Ether extract (% dry Matter) and fatty acid composition of lipid fractions
\r\n\tIn the last decades, particular attention to this field has been paid to the coastal erosion problem all over the world. Indeed, the deployment of artificial reservoirs, modification of the runoff characteristics of internal areas, sand extraction from rivers, and harbor siltation, caused a decrease of sediment input on the coastal environments, and, therefore, a generalized deficit in the sediment budget. Often, dredging activities are required to collect sediment finalized to “soft” techniques to restore beaches or to move the sand trapped in the harbor (clean or contaminated).
\r\n\tMoreover, the coastal protections induced hydrodynamics and morphodynamics modifications inducing sometimes strong variations to the sediment transport regime.
\r\n\tHistorically, all these aspects are related to specific research areas ranging from engineering, geology, geomorphology, biology, etc, but it is difficult to find a comprehensive overview of these topics.
\r\n\r\n\tThis book is intended to collect original works and review concerning numerical and experimental investigation, theoretical works, methodological approaches, and any other technique that allow giving the actual state-of-the-art in the field of sediment transport.
",isbn:"978-1-80355-868-4",printIsbn:"978-1-80355-867-7",pdfIsbn:"978-1-80355-869-1",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"e7b1c1592e32fe87af399022616ad0f8",bookSignature:"Dr. Davide Pasquali",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11136.jpg",keywords:"Longshore Sediment Transport, Sediment Budget, Morphodynamics, Hydrodynamics, Sediment Transport, Sedimentation, Mathematical Modelling, Erosion and Deposition, Dredging, Harbor Siltation, Contaminated Sediment, Water Quality",numberOfDownloads:50,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 4th 2021",dateEndSecondStepPublish:"February 23rd 2022",dateEndThirdStepPublish:"April 24th 2022",dateEndFourthStepPublish:"July 13th 2022",dateEndFifthStepPublish:"September 11th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"3 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Davide Pasquali is currently a Research Fellow in the Department of Civil, Construction-Architectural, and Environmental Engineering (DICEAA) at the University of L’Aquila. His research interests are focused on water wave generation and propagation, coastal hydrodynamic and morphodynamic, physical and numerical modeling of wave-structure interaction, wave energy assessment and extraction, risk analysis, and marine sediments transport.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"309493",title:"Dr.",name:"Davide",middleName:null,surname:"Pasquali",slug:"davide-pasquali",fullName:"Davide Pasquali",profilePictureURL:"https://mts.intechopen.com/storage/users/309493/images/system/309493.jpg",biography:"Davide Pasquali is currently a Research Fellow in the Department of Civil, Construction-Architectural and Environmental Engineering (DICEAA) at the University of L’Aquila. In 2011, he received his Master’s Degree (cum laude) in Civil Engineering and in 2015 he received his Ph.D. in Civil Engineering at the University of L’Aquila. His research interests are focused on water wave generation and propagation, coastal hydrodynamic and morphodynamic, physical and numerical modeling of wave-structure interaction, wave energy assessment and extraction, risk analysis, and marine sediments transport.",institutionString:"University of L'Aquila",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of L'Aquila",institutionURL:null,country:{name:"Italy"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"10",title:"Earth and Planetary Sciences",slug:"earth-and-planetary-sciences"}],chapters:[{id:"81410",title:"Sediment Transport in River Flows: New Approaches and Formulas",slug:"sediment-transport-in-river-flows-new-approaches-and-formulas",totalDownloads:16,totalCrossrefCites:0,authors:[null]},{id:"81522",title:"Study of Polydisperse Particulate Systems with a ‘Direct-Forcing/Fictitious Domain’ Method",slug:"study-of-polydisperse-particulate-systems-with-a-direct-forcing-fictitious-domain-method",totalDownloads:9,totalCrossrefCites:0,authors:[{id:"36826",title:"Dr.",name:"Sylvain",surname:"Guillou",slug:"sylvain-guillou",fullName:"Sylvain Guillou"},{id:"90767",title:"MSc.",name:"Romuald",surname:"Verjus",slug:"romuald-verjus",fullName:"Romuald Verjus"}]},{id:"80965",title:"Assessment of Hydraulic Conductivity of Porous Media Using Empirical Relationships",slug:"assessment-of-hydraulic-conductivity-of-porous-media-using-empirical-relationships",totalDownloads:25,totalCrossrefCites:0,authors:[null]}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"278926",firstName:"Ivana",lastName:"Barac",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/278926/images/8058_n.jpg",email:"ivana.b@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"5962",title:"Estuary",subtitle:null,isOpenForSubmission:!1,hash:"43058846a64b270e9167d478e966161a",slug:"estuary",bookSignature:"William Froneman",coverURL:"https://cdn.intechopen.com/books/images_new/5962.jpg",editedByType:"Edited by",editors:[{id:"109336",title:"Prof.",name:"William",surname:"Froneman",slug:"william-froneman",fullName:"William Froneman"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2270",title:"Fourier Transform",subtitle:"Materials Analysis",isOpenForSubmission:!1,hash:"5e094b066da527193e878e160b4772af",slug:"fourier-transform-materials-analysis",bookSignature:"Salih Mohammed Salih",coverURL:"https://cdn.intechopen.com/books/images_new/2270.jpg",editedByType:"Edited by",editors:[{id:"111691",title:"Dr.Ing.",name:"Salih",surname:"Salih",slug:"salih-salih",fullName:"Salih Salih"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"43586",title:"Reduced Consumption of Olive Oil: A Risk for Ischemic Heart Disease?",doi:"10.5772/54035",slug:"reduced-consumption-of-olive-oil-a-risk-for-ischemic-heart-disease-",body:'Comparing the nutritional content of food to individual health status, there are several considerations that can be informative and raise troubling concerns. For many decades, researchers have investigated the relationships between health status and consumption of extra virgin olive oil. Extra virgin olive oil (and oleic acid) is considered important for the prevention and coronary heart disease. While the biomolecular aspects involving G protein need further research, oleic acid levels in platelets may be a discriminating factor, together with linoleic and arachidonic acid, for coronary heart disease. There is still a huge debate regarding the effects of oleic acid alone or in combination with antioxidants.
Coronary Heart Disease (CHD) is the main cause of death and morbidity in industrialized countries. The incidence of myocardial infarction, however, is highly variable, with lower rates in Mediterranean countries compared to those in northern Europe, USA, or Australia [1]. Paradoxically, the low incidence of myocardial infarction occurs in spite of a high prevalence of classical cardiovascular risk factors [2].
Olive oil is the primary source of fat in the Mediterranean diet. The beneficial effects of olive oil on CHD have now been recognized, and are often attributed to the high levels of monounsaturated fatty acids (MUFA) [3]. Indeed, in November 2004, the US Federal Drug Administration (FDA) allowed a claim on olive oil labels concerning “the benefits on the risk of coronary heart disease of eating about two tablespoons (23 g) of olive oil daily, due to the MUFA in olive oil” [4].
Oleic acid, and especially that obtained from pressing olives, is a crucial element in the prevention of ischemic cardiovascular disease, as has been demonstrated by a series of international scientific activity. Fatty acids other than n-3 Polyunsaturated Fatty Acids (PUFAs) can interact with the metabolism of eicosanoids and potentially influence platelet function. For example, there is evidence that diets rich in unsaturated fatty acids, such as linoleic acid and oleic acid, can also decrease thromboembolic risk by replacing arachidonic acid in platelet phospholipids, decreasing, at least in vitro, the production of thromboxane A2 [TXA2] and platelet aggregation. However, there is little conclusive evidence that platelet function in vivo is affected by diet [5].
Oleic acid has been found to be a potent inhibitor of platelet aggregating factor (PAF) and serotonin secretion. Consequently, in order to understand the molecular mechanisms of oleic acid action, the effects of this fatty acid on several biochemical events associated with platelet aggregation induced by PAF have been investigated. In particular, it has been found that oleic acid causes a decrease in the levels of phosphatidyl inositide phosphate (PIP) and PIP2, which is associated with an inhibition of platelet aggregation induced by PAF. These results suggest that inhibition of the PAF response by oleic acid may be at least one of the steps involved in signal transduction [6].
Several literature reports have further suggested that olive oil may inhibit platelet function. This possible effect is of interest for two reasons. First, it may contribute to the apparent anti-atherogenic effects of olive oil, and second, it may invalidate the use of olive oil as an inert placebo in studies of platelet function. After exposure to olive oil, platelet aggregation and TXA2 release decreased, and the content of platelet membrane oleic acid increased significantly; platelet membrane arachidonic acid content was found to significantly decrease. This suggests that excess of oleic acid impairs the incorporation of arachidonic acid into platelet phospholipids.
Olive oil also has an inhibitory effect on various aspects of platelet function, which might be associated with decreased risk for heart disease, although fish intake also plays a protective role [7].
The beneficial effects of olive oil can be attributed to its high content of oleic acid (70-80%). The consumption of olive oil increases the levels of oleic acid in cell membranes, which helps to regulate the structure of membrane lipids through the control of signal-mediated G-protein, causing a reduction in blood pressure [8].
In rats, cardiovascular tissues treated with 2-OHOA (hydroxy oleic acid) show activation of cAMP in response to activation of Gsα protein, which can be attributed to increased expression of Gsα proteins. As a result, there is significant reduction in systolic blood pressure [9]. The involvement of Gs alpha protein is also of interest considering the hypothesis forwarded by Cocchi, Tonello, Rasenick and Hameroff in psychiatric disorders as depression, suicide etc. (private meeting, 2008). In light of the below model, the role of Gsα protein in ischemic heart disease merits further investigation.
Description of selected biochemical and biomolecular events potentially involved in psychiatric disorders.
In figure 1, the molecular depression hypothesis described by Cocchi et al. [10], Donati et al. [11] and Hameroff and Penrose [12] is shown. Because of the possible similarity of the platelet to neurons, membrane viscosity can modify Gsα protein status. The Gsα protein is associated with tubulin. Depending on local membrane lipid composition, tubulin may serve as a positive or negative regulator of phosphatidylinositol bisphosphate hydrolysis (PIP2) similar to G proteins. Tubulin is known to form high-affinity complexes with certain G proteins. The formation of these complexes allows tubulin to activate Gsα protein and creates a system whereby elements of the cytoskeleton can influence G-protein signaling. Rapid changes in membrane lipid composition or the cytoskeleton can modify neuronal signaling through such a mechanism.
Protein kinase C (PKC) activation (Figure 2) is preceded by a number of steps, originating from the binding of an extracellular ligand that activates a G-protein on the cytosolic side of the plasma membrane. This G-protein, using guanosine triphosphate (GTP) as an energy source, then activates protein kinase C (PKC) via the phosphatidylinositol bisphosphate (PIP2) intermediate, which is shown as the diacylglycerol DAG/IP3 complex. Several studies have shown that a reduced functionality of the serotonin (5-HT) transporter in some psychiatric disorders, such as obsessive-compulsive disorder (OCD), may be related to alterations in its regulation at an intracellular level. PKC has also been reported to provoke a decrease in the number of 5-HT transporter proteins. The increased activity of PKC in OCD may be the result of increased activity of the phosphatidylinositol pathway.
Description of PKC activation. Adapted from Alberts et al. [
The exclusive use of olive oil during food preparation seems to offer significant protection against ischemic heart disease, in spite of poor clinical conditions, lifestyle and other characteristics of individuals [14]. In addition, several historical papers have reported on the positive effects of olive oil on CHD.
In 1985, Mattson and Grundy [15] reported that olive oil reduces HDL cholesterol, which plays a protective, anti-atherogenic function, favoring the elimination of LDL-cholesterol. In 1986, Sirtori et al. [16] have shown that in addition to its effects on cholesterol and atherosclerosis, olive oil has preventive action on thrombosis and platelet aggregation. High intake of olive oil is not harmful, and reduces the levels of LDL-cholesterol, but not HDL [17 - 25].
Atherosclerosis is considered to be an inflammatory disease [26], and endothelial dysfunction occurs early in the development of the pathology. Traditional risk factors for atherosclerosis promote endothelium activation, which induces adhesion and trans-endothelial migration of monocytes [26]. Several inflammatory mediators are released by the endothelium such as the eicosanoids derived from n-6 PUFA arachidonic acid. These include prostaglandin E2 (PGE2), leukotriene B4, a chemoattractant and neutrophile activator, thromboxane, a potent vasoconstrictor, and platelet-aggregating factor [27].
Monocytes and macrophages are critical cells present in all stages of atherosclerosis. In addition to promoting LDL oxidation through free radical production, they also secrete proinflammatory cytokines such as IL-1 and Tumor Necrosis Factor (TNF), which stimulate the expression of adhesion molecules such as intercellular cell adhesion molecule-1 (ICAM-1), vascular-cell adhesion molecule-1 (VCAM-1), and E-selectin [25]. Circulating monocytes are attracted by these molecules and adhere to the endothelium, from which they transmigrate to the subendothelial space. Once within the endothelium, monocytes differentiate into macrophages, which in turn scavenge oxidized LDL, thus becoming foam cells and lead to plaque formation.
The proinflammatory response releases a principal messenger from macrophages, namely cytokine IL6. After engagement of its receptor on the liver, IL6 promotes the secretion of C Reactive Protein (CRP), a prototypic marker of inflammation [28, 29]. Serum IL6 and CRP have been shown to be predictive of CHD. Altered levels of serum CRP, IL6, and ICAM-1 have been associated with progression of atherosclerosis, and IL6 has been shown to be a good predictor of progressive peripheral atherosclerosis [30, 31].
The inflammatory protection of diets rich in oleic acid has been attributed to a decrease in the content of LDL linoleic acid [32]. The low susceptibility of oleic acid to oxidation, and the scavenging capacity of minor compounds in olive oil, can decrease the activation of pro-inflammatory transcription factors, such as nuclear factor-kappa B (NFkB), through a reduction of reactive oxygen spices and peroxyl radicals [33]. In this regard, it has been reported that consumption of meals enriched in olive oil do not activate NFkB in monocytes in contrast to meals rich in butter and walnut-enriched meals [34]. Studies on oleic acid enriched liposomes and vascular endothelium exposed to oleic acid, however, suggest a protective mechanism of oleic acid on free radical generation, oxidative damage to lipids, and inflammatory activity [35, 36].
Recent data suggest that oleic acid is not the only agent responsible for the anti-inflammatory properties of olive oil. In experimental studies, minor components of the unsaponifiable fraction of olive oil, such as alfa-tocopherol, beta-sitosterol, and triterpenes, in addition to phenolic compounds, have all been shown to have both anti-inflammatory and anti-endothelial activation properties [37]. The results of a meta-analysis of 14 studies carried out during 1983–1994 showed that the replacement of SFA by oils enriched in MUFA or PUFA had similar effects on total, LDL, and HDL cholesterol, whereas PUFA-enriched oil had a slight triglyceride-lowering effect [38]. Dubois et al. [39] showed that increasing the amount of fat up to 50 g led to stepwise increases in the postprandial rise of serum triglycerides, while the ingestion of 15 g fat had no effect on postprandial lipemia or lipoproteins in healthy adults. A meal containing 31 g of fat induced considerably less variations in lipemia, chylomicrons, and lipoproteins than a 42 g fat meal [39]. A single dose of 25 mL olive oil was not found to promote postprandial lipemia [40], in contrast to 40 mL and 50 mL doses [41, 42] with no effect on the phenolic content of the olive oil.
Abia et al. [43] reported that virgin olive oil intake resulted in lower postprandial triacylglyceride-rich-lipoprotein (TRL) levels and a faster disappearance of TRL-TG from blood, compared to intake of sunflower oil with a high content of oleic acid. Chylomicrons produced after olive oil [44, 45] or n-3 PUFA [46] ingestion seem to enter the circulation more rapidly, and cleared at a faster rate, in comparison to those produced after intake of fats rich in SFA or PUFA. Although fat intake appears to be the major nutritional determinant of the postprandrial triglyceride response, it is also influenced by other dietary components, including fiber, glucose, starch, and alcohol in a meal [47].
The oxidative modification of LDL plays a key role in development of atherosclerosis and CHD. Oxidation of lipids and lipoproteins present in LDL leads to a change in the lipoprotein conformation by which LDL are more facilitated to enter the monocyte/macrophage system of the arterial wall, and promote the atherosclerotic process [48]. It is currently believed that oxidized LDL are more damaging to the arterial wall than native LDL [49]. Elevated concentrations of circulating oxidized LDL show a positive relationship with the severity of acute coronary events [50, 51]. They are also independently associated with carotid intima-media thickness [52] and are predictors for CHD both in CHD patients [53] and the general population [54]. Several studies have been performed comparing the effects of MUFA-rich diets on the susceptibility of LDL to oxidation with those of PUFA- or carbohydrate-rich diets. Oleate-rich LDL have been shown to be less susceptible to oxidation than linoleate rich LDL [55-61].
Because of the particular role of platelets on depressive and thrombogenetic risk, our group has investigated the platelet fatty acid profile in three groups of subjects: healthy (n=60), ischemic (n= 50) and depressive (n= 84). The aim of the study was to understand which fatty acid could be utilized as markers of ischemic cardiovascular pathology and depressive disorder, and to classify subjects using an artificial neural network (ANN). All the ANNs tested gave essentially the same result. However, one type of ANN, known as Self-Organizing Map (SOM), [62, 63, 64], gave additional information by allowing the results to be described in a two-dimensional plane with potentially informative border areas. The central property of the SOM is that it forms a nonlinear projection of a high-dimensional data manifold on a regular, low-dimensional (usually 2D) grid.
A series of repeated and independent SOM simulations, with the input parameters being changed each time, led to the finding that the best discriminating map was that obtained by inclusion of the following three fatty acids: palmitic acid (C16:0), linoleic acid (C18:2
A 42-year-old female with a very high familial risk for ischemic cardiovascular disease (one sister 34 years old died of heart attack; another sister, 48 years old, heart attack; uncle, two infarctions; mother, 69 years old, died of heart attack; aunt, 59 years old, died of heart attack), was submitted to a classic complete functional cardiovascular investigation which resulted negative. The subject is a heavy smoker, cholesterol: 230 mg/dl, HDL: 84 mg/dl. Framingham score: 13 (low risk score). Platelet levels of oleic acid, linoleic acid and arachidonic acid were analyzed using the SOM designed for ischemic patients, and the concentrations of those fatty acids were entered in the SOM. The subject detailed information on the study and provided informed consent. The patient’s fatty acid triplet, tested in the SOM, gave the following result (Figure 5).
SOM classification of depressive subjects (red) against normal subjects (green). Platelet arachidonic acid (C20:4), palmitic acid (C16:0), and linoleic acid (C18:2) can discriminate depression and have diagnostic power.
SOM classification of ischemic subjects (red) against normal subjects (green). Platelet oleic acid (C18:1), arachidonic acid (C20:4), linoleic acid (C18:2) can discriminate ischemia and have diagnostic power.
Position of the patient according to the three fatty acids (oleic, linoleic and arachidonic) on the SOM, which classifies ischemic patients.
This result was compared with the SOM classification of normal and pathologic subjects, as shown in figure 4. The patient was asked to submit herself to a Coronary TAC and the images showed ”Interventricular Anterior (IVA) branch: small mixed plaque in the proximal tract, 33% of the lumen” (radiological diagnosis). The result suggests the opportunity to select young high risk subjects to evaluate not only the diagnostic power of the SOM, but also the possibility for early diagnosis of plaque formation. A large trial is necessary to validate this result, but based on the classical rules of Evidence Based Medicine, it is very difficult to obtain approval from an ethic’s committee.
Medical science has not yet fully understood or accepted the use of the ANN mathematic models in relation to experimental conditions, which are still strongly linked to traditional protocols. The task of finding biomarkers according to the rules dictated by Evidence Based Medicine requires the elimination of selection bias, and leads to selection of a population that may be clinically unrealistic. The characteristics of the above-described method nonetheless allow the analysis to be carried out, and permit to find differences among subsets of the population.
The first fundamental consequence of the use of fatty acids is that an extremely effective and practical diagnostic tool can be obtained, with a strong tolerance to “noise”. Secondly, the choice of specific fatty acids and their relative strength in the classification by the SOM allows investigating more in-depth investigation of the problem and helps in understanding the disease from the biochemical point of view.
To demonstrate the powerful grouping capacity of the SOM, we created a new network where all three groups were inserted and grouped simultaneously on the basis of the characteristics of the triplets previously highlighted, which were all different from one another [68] (Figure 6).
Simultaneous classification, using the SOM, of three groups of subjects (normal, depressive and ischemic). In the right corner of the map, ischemic and depressive subjects are mixed and have, in common, a low level of platelet oleic acid.
As shown by the SOM, it is possible that reduced amounts of oleic acid not only are critical in the biochemical classification of ischemic heart disease, but are also common to a condition that characterizes a relationship between depression and ischemia [69]. It seems possible that levels of C18:1 in platelets dominate in ischemia, and are linked to depression. Furthermore, it can be conjectured that there are two different types of depression, namely classical and ischemia-induced according to the findings of different platelet membrane viscosity and its effect at the biomolecular level. [10-12, 70]. The relationships between depression and ischemic heart disease have been widely studied [71, 72]. Interestingly, Weyers and Colquhoun [73] reported improvements in depressive symptoms in patients with CHD after consumption of olive oil.
