Neuroprotective mechanisms exerted by diverse therapies.
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Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
\n\nThis achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
\n\nWe are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
\n\nThank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
\n\n\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"9050",leadTitle:null,fullTitle:"Hypnotherapy and Hypnosis",title:"Hypnotherapy and Hypnosis",subtitle:null,reviewType:"peer-reviewed",abstract:"Although hypnosis has been used for centuries to improve mental health and well-being, not until recently has it been applied in modern medicine. Some efforts to integrate hypnosis into Western medical practice in the late nineteenth century were met with stiff resistance by the majority of medical doctors due to lack of scientific foundation, thus hampering its widespread use. The biopsychosocial approach brought about by recent progress in brain research, however, has revived the interest in hypnotherapy. In this book, we shed light on the scientific basis of hypnosis and elaborate its use in modern medical practice.",isbn:"978-1-83962-765-1",printIsbn:"978-1-83962-764-4",pdfIsbn:"978-1-83962-766-8",doi:"10.5772/intechopen.83045",price:119,priceEur:129,priceUsd:155,slug:"hypnotherapy-and-hypnosis",numberOfPages:144,isOpenForSubmission:!1,isInWos:1,isInBkci:!1,hash:"f5686a1d5917736fa774b2f46e7da8a5",bookSignature:"Cengiz Mordeniz",publishedDate:"December 2nd 2020",coverURL:"https://cdn.intechopen.com/books/images_new/9050.jpg",numberOfDownloads:4539,numberOfWosCitations:2,numberOfCrossrefCitations:9,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:14,numberOfDimensionsCitationsByBook:0,hasAltmetrics:1,numberOfTotalCitations:25,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 17th 2019",dateEndSecondStepPublish:"February 13th 2020",dateEndThirdStepPublish:"April 13th 2020",dateEndFourthStepPublish:"July 2nd 2020",dateEndFifthStepPublish:"August 31st 2020",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"214664",title:"Associate Prof.",name:"Cengiz",middleName:null,surname:"Mordeniz",slug:"cengiz-mordeniz",fullName:"Cengiz Mordeniz",profilePictureURL:"https://mts.intechopen.com/storage/users/214664/images/system/214664.jpeg",biography:"Cengiz Mordeniz is an associate professor at the Department of Anesthesiology and Intensive Care and Pain Medicine at Namık Kemal University, Turkey. He is the founder of the Traditional and Complementary Medical Center at The University Hospital where he also works. He obtained specialization in Anesthesiology and Intensive Care at Istanbul University and a master’s degree in Forensic Medicine and Clinical Deontology at Acibadem University, Turkey. He pursued research and clinical practice at Rigs Hospitalet, Denmark; Heidelberg and Giessen Universities, Germany; and Plovdiv University, Bulgaria. He was trained at Moscow Quantum Medicine Academy, Russia, and School of Advanced International Studies on Applied Theoretical and Non-Linear Methodologies of Physics, Italy. He completed the Clinical Research Program at Harvard University. He is a member of HeartMath Institute, USA.",institutionString:"Namık Kemal University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Namık Kemal University",institutionURL:null,country:{name:"Turkey"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"240",title:"Psychotherapy",slug:"psychotherapy"}],chapters:[{id:"74034",title:"Hypnosis and Hypnotherapy: Emerging of Science-Based Hypnosis",doi:"10.5772/intechopen.94089",slug:"hypnosis-and-hypnotherapy-emerging-of-science-based-hypnosis",totalDownloads:698,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:1,abstract:"Hypnosis, which has been used for centuries in different forms, has to be reevaluated in the light of modern medicine and science by biological, psychological, sociological and spiritual approach. Hypnosis has been regaining its popularity in the trend of personalized and holistic medicine without any drug, injection or side effects.",signatures:"Cengiz Mordeniz",downloadPdfUrl:"/chapter/pdf-download/74034",previewPdfUrl:"/chapter/pdf-preview/74034",authors:[{id:"214664",title:"Associate Prof.",name:"Cengiz",surname:"Mordeniz",slug:"cengiz-mordeniz",fullName:"Cengiz Mordeniz"}],corrections:null},{id:"71429",title:"Hypnosis and Hypnotherapy: The Role of Traditional Versus Alternative Approach",doi:"10.5772/intechopen.91619",slug:"hypnosis-and-hypnotherapy-the-role-of-traditional-versus-alternative-approach",totalDownloads:1059,totalCrossrefCites:1,totalDimensionsCites:3,hasAltmetrics:1,abstract:"Hypnosis is a state of mind that is characterized by focused attention and heightened receptivity for suggestions. It is either established by compliance with instructions or achieved naturally; the critical nature of the mind is bypassed during hypnosis and acceptable suggestions are delivered. Misperceptions about hypnosis by clinical practitioners and their clients have been shaped through years of inaccurate but interesting portrayals of hypnosis in books, plays, and movies. Part of the misperceptions is that individuals with seemingly magical powers to manipulate the unsuspecting innocent with their authoritative voice commands and penetrating eyes are depicted as hypnotists. This chapter will review the traditional and conventional approaches used in hypnosis, their advantages and disadvantages as well as where hypnosis is used as a complementary or alternative therapy to the modern day orthodox medicine. Despite the pejorative image display of hypnosis and misconceptions surrounding it, hypnosis still has numerous applications in contemporary medicine. Hypnotherapy conducted by a trained therapist is considered as a complementary or safe alternative to present day orthodox medication for numerous ailments.",signatures:"Mikail Hudu Garba and Mohammed Mamman",downloadPdfUrl:"/chapter/pdf-download/71429",previewPdfUrl:"/chapter/pdf-preview/71429",authors:[null],corrections:null},{id:"72454",title:"The Integrative Theory of Hypnosis in the Light of Clinical Hypnotherapy",doi:"10.5772/intechopen.92761",slug:"the-integrative-theory-of-hypnosis-in-the-light-of-clinical-hypnotherapy",totalDownloads:732,totalCrossrefCites:1,totalDimensionsCites:3,hasAltmetrics:0,abstract:"The chapter describes the author’s integrative theory of hypnosis and hypnotherapy (ITHH) and the universal hypnotherapy (UH) method. The ITHH contains neurophysiological, biological, and communicative components. (1) Hypnosis is triggered by symbolical hypnogenic situations of inability of decision-making and/or its behavioral realization. Hypnosis development results in qualitative reorganization of the brain activation system functioning from distribution to generation of activity. Hypnosis deepening is based on the increase of brain activation. Hypnosis development in right-handers is associated with a regressive reorganization of the left hemisphere to the right hemisphere functioning mode, with whole brain functioning on right hemispheric principle. (2) Hypnotization generates hypnogenic stress. Hypnotherapy activates a readaptation process, including neurohormonal, neurotransmitter secretions; activation of the immunological and biochemical responses; and spontaneous change of pain sensation. (3) Hypnotic communication styles (directive, non-directive) are (i) changing due to historical evolution of social communication styles and (ii) indirectly using the representations about hypnosis. The UH utilizes the ITHH, being close to the positive and mindfulness psychotherapeutic approaches. The complex of UH and psycho-education formed positive-dialogue psychotherapy (PDP) for the treatment of anxiety disorders. The randomized clinical trial of PDP efficiency in the therapy of panic and generalized anxiety disorders confirmed high clinical efficiency and the mindfulness effect of UH.",signatures:"Rashit Tukaev",downloadPdfUrl:"/chapter/pdf-download/72454",previewPdfUrl:"/chapter/pdf-preview/72454",authors:[null],corrections:null},{id:"72464",title:"Inner Navigation and Theta Activity: From Movement to Cognition and Hypnosis According to the Sphere Model of Consciousness",doi:"10.5772/intechopen.92755",slug:"inner-navigation-and-theta-activity-from-movement-to-cognition-and-hypnosis-according-to-the-sphere-",totalDownloads:663,totalCrossrefCites:6,totalDimensionsCites:7,hasAltmetrics:0,abstract:"EEG theta (4–7 Hz) activity is closely related to hypnosis and hypnotic analgesia, as well as to meditation and absorption. Research further indicates that theta oscillatory power is involved in different cognitive functions, such as spatial navigation, memory, creativity, and divided attention. The current manuscript will provide a synthesis of current knowledge regarding the importance of theta’s different roles in relation to hypnosis and their connections to movement. Indeed, several movement paradigms, such as Quadrato Motor Training, have been found to modulate theta activity, significantly improving cognition and emotional well-being. The utility of such movement paradigms as a therapeutic vehicle closely related to hypnosis, and the underlying characteristics allowing these neuromodulations, will be discussed. Finally, the relationships between diagonal movement and other psychological phenomena, especially intentionality, attention, and the Sphere Model of Consciousness, will be highlighted.",signatures:"Patrizio Paoletti, Tal Dotan Ben-Soussan and Joseph Glicksohn",downloadPdfUrl:"/chapter/pdf-download/72464",previewPdfUrl:"/chapter/pdf-preview/72464",authors:[null],corrections:null},{id:"71426",title:"Cognitive Hypnotherapy",doi:"10.5772/intechopen.91327",slug:"cognitive-hypnotherapy",totalDownloads:738,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Cognitive hypnotherapy (CH) is an assimilative therapy rooted in cognitive therapy and behavioural therapy, with the addition of hypnosis. It is a psychodynamic therapy that focuses on the unconscious mind (implicit thoughts, actions and emotions) no longer in conscious awareness. This chapter gives a brief synopsis of the hypnotic procedures and protocols that are most pertinent for understanding the case for integration. It gives the background of cognitive behavioural therapy (CBT) and a brief history of how this therapy evolved. It further gives the rationale for the integration of hypnosis with CBT, corroborated with evidence from the literature. CH treatments are documented in some detail in a number of different domains where hypnosis is used as an adjunct to therapy for the treatment of debilitating psychological conditions. The techniques and procedures are designed to desensitise and reprocess dysfunctional cognitions, emotions and memories enabling positive change in cognitive perceptions and visualisation. The author, an academic and experienced clinical practitioner of CH for more than 10 years, recognises that there is much scepticism regarding this therapy. It is hoped that this review will give greater understanding and more credence to this highly effective therapy in both the scientific community and medical profession.",signatures:"Elizabeth Brooker",downloadPdfUrl:"/chapter/pdf-download/71426",previewPdfUrl:"/chapter/pdf-preview/71426",authors:[null],corrections:null},{id:"72045",title:"Active-Alert Hypnosis to Achieve Personal, Professional, and Therapeutic Goals",doi:"10.5772/intechopen.92197",slug:"active-alert-hypnosis-to-achieve-personal-professional-and-therapeutic-goals",totalDownloads:650,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Hypnosis does not always require suggestions of relaxation in order enter into this state. It can also be induced through suggestions of activation and cognitive alertness. This procedure and the hypnotic state caused by it has been called active-alert hypnosis (AAH). In this chapter, we describe a strategy to increase the probability to achieve goals using an AAH technique in which we ask the patient to move his arms in an alternate way, while imagining that he has a pair of dumbbells of several kilograms in each hand, in order to produce a hypnotic age progression phenomenon, in which the patient is oriented to a positive future and mobilizing hope, and could see himself achieving his goals, creating “memories of the future.” We report several clinical cases in which this hypnotic strategy was used.",signatures:"Arnoldo Téllez, Arturo Valdez and Teresa Sánchez-Jáuregui",downloadPdfUrl:"/chapter/pdf-download/72045",previewPdfUrl:"/chapter/pdf-preview/72045",authors:[null],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"8323",title:"Traditional and Complementary Medicine",subtitle:null,isOpenForSubmission:!1,hash:"60eadb1783d9bba245687adf284d4871",slug:"traditional-and-complementary-medicine",bookSignature:"Cengiz Mordeniz",coverURL:"https://cdn.intechopen.com/books/images_new/8323.jpg",editedByType:"Edited by",editors:[{id:"214664",title:"Associate Prof.",name:"Cengiz",surname:"Mordeniz",slug:"cengiz-mordeniz",fullName:"Cengiz Mordeniz"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9136",title:"Counseling and Therapy",subtitle:null,isOpenForSubmission:!1,hash:"499608b1cf8111827e1a271e5555a6a6",slug:"counseling-and-therapy",bookSignature:"Simon George Taukeni",coverURL:"https://cdn.intechopen.com/books/images_new/9136.jpg",editedByType:"Edited by",editors:[{id:"202046",title:"Dr.",name:"Simon George",surname:"Taukeni",slug:"simon-george-taukeni",fullName:"Simon George Taukeni"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,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"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,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"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,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"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,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. 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\r\n\tLorem ipsum dolor sit amet, consectetur adipiscing elit. In at mauris lobortis, dapibus justo nec, suscipit lacus. Fusce tincidunt et sapien in congue. Sed rhoncus neque non dapibus auctor. Pellentesque non viverra dui, a tincidunt sapien. Fusce maximus mauris diam, et eleifend neque tincidunt quis. Interdum et malesuada fames ac ante ipsum primis in faucibus. Vestibulum et leo eget nisl varius rutrum sed in nulla. Nullam a finibus enim, nec rhoncus felis. Quisque ut imperdiet nunc, sed facilisis dui. Nulla molestie semper viverra. Aliquam pharetra magna ex, in vestibulum arcu condimentum in. Nulla ut felis porttitor, tincidunt dui at, imperdiet eros. Nam malesuada imperdiet tellus. Etiam id dolor efficitur, elementum tortor vel, eleifend sem.
\r\n\r\n\tEtiam quis lacus lacinia, ullamcorper massa sed, bibendum arcu. Curabitur tempor lacus at leo cursus sagittis. Nullam eleifend eleifend blandit. Nunc eget neque nisl. Nam nisi dolor, finibus non facilisis non, consequat vitae urna. Nunc non ligula augue. Nullam eros erat, mollis eget mattis id, ornare fringilla tellus.
