Summary of recent published clinical trials for new drugs used in the treatment of asthma (from 1 January 2013 to 1 January 2016).
\r\n\tThis book aims to provide a comprehensive overview for the robotic interaction including dynamic modeling and control aspects in order to provide a guide for designers of robotic controllers. Furthermore, it helps the roboticists to select the right model, control architecture and accordingly design the appropriate control algorithm for robotic interactive task with respect to the implemented robotic technology.
",isbn:null,printIsbn:null,pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"9531ee9c84fd27d3e5f84caf963632b3",bookSignature:"Dr. Ali Leylavi Shoushtari and Prof. Andon Venelinov Topalov",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/8359.jpg",keywords:"Robotic physical interaction, Human - robot interaction, Kinematics, Dynamics, Interactive tasks, Motion planning, Anthropomorphic manipulators, Compliant joint, Back-drivability, Control approaches, Safety in robotic interaction, Soft robotics",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"July 9th 2018",dateEndSecondStepPublish:"July 30th 2018",dateEndThirdStepPublish:"September 28th 2018",dateEndFourthStepPublish:"December 17th 2018",dateEndFifthStepPublish:"February 15th 2019",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"4 years",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"266351",title:"Dr.",name:"Ali",middleName:null,surname:"Leylavi Shoushtari",slug:"ali-leylavi-shoushtari",fullName:"Ali Leylavi Shoushtari",profilePictureURL:"https://mts.intechopen.com/storage/users/266351/images/system/266351.png",biography:"He received his PhD in Biorobotics from Scuola Superiore Sant\\'Anna, Pisa and MSc in Mechatronics from South Tehran Branch, Azad University. During his PhD he designed and developed Bio-inspired inverse kinematic algorithm for anthropomorphic robotic manipulators, and designed and developed a unified motion planning and compliance control framework for upper-arm Neuro-rehabilitation robotic task. Persued research on design, fabrication and modeling or soft origami actuators in Center for Micro-BioRobotics (CMBR), IIT as a postdoctoral researcher. In 2019, the Farm Tech Group joined Wageningen University & Research and is currently working on soft adhesive grippers for delicate crop handling. The project is in collaboration with the Department of Experimental Zoology, WUR to take inspiration from adhesive properties of tree frog fingertip and Department of Physical Chemistry and Soft Matter in order to develop fabrication methods for soft actuators and sensor.",institutionString:"Wageningen University & Research",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Wageningen University & Research",institutionURL:null,country:{name:"Netherlands"}}}],coeditorOne:{id:"147800",title:"Prof.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",profilePictureURL:"https://mts.intechopen.com/storage/users/147800/images/system/147800.jpeg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. He has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:"Technical University of Sofia, branch in Plovdiv",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:null},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"22",title:"Robotics",slug:"physical-sciences-engineering-and-technology-robotics"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"247041",firstName:"Dolores",lastName:"Kuzelj",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/247041/images/7108_n.jpg",email:"dolores@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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Although no cure exists, symptoms are treatable in most patients [1]. Statistically, the number of asthmatic cases has been on the rise over the past 10 years and affecting up to 10% of adults and 20% of children worldwide [2]. Globally, more than 300 million people are asthmatics, and this estimate is predicted to become 400 million by 2025 [3]. The worldwide economic burden caused by asthma is predicted to be more than that of both acquired immunod eficiency syndrome (AIDS) and tuberculosis combined together. For example, in the United States of America, the annual asthma care costs exceed US$6 billion [4]. Moreover, these numbers are due to the fact that more than 50% of asthmatic cases are poorly controlled by medication, since the response to treatments varies considerably among patients despite having similar clinical features [3, 5]. Asthma is characterized by altered and distinct clinical changes in the lung airways obstructing the flow of air into the lungs. The most prominent airway remodeling features include epithelial and subepithelial layer thickening, increased airway smooth muscle (ASM) mass, and angiogenesis [6]. Different classes of asthma therapies address one or more of the phenotypes of asthma; however, the heterogeneous nature of the disease prevents homogeneous clinical outcomes in response to the current treatment guidelines [7].