The question then arises as to whether there is sufficient consumption of olive oil and oleic acid in the Italian population. Knowing that oleic acid can significantly change the composition of platelet fatty acids, which are crucial in the genesis of plaque formation, and can significantly alter the amount of oleic acid in platelet membranes, an experiment on a large group of pigs (80 Duroc x Large White) was performed [74]. Four groups of pigs were studied, 20 animals each, which received four diets containing different lipid fractions, as follows:
Diet 1: corn oil (low linoleic acid.), diet 2: corn oil (medium linoleic acid.), diet 3: sunflower oil (high oleic acid.), diet 4: sunflower oil (high oleic acid) + palm oil (high palmitic acid). The diets fed to animals, to meet the needs for growth, had the following lipid composition (Table 1):
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
50 - 90 | \n\t\t\t1 | \n\t\t\t2.70 | \n\t\t\t13.13 | \n\t\t\t2.05 | \n\t\t\t31.07 | \n\t\t\t50.90 | \n\t\t\t2.59 | \n\t\t
50 - 90 | \n\t\t\t2 | \n\t\t\t2.86 | \n\t\t\t14.37 | \n\t\t\t2.04 | \n\t\t\t26.40 | \n\t\t\t54.54 | \n\t\t\t2.42 | \n\t\t
50 - 90 | \n\t\t\t3 | \n\t\t\t5.30 | \n\t\t\t8.91 | \n\t\t\t2.39 | \n\t\t\t56.47 | \n\t\t\t30.23 | \n\t\t\t1.27 | \n\t\t
50 - 90 | \n\t\t\t4 | \n\t\t\t5.37 | \n\t\t\t18.67 | \n\t\t\t8.36 | \n\t\t\t39.99 | \n\t\t\t30.86 | \n\t\t\t1.40 | \n\t\t
90 - 120 | \n\t\t\t1 | \n\t\t\t2.63 | \n\t\t\t12.83 | \n\t\t\t1.72 | \n\t\t\t31.60 | \n\t\t\t51.15 | \n\t\t\t2.38 | \n\t\t
90 - 120 | \n\t\t\t2 | \n\t\t\t2.57 | \n\t\t\t14.16 | \n\t\t\t1.94 | \n\t\t\t25.76 | \n\t\t\t54.96 | \n\t\t\t2.55 | \n\t\t
90 - 120 | \n\t\t\t3 | \n\t\t\t5.56 | \n\t\t\t8.81 | \n\t\t\t2.44 | \n\t\t\t57.12 | \n\t\t\t29.73 | \n\t\t\t1.26 | \n\t\t
90 - 120 | \n\t\t\t4 | \n\t\t\t5.62 | \n\t\t\t20.02 | \n\t\t\t9.26 | \n\t\t\t39.41 | \n\t\t\t29.59 | \n\t\t\t1.12 | \n\t\t
120 - 160 | \n\t\t\t1 | \n\t\t\t2.83 | \n\t\t\t13.32 | \n\t\t\t1.69 | \n\t\t\t30.46 | \n\t\t\t52.00 | \n\t\t\t2.41 | \n\t\t
120 - 160 | \n\t\t\t2 | \n\t\t\t2.89 | \n\t\t\t13.75 | \n\t\t\t1.88 | \n\t\t\t25.65 | \n\t\t\t56.29 | \n\t\t\t2.35 | \n\t\t
120 - 160 | \n\t\t\t3 | \n\t\t\t5.74 | \n\t\t\t8.54 | \n\t\t\t2.10 | \n\t\t\t57.18 | \n\t\t\t30.91 | \n\t\t\t1.07 | \n\t\t
120 - 160 | \n\t\t\t4 | \n\t\t\t5.76 | \n\t\t\t19.71 | \n\t\t\t9.25 | \n\t\t\t39.16 | \n\t\t\t30.25 | \n\t\t\t1.17 | \n\t\t
Ether extract (% dry Matter) and fatty acid composition of lipid fractions
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t|
Diet 1 | \n\t\t\tMedia s.d. | \n\t\t\t28.51a\n\t\t\t | \n\t\t\t32.00 | \n\t\t\t17.38 B\n\t\t\t | \n\t\t\t9.30 | \n\t\t\t0.63a | \n\t\t\t12.19 AB\n\t\t\t | \n\t\t
1.84 | \n\t\t\t10.70 | \n\t\t\t5.63 | \n\t\t\t3.40 | \n\t\t\t0.36 | \n\t\t\t5.18 | \n\t\t||
Diet 2 | \n\t\t\tMedia s.d. | \n\t\t\t27.73 ab\n\t\t\t | \n\t\t\t29.01 | \n\t\t\t18.0 B\n\t\t\t | \n\t\t\t9.07 | \n\t\t\t0.48ab | \n\t\t\t15.6 A\n\t\t\t | \n\t\t
1.47 | \n\t\t\t8.48 | \n\t\t\t3.17 | \n\t\t\t2.88 | \n\t\t\t0.29 | \n\t\t\t4.52 | \n\t\t||
Diet 3 | \n\t\t\tMedia s.d. | \n\t\t\t27.00ab\n\t\t\t | \n\t\t\t27.78 | \n\t\t\t24.93 A\n\t\t\t | \n\t\t\t9.37 | \n\t\t\t0.34b\n\t\t\t | \n\t\t\t10.59B\n\t\t\t | \n\t\t
2.07 | \n\t\t\t8.12 | \n\t\t\t6.78 | \n\t\t\t3.10 | \n\t\t\t0.25 | \n\t\t\t4.48 | \n\t\t||
Diet 4 | \n\t\t\tMedia s.d. | \n\t\t\t26.51b\n\t\t\t | \n\t\t\t32.04 | \n\t\t\t19.36 B\n\t\t\t | \n\t\t\t9.32 | \n\t\t\t0.51ab\n\t\t\t | \n\t\t\t12.25AB\n\t\t\t | \n\t\t
2.63 | \n\t\t\t11.07 | \n\t\t\t5.43 | \n\t\t\t3.64 | \n\t\t\t0.32 | \n\t\t\t4.27 | \n\t\t||
P | \n\t\t\t<0.05 | \n\t\t\tn.s. | \n\t\t\t<0.01 | \n\t\t\tn.s. | \n\t\t\t<0.05 | \n\t\t\t<0.01 | \n\t\t
Mean values ± SD of platelet fatty acids in the different treatment groups
The platelet fatty acids (Table 2) were plotted as for ischemic and normal human subjects in the SOM for ischemia (Figure 7).
By increasing the oleic acid content in diets is possible to move pig platelets, in agreement with the fatty acid triplet [
It is feasible to obtain similar results in humans. If one considers the characteristics described for the pig model of atherosclerosis [75], and applying similar characteristics to humans, it can be assumed that we should consume a quantity of oleic acid, and consequently, extra virgin olive oil, that is at least twice that of current levels. To demonstrate this, we made simple considerations based on the purchase of olive oil in Italy (Data provided by the Istituto di Servizi per il Mercato Agricolo Alimentare (ISMEA).
Based on data provided and taking into account that the value derived from the table should be increased by 40%, since about 40% of purchase data were excluded, the consumption of extra virgin olive oil for each Italian is on average, about 11.76 grams of oleic acid daily, considering that olive oil is on average value about 70% oleic acid. This value is even likely to be less, as much oil is also used for frying, and therefore cannot be included as part of raw consumption. While this quantity is very small, there are also regional differences between the north and south of Italy.
This observation is also related to the observation that current eating behavior does not allow large consumption of olive oil. It should be remembered that meals eaten out of the household, often consisting of a sandwich, make it difficult to consume extra virgin olive oil in larger quantities. While the eating habits of rural areas may still be able to compensate this situation, there is an increasing trend to gradually move away from such traditions.
Recently, we investigated the consumption of olive oil in a restaurant in the Center-North of Italy, (2750 subjects in one month). The average consumption of olive oil was 1.8 g per customer per month, which corresponds to about 1.26 g of oleic acid. Together with the above cited data, this results confirms that olive oil is not consumed in large quantities. Given this, as Ancel Keys pointed out, one wonders if the Mediterranean diet is still a model of health, considering the consumption of extra virgin olive oil.
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
butanoic | \n\t\t\tbutyric | \n\t\t\t4:0 | \n\t\t\t88.1 | \n\t\t\t-7.9 | \n\t\t
pentanoic | \n\t\t\tvaleric | \n\t\t\t5:0 | \n\t\t\t102,1 | \n\t\t\t-19 | \n\t\t
hexanoic | \n\t\t\tcaproic | \n\t\t\t6:0 | \n\t\t\t116.1 | \n\t\t\t-3.4 | \n\t\t
octanoic | \n\t\t\tcaprylic | \n\t\t\t8:0 | \n\t\t\t144.2 | \n\t\t\t16.7 | \n\t\t
nonanoic | \n\t\t\tpelargonic | \n\t\t\t9:0 | \n\t\t\t158.2 | \n\t\t\t12.5 | \n\t\t
decanoic | \n\t\t\tcapric | \n\t\t\t10:0 | \n\t\t\t172.3 | \n\t\t\t31.6 | \n\t\t
dodecanoic | \n\t\t\tlauric | \n\t\t\t12:0 | \n\t\t\t200.3 | \n\t\t\t44.2 | \n\t\t
tetradecanoic | \n\t\t\tmyristic | \n\t\t\t14:0 | \n\t\t\t228.4 | \n\t\t\t53.9 | \n\t\t
hexadecanoic | \n\t\t\tpalmitic | \n\t\t\t16:0 | \n\t\t\t256.4 | \n\t\t\t63.1 | \n\t\t
heptadecanoic | \n\t\t\tmargaric (daturic) | \n\t\t\t17:0 | \n\t\t\t270.4 | \n\t\t\t61.3 | \n\t\t
octadecanoic | \n\t\t\tstearic | \n\t\t\t18:0 | \n\t\t\t284.4 | \n\t\t\t69.6 | \n\t\t
eicosanoic | \n\t\t\tarachidic | \n\t\t\t20:0 | \n\t\t\t312.5 | \n\t\t\t75.3 | \n\t\t
docosanoic | \n\t\t\tbehenic | \n\t\t\t22:0 | \n\t\t\t340.5 | \n\t\t\t79.9 | \n\t\t
tetracosanoic | \n\t\t\tlignoceric | \n\t\t\t24:0 | \n\t\t\t368.6 | \n\t\t\t84.2 | \n\t\t
\n\t\t\t\t | \n\t\t\tpalmitoleic | \n\t\t\t16:1(n-7) | \n\t\t\t254.4 | \n\t\t\t0.5 | \n\t\t
\n\t\t\t\t | \n\t\t\toleic | \n\t\t\t18:1(n-9) | \n\t\t\t282.4 | \n\t\t\t16.2 | \n\t\t
\n\t\t\t\t | \n\t\t\telaidic | \n\t\t\ttr18:1(n-9) | \n\t\t\t282.4 | \n\t\t\t43.7 | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t18:1(n-7) | \n\t\t\t282.4 | \n\t\t\t39 | \n\t\t
\n\t\t\t\t | \n\t\t\tgadoleic | \n\t\t\t20:1(n-11) | \n\t\t\t310.5 | \n\t\t\t25 | \n\t\t
\n\t\t\t\t | \n\t\t\terucic | \n\t\t\t22:1(n-9) | \n\t\t\t338.6 | \n\t\t\t33.4 | \n\t\t
9,12-octadecadienoic | \n\t\t\tlinoleic | \n\t\t\t18:2(n-6) | \n\t\t\t280.4 | \n\t\t\t-5 | \n\t\t
6,9,12-octadecatrienoic | \n\t\t\tγ-linolenic | \n\t\t\t18:3(n-6) | \n\t\t\t278.4 | \n\t\t\t\n\t\t |
9,12,15-octadecatrienoic | \n\t\t\tα-linolenic | \n\t\t\t18:3(n-3) | \n\t\t\t278.4 | \n\t\t\t-11 | \n\t\t
8,11,14-eiosatrienoic | \n\t\t\tdihomo-γ-linolenic | \n\t\t\t20:3(n-6) | \n\t\t\t306.5 | \n\t\t\t\n\t\t |
5,8,11,14-eicosatetraenoic | \n\t\t\tarachidonic | \n\t\t\t20:4(n-6) | \n\t\t\t304. | \n\t\t\t-50 | \n\t\t
6,912,15-octadecatetraenoic | \n\t\t\tstearidonic | \n\t\t\t18:4(n-3) | \n\t\t\t276.4 | \n\t\t\t-57 | \n\t\t
5,8,11,14,17-eicosapentaenoic | \n\t\t\tEPA | \n\t\t\t20:5(n-3) | \n\t\t\t302.5 | \n\t\t\t-54 | \n\t\t
7,10,13,16,19-docosapentaenoi | \n\t\t\tDPA | \n\t\t\t22:5(n-3) | \n\t\t\t330.6 | \n\t\t\t\n\t\t |
4,7,10,13,16,19-docosahexaenoic | \n\t\t\tDHA | \n\t\t\t22:6(n-3) | \n\t\t\t328.6 | \n\t\t\t-44 | \n\t\t
Selected chemical and physical characteristics of fatty acids
(see: http://216.239.59.104/search?q=cache:qTHq_xfePkIJ:www.cyberlipid.org/fa/acid0001.htm+Aitzetm%C3%BCller+K&hl=it)
Fatty acids have different functions in living organisms, including the structural one, which are determined by the length of their hydrocarbon chain and the presence or absence of double bonds. Hydrocarbon chain length, in the same conditions of unsaturation, is directly proportional to the melting point (as well as the boiling point) (Table 3). The solubility in water (Table 4) and unsaturation, for the same chain length, is inversely proportional to the melting point (see Table 3), with very few exceptions.
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
\n\t\t\t\t | \n\t\t\tInfinite | \n\t\t
\n\t\t\t\t | \n\t\t\tInfinite | \n\t\t
\n\t\t\t\t | \n\t\t\t9.7 | \n\t\t
\n\t\t\t\t | \n\t\t\t0.7 | \n\t\t
\n\t\t\t\t | \n\t\t\t0.15 | \n\t\t
\n\t\t\t\t | \n\t\t\t0.055 | \n\t\t
\n\t\t\t\t | \n\t\t\t0.02 | \n\t\t
\n\t\t\t\t | \n\t\t\t0.007 | \n\t\t
\n\t\t\t\t | \n\t\t\t0.003 | \n\t\t
Fatty acid solubility in water at 20°C (in grams per liter)
These chemical differences are determined in large part by chemical and physical interactions that exist when molecules are close enough to unsaturate them. In the case of fatty acids, the possibility to join molecules depends only on the hydrocarbon chain (Van der Waals forces), which is facilitated when it is saturated and more difficult when unsaturated (especially at the point of unsaturation). The longer and more linear the chain, the greater the interaction, and the more unsaturated it will be, consequently, the interaction will be lower. When fatty acids are part of a triglyceride or phospholipid, the effect occurs in a similar manner and therefore, in biological membranes, a greater or lesser chance of interaction corresponds to greater or lesser "fluidity" of the membrane, which is proportional to more or less functionality (permeability).
At room temperature, in terms of membrane structure, fatty acids are important, and the ones that are more widespread in nature are those with 18 total carbon atoms, especially unsaturated. Modulation of proper membrane fluidity requires that some fatty acids are relatively "rigid", such as palmitic and stearic acid, with a preference for the former since it has a lower melting point and thus is more effective in bringing about small changes.
One of the most important aspects of biological systems that protect themselves through membranes is the preservation of integrity of the membrane itself, which is subject to contact with chemical reactive oxygen species (ROS), and capable of chemically attacking the unsaturated zone of the molecule. Greater effectiveness is related to a greater level of unsaturation, leading to subsequent breakage of the molecule with increased membrane fragility. For these reasons, the membrane is associated with a series of antioxidants, whose action is linked to their position in the membrane [75]. Oleic acid is the least oxidizable among unsaturated fatty acids (Table 5), and is also not too fluid or too rigid, and is thus suitable for prolonging membrane stability [76, 77].
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
\n\t\t\t\t | \n\t\t\t1 | \n\t\t\t1 | \n\t\t\t\n\t\t |
\n\t\t\t\t | \n\t\t\t10 | \n\t\t\t100 | \n\t\t\t1.1 (32,000)* | \n\t\t
\n\t\t\t\t | \n\t\t\t100 | \n\t\t\t1200 | \n\t\t\t2.9 (1600)* | \n\t\t
\n\t\t\t\t | \n\t\t\t200 | \n\t\t\t2500 | \n\t\t\t3.5 | \n\t\t
TETRAENES** | \n\t\t\t300 | \n\t\t\t\n\t\t\t | \n\t\t |
PENTAENES** | \n\t\t\t400 | \n\t\t\t\n\t\t\t | \n\t\t |
HESAENES** | \n\t\t\t500 | \n\t\t\t\n\t\t\t | \n\t\t |
Oxidation rate of several unsaturated fatty acids [Modified from Gunstone et al. [76]]
* In brackets ratio between photoxidation and autoxidation is shown
** Hypothesis based on physical-chemical behavior
The rate of oxidation between various unsaturated fatty acids shown in Table 5 appears increased between oleic acid (monoenes) and linoleic acid (dienes), but upon increasing the unsaturation (trienes), the variation is much less pronounced. In biological systems, the position of the fatty acid in glycerides or phospholipids [77] appears to influence the rate of oxidation, and is slower when inserted in position 2, or in the β position of the molecule. In the case of olive oil, as in all vegetable fats (Table 6), the 2 position is occupied by unsaturated fatty acids, and is more available in that position because it can directly cross the intestinal wall of the 2-monoglycerides, resulting from digestion of glycerides by pancreatic lipase. In particular, on a molar basis, 83% of unsaturated fatty acids, in position 2 of triglycerides in olive oil, is occupied by oleic acid.
For extra virgin olive oil, its total unsaturation makes it particularly stable (Table 7) [79, 80] so that appropriate conservation, which is further prolonged by the presence of numerous and effective natural antioxidants (biophenol), is still present after refining, in contrast to other oils.
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
Women milk* | \n\t\t\t1 | \n\t\t\t3.2 | \n\t\t\t16.1 | \n\t\t\t15.0 | \n\t\t\t46.1 | \n\t\t\t11 | \n\t\t\t0.4 | \n\t\t\t\n\t\t\t | \n\t\t |
2 | \n\t\t\t7.3 | \n\t\t\t58.2 | \n\t\t\t3.3 | \n\t\t\t12.7 | \n\t\t\t7.3 | \n\t\t\t0.6 | \n\t\t\t\n\t\t\t | \n\t\t | |
3 | \n\t\t\t7.1 | \n\t\t\t6.2 | \n\t\t\t2.0 | \n\t\t\t49.7 | \n\t\t\t2.0 | \n\t\t\t1.6 | \n\t\t\t\n\t\t\t | \n\t\t | |
Women milk | \n\t\t\t1 | \n\t\t\t18.2 | \n\t\t\t20.0 | \n\t\t\t73.9 | \n\t\t\t42.5 | \n\t\t\t33.3 | \n\t\t\t15.4 | \n\t\t\t\n\t\t\t | \n\t\t |
2 | \n\t\t\t41.5 | \n\t\t\t72.3 | \n\t\t\t16.3 | \n\t\t\t11.7 | \n\t\t\t22.1 | \n\t\t\t23.1 | \n\t\t\t\n\t\t\t | \n\t\t | |
3 | \n\t\t\t40.3 | \n\t\t\t7.7 | \n\t\t\t9.9 | \n\t\t\t45.8 | \n\t\t\t44.5 | \n\t\t\t61.5 | \n\t\t\t\n\t\t\t | \n\t\t | |
Cow milk | \n\t\t\t1 | \n\t\t\t11 | \n\t\t\t36 | \n\t\t\t15 | \n\t\t\t21 | \n\t\t\t1 | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t |
2 | \n\t\t\t20 | \n\t\t\t33 | \n\t\t\t6 | \n\t\t\t14 | \n\t\t\t3 | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t | |
3 | \n\t\t\t7 | \n\t\t\t10 | \n\t\t\t4 | \n\t\t\t15 | \n\t\t\t<1 | \n\t\t||||
Pig | \n\t\t\t1 | \n\t\t\t1 | \n\t\t\t10 | \n\t\t\t30 | \n\t\t\t51 | \n\t\t\t6 | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t |
2 | \n\t\t\t4 | \n\t\t\t72 | \n\t\t\t2 | \n\t\t\t13 | \n\t\t\t3 | \n\t\t||||
3 | \n\t\t\t\n\t\t\t | \n\t\t\t | 7 | \n\t\t\t73 | \n\t\t\t8 | \n\t\t||||
Cow | \n\t\t\t1 | \n\t\t\t4 | \n\t\t\t41 | \n\t\t\t17 | \n\t\t\t20 | \n\t\t\t4 | \n\t\t\t1 | \n\t\t\t\n\t\t\t | \n\t\t |
2 | \n\t\t\t9 | \n\t\t\t17 | \n\t\t\t9 | \n\t\t\t41 | \n\t\t\t5 | \n\t\t\t1 | \n\t\t\t\n\t\t\t | \n\t\t | |
3 | \n\t\t\t1 | \n\t\t\t22 | \n\t\t\t24 | \n\t\t\t37 | \n\t\t\t5 | \n\t\t\t1 | \n\t\t|||
Cocoa butter | \n\t\t\t1 | \n\t\t\t\n\t\t\t | 34 | \n\t\t\t50 | \n\t\t\t12 | \n\t\t\t1 | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t |
2 | \n\t\t\t\n\t\t\t | 2 | \n\t\t\t2 | \n\t\t\t87 | \n\t\t\t9 | \n\t\t||||
3 | \n\t\t\t\n\t\t\t | 37 | \n\t\t\t53 | \n\t\t\t9 | \n\t\t\t\n\t\t | ||||
Groundnut | \n\t\t\t1 | \n\t\t\t\n\t\t\t | 14 | \n\t\t\t5 | \n\t\t\t59 | \n\t\t\t18 | \n\t\t\t\n\t\t\t | 1 | \n\t\t\t- | \n\t\t
2 | \n\t\t\t\n\t\t\t | 1 | \n\t\t\t<1 | \n\t\t\t58 | \n\t\t\t39 | \n\t\t\t\n\t\t\t | - | \n\t\t\t- | \n\t\t|
3 | \n\t\t\t\n\t\t\t | 11 | \n\t\t\t5 | \n\t\t\t57 | \n\t\t\t10 | \n\t\t\t\n\t\t\t | 4 | \n\t\t\t6 | \n\t\t|
Corn | \n\t\t\t1 | \n\t\t\t\n\t\t\t | 18 | \n\t\t\t3 | \n\t\t\t27 | \n\t\t\t50 | \n\t\t\t1 | \n\t\t\t\n\t\t\t | \n\t\t |
2 | \n\t\t\t\n\t\t\t | 2 | \n\t\t\t<1 | \n\t\t\t26 | \n\t\t\t70 | \n\t\t\t<1 | \n\t\t\t\n\t\t\t | \n\t\t | |
3 | \n\t\t\t\n\t\t\t | 13 | \n\t\t\t3 | \n\t\t\t31 | \n\t\t\t51 | \n\t\t\t1 | \n\t\t|||
Soya | \n\t\t\t1 | \n\t\t\t\n\t\t\t | 14 | \n\t\t\t6 | \n\t\t\t23 | \n\t\t\t48 | \n\t\t\t9 | \n\t\t\t\n\t\t\t | \n\t\t |
2 | \n\t\t\t\n\t\t\t | 1 | \n\t\t\t1 | \n\t\t\t21 | \n\t\t\t70 | \n\t\t\t7 | \n\t\t|||
3 | \n\t\t\t\n\t\t\t | 13 | \n\t\t\t6 | \n\t\t\t28 | \n\t\t\t45 | \n\t\t\t8 | \n\t\t|||
Olive | \n\t\t\t1 | \n\t\t\t\n\t\t\t | 13 | \n\t\t\t3 | \n\t\t\t72 | \n\t\t\t10 | \n\t\t\t<1 | \n\t\t\t\n\t\t\t | \n\t\t |
2 | \n\t\t\t\n\t\t\t | 1 | \n\t\t\t- | \n\t\t\t83 | \n\t\t\t14 | \n\t\t\t1 | \n\t\t|||
3 | \n\t\t\t\n\t\t\t | 7 | \n\t\t\t4 | \n\t\t\t74 | \n\t\t\t5 | \n\t\t\t1 | \n\t\t
Main fatty acid (mol %) distribution in the three positions of glycerine molecule of the corresponding triacylglycerols (triglycerides) of several fats and oils.