\r\n\r\n\tDuis bibendum suscipit purus, eu cursus nisl malesuada sed. Maecenas ornare, magna ac finibus tristique, leo nisl bibendum justo, vel ultrices erat mauris placerat massa. Suspendisse feugiat nunc erat. Integer fringilla vitae lectus eu feugiat. Suspendisse sodales ligula quis nisl tempus, sit amet congue felis commodo. Aliquam erat volutpat. Suspendisse eu libero commodo, dapibus dui ultrices, vehicula nunc. Donec condimentum tortor in nibh pulvinar, quis iaculis augue fringilla.
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Both of these diseases are the first cause of permanent disabilities in adults, primarily in developed countries, where 30% of patients that have suffered from stroke become incapable of performing their daily routines [1]. Stroke is, in addition, among the first three causes of premature death worldwide; according to the World Health Organization (WHO), 6.7 million deaths were caused by cerebral ischemia in 2012, as well as 46% of deaths being caused by stroke and ischemic heart disease altogether, with mayor incidence in low-income countries, with 80% of cases [2]. As for the United States (which has the most available information), the American Heart Association (AHA) reported in an updated statistics report that the death rates associated with stroke have been dropping over the years, and from 2009 to 2012, the prevalence is estimated in 2.6% with an incidence of almost 800,000 cases a year, one every 40 s [3]. And according to the Center for Disease Control (CDC), there is one death out of every 20 stroke cases, or one every 4 min [4]. On the other hand, European countries experience dramatic differences in disease burden. The EuroHOPE study performed on data from 2007 observed higher incidence of ischemic stroke in Hungary, and Finland and less in Scotland and Sweden and different mortality rates among regions in different countries [5].
\nThe incidence and prevalence of stroke and its recurrence continue to be high due to the low attention and awareness to symptoms which create delay in the seeking of medical attention, allowing damage to progress. People are not aware that time is critical for stroke treatment due to the short therapeutic window of available treatments. Disabilities and dependence among patients tend to get worse in the 6–12 months following stroke; mobility and functionality related to dressing and toileting are the most affected, and deterioration is related to prior-to-stroke comorbidities [6]. Depression is one of the major outcomes and is associated with stroke recurrence [7].
\nThere are a vast array of risk factors associated with cerebrovascular diseases and specifically to cerebral ischemia. The most common are chronic diseases that could be modified through behavioral and lifestyle changes or pharmacological treatment such as diabetes, hypertension, obesity, and atherosclerosis; besides, alcoholism and tabaquism, high salt consumption, and sedentarism are behaviors that are associated with a greater risk of developing stroke [2]. On the other hand, there are a series of risk factors that cannot be controlled and predispose a person to cerebral ischemia: they are age, gender, and ethnicity. For instance, postmenopausal women have greater risk of developing stroke than men the same age, but premenopausal women are protected by estrogenic hormones [8, 9]. It has also been reported in 2010 by the Global Burden of Disease (GBD) that 31% of strokes are among young adults (20–64 years of age) and strokes are common in people below 45 years of age [10]. Non-Caucasians are also at greater risk of stroke than Caucasians [8].
\nUsually, when speaking about stroke, two stages of damage to the integrity of the neural tissue are considered. The first stage is the lesion
Nonetheless, inflammation previously contributes to the development of stroke, since people who suffer from chronic proinflammatory state diseases like hypertension, dyslipidemia, atherosclerosis, and type-two diabetes have endothelial alterations, as well as irregularities in rheology and hemodynamics [11]. Galectin-3 (GAL-3) concentration is increased in these patients; this protein favors atherosclerotic plaque formation and might participate in the development of cerebrovascular disease [12] GAL-3 is also a very important inflammatory and fibrogenic mediator [13, 14]. Interleukin-1β (IL-1β) is a proinflammatory cytokine that has been related to atherosclerotic plaque formation and vascular inflammation [15]; other factors have also been associated with it, such as Von Willebrand coagulation factor, selectin E, and others [16].
\nAtherosclerotic plaque is characterized by accumulation of molecules of cholesterol and low-density lipoproteins (LDL) in the vessel walls, after being oxidized they chemo-attract monocytes to the site, and they phagocytose these oxidized LDL, which in turn causes them to become foam cells. Foam cells loaded with high amounts of LDL stay trapped in the endothelium and suffer from apoptosis and necrosis. This situation generates a lipidic plaque covered by connective tissue and are infiltrated by activated T cells, macrophages and mastocytes that will chronically produce inflammatory mediators in the endothelial wall [17]. Oxidized cell and molecule accumulation generate endothelial wall activation, thus promoting adhesion molecule expression and easing immune cell aggregation.
\nSeveral investigators consider that the severity of endothelial inflammation can imply differences in atherosclerotic plaque rupture vulnerability, which will contribute to the development of ischemia in the surrounding tissue. For this reason, the use of imaging technology such as Computerized axial tomography Computerized axial tomography(CAT);Positron emission tomography (PET) scan, MRI, and Positron emission tomography (PET), has been considered in order to identify the degree of endothelial inflammation and to assess risk of developing an ischemic event [18].
\nStroke originates from either a reduction in the arterial lumen, or the release of a thrombus that becomes trapped in a major artery, most commonly the middle cerebral artery (MCA). This occlusion causes diminished blood flow to the site irrigated specifically by that vessel and so glucose and oxygen supply will stop, triggering metabolic insufficiency. The incapacity for glucose to reach the cells causes a decrease in adenosine triphosphate (ATP) production which interferes with Na+ and K+ pump function; in light of this, intracellular K+ decreases dramatically causing membrane depolarization [19], and thus, further voltage-dependent Ca2+ channel dysfunction and opening, unlocking of some CA2++ receptor-dependent channels, Na+/Ca2+ channels from cellular and mitochondrial membrane, and CA2+ pump deterioration in cell membrane, and endoplasmic reticulum [20].
\nAll of these events triggered by membrane depolarization drive a secretion of excitatory neurotransmitters, especially glutamate that upon binding to its receptors induces greater depolarization and glutamate release, giving rise to the excitotoxicity phenomenon [21]. The massive amounts of calcium will activate a series of enzymes (e.g., calpaines, phospholipases, and endonucleases), and free radicals that in turn lead to neuronal death.
\nOn the other hand, the proinflammatory milieu that is present in the occluded vessel endothelium is lacking in oxygen and altogether with the changes in vascular pressure generate a major reactive oxygen species (ROS) production [22] that promotes higher expression of: Matrix metalloproteinases 2 and 9 (MMP 2 and 9) that digest the basal endothelial sheet [23] and cyclooxygenase 2 (COX-2) and subsequent prostanoid production [24]. Increased ROS production also cause complement and endothelial cell activation that promotes the secretion of proinflammatory mediators such as IL-1 and IL-6, and increased expression of intercellular adhesion molecule (ICAM), vascular adhesion molecule (VCAM), and leukocyte adhesion receptors such as selectins P, E, and L; all this promotes leukocyte adherence and extravasation [25].
\nWhen, or if the occlusion is not permanent, the vessel experiences reperfusion (spontaneously or after treatment). During this process blood flow is restored, thus once again providing glucose and oxygen to the already injured tissue. This situation worsens neural tissue damage as a result of an increase in substrate availability that causes an increment of free radical production, lipoperoxidation, and a rise in cell death protein activation, as well as adhesion molecules [26] and metabolic detriment [27].
\nAs free radicals such as nitric oxide (NO) and ROS increase, they interact with their target molecules and activate mechanisms such as apoptosis, arachidonic acid metabolism, and respiratory chain inhibition that, as a consequence, increase inflammatory mediators [26, 27] that contribute to the secondary degeneration.
\nAlthough it is worth mentioning that the amount of neural damage depends on how long the vessel is occluded, since it has been observed in several studies that early reperfusion reduces infarct sizes [27].
\nMicroglia is specialized macrophages that live in the cerebral parenchyma, when at rest or quiescent, these normally exhibit a phenotype characterized by thin processes. These cells are also very sensitive to changes in the cerebral milieu since their primary functions are to eliminate cell debris from apoptosis [28], regulate neural synapses [29], neurogenesis [30], trophic factor production [30], inflammatory process [31], damaged cell phagocytosis, and the repair and remodeling processes of the central nervous system (CNS) [32].
\nDuring early stages of ischemia, when there is a progressive decrease in oxygen and ATP in the cerebral parenchyma, glial cells release molecules such as lipocalin 2 (LCN2) [33] and IL-4 [34] secreted by neurons as an immediate response to injury. These molecules are capable of activating microglia and induce a protective M2 phenotype characterized by the production of anti-inflammatory cytokines IL-10, IL-4, and increased phagocytosis [33]. This phenotype has been observed during the first 7 days post-ischemia; it reaches it max peak at 3–5 days, and decreases by day 14, suggesting that microglia promotes neuronal survival during this first stage by attempting to reduce inflammatory mediator release by synthesizing transforming growth factor-β (TGF-β), arg-1, and CD206 [35, 36], apart from producing growth factors such as insulin-like growth factor-1 (IGF-1) and ciliary neurotrophic factor (CNTF) that facilitate mechanisms of repair [34].
\nWhile the milieu changes from day 3 through day 14 post ischemia toward high concentrations of Ca2+, free radicals, glutamate, and debris from neuronal necrosis, microglial phenotype gradually changes from M2 to M1, and begins to express genes such as nitric oxide synthase (INOS), CD16 and CD32 as well surface markers such as CD11b and MCHII [36]. M1 phenotype is distinguished by a decrease in phagocytosis activity and an increase in the production of proinflammatory mediators: IL-1β, IL-6, and tumor necrosis factor α (TNF-α) and an increase in NO, H2O2, ROS, MMPs, and chemokines such as CXCL10, CCL2, MCP-1, CXCL1, and CCL5 [35, 37]; through the Notch pathway signaling [38], all of which propitiate the support for a proinflammatory milieu.
\nThis polarization of microglial activation gives rise to the opportunity to search for ways to modulate it in order to induce an M2 phenotype and through it, be able to get the beneficial effects of an anti-inflammatory milieu, accompanied by trophic factors that ease cellular repair.
\nOn the other hand, macrophages and mast cells dwell around the cerebral parenchyma and the perivascular spaces, also called Virchow-Robin spaces, these cells activate in presence of inflammatory mediators secreted as a result of ischemia/reperfusion [39, 40]. These produce high concentrations of histamine, catepsines, matrix metalloproteinases that further contribute to endothelial damage, blood-brain barrier (BBB), hyperpermeability, and the vasogenic edema formation as well increased production of TNF-α and CXCR, CXCL1/2/3 chemokines that will promote massive leukocyte recruitment to the perivascular region [39, 41], specifically neutrophils monocytes and T lymphocytes.
\nNeutrophil arrival at the injured perivascular space depends on time and type of occlusion, Nina Vindegaard Groberg et al. published in 2013 that when the occlusion lasts 120 min, there is an important number of neutrophils that arrive 12 h post-ischemia, reaching a peak concentration at 24 h; when the occlusion lasts 60 min concentration peak is observed as far as 3 days post-ischemia [42]. Notwithstanding, Isabel Pérez de Puig et al. results published in 2015 point out neutrophil presence as early as 6 h post-ischemia in permanent MCA occlusion (MCAo), which opens to consideration the fact that neutrophil quantity and distribution are different among patients [43]. Nevertheless, postmortem tissue analysis from people who suffered from cerebral ischemia in various vessels yielded no difference in neutrophil amount in perivascular zones, leptomeninges, and cerebral parenchyma around the lesion site.
\nAs neutrophils arrive to the injury site, they react almost immediately to damage-associated molecular patterns (DAMPS), TNF-α and Interferon gamma (INF-γ) which are found widely distributed around the perivascular zone and cerebral parenchyma. This promotes their activation, and thus, they acquire the ability to secrete cytokines, primarily IL-1β, IL-6, also lytic enzymes, free radicals, and angiogenic factors, as well as chemokines such as CXCL9 and CXCL10 which influence Th1 and Th17 lymphocyte migration [44, 45], triggering an increased amount of cells and a proinflammatory milieu.
\nIn the clinical field, it has been observed that patients who suffered from cognitive deterioration after an ischemic event have high concentrations of neutrophils, showing a high correlation between the degree of tissue damage secondary to inflammation and functional recovery [46]. Even patients that have been treated with recombinant tissue plasminogen activator (rtPA) but that previously presented high neutrophil amount have had the worst results associated with neuroprotection exerted by rtPA [47].
\nLarge efforts are being made to conduct scientific investigations oriented toward the decrease of secondary damage through the inhibition neutrophil recruitment, the adherence of these to endothelial cells through cannabinoid 2 (CB2) receptor activation [48], or through Neurogenin1 (NRG1) growth factor that reduces response to endothelial inflammation causing a decrease in ICAM-1, VCAM-1, and selectin E [49] or by the use of competitive antagonist CXR2/CXR3 [50] all of which have demonstrated to have beneficial effects in the decrease of infarct size in animals subjected to these treatments.
\nNonetheless, in the clinical setting, the use of some molecules such as Enlimomab, which reduces leukocyte adhesion, have had negative effects in stroke patients because it made them more prone to suffer from secondary infections that increased complications during their recovery [47].
\nIn response to CCL2, MCP-1, and CXCL1 chemokines, to mention a few, monocytes infiltrate into the perivascular and brain tissue, and as thought up to a few years ago, they differentiated in macrophages indistinguishable from activated microglia, stimulating and exacerbating brain injury [51]; nonetheless, thanks to the identification of different monocyte subtypes investigators have been able to identify some of their roles in the injured tissue.
\nRecently, two different monocyte population types that express different markers have been identified in mice. Classical or proinflammatory monocytes expressing Ly-6Chigh, CCR2high, and CX3CR1low markers have short half-lives and are actively recruited into inflamed tissues, boosting inflammation. The other types, expressing Ly-6Clow, CCR2low, and CX3CR1high markers, have longer half-lives and are found inspecting vessel integrity, aiding its maintenance [52]. Trying to identify the precise roles of each type of monocyte subpopulation is an essential task, since in 2015, Ritzel and his team conducted an experiment in which they demonstrate that 90 min after ischemia; there is a large forfeiture of microglia and a very high rise in monocytes coming from the periphery and reach up to 90% of monocytes in the ischemic brain at 72 h post-ischemia, making evident their very important role in injured tissue [53].