\nIn the past two decades, the field of human genetics has evolved due to the advancements in the human genome project and high-throughput sequencing technologies [8, 9]. Currently, the advances in genetic, pharmacodynamic, and pharmacokinetic studies, analyzing responsiveness of patients to various therapies, may eventually allow to prescribe personalized treatment and to shift asthma therapies from classical standards, using mostly corticosteroids and β-adrenergic agonists, to a highly tailored approach [10]. Future genetic profiles of the population would form the basis of tomorrow’s treatments in order to potentiate the required therapeutic benefits, and to diminish any possible adverse effect risks. Overall, there remains a great need for comprehensive drug research, paralleled with high-throughput genetic profiling, in order to treat asthma in a personalized or stratified manner [11].
\nThe heritable nature of asthma has been demonstrated through various types of studies over the past decades. Family and twin studies indicate that 60–70% of asthma cases are due to genetic factors. Moreover, it has been proven that the concordance of asthma is greater among monozygotic twins rather than among dizygotic ones. Adoption studies have shown greater disease prevalence within biological relatives of the affected people compared to the adopted family [12].
\nHigher prevalence of allergic disease phenotypes is observed among relatives of atopic individuals compared to nonatopic individuals. Overall, the heritability estimates remain in between the range of 30–66% for airway hyperresponsiveness, 35–95% for asthma, and 35–84% for total serum IgE levels [13]. It is clear that both the inter-genetic individual differences and the degree of allergen exposure contribute to these variations in heritability. Heritability of asthma is linked to both disease susceptibility and severity. While the main concern of asthma genetic studies has been on disease susceptibility, increasing evidence shows that many genetic variants are important in asthma progression and severity as well [14]. Lung function tests in asthma showed that genes in the T-helper lymphocyte 1 (Th1) pathway affect asthma severity; meanwhile, T-helper lymphocyte 2 (Th2) pathway genes relate to susceptibility [14]. Based on these hypotheses, genes associated with asthma susceptibility differ from those related to asthma severity; hence, it is important to define both groups distinctly.
\nBy knowing the genetic signature associated with allergic asthma, geneticists can help to better understand the molecular mechanism of this disease, and the shared and distinct pathways among other allergic diseases. Moreover, the genetic signature of asthma-associated genes with altered expression during the peak of asthmatic episodes may help predict the severity and response to therapy. Unfavorable response might be identified and, consequently, more targeted and personalized treatments can be considered for this complex trait. The human genome project and the ongoing advancements in sequencing technologies, both, resulted in more successful gene discovery over the last years, even in diseases as complexed as asthma. Since then, dozens of susceptibility genes were identified through a large variety of methods and rationales.
Genome-wide association studies (GWASs) extensively investigate the unknown genetic bases of many intricate disorders including asthma [19,20]. In the first reported GWAS study for asthma susceptibility, Moffatt et al. [21] identified the 17q21 locus, containing several genes, for example,
To increase the power of detection of modest alleles due to the large sample size, the results of individual GWAS need to be gathered into a meta-analysis. The scientific literature recognizes two meta-analyses of asthma GWAS. One was done by the GABRIEL Consortium [27] of the European investigators, and the other was conducted by the EVE Consortium of the US investigators [22]. While the EVE meta-analysis included diverse subjects from different ethnic background, US and Mexico population backgrounds, the GABRIEL meta-analysis included only European subjects. Overall, these two thorough meta-analyses present a comprehensive overview of the genetic associations for asthma. Some associations are shared among different populations; by contrast, others are specific to one race. Grouping GWAS in this way increases the power of genetic detection, contrasts different ethnic groups’ genotypes, and highlights the worldwide populations’ genetic patterns. Overall independent GWASs have identified large number of candidate loci that deserve further testing. Replication studies help to prioritize which genes deserve further study, based on their identification in multiple populations.