Mol % = molar percentage
*Relative GC area % (http://www.cyberlipid.org/index.htm); ** Sørensen A.D.M. et al., 2010 [78]
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
Oil from: | \n\t\t\t\n\t\t | |||||||||||
Groundnut | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t\t | ND-0.1 | \n\t\t\t8.0-14.0 | \n\t\t\t1.0-4.5 | \n\t\t\t35.0-69.0 | \n\t\t\t12.0-43.0 | \n\t\t\t0-0.3 | \n\t\t\t0.7-1.7 | \n\t\t\t200-481 | \n\t\t\t86-107 | \n\t\t
Rapeseed (0 erucic) | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t\t | ND-0.2 | \n\t\t\t2.5-7.0 | \n\t\t\t0.8-3.0 | \n\t\t\t51.0-70.0 | \n\t\t\t15.0-30.0 | \n\t\t\t5.0-14.0 | \n\t\t\t0.1-4.3 | \n\t\t\t320-630 | \n\t\t\t105-126 | \n\t\t
Safflower | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t\t | ND-0.2 | \n\t\t\t5.3-8.0 | \n\t\t\t1.9-2.9 | \n\t\t\t8.4-21.3 | \n\t\t\t67.8-83.2 | \n\t\t\tND-0.1 | \n\t\t\t0.1-0.3 | \n\t\t\t700-740 | \n\t\t\t136-148 | \n\t\t
Safflower (HO) | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t\t | ND-0.2 | \n\t\t\t3.6-6.0 | \n\t\t\t1.5-2.4 | \n\t\t\t70.0-83.7 | \n\t\t\t9.0-19.9 | \n\t\t\tND-0.2 | \n\t\t\t0.1-0.5 | \n\t\t\t175-270 | \n\t\t\t80-100 | \n\t\t
Sunflower | \n\t\t\t\n\t\t\t | \n\t\t\t | ND-0.1 | \n\t\t\tND-0.2 | \n\t\t\t5.0-7.6 | \n\t\t\t2.7-6.5 | \n\t\t\t14.0-39.4 | \n\t\t\t48.3-74.0 | \n\t\t\t0-0.3 | \n\t\t\t0-0.3 | \n\t\t\t531-766 | \n\t\t\t118-141 | \n\t\t
Sunflower (HO) | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t\t | ND-0.1 | \n\t\t\t2.6-5.0 | \n\t\t\t2.9-6.2 | \n\t\t\t70.0-90.7 | \n\t\t\t2.1-20.0 | \n\t\t\tND-3.0 | \n\t\t\t0.1-0.5 | \n\t\t\t118-270 | \n\t\t\t78-90 | \n\t\t
Corn | \n\t\t\t\n\t\t\t | \n\t\t\t | ND-0.3 | \n\t\t\tND-0.3 | \n\t\t\t8.6-14.0 | \n\t\t\tND-3.3 | \n\t\t\t20.0-42.0 | \n\t\t\t34.0-65.6 | \n\t\t\t0-1.2 | \n\t\t\t0.2-0.6 | \n\t\t\t400-481 | \n\t\t\t103-135 | \n\t\t
Olive (CODEX) | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t\t | \n\t\t\t | 7.5-20.0 | \n\t\t\t\n\t\t\t | 55.0-83.0 | \n\t\t\t3.5-21.0 | \n\t\t\tMax 1.0 | \n\t\t\tMax 0.4 | \n\t\t\t163-285 | \n\t\t\t75-94 | \n\t\t
Soya Bean | \n\t\t\t\n\t\t\t | \n\t\t\t | ND-0.1 | \n\t\t\tND-0.2 | \n\t\t\t8.0-13.5 | \n\t\t\t2.5-5.4 | \n\t\t\t17.0-30.0 | \n\t\t\t48.0-59.0 | \n\t\t\t4.5-11.0 | \n\t\t\t0-0.5 | \n\t\t\t600-840 | \n\t\t\t124-139 | \n\t\t
Grape seed | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t\t | ND-0.3 | \n\t\t\t5.5-11.0 | \n\t\t\t3.0-6.5 | \n\t\t\t12.0-28.0 | \n\t\t\t58.0-78.0 | \n\t\t\t0-1.0 | \n\t\t\t0-0.3 | \n\t\t\t596-802 | \n\t\t\t128-150 | \n\t\t
Fat from: | \n\t\t\t\n\t\t | |||||||||||
Cocoa butter | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t\t | \n\t\t\t | 22.6-30.4 | \n\t\t\t30.2-36.0 | \n\t\t\t29.2-36.4 | \n\t\t\t1.3-4.0 | \n\t\t\tND-0.5 | \n\t\t\t\n\t\t\t | 370-380 | \n\t\t\t34-40 | \n\t\t
Coconut | \n\t\t\t4.6-10 | \n\t\t\t5.0-8.0 | \n\t\t\t45.1-53.2 | \n\t\t\t16.8-21.0 | \n\t\t\t7.5-10.2 | \n\t\t\t2.0-4.0 | \n\t\t\t5.0-10.0 | \n\t\t\t1.0-2.5 | \n\t\t\tND-0.2 | \n\t\t\tND-0.2 | \n\t\t\t24-34 | \n\t\t\t6.3-10.6 | \n\t\t
Palm | \n\t\t\t\n\t\t\t | \n\t\t\t | ND-0.5 | \n\t\t\t0.5-2.0 | \n\t\t\t39.3-47.5 | \n\t\t\t3.5-6.0 | \n\t\t\t36.3-44.0 | \n\t\t\t9.0-12.0 | \n\t\t\tND-0.5 | \n\t\t\tND-0.4 | \n\t\t\t130-391 | \n\t\t\t50.0-55.0 | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t\t | \n\t\t\t | 0.1-0.5 | \n\t\t\t0.5-1.5 | \n\t\t\t38.0-43.5 | \n\t\t\t3.5-5.0 | \n\t\t\t39.8-46.0 | \n\t\t\t10.0-13.5 | \n\t\t\tND-0.6 | \n\t\t\tND-04 | \n\t\t\t158-187 | \n\t\t\t56 | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t\t | \n\t\t\t | 0.1-0.5 | \n\t\t\t1.0-2.0 | \n\t\t\t48.0-74.0 | \n\t\t\t3.9-6.0 | \n\t\t\t15.5-36.0 | \n\t\t\t3.0-10.0 | \n\t\t\tND-0.5 | \n\t\t\tND-0.4 | \n\t\t\t76-270 | \n\t\t\t33 | \n\t\t
\n\t\t\t\t | \n\t\t\t2.4-6.2 | \n\t\t\t2.6-5.0 | \n\t\t\t45.0-55.0 | \n\t\t\t14.0-18.0 | \n\t\t\t6.5-10.0 | \n\t\t\t1.0-3.0 | \n\t\t\t12.0-19.0 | \n\t\t\t1.0-3.5 | \n\t\t\tND-0.2 | \n\t\t\tND-0.2 | \n\t\t\t33-51 | \n\t\t\t14.1-21.0 | \n\t\t
Main fatty acid composition of fats and oils
a Total unsaturation is calculated as the relative percentage of single fatty acid for a different factor, for each unsaturation, the degree is proportional to the oxidative instability. The factors utilized were: 1 for monounsaturated, 10 for diunsaturated and 20 for triunsaturated fatty acids. HO =high oleic. ND = not detectable
Not all olive oils have the same concentration of oleic acid. The International Olive Oil Council (IOOC) has dictated that the content of oleic acid in olive oils can vary from 55% to 83% of total fatty acids [81]. The regulations of the European Community do not indicate the amount of oleic acid in olive oil, but simply indicate the specifications of several other parameters that are useful for detecting fraud and require the distinction between various commercial products obtained from olive processing.
Among these, extra virgin oils are those that must have the highest quality. Extra virgin olive oils with the highest content of oleic acid have always been regarded as those with the highest quality, but only because of their higher stability during storage, as a consequence of the low reactivity of oleic acid compared with polyunsaturated fats. The Food and Drug Administration (FDA) has stated (November 1, 2004) that U.S. consumption of 23 g of olive oil each day (about two tablespoons) helps in prevention of cardiovascular diseases [4].
Today, there are other sources of oil high in oleic acid, such as safflower, sunflower and canola (the new name for rapeseed oil low in erucic acid), and therefore based solely on the content of oleic acid, these sources would also be optimal in this regard. However, the reputation of olive oil as a healthy product is most likely due to the presence of the numerous "minor elements" contained within [82, 83]. Among these minor components, several compounds are worthy of mention including biophenols, which consists of phenols and polyphenols with high antioxidant and antiradical activity, some triterpene alcohols, phytosterols, squalene, and tocopherols. These latter are considered important because of the content of vitamin E, and for their ability to facilitate the assimilation of polyunsaturated fatty acids: 1 mg allows the assimilation of 1 g of polyunsaturated fatty acids [84].
The discovery of health effects from the minor components in olive oil has led to a large gap in the nutritional properties of edible oils. In fact, oils from seeds, subject to refining, loose many minor components and do not have the health properties that the corresponding matrix has. The technology for olive processing influences the quality and organoleptic characteristics of the final product, which is not always considered by industrial operators as much of the scientific knowledge is particularly new. The olive oil is encapsulated in small drops (10-30 micrometers) within vacuoles with a polysaccharide wall: oil droplets, during processing, are released in crushing and come into contact with the other components of olives during grinding of the paste. It is the prolonged contact with the oil-pasta that allows joining of small droplets such that they can then leave the dough during the separation process that emulsifies all the minor components in oil.
Therefore, time and temperature of processing can also affect the final product, and even if the starting characteristics of the olives are similar they can yield very different products. Moreover, during the same oil-paste stage, enzyme activities are capable of forming the fragrance of the oil through a series of biochemical steps that, in part, may reduce the antioxidant ability of biophenol components and their effects on health. Therefore, choices made during the processing of olives should take these effects into consideration.
There are several hundred olive cultivars grown in Italy, which can produce many oils that have a very different composition, although all can be considered of excellent quality. In particular, the richness in antioxidants (especially biophenols) can affect characteristics of the oil in terms of taste, storage stability, and health properties. Even if much scientific knowledge has been learned about olive production and processing technology, there are still many questions that must be answered in order to improve the quality, especially those related to health, of the oils obtained by processing olives
The ability to transform, by the action of delta9-desaturase, stearic acid to oleic acid, and vice versa makes oleic acid very useful for the modulation of the fluidity (and functionality) of cell membranes. Recalling that the fatty acid composition of platelets can be correlated with depression and also with ischemia [85], we can consider the oil obtained from olive processing such as the lipid substrate better balanced with respect to the fatty acid unsaturations, for the platelet membrane composition of normal individuals.
We must remember that the presence of high concentrations of oleic acid from olive oil is one of the stabilizing factors against oxidative modification, in both cases, for the oil itself and for cell membranes. Furthermore, the oil from olives when is classified as extra virgin, possesses a wealth of biophenols, powerful antioxidants predominantly of antiradical type, which further increase the stability of the oil and, more or less directly, even of the membrane lipids.
Olive oil, and, particularly an extra virgin olive oil-rich diet, decreases prothrombotic activity, and modify platelet adhesion, coagulation, and fibrinolysis. The wide range of antiatherogenic effects associated with olive oil consumption can help to justify the low rate of cardiovascular mortality found in southern European Mediterranean countries, in comparison with other western countries, despite a high prevalence of CHD risk factors. Experimental evidence confirms a critical role of reduced levels of oleic acid in platelets in ischemic subjects with a diagnostic discriminant capacity from normal subjects [85]. At present, although traditional cardiovascular risk factors are under revision, a new field of research in platelets, and in particular oleic acid and its relationship with linoleic and arachidonic acid, should be pursued. The mechanisms by which olive oil exerts its beneficial effects merit further investigation, and additional studies are required to document the benefits of olive oil consumption on primary endpoints for cardiovascular disease. In this regard, consumption of extra virgin olive oil and daily intake of oleic acid should, however, be promoted.
Rutter, a pioneer of the neurodevelopmental paradigm for autism spectrum disorder (ASD), was referring to the early belief that the etiology of autism was behavioral, induced by “refridgerator” mothers in particular and poor parenting in general. His reference to “poor parenting” was intended as a criticism of theories due to Kanner and Bettelheim, who claimed that bad parenting plays a key role in the etiology of autism. Kanner [2], who identified autism as a separate pathology, observed that few of his 11 patients had warm-hearted parents, and subsequently noted that his patients “were exposed from the beginning to parental coldness, obsessiveness and a mechanical type of attention to material needs only.” Moreover, it is as if they had been “kept in refridgerators which did not defrost.” [3] Bettelheim [4] took this argument further, and attributed autism exclusively to the behavior of parents in general, and to “refridgerator mothers” in particular. Indeed, psychoanalytical theory continues to inform the treatment of ASD in some parts of the world, especially in France, Argentina and South Korea [5].
Kanner eventually took exception to Bettelheim’s position, noting that “at no time have I pointed to parents as the primary post-natal source of pathogenicity.” [6] Subsequently, this developmental psychopathology was discredited following the scandal which broke out after Bettelheim’s death [7, 8] and was abandoned in scientific research. Indeed, behavioral research into autism disappeared altogether.
Rutter was also referring to the dominance of the neurodevelopmental model, pioneered by Rimland [9], in the empirical study of ASD, according to which its etiology is mainly genetic or biological and is also environmental. However, environmental factors exclude parents and what occurs within families, and refer instead to exposure to pollution and related factors that might harm brain development [10].
In the present paper we report empirical results for the recurrence risk of ASD, which are inconsistent with the neurodevelopmental model, and for which behavioral interpretations are suggestive. These results are generated by a natural experiment [11] in which the age at which children with ASD are diagnosed serves to randomize their parents’ state of mind at the time they decided to have further children. Some parents had further children before their previous child was diagnosed with ASD, while other parents had further children after diagnosis. The former parents could not have engaged in reproductive stoppage [12] because they did not know (for sure) that their child had ASD. The latter parents, by contrast, consciously refrained from reproductive stoppage.
The two types of parents are different in other ways too. Parents who could not have engaged in reproductive stoppage raised their next child under a “veil of ignorance”, which lasted until their previous child was diagnosed with ASD. By contrast, parents who refrained from stoppage raised their next child in the “shadow of ASD”, which lasted from when previous children were diagnosed until their younger siblings were born. Neurodevelopmental theory attaches no importance to the veil of ignorance and the shadow of ASD, or whether parents conceived younger siblings before or after their previous children had been diagnosed. Parents under the veil of ignorance might be less stressed than other parents. On the other hand, parents in the shadow of ASD gained experience in raising children with ASD. If recurrence risk depends empirically on the durations of the veil of ignorance and the shadow of ASD, this begs a behavioral interpretation in which stressed parents may be more likely to raise children with recurrence risk, when experienced parents are less likely.
The main hypothesis of interest is whether recurrence risk of ASD depends on phenomena such as the veil of ignorance and the shadow of ASD. Since recurrence risk is only observed if parents do not engage in reproductive stoppage, these phenomena are to some degree self-selected. If so, their causal effect on recurrence risk would not be identified. To establish causality an auxiliary hypothesis is proposed in which reproductive stoppage depends on when elder siblings are diagnosed with ASD. If the latter is independent of recurrence risk, it serves to randomize the veil of ignorance and the shadow of ASD, which are related to reproductive stoppage, and thereby identify their causal effects on recurrence risk.
We use population cohort data for Israel to study reproductive stoppage and to show that the risk of ASD recurrence among younger siblings of children diagnosed with ASD depends causally on the durations of the veil of ignorance and the shadow of ASD.
Let
The latent variable model for the general population may be written as:
where β is a vector of parameters to be estimated. Let Cit denote a zero–one dummy variable, which equals 1 if parents conceive their next child when their previous child is aged t. This event occurs when
Conception timing of younger siblings.
Eq. (1) applies to the general population, which we adapt for parents of children with ASD. We introduce two new unobservable phenomena in addition to c and g, which apply specifically to parents of ASD children. When their index child is born, parents are unaware that they are no longer part of the general population. However, they gradually realize that their child has developmental difficulties, denoted by d(t), which varies directly with age (t). Even before their child is diagnosed with ASD, they might consider reproductive stoppage. Parents also vary by their resilience [14], or their ability to cope with crises denoted by r, which may be positive or negative. We add to Eq. (1) ri –di(t), which may be positive for resilient parents.
Schedule B in Figure 1 refers to parents of ASD children. At first, it is congruent with schedule A, but after their child is aged t1, at which parents begin to worry about their child’s developmental problems, it lies below schedule A, where the vertical difference between the schedules equals r – d(t). This distance naturally increases with t. In Figure 1 schedule B becomes positive at t2, so the parents of children with developmental difficulties will tend to delay conception relative to the general population. Of course, schedule B might never become positive, in which case parents engage in reproductive stoppage.
Suppose that the child is diagnosed with ASD when he or she is aged t3. This would induce a discontinuous increase in d, which lowers schedule B as in schedule B′. The parents depicted in schedule B, who conceived when their child was aged t2, regret their decision. However, it is too late and they could not have known. Matters would have been different had their child been diagnosed prior to t2. Note that if parents are sufficiently resilient and their desire for children is sufficiently strong, schedule B′ may lie above schedule B, in which case parents conceive further children despite the ASD status of their child. We refer to this by “informed” non-stoppage, and the solution at t2 by “uninformed” non-stoppage.
This theory implies that observationally similar parents (with the same X) in the general population will have different probabilities of natural stoppage. It also implies that observationally similar ASD parents will have larger probabilities of reproductive stoppage than in the general population. Finally, it implies that observationally similar parents of ASD children have different probabilities of non-stoppage because they differ by their resilience (r), their desire for children (c), their reaction to developmental difficulties and to diagnoses of ASD (d). It also means that observationally similar parents in the general population cannot be compared with the parents of ASD children, because β in the general population may differ, and because r and d do not apply to the general population. Finally, the probability of non-stoppage varies directly with the age at which ASD is diagnosed, and informed non-stoppage is less probable than uninformed non-stoppage.
In summary, the probability of non-stoppage is predicted to depend through β upon the observable covariates (X) including age at diagnosis. Eq. (1) is estimated using data for families with ASD children only; data for the general population are not used.
Suppose A and B are two observationally similar families. Their first children have ASD, and their second children were born three years afterwards. The only difference is that ASD was diagnosed in family A at 2 years and in family B at 8 years. This gives rise to three differences between families A and B. First, when family A decided to have their second child, they already knew about the ASD status of their first child. They decided against reproductive stoppage in having their second child. Matters are obviously different in family B; they had their second child without knowing about the ASD status of their first child. Second, the younger sibling in family A was raised in the ‘shadow of ASD’. His parents had a year’s experience raising a child with ASD before their second child was born. Family B obviously had no such experience before their second child was born. Third, the second child in family B was raised until 5 years under a ‘veil of ignorance’, which ended when his elder sibling was diagnosed. During the veil of ignorance family B might have been concerned about developmental delays in their child, but they did not know for sure that their child would eventually be diagnosed with ASD. In family A the veil of ignorance is zero and the shadow of ASD is a year. In family B the veil of ignorance is 5 years and the shadow of ASD is zero.
According to the neurodevelopmental paradigm of ASD, recurrence risk should be the same for families A and B, because parents’ knowledge about the ASD status of their index children plays no role in the neurodevelopmental model. Neuro-developmentalists might argue, however, that family A was more genetically predisposed to ASD recurrence than family B. Family A’s child was diagnosed sooner because his ASD were more severe than B’s. That is why A’s child was diagnosed more quickly. This argument would predict that recurrence risk should be greater in family A than in family B. Suppose, however, that their recurrence risk differs, and that recurrence risk in B- type families is greater than in A-type families. We suggest three behavioral reasons why this might arise. First, family A is positively self-selected because it decided against stoppage. Parents in family A decided to go ahead despite the risk, either because they were more resilient and self-confident of coping with this risk, or because they suspected that the risk of recurrence is relatively low in their family. Either way, this reduces recurrence risk in family A relative to family B. Second, family B had five years to raise its second child under the veil of ignorance, whereas family A raised its second child entirely in the shadow of ASD. If knowledge of ASD empowers family A to mitigate the risk of recurrence, this would further reduce recurrence risk in A-type families relative to B-type families. On the other hand, if knowledge imperils rather than empowers, A-type families who are fearful of ASD might raise their second child less successfully relative to B-type families who are unaware of ASD. This might increase recurrence risk in A-type families relative to B-type families.
The empower-imperil dichotomy is related to self-fulfilling and self-defeating theories in social psychology [15], dating back to Thomas’ Theorem [16]. Family A’s knowledge of ASD may become a self-fulfilling expectation if parents believe and fear that ASD will recur in their younger child. If, instead, family A uses its knowledge and experience with ASD to mitigate recurrence risk, the expectation of ASD is self-defeating. During the veil of ignorance, family B has no knowledge of ASD. If knowledge empowers, recurrence risk among B-type families is expected to vary directly with the veil of ignorance. The converse is expected if knowledge imperils.