\nSeveral studies conducted in mice have also demonstrated that the rise of monocytes in blood and cerebral tissue express pro inflammatory markers, from subpopulation Ly-6Chigh during the acute phase of ischemia [52, 53]. The rise of this subpopulation is correlated with the infarct size and neurological deficit in mice subjected to ischemia/reperfusion [54]. Also, a rise in TNF-α and IL-1β production, characteristic of this subtype, is observed during the first 72 h post-ischemia [53]. Nonetheless, it has also been observed that there is a change of phenotype during monocyte differentiation into macrophages, acquiring anti-inflammatory characteristics along with the synthesis of TGF-β around the sixth day post-ischemia [55, 56]; but it is still not clear how such differentiation occurs, or what characteristics induce the process.
\nExperimentally, it has been observed that T lymphocytes reach the cerebral parenchyma later in time, between 24 and 96 h post-ischemia, reaching a max peak at 3–7 days post-ischemia [57, 58]. The increase of monocyte differentiation into macrophage infiltration, the expression of major histocompatibility complex II (MHCII), and costimulatory molecules in the activated microglia and the presence of CNS antigens such as myelin basic protein (MBP), NR2A/2B subtype of the N-methyl-d-aspartate receptor) and the human neuron-specific enolase (NSE) to mention a few, all products of necrosis and neural cell rupture found in systemic circulation and brain parenchyma [59, 60] stimulate antigen presentation. It is worth mentioning that at clinical level, concentration of these proteins has been related to the severity of neurological damage and extent of brain lesion in humans [61].
\nThe characteristics of the immune response to these antigens that have modified their nature due to the degree of necrosis resulting from ischemia, differ depending on the presented epitope [62]. Different from other CNS pathologies, in ischemia, Th1-type immune response to antigens like MBP is infrequent, but exacerbated when exposed in combination to lipopolysaccharides (LPS), since secondary-to-stroke infections are very common [62]. Nonetheless, it has not been possible to clearly establish which mechanism of autoantigens is involved in damage exacerbation.
\nThere are a series of experiments that show the harmful role of T lymphocytes, among which are those performed by Gokhan [26] and his team in 2006 where they observed that lymphocytes are the primary producers of INF-γ and other proinflammatory cytokines, that promotes an increment in infarct size [26]; and those performed by Liesz in 2011 [63], in which they observed that by eliminating lymphocytes, infarct size was reduced in animals subjected to cerebral ischemia, all of which matches with Xiong et al.’s results in 2013 [64], where they observed that T lymphocyte deficiency significantly reduces infarct volume in a transient cerebral ischemia model, but not in distal permanent occlusion, which highlights that the model and level of reperfusion used are essential and differential to evaluate damage.
\nThanks to new arrangement of more specific cellular markers, some new functions and mechanisms have been identified during stroke for the different T cell subtypes. INF-γ production, primarily by T CD4+ cells, is what fundamentally compromises injury exacerbation [63]. T CD8+ cell activation conducts to neural cell death through perforin-granzyme pathway. Natural killer (NK) cells have a less noxious effect. T γδ cells show an injurious effect at the experimental level through the production of IL-17, IL-23 [38, 63, 64] and IL-6 at the clinical level [65]. Treg lymphocytes have been implicated mostly in neural tissue protection, preventing autoimmunity and inflammation through IL-10 [66].
\nImmune tolerance to autoantigens is based on the regulation of autoreactive T lymphocytes through various mechanisms involving: elimination, anergy, or suppression via Treg cells, even though several studies have not found benefit from them, since after being eliminated, injured tissue did not present further damage [65].
\nRecent studies have observed that autoreactive T cells have the ability to promote neuroprotection. This physiological mechanism appears when the CNS suffers from damage and can be potentiated or modulated through active immunization with neural-derived peptides. Such has been demonstrated in several models, like: spinal cord injury [66], multiple sclerosis [67], partial injury to the optic nerve [68], among others. Using T lymphocytes for the bone morphogenic protein (BMP) autoantigen neuroprotection is observed, under morphological, anatomical and functional criteria. Through this immunomodulation mechanism, a major production of anti-inflammatory cytokines and trophic factors has been observed, which is a crucial event to look for in neuroprotection and even neurorestoration.
\nEach comprised mechanism of immune system participation in cerebral ischemia represents an opportunity to explore immunomodulation and contention that shall not be wasted, in order to look for tissue neuroprotection and neurorestoration.
\nThe cytokine accumulation and cellular infiltration increase mentioned above drive an expansion in damage, even though molecules that try to limit it are released. This prejudicial effect increases in relation to passing time and ischemia intensity, which provides a relatively small therapeutic window to look for protection alternatives. Initially, because the immune system has always been considered as one of the responsible mechanisms for damage increase, most neuroprotective therapies are being investigated toward its inhibition, looking to eliminate proinflammatory cytokine production and cell recruitment.
\nFor this reason, strategies to try and delay or stop the biochemical and molecular damaging process are being investigated since over four decades ago in preclinical phases [69, 70] using different compounds that exert neuroprotective mechanisms.
\nNeuroprotection is a term that refers to the use of different therapies, alone or in combination that protect the brain or the neural cells against damage from immune degeneration, apoptosis, and dysfunction [70, 71].
\nNeuroprotection is aimed at not only protecting neurons, but also other brain constituents, such as microglia and endothelial cells of the penumbra region [72], and can be achieved through different mechanisms such as: anti-excitotoxic agents, anti-inflammatory agents, antioxidants [71], but our main focus will be in those that are involved with the immune system.
\nStudies have been conducted in different settings and performed in animals in order to prove the existence neuroprotective characteristics of several molecules through all of these different mechanisms, focusing on those with immunomodulatory and immune inhibition activity [73].
\nAmong those studied, the most recent substances that have demonstrated to have neuroprotective mechanisms through anti-inflammatory activity in the preclinical field, the following are included.
\nLycium barbarum polysaccharides are derived from a traditional Chinese plant that when used in a stroke model in mice, the investigators observed a reduced number of apoptotic cells in the peri-infarct zone, as well as a reduction in neurological deficit. This extract has neuroprotective effects through the inhibition of the ERK and JRK pathways, it inhibits MMP-9 and thus protect the BBB integrity, and it also regulates aquaporin-4 in order to reduce brain edema [74].
\nPiperine (1-peperoylpiperidine) is an extract from pepper usually used in folk medicine to treat different ailments since it appears to be anti-inflammatory. A group led by F. Islam investigated its effect in ischemic brain injury. They pretreated Wistar rats and investigated its neuroprotective role in a period of 24 h after the MCAo and observed a down regulation of COX-2, nitric oxide synthase (NOS-2), and nuclear factor κβ (NF-κβ) in the penumbra region, thus reducing the secretion of proinflammatory cytokines. A decrease in infarct size and less neuronal loss was also observed in the pretreated group [75].
\nSimvastatin is a pharmacological agent used in the treatment of atherosclerosis and high blood cholesterol, it has shown neuroprotective effects in ischemic brain injury through the upregulation of Nitric Oxide synthase, decrease in ROS production, the fibrinolysis activation through the upregulation of tissue plasminogen activator (tPA), and downregulation of plasminogen activator inhibitor-1 (PAI-1), as well as the recruitment of inflammatory components of the ischemic cascade from monocytes, macrophages, and T lymphocytes [76].
\nNeuro-erythropoietin (EPO) has proven to be neuroprotective in ischemic models. It decreases susceptibility to glutamate toxicity and nitric oxide, thus being antioxidant, it also induces the production of ant apoptotic and neurotrophic factors and decreases inflammation. Another proposed mechanism for neuroprotection by EPO is the use of the released iron by the ischemic lesion for erythropoiesis, thus limiting its oxidative effects [77].
\nLevodopa/benserazide is a pharmacological agent that during an investigation was given to rats 2 days after experimental stroke, and at day 7, T cells and chemokines were analyzed. It was discovered that CD3 and CD8 T cell population was diminished in the treated group, as well as lower levels of ICAM-1 in the ischemic hemisphere [78].
\nFingolimod modulates the activity of the membrane receptor (S1PR) responsible for the reduction in lymphocyte migration into the brain tissue and the microvasculature; this increases cerebral blood flow by attenuation of adhesion and thrombus formation and protects the brain indirectly [79].
\nOther molecules occurring naturally, such as fatty acids, have neuroprotective effects through immunomodulation and antioxidation. Omega-3 fatty acids are essential for human consumption since humans lack the ability to synthesize them.
Immunomodulation refers to the therapeutic approach to alter or modify the immune response for the benefit of the patient. Cytokine production, e change in cellular phenotype, and the complement are manipulated to modify the milieu to which the immune system shall react [81]. Immunomodulation can also be achieved through induction of anti-inflammatory milieu (L-4, TGF-β, other cytokines) in which Tregs and microglia can be induced toward a beneficial response.
\nThe immunomodulation area of study is being increasingly explored, having already found a great diversity in pharmacological proposals that induce this type of response, among which we can mention:
Yang et al. demonstrate that by treating animals with minocycline previous to an ischemic event increases blood flow, increases tight junction protein concentration in the ischemic cortex, maintained levels of MMP 2, 9, and 3 needed for repair. It also decreased microglial/macrophage activation, compared to the non-treated group, and activation was alternate at 4 weeks, meaning that microglia/macrophage expressed phenotype M2. This supports the observed decrease in TNF-α and IL-1β and increase in TGF-β and IL-10. Animals treated with minocycline Chad lesser infarct sizes assessed by MRI and (2,3,5-Triphenyltetrazolium chloride) TTC staining [83].
\nIL-4 is a naturally occurring cytokine produced mainly by Th2 cells, mast cells, eosinophils, and basophils. It is thought to be essential for the promotion of macrophage phenotype differentiation toward an M2 response, rather than the classical M1. IL-4 production reduces over time, and this is associated with neurodegenerative diseases. Liu and his team proved the importance of IL-4 after acute ischemic stroke, since IL-4 Knockout (KO) mice exhibited greater tissue loss at day 5 and functional deficit including memory impairment and spatial learning decrease. Overall, they suggest that immunomodulation IL-4 plays a key role in recovery after stroke [84].
\nAnother cytokine involved in immune modulation and anti-inflammation is INF-β. It has been already approved by the FDA for MS treatment and Kuo et al. studied it for experimental stroke, demonstrating a protective effect, since animals treated had less infarct volume and neurological scores. The authors suggest that this is mediated through the INF-β receptor, since animals lacking this receptor (Ifnar1−/− MCAO/R mice) showed no protective effect from the treatment. The mechanisms involved in INF-β neuroprotection are: decrease in inflammatory cytokine expression (IL-1β, IL?6, IL-23p19, and TNF-α), reduction in microglial activation and soma size (suggestive of resting state), decrease in macrophage/monocyte, CD4+ and γδ T cell and neutrophil infiltration, inhibits TNF-α induced ICAM-1 (but not VCAM-1) and E selectin upregulation and inhibition of MMP-9, CCL3 and CXCL3 [85].
\nUnder the bases of the new concept conceived by Dr. Michal Schwartz “protective autoimmunity,” various non-encephalitogenic peptides have been tested. These have shown to potentiate neuroprotective effects of the immune system itself, such as Cop-1 is a modified neural peptide used in the treatment of multiple sclerosis that has shown beneficial effects in previous stroke models. Cop-1 competes for binding to MHCII since it has a high, fast, and efficient binding to several MHC molecules in several murine and human antigen-presenting cells without the need of being processed. It is also a MBP epitope 82-100 antagonist, which present a high cross-reaction with this molecule, thus competing with it for the MHC binding site. This copolymer helps modify the milieu since immunization with COP-1 after stroke has shown to induce a Th2 response [86]. Overall, these changes provide an anti-inflammatory milieu (cytokine production: IL-4, IL-5, IL-10, and TGF-β). Under this background effect of Cop-1 in MCAo model where rats were immunized with this neuropeptide after being subjected to the occlusion. Results analyzed 7 days post-ischemia yielded a decreased infarct size and lesser neurological deficit in animals treated with Cop-1, results consisting with neuroprotective benefits [87].
\nPoly-YE is a high molecular weight copolymer that has proven to exert immunomodulatory effects through the downregulation of Treg, modulation of microglial and macrophage response in the thalamus and an increase in production of insulin-like growth factor-1 (IGF-1) by Nestin+ cells. After subjecting rats to experimental stroke, those treated with poly-YE presented diminished infarct size and neurological deficit [88].
\nMyelin oligodendrocyte glycoprotein (MOG) administered nasally demonstrated reduction in infarct size through the induction of IL-10-secreting CD4+ T regulatory cells and reduction of CD11b+ cells which contribute to the NO synthesis. Overall, infarct size and neurological deficit were reduced by the nasal MOG administration in a MCAo stroke model [69].
\nA different mechanism that has also been explored is ischemic tolerance; such consists in bring about a pre-conditioning of the tissue, in order to promote neuroprotection [89]. Among the activated mechanisms are an increase in anti-inflammatory cytokines such as IL-4 and IL-13 that ease hippocampal pyramidal neuron survival after an ischemic event in gerbils [90]. Tu XK and his team also demonstrated that neuroprotection can be originated by pre-conditioning through modulation of the phosphatidyl inositol 3-kinase (PI3K/Akt) and ERK1/2 pathway modulation [91] (Table 1).