\nAdditionally, more loci were identified to be associated with asthma; these include interleukin (IL)-33 (on 9p24),
Parallel to genetic factors, environmental factors are also involved in the development and progression of asthma (Figure 1). The exposure to some environmental factors was shown to contribute not only to asthma but also to other related respiratory disorders, for example, emphysema development. By contrast, there are also some other environmental factors that seem to be solely linked to the development of asthma but not to other inflammatory or/and respiratory disorders [30]. Various studies assessed the risk factors of asthma and found evidence that allergen exposure, respiratory tract infections, gastroesophageal reflux disease (GERD), and physical and psychosocial stress might represent individual risk factors. It is important to keep in mind that some other environmental factors are protective, such as maternal diet, breastfeeding, and farming conditions [31].
\nAllergen exposure is the major factor impacting sensitization and constitutes the most common cause of asthmatic exacerbations in adults and children. A wide variety of inhaled allergens may trigger asthma symptoms, for example, house dust mite [32], pollens [33], cockroaches [34], and animal fur [35]. Respiratory tract infections have been implicated in asthma occurrence and exacerbation as well. Examples include infection with viruses [36,37],
Environmental stress, in conjunction with genetic factors, both contribute to the development of asthma exacerbations.
Additionally, a correlation has been observed between the presence of asthma and gastroesophageal reflux-induced disease, with reports showing one-third of asthmatic patients also diagnosed with GERD [43,44]. Although the coexistence of GERD in asthmatic patients did not affect asthma severity, the airway resistance was significantly higher in asthmatic patients with GERD [45]. Some other psychosocial factors such as parental stress during childhood [46] and the socioeconomic status [47] are reported to influence allergic inflammation severity. It is estimated that psychopathology is six times more common among asthmatics, and accordingly it correlates more closely with the asthmatic quality of life, rather than with lung physiological functions [48,49]. In both directions, psychopathology is supposed to precipitate asthma or vice versa; psychopathology may develop as a consequence of asthma [50].
\nScientists tried to uncover alterations related to asthma since a long time ago. One of the oldest publications that discussed asthma pathophysiology was in 1873 [51]. Later on, in 1886, F.H. Bosworth concluded a possible relation between asthma and hay fever [52]. Clearly, it is well known that asthmatic patients suffer from reversible airway obstruction resulting from an allergen exposure, consequently releasing multiple broncoconstricting mediators that stimulate airway muscles to contract. Furthermore, airways narrow results from past and current mucus and edema occlusion [53]. The chronic inflammation and associated repair of lung airways leads to structural changes, referred to as “
Schematic representation of the major events underlying asthma pathophysiology.
Asthma and COPD (chronic obstructive pulmonary disease) are now considered to be discrete respiratory disorders. Although both share several similar underlying mechanisms, driving airway obstruction in COPD, and hyperresponsiveness in asthma, core molecular pathology remains to be mostly different for both [54]. Pauwels et al. [55] defined COPD as “a disease state characterized by airflow limitation that is not fully reversible. The airflow limitation is usually progressive and associated with an abnormal inflammatory response of lungs to noxious particles and gases.” One important reason of asthma and COPD overlap is the effect of aging. Asthma-COPD overlap syndrome (ACOS) is a medically recognized coexisting syndrome of both asthma and COPD [56]. Some other health conditions may occur more frequently in asthmatic patients. Rhinosinusitis [57], obstructive sleep apnea [58], or GERD [59] are the most common documented comorbidities. Substantially, they can contribute to the same pathophysiological process, which is already triggered by allergic response or alter asthma phenotype detrimentally. The impact of these diseases on asthma is variable and still not fully clear [60].
\nEpithelial changes are not unique to asthma, they are also observed, in more or less of similar manner, in lungs of smokers and cancer patients [61]. Epithelial layer damage in asthma includes loss of ciliated cell layer, shedding of the epithelium, goblet cell hyperplasia and growth factors, cytokine and chemokine upregulation [62].