Two empirical methodologies are considered for estimating β in Eq. (1). If r + c – d - g = u is assumed to have a logistical distribution, β may be estimated by logit using data for C. For informed non-stoppage, the relevant population consists of parents who conceived further children after the date of diagnosis of their index child. For uninformed non-stoppage, the relevant population consists of parents who conceived further children before this date of diagnosis. These two populations may be combined by controlling for the age of diagnosis of the index child. Parents are less likely to have further children if their index child is diagnosed sooner rather than later.
The second methodology is based on survival analysis focusing on the age of the index child when and if parents conceived their next child. Specifically, a Cox proportional hazards model may be estimated for these purposes. The second methodology [17, 18] is more ambitious than the first [19], because it professes to explain the timing of conception or birth and not merely whether stoppage occurred or not. We prefer the first method to the second because more ambitious methods are generally less robust. For example, Hoffmann et al. [17] assume that birth hazards are strictly proportional to all the covariates in their model, even though this assumption is not essential for testing hypotheses about non-stoppage. They also compare parents of ASD children with parents in the general population, a between-group comparison, instead a within-group comparison in which the parents of ASD children who had further children are compared with parents who had no further children.
Because the data used in the present study end in December 2012, fertility is right-censored; parents of index children who had no further children by December 2012 might have had children subsequently. Hence, censoring artificially increases stoppage even controlling for age of mothers in December 2012. If mothers’ age in December 2012 exceeds 45 years, fertility is ascertained and is not censored. A radical solution to the censoring problem would be to ignore diagnoses made after 2004 under the assumption, for example, that parents must have stopped if younger siblings are not born within 8 years. An alternative solution, which avoids discarding data, is to assume that the probability of censoring varies inversely with mothers’ age in December 2012. Since this probability is likely to vary nonlinearly with age in December 2012, we estimate this censoring effect as a spline ([13], p. 199). We also use splines to estimate other potentially nonlinear time related variables, such as mothers’ age and the age at diagnosis of index children.
If C equals one (non-stoppage), the number of children may be larger or smaller. Just as observationally similar families might stop or not depending on what is not observed (u), so might they choose to have different numbers of children if they do not stop absolutely. Since the number of younger siblings of index children has the character of count data, which take discrete but limited values such as 0, 1, 2, etc. we suggest the use of count data methods [20] to test hypotheses about relative stoppage in which the dependent variable is Ci = 0, 1, 2, etc. Specifically, we use “zero-inflated” Poisson regression (ZIP) where the probability of absolute stoppage (C = 0) is enlarged according to a complementary log log (CLL) model for the probability of absolute stoppage, and where u is assumed to have a Poisson distribution ([13], p 861; [21]). ZIP embodies the intuition that to have any further children is a harder decision than to have more or fewer further children. This specification combines absolute and relative stoppage, where the former is expressed through zero inflation, and the latter by count data regression.
According to ZIP, the probability of having no further children is:
where λ denotes the CLL probability of having no further children, X are covariates in the CLL model, exp.(−μ) is the Poisson probability of having no further children, and Z are covariates in the Poisson model. Since P(0) is the probability of absolute stoppage, it varies directly with λ and inversely with μ. CLL is a nonlinear transform of the logit model since exp.(Xγ) equals the log odds ratio.
Relative stoppage occurs when parents who refrain from stoppage have fewer further children. The ZIP probability of having positive numbers of children (C > 0) is:
Suppose for family i the CLL and Poisson probabilities of absolute stoppage are 0.305 (= λ) and 0.223 (= exp.(−μ)) respectively so that the probability of absolute stoppage, P(0), is 0.46 (as in our data). These probabilities imply that μ = 1.5, i.e. family i is expected to have 1.5 further children. The ZIP probability of having one further child is 0.232 and having two further children is 0.174. Hence, ZIP has inflated the probability of having no further children from 0.223 to 0.46, and it has deflated the Poisson probability of having positive numbers of further children by a factor of 1 - λ.
The expected value of the number of further children given that it is positive equals:
which varies directly with μ and does not depend on λ. In summary, absolute stoppage varies directly with λ and inversely with μ, and relative stoppage varies inversely with μ.
As in Sandin et al. [22] and Beenstock et al. [23], we use population cohort data to estimate logit models for ASD recurrence in which the covariates include standard variables, such as the ages of parents and their ethnicity. We supplement these variables by three additional variables. The first is a dummv variable (‘informed’) that equals 1 if the younger siblings of index children were conceived or born after the index child was diagnosed, and zero otherwise. If parents who refrain from reproductive stoppage are positively selected, the coefficient of ‘informed’ is expected to be negative (smaller recurrence risk). If they are negatively selected, the coefficient is expected to be positive. According to the neurodevelopmental model, the coefficient is expected to be zero.
The second variable is the duration of the veil of ignorance, which is measured by the age of younger siblings when index children were diagnosed. The veil of ignorance is zero, of course, if ‘informed’ = 1. If knowledge imperils, recurrence risk is expected to vary inversely with the veil of ignorance; ignorance is bliss. According to the neurodevelopmental model, the coefficient on the veil of ignorance is expected to be zero.
The third variable is the duration of the shadow of ASD, which is measured by the date of birth of younger siblings minus the data of diagnosis of the index child. If knowledge empowers, experience in raising children with ASD may help parents raise their further child more effectively, in which case recurrence risk is expected to vary inversely with the shadow of ASD. If, instead, knowledge imperils, recurrence risk is expected to vary directly with the shadow of ASD. Knowledge is expected to imperil when parents who refrain from stoppage are negatively selected. According to the neurodevelopmental model, the coefficient on the shadow of ASD is expected to be zero.
If parents who refrained from stoppage are negatively selected, it might be expected that for them knowledge imperils, in which case recurrence risk would vary directly with the shadow of ASD. If, instead, they are positively selected, their knowledge might be expected to empower them to mitigate the risks of ASD recurrence. Therefore, estimates of the coefficients on ‘informed’ and the shadow of ASD are unlikely to be independent.
The study of recurrence risk has typically focused on immediate younger siblings. In the present study, we also attach importance to higher order siblings. ASD may not recur among immediate younger siblings, but it may recur among higher order siblings. Inevitably, estimates of recurrence risk and its determinants, may be biased if the incidence of ASD recurrence among higher order siblings is ignored. This bias will be smaller in countries where fertility is low. The bias would be zero if parents limited their fertility to two children. Matters are different in our empirical application for Israel where fertility is high. In our study, families supply more than one observation for estimating recurrence risk. For example, a family with 8 children supplies 7 observations if their firstborn is diagnosed with ASD.
The use of data for all younger siblings raises two statistical concerns. First, the outcomes of younger siblings from the same family are unlikely to be independent; they certainly cannot be treated as the independent outcomes of younger siblings from different families. They share the same parents, the same index child, and they share each other. Consequently, we cluster standard errors of parameter estimates by family ([13], p. 586). Second, we estimate family specific effects that capture familial phenomena that might induce recurrence risk ([13], chapters 11 and 17). These phenomena may be neurodevelopmental or genetic, but they may also be behavioral. Whereas clustering picks up interactions between siblings, specific effects pick up patterns related to families.
Another difference is that, as in the case of Eq. (1), we use censoring methods instead of discarding observations, which are potentially censored. Our data are obtained from administrative records in Israel up to December 2012. Younger siblings born, for example, in 2009 might not have been diagnosed with ASD by December 2012. However, their contribution to recurrence risk estimates is censored since they might have been diagnosed with ASD in 2013 and beyond. Some investigators assume that it takes 8 years for ASDs to be diagnosed [24], and would exclude younger siblings born after 2003. This radical solution to censoring typically discards many observations. In any case, we show below that 8 years is not long enough. Instead of discarding data, we assume that the probability of censoring varies inversely with younger siblings’ age in December 2012. Siblings who were teenagers in December 2012 are uncensored.
Apart from censoring there are several covariates that are related to time, e.g., the age of mothers when their index child was born, age at diagnosis of index children, year of diagnosis, veil of ignorance and shadow of ASD. These time-related variables are not expected to have linear effects. For example, mothers’ fecundity at age 40 is naturally smaller than at age 30. Also, the probability of censoring is expected to vary nonlinearly with the age of younger siblings in December 2012. Therefore, we estimate these relationships as splines ([13], p. 199).
The study group comprises the younger siblings of children diagnosed with ASD in Israel during 1984 to 2012. The outcome of interest is whether ASD recurred among these younger siblings. Since 1981, families of children diagnosed with ASD have been eligible for benefit from Israel’s National Insurance Institute (NII). Applications for benefit are processed rapidly (within about two months) and benefits are back-dated to the date of diagnosis, provided the application was lodged within 12 months of diagnosis. Consequently, the date of diagnosis is recorded. These data have been matched using the Population Registry and personal id numbers to the parents (and step parents) and siblings (and half siblings) of the children diagnosed with ASD. Dates of conception are approximated by dates of birth minus 9 months. Hence, we are able to determine whether index children were diagnosed before the conception of their younger siblings, during their pregnancy, or after their birth.
Details regarding administrative data sources, diagnostic criteria, the study population, as well as data tabulations etc. may be found in Beenstock, Levine and Raz [23], who used these data in a previous study. The study population comprises 9572 cases of ASD diagnosed during 1984 and 2012, involving 9117 families. Hence, there are 455 cases of recurrence risk. However, in 88 recurrences younger siblings were diagnosed before their older siblings, leaving 367 recurrences according to birth order. Judging by the proximity in diagnoses of these 88 cases, we suspect that attention was drawn to elder siblings once their younger siblings were diagnosed. Since almost all cases of ASD in Israel are known to NII [25], these data constitute population cohort data, which in contrast to survey data and clinical samples, are likely to be free of sample selectivity.
Table 1 shows that 4219 parents of children with ASD had no further children by December 2012. However, many families had several further children, reflecting the high rate of fertility in Israel. The same applies to the birth orders of index children, of which 4076 were firstborns. In many families, however, index children are not firstborns. Indeed, Table 1 shows that ASD may suddenly occur after the birth of several children. These data may be unique in enabling the estimation of birth order effects on stoppage and related phenomena. Finally, Table 1 reports years in which the diagnoses were made, and the number of cases for population subgroups, of which ultra-orthodox Jews account for 12 percent of the population, and non-Jews (mainly Arabs) who account for 20 percent of the population. See Raz et al. [25] for further discussion of the incidence of ASD among these sub-groups.
Number diagnosed | 9572 |
Number of families | 9117 |
Number of younger siblings | |
0 | 4219 |
1 | 2974 |
2 | 1222 |
3 | 378 |
4 | 151 |
5 | 91 |
6 | 33 |
7 | 28 |
8+ | 21 |
Index Year of Diagnosis | |
1989–1995 | 217 |
1996–2001 | 1622 |
2002–2006 | 2534 |
2007–2012 | 4744 |
Index Birth Order | |
1 | 4076 |
2 | 2588 |
3 | 1336 |
4 | 563 |
5 | 265 |
6 | 131 |
7 | 66 |
8 | 30 |
9 | 23 |
10 | 18 |
11+ | 21 |
Ethnicity | |
Jews | 8539 |
Ultra-orthodox Jews | 935 |
Non-Jews | 500 |
Mixed-marriages | 28 |
Study group characteristics.
The age at which autism spectrum disorders (ASD) are diagnosed has a wide variance. Some children are diagnosed quickly, before they are 3 years old, while others are diagnosed in their teens. Figure 2 shows that in Israel although 40 percent were diagnosed by the age of four, the age distribution has a long tail, and more than 10 percent were diagnosed after they were ten years old. This means that many parents raised the younger siblings of children who are eventually diagnosed with ASD without being aware of the ASD status of the latter. It also means that many parents did not engage in reproductive stoppage because they were unaware of the ASD status of their index child when their subsequent children were conceived or born. Figure 2 also shows that initially girls are diagnosed more quickly than boys.
The age distribution of ASD diagnoses in Israel.
The first column of Table 2 refers to the proportion of parents who refrained from stoppage by ethnicity and year of diagnosis. The second and third columns refer to the proportions of children whose parents were informed or not when they were born and conceived. Note that because parents who refrained from stoppage had several further children (Table 1), they might have been informed for some of these children, especially higher order siblings, and uniformed for others, especially immediate siblings.
No-Stoppage | Total | Informed | Uninformed | |
---|---|---|---|---|
All | 54% | |||
Jews | 4618 | 54% | 2690 | 2818 |
Non-Jew + Half | 280 | 53% | 174 | 179 |
Ultra-Orthodox | 706 | 76% | 466 | 528 |
Not Ultra-Orthodox | 4192 | 52% | 2398 | 2469 |
Year of diagnosis | ||||
1989–1995 | 124 | 96 | 56 | |
1996–2001 | 1019 | 815 | 436 | |
2002–2006 | 1428 | 1016 | 741 | |
2007–2012 | 2327 | 937 | 1764 |
Non-stoppage: Informed and uninformed.
Figure 3 plots the distribution of the duration of the veil of ignorance for uninformed parents. It has a mode at 2.5 years with a long right-hand tail. For some, the veil of ignorance exceeds ten years. During this period, parents raised their further children without knowing that their index child would eventually be diagnosed with ASD.
The distribution of the veil of ignorance.
Figure 4 plots the distribution of the shadow of ASD. It has a mode of a year and long right-hand tail. Some parents reared their children with ASD for as long as ten years and more before their younger siblings were born. Indeed, there is much similarity between the distribution of the shadow of ASD in Figure 4 and the veil of ignorance in Figure 3. Both distributions have natural minima at zero, and do not overlap. If the veil of ignorance is zero, the shadow of ASD must be positive. If the shadow of ASD is zero, the veil of ignorance must be positive by definition.
The distribution of the shadow of ASD.
Rates of recurrence risk are reported in Table 3. Overall recurrence risk is 4.53 percent. However, for diagnoses of index children made prior to 2000 recurrence risk was lower (3.8%). Recurrence risk among the ultra-orthodox is smaller (3.2%) because (as explained below) their fertility is higher. Recurrence risk also depends on gender mixes. The largest risk (8.62%) occurs when the index is a girl and her younger sibling is a boy. The smallest risk (1.85%) occurs when the index is a boy and his younger sibling is a girl.
Recurrence Risk | |
---|---|
All | 0.0453 |
Before 2000 | 0.0380 |
Ultra-orthodox | 0.0320 |
Boy - boy | 0.0642 |
Girl –girl | 0.0321 |
Girl - boy | 0.0862 |
Boy- girl | 0.0185 |
Informed | 0.0367 |
Informed – from conception | 0.0350 |
Uninformed | 0.0476 |
Uniformed – from conception | 0.0468 |
Veil of Ignorance | |
< 1.25 years | 0.0669 |
1.25–3.5 years | 0.0572 |
> 3.5 years | 0.0447 |
Shadow of ASD | |
< 1.32 years | 0.0439 |
1.32–3.33 years | 0.0572 |
> 3.33 years | 0.0278 |
Rates of recurrence risk.
Recurrence risk is a percentage point larger if parents are uninformed. For example, using conception as a reference point, recurrence risk for the informed is 3.5% and for the uninformed it is 4.68%, which seems to suggest that knowledge empowers more than it imperils. Recurrence risk also appears to vary inversely with the veil of ignorance, and perhaps to vary inversely with the shadow of ASD. The former appears to suggest that ignorance is bliss, and the latter appears to suggest that experience in raising children with ASD helps parents mitigate recurrence risk.
The results in Table 4 refer to the probability of parents of children with ASD having further children (non-stoppage) by the end of the study period in December 2012. Model 1 refers to all parents regardless of being informed or not. It shows that non-Jews (Arabs) and ultra-orthodox Jews are more likely to engage in non-stoppage than Jews in general, while mixed couples (Jews and Arabs) behave similarly to Jews in general. A number of variables capture the effect of target family size. Non-stoppage varies inversely with the birth order of the index child. If the index child has a twin, the probability of non-stoppage decreases by more than what is implied by birth order. Several studies have shown that there is male preference in Israel [26, 27]; parents are more likely to have further children if their children are all girls. Table 4 suggests that male preference does not apply to ASD families. Finally, the presence of other disabled siblings in the family increases stoppage, but this effect is not statistically significant.
1 Informed + Uniformed | 2 Informed from birth | 3 Uninformed from birth | 4 Uninformed from conception | |||||
---|---|---|---|---|---|---|---|---|
OR | P-value | OR | P-value | OR | P-value | OR | P-value | |
Intercept | 8.5079 | 0.0380 | 0.5022 | <0.0001 | 0.2999 | 0.2987 | 0.6654 | 0.6901 |
Mixed | 0.5434 | 0.1742 | 0.4403 | 0.1190 | 0.5861 | 0.3036 | 0.7826 | 0.5832 |
Non-Jew | 1.4855 | 0.0007 | 1.3376 | 0.0107 | 1.6157 | 0.0001 | 1.5044 | 0.0004 |
Ultra-Orthodox | 4.4353 | <0.0001 | 2.5784 | <0.0001 | 3.6689 | <0.0001 | 3.9408 | <0.0001 |
Twins | 0.3482 | <0.0001 | 0.6697 | 0.0007 | 0.2470 | <0.0001 | 0.2456 | <0.0001 |
Index birth order | 0.7557 | <0.0001 | 0.8333 | <0.0001 | 0.8525 | <0.0001 | 0.8176 | <0.0001 |
Disabled sibling | 0.7791 | 0.1420 | 0.9239 | 0.6515 | 0.8296 | 0.3430 | 0.8593 | 0.3987 |
No males | 1.0261 | 0.7550 | 1.0280 | 0.7238 | 1.0076 | 0.9329 | 1.0523 | 0.5370 |
year of diagnosis | 0.9156 | 0.1567 | 1.0165 | 0.8142 | 1.0060 | 0.9228 | ||
Mother age at birth of index | Spline - | 0.0308 | Spline - | <0.0001 | Spline - | <0.0001 | Spline - | <0.0001 |
Mother age in 2012 | Spline + | <0.0001 | Spline + | < 0.0001 | Spline + | 0.0217 | Spline + | 0.0126 |
Age at diagnosis | Spline + | < 0.0001 | Spline + | <0.0001 | Spline + | < 0.0001 | ||
Log likelihood | −4929.6 | −4886.6 | −4053.7 | −4722.3 | ||||
Observations | 9087 | 9087 | 9087 | 9087 |
Logit models for absolute non-stoppage.
Note: OR odd ratio. Direction of splines indicated by +/−.
Several time-dependent variables in Table 4 have been estimated by splines, all of which are statistically significant. The direction of their effects are indicated by +/− signs in Table 4. For example, older mothers are less likely to engage in non-stoppage. Mothers who were older in 2012 were more like to have not stopped, implying that the fertility of younger mothers in December 2012 is right-censored, as expected. Finally, the probability of non-stoppage varies directly with age of diagnosis, implying that ignorance about the ASD status of their children reduces the probability of stoppage.
Models 2 and 3 decompose the non-stoppage models for informed (at birth) and uninformed parents. Models 2 and 3 refer to the probability of informed and uninformed stoppage respectively in the population as a whole. The covariates that are statistically significant (or not) in Model 1 are also statistically significant in Models 2 and 3. However, their odds-ratio coefficients are different. On the whole, their deviations from unity are larger for the uninformed than the informed. For example, the OR coefficient for non-Jews is 1.62 in Model 3 and 1.34 in Model 2, and the coefficients for twins are 0.67 and 0.25 respectively. Age at diagnosis is omitted from Model 2 because it is not relevant for informed parents, but it is extremely statistically significant in Model 3. This effect ranges between −2 at two years to 1.8 at five years and 2 at ten years. Therefore, the size effect of age at diagnosis on the odds ratio for stoppage is large and negative, especially over the range of 2–5 years.
Model 4 refers to uninformed parents according to age at conception rather than age at birth. The OR coefficients in Model 4 should therefore be compared with their counterparts in Model 3. On the whole, the OR coefficients are similar in terms of their p-values and their size effects. However, because these estimates are precise, the differences between them are statistically significant.
In Table 5 we use the results in Table 4 to calculate the probability of non-stoppage for observationally similar families, which differ by the age at which their index child was diagnosed. According to Model 1, the probability of non-stoppage varies directly with age at diagnosis, as expected. The probability of non-stoppage increases from 0.45 when age at diagnosis is 2.5 years to 0.63 at 7 years. For uninformed parents at birth (Model 3) these probabilities are initially much smaller (0.19 instead of 0.45) but are slightly larger at 7 years (0.66 instead of 0.63). For uninformed parents at conception the probabilities of non-stoppage are larger as expected. Model 2 does not feature in Table 5 because for informed parents age at diagnosis does not matter.
Age at diagnosis | Model 1 | Model 3 | Model 4 |
---|---|---|---|
2.5 | 0.45 | 0.19 | 0.29 |
5 | 0.55 | 0.62 | 0.73 |
7 | 0.63 | 0.66 | 0.77 |
Non-stoppage and age at diagnosis.
Notes: Jews excluding ultra-orthodox, dummies = 0, year of diagnosis 2010, mother age = 30. Model numbers refer to Table 4.
We use the zero-inflated Poisson model to distinguish between absolute and relative stoppage. As in Table 4, we compare families with ASD children who stopped or not, and who had more or fewer further children if they did not stop. The first column in Table 6 refers to the complementary log log (CLL) component of the ZIP model in which λ refers here to the probability of non-stoppage, and the covariates refer to the X variables hypothesized to affect the logit probability of engaging in absolute non- stoppage, i.e. the probability of having further children after the index child. For example, Non-Jews and ultra-orthodox Jews are more likely to engage in absolute non-stoppage (less likely to engage in absolute stoppage). The second column refers to the Poisson probability (μ) of having 0, 1, 2, etc. further children after the index child, and the covariates refer to the Z variables hypothesized to affect the number of further children. For example, the ultra-orthodox are likely to have exp.(0.8299) = 2.3 further children more than other parents. This means that the ultra-orthodox are less likely to engage in absolute stoppage and less likely to engage in relative stoppage.