\n
| \nReduction in the number of apoptotic cells in the peri-infarct zone Reduction of edema Decreased neurological deficit | \nYang et al. 2012 | \n|
Piperine (1-peperoylpiperidine) | \n
| \nDecrease in infarct size and neuronal loss | \nVaibhav et al. 2012 | \n
Simvastatin | \n
| \nReduce changes in BBB and protect brain against cell stress Reduced amounts of inflammatory proteins in the brain | \nCampos-Martorell et al. 2014 | \n
Neuro-EPO | \n
| \nHigher survival in treated animals, reduced neurological deficit. Increased histological protection | \nLagarto Parra et al. 2012 | \n
Levodopa/Benserazide | \n
| \nAttenuation of inflammation, reduced number to T cells, reduced ICAM-1, and T cell-associated IL-5. | \nKuric et al. 2014 | \n
Fingolimod (FYT720) | \n
| \nReduction of infarct size Reduction of lymphocytes in cerebral vasculature→increased blood flow | \nKraft et al 2012 | \n
Omega-3 | \n
| \nReduction of infarct size Reduced neurological deficit Increased cell viability ( | \nZhang et al. 2014 | \n
Ganoderma lucidum | \n
| \nReduction of infarct size Reduced neurological deficit | \nZhang et al. 2014 | \n
Minocycline | \n
| \nReduction of infarct size | \nYang et al. 2015 | \n
IL-4 | \n
| \nDecreased tissue loss Better spatial learning and memory | \nZhao X, et al. (2015) | \n
INF-β | \n
| \nReduction of infarct size Decreased neurological deficit | \nKuo PC, et al. (2016) | \n
Cop-1 | \n
| \nReduction of infarct size Decreased neurological deficit | \nA. Ibarra et al. 2007 | \n
Poly-YE | \n
| \nReduction of infarct size Decreased neurological deficit | \nZiv et al. 2007 | \n
MOG | \n
| \nReduction of infarct size Decreased neurological deficit | \nFrenkel et al. 2004 | \n
IL-10 | \n
| \nNeurogenesis | \nWang et al 2015 | \n
Noggin | \n
| \nNeurogenesis and angiogenesis | \nShin et al, 2014 | \n
Antibodies | \n
| \nIncreased neuroplasticity and neurological recovery | \nWeissner et al, 2003. | \n
ALA | \n
| \nReduction of infarct size Increased neurological recovery | \nChoi et al, 2015 | \n
Tetrmetylpyrazine | \n
| \nInduce dendritic plasticity Greater neurological recovery | \nLin et al, 2015 | \n
Ischemic pre-conditioning | \n
| \nReduction of infarct size | \nSchaller et al. 2003\n | \n
\n | \n | Increased neurological recovery | \nTu XK et al 2015 | \n
\n | \n | Pyramidal neuron survival | \nKim DW et al 2015 | \n
Neuroprotective mechanisms exerted by diverse therapies.
Even though neuroprotection is a targeted treatment that might be useful in a variety of ailments above mentioned, it does not restore tissue to its original anatomical state. In order to achieve “anatomical normality,” alternative and promising therapies are being studied for achieving neurorestoration through different mechanisms [71] involving the immune system, given that these new strategies have shown that immune cells are able to secrete factors that intervene in neurorestoration processes like neurogenesis.
\nDifferent studies have demonstrated that autoreactive T lymphocytes support neurogenesis in young and old animals, and are essential for memory development and spatial learning [92]. This was observed before by studies where the circulating T lymphocyte depletion drives a cognitive deficit from neurogenesis decrease [93].
\nActive immunization with Cop-1 has demonstrated to be able to increase trophic factor production, such as: IGF-1 in retinal ganglion cells [94] experimental autoimmune encephalitis (EAE) [95], as well as in combination neurotrophin-3 and neurotrophin-4 (NT-3 and NT-4) in EAE [96].
\nBoth brain-derived neurotrophic factor (BDNF) and NT-3/NT-4 have been implicated in neurogenesis regulation mechanisms, differentiation, and neuron survival through its receptors Trks or p75 [97], also, BDNF has been implicated in neuroblast migration processes through the rostral migratory stream [98]. In healthy conditions, neuroblasts are conducted to the olphactory bulb where they mature and contribute to site plasticity [99], or in pathological conditions such as ischemia, they can be conducted toward periphery of the damage zone where they incorporate.
\nIGF also promotes neural cell proliferation by interacting with its receptor IGF-IR in the sub-ventricular zone as well as the hippocampal dentate gyrus (neurogenic niches in adults) in adult rats [100]. Furthermore, it participates in oligodendrogenesis after being stimulated by Cop-1 in a multiple sclerosis model [95].
\nImmunization with Cop-1 has demonstrated to induce an increment in neurogenesis and neuron survival during acute and chronic phases of an ischemic event [101]. In the same way, Poli-Y immunomodulator has also shown an increment in cortical and hippocampal neurogenesis, as well as reduction of neural loss [88].
\nIL-10 use has also shown to have a positive effect on neurogenesis after cerebral ischemia, in 2015 Wang J and his work team observed that Treg cells are capable of increasing stem cell proliferation in the sub ventricular zone through IL-10 production [102].
\nNoggin is a bone morphogenic protein (BMP) antagonist that has also been tested in a MCAo model and has had neuroprotective as well as neurorestorative results through its ability to modify activated microglial response from M1 to M2 phenotype and induce an increase in several molecule production such as: vascular endothelial growth factor IL-10, Growth Associated Protein-43 (GAP-43), and vascular endothelial growth factor (VEGF) which intervene in neurogenesis and angiogenesis [103].
\nAntibodies have also been used successfully to inhibit signaling pathways that limit axonal and neurite growth and remodeling, thus allowing an increment neuronal plasticity and neurological recovery in ischemic rats [104].
\nOn the other hand, the use of cell-based therapies is being studied for their neurorestorative properties; for instance, it has been demonstrated that microglia participates in neuronal precursor cell (NPC) migration and differentiation [105], as well as in neurogenesis, synaptogenesis, and tissue remodeling increase through the release of IGF-1 and neurotrophic growth factor (NGF), among others, in animals subjected to experimental stroke [106].
\nOther animal models, such as traumatic brain injury (TBI), have had success in the use of combined therapies composed of stem cell co-transplants and pharmacological a or immunomodulatory agents that modify neural tissue milieu in order to favor recovery and restoration. For example, the use of granulocyte-colony stimulating factor (GCSF) and human umbilical cord blood cell (hUCB) transplantation has demonstrated to reduce proinflammatory cytokine expression, increases trophic factor production, and promotes synaptic circuit reestablishment. For this reasons, it has been proposed as a therapy for stroke models [107].
\nAnother mechanism through which brain tissue restoration is pursued is neuroplasticity or synapse plasticity, which is an inherent neurophysiological adaptive trait in which preexisting connections between two neurons can gain or lose strength during neural activity [108], as well as change in structure, function and organization [109]. It responds to different experiences and emphaticism and has been observed in different sections of the CNS [109].
\nTreatment with tetramethylpyrazine, which has anti-inflammatory and antioxidant effects, has shown to be able to induce dendritic plasticity, observing maintenance of neuroarchitecture through microtubule-associated protein 2 (MAP-2), which has been observed in greater density in peri-infarct zone found dendrites, causing a greater neurological recovery in rats with cerebral ischemia [110].
\nAlpha-lipoic acid (aLA) has yielded very good results in preclinical investigation since it has shown that its anti-inflammatory capacity through a decrease in proinflammatory cytokine expression such as: IL-1β, TNF-α, MIP1, Iba-1, and the increase in expression of transcription factor SOX2, which is essential for maintenance of auto regeneration properties, as well as an increase in neuron precursor cell proliferation accompanied by a significant reduction in infarct volume and better functional recovery. For all these reasons, aLA is a great candidate to start clinical trials as neurorestorative of brain tissue [111].
\nEven though preclinical trials have yielded promising results, translation into clinical human stroke trials has been unsuccessful. Clinical trials have been conducted very scarcely and have shown very little results [72, 112]. Some agents have been used in the clinical setting after having been observed beneficial in animal models. By 2008, Ginsberg had reported the existence of 160 clinical trials for neuroprotection after stroke and one-third of the by-then-finished 120 trials included more than 200 subjects; nonetheless, most of them failed to prove any benefit [70]. As of March 2016, a search in “www.strokecenter.org” for clinical trials involving neuroprotection yields 25 results of which 12 involve neuroprotection for acute ischemic stroke and only one of them is already in already phase 4. A different search in involving the word “immune” yielded another 25 matches, of which only two are related to immunomodulation in stroke.
\nOne of them, Nasal Selectin E administration is being studied by Hellenbeck, M.D. at the National Institute of Neurological Disorders and Stroke (NINDS) in patients that have suffered from stroke, seeking induction of mucosal tolerance to this adhesion molecule through low-dose nasal administration, in order to promote a response shift from Th1 toward Th2 or Th reg at inflammation sites. This trial is currently at phase I and has not yet published results [113].
\nFingolimod, which has been mentioned earlier, is also being used in an ongoing clinical trial with the goal of analyzing neurofunctional effects in stroke patients at different time points after being orally administered. The secondary purpose is to identify if there are any cellular and structural brain modifications through the use of flow cytometry and MRI [114].
\nIn accordance, a pilot trial was conducted combining the use of rtPA and Fingolimod in a randomized multicenter pilot trial that included 47 patients in China. Treatment was provided within 3 and 3.1 h from symptom onset. Whole blood was used to assess lymphocyte and mononuclear cells at day 1, 7, and 90. After day 1, CD4+ T cells, CD8+ T cells, CD19B+ cells, and NK cells had significant decreases in the fingolimod + alteplase group, as opposed to the alteplase only group. At day 7, this trend continued and normalized by day 90th. Other results included lesser infarct volume expansion, smaller hemorrhage, and greater functional recovery in the short and long term in the combined treatment group. Safety was assured during this trial, and further investigation needs to be considered [115].
\nOn the other hand, stem cell therapies are also under clinical scrutiny, their use has proven to be feasible, but not necessarily practical, and it is safe. Most clinical trials have proven that stem cell therapy improves functional recovery but other factors have to be taken into account too, such as cost-effectiveness, comparison to other stroke treatments, time, and type of stroke. According to Young, there are currently nine ongoing stem cell clinical trials for stroke, testing safety, and efficacy as well as most accurate patient selection [116].
\nKnowledge about the molecular dynamics of cerebral ischemia pathophysiology and the study of neuroprotective mechanisms has promoted the use of combined therapies [89].
\nThe use of combined therapies has also been tried in the clinical field in different diseases. For example, two quadriplegic patients were transplanted with differentiated neural stem cells (NSC) and autoreactive autologous T lymphocytes. These patients regained motor and sensitive functions without adverse effects [117], all the more reason to try these therapies in stroke.
\nSome stem cell trials have shown to have some beneficial effects on stroke patients, such as the use of human placenta derived adherent (PDA001) cells, isolated from
Treatment | \nOutcome | \nReference | \n
---|---|---|
Nasal selectin E | \nPromote a response shift from Th1→Th2 or Th reg Ongoing | \n[113] | \n
Fingolimod | \nNo outcome, still ongoing | \n[114] | \n
rtPA + Fingolimod | \nReduced infarct volume Greater neurological recovery | \n[115] | \n
NSC + Autoreactive Autologous T cells | \nRecovery of motor and sensory functions No adverse effects | \n[117] | \n
PDA001 | \nIncreased functional recovery | \n[118] | \n
Results of some clinical trials.
Most preclinical investigations focus on delivering treatment in the first hour after reperfusion and happen in strictly controlled environments, which is why they have shown beneficial effects. Lack of results in clinical trials is attributed to uncontrolled real life settings, different populations, comorbidity existence, different ischemic territories, duration of occlusion before reperfusion, and a single target for treatment, leaving behind other neural components that might aid recovery. Also, patients are selected after arrival to hospitals and thus, other environmental variables and time window are not accounted for in results [72, 112].
\nThe study and application of new therapies that will aid the ischemic patient recover more effectively needs to continue to be worked on in the basic and preclinical fields, specially through the exploration of immune system characteristics that might be beneficial for stroke therapy and thus achieve a decrease in mortality and an increase in functional recovery after hemiplegia (one-sided paralysis) hemi-hypoesthesia (one-sided decrease in sensory perception) hemianopsia (one eyed decreased vision), paresia (partial paralysis), aphasia (inability to comprehend language), and memory alterations; favorably increases stroke patients quality of life.
\nVolatilomics indicates the qualitative and quantitative study of the volatilome, defined as the complex blend of volatile organic compounds (VOCs) originating from different biosynthetic pathways and emitted by living organisms [1]. VOCs are small molecules (below 500 Da), with hydrophobic character, low boiling points, and high vapor pressure at ambient temperature. Unconjugated volatiles can freely diffuse across membranes to be released from flowers, fruits, and vegetative tissues into the atmosphere and from roots into the soil to be perceived at short and long-distance. Therefore, plants and animals use VOCs for chemical communication with the surrounding ecosystem, and plants also use them as attractors for pollinators and defense against herbivory and biotic and abiotic stress [2, 3, 4, 5].
The study of VOCs of plants has focused not only on the qualitative and quantitative composition of the volatile fraction but on the bioactive compounds as well as flavors and fragrances [6, 7]. Similarly, the understanding of fruits’ sensorial attributes is of great interest as quality control, as well as in the determination of origin mark, and the performance of ecological studies aimed at the establishment of the relationship between the ripening stage and the incidence of fruit diseases for insect or microorganism attack [8, 9, 10].
Microorganisms produce a plethora of important microbial volatile organic compounds (mVOCs), that play an essential role in inter- and intra-kingdom connections. The study of mVOCs has allowed, for example, to detect terpenes, compounds normally associated with plants, also in fungi and bacteria [11]. Also, these compounds are related to ecological interactions between living organisms found in the soil, including the rhizosphere [12].
In addition, several studies of VOCs from animals not only have allowed decoding the signal of the animal chemical communication but also have demonstrated the potential use of that knowledge in early disease’s diagnostics. For example, recent studies have shown novel practice for the detection of biomarkers to identify the intoxication using unusual biological fluids like ear wax, being fast, economic, and noninvasive bioanalysis, with minimal sample preparation and very versatile to identify the first signals of intoxication [13, 14].