\nOne important feature of asthma, which has been routinely used as an asthma severity index, is the thickening of the subepithelial airways layer. The epithelial and subepithelial layer thickening is caused by the overdeposition of extracellular matrix (ECM) proteins [63]. Roche et al. observed that intensive layers of collagen sedimentation contribute to the thickened subepithelial basement membrane. Through immunohistochemistry, they have shown that the commonly involved collagen types are collagen I, III and V, and fibronectin [64]. Additionally, the cells that are responsible for ECM protein production are myofibroblasts and fibroblasts, as both are embedded in the sophisticated ECM which they secrete [65]. Meanwhile, some inflammatory cells, for example, T cells, mast cells, and eosinophils also accumulate in the submucosal layer [66]. Moreover, transforming growth factor-β (TGF-β), and some similar growth factors, is usually secreted by the lung epithelial cells echoing any ongoing lung injury, and consequently directly impress the matrix proteins’ production by fibroblasts/myofibroblasts. By increasing the airway rigidity, however, Holgate et al. suggested that the airway thickening due to the ECM proteins precipitation may in fact have a remodeling protective effect via postponing long-term bronchoconstriction events [62]. Collectively, the ECM proteins, the lung structural cells (i.e., epithelial cells and fibroblasts), and the immune system inflammatory cells, all interact together and control the overall airway remodeling and fibrosis [67].
\nHyperproliferation of airway smooth muscle mass is a common event in asthma and has been suggested to be implicated in its pathophysiology. Hyperplasia and hypertrophy of the ASM in the bronchial airways of asthmatics can be observed by three-dimensional (3D) morphometric studies [68]. Airways smooth muscle layer is estimated to be increased by 25–55% in nonfatal asthma and up to 50–200% in fatal asthma [69]. Meanwhile, in response to some growth factors like TGF-β, vascular endothelial growth factor (VEGF), and connective tissue growth factor (CTGF), ASM cells actively participate in the remodeling process through the process of ECM synthesis [70]. ASM cells also express cellular adhesion molecules (CAMs), receptors for cytokines (e.g., tumor necrosis factor-α), Toll-like receptors, and chemokines (eotaxin, macrophage inflammatory protein 1α, and interleukin 8) presenting multiple mechanisms for the inflammatory and remodeling process [71]. Additionally, one characteristic event of the airway remodeling is the ASM cells migration toward the epithelium [72]. Since ASM cells are crucial in asthma, Zuyderduyn et al. suggested that these cells should be targeted, rather than targeting inflammation or dealing with the symptoms [73].
\nAccumulating evidences indicate that there is an abnormal elevation in the size and number of blood vessels, as well as microvessels vascular leakage within the bronchial tissue in remodeled airways [74]. It is assumed that VEGF strongly affects airways remodeling via its angiogenic effects, but the exact molecular mechanism linking the increase in the VEGF expression to remodeling of the airways has not been fully understood [75].
\nCorrelation between angiogenesis and asthma severity has also been documented. Dense vascularity occurs in severe asthmatics, followed by moderate, and then finally mild asthmatics, who experience less angiogenesis events [76]. This pattern was also observed in fatal asthmatics compared with nonfatal asthmatics [77]. While current asthma therapeutics is not directly targeting vascular remodeling, recent trials investigate some anti-angiogenic therapies as a new approach for asthma. Yuksel et al. showed that Bevucizamab, which significantly neutralizes VEGF, results in a reduced thickening of lung epithelium, a reduced ASM, and a reduced basement membrane thickness compared with untreated ovalbumin (OVA)-challenged mice [78].