CLL model | Poisson model | |||
---|---|---|---|---|
Estimate | p-value | Estimate | p-value | |
Intercept | −0.7409 | <0.0001 | 0.0378 | 0.2791 |
Non-Jew | 0.3889 | <0.0001 | −0.4153 | 0.1892 |
Mixed | 0.2787 | 0.0001 | ||
Ultra- orthodox | 0.9184 | <0.0001 | 0.8299 | <0.0001 |
Twins | −0.1186 | 0.2450 | −0.7496 | <0.0001 |
Birth order | 0.0800 | <0.0001 | −0.2051 | <0.0001 |
Disability | −0.0778 | 0.4457 | −0.1729 | 0.1325 |
Mother age | Spline - | <0.0001 | Spline - | <0.0001 |
Age at diagnosis | Spline + | 0.0084 | Spline + | <0.0001 |
Mother age 2012 | Spline + | <0.0001 | Spline + | <0.0001 |
Observations | 9087 | |||
Log likelihood | −9664 |
Zero-inflated Poisson model for absolute and relative stoppage.
In Table 6 the X and Z covariates for Eq. (2) are almost identical. Covariates that are statistically significant, carry the same signs in the CLL and Poisson models (non-Jews, ultra-orthodox, age of mother, age at diagnosis). An exception is birth order of the index child, which reduces absolute stoppage, but increases relative stoppage. This means, for example, that parents of second children diagnosed with ASD are more likely to stop than parents of firstborns, but the former are likely to have more further children than the latter. Another exception is twins, which increases absolute stoppage but does not significantly affect relative stoppage.
Age at diagnosis is specified in the CLL and Poisson models as is appropriate. The former implies, as in Table 4, that the probability of absolute non-stoppage varies directly with age at diagnosis. The latter implies that the probability of having more than one subsequent child also varies directly with age at diagnosis. Hence, both absolute and relative non-stoppage vary directly with age at diagnosis.
In Table 7, we use the results in Table 6 to calculate the effect of age at diagnosis on the probabilities of absolute and relative non-stoppage, where the former refers to the probability of non-stoppage, and the latter refers to the expected value of the number of further children. As expected, both outcomes vary directly with age at diagnosis. The probability of absolute non-stoppage increases from 0.48 when the age at diagnosis is 2.5 years to 0.61 when the age at diagnosis is 10 years, and relative non-stoppage as measured by the expected value of the additional number of children increases from 0.37 to 0.7. Recall that the latter is defined by the probability of having one further child multiplied by one plus the probability of having a second further child multiplied by two etc. Hence, the expected number of children are weighted probabilities, which may be fractions as in Table 7.
Our main results are reported in Table 8 where Models 1 and 2 are logit models for the probability of recurrence risk with common effects and random effects specifications. The latter hypothesizes that individual families have different recurrence risks, whereas the former hypothesizes that different families share common recurrence risks, but recurrence risk for siblings from the same family are correlated. Hence, for Model 1 parameter standard errors are clustered. On the whole, clustered standard errors are smaller than their unclustered counterparts, suggesting that siblings are negatively correlated within families as far as recurrence risk is concerned. This means that ordinary standard errors under-estimate the significance levels of the results. The reported p-values refer to the clustered standard errors for model 1. Since the results of the two models are similar, we focus here on Model 1.
Model | 1 Common Effects | 2 Random Effects | |||
---|---|---|---|---|---|
Odds Ratio | SD-cluster | P-value (clustered) | Odds Ratio | P-value | |
Intercept | 0.1706 | 0.1661 | < 0.0001 | 0.1693 | <0.0001 |
Female sibling | 0.2851 | 0.1274 | < 0.0001 | 0.2847 | <0.0001 |
Birth order after index | 0.8344 | 0.0704 | 0.0102 | 0.8374 | 0.0226 |
Index birth order | 0.9244 | 0.0488 | 0.1077 | 0.9251 | 0.0999 |
Birth gap < 2 | 1.4297 | 0.1363 | 0.0087 | 1.4350 | 0.0090 |
Female index | 1.6112 | 0.1324 | 0.0003 | 1.6094 | 0.0003 |
Mother disability | 1.6995 | 0.2273 | 0.0196 | 1.7016 | 0.0217 |
Ultra-Orthodox | 0.7682 | 0.1674 | 0.1153 | 0.7675 | 0.1058 |
Non-Jew | 0.2294 | 0.4222 | 0.0005 | 0.2294 | 0.0005 |
Censor | Spline + | <0.0001 | Spline + | 0.0024 | |
Observations | 8164 | 8164 | |||
Log likelihood | −1376 | −24864 |
Logit model for recurrence risk: Informed at birth.
Because most of the variables in Table 8 were featured in a previous study [23], we focus here on the three new parental variables, which are highlighted in italics. The results of the previous study focused on birth gaps and birth orders of index children and their younger siblings. We reconfirm that short birth gaps (less than 2 years) increase recurrence risk, that recurrence risk varies inversely with the birth orders of younger siblings and the birth orders of index children. Also, recurrence risk is smaller in the non-Jewish population, varies directly with mothers’ disability, and younger siblings are censored, as expected, with the probability of censoring tending to zero at 9 years of age. We found no evidence that recurrence risk varies with mothers’ age (when her index child was born), nor could we detect a time trend in recurrence risk that might have reflected the positive time trend in the incidence of ASD in the general population [25].
We turn now to the three highlighted behavioral variables in Table 8. ‘Informed’ is a dummy variable, which equals 1 if index children were diagnosed before their younger siblings were born and is zero otherwise. The relative risk of ASD recurrence when parents are informed is reduced by slightly more than 30 percent. This effect is statistically significant and its p-value is 0.0053. ‘Shadow of ASD’ refers to the experience (in years) that informed parents had in raising their children with ASD before their younger siblings were born. The estimated coefficient implies that the relative risk of recurrence decreases by approximately 7 percent for each additional year of experience. This effect is very statistically significant since its p-value is almost zero. Finally, ‘veil of ignorance’ refers to the period of time (in years) during which uninformed parents raised the younger siblings of index children before the latter were diagnosed. The estimated coefficient implies that the relative risk of recurrence decreases by about 15 percent for each year of ignorance. This effect is very statistically significant too. Indeed, a likelihood ratio test overwhelming supports the retention of all three variables. However, their inclusion does not significantly affect the parameter estimates of the other variables in Table 8.
As mentioned, results for Model 2 are similar to those for Model 1, suggesting that Model 1 is robust with respect to random effects. Family random effects are hypothesized to be normally distributed with mean normalized to zero. The standard deviation of these effects is estimated at 0.588, which implies that recurrence risk for families at the lower 95 percentile is 1.47 percent, and it is 13 percent at the upper percentile. Mean recurrence risk is 4.5 percent. The asymmetry stems from the fact that the standard deviation refers to the log odds ratio. These results suggest that recurrence risk differs widely among families. Figure 5, which plots family specific effects expressed as odd ratios, suggests that there are two types of family. The first group has odds ratios that are slightly less than 1, while the second group, which is smaller, has odds ratios that are about 1.3.
Distribution of family specific odds ratios.
In Figure 6 we plot the relationship, implied by Table 8, between recurrence risk (on the vertical axis) and the difference between the birth dates of younger siblings and the dates at which index children were diagnosed (on the horizontal axis). Parents are ‘informed’ if this difference is positive because younger siblings were born (or conceived) after their index siblings were diagnosed. If this difference is negative, parents were ‘uninformed’. Therefore, the shadow of ASD increases to the right of 0 on the horizontal axis, and the veil of ignorance increases to the left. The baseline for recurrence risk is 4.5 percent as in the data because logit models replicate sample means. Notice that the origin for the shadow of ASD is 2.91 percent because informed parents have lower odds ratios according to Table 8. Figure 6 shows that recurrence risk varies directly with the gap between dates of birth and dates of diagnosis. Figure 6 also shows that recurrence risk varies inversely with the shadow of ASD and the veil of ignorance. At one year, the veil of ignorance reduces recurrence risk from 4.5 percent to 3.87 percent and to 2.03 percent after 5 years. At one year, the shadow of ASD reduces recurrence risk from 4.5 percent to 2.71 percent and to 2.09 after 5 years. The results in Table 8 refer to “informed” at birth. Since the results are similar for informed at conception, we do not present them here.
Recurrence risk and shadow of ASD or veil of ignorance.
The opening quotation from Rutter, made in 2010, applies also today. In this paper, we respond to Rutter’s challenge by reporting empirical evidence of three behavioral phenomena in the determination of recurrence risk. Our interpretation of these phenomena in terms of empowerment and imperilment theory, and self-selectivity into reproductive stoppage is less important than their statistical salience. Perhaps other interpretations exist. However, behavioral theory provides axioms, which predicted these effects. By contrast neurodevelopmental theory does not.
The result that recurrence risk is smaller among informed parents is consistent with them being more resilient. This does not mean that they are better parents. It simply means that parents who knowingly or consciously decided against reproductive stoppage are different to parents who conceived before their index child was diagnosed. Nor do we claim that the neurodevelopmental model is false. Indeed, our results are consistent with this model. However, they are not exclusively so. We find that the three behavioral parental phenomena significantly improve predictions of recurrence risk when they are added to the neurodevelopmental model. However, standard neurodevelopmental covariates such as birth gaps and birth orders continue to be statistically significant; they are not superseded by the three behavioral parental phenomena.
Can these behavioral results be confounded by neurodevelopmental effects? This would be the case if the difference between the dates of diagnosis of elder siblings and the dates of conception or birth of younger siblings happened to be correlated with neurodevelopmental phenomena. This difference is positive for uninformed families and negative for informed families. This difference also equals age at diagnosis minus sibling age gaps. There is no reason to suspect that sibling age gaps are directly or indirectly correlated with neurodevelopmental genotypes. However, age at diagnosis might be negatively correlated, if severer cases of ASD are diagnosed more quickly. If so, recurrence risk should vary inversely with age at diagnosis, and birth gaps should have no effect on recurrence risk. Since our results reject both of these predictions, we do not think that they are an artifact of confounding.
Standard neurodevelopmental covariates, such as birth order, might also bear behavioral interpretations. The neurodevelopmental interpretation is that birth order is naturally larger in families that have had more regular children. These families are presumed to be genetically less susceptible to ASD recurrence. A behavioral interpretation might be that parents who have had more experience in raising children are more resilient, which is why recurrence risk varies inversely with birth order. The same applies to covariates such as the ages of parents, which have behavioral as well as neurodevelopmental interpretations. In observational studies results are inevitably ambiguous. On the other hand, whereas most neurodevelopmental covariates have behavioral interpretations, the three behavioral phenomena studied here do not have neurodevelopmental interpretations.
We make a methodological contribution by exploiting the randomness in the timing of diagnoses as a source of natural experimentation. Randomized trials are obviously not feasible because parents cannot be assigned into treatment groups who are informed and controls who are uninformed. By contrast, natural experimentation induced by the timing of diagnosis most probably reveals the same information with greater reliability provided recurrence risk is sufficiently independent of the timing of diagnosis.
In summary, the Bettelheim Affair blighted behavioral research into the etiology of ASD. However, the distinction should be made between discredited psychoanalytical theories and untested psychopathological theories that are behavioral. We close with some further quotations from Rutter [28]. “At first sight, it might seem that autism is the diagnostic category least likely to require a developmental psychopathology perspective.” However, in reference to grand discredited theories they add, “There is a continuing need to remain skeptical about the new evangelisms that have come to take their place, but equally the imperative must be to replace doubt with programmatic research that truly tests competing hypotheses.” Hopefully, the present paper will be judged in this light.
Thanks to Dr. Daniel Gottlieb and Dr. Ofir Pinto of Israel’s National Insurance Institute for arranging access to the data. Many thanks to Liraz Klausner for excellent research assistance.
As a company committed to the wider dissemination of knowledge, IntechOpen supports the OAI Metadata Harvesting Protocol (OAI-PMH Version 2.0).
',metaTitle:"OAI-PMH",metaDescription:"As a firm believer in the wider dissemination of knowledge, IntechOpen supports the OAI Metadata Harvesting Protocol (OAI-PMH Version 2.0).",metaKeywords:null,canonicalURL:"/page/oai-pmh",contentRaw:'[{"type":"htmlEditorComponent","content":"The OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) is used to govern the collection of metadata descriptions and enables other archives to access our database. The Protocol has been developed by the Open Archives Initiative, based on ensuring interoperability standards in order to ease and promote broader and more efficient dissemination of information within the scientific community.
\\n\\nWe have adopted the Protocol to increase the number of readers of our publications. All our Works are more widely accessible, with resulting benefits for scholars, researchers, students, libraries, universities and other academic institutions. Through this method of exposing metadata, IntechOpen enables citation indexes, scientific search engines, scholarly databases, and scientific literature collections to gather metadata from our repository and make our publications available to a broader academic audience.
\\n\\nAs a Registered Data Provider, metadata for published Books and Chapters are available via our interface at the base URL: http://mts.intechopen.com/oai/index.php
\\n\\nREQUESTS
\\n\\nYou can find out more about the Protocol by visiting the Open Archives website. For additional questions please contact us at ai@intechopen.com.
\\n\\nDATABASES
\\n\\nDatabases, repositories and search engines that provide services based on metadata harvested using the OAI metadata harvesting protocol include:
\\n\\nBASE - Bielefeld Academic Search Engine
\\n\\nOne of the world's most powerful search engines, used primarily for academic Open Access web resources.
\\n\\n\\n\\nA search engine for online catalogues of publications from all over the world.
\\n"}]'},components:[{type:"htmlEditorComponent",content:'The OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) is used to govern the collection of metadata descriptions and enables other archives to access our database. The Protocol has been developed by the Open Archives Initiative, based on ensuring interoperability standards in order to ease and promote broader and more efficient dissemination of information within the scientific community.
\n\nWe have adopted the Protocol to increase the number of readers of our publications. All our Works are more widely accessible, with resulting benefits for scholars, researchers, students, libraries, universities and other academic institutions. Through this method of exposing metadata, IntechOpen enables citation indexes, scientific search engines, scholarly databases, and scientific literature collections to gather metadata from our repository and make our publications available to a broader academic audience.
\n\nAs a Registered Data Provider, metadata for published Books and Chapters are available via our interface at the base URL: http://mts.intechopen.com/oai/index.php
\n\nREQUESTS
\n\nYou can find out more about the Protocol by visiting the Open Archives website. For additional questions please contact us at ai@intechopen.com.
\n\nDATABASES
\n\nDatabases, repositories and search engines that provide services based on metadata harvested using the OAI metadata harvesting protocol include:
\n\nBASE - Bielefeld Academic Search Engine
\n\nOne of the world's most powerful search engines, used primarily for academic Open Access web resources.
\n\n\n\nA search engine for online catalogues of publications from all over the world.
\n'}]},successStories:{items:[]},authorsAndEditors:{filterParams:{sort:"featured,name"},profiles:[],filtersByRegion:[],offset:0,limit:12,total:null},chapterEmbeded:{data:{}},editorApplication:{success:null,errors:{}},ofsBooks:{filterParams:{hasNoEditors:"0",sort:"dateEndThirdStepPublish"},books:[{type:"book",id:"11561",title:"Zeolite From Wastes - New Perspectives on Innovative Resources and Their Valorization Process",subtitle:null,isOpenForSubmission:!0,hash:"3ed0dfd842de9cd1143212415903e6ad",slug:null,bookSignature:"Dr. Claudia Belviso",coverURL:"https://cdn.intechopen.com/books/images_new/11561.jpg",editedByType:null,editors:[{id:"61457",title:"Dr.",name:"Claudia",surname:"Belviso",slug:"claudia-belviso",fullName:"Claudia Belviso"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11600",title:"Recent Update on Multiple Myeloma\ufeff",subtitle:null,isOpenForSubmission:!0,hash:"c8e2b12df4fc2d313aced448fe08a63e",slug:null,bookSignature:"Dr. Khalid Ahmed Al-Anazi",coverURL:"https://cdn.intechopen.com/books/images_new/11600.jpg",editedByType:null,editors:[{id:"37255",title:"Dr.",name:"Khalid",surname:"Al-Anazi",slug:"khalid-al-anazi",fullName:"Khalid Al-Anazi"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11586",title:"Schizophrenia - Recent Advances and Patient-Centered Treatment Perspectives",subtitle:null,isOpenForSubmission:!0,hash:"2ba14221aca01660b2547004d9b5c2d9",slug:null,bookSignature:"Dr. Jane Yip",coverURL:"https://cdn.intechopen.com/books/images_new/11586.jpg",editedByType:null,editors:[{id:"156214",title:"Dr.",name:"Jane",surname:"Yip",slug:"jane-yip",fullName:"Jane Yip"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11519",title:"Vibration Monitoring and Analysis - Recent Advances",subtitle:null,isOpenForSubmission:!0,hash:"f0d2d82a5c1a49020abf39dc8aabd89d",slug:null,bookSignature:"Dr.Ing. Louay Yousuf",coverURL:"https://cdn.intechopen.com/books/images_new/11519.jpg",editedByType:null,editors:[{id:"322417",title:"Dr.Ing.",name:"Louay",surname:"Yousuf",slug:"louay-yousuf",fullName:"Louay Yousuf"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11445",title:"Multi-Agent Technologies and Machine Learning",subtitle:null,isOpenForSubmission:!0,hash:"d980826615baa6e33456e2a79064c5e8",slug:null,bookSignature:"Prof. Igor Sheremet",coverURL:"https://cdn.intechopen.com/books/images_new/11445.jpg",editedByType:null,editors:[{id:"265237",title:"Prof.",name:"Igor",surname:"Sheremet",slug:"igor-sheremet",fullName:"Igor Sheremet"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11470",title:"Graphene - Recent Advances, Future Perspective and Applied Applications",subtitle:null,isOpenForSubmission:!0,hash:"409e022e3baf48795e816576a6ee66e3",slug:null,bookSignature:"Dr. Mujtaba Ikram, Dr. Asghari Maqsood and Dr. Aneeqa Bashir",coverURL:"https://cdn.intechopen.com/books/images_new/11470.jpg",editedByType:null,editors:[{id:"286820",title:"Dr.",name:"Mujtaba",surname:"Ikram",slug:"mujtaba-ikram",fullName:"Mujtaba Ikram"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11484",title:"Thin Film Deposition - Fundamentals, Processes, and Applications",subtitle:null,isOpenForSubmission:!0,hash:"9c10a55203c2f0f7d47c743e6cfa2492",slug:null,bookSignature:"Dr. Dongfang Yang",coverURL:"https://cdn.intechopen.com/books/images_new/11484.jpg",editedByType:null,editors:[{id:"177814",title:"Dr.",name:"Dongfang",surname:"Yang",slug:"dongfang-yang",fullName:"Dongfang Yang"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11620",title:"Tomato - From Cultivation to Processing Technology",subtitle:null,isOpenForSubmission:!0,hash:"cdc23b5aad5d52bc0f0327c453ac7a1b",slug:null,bookSignature:"Prof. Pranas Viskelis, Dr. Dalia Urbonavičienė and Dr. Jonas Viskelis",coverURL:"https://cdn.intechopen.com/books/images_new/11620.jpg",editedByType:null,editors:[{id:"83785",title:"Prof.",name:"Pranas",surname:"Viskelis",slug:"pranas-viskelis",fullName:"Pranas Viskelis"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11525",title:"Wood Industry - Past, Present and Future Outlook",subtitle:null,isOpenForSubmission:!0,hash:"ccb74142053c89e0e572ac1c5d717a11",slug:null,bookSignature:"Prof. Guanben Du and Dr. Xiaojian Zhou",coverURL:"https://cdn.intechopen.com/books/images_new/11525.jpg",editedByType:null,editors:[{id:"291315",title:"Prof.",name:"Guanben",surname:"Du",slug:"guanben-du",fullName:"Guanben Du"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11468",title:"High Entropy Alloys - Recent Advances, New Perspectives and Applications",subtitle:null,isOpenForSubmission:!0,hash:"3b4ef3ce01f8f9b113dc28ac847b8c0d",slug:null,bookSignature:"Prof. Yong A Zhang",coverURL:"https://cdn.intechopen.com/books/images_new/11468.jpg",editedByType:null,editors:[{id:"203937",title:"Prof.",name:"Yong",surname:"Zhang",slug:"yong-zhang",fullName:"Yong Zhang"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11691",title:"Orthognathic Surgery and Dentofacial Deformities",subtitle:null,isOpenForSubmission:!0,hash:"413b0d1441beac767fe0fbf7c0e98622",slug:null,bookSignature:"Dr. H. Brian Sun",coverURL:"https://cdn.intechopen.com/books/images_new/11691.jpg",editedByType:null,editors:[{id:"184302",title:"Dr.",name:"H. Brian",surname:"Sun",slug:"h.-brian-sun",fullName:"H. Brian Sun"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11655",title:"Atrial Fibrillation - Diagnosis and Management in the 21st Century",subtitle:null,isOpenForSubmission:!0,hash:"a0ecc730df6b37a0e1cb00968a5be34d",slug:null,bookSignature:"Prof. Ozgur Karcioglu and Associate Prof. Funda Karbek Akarca",coverURL:"https://cdn.intechopen.com/books/images_new/11655.jpg",editedByType:null,editors:[{id:"221195",title:"Prof.",name:"Ozgur",surname:"Karcioglu",slug:"ozgur-karcioglu",fullName:"Ozgur Karcioglu"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],filtersByTopic:[{group:"topic",caption:"Agricultural and Biological Sciences",value:5,count:43},{group:"topic",caption:"Biochemistry, Genetics and Molecular Biology",value:6,count:12},{group:"topic",caption:"Business, Management and Economics",value:7,count:4},{group:"topic",caption:"Chemistry",value:8,count:24},{group:"topic",caption:"Computer and Information Science",value:9,count:19},{group:"topic",caption:"Earth and Planetary Sciences",value:10,count:19},{group:"topic",caption:"Engineering",value:11,count:65},{group:"topic",caption:"Environmental Sciences",value:12,count:9},{group:"topic",caption:"Immunology and Microbiology",value:13,count:11},{group:"topic",caption:"Materials Science",value:14,count:29},{group:"topic",caption:"Mathematics",value:15,count:11},{group:"topic",caption:"Medicine",value:16,count:128},{group:"topic",caption:"Nanotechnology and Nanomaterials",value:17,count:9},{group:"topic",caption:"Neuroscience",value:18,count:3},{group:"topic",caption:"Pharmacology, Toxicology and Pharmaceutical Science",value:19,count:6},{group:"topic",caption:"Physics",value:20,count:12},{group:"topic",caption:"Psychology",value:21,count:9},{group:"topic",caption:"Robotics",value:22,count:3},{group:"topic",caption:"Social Sciences",value:23,count:9},{group:"topic",caption:"Veterinary Medicine and Science",value:25,count:3}],offset:12,limit:12,total:430},popularBooks:{featuredBooks:[],offset:0,limit:12,total:null},hotBookTopics:{hotBooks:[],offset:0,limit:12,total:null},publish:{},publishingProposal:{success:null,errors:{}},books:{featuredBooks:[{type:"book",id:"9974",title:"E-Learning and Digital Education in the Twenty-First Century",subtitle:null,isOpenForSubmission:!1,hash:"88b58d66e975df20425fc1dfd22d53aa",slug:"e-learning-and-digital-education-in-the-twenty-first-century",bookSignature:"M. Mahruf C. Shohel",coverURL:"https://cdn.intechopen.com/books/images_new/9974.jpg",publishedDate:"May 18th 2022",numberOfDownloads:3385,editors:[{id:"94099",title:"Dr.",name:"M. Mahruf C.",middleName:null,surname:"Shohel",slug:"m.-mahruf-c.-shohel",fullName:"M. Mahruf C. Shohel"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11001",title:"Density Functional Theory",subtitle:"Recent Advances, New Perspectives and Applications",isOpenForSubmission:!1,hash:"82d53383af78ab41eb982086c02fb2bb",slug:"density-functional-theory-recent-advances-new-perspectives-and-applications",bookSignature:"Daniel Glossman-Mitnik",coverURL:"https://cdn.intechopen.com/books/images_new/11001.jpg",publishedDate:"May 18th 2022",numberOfDownloads:1875,editors:[{id:"198499",title:"Dr.",name:"Daniel",middleName:null,surname:"Glossman-Mitnik",slug:"daniel-glossman-mitnik",fullName:"Daniel Glossman-Mitnik"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10356",title:"Natural Medicinal Plants",subtitle:null,isOpenForSubmission:!1,hash:"943e56ccaaf19ff696d25aa638ae37d6",slug:"natural-medicinal-plants",bookSignature:"Hany A. El-Shemy",coverURL:"https://cdn.intechopen.com/books/images_new/10356.jpg",publishedDate:"May 11th 2022",numberOfDownloads:3842,editors:[{id:"54719",title:"Prof.",name:"Hany",middleName:null,surname:"El-Shemy",slug:"hany-el-shemy",fullName:"Hany El-Shemy"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11752",title:"Natural Drugs from Plants",subtitle:null,isOpenForSubmission:!1,hash:"a0a83c0822608ef7592bf16a5ed0ada4",slug:"natural-drugs-from-plants",bookSignature:"Hany A. El-Shemy",coverURL:"https://cdn.intechopen.com/books/images_new/11752.jpg",publishedDate:"May 11th 2022",numberOfDownloads:3008,editors:[{id:"54719",title:"Prof.",name:"Hany",middleName:null,surname:"El-Shemy",slug:"hany-el-shemy",fullName:"Hany El-Shemy"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10251",title:"Plankton Communities",subtitle:null,isOpenForSubmission:!1,hash:"e11e441ca2d2d5f631b1b4704505cfb6",slug:"plankton-communities",bookSignature:"Leonel Pereira and Ana Marta Gonçalves",coverURL:"https://cdn.intechopen.com/books/images_new/10251.jpg",publishedDate:"May 18th 2022",numberOfDownloads:1109,editors:[{id:"279788",title:"Dr.",name:"Leonel",middleName:null,surname:"Pereira",slug:"leonel-pereira",fullName:"Leonel Pereira"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10830",title:"Animal Feed Science and Nutrition",subtitle:"Production, Health and Environment",isOpenForSubmission:!1,hash:"79944fc8fbbaa329aed6fde388154832",slug:"animal-feed-science-and-nutrition-production-health-and-environment",bookSignature:"Amlan Kumar Patra",coverURL:"https://cdn.intechopen.com/books/images_new/10830.jpg",publishedDate:"May 18th 2022",numberOfDownloads:1010,editors:[{id:"310962",title:"Dr.",name:"Amlan",middleName:"Kumar",surname:"Patra",slug:"amlan-patra",fullName:"Amlan Patra"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10584",title:"Engineered Wood Products for Construction",subtitle:null,isOpenForSubmission:!1,hash:"421757c56a3735986055250821275a51",slug:"engineered-wood-products-for-construction",bookSignature:"Meng Gong",coverURL:"https://cdn.intechopen.com/books/images_new/10584.jpg",publishedDate:"April 28th 2022",numberOfDownloads:3918,editors:[{id:"274242",title:"Dr.",name:"Meng",middleName:null,surname:"Gong",slug:"meng-gong",fullName:"Meng Gong"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"9670",title:"Current Trends in Wheat Research",subtitle:null,isOpenForSubmission:!1,hash:"89d795987f1747a76eee532700d2093d",slug:"current-trends-in-wheat-research",bookSignature:"Mahmood-ur-Rahman Ansari",coverURL:"https://cdn.intechopen.com/books/images_new/9670.jpg",publishedDate:"May 11th 2022",numberOfDownloads:1654,editors:[{id:"185476",title:"Dr.",name:"Mahmood-ur-Rahman",middleName:null,surname:"Ansari",slug:"mahmood-ur-rahman-ansari",fullName:"Mahmood-ur-Rahman Ansari"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"9032",title:"Corporate Social Responsibility",subtitle:null,isOpenForSubmission:!1,hash:"f609bf3251d7cc7bae0099a4374adfc3",slug:"corporate-social-responsibility",bookSignature:"Beatrice Orlando",coverURL:"https://cdn.intechopen.com/books/images_new/9032.jpg",publishedDate:"March 16th 2022",numberOfDownloads:7686,editors:[{id:"232969",title:"Prof.",name:"Beatrice",middleName:null,surname:"Orlando",slug:"beatrice-orlando",fullName:"Beatrice Orlando"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10681",title:"Biodegradation Technology of Organic and Inorganic Pollutants",subtitle:null,isOpenForSubmission:!1,hash:"9a6e10e02788092872fd249436898e97",slug:"biodegradation-technology-of-organic-and-inorganic-pollutants",bookSignature:"Kassio Ferreira Mendes, Rodrigo Nogueira de Sousa and Kamila Cabral Mielke",coverURL:"https://cdn.intechopen.com/books/images_new/10681.jpg",publishedDate:"April 20th 2022",numberOfDownloads:3444,editors:[{id:"197720",title:"Ph.D.",name:"Kassio",middleName:null,surname:"Ferreira Mendes",slug:"kassio-ferreira-mendes",fullName:"Kassio Ferreira Mendes"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}}],latestBooks:[{type:"book",id:"10522",title:"Coding Theory",subtitle:"Recent Advances, New Perspectives and Applications",isOpenForSubmission:!1,hash:"6357e1dd7d38adeb519ca7a10dc9e5a0",slug:"coding-theory-recent-advances-new-perspectives-and-applications",bookSignature:"Sudhakar Radhakrishnan and Sudev Naduvath",coverURL:"https://cdn.intechopen.com/books/images_new/10522.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"26327",title:"Dr.",name:"Sudhakar",middleName:null,surname:"Radhakrishnan",slug:"sudhakar-radhakrishnan",fullName:"Sudhakar Radhakrishnan"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10821",title:"Automation and Control",subtitle:"Theories and Applications",isOpenForSubmission:!1,hash:"18463c2291ba306c4dcbabd988227eea",slug:"automation-and-control-theories-and-applications",bookSignature:"Elmer P. Dadios",coverURL:"https://cdn.intechopen.com/books/images_new/10821.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"111683",title:"Prof.",name:"Elmer P.",middleName:"P.",surname:"Dadios",slug:"elmer-p.-dadios",fullName:"Elmer P. Dadios"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11348",title:"Mutagenesis and Mitochondrial-Associated Pathologies",subtitle:null,isOpenForSubmission:!1,hash:"001972b3c5b49367314b13025a449232",slug:"mutagenesis-and-mitochondrial-associated-pathologies",bookSignature:"Michael Fasullo and Angel Catala",coverURL:"https://cdn.intechopen.com/books/images_new/11348.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"258231",title:"Dr.",name:"Michael",middleName:"Thomas",surname:"Fasullo",slug:"michael-fasullo",fullName:"Michael Fasullo"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11123",title:"Epoxy-Based Composites",subtitle:null,isOpenForSubmission:!1,hash:"c1c5447cf3b9d6c7688276ac30e80de6",slug:"epoxy-based-composites",bookSignature:"Samson Jerold Samuel Chelladurai, Ramesh Arthanari and M.R.Meera",coverURL:"https://cdn.intechopen.com/books/images_new/11123.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"247421",title:"Dr.",name:"Samson Jerold Samuel",middleName:null,surname:"Chelladurai",slug:"samson-jerold-samuel-chelladurai",fullName:"Samson Jerold Samuel Chelladurai"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10632",title:"Theory and Practice of Tunnel Engineering",subtitle:null,isOpenForSubmission:!1,hash:"7ba17749f9d0b6a62d584a3c320a1f49",slug:"theory-and-practice-of-tunnel-engineering",bookSignature:"Hasan Tosun",coverURL:"https://cdn.intechopen.com/books/images_new/10632.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"79083",title:"Prof.",name:"Hasan",middleName:null,surname:"Tosun",slug:"hasan-tosun",fullName:"Hasan Tosun"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10906",title:"Fungal Reproduction and Growth",subtitle:null,isOpenForSubmission:!1,hash:"f84de0280d54f3b52e3e4585cff24ac1",slug:"fungal-reproduction-and-growth",bookSignature:"Sadia Sultan and Gurmeet Kaur Surindar Singh",coverURL:"https://cdn.intechopen.com/books/images_new/10906.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"176737",title:"Dr.",name:"Sadia",middleName:null,surname:"Sultan",slug:"sadia-sultan",fullName:"Sadia Sultan"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10914",title:"Effective Elimination of Structural Racism",subtitle:null,isOpenForSubmission:!1,hash:"f6a2562646c0fd664aca8335bc3b3e69",slug:"effective-elimination-of-structural-racism",bookSignature:"Erick Guerrero",coverURL:"https://cdn.intechopen.com/books/images_new/10914.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"294761",title:"Dr.",name:"Erick",middleName:null,surname:"Guerrero",slug:"erick-guerrero",fullName:"Erick Guerrero"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10664",title:"Animal Reproduction",subtitle:null,isOpenForSubmission:!1,hash:"2d66af42fb17d0a6556bb9ef28e273c7",slug:"animal-reproduction",bookSignature:"Yusuf Bozkurt and Mustafa Numan Bucak",coverURL:"https://cdn.intechopen.com/books/images_new/10664.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"90846",title:"Prof.",name:"Yusuf",middleName:null,surname:"Bozkurt",slug:"yusuf-bozkurt",fullName:"Yusuf Bozkurt"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10940",title:"Plant Hormones",subtitle:"Recent Advances, New Perspectives and Applications",isOpenForSubmission:!1,hash:"5aae8a345f8047ed528914ff3491f643",slug:"plant-hormones-recent-advances-new-perspectives-and-applications",bookSignature:"Christophe Hano",coverURL:"https://cdn.intechopen.com/books/images_new/10940.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"313856",title:"Dr.",name:"Christophe",middleName:"F.E.",surname:"Hano",slug:"christophe-hano",fullName:"Christophe Hano"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10207",title:"Sexual Abuse",subtitle:"An Interdisciplinary Approach",isOpenForSubmission:!1,hash:"e1ec1d5a7093490df314d7887e0b3809",slug:"sexual-abuse-an-interdisciplinary-approach",bookSignature:"Ersi Kalfoğlu and Sotirios Kalfoglou",coverURL:"https://cdn.intechopen.com/books/images_new/10207.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"68678",title:"Dr.",name:"Ersi",middleName:null,surname:"Kalfoglou",slug:"ersi-kalfoglou",fullName:"Ersi Kalfoglou"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},subject:{topic:{id:"212",title:"Molecular Neuroscience",slug:"molecular-neuroscience",parent:{id:"18",title:"Neuroscience",slug:"life-sciences-neuroscience"},numberOfBooks:7,numberOfSeries:0,numberOfAuthorsAndEditors:156,numberOfWosCitations:145,numberOfCrossrefCitations:121,numberOfDimensionsCitations:250,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"212",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"6998",title:"Synucleins",subtitle:"Biochemistry and Role in Diseases",isOpenForSubmission:!1,hash:"2b4b802fec508928ce8ab9deebd1375f",slug:"synucleins-biochemistry-and-role-in-diseases",bookSignature:"Andrei Surguchov",coverURL:"https://cdn.intechopen.com/books/images_new/6998.jpg",editedByType:"Edited by",editors:[{id:"266540",title:"Dr.",name:"Andrei",middleName:null,surname:"Surguchov",slug:"andrei-surguchov",fullName:"Andrei Surguchov"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6989",title:"Biogenic Amines in Neurotransmission and Human Disease",subtitle:null,isOpenForSubmission:!1,hash:"4c7e866a847bc30d77f37feccdf72dbf",slug:"biogenic-amines-in-neurotransmission-and-human-disease",bookSignature:"Ahmet Uçar",coverURL:"https://cdn.intechopen.com/books/images_new/6989.jpg",editedByType:"Edited by",editors:[{id:"205106",title:"Associate Prof.",name:"Ahmet",middleName:null,surname:"Uçar",slug:"ahmet-ucar",fullName:"Ahmet Uçar"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7480",title:"Neurochemical Basis of Brain Function and Dysfunction",subtitle:null,isOpenForSubmission:!1,hash:"262be213941c1aaa0dd80896713f5e1f",slug:"neurochemical-basis-of-brain-function-and-dysfunction",bookSignature:"Thomas Heinbockel and Antonei B. Csoka",coverURL:"https://cdn.intechopen.com/books/images_new/7480.jpg",editedByType:"Edited by",editors:[{id:"70569",title:"Dr.",name:"Thomas",middleName:null,surname:"Heinbockel",slug:"thomas-heinbockel",fullName:"Thomas Heinbockel"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7040",title:"Recent Advances in Cannabinoid Research",subtitle:null,isOpenForSubmission:!1,hash:"b85fe0e356faddc5ff53928dd5c3a142",slug:"recent-advances-in-cannabinoid-research",bookSignature:"Willard J Costain and Robert B Laprairie",coverURL:"https://cdn.intechopen.com/books/images_new/7040.jpg",editedByType:"Edited by",editors:[{id:"89884",title:"Dr.",name:"Willard James",middleName:null,surname:"Costain",slug:"willard-james-costain",fullName:"Willard James Costain"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6237",title:"GABA And Glutamate",subtitle:"New Developments In Neurotransmission Research",isOpenForSubmission:!1,hash:"9883dc7bb642e8ae919261b2519547ba",slug:"gaba-and-glutamate-new-developments-in-neurotransmission-research",bookSignature:"Janko Samardzic",coverURL:"https://cdn.intechopen.com/books/images_new/6237.jpg",editedByType:"Edited by",editors:[{id:"188756",title:"Dr.",name:"Janko",middleName:null,surname:"Samardzic",slug:"janko-samardzic",fullName:"Janko Samardzic"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5780",title:"Serotonin",subtitle:"A Chemical Messenger Between All Types of Living Cells",isOpenForSubmission:!1,hash:"5fe2c461c95b4ee2d886e30b89d71723",slug:"serotonin-a-chemical-messenger-between-all-types-of-living-cells",bookSignature:"Kaneez Fatima Shad",coverURL:"https://cdn.intechopen.com/books/images_new/5780.jpg",editedByType:"Edited by",editors:[{id:"31988",title:"Prof.",name:"Kaneez",middleName:null,surname:"Fatima Shad",slug:"kaneez-fatima-shad",fullName:"Kaneez Fatima Shad"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3846",title:"Neurochemistry",subtitle:null,isOpenForSubmission:!1,hash:"671f065e6c1035adb042edc442626b8a",slug:"neurochemistry",bookSignature:"Thomas Heinbockel",coverURL:"https://cdn.intechopen.com/books/images_new/3846.jpg",editedByType:"Edited by",editors:[{id:"70569",title:"Dr.",name:"Thomas",middleName:null,surname:"Heinbockel",slug:"thomas-heinbockel",fullName:"Thomas Heinbockel"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:7,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"46296",doi:"10.5772/57398",title:"Physiological Role of Amyloid Beta in Neural Cells: The Cellular Trophic Activity",slug:"physiological-role-of-amyloid-beta-in-neural-cells-the-cellular-trophic-activity",totalDownloads:5886,totalCrossrefCites:18,totalDimensionsCites:31,abstract:null,book:{id:"3846",slug:"neurochemistry",title:"Neurochemistry",fullTitle:"Neurochemistry"},signatures:"M. del C. Cárdenas-Aguayo, M. del C. Silva-Lucero, M. Cortes-Ortiz,\nB. Jiménez-Ramos, L. Gómez-Virgilio, G. Ramírez-Rodríguez, E. Vera-\nArroyo, R. Fiorentino-Pérez, U. García, J. Luna-Muñoz and M.A.\nMeraz-Ríos",authors:[{id:"42225",title:"Dr.",name:"Jose",middleName:null,surname:"Luna-Muñoz",slug:"jose-luna-munoz",fullName:"Jose Luna-Muñoz"},{id:"114746",title:"Dr.",name:"Marco",middleName:null,surname:"Meraz-Ríos",slug:"marco-meraz-rios",fullName:"Marco Meraz-Ríos"},{id:"169616",title:"Dr.",name:"Maria del Carmen",middleName:null,surname:"Cardenas-Aguayo",slug:"maria-del-carmen-cardenas-aguayo",fullName:"Maria del Carmen Cardenas-Aguayo"},{id:"169857",title:"Dr.",name:"Maria del Carmen",middleName:null,surname:"Silva-Lucero",slug:"maria-del-carmen-silva-lucero",fullName:"Maria del Carmen Silva-Lucero"},{id:"169858",title:"Dr.",name:"Maribel",middleName:null,surname:"Cortes-Ortiz",slug:"maribel-cortes-ortiz",fullName:"Maribel Cortes-Ortiz"},{id:"169859",title:"Dr.",name:"Berenice",middleName:null,surname:"Jimenez-Ramos",slug:"berenice-jimenez-ramos",fullName:"Berenice Jimenez-Ramos"},{id:"169860",title:"Dr.",name:"Laura",middleName:null,surname:"Gomez-Virgilio",slug:"laura-gomez-virgilio",fullName:"Laura Gomez-Virgilio"},{id:"169861",title:"Dr.",name:"Gerardo",middleName:null,surname:"Ramirez-Rodriguez",slug:"gerardo-ramirez-rodriguez",fullName:"Gerardo Ramirez-Rodriguez"},{id:"169862",title:"Dr.",name:"Eduardo",middleName:null,surname:"Vera-Arroyo",slug:"eduardo-vera-arroyo",fullName:"Eduardo Vera-Arroyo"},{id:"169863",title:"Dr.",name:"Rosana Sofia",middleName:null,surname:"Fiorentino-Perez",slug:"rosana-sofia-fiorentino-perez",fullName:"Rosana Sofia Fiorentino-Perez"},{id:"169864",title:"Dr.",name:"Ubaldo",middleName:null,surname:"Garcia",slug:"ubaldo-garcia",fullName:"Ubaldo Garcia"}]},{id:"46312",doi:"10.5772/57604",title:"The Blood Brain Barrier — Regulation of Fatty Acid and Drug Transport",slug:"the-blood-brain-barrier-regulation-of-fatty-acid-and-drug-transport",totalDownloads:4226,totalCrossrefCites:6,totalDimensionsCites:13,abstract:null,book:{id:"3846",slug:"neurochemistry",title:"Neurochemistry",fullTitle:"Neurochemistry"},signatures:"Siddhartha Dalvi, Ngoc On, Hieu Nguyen, Michael Pogorzelec,\nDonald W. Miller and Grant M. Hatch",authors:[{id:"130802",title:"Dr.",name:"Grant",middleName:null,surname:"Hatch",slug:"grant-hatch",fullName:"Grant Hatch"},{id:"170126",title:"Prof.",name:"Donald",middleName:null,surname:"Miller",slug:"donald-miller",fullName:"Donald Miller"},{id:"170127",title:"Mr.",name:"Michael",middleName:null,surname:"Pogorzelec",slug:"michael-pogorzelec",fullName:"Michael Pogorzelec"},{id:"170128",title:"Ms.",name:"Hieu",middleName:null,surname:"Nguyen",slug:"hieu-nguyen",fullName:"Hieu Nguyen"},{id:"170129",title:"Dr.",name:"Ngoc",middleName:null,surname:"On",slug:"ngoc-on",fullName:"Ngoc On"},{id:"170130",title:"Dr.",name:"Siddhartha",middleName:null,surname:"Dalvi",slug:"siddhartha-dalvi",fullName:"Siddhartha Dalvi"}]},{id:"59071",doi:"10.5772/intechopen.74023",title:"Introductory Chapter: GABA/Glutamate Balance: A Key for Normal Brain Functioning",slug:"introductory-chapter-gaba-glutamate-balance-a-key-for-normal-brain-functioning",totalDownloads:1614,totalCrossrefCites:5,totalDimensionsCites:12,abstract:null,book:{id:"6237",slug:"gaba-and-glutamate-new-developments-in-neurotransmission-research",title:"GABA And Glutamate",fullTitle:"GABA And Glutamate - New Developments In Neurotransmission Research"},signatures:"Janko Samardzic, Dragana Jadzic, Boris Hencic, Jasna Jancic and\nDubravka Svob Strac",authors:[{id:"188756",title:"Dr.",name:"Janko",middleName:null,surname:"Samardzic",slug:"janko-samardzic",fullName:"Janko Samardzic"},{id:"398264",title:"Dr.",name:"Dragana",middleName:null,surname:"Jadzic",slug:"dragana-jadzic",fullName:"Dragana Jadzic"},{id:"398265",title:"Dr.",name:"Boris",middleName:null,surname:"Hencic",slug:"boris-hencic",fullName:"Boris Hencic"},{id:"398266",title:"Dr.",name:"Jasna",middleName:null,surname:"Jancic",slug:"jasna-jancic",fullName:"Jasna Jancic"},{id:"398267",title:"Dr.",name:"Dubravka Svob",middleName:null,surname:"Strac",slug:"dubravka-svob-strac",fullName:"Dubravka Svob Strac"}]},{id:"64031",doi:"10.5772/intechopen.81224",title:"Trends of Protein Aggregation in Neurodegenerative Diseases",slug:"trends-of-protein-aggregation-in-neurodegenerative-diseases",totalDownloads:1585,totalCrossrefCites:6,totalDimensionsCites:11,abstract:"Protein aggregation trends in neurodegenerative diseases are largely unmapped due to the complex nature of protein-protein interactions and their regulatory machineries such as protein proteolytic systems. Since the protein aggregation process in humans is a slow process, early determination of the patients that will develop neurodegenerative diseases later in life is critical in terms of starting effective treatment, which will reduce the expensive health care. In this chapter, I will discuss the nature of protein aggregation of signature proteins and the status of protein proteolytic systems such as proteasome and autophagosome in Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, frontotemporal lobar degeneration, Huntington’s disease, and prion disease under the light of recent studies including our new findings.",book:{id:"7480",slug:"neurochemical-basis-of-brain-function-and-dysfunction",title:"Neurochemical Basis of Brain Function and Dysfunction",fullTitle:"Neurochemical Basis of Brain Function and Dysfunction"},signatures:"Abdulbaki Agbas",authors:[{id:"250609",title:"Prof.",name:"Abdulbaki",middleName:null,surname:"Agbas",slug:"abdulbaki-agbas",fullName:"Abdulbaki Agbas"}]},{id:"55884",doi:"10.5772/intechopen.69111",title:"Production and Function of Serotonin in Cardiac Cells",slug:"production-and-function-of-serotonin-in-cardiac-cells",totalDownloads:1553,totalCrossrefCites:4,totalDimensionsCites:10,abstract:"Serotonin [5-hydroxy-tryptamine (5-HT)] exerts a number of effects in the mammalian heart: increase in heart rate, increase in force of contraction, fibrosis of cardiac valves, coronary constriction, arrhythmias and thrombosis. These effects are, in part, mediated by 5-HT-receptors, in part, directly by 5-HT action on intracellular proteins. In the beginning, 5-HT was thought to be only produced in the gut and then transported into the heart via platelets, because platelets can take up 5-HT in the gut and enter the capillaries and thus the mammalian heart. 