Differently to the genomes, the volatilome changes continuously across time, and its composition depends on external and internal factors, such as the environmental conditions, and/or the physiological state [15]. Therefore, the study of the volatilome is not a simple task and the researchers in this area entail multiple challenges derived from the chemical complexity of the samples and the superposition of VOCs signals as proper of the ecosystems. Thus, sensitive yet unbiased methodologies are needed to provide researchers with comprehensive and accurate representations of a plant species’ volatile metabolome.
However, current methodologies are limited in their ability to isolate, and even more critically to identify, many of the compounds present in each sample. In volatile metabolomics, the emitted metabolites are already isolated from tissues, they need to be temporarily trapped, and eventually preconcentrated, in a way that allows them to be released unadulterated for separation and identification.
A variety of technologies have been developed. In these methods, the sample of interest is enclosed in a collection chamber and the released volatiles present in the airspace surrounding the sample, headspace (HS), are trapped onto an adsorbent. And are subsequently analyzed by gas chromatography in combination with mass spectrometry (GC–MS) as the method of choice for volatilomics.
Hence, in the next sections of this chapter, we will provide an overview of the volatilome study process, including the main practical and theoretical aspects of volatiles capture, sample preparation, and the main analytical techniques employed to monitor VOCs, together with the chemoinformatics tools used for volatilome dereplication, elucidation, annotation, and interpretation of data.
Sample acquisition in volatilomics experiments requires consistency, therefore due to the high variability of chemical structures, concentrations levels, sample types, and physiological variations, other variables different than metabolites (addressed as meta-variables from now on) should be controlled or at least carefully monitored in order to evaluate their effect on the study outcome. Some important variables that should be taken into account include replicate number, taxonomic identification, geographic location, phenotypic or phylogenetic variant, sample weight, phenotypic characteristics, sex, developmental stage, health status, collection date, and time. Photographs should be taken. A useful reference for registering meta-variables is the ReDU Sample Information Template. (https://docs.google.com/spreadsheets/d/1v71bnUd8fiXX51zuZIUAvYETWmpwFQj-M3mu4CNsHBU/edit?usp=sharing) [16] build by the collaborative Global Natural Products Social Networking (GNPS) (https://gnps.ucsd.edu/ProteoSAFe/static/gnps-splash.jsp) [17] where researchers can add new meta-variables and share their data in an open-source and collaborative environment.
The plant volatilome is defined as the complex blend of essential oils (EOs) and VOCs fed by different biosynthetic pathways and emitted by plants, constitutively and/or after induction, as a defense strategy against biotic and abiotic stress. Plants have a vast diversity in their range of metabolites and their concentrations, as there are hundreds of thousands of metabolites in different categories. As such, there is no single analytical technique that has the capability of extracting and detecting the whole metabolome [18].
Plant volatile emissions are linked to the physiological status of the emitter, therefore special care must be taken to control the plant-growing environment as well as all variables concerning the developmental stage of the plant to limit unwanted fluctuations in metabolism that might affect collected. These include the time of day, photoperiod, temperature, humidity, water conditions, collection site altitude, plant age, climate, and soil type so that a careful experimental design is recommended. Whenever possible, growth chambers must be used for plant cultivation and volatile collection [19, 20]. EOs and VOCs can be extracted and analyzed from both fresh and dried plant materials. When using fresh material, particular attention must be paid to the health status of plants, since microbial and other infections may alter metabolites production. Plants must not show necrotic areas and be at the same developmental stage if comparative analyses are needed. Since the content of water may vary, it is a good practice to use some of the fresh material to calculate the dry matter percentage [21].
Since volatile emissions from many plant species vary with respect to the time of day, and different organs in the plant are known to produce and/or accumulate different profiles of secondary metabolites, collection strategies should consider volatile sampling over an extended period of time and from the investigated organ or entire plant, to prevent unintentional exclusion of volatile components in the sampled mixture. Also, when running VOCs analyses from living plants it must be remembered that rooted plants in pots respond differently than cuttings, and that soil in pots may contain microorganisms that can produce VOCs [22, 23]. Once a plant part is collected, at least two herbarium samples should be prepared and identified or authenticated by a taxonomist. One of these voucher specimens should be deposited in a local national herbarium. A card with details of the place, altitude, environment, and photographs should be attached to the herbarium sample, in case a recollection of the plant material is necessary. Although depositing herbarium samples is a basic step in performing phytochemical investigation, many researchers in the past neglected this step and thus were unable to reproduce their work [23, 24, 25].
Living flowers change their volatile profile in a continuous way that depends on intrinsic and extrinsic factors. Once cut, flowers undergo rapid deterioration and loose volatiles. Flower volatiles allow discrimination between different plants and attract insects for pollination when they are released. The amount of emission is not uniform through time, with some differences between diurnal and nocturnal emission levels, and between reproduction phases. The volatile compounds emitted by flowers are mainly aliphatics, terpenoids, benzenoids, and phenylpropanoids. Flower volatiles require special methods for their isolation with preconcentration and can be obtained from the air surrounding the living or excised flower, or from the flower tissues themselves. The selected extraction technique determines the composition of the isolated volatiles mixture [26, 27].
Fruits are very complex samples, rich in a great number of different classes of metabolites, including volatile, semi-volatile, and no volatile compounds. The flavor is one of the most important characteristics to value the quality of fruit. Volatile and semi-volatile compounds usually are responsible for aroma fruit, and their study has conducive to identify both positive and negative sensory attributes [28]. VOCs are produced in trace amounts, and although they are easily perceptible by the human nose, their sampling and monitoring can be challenging at an analytical level [29]. The volatile fraction of fruits is composed of hundreds of different chemical substances that can vary according to the type of fruit, but the emitted compounds can be grouped according to the chemical function mainly into esters, alcohols, aldehydes, ketones, lactones, and terpenoids [29]. Moreover, VOCs emitted by fruit depend on the production conditions (cultivars, state of maturity, post-harvest treatment, and storage) the sample format (whole fruit, sliced, wet, dry), and the type of analysis (in-field or in-lab). Capturing volatiles in-situ is a challenge, as small amounts of VOCs are released and diffuse in a large volume of air, which requires highly efficient sampling techniques to capture them. Solid-phase microextraction (SPME) and solid-phase extraction (SPE) are usually the most profitable techniques for the capture of fruit volatiles in-situ. Once the volatile compounds are retained in an adsorbent material, their storage and transport are facilitated. On the other hand, in laboratory capture of VOCs from fruits, can be efficiently performed by solvent or gas-based extraction techniques, such as Soxhlet, simultaneous distillation extraction, purge and trap, and headspace, among others.
Analysis of mVOCs is commonly performed under controlled culture media, temperature, and agitation. Also, the percentage of humidity and exposure to UV–visible light among other growing conditions should be taken into account. In order to account for reproducibility of the experiments, laboratory tests on microorganisms must be performed using international reference strains e.g.: American Type Culture Collection (ATCC), instead of clinical or field isolations, or even strains isolated and saved in the research group for a long time. Because the emission of VOCs can vary in terms of presence or absence, and in terms of fluctuation in concentration, throughout the life span of the microorganisms (which can be from a few hours to days), it is advisable to perform analyses both in the exponential or logarithmic growth phase, as well as in the stationary phase [12, 30, 31]. During the exponential phase, the microorganism is reactivating its biosynthetic pathways after having been in a state of latency. Therefore, in this stage, there is generally a high concentration of some metabolites that are part of the first stages of the biosynthetic pathways, which can later diminish and disappear in the exponential phase. The stationary phase is achieved when the initial metabolic processes have been reached and occurs when the survival process of the species begins [32]. The metabolic changes produced in these two stages of microbial culture are fundamental to understanding and solving research questions [33, 34]. The determination of each of the culture phases is commonly done with a measurement of the absorption of light in the visible region between 500 and 650 nm for liquid growth medium. This is achieved by counting the colony-forming units (CFU) in the solid medium. The sampling time for analysis of mVOCs must coincide with those obtained in the growth curves, correctly differentiating the exponential and stationary phases.
For conducting volatile sampling from animals, the specimens could be either raised in captivity at controlled vivaria or extracted from their natural environments. Proper training in animal manipulation is an important aspect to be fulfilled before performing animal experimentation, as well as an approved permit by the Institution in charge to validates the procedures. Also, when animals are to be collected in their habitats, it is necessary to review if a Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) permit is needed for protected species. A specialist should validate taxonomic identification and, in those cases, where sample collection involves euthanization of specimens that should be registered at a recognized Museum, and voucher numbers should be annotated and published on the research paper. In the same way, as other organisms could be sampled by different methods, almost all animals could be sampled in vivo, but in some cases, tissue extraction could be preferred for guaranteeing detection of less abundant metabolites. Some techniques applied for VOCs analysis from terrestrial arthropods [35, 36, 37, 38, 39], aquatic organisms [40, 41, 42], mammals [43, 44, 45, 46, 47, 48], birds [49, 50], reptiles [51, 52], fishes [53], and amphibians [37, 38, 54, 55, 56, 57] include headspace-adsorbent traps, polydimethylsiloxane (PDMS) patches, swabs and stir bar sorptive extraction (SBSE).
Sample preparation is one of the most important steps in the analytical process. The goal of sample preparation is to efficiently isolate target analytes from potential interferences and to extract as many VOCs as possible to provide a true representation of the studied system.
Some steps of pre-treatment of the sample are necessary in order to minimize the manipulation of the sample and avoid its modification, to clean-up the sample efficiently, and to quench metabolic reactions that could cause degradation and decomposition. To date, two different types of headspace sampling, static and dynamic, are widely used for volatilomics investigation.
Static headspace sampling is a passive technique for VOCs collection, where no air is circulated for the concentration of the volatiles on a sorbent matrix [18]. As a result, the background noise is drastically reduced due to the absence of a continuous airflow that can contain impurities that could mask compounds released at trace amounts. In static headspace methods, samples are typically sealed inside a container or bag, where the volatiles are released and, in the more traditional version of the technique, the headspace is sampled directly using a gas-tight syringe and transferred to the Gas Chromatography (GC) injection port. When the analytes are present at trace level, it might be necessary to carry out static headspace methods with special techniques to concentrate volatiles during collection and reduce the dilution of the sample during desorption in the GC inlet. In such a context, SPME stands out as the most versatile strategy for volatile capture from the sample headspace in static mode. Nowadays, SPME is the leading technique in the analysis of volatiles of biological origin because it uses a fiber coated with a sorbent phase to combine extraction and pre-concentration compounds. SPME fibers are available in a wide range of coatings that allow the sampling of compounds of different polarities and volatilities. Considering that the goal of volatilomics profiling is to analyze as many metabolites as possible, the use of divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/PDMS) fibers is the most suited to increase the number of analytes that can be trapped on the fiber because it can allow capture VOCs in a wide range of polarity and molecular weight [58].
This type of coating contains a layer of CAR particles underneath a layer of DVB particles. Because the ability of adsorbent coatings to extract a particular analyte strongly depends on the size of the pores, larger analytes will be retained in the outer DVB layer, while the smaller analytes will migrate through this layer and are retained by the inner layer of CAR. On the contrary, if the study targeted only on the most volatile fraction, PDMS/CAR would be an appropriate choice of coating, since the micropores of the CAR retain smaller analytes better than other coatings, although introducing a high degree of discrimination towards high-molecular-weight compounds.
On another hand, although other coatings, such as PDMS, polyacrylate (PA), and Carbowax (CW), are also commercially available, their use in volatilomics is quite scarce due to the higher selectivity towards certain classes of polarities [58, 59].
From a practical point of view, SPME is a versatile technique for in-field sampling as a non-destructive strategy for the study of the volatiles emitted ex-vivo, for example, by grapes. In this case, an aluminum wire cage can be used to support a polymeric film to enclose a whole cluster of grapes, and SPME fiber is introduced through a port fitted with a silicone septum (Figure 1a).
Sampling handling techniques of VOC’s fruit. a) Ex-vivo sampling of volatiles from the whole cluster of grapes by SPME; b)Ex-vivo sampling of volatiles from a single grape berry by SPME. Adapted from [
Also, an interesting strategy for speeding up the volatiles’ uptake is vacuum-assisted SPME. For example, in-field sampling of volatiles from a single grape berry, a modified screw top, and a 2 mL glass vial can be used for fiber exposition. A syringe is usually used to create a negative pressure to hold the sampling device with the SPME sealed onto the sample surface (Figure 1b).
This type of coating contains a layer of CAR particles underneath a layer of DVB particles. Because the ability of adsorbent coatings to extract a particular analyte strongly depends on the size of the pores, larger analytes will be retained in the outer DVB layer, while the smaller analytes will migrate through this layer and are retained by the inner layer of Carboxen. Conversely, if the study targeted only on the most volatile fraction, PDMS/CAR would be an appropriate choice of coating, since the micropores of the CAR retain smaller analytes better than other coatings, although introducing a high degree of discrimination towards high-molecular-weight compounds.
Although SPME generally exhibits better extraction efficiency as the polarity of the compound decreases, these three coatings can provide balanced metabolome coverage as long as most polar analytes are present at reasonable concentration levels. Absorbent coatings, such as PDMS, PA, and CW, were rarely employed in profiling studies. These coatings display selectivity based on polarity, resulting in poor metabolomic coverage. The second case is dynamic headspace sampling, which offers a highly concentrated sample that can be desorbed into a solvent at volumes suitable for multiple analyses. To date, it is the most frequently used technique in all areas of plant volatile analysis. Dynamic headspace sampling collects a much larger quantity of compounds at higher concentrations because the continuous stream of air allows the sorbent to act as a filter trapping the volatiles.
Also, push and pull headspace sampling, two examples of dynamic headspace sampling, allow to avoid problems often encountered with the sealed systems used in static headspace and closed-loop stripping methods including heat, water vapor, and, in the case of plants, ethylene accumulation that can affect not only sampling efficiency but also plant physiology. Among the several methods, closed-loop stripping systems have broad utility for the collection of volatiles: volatiles are collected during continuous circulation of HS air inside closed chambers in which air circulation pumps are connected to supporting columns or coated supports [22].