\nModern treatments for asthma have been tested and used since the early twentieth century [79]. However, the oldest documented drug for asthma dates back to ancient Egypt. Kyphi, an incense mixture drink, was used inside the temples by the priests as a multipurpose lung medicament. There was more than one recipe for Kyphi; each may include as many as 10 herbs [80]. Following this, about 4000 years ago, Atropa Belladonna alkaloids, also called “deadly nightshade” because of their poisonous properties (“Natural Medicinal Herbs”), were derived from the leaves of thorn-apple plant and smoked by the Indians as cough suppressant [82]. Till today, natural and synthesized entities related to the tropane alkaloids class are still widely used. This includes anticholinergics (e.g., natural atropine, hyoscyamine (the levo-isomer of atropine), acopolamine, and the synthetic Ipratropium Bromide and stimulants (e.g., cocaine and hydroxytropacocaine) [83]. In 1872, one of the first papers published on asthma states that rubbing the chest of asthmatics with chloroform liniment can resolve airway constriction [84]. Adrenergic stimulants were in use for asthma over 100 years ago. In 1901, the adrenaline isolated from sheep and oxen adrenal glands was used to treat asthma [85]. The first documented publication of adrenaline as a bronchodilator therapy for asthma was written in 1903 by James Burnett, a physician in Edinburgh [86]. One year later in 1904, adrenaline was synthesized in the laboratories of Friedrich Stolz and Henry Drysdale Dakin, independently [87].
\nAs suggested by the Global Initiative for Asthma (GINA) [88], a five-level step-down approach is widely recognized among the medical practitioners (Figure 3). The GINA approach assigns two types of drug classes for managing asthma:\n
Stepwise approach for controlling asthma symptoms and minimizing future morbidity.
β2-agonists and anticholinergics are considered to be bronchodilator relievers. Asthma controllers include corticosteroids, anti-leukotrienes, and anti-IgE. Theophylline is casually classified as both a bronchodilator and a reliever. The following book section will briefly discuss each therapeutic class.
\nNowadays, most popular protocols for managing asthma involve the use of corticosteroids and β-agonists [1]. Anti-inflammatory corticosteroids, which are one of most trusted treatments for asthma, were introduced in mid-twentieth century [79]. The principle mode of action of corticosteroids in asthma is through their direct anti-inflammatory effect in different white blood cells including T cells, mast cells, and eosinophils. Among leukocytes, corticosteroids suppress chemotaxis and adhesion, and prevent inflammatory cytokines recruitment [89].
Various studies describe contradicting effects of corticosteroids on the lung epithelial abnormalities in asthmatics. Dorscheid et al. [94] reported that Dexamethasone treatment resulted in increased epithelial apoptosis and shedding. Similar results were obtained when treating guinea pigs with Budesonide, which did not improve the tracheal epithelium [95]. By contrast, some
ICS has been used around for the past couple of decades. Its idea dates back to the nineteenth century when the hand-held glass bulb nebulizer was used; however, pressurized metered-dose inhaler (pMDI) came to the clinic in 1956. After seeing his daughter’s suffering while using the hand-held nebulizer, George Maison, a medical consultant at 3M Pharmaceuticals, had advocated the use of pMDI. In 1959, George Maison and Irvine Porush were awarded a patent on the first pMDI [98].
\nLong-acting β-agonists (LABAs), for example, Formoterol [99] and Salmeterol [100], offer a longer period of bronchodilation compared to the short-acting beta agonists (SABAs), for example, Salbutamol [101] and Terbutaline [102]. LABAs persist in the airway tissues for long periods due to their lipophilic nature and they provide a good umbrella of asthma bronchodilation and control, particularly at night [99,100]. However, until recently, the medical literature lacked supporting studies reporting the positive effect of β2 agonists on the chronic airway remodeling [103]. Addition of a β-agonist to the corticosteroid therapy allows a “steroid-sparing” effect, that is, maintains asthma control using lower doses of corticosteroids [104]. LABAs are not used as monotherapies anymore and they must be used in combination with ICS [105], because there have been cases of severe exacerbations and death when LABAs are administrated solely.