5-HT is to a large extent metabolized in the liver and excreted via the urine. Here, we will also overview data that argue for additional pathways, namely production and degradation of 5-HT in the cells of the heart itself.",book:{id:"5780",slug:"serotonin-a-chemical-messenger-between-all-types-of-living-cells",title:"Serotonin",fullTitle:"Serotonin - A Chemical Messenger Between All Types of Living Cells"},signatures:"Joachim Neumann, Britt Hofmann and Ulrich Gergs",authors:[{id:"198376",title:"Prof.",name:"Joachim",middleName:null,surname:"Neumann",slug:"joachim-neumann",fullName:"Joachim Neumann"},{id:"205353",title:"Dr.",name:"Britt",middleName:null,surname:"Hofmann",slug:"britt-hofmann",fullName:"Britt Hofmann"},{id:"205354",title:"Dr.",name:"Ulrich",middleName:null,surname:"Gergs",slug:"ulrich-gergs",fullName:"Ulrich Gergs"}]}],mostDownloadedChaptersLast30Days:[{id:"57103",title:"GABA and Glutamate: Their Transmitter Role in the CNS and Pancreatic Islets",slug:"gaba-and-glutamate-their-transmitter-role-in-the-cns-and-pancreatic-islets",totalDownloads:3478,totalCrossrefCites:3,totalDimensionsCites:9,abstract:"Glutamate and gamma-aminobutyric acid (GABA) are the major neurotransmitters in the mammalian brain. Inhibitory GABA and excitatory glutamate work together to control many processes, including the brain’s overall level of excitation. The contributions of GABA and glutamate in extra-neuronal signaling are by far less widely recognized. In this chapter, we first discuss the role of both neurotransmitters during development, emphasizing the importance of the shift from excitatory to inhibitory GABAergic neurotransmission. The second part summarizes the biosynthesis and role of GABA and glutamate in neurotransmission in the mature brain, and major neurological disorders associated with glutamate and GABA receptors and GABA release mechanisms. The final part focuses on extra-neuronal glutamatergic and GABAergic signaling in pancreatic islets of Langerhans, and possible associations with type 1 diabetes mellitus.",book:{id:"6237",slug:"gaba-and-glutamate-new-developments-in-neurotransmission-research",title:"GABA And Glutamate",fullTitle:"GABA And Glutamate - New Developments In Neurotransmission Research"},signatures:"Christiane S. Hampe, Hiroshi Mitoma and Mario Manto",authors:[{id:"210220",title:"Prof.",name:"Christiane",middleName:null,surname:"Hampe",slug:"christiane-hampe",fullName:"Christiane Hampe"},{id:"210485",title:"Prof.",name:"Mario",middleName:null,surname:"Manto",slug:"mario-manto",fullName:"Mario Manto"},{id:"210486",title:"Prof.",name:"Hiroshi",middleName:null,surname:"Mitoma",slug:"hiroshi-mitoma",fullName:"Hiroshi Mitoma"}]},{id:"58817",title:"Clinical Application of MR Spectroscopy in Identifying Biochemical Composition of the Intracranial Pathologies",slug:"clinical-application-of-mr-spectroscopy-in-identifying-biochemical-composition-of-the-intracranial-p",totalDownloads:2029,totalCrossrefCites:0,totalDimensionsCites:5,abstract:"Magnetic resonance spectroscopy (MRS) provides useful information regarding metabolic composition in the tissues, and advanced spectroscopic methods are used to quantify markers of tumor membrane turnover and proliferation (e.g., choline (Cho)), energy homoeostasis (e.g., creatine (Cr)), intact glioneuronal structures (e.g., N-acetylaspartate (NAA)), and necrosis (e.g., lactate (Lac) or lipids). Results are usually expressed as metabolite ratios rather than absolute metabolite concentrations. Because glial tumors have some specific metabolic characteristics that differ according to the grade of tumor, there is a potential for MR spectroscopy to increase the sensitivity of routinely used diagnostic imaging. MRS also has many diagnostic applications in neurosciences to support the diagnosis in conditions like demyelination, infections, and dementia and in postradiotherapy cases. Biochemical changes in the metabolism of tumor cells related to malignant transformation are reflected in changes of particular metabolite concentration in the tumor tissue. Our prospective study aimed to analyze the usefulness of proton MR spectroscopy in grading of glioma and to correlate various metabolite ratios like choline/creatine, choline/N-acetylaspartate, N-acetylaspartate/creatine, and lactate/creatine with the histopathological grades of glioma.",book:{id:"6237",slug:"gaba-and-glutamate-new-developments-in-neurotransmission-research",title:"GABA And Glutamate",fullTitle:"GABA And Glutamate - New Developments In Neurotransmission Research"},signatures:"B C Hamsini, Bhavana Nagabhushana Reddy, Sankar Neelakantan\nand Sunitha Palasamudram Kumaran",authors:[{id:"211054",title:"Dr.",name:"Sunitha",middleName:null,surname:"P Kumaran",slug:"sunitha-p-kumaran",fullName:"Sunitha P Kumaran"},{id:"221485",title:"Dr.",name:"Sankar",middleName:null,surname:"Neelakantan",slug:"sankar-neelakantan",fullName:"Sankar Neelakantan"},{id:"398223",title:"Dr.",name:"B C",middleName:null,surname:"Hamsini",slug:"b-c-hamsini",fullName:"B C Hamsini"},{id:"398224",title:"Dr.",name:"Bhavana",middleName:null,surname:"Nagabhushana Reddy",slug:"bhavana-nagabhushana-reddy",fullName:"Bhavana Nagabhushana Reddy"}]},{id:"62431",title:"The United Chemicals of Cannabis: Beneficial Effects of Cannabis Phytochemicals on the Brain and Cognition",slug:"the-united-chemicals-of-cannabis-beneficial-effects-of-cannabis-phytochemicals-on-the-brain-and-cogn",totalDownloads:1777,totalCrossrefCites:3,totalDimensionsCites:10,abstract:"‘Medicinal cannabis’ can be defined as pharmaceutical grade cannabis-based products used for the treatment of illness. Beneficial treatment effects of cannabidiol (CBD), a major non-intoxicating compound isolated from the cannabis plant, have been shown in multiple states of cognitive impairment, including neurodegenerative (Alzheimer’s, Huntington’s and Parkinson’s disease), neuroinflammatory (sepsis-induced encephalopathy) and neurological disorders (ischemic brain injury). CBD can also treat some of the symptoms of schizophrenia, including cognitive deficits (impairments in learning and memory), which is a major symptom domain of the illness that is largely resistant to existing antipsychotic medications. However, empirical evidence suggests the presence of an ‘entourage effect’ in cannabis; that is, observations that medicinal cannabis seems to work better in some instances when administered as a whole-plant extract. While scientific evidence highlights isolated CBD as a strong candidate for treating cognitive impairment, the entourage effect suggests that the co-operation of other plant molecules could provide further benefits. This chapter explores the scientific evidence surrounding the benefits of CBD and other specific key phytochemicals in cannabis: linalool, α-pinene, β-caryophyllene, flavonoids and anthocyanin, on brain health and cognition.",book:{id:"7040",slug:"recent-advances-in-cannabinoid-research",title:"Recent Advances in Cannabinoid Research",fullTitle:"Recent Advances in Cannabinoid Research"},signatures:"Katrina Weston-Green",authors:null},{id:"68776",title:"Introductory Chapter: The Chemical Basis of Neural Function and Dysfunction",slug:"introductory-chapter-the-chemical-basis-of-neural-function-and-dysfunction",totalDownloads:1099,totalCrossrefCites:1,totalDimensionsCites:2,abstract:null,book:{id:"7480",slug:"neurochemical-basis-of-brain-function-and-dysfunction",title:"Neurochemical Basis of Brain Function and Dysfunction",fullTitle:"Neurochemical Basis of Brain Function and Dysfunction"},signatures:"Thomas Heinbockel and Antonei B. Csoka",authors:[{id:"70569",title:"Dr.",name:"Thomas",middleName:null,surname:"Heinbockel",slug:"thomas-heinbockel",fullName:"Thomas Heinbockel"},{id:"245650",title:"Dr.",name:"Antonei B.",middleName:null,surname:"Csoka",slug:"antonei-b.-csoka",fullName:"Antonei B. Csoka"}]},{id:"68712",title:"Synaptic Transmission and Amino Acid Neurotransmitters",slug:"synaptic-transmission-and-amino-acid-neurotransmitters",totalDownloads:1342,totalCrossrefCites:6,totalDimensionsCites:7,abstract:"Amino acids are the most abundant neurotransmitters in the brain. Neurotransmitters are synthesized and stored in presynaptic terminals, released from terminals upon stimulation with specific receptors on the postsynaptic cells. Chemical and electrical synapses are specialized biological structures found in the nervous system; they connect neurons together and transmit signals across the neurons. The process of synaptic transmission generates or inhibits electrical impulses in a network of neurons for the processing of information. Glutamate is the primary excitatory neurotransmitter in the brain, while GABA is the principal inhibitory neurotransmitter. The balance of glutamatergic and GABAergic tone is crucial to normal neurologic function. Through synaptic transmission, this information is communicated from the presynaptic cell to the postsynaptic cell. Amino acid neurotransmitters primarily glutamic acid, GABA, aspartic acid, and glycine are single amino acid residues released from presynaptic nerve terminals in response to an action potential and cross the synaptic cleft to bind with specific receptor on the postsynaptic membrane. The integral role of amino acid neurotransmitters is important on the normal functioning of the brain. The presynaptic and postsynaptic events in chemical synapses are subject to use dependent and highly regulated as per the changes in synaptic neurotransmitter release and function.",book:{id:"7480",slug:"neurochemical-basis-of-brain-function-and-dysfunction",title:"Neurochemical Basis of Brain Function and Dysfunction",fullTitle:"Neurochemical Basis of Brain Function and Dysfunction"},signatures:"Manorama Patri",authors:[{id:"196763",title:"Dr.",name:"Manorama",middleName:null,surname:"Patri",slug:"manorama-patri",fullName:"Manorama Patri"}]}],onlineFirstChaptersFilter:{topicId:"212",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81488",title:"Aggression and Sexual Behavior: Overlapping or Distinct Roles of 5-HT1A and 5-HT1B Receptors",slug:"aggression-and-sexual-behavior-overlapping-or-distinct-roles-of-5-ht1a-and-5-ht1b-receptors",totalDownloads:19,totalDimensionsCites:0,doi:"10.5772/intechopen.104872",abstract:"Distinct brain mechanisms for male aggressive and sexual behavior are present in mammalian species, including man. However, recent evidence suggests a strong connection and even overlap in the central nervous system (CNS) circuitry involved in aggressive and sexual behavior. The serotonergic system in the CNS is strongly involved in male aggressive and sexual behavior. In particular, 5-HT1A and 5-HT1B receptors seem to play a critical role in the modulation of these behaviors. The present chapter focuses on the effects of 5-HT1A- and 5-HT1B-receptor ligands in male rodent aggression and sexual behavior. Results indicate that 5-HT1B-heteroreceptors play a critical role in the modulation of male offensive behavior, although a definite role of 5-HT1A-auto- or heteroreceptors cannot be ruled out. 5-HT1A receptors are clearly involved in male sexual behavior, although it has to be yet unraveled whether 5-HT1A-auto- or heteroreceptors are important. Although several key nodes in the complex circuitry of aggression and sexual behavior are known, in particular in the medial hypothalamus, a clear link or connection to these critical structures and the serotonergic key receptors is yet to be determined. This information is urgently needed to detect and develop new selective anti-aggressive (serenic) and pro-sexual drugs for human applications.",book:{id:"10195",title:"Serotonin and the CNS - New Developments in Pharmacology and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/10195.jpg"},signatures:"Berend Olivier and Jocelien D.A. Olivier"},{id:"76869",title:"Role of 5-HT in Cerebral Edema after Traumatic Brain Injury",slug:"role-of-5-ht-in-cerebral-edema-after-traumatic-brain-injury",totalDownloads:138,totalDimensionsCites:0,doi:"10.5772/intechopen.96460",abstract:"The pathogenesis of edema after traumatic brain injury is complex including the destruction of micro-vessels and alterations in microcirculation around the primary injury and leakage of plasma constituents into the tissue, due to permeability changes of the vessel walls. Many functional molecules like histamine, serotonin, arachidonic acid, prostaglandins and thromboxane have been shown to induce blood–brain barrier (BBB) disruption or cell swelling. It is believed that released 5-HT binds to 5-HT2 receptors stimulating cAMP and prostaglandins in vessels that cause more vesicular transport in endothelial cells leading to serum component’s extravasation. The additional amount of serotonin into the tissue due to injury maintains the state of increased vascular permeability that ultimately causes edema. Serotonin is clearly involved in early cytotoxic edema after TBI. Reduction of serotonin in the nervous tissue reduces swelling and the milder cell changes in the brain or spinal cord of traumatized rats. Inhibition of serotonin synthesis before closed head injury (CHI) in rat models or administration of serotonin antiserum after injury attenuates BBB disruption and brain edema volume swelling, and brain pathology. Maintaining low serotonin levels immediately after injury may show neuroprotection and combat various secondary outcomes that occur after traumatic brain injury.",book:{id:"10195",title:"Serotonin and the CNS - New Developments in Pharmacology and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/10195.jpg"},signatures:"Priya Badyal, Jaspreet Kaur and Anurag Kuhad"},{id:"76066",title:"Mathematical Models of Serotonin, Histamine, and Depression",slug:"mathematical-models-of-serotonin-histamine-and-depression",totalDownloads:160,totalDimensionsCites:0,doi:"10.5772/intechopen.96990",abstract:"The coauthors have been working together for ten years on serotonin, dopamine, and histamine and their connection to neuropsychiatric illnesses. Hashemi has pioneered many new experimental techniques for measuring serotonin and histamine in real time in the extracellular space in the brain. Best, Reed, and Nijhout have been making mathematical models of brain metabolism to help them interpret Hashemi’s data. Hashemi demonstrated that brain histamine inhibits serotonin release, giving a direct mechanism by which inflammation can cause a decrease in brain serotonin and therefore depression. Many new biological phenomena have come out of their joint research including 1) there are two different reuptake mechanisms for serotonin; 2) the effect of the serotonin autoreceptors is not instantaneous and is long-lasting even when the extracellular concentrations have returned to normal; 3) that mathematical models of serotonin metabolism and histamine metabolism can explain Hashemi’s experimental data; 4) that variation in serotonin autoreceptors may be one of the causes of serotonin-linked mood disorders. Here we review our work in recent years for biological audiences, medical audiences, and researchers who work on mathematical modeling of biological problems. We discuss the experimental techniques, the creation and investigation of mathematical models, and the consequences for neuropsychiatric diseases.",book:{id:"10195",title:"Serotonin and the CNS - New Developments in Pharmacology and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/10195.jpg"},signatures:"Janet Best, Anna Marie Buchanan, Herman Frederik Nijhout, Parastoo Hashemi and Michael C. Reed"},{id:"76224",title:"Roles of the Serotoninergic System in Coping with Traumatic Stress",slug:"roles-of-the-serotoninergic-system-in-coping-with-traumatic-stress",totalDownloads:145,totalDimensionsCites:1,doi:"10.5772/intechopen.97221",abstract:"Post-Traumatic Stress Disorder (PTSD) is characterized by substantial physiological and/or psychological distress following exposure to trauma. Intrusive fear memories often lead to persistent avoidance of stimuli associated with the trauma, detachment from others, irritability and sleep disturbances. Different key structures in the brain are involved with fear conditioning, fear extinction and coping. The limbic system, namely, the amygdala complex in close relationship with the hippocampal hub and the prefrontal cortex play central roles in the integration and in coping with fear memories. Serotonin acting both as a neurotransmitter and as a neurohormone participates in regulating the normal and pathological activity of these anatomic structures. We review the literature analyzing how the different actors of the serotoninergic system (5-HT receptors, transporters and anabolic and catabolic pathways) may be involved in regulating the sensitivity to highly stressful events and hopefully coping with them.",book:{id:"10195",title:"Serotonin and the CNS - New Developments in Pharmacology and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/10195.jpg"},signatures:"Tania Vitalis and Catherine Verney"},{id:"75576",title:"Serotonin, Sleep and Depression: A Hypothesis",slug:"serotonin-sleep-and-depression-a-hypothesis",totalDownloads:253,totalDimensionsCites:0,doi:"10.5772/intechopen.96525",abstract:"For most cases of endogenous depression (major depression), the hypothesis of monoamine deficiency, despite a number of limitations it faces, is still considered the most acceptable explanation. The main difficulty faced by this hypothesis is the reason for the decrease in the level of cerebral monoamines (primarily serotonin) during depression. It is assumed either increased activity of the MAO enzyme, which metabolizes serotonin, or a mutation with the loss of function of the gene of the Tph-2 enzyme, which synthesizes serotonin, as possible causes. In this review, a third cause is proposed, which can explain a number of cases of «spontaneous» onset of depressive symptoms in apparently healthy people, as well as links the hypotheses of “monoamine deficiency” and “disturbances in circadian rhythms.” It is assumed that the formation of endogenous depression is due to a combination of two factors: a reduced “basal” level of cerebral serotonin and excessively long pre-morning periods of REM sleep, during which the release of cerebral monoamines stops altogether. As a possible way to of non-drug treatment of depression, not deprivation, but fragmentation of this phase of sleep is suggested, that is much easier for patients to tolerate.",book:{id:"10195",title:"Serotonin and the CNS - New Developments in Pharmacology and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/10195.jpg"},signatures:"Vladimir M. Kovalzon"},{id:"75797",title:"Serotonin Pathway in Neuroimmune Network",slug:"serotonin-pathway-in-neuroimmune-network",totalDownloads:265,totalDimensionsCites:1,doi:"10.5772/intechopen.96733",abstract:"Once considered merely as a neurotransmitter, serotonin (5-HT) now enjoys a renewed reputation as an interlocutor in the dense and continuous dialogue between neuroendocrine and immune systems. In the last decades, a role has been depicted for serotonin and its derivatives as modulators of several immunological events, due to the expression of specific receptors or enzymes controlling 5-HT metabolism in diverse immune cell types. A growing body of evidence suggests that the effects of molecules belonging to the 5-HT pathways on the neuroimmune communication may be relevant in the clinical outcome of autoimmune/inflammatory pathologies of the central nervous system (CNS), such as multiple sclerosis, but also in Alzheimer’s disease, or in mood disorders and major depression. Moreover, since the predominance of 5-HT is produced by enterochromaffin cells of the gastrointestinal tract, where 5-HT and its derivatives are important mucosal signalling molecules giving rise to the so-called “brain-gut axis”, alterations in brain-gut communication are also involved in the pathogenesis and pathophysiology of several psychiatric and neurologic disorders. Here we illustrate how functional interactions between immune and neuronal cells are crucial to orchestrate tissue homeostasis and integrity, and the role of serotonin pathway components as pillars of the neuroimmune system.",book:{id:"10195",title:"Serotonin and the CNS - New Developments in Pharmacology and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/10195.jpg"},signatures:"Giada Mondanelli and Claudia Volpi"}],onlineFirstChaptersTotal:8},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:99,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:289,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:108,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"6",title:"Infectious Diseases",doi:"10.5772/intechopen.71852",issn:"2631-6188",scope:"This series will provide a comprehensive overview of recent research trends in various Infectious Diseases (as per the most recent Baltimore classification). Topics will include general overviews of infections, immunopathology, diagnosis, treatment, epidemiology, etiology, and current clinical recommendations for managing infectious diseases. Ongoing issues, recent advances, and future diagnostic approaches and therapeutic strategies will also be discussed. This book series will focus on various aspects and properties of infectious diseases whose deep understanding is essential for safeguarding the human race from losing resources and economies due to pathogens.",coverUrl:"https://cdn.intechopen.com/series/covers/6.jpg",latestPublicationDate:"May 26th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:13,editor:{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"3",title:"Bacterial Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/3.jpg",isOpenForSubmission:!1,editor:null,editorTwo:null,editorThree:null},{id:"4",title:"Fungal Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",isOpenForSubmission:!0,editor:{id:"174134",title:"Dr.",name:"Yuping",middleName:null,surname:"Ran",slug:"yuping-ran",fullName:"Yuping Ran",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9d6QAC/Profile_Picture_1630330675373",biography:"Dr. Yuping Ran, Professor, Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China. Completed the Course Medical Mycology, the Centraalbureau voor Schimmelcultures (CBS), Fungal Biodiversity Centre, Netherlands (2006). International Union of Microbiological Societies (IUMS) Fellow, and International Emerging Infectious Diseases (IEID) Fellow, Centers for Diseases Control and Prevention (CDC), Atlanta, USA. Diploma of Dermatological Scientist, Japanese Society for Investigative Dermatology. Ph.D. of Juntendo University, Japan. Bachelor’s and Master’s degree, Medicine, West China University of Medical Sciences. Chair of Sichuan Medical Association Dermatology Committee. General Secretary of The 19th Annual Meeting of Chinese Society of Dermatology and the Asia Pacific Society for Medical Mycology (2013). In charge of the Annual Medical Mycology Course over 20-years authorized by National Continue Medical Education Committee of China. Member of the board of directors of the Asia-Pacific Society for Medical Mycology (APSMM). Associate editor of Mycopathologia. Vice-chief of the editorial board of Chinses Journal of Mycology, China. Board Member and Chair of Mycology Group of Chinese Society of Dermatology.",institutionString:null,institution:{name:"Sichuan University",institutionURL:null,country:{name:"China"}}},editorTwo:null,editorThree:null},{id:"5",title:"Parasitic Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",isOpenForSubmission:!0,editor:{id:"67907",title:"Dr.",name:"Amidou",middleName:null,surname:"Samie",slug:"amidou-samie",fullName:"Amidou Samie",profilePictureURL:"https://mts.intechopen.com/storage/users/67907/images/system/67907.jpg",biography:"Dr. Amidou Samie is an Associate Professor of Microbiology at the University of Venda, in South Africa, where he graduated for his PhD in May 2008. He joined the Department of Microbiology the same year and has been giving lectures on topics covering parasitology, immunology, molecular biology and industrial microbiology. He is currently a rated researcher by the National Research Foundation of South Africa at category C2. He has published widely in the field of infectious diseases and has overseen several MSc’s and PhDs. His research activities mostly cover topics on infectious diseases from epidemiology to control. His particular interest lies in the study of intestinal protozoan parasites and opportunistic infections among HIV patients as well as the potential impact of childhood diarrhoea on growth and child development. He also conducts research on water-borne diseases and water quality and is involved in the evaluation of point-of-use water treatment technologies using silver and copper nanoparticles in collaboration with the University of Virginia, USA. He also studies the use of medicinal plants for the control of infectious diseases as well as antimicrobial drug resistance.",institutionString:null,institution:{name:"University of Venda",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},{id:"6",title:"Viral Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",isOpenForSubmission:!0,editor:{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:5,paginationItems:[{id:"81972",title:"The Submicroscopic Plasmodium falciparum Malaria in Sub-Saharan Africa; Current Understanding of the Host Immune System and New Perspectives",doi:"10.5772/intechopen.105086",signatures:"Kwame Kumi Asare",slug:"the-submicroscopic-plasmodium-falciparum-malaria-in-sub-saharan-africa-current-understanding-of-the-",totalDownloads:0,totalCrossrefCites:null,totalDimensionsCites:null,authors:null,book:{title:"Malaria - Recent Advances, and New Perspectives",coverURL:"https://cdn.intechopen.com/books/images_new/11576.jpg",subseries:{id:"5",title:"Parasitic Infectious Diseases"}}},{id:"81821",title:"Pneumococcal Carriage in Jordanian Children and the Importance of Vaccination",doi:"10.5772/intechopen.104999",signatures:"Adnan Al-Lahham",slug:"pneumococcal-carriage-in-jordanian-children-and-the-importance-of-vaccination",totalDownloads:1,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Streptococcal Infections",coverURL:"https://cdn.intechopen.com/books/images_new/10828.jpg",subseries:{id:"3",title:"Bacterial Infectious Diseases"}}},{id:"81813",title:"Schistosomiasis: Discovery of New Molecules for Disease Treatment and Vaccine Development",doi:"10.5772/intechopen.104738",signatures:"Andressa Barban do Patrocinio",slug:"schistosomiasis-discovery-of-new-molecules-for-disease-treatment-and-vaccine-development",totalDownloads:10,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"New Horizons for Schistosomiasis Research",coverURL:"https://cdn.intechopen.com/books/images_new/10829.jpg",subseries:{id:"5",title:"Parasitic Infectious Diseases"}}},{id:"81644",title:"Perspective Chapter: Ethics of Using Placebo Controlled Trials for Covid-19 Vaccine Development in Vulnerable Populations",doi:"10.5772/intechopen.104776",signatures:"Lesley Burgess, Jurie Jordaan and Matthew Wilson",slug:"perspective-chapter-ethics-of-using-placebo-controlled-trials-for-covid-19-vaccine-development-in-vu",totalDownloads:9,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"SARS-CoV-2 Variants - Two Years After",coverURL:"https://cdn.intechopen.com/books/images_new/11573.jpg",subseries:{id:"6",title:"Viral Infectious Diseases"}}}]},overviewPagePublishedBooks:{paginationCount:13,paginationItems:[{type:"book",id:"6667",title:"Influenza",subtitle:"Therapeutics and Challenges",coverURL:"https://cdn.intechopen.com/books/images_new/6667.jpg",slug:"influenza-therapeutics-and-challenges",publishedDate:"September 19th 2018",editedByType:"Edited by",bookSignature:"Shailendra K. Saxena",hash:"105e347b2d5dbbe6b593aceffa051efa",volumeInSeries:1,fullTitle:"Influenza - Therapeutics and Challenges",editors:[{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}]},{type:"book",id:"7064",title:"Current Perspectives in Human Papillomavirus",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7064.jpg",slug:"current-perspectives-in-human-papillomavirus",publishedDate:"May 2nd 2019",editedByType:"Edited by",bookSignature:"Shailendra K. Saxena",hash:"d92a4085627bab25ddc7942fbf44cf05",volumeInSeries:2,fullTitle:"Current Perspectives in Human Papillomavirus",editors:[{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}]},{type:"book",id:"7123",title:"Current Topics in Neglected Tropical Diseases",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7123.jpg",slug:"current-topics-in-neglected-tropical-diseases",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Alfonso J. Rodriguez-Morales",hash:"61c627da05b2ace83056d11357bdf361",volumeInSeries:3,fullTitle:"Current Topics in Neglected Tropical Diseases",editors:[{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null}]},{type:"book",id:"7839",title:"Malaria",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7839.jpg",slug:"malaria",publishedDate:"December 11th 2019",editedByType:"Edited by",bookSignature:"Fyson H. Kasenga",hash:"91cde4582ead884cb0f355a19b67cd56",volumeInSeries:4,fullTitle:"Malaria",editors:[{id:"86725",title:"Dr.",name:"Fyson",middleName:"Hanania",surname:"Kasenga",slug:"fyson-kasenga",fullName:"Fyson Kasenga",profilePictureURL:"https://mts.intechopen.com/storage/users/86725/images/system/86725.jpg",biography:"Dr. Kasenga is a graduate of Tumaini University, Kilimanjaro Christian Medical College, Moshi, Tanzania and Umeå University, Sweden. He obtained a Master’s degree in Public Health and PhD in Public Health and Epidemiology. He has a background in Clinical Medicine and has taken courses at higher diploma levels in public health from University of Transkei, Republic of South Africa, and African Medical and Research Foundation (AMREF) in Nairobi, Kenya. Dr. Kasenga worked in different places in and outside Malawi, and has held various positions, such as Licensed Medical Officer, HIV/AIDS Programme Officer, HIV/AIDS resource person in the International Department of Diakonhjemet College, Oslo, Norway. He also managed an Integrated HIV/AIDS Prevention programme for over 5 years. He is currently working as a Director for the Health Ministries Department of Malawi Union of the Seventh Day Adventist Church. Dr. Kasenga has published over 5 articles on HIV/AIDS issues focusing on Prevention of Mother to Child Transmission of HIV (PMTCT), including a book chapter on HIV testing counseling (currently in press). Dr. Kasenga is married to Grace and blessed with three children, a son and two daughters: Happy, Lettice and Sungani.",institutionString:"Malawi Adventist University",institution:{name:"Malawi Adventist University",institutionURL:null,country:{name:"Malawi"}}}]}]},openForSubmissionBooks:{},onlineFirstChapters:{paginationCount:18,paginationItems:[{id:"81778",title:"Influence of Mechanical Properties of Biomaterials on the Reconstruction of Biomedical Parts via Additive Manufacturing Techniques: An Overview",doi:"10.5772/intechopen.104465",signatures:"Babatunde Olamide Omiyale, Akeem Abiodun Rasheed, Robinson Omoboyode Akinnusi and Temitope Olumide Olugbade",slug:"influence-of-mechanical-properties-of-biomaterials-on-the-reconstruction-of-biomedical-parts-via-add",totalDownloads:1,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11405.jpg",subseries:{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering"}}},{id:"81751",title:"NanoBioSensors: From Electrochemical Sensors Improvement to Theranostic Applications",doi:"10.5772/intechopen.102552",signatures:"Anielle C.A. Silva, Eliete A. Alvin, Lais S. de Jesus, Caio C.L. de França, Marílya P.G. da Silva, Samaysa L. Lins, Diógenes Meneses, Marcela R. Lemes, Rhanoica O. Guerra, Marcos V. da Silva, Carlo J.F. de Oliveira, Virmondes Rodrigues Junior, Renata M. Etchebehere, Fabiane C. de Abreu, Bruno G. Lucca, Sanívia A.L. Pereira, Rodrigo C. Rosa and Noelio O. Dantas",slug:"nanobiosensors-from-electrochemical-sensors-improvement-to-theranostic-applications",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Biosignal Processing",coverURL:"https://cdn.intechopen.com/books/images_new/11153.jpg",subseries:{id:"7",title:"Bioinformatics and Medical Informatics"}}},{id:"81766",title:"Evolution of Organoids in Oncology",doi:"10.5772/intechopen.104251",signatures:"Allen Thayakumar Basanthakumar, Janitha Chandrasekhar Darlybai and Jyothsna Ganesh",slug:"evolution-of-organoids-in-oncology",totalDownloads:8,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Organoids",coverURL:"https://cdn.intechopen.com/books/images_new/11430.jpg",subseries:null}},{id:"81678",title:"Developmental Studies on Practical Enzymatic Phosphate Ion Biosensors and Microbial BOD Biosensors, and New Insights into the Future Perspectives of These Biosensor Fields",doi:"10.5772/intechopen.104377",signatures:"Hideaki Nakamura",slug:"developmental-studies-on-practical-enzymatic-phosphate-ion-biosensors-and-microbial-bod-biosensors-a",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:[{name:"Hideaki",surname:"Nakamura"}],book:{title:"Biosignal Processing",coverURL:"https://cdn.intechopen.com/books/images_new/11153.jpg",subseries:{id:"7",title:"Bioinformatics and Medical Informatics"}}},{id:"81547",title:"Organoids and Commercialization",doi:"10.5772/intechopen.104706",signatures:"Anubhab Mukherjee, Aprajita Sinha, Maheshree Maibam, Bharti Bisht and Manash K. Paul",slug:"organoids-and-commercialization",totalDownloads:35,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Organoids",coverURL:"https://cdn.intechopen.com/books/images_new/11430.jpg",subseries:null}},{id:"81412",title:"Mathematical Morphology and the Heart Signals",doi:"10.5772/intechopen.104113",signatures:"Taouli Sidi Ahmed",slug:"mathematical-morphology-and-the-heart-signals",totalDownloads:20,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Biosignal Processing",coverURL:"https://cdn.intechopen.com/books/images_new/11153.jpg",subseries:{id:"7",title:"Bioinformatics and Medical Informatics"}}},{id:"81360",title:"Deep Learning Algorithms for Efficient Analysis of ECG Signals to Detect Heart Disorders",doi:"10.5772/intechopen.103075",signatures:"Sumagna Dey, Rohan Pal and Saptarshi Biswas",slug:"deep-learning-algorithms-for-efficient-analysis-of-ecg-signals-to-detect-heart-disorders",totalDownloads:32,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Biosignal Processing",coverURL:"https://cdn.intechopen.com/books/images_new/11153.jpg",subseries:{id:"7",title:"Bioinformatics and Medical Informatics"}}},{id:"81294",title:"Applications of Neural Organoids in Neurodevelopment and Regenerative Medicine",doi:"10.5772/intechopen.104044",signatures:"Jing Gong, Jiahui Kang, Minghui Li, Xiao Liu, Jun Yang and Haiwei Xu",slug:"applications-of-neural-organoids-in-neurodevelopment-and-regenerative-medicine",totalDownloads:26,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Organoids",coverURL:"https://cdn.intechopen.com/books/images_new/11430.jpg",subseries:null}},{id:"81318",title:"Retinal Organoids over the Decade",doi:"10.5772/intechopen.104258",signatures:"Jing Yuan and Zi-Bing Jin",slug:"retinal-organoids-over-the-decade",totalDownloads:42,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Organoids",coverURL:"https://cdn.intechopen.com/books/images_new/11430.jpg",subseries:null}},{id:"81068",title:"Characteristic Profiles of Heart Rate Variability in Depression and Anxiety",doi:"10.5772/intechopen.104205",signatures:"Toshikazu Shinba",slug:"characteristic-profiles-of-heart-rate-variability-in-depression-and-anxiety",totalDownloads:20,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Biosignal Processing",coverURL:"https://cdn.intechopen.com/books/images_new/11153.jpg",subseries:{id:"7",title:"Bioinformatics and Medical Informatics"}}}]},subseriesFiltersForOFChapters:[{caption:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",value:9,count:1,group:"subseries"},{caption:"Bioinformatics and Medical Informatics",value:7,count:13,group:"subseries"}],publishedBooks:{paginationCount:0,paginationItems:[]},subseriesFiltersForPublishedBooks:[],publicationYearFilters:[],authors:{paginationCount:25,paginationItems:[{id:"429683",title:"Dr.",name:"Bilal",middleName:null,surname:"Khalid",slug:"bilal-khalid",fullName:"Bilal Khalid",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/429683/images/system/429683.png",biography:"Dr. Bilal Khalid received a Ph.D. in Industrial Business Administration from KMITL Business School, Bangkok, in 2021, and a master’s in International Business Management from Stamford International University, Bangkok, in 2017. Dr. Khalid\\'s research interests include leadership and negotiations, digital transformations, gamification, eLearning, blockchain, Big Data, and management of information technology. Dr. Bilal Khalid also serves as an academic editor at Education Research International and a reviewer for international journals.",institutionString:"KMITL Business School",institution:{name:"King Mongkut's Institute of Technology Ladkrabang",country:{name:"Thailand"}}},{id:"418514",title:"Dr.",name:"Muhammad",middleName:null,surname:"Mohiuddin",slug:"muhammad-mohiuddin",fullName:"Muhammad Mohiuddin",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000038UqSfQAK/Profile_Picture_2022-05-13T10:39:03.jpg",biography:"Dr. Muhammad Mohiuddin is an Associate Professor of International Business at Laval University, Canada. He has taught at Thompson Rivers University, Canada; University of Paris-Est, France; Osnabruck University of Applied Science, Germany; and Shanghai Institute of Technology and Tianjin University of Technology, China. He has published research in Research Policy, Applied Economics, Review of Economic Philosophy, Strategic Change, International Journal of Logistics, Sustainability, Journal of Environmental Management, Journal of Global Information Management, Journal of Cleaner Production, M@N@GEMENT, and more. He is a member of CEDIMES Institut (France), Academy of International Business (AIB), Strategic Management Society (SMS), Academy of Management (AOM), Administrative Science Association of Canada (ASAC), and Canadian council of small business and entrepreneurship (CCSBE). He is currently the director of the Research Group on Contemporary Asia (GERAC) at Laval University. He is also co-managing editor of Transnational Corporations Review and a guest editor for Electronic Commerce Research and Journal of Internet Technology.",institutionString:"Université Laval",institution:{name:"Université Laval",country:{name:"Canada"}}},{id:"189147",title:"Dr.",name:"Hailan",middleName:null,surname:"Salamun",slug:"hailan-salamun",fullName:"Hailan Salamun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/189147/images/19274_n.jpeg",biography:"Hailan Salamun, (Dr.) was born in Selangor, Malaysia and graduated from Tunku Ampuan Jamaah Religious High School at Shah Alam. Obtained a degree from the International Islamic University (UIA), Gombak in the field of Islamic Revealed Knowledge and Heritage. Next, I furthered my studies to the professional level to obtain a Diploma in Education at UIA. After serving for several years in school, I furthered my studies to the Master of Dakwah and Leadership at Universiti Kebangsaan Malaysia (UKM), Bangi. I graduated with a Doctor of Philosophy in Principalship Leadership from the University of Malaya (UM) in 2010. I am currently a senior lecturer in the Department of Nationalism and Civilization, Center for Basic and Continuing Education, Universiti Malaysia Terengganu. Prior to that, I had served in several educational institutions such as schools, the Institute of Teacher Education (IPG), and also the University of Malaya. I am also actively involved in paper presentation, writing and publishing. My research interests are focused on leadership, education, society and Islamic civilization. This area of research requires a detailed understanding of Islamic studies and research studies in leadership. Another research interest that I have explored recently is the politics of the Malay community and also the leadership of the mosque.",institutionString:null,institution:{name:"Universiti Malaysia Terengganu",country:{name:"Malaysia"}}},{id:"442081",title:"Dr.",name:"Audrey",middleName:null,surname:"Addy",slug:"audrey-addy",fullName:"Audrey Addy",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Kwame Nkrumah University of Science and Technology",country:{name:"Ghana"}}},{id:"437993",title:"Mr.",name:"Job",middleName:null,surname:"Jackson",slug:"job-jackson",fullName:"Job Jackson",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Management College of Southern Africa",country:{name:"South Africa"}}},{id:"428495",title:"Prof.",name:"Asyraf",middleName:null,surname:"Ab Rahman",slug:"asyraf-ab-rahman",fullName:"Asyraf Ab Rahman",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universiti Malaysia Terengganu",country:{name:"Malaysia"}}},{id:"429650",title:"Dr.",name:"Jacqueline",middleName:null,surname:"Kareem",slug:"jacqueline-kareem",fullName:"Jacqueline Kareem",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Christ University",country:{name:"India"}}},{id:"421041",title:"Dr.",name:"Sunil",middleName:null,surname:"Kumar Ramdas",slug:"sunil-kumar-ramdas",fullName:"Sunil Kumar Ramdas",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Jain University",country:{name:"India"}}},{id:"421833",title:"Mr.",name:"Eugene",middleName:null,surname:"Owusu-Acheampong",slug:"eugene-owusu-acheampong",fullName:"Eugene Owusu-Acheampong",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Ghana",country:{name:"Ghana"}}},{id:"239876",title:"Ph.D.",name:"Luciana",middleName:null,surname:"Mourão",slug:"luciana-mourao",fullName:"Luciana Mourão",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universidade Salgado de Oliveira",country:{name:"Brazil"}}},{id:"421735",title:"Dr.",name:"elizabeth",middleName:null,surname:"addy",slug:"elizabeth-addy",fullName:"elizabeth addy",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"442083",title:"Dr.",name:"James",middleName:null,surname:"Addy",slug:"james-addy",fullName:"James Addy",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"437991",title:"Prof.",name:"Muhammad",middleName:null,surname:"Hoque",slug:"muhammad-hoque",fullName:"Muhammad Hoque",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"421006",title:"Dr.",name:"Anna",middleName:null,surname:"Uster",slug:"anna-uster",fullName:"Anna Uster",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"470243",title:"Dr.",name:"Md Samim",middleName:null,surname:"Al Azad",slug:"md-samim-al-azad",fullName:"Md Samim Al Azad",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"470244",title:"Dr.",name:"Slimane",middleName:null,surname:"Ed-dafali",slug:"slimane-ed-dafali",fullName:"Slimane Ed-dafali",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"421011",title:"Dr.",name:"Afatakpa",middleName:null,surname:"Fortune",slug:"afatakpa-fortune",fullName:"Afatakpa Fortune",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"446057",title:"Mr.",name:"Okedare",middleName:null,surname:"David Olubukunmi",slug:"okedare-david-olubukunmi",fullName:"Okedare David Olubukunmi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"421778",title:"Dr.",name:"Fatimah",middleName:"Saeed",surname:"AlAhmari",slug:"fatimah-alahmari",fullName:"Fatimah AlAhmari",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"421024",title:"Prof.",name:"Harold Andrew",middleName:null,surname:"Patrick",slug:"harold-andrew-patrick",fullName:"Harold Andrew Patrick",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"421065",title:"Ms.",name:"Euzália",middleName:null,surname:"do Rosário Botelho Tomé",slug:"euzalia-do-rosario-botelho-tome",fullName:"Euzália do Rosário Botelho Tomé",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"421053",title:"Associate Prof.",name:"Ken",middleName:null,surname:"Kalala Ndalamba",slug:"ken-kalala-ndalamba",fullName:"Ken Kalala Ndalamba",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"421826",title:"Dr.",name:"Inusah",middleName:null,surname:"Salifu",slug:"inusah-salifu",fullName:"Inusah Salifu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"420823",title:"Prof.",name:"Gardênia da Silva",middleName:null,surname:"Abbad",slug:"gardenia-da-silva-abbad",fullName:"Gardênia da Silva Abbad",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"437613",title:"MSc.",name:"Juliana",middleName:null,surname:"Legentil",slug:"juliana-legentil",fullName:"Juliana Legentil",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null}]}},subseries:{item:{id:"86",type:"subseries",title:"Business and Management",keywords:"Demographic shifts, Innovation, Technology, Next-gen leaders, Worldwide environmental issues and clean technology, Uncertainty and political risks, Radical adjacency, Emergence of new business ecosystem type, Emergence of different leader and leader values types, Universal connector, Elastic enterprise, Business platform, Supply chain complexity",scope:"