As an example, SPME is a versatile technique for in-field sampling handling as a non-destructive strategy for the study of the volatiles emitted ex-vivo, for example, by the whole cluster of grapes. In this case, an aluminum wire cage can be used to support a polymeric film to enclosing a whole cluster of grapes, and SPME fiber introduced through a port fitted with silicone septa (Figure 1a) [60]. Also, an interesting strategy for speed up the volatile’s uptake is vacuum-assisted SPME. For example, in-field sampling of volatiles from a single grape berry, a modified screw top, and a 2 mL glass vial can be used for fiber exposition. A syringe is usually used to create a negative pressure to hold the sampling device with SPME sealed unto the sample surface (Figure 1b) [60].
Alternatively, to the SPME, some liquid-phase microextractions (LPME), such as the single drop microextraction (SDME) or the hollow fiber liquid-phase microextraction (HF-LPME), can also provide efficient and profitable volatiles recoveries in the headspace static mode. For example, SDME is a technique based on a few microliters of solvent, in which volatiles can be capture in a small drop of extraction solvent-exposed to the headspace of the sample [20, 59]. In the same way, to address the drawbacks of the drop instability, the extraction solvent can be deposited into the lumen of a porous fiber HF-LPME, improving the extraction kinetics by use of a bigger transference surface or by the incorporation of an acceptor solvent into the membrane pores (Supported Liquid Membrane, SLM). Although the use of hazardous organic solvents can be considered a drawback, nowadays those solvent-based extractions can be performed with environmental-friendly alternatives, such as ionic liquids, deep eutectic solvents, or supramolecular solvents, among others.
The second type of headspace sampling is the dynamic headspace (DHS) method. It encompasses strategies in which VOCs are captured in a sorbent-packed trap by passing a continuous flow of inert dry gas through the sample. In this way, the emission of VOCs speeds up by the continuous renovation of the headspace fraction. After extraction, concentrated VOCs can be desorbed from the sorbent-packed trap with a suitable solvent or via thermal desorption. Besides, DHS address some drawbacks of the static modes such as the accumulation of water vapor or highly concentrated compounds, which presence can affect extraction efficiency. Two examples of dynamic headspace sampling which allow avoiding some drawbacks of the static mode, e.g., heat and water vapor accumulation that can affect not only sampling efficiency but also plant physiology, are closed-loop stripping and push and pull methods. These systems collect VOCs in sorbent-packed traps or coated devices, via the continuous circulation of gas inside closed circuits [22].
In addition to headspace sampling techniques, some sui generis approaches can combine two methods from different groups, for example, solvent-assisted flavor evaporation (SAFE). SAFE is an exhaustive extraction technique based on the high volatility rather than the polarity of the target compounds. In this case, a crude-extract from dry sample pieces is prepared with an appropriate solvent, such as dichloromethane, and then added into the dropping funnel and passed through a specific distillation chamber. Extraction takes place at high vacuum, and low-temperature conditions (20–30°C), and VOCs are collected in a cooled extraction vessel [61]. Other techniques including in this group are simultaneous extraction-distillation (SDE) and/or liquid–liquid extraction (LLE). Nevertheless, those can be subjected to some drawbacks, like the use of hazardous solvents, as well as the requirement of high temperatures and long extraction times, with potential formation of artifacts and degradation of some compounds.
Finally, volatile compounds also can be obtained for direct collection of the secretions of odoriferous glands or via non-invasive strategies using PDMS patches or swabs [22]. These techniques are especially useful in the monitoring of VOCs from animals. For example, obtaining the animal skin volatilome on PDMS patches is an excellent option [62]. Patches could be prepared by cutting a Silicone Elastomer Sheet (Goodfellows mfr. No. 942-965-49, Coraopolis, PA) and then carefully fix it on the animal skin with Tegaderm® dressings or water block clear Band-aids®. Alternatively, this procedure could be modified by gently swabbing the skin with or without previous stress-induced secretion. PDMS patches also can be placed into an animal enclosure and used without direct contact for capturing the volatiles that emanates in the headspace.
Currently, gas chromatography coupled to mass spectrometry (GC–MS) is the primary analytical technique for the elucidation of the volatilome profile from natural sources. In gas chromatography analytes elute according to their volatility carried by a gas, usually Helium, through a coated fused silica capillary using a temperature gradient. Separation occurs based on the differential partition between the gas phase and the coating and the eluting peaks will give a response in the detector. The sample is vaporized in the injection system before it enters the column.
Several injection systems can be used to introduce the sample onto the column. Split injection allows transferring to the column only controlled sample amounts and prevent overloading of the column, thanks to a split valve at the base of the hot injector that divides the flow between column and waste in a fixable ratio. High-concentration samples can easily overload the GC column, resulting in all active sites on the column becoming occupied and leading to additional analytes not being retained and therefore to poor chromatographic resolution. For trace analysis, the injector can be used in splitless mode, which allows the entire volume of sample vaporized in the injector to reach the column. An alternative to the split/splitless interface is the programmed temperature vaporizer (PTV). Samples are injected onto a cool (40–60°C) PTV where they are trapped and concentrated on different sorbent materials before the inlet is rapidly heated to desorb the sample onto the column.
Different selectivity and sizes of columns have been used for GC–MS–based metabolomic analysis. The most used phase is 5% phenyl, 95% methyl siloxane, which offers a sufficiently generic selectivity, optimal for metabolomic applications where analytes with a wide range of volatilities have to be separated. Capillary columns of 25 to 30 m will provide the highest resolution and are available in most phases. An important point for all capillary GC–MS work is the need to condition the column prior to running valuable samples. Sangster et al. have recommended that several quality control samples be run at the beginning of a sample batch to condition the column [63]. Care also needs to be taken to randomize the injection sequence in order not to compromise subsequent statistical analysis.
In GC–MS ionization of analytes is mainly produced by electron ionization (EI) or chemical ionization (CI), while ion separation is obtained by mass analyzers operating on different principles. In EI, analytes that elute from the GC column are vaporized into the ion source and collide with an electron beam at 70 eV. As a result of the high energy imparted by electrons to the vaporized molecules, characteristic fragmentation occurs, providing structural information. EI is very robust and highly reproducible between instruments, and spectral libraries are available that can be used to search for the identities of unknown compounds based on m/z and intensity ratios of the observed fragment ions. A disadvantage of EI is that fragmentation is usually so efficient that the intensity of the molecular ion can be extremely low or even lost. For CI, a reagent gas, such as methane or ammonia, is introduced into the source of the mass spectrometer. Protonated gas ions, produced by the collision with electrons originating from an electron beam, ionize the analytes eluting from the column after vaporization into the ion source. Significantly less energy than in EI is transferred to the analytes, and as a result, the dominant ion is usually the molecular ion.
Mass spectrometer based detectors are mainly used in metabolomic analysis and can be grouped according to the spectral information they provide, i.e., low-resolution instruments such as quadrupole mass spectrometer (qMS), ion-trap mass spectrometer (IT-MS), and high-speed time-of-flight mass spectrometer (TOF-MS) give nominal molecular weights and fragmentation of an analyte, while high-resolution instruments (high-resolution TOF-MS and hybrids) give the precise elemental composition of nominal masses. The single quadrupole mass analyzer is widely used and relatively inexpensive. The ions move along the axis of four parallel rods to which a direct current (DC) and an alternating current (AC) voltage are applied. These voltages affect the trajectory of ions traveling down the flight path between the rods in a way that only ions of a given m/z are transmitted at a given point in time. Scan speeds are rather low on quadrupole instruments, therefore considering the very high separation power of GC with peak widths of only a few seconds, it will be difficult to acquire several spectra across the width of a typical peak on a single quadrupole instrument. Time-of-flight (TOF) instruments are the most common mass analyzers in GC–MS–based metabolomics. The ions are accelerated in an electric field in which ions with the same charge will have the same kinetic energy, but different velocity depending on their mass-to-charge ratio (m/z). Successively, the ions enter a field-free region (flight tube) where they separate based on their m/z. TOF instruments are characterized by the fastest scan rate among all mass analyzers: a significant number of spectra can be acquired across each peak, leading to higher sensitivity and better spectral quality.
GC–MS has very high sensitivity and can therefore be used for the analysis of less commonly encountered samples that might only be available in trace amounts. Monodimensional GC–MS analysis provides suitable resolving-power for the analysis of relatively simple mixtures of VOCs. Nevertheless, volatilome samples can be very complex mixtures, involving a diverse plethora of chemical structures in a wide range of polarities, so that the restricted chromatographic resolution commonly limits the identification via MS to the more abundant compounds. Complex mixtures can be better resolved by employing comprehensive two-dimensional gas chromatography–mass spectrometry (GCxGC–MS), which has been defined as “…an orthogonal two-column separation, with complete transfer of a solute from the separation system 1 (column 1) to the separation system 2 (column 2), such that the separation performance from each system (column) is preserved” [64]. In GC × GC, two columns with different polarity—usually a nonpolar column in the first dimension and a moderately polar column for the second one—are run in series. Analytes eluting from the first dimension (1D) column are trapped, focused, and then rapidly injected, as a narrow band of few milliseconds, in the second dimension (2D) column, then the eluting peaks are detected by MS. The transfer process is actuated by a modulator, a thermal or valve-based focusing system. Each single modulator cycle takes a fixed time (4–8 s) and each fraction, injected online into the second column must be analyzed in a time equal to that of the successive modulation. The challenge is to avoid continuously transmitting analyte onto the second column, which would lead to a loss of resolution. A solution to this problem is to make the separation on the second column much faster than the separation on the first column. The volume of data generated is significantly larger than the one obtained in a one-dimensional analysis. However, this approach allows for better separation of the number of components in the sample. Although single qMS instruments are cheaper, can provide very low LODs via selected ion monitoring (SIM), and can provide maximum acquisition rates (20,000 amu/s) suitable for metabolic profiling, TOF has become the preferentially MS analyzers for GCxGC volatilome analysis. TOF-MS instruments are capable of full-spectrum collection rates up to 500 Hz with improved sensitivity. Besides the high-resolution mass spectrometry (HRMS) provide accurate mass data, which increases the identification confidence and allows to annotate molecular formulas for unknown compounds, being especially useful in untargeted metabolomic studies.
Metabolite identification remains a major complication. Although EI generates highly reproducible fragmentation spectra, only a relatively small percentage of metabolites can be identified by searching databases, mainly because these have traditionally been a repository of EI spectra of synthetic organic compounds. Only recently, the number of metabolite spectra started to increase. A more powerful identification method involves comparing both EI/CI spectra and retention indices obtained from analyzing a reference compound under identical analytical conditions. If commercial standards are not available, metabolite identification can be cumbersome.
Retention indexes (RI) were first introduced by Kováts [28] for isothermal analysis and then by Van den Dool [65] for temperature-programmed analysis (linear retention indices, LRIs) and are calculated vs. a homologous series of linear hydrocarbons run in the same GC conditions as samples. RI can also be automatically calculated using the Automated Mass Spectral Deconvolution and Identification System (AMDIS), freely available from the National Institute of Standards and Technology (NIST) at this site (http://www.amdis.net/).
In order to achieve the identification of unknown compounds, their background-subtracted EI spectra are searched against EI libraries (such as the NIST library) to achieve identification. Values of
The high variability of data obtained from the investigated matrix composition makes it hard to indicate a universal approach to quantitatively evaluate the volatilome composition. The most widely used approaches are: (a) relative percentage abundance, (b) internal standard normalized percentage abundance, and (c) “absolute” or true quantitation of one or more target components, with or without a validated method. Relative percentage abundance can be applied only to evaluate relative component ratios within the same sample. Internal standard normalized percentage abundance is the ideal approach when a group of samples is compared: raw data must first be corrected vs. analyte response factors to the detector, then normalized vs. an internal standard. Percentage abundance must be calculated vs. the sum of the areas of a fixed number of selected components, found in all the samples. The quantitation of marker components is obtained from the chromatographic area in SIM mode vs. an internal (or external) standard and calculated via a calibration curve constructed from amounts of pure standards in the selected concentration range.
Some common non-separative techniques used in the study of volatilome using mass spectrometry are selected-ion flow-tube mass spectrometry (SIFT-MS) and proton-transfer-reaction mass spectrometry (PTR-MS). These techniques are focused on the use of soft chemical ionization, allow on-line detection of VOCs with low levels of detection without the need for pre-concentration or sample preparation, which facilitates obtaining reproducible results. For example, Vendel and co-workers [66], used SIFT-MS and HS-SPME-GC–MS for the analysis of strawberry aroma. Although both techniques provided similar results in the study of the fruit ripening, the SIFT-MS analysis was about 11 times faster than HS-SPME-GC–MS. Moreover, SIFT-MS showed low detection limits, so that the postharvest analysis can be easily performed by the analysis of individual fruit. Capellin and collaborators [67] developed a similar study was using PTR-TOF-MS to study the volatilome of clones belonging to three types of apple. They concluded that PTR-TOF-MS is a very useful tool for volatilome studies once this technique allows obtaining a rapid and non-invasive fingerprint of the VOCs profile from single apple fruits.
With an alternative focus, the chromatographic system can be coupled to an olfactometer detector to identify the aroma-active compounds present in a determinate volatilome. This type of analysis allows determining the compounds which generate a positive response to the electronic noise detector, obtaining their identification by comparison of the mass spectrum, retention index, and odor descriptions with reference compounds. Using gas chromatography-olfactometry-mass spectrometry (GC-O-MS), Zhu and co-workers [68] studied the volatile profile of three cultivars of mulberries, establishing benzaldehyde, ethyl butanoate, (E)-2-nonenal, 1-hexanol, hexanal, methional, 3-mercaptohexyl acetate, and 3-mercapto-1-hexanol as the main compounds responsible for the characteristic aroma of mulberry.
Once the raw data have been acquired following chromatographic separation and mass spectrometry analysis, the large amount of data generated needs to be processed following a standardized procedure that includes data conversion, pre-processing, pre-treatment, and metabolite annotation [69]. An additional step, sharing data derived from any metabolomics analysis, currently is optional for researchers but highly recommended.
Data processing starts with a set of raw data files for different samples. Usually, default vendor formats from instruments need a conversion. A useful toolkit compatible with several instruments formats is ProteoWizard (http://proteowizard.sourceforge.net/download.html) [70]. Open-source formats usually supported by many software packages are Network Common Data Form (NetCDF) [71], Extensible Markup Language (mzXML) [72], and Mass Spectrometry Markup Language (mzmL) [73]. Each file is processed to an easily accessible and more informative data table, where rows represent samples and columns represent different features from volatilome. Values from this matrix represent intensity values of peak area/height, standing for relative concentration. The data should be checked for missing values and possible outliers.
Pre-processing involves setting different filters to recognize signals from noise, select masses or intensities to perform feature detection, and finally adjust the retention time shifts parameters needed to align features throughout all samples. The aim of pre-processing is to minimize the number of false positives features and to establish quantitative procedures for discarding less reliable signals with low signal-to-noise ratio, or low prevalence within a similar set of samples [74].
Pre-treatment or data correction is one of the most important steps from data analysis because systematic and technical variation could obscure relevant biological patterns. The variation in the data resulting from a metabolomics experiment is the sum of the induced variation and the total uninduced variation [75]. Some sources of variation could be controlled by researchers through a careful experimental design. In other cases, this variation is very difficult to control. Natural variation in the metabolism of an organism can cause 5000-fold differences in signal intensities for different metabolites, or sampling could not be performed on the exact conditions for all samples, sample work-up varies naturally between batches, and analytical errors are always present. This variation could be accounted for using different classes of corrections that include centering, scaling, transformation, and normalization of raw data and several methods are available to do so (e.g., autoscaling, pareto scaling, range scaling, vast scaling, log transformation, and power transformation, normalization by sum, normalization by a reference sample). The selection of the most appropriate method depends on the hypothesis to be tested and the statistical behavior of the data matrix. Before applying pre-treatment methods, it is required to check if data is fit for analysis. For example, performing the treatment may enhance the results of a clustering method (if the hypothesis is related to comparison of similarities), while obscuring the results of a Principal Component Analysis (PCA) (if in contrast, the hypothesis is related with determining redundancy between metabolites) [75].
The analysis by comparison with pure standards of different family of compounds is advisable, in order to compare the retention rates of the compounds. However, the characterization of a certain metabolite that there are no pure standards, its determination can be done by comparison with homologues of a certain family of compounds, which the detailed analysis of the fragmentation pattern. Metabolite annotation is still challenging despite all efforts made for establishing specialized databases with mass spectral properties of different metabolites. Annotation and identification levels for metabolites were defined by the Chemical Analysis Working Group of the Metabolomics Standards Initiative (MSI). Level 1 indicates compromise identified compounds, level 2 is used for putatively annotated compounds, level 3 is used for putatively characterized compound classes, and level 4 is used for unidentified or unclassified metabolites that still can be differentiated and quantified based upon spectral data. Dark matter, also called “unknown unknowns”, represents the majority of metabolites analyzed on a metabolomics experiment, because instruments collect much more information than it is currently possible to annotate [76]. It is estimated that an average of only 2% of the data can be annotated. This is even a most common problem in metabolomics analysis from animals because many databases are specialized in human-derived metabolites, or some molecular structures from animals have been solved but are absent from the reference databases. Analysis from non-model organisms tends to have a higher number of truly novel compounds, called “unknown unknowns” [77]. As it is impossible to collect spectra for every molecule in the universe, computer-generated (in silico) spectral prediction algorithms are also recommended during metabolite annotation such as CSI:FingerID (https://www.csi-fingerid.uni-jena.de/) and Competitive Fragmentation Modeling-ID (CFM-ID, https://cfmid.wishartlab.com/) for analyzing fragmentation patterns. For volatilome analysis NIST (https://www.mswil.com/software/spectral-libraries-and-databases/nist20/) and Wiley (https://www.mswil.com/software/spectral-libraries-and-databases/wiley-spectral-libraries/wiley-gcms-libraries/) electronic collections are the most used mass spectra databases. The Dictionary of Natural Products (DNP) (http://dnp.chemnetbase.com/faces/chemical/ChemicalSearch.xhtml;jsessionid=DBE98AD72918A1607A7E739064D0DB21), Pherobase (https://www.pherobase.com/), Human Metabolome Database (HMDB) (https://hmdb.ca/), METLIN (https://metlin.scripps.edu/landing_page.php?pgcontent=mainPage), MassBank Japan (http://www.massbank.jp/), MassBank Europe (https://massbank.eu/MassBank/), MassBank North America (https://mona.fiehnlab.ucdavis.edu/), Supernatural II (http://bioinf-applied.charite.de/supernatural_new/index.php), ChEMBL (https://www.ebi.ac.uk/chembl/), Mass Spectral and GC Data of Drugs, Poisons, Pesticides, Pollutants, and Their Metabolites (https://www.wiley.com/en-gb/Mass+Spectral+and+GC+Data+of+Drugs%2C+Poisons%2C+Pesticides%2C+Pollutants%2C+and+Their+Metabolites%2C+5th+Edition-p-9783527342877) and vocBinBase (https://bitbucket.org/fiehnlab/binbase/src/master/) are other useful resources. When compound annotation is not possible and only chemical class could be assigned to a metabolite it is recommended to employ the comprehensive, and computable chemical taxonomy from Classyfire (http://classyfire.wishartlab.com/). See [78] for a review focused on mass spectral databases for LC/MS- and GC/MS-based metabolomics. For the analysis of mVOCs, in 2014 was developed a software that allows the characterization of mass spectra obtained in microorganisms. It was updated in 2018 with more than 2000 compounds from more than 1000 species, which is called mVOC database 2.0 (http://bioinformatics.charite.de/mvoc) [79]. With this tool a more precise characterization of the different volatilome of the microbes studied at present is achieved.
Select the univariate statistics according to the variables of interest. T-test, U-test, and analysis of variance (ANOVA) are the most common univariate statistics employed for data mining in volatilomics. As datasets usually include a large number of features, the significance level should be determined appropriately to reduce the number of false positives and false negatives. For reducing false positive, family wise error rate (FWER) correction, such as a Bonferroni correction, is a conservative approach, in which the p-values are multiplied by the number of comparisons. In contrast, for reducing false negatives, false discovery rate (FDR) correction is a highly sensitive method [80].
Multivariate statistical methods are very powerful at summarizing large and multidimensional data generated from volatilomics. Exactly as for pre-treatment methods, multivariable analysis should be chosen carefully and selected coherently with the hypothesis of interest and methods used for data pretreatment. Unsupervised approaches and supervised approaches differ in how samples are grouped within the multivariate calculations. Unsupervised solely have access to the matrix to find features useful for grouping and categorizing the samples. Clustering methods, such as hierarchical clustering (HCA), K-means clustering, self-organizing maps, principal component analysis (PCA) are among this group. Once the data have been analyzed by unsupervised methods, supervised methods (e.g. partial least squares discriminant analysis (PLD-DA), artificial neural networks, and evolutionary algorithms) should be applied for further evaluation [81]. Supervised methods have access to qualitative or quantitative traits (e.g., specie, location, body size, tissue type) and the matrix of measurements and can classify samples. Volcano plots have also recently been used to identify significantly covarying metabolites in binary comparisons. Volcano plots show each features’ statistical significance, p-value, on the y-axis, and fold change along the x-axis [82].
Correlation networks is a visualization tool that summarizes positive and negative correlations found between samples that represent different biological process [69]. Molecular networking organizes metabolite features from a volatilomics analysis into a connectivity network based on similarities in molecular fragmentation patterns obtained from mass spectrometry [82]. This analysis cluster families of molecules through vector correlations between fragment ions and enhance the interpretation of volatilome differentiation using a chemically informed visualization. Also, it enhances the annotation process with experimental and in silico databases [83]. When it is possible to combine Volatilomic and Genomic analysis, molecular networking can also be useful to prioritize features by linking observed natural products to their cognate biosynthetic gene clusters and gene cluster families [82].
Recently, many researchers have shared raw data files on open repositories, and this has motivated computer scientists to develop modern algorithms for facilitating the comparison of MS spectra obtained in different conditions [78]. This comparison still needs human inspection from experts trained in mass spectrometry fragmentation patterns, because is not an automatic process. Some examples of sites that allow raw experimental data to be shared in public repositories include MetaboLights (http://www.ebi.ac.uk/metabolights/), the Metabolomics Workbench (https://www.metabolomicsworkbench.org/), XCMS Online (https://xcmsonline.scripps.edu/landing_page.php?pgcontent=mainPage), MetabolomeExpress (https://www.metabolome-express.org/), GNPS (https://gnps.ucsd.edu/ProteoSAFe/static/gnps-splash.jsp) and the Metabolomic Repository Bordeaux (http://services.cbib.u-bordeaux.fr/MERYB/).
Current technological advances in sample collection, extraction techniques, volatile profiling, and data processing allow that the analysis of an invisible world where VOCs mediates different ecological processes could recover a more accurate picture of the complex chemical communication that occurs in nature. Different combinations of procedures need to be followed by researchers with the aim to answer specific scientific questions or hypotheses. Microextraction techniques emerge as tools for increasing extraction efficiency and at the same time facilitating faster extraction times without the environmental impact of large volume solvent wastes. Gas chromatography has played a fundamental role to detect volatile compounds often present as trace levels. Mass spectrometry has proved to be the preferred technique for the structure elucidation of new compounds and annotation of known VOCs. Current improvements in data analysis allow to extract of more biologically relevant information from a single study and to standardize procedures for evaluating hypothesis properly. All these steps are of paramount importance to evaluate both the ecological function of these compounds and the economic value in the medical, agricultural, flavor, and fragrance industry.
The authors thank the Department of Chemistry and Vicerrectoria de Investigaciones at Universidad de los Andes, Bogotá, Colombia for financial support. We wish to thank to Ministerio de Ciencia, Tecnología e Innovación (MinCiencias) for Julie Paulin Garcia Rodriguez (No 679), Mabel Gonzalez (No 757) and Gerson-Dirceu López (No 785), as well as the support to No. 44842-058-2018 and No. 80740-532-2019 projects. Also, the Faculty of Sciences of the Universidad de los Andes forgivable loan and research funds (INV-2018-2033-1259, INV-2019-2067-1747, INV-2018-2048-1338, and INV-2019-2086-1843). Scholarship granted by Fulbright to Mabel González as a Visiting Scholar at the Dorrestein Laboratory at Skaggs School of Pharmacy & Pharmaceutical Sciences, University of California, San Diego, United States.
The authors declare no conflict of interest.
1D | First-Dimension |
2D | Second-Dimension |
AC | Alternating Current |
AMDIS | Automated Mass Spectral Deconvolution and Identification System |
ANOVA | Analysis of variance |
ATCC | American Type Culture Collection |
CAR | Carboxen |
CFM-ID | Competitive Fragmentation Modeling-Id |
CI | Chemical Ionization |
CITES | Convention on International Trade in Endangered Species of Wild Fauna and Flora |
CW | Carbowax |
DC | Direct Current |
SDE | Simultaneous Extraction-Distillation |
DHS | Dynamic Headspace |
DNP | Dictionary of Natural Products |
DVB | Divinylbenzene |
EI | Electron Ionization |
EOs | Essential Oils |
FWER | Family Wise Error Rate |
FDR | False Discovery Rate |
GC | Gas Chromatography |
GC–MS | Gas Chromatography–Mass Spectrometry |
GC-O-MS | Gas Chromatography-Olfactometry-Mass Spectrometry |
GNPS | Global Natural Products Social Networking |
GCxGC | Comprehensive Two-Dimensional Gas Chromatography |
HCA | Hierarchical Clustering |
HF-LPME | Hollow Fiber Liquid-Phase Microextraction |
HMDB | Human Metabolome Database |
HRMS | High-Resolution Mass Spectrometry |
HS | Headspace |
IT-MS | Ion-Trap Mass Spectrometer |
LLE | Liquid–Liquid Extraction |
LPME | Liquid-Phase Microextractions |
LRI | Linear Retention Indices |
MS | Mass Spectrometer |
MSI | Metabolomics Standards Initiative |
mVOCs | Microbial Volatile Organic Compounds |
m/z | Mass-To-Charge Ratio |
mzmL | Mass Spectrometry Markup Language |
mzXML | Extensible Markup Language |
NetCDF | Network Common Data Form |
NIST | National Institute of Standards and Technology |
PA | Polyacrylate |
PCA | Principal Component Analysis |
PDMS | Polydimethylsiloxane |
PLD-DA | Partial Least Squares Discriminant Analysis |
PTR-MS | Proton-Transfer-Reaction Mass Spectrometry |
PTV | Programmed Temperature Vaporizer |
RI | Retention indexes |
qMS | Quadrupole Mass Spectrometer |
SAFE | Solvent Assisted Flavor Evaporation |
SBSE | Stir Bar Sorptive Extraction |
SDME | Single Drop Microextraction |
SIFT-MS | Selected-Ion Flow-Tube Mass Spectrometry |
SIM | Selected Ion Monitoring |
SLM | Supported Liquid Membrane |
SPE | Solid-Phase Extraction |
SPME | Solid-Phase Microextraction |
TOF-MS | Time-of-Flight Mass Spectrometer |
VOCs | Volatile Organic Compounds |
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The nanoparticles’ unique physical and chemical properties render them most appropriate for a number of specialist applications.",book:{id:"9109",slug:"engineered-nanomaterials-health-and-safety",title:"Engineered Nanomaterials",fullTitle:"Engineered Nanomaterials - Health and Safety"},signatures:"Takalani Cele",authors:[{id:"305934",title:"Dr.",name:"Takalani",middleName:null,surname:"Cele",slug:"takalani-cele",fullName:"Takalani Cele"}]},{id:"72636",title:"Nanocomposite Materials",slug:"nanocomposite-materials",totalDownloads:2139,totalCrossrefCites:5,totalDimensionsCites:11,abstract:"Nanocomposites are the heterogeneous/hybrid materials that are produced by the mixtures of polymers with inorganic solids (clays to oxides) at the nanometric scale. Their structures are found to be more complicated than that of microcomposites. They are highly influenced by the structure, composition, interfacial interactions, and components of individual property. Most popularly, nanocomposites are prepared by the process within in situ growth and polymerization of biopolymer and inorganic matrix. With the rapid estimated demand of these striking potentially advanced materials, make them very much useful in various industries ranging from small scale to large to very large manufacturing units. With a great deal to mankind with environmental friendly, these offer advanced technologies in addition to the enhanced business opportunities to several industrial sectors like automobile, construction, electronics and electrical, food packaging, and technology transfer.",book:{id:"10072",slug:"nanotechnology-and-the-environment",title:"Nanotechnology and the Environment",fullTitle:"Nanotechnology and the Environment"},signatures:"Mousumi Sen",authors:[{id:"310218",title:"Dr.",name:"Mousumi",middleName:null,surname:"Sen",slug:"mousumi-sen",fullName:"Mousumi Sen"}]},{id:"38951",title:"Carbon Nanotube Transparent Electrode",slug:"carbon-nanotube-transparent-electrode",totalDownloads:3985,totalCrossrefCites:3,totalDimensionsCites:5,abstract:null,book:{id:"3077",slug:"syntheses-and-applications-of-carbon-nanotubes-and-their-composites",title:"Syntheses and Applications of Carbon Nanotubes and Their Composites",fullTitle:"Syntheses and Applications of Carbon Nanotubes and Their Composites"},signatures:"Jing Sun and Ranran Wang",authors:[{id:"153508",title:"Prof.",name:"Jing",middleName:null,surname:"Sun",slug:"jing-sun",fullName:"Jing Sun"},{id:"153596",title:"Ms.",name:"Ranran",middleName:null,surname:"Wang",slug:"ranran-wang",fullName:"Ranran Wang"}]},{id:"49413",title:"Electrodeposition of Nanostructure Materials",slug:"electrodeposition-of-nanostructure-materials",totalDownloads:3732,totalCrossrefCites:1,totalDimensionsCites:7,abstract:"We are conducting a multi-disciplinary research work that involves development of nanostructured thin films of semiconductors for different applications. Nanotechnology is widely considered to constitute the basis of the next technological revolution, following on from the first Industrial Revolution, which began around 1750 with the introduction of the steam engine and steelmaking. Nanotechnology is defined as the design, characterization, production, and application of materials, devices and systems by controlling shape and size of the nanoscale. The nanoscale itself is at present considered to cover the range from 1 to 100 nm. All samples prepared in thin film forms and the characterization revealed their nanostructure. The major exploitation of thin films has been in microelectronics, there are numerous and growing applications in communications, optical electronics, coatings of all kinds, and in energy generation. A great many sophisticated analytical instruments and techniques, largely developed to characterize thin films, have already become indispensable in virtually every scientific endeavor irrespective of discipline. Among all these techniques, electrodeposition is the most suitable technique for nanostructured thin films from aqueous solution served as samples under investigation. The electrodeposition of metallic layers from aqueous solution is based on the discharge of metal ions present in the electrolyte at a cathodic surface (the substrate or component.) The metal ions accept an electron from the electrically conducting material at the solid- electrolyte interface and then deposit as metal atoms onto the surface. The electrons necessary for this to occur are either supplied from an externally applied potential source or are surrendered by a reducing agent present in solution (electroless reduction). The metal ions themselves derive either from metal salts added to solution, or by the anodic dissolution of the so-called sacrificial anodes, made of the same metal that is to be deposited at the cathode.",book:{id:"4718",slug:"electroplating-of-nanostructures",title:"Electroplating of Nanostructures",fullTitle:"Electroplating of Nanostructures"},signatures:"Souad A. M. Al-Bat’hi",authors:[{id:"174793",title:"Dr.",name:"Mohamad",middleName:null,surname:"Souad",slug:"mohamad-souad",fullName:"Mohamad Souad"}]},{id:"71346",title:"Application of Nanomaterials in Environmental Improvement",slug:"application-of-nanomaterials-in-environmental-improvement",totalDownloads:1691,totalCrossrefCites:0,totalDimensionsCites:13,abstract:"In recent years, researchers used many scientific studies to improve modern technologies in the field of reducing the phenomenon of pollution resulting from them. In this chapter, methods to prepare nanomaterials are described, and the main properties such as mechanical, electrical, and optical properties and their relations are determined. The investigation of nanomaterials needed high technologies that depend on a range of nanomaterials from 1 to 100 nm; these are scanning electron microscopy (SEM), transmission electron microscopy (TEM), and X-ray diffractions (XRD). The applications of nanomaterials in environmental improvement are different from one another depending on the type of devices used, for example, solar cells for producing clean energy, nanotechnologies in coatings for building exterior surfaces, and sonochemical decolorization of dyes by the effect of nanocomposite.",book:{id:"10072",slug:"nanotechnology-and-the-environment",title:"Nanotechnology and the Environment",fullTitle:"Nanotechnology and the Environment"},signatures:"Ali Salman Ali",authors:[{id:"313275",title:"Associate Prof.",name:"Ali",middleName:null,surname:"Salman",slug:"ali-salman",fullName:"Ali Salman"}]}],onlineFirstChaptersFilter:{topicId:"208",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81438",title:"Research Progress of Ionic Thermoelectric Materials for Energy Harvesting",slug:"research-progress-of-ionic-thermoelectric-materials-for-energy-harvesting",totalDownloads:24,totalDimensionsCites:0,doi:"10.5772/intechopen.101771",abstract:"Thermoelectric material is a kind of functional material that can mutually convert heat energy and electric energy. It can convert low-grade heat energy (less than 130°C) into electric energy. Compared with traditional electronic thermoelectric materials, ionic thermoelectric materials have higher performance. The Seebeck coefficient can generate 2–3 orders of magnitude higher ionic thermoelectric potential than electronic thermoelectric materials, so it has good application prospects in small thermoelectric generators and solar power generation. According to the thermoelectric conversion mechanism, ionic thermoelectric materials can be divided into ionic thermoelectric materials based on the Soret effect and thermocouple effect. They are widely used in pyrogen batteries and ionic thermoelectric capacitors. The latest two types of ionic thermoelectric materials are in this article. The research progress is explained, and the problems and challenges of ionic thermoelectric materials and the future development direction are also put forward.",book:{id:"10037",title:"Thermoelectricity - Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10037.jpg"},signatures:"Jianwei Zhang, Ying Xiao, Bowei Lei, Gengyuan Liang and Wenshu Zhao"},{id:"77670",title:"Thermoelectric Elements with Negative Temperature Factor of Resistance",slug:"thermoelectric-elements-with-negative-temperature-factor-of-resistance",totalDownloads:72,totalDimensionsCites:0,doi:"10.5772/intechopen.98860",abstract:"The method of manufacturing of ceramic materials on the basis of ferrites of nickel and cobalt by synthesis and sintering in controllable regenerative atmosphere is presented. As the generator of regenerative atmosphere the method of conversion of carbonic gas is offered. Calculation of regenerative atmosphere for simultaneous sintering of ceramic ferrites of nickel and cobalt is carried out. It is offered, methods of the dilated nonequilibrium thermodynamics to view process of distribution of a charge and heat along a thermoelement branch. The model of a thermoelement taking into account various relaxation times of a charge and warmth is constructed.",book:{id:"10037",title:"Thermoelectricity - Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10037.jpg"},signatures:"Yuri Bokhan"},{id:"79236",title:"Processing Techniques with Heating Conditions for Multiferroic Systems of BiFeO3, BaTiO3, PbTiO3, CaTiO3 Thin Films",slug:"processing-techniques-with-heating-conditions-for-multiferroic-systems-of-bifeo3-batio3-pbtio3-catio",totalDownloads:96,totalDimensionsCites:0,doi:"10.5772/intechopen.101122",abstract:"In this chapter, we have report a list of synthesis methods (including both synthesis steps & heating conditions) used for thin film fabrication of perovskite ABO3 (BiFeO3, BaTiO3, PbTiO3 and CaTiO3) based multiferroics (in both single-phase and composite materials). The processing of high quality multiferroic thin film have some features like epitaxial strain, physical phenomenon at atomic-level, interfacial coupling parameters to enhance device performance. Since these multiferroic thin films have ME properties such as electrical (dielectric, magnetoelectric coefficient & MC) and magnetic (ferromagnetic, magnetic susceptibility etc.) are heat sensitive, i.e. ME response at low as well as higher temperature might to enhance the device performance respect with long range ordering. The magnetoelectric coupling between ferromagnetism and ferroelectricity in multiferroic becomes suitable in the application of spintronics, memory and logic devices, and microelectronic memory or piezoelectric devices. In comparison with bulk multiferroic, the fabrication of multiferroic thin film with different structural geometries on substrate has reducible clamping effect. A brief procedure for multiferroic thin film fabrication in terms of their thermal conditions (temperature for film processing and annealing for crystallization) are described. Each synthesis methods have its own characteristic phenomenon in terms of film thickness, defects formation, crack free film, density, chip size, easier steps and availability etc. been described. A brief study towards phase structure and ME coupling for each multiferroic system of BiFeO3, BaTiO3, PbTiO3 and CaTiO3 is shown.",book:{id:"10037",title:"Thermoelectricity - Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10037.jpg"},signatures:"Kuldeep Chand Verma and Manpreet Singh"},{id:"78034",title:"Quantum Physical Interpretation of Thermoelectric Properties of Ruthenate Pyrochlores",slug:"quantum-physical-interpretation-of-thermoelectric-properties-of-ruthenate-pyrochlores",totalDownloads:78,totalDimensionsCites:0,doi:"10.5772/intechopen.99260",abstract:"Lead- and lead-yttrium ruthenate pyrochlores were synthesized and investigated for Seebeck coefficients, electrical- and thermal conductivity. Compounds A2B2O6.5+z with 0 ≤ z < 0.5 were defect pyrochlores and p-type conductors. The thermoelectric data were analyzed using quantum physical models to identify scattering mechanisms underlying electrical (σ) and thermal conductivity (κ) and to understand the temperature dependence of the Seebeck effect (S). In the metal-like lead ruthenates with different Pb:Ru ratios, σ (T) and the electronic thermal conductivity κe (T) were governed by ‘electron impurity scattering’, the lattice thermal conductivity κL (T) by the 3-phonon resistive process (Umklapp scattering). In the lead-yttrium ruthenate solid solutions (Pb(2-x)YxRu2O(6.5±z)), a metal–insulator transition occurred at 0.2 moles of yttrium. On the metallic side (<0.2 moles Y) ‘electron impurity scattering’ prevailed. On the semiconductor/insulator side between x = 0.2 and x = 1.0 several mechanisms were equally likely. At x > 1.5 the Mott Variable Range Hopping mechanism was active. S (T) was discussed for Pb-Y-Ru pyrochlores in terms of the effect of minority carrier excitation at lower- and a broadening of the Fermi distribution at higher temperatures. The figures of merit of all of these pyrochlores were still small (≤7.3 × 10−3).",book:{id:"10037",title:"Thermoelectricity - Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10037.jpg"},signatures:"Sepideh Akhbarifar"},{id:"77635",title:"Optimization of Thermoelectric Properties Based on Rashba Spin Splitting",slug:"optimization-of-thermoelectric-properties-based-on-rashba-spin-splitting",totalDownloads:124,totalDimensionsCites:0,doi:"10.5772/intechopen.98788",abstract:"In recent years, the application of thermoelectricity has become more and more widespread. Thermoelectric materials provide a simple and environmentally friendly solution for the direct conversion of heat to electricity. The development of higher performance thermoelectric materials and their performance optimization have become more important. Generally, to improve the ZT value, electrical conductivity, Seebeck coefficient and thermal conductivity must be globally optimized as a whole object. However, due to the strong coupling among ZT parameters in many cases, it is very challenging to break the bottleneck of ZT optimization currently. Beyond the traditional optimization methods (such as inducing defects, varying temperature), the Rashba effect is expected to effectively increase the S2σ and decrease the κ, thus enhancing thermoelectric performance, which provides a new strategy to develop new-generation thermoelectric materials. Although the Rashba effect has great potential in enhancing thermoelectric performance, the underlying mechanism of Rashba-type thermoelectric materials needs further research. In addition, how to introduce Rashba spin splitting into current thermoelectric materials is also of great significance to the optimization of thermoelectricity.",book:{id:"10037",title:"Thermoelectricity - Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10037.jpg"},signatures:"Zhenzhen Qin"},{id:"75364",title:"Challenges in Improving Performance of Oxide Thermoelectrics Using Defect Engineering",slug:"challenges-in-improving-performance-of-oxide-thermoelectrics-using-defect-engineering",totalDownloads:214,totalDimensionsCites:0,doi:"10.5772/intechopen.96278",abstract:"Oxide thermoelectric materials are considered promising for high-temperature thermoelectric applications in terms of low cost, temperature stability, reversible reaction, and so on. Oxide materials have been intensively studied to suppress the defects and electronic charge carriers for many electronic device applications, but the studies with a high concentration of defects are limited. It desires to improve thermoelectric performance by enhancing its charge transport and lowering its lattice thermal conductivity. For this purpose, here, we modified the stoichiometry of cation and anion vacancies in two different systems to regulate the carrier concentration and explored their thermoelectric properties. Both cation and anion vacancies act as a donor of charge carriers and act as phonon scattering centers, decoupling the electrical conductivity and thermal conductivity.",book:{id:"10037",title:"Thermoelectricity - Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10037.jpg"},signatures:"Jamil Ur Rahman, Gul Rahman and Soonil Lee"}],onlineFirstChaptersTotal:6},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},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:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,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:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,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:null,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:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{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"}}}},{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"}}}}]},series:{item:{id:"24",title:"Sustainable Development",doi:"10.5772/intechopen.100361",issn:null,scope:"