\nInhaled antimuscarinic agents, also known as inhaled anticholinergics, are considered another alternative bronchodilator group to β-agonists. The bronchodilation effect is functionally mediated via muscarinic receptor subtypes M1, M2, and M3, although five muscarinic receptors have been revealed in the lungs M1, M2, M3, M4, and M5 [106]. It is widely known that parasympathetic stimulation via the vagus nerve leads to immediate smooth muscle contraction and mucus secretion in the airways [107]. It is also suggested that M receptors interact with β2-adrenergic receptors (ADRB2) on the airways smooth muscle, leading to a reduced bronchodilator response of the β-agonists [108]. For years, in both adults and children, short-acting antimuscarinic agents use, for example, Ipratropium [109], has been limited to acute asthma management, in addition to inhaled SABA [110, 111]. Long-acting antimuscarinic agents, for example, Tiotropium [112], appear to have more benefits in difficult-to-control asthma. Adding Tiotropium to the standard asthma therapy significantly reduces asthma symptoms and highly increases the clinical outcomes [113, 114].
\nOver the last 40 years, there has been a marked increase in the development of targeted treatments for asthma—anti-leukotrienes, anti-IgE, anti-interleukins, and anti-TNF-α [115]. Obviously, as more of the biological basis of asthma is uncovered, more effective targeted asthma treatments might be developed. The list of most recently published clinical trials covering the period from 1 January 2013 to 1 January 2016, as well as the list of currently ongoing registered clinical trials that has started since 2013 for the new asthma medications are summarized in Tables 1 and 2, respectively.
\nNCT01147744 | \nEfficacy, safety, and tolerability of GSK2190915, a 5-lipoxygenase-activating protein inhibitor, in adults and adolescents with persistent asthma: a randomized dose-ranging study. | \nPhase 2 | \nGSK2190915 (5-lipoxygenase-activating protein inhibitor) | \nGSK2190915 30-mg efficacy was demonstrated in day-time symptom scores and day-time SABA use, compared with placebo. No additional improvement on efficacy was gained by administration of greater doses than 30 mg. GSK2190915 was well tolerated. | \nGlaxoSmithKline | \n[1] | \n
NCT00411814 | \nA phase 1, randomized, placebo- controlled, dose-escalation study of an anti-IL-13 monoclonal antibody in healthy subjects and mild asthmatics. | \nPhase 1 | \nGSK679586 (anti-IL-13) | \nGSK679586 showed dose-dependent pharmacological activity in the lungs of mild intermittent asthmatic patients. GSK679586 could be a potential therapeutic candidate for treatment of asthma. | \nGlaxoSmithKline | \n[2] | \n
NCT00659659) | \nEffects of benralizumab on airway eosinophils in asthmatic patients with sputum eosinophilia. | \nPhase 1 | \nBenralizumab (Anti-IL-5) | \nSingle-dose I.V. and multiple-dose S.C. of benralizumab reduced eosinophil counts in airway mucosa/submucosa and sputum and decreases eosinophil counts in bone marrow and peripheral blood in asthmatic patients. | \nMedImmune LLC | \n[3] | \n
NCT01007149 | \nA proof-of-concept, randomized, controlled trial of omalizumab in patients with severe, difficult-to-control, nonatopic asthma. | \nPhase 3 | \nOmalizumab (anti-IgE) | \nOmalizumab may have a therapeutic potential for treatment of severe nonatopic asthma. | \nNovartis Pharmaceuticals | \n[4] | \n
NCT00971035 | \nDose-ranging study of lebrikizumab in asthmatic patients not receiving inhaled steroids. | \nPhase 2 | \nLebrikizumab (anti-IL-13) | \nBlocking IL-13 alone was insufficient to improve lung function in asthmatic patients. | \nGenentech, Inc. | \n[5] | \n
NCT00873860 | \nA phase II placebo-controlled study of tralokinumab in moderate-to-severe asthma. | \nPhase 2 | \nTralokinumab (anti-IL-13) | \nSafety profile of tralokinumab was acceptable with no serious adverse effects. Although tralokinumab treatment was associated with improved lung function, no improvement in asthma control questionnaire score was observed. | \nMedImm une LLC | \n[6] | \n
NCT01018186 | \nSafety and tolerability of the novel inhaled corticosteroid fluticasone furoate in combination with the β2-agonist vilanterol administered once daily for 52 weeks in patients ≥12 years old with asthma: a randomized trial. | \nPhase 3 | \nFluticasone furoate (ICS) + Vilanterol (LABA) | \nFluticasone furoate/Vilanterol (100/25 μg or 200/25 μg) administered once daily over 52 weeks was well tolerated by asthmatic patients aged ≥12 years. The overall safety profile of Fluticasone furoate/Vilanterol did not reveal any serious adverse effects. | \nGlaxoSmithKline | \n[7] | \n
NCT00393952 | \nEfficacy and safety of fluticasone/ formoterol combination therapy in patients with moderate-to- severe asthma. | \nPhase 3 | \nFluticasone propionate (ICS) Formoterol fumarate (LABA) | \nFluticasone/formoterol combination therapy was an efficient alternative treatment option for moderate-to-severe asthmatic patients. | \nSkyePharma AG | \n[8] | \n
NCT01691521 | \nMepolizumab treatment in patients with severe eosinophilic asthma. | \nPhase 3 | \nMepolizumab (anti-IL-5) | \nAdministration of mepolizumab (I.V. or S.C.) significantly reduced asthma exacerbations and is associated with improvements in markers of asthma control. | \nGlaxoSmithKline | \n[9] | \n
NCT00500539 | \nImmunogenicity and safety of omalizumab in pre-filled syringes in patients with allergic (IgE-mediated) asthma. | \nPhase 3 | \nOmalizumab (anti-IgE) | \nPre-filled syringe of omalizumab was not associated with immunogenicity. | \nNovartis Pharmaceuticals | \n[10] | \n
NCT00781443 | \nThe effects of lebrikizumab in patients with mild asthma following whole lung allergen challenge. | \nPhase 2 | \nLebrikizumab (anti-IL-13) | \nLebrikizumab reduced the late asthmatic response in subjects with mild asthma. | \nGenentech, Inc. | \n[11] | \n
NCT01181895 | \nComparison of vilanterol, a novel long-acting beta-2 agonist, with placebo and a Salmeterol reference arm in asthma uncontrolled by inhaled corticosteroids. | \nPhase 3 | \nVilanterol (LABA) | \nThe study failed to show a therapeutic difference between vilanterol and placebo for the primary end point. The magnitude of placebo effect may be due to increased compliance with anti-inflammatory therapy regimen during the treatment period. | \nGlaxoSmithKline | \n[12] | \n
NCT01233284 | \nTiotropium Respimat® in asthma: a double-blind, randomized, dose-ranging study in adult patients with moderate asthma. | \nPhase 2 | \nTiotropium (LAMA) | \nAdministration of tiotropium Respimat® (Once-daily) add-on to medium-dose ICS improves lung function in symptomatic patients with moderate asthma, and the largest improvement was with a dose of 5 μg. | \nBoehringer Ingelheim | \n[13] | \n
NCT00983658 | \nOX40L blockade and allergen-induced airway responses in subjects with mild asthma. | \nPhase 2 | \nhuMAb OX40L (anti-OX40L) | \nAnti-OX40L MAb decreased serum total IgE and airway eosinophils at 16 weeks post dosing, but there was no effect on allergen-induced airway responses. This may be due to the treatment duration or dose of antibody was insufficient to have an effect on the airway responses. | \nGenentech, Inc. | \n[14] | \n
NCT00768079 | \nA randomized trial of benralizumab, an anti-interleukin 5 receptor α monoclonal antibody, after acute asthma. | \nPhase 2 | \nBenralizumab (Anti-IL-5) | \nA dose of benralizumab—when added to usual care—reduced the rate and severity of asthma exacerbations experienced over 12 weeks by subjects who presented to the emergency department with acute asthma. | \nMedImmune LLC | \n[15] | \n
NCT01369017 | \nIL-1 receptor antagonist reduces endotoxin-induced airway inflammation in healthy volunteers. | \nPhase 1 | \nAnakinra (Anti-IL-1) | \nAnakinra effectively reduced airway neutrophilic inflammation with no serious adverse reactions in a model of inhaled lipopolysaccharide challenge. Anakinra is a potential therapeutic candidate for treatment of asthma. | \nUniversity of North Carolina, Chapel Hill | \n[16] | \n
Summary of recent published clinical trials for new drugs used in the treatment of asthma (from 1 January 2013 to 1 January 2016).
Abbreviations:
NCT019 07763 | \nPhase III study to assess the efficacy and safety of SOTB07 in asthma patients | \nPhase 3 | \nPlacebo SOTB07 | \nJan 2013 | \nAssessment of the efficacy and safety of SOTB07 in asthma patients. | \nInterve ntional | \nRecr uiting | \nSK Chemicals Co.,Ltd. | \n
NCT023 88997 | \nTreatment with Omalizumab to improve the asthmatic response to an experimental infection with rhinovirus | \nPhase 2 | \nOmalizumab (anti-IgE) Rhinovirus (strain 16) | \nFeb 2013 | \nDetermination of whether anti-IgE therapy will lead to decline in inflammatory biomarkers prior to virus inoculation, and thus reduce the severity of clinical manifestations after an experimental human RV challenge. | \nInterve ntional | \nRecr uiting | \nUniversity of Virginia | \n
NCT019 02290 | \nStudy of efficacy and safety of Brodalumab compared with placebo in inadequately controlled asthma subjects with high bronchodilator reversibility | \nPhase 2 | \nPlacebo Brodalumab (Anti-IL-17) | \nMay 2013 | \nDetermination of the safety and efficacy of Brodalumab (AMG 827). | \nInterve ntional | \nRecr uiting | \nAmgen | \n
NCT018 36471 | \nA study to assess the effect of QAW039 in nonatopic asthmatic patients | \nPhase 2 | \nPlacebo QAW039 ICS | \nMay 2013 | \nAssessment of the clinical effect of QAW039 in nonatopic asthmatics taking low- dose ICS as background therapy. | \nInterve ntional | \nRecr uiting | \nNovartis Pharmaceuticals | \n
NCT019 55512 | \nEffect of Clopidogrel on allergen challenge in asthma | \nPhase 2 | \nPlacebo Clopidogrel (platelets P2Y12 receptor blocker) | \nMay 2013 | \nDetermination if the drug Clopidogrel reduces inflammation following breathing in house dust mite in people with mild asthma. | \nInterve ntional | \nRecr uiting | \nUniversity of Southampton | \n
NCT017 05964 | \nIntramuscular epinephrine as an adjunctive treatment for severe pediatric asthma exacerbation | \nPhase 4 | \nEpinephrine (IM) | \nJun 2013 | \nDetermination if IM epinephrine is an effective adjunct to inhaled β2-agonists for children with severe asthma exacerbation. | \nInterve ntional | \nRecr uiting | \nUniversity of Louisville | \n
NCT018 68061 | \nA study of Lebrikizumab in patients with uncontrolled asthma on inhaled corticosteroids and a second controller medication | \nPhase 3 | \nPlacebo Lebrikizumab (anti-IL-13) | \nJul 2013 | \nEvaluation of the efficacy and safety of Lebrikizumab in patients with uncontrolled asthma despite daily administration of ICS therapy and at least 1-s controller medication. | \nInterve ntional | \nRecr uiting | \nHoffmann-La Roche | \n
NCT018 67125 | \nA study of Lebrikizumab in patients with uncontrolled asthma who are on inhaled corticosteroids and a second controller medication | \nPhase 3 | \nPlacebo Lebrikizumab (anti-IL-13) | \nJul 2013 | \nEvaluation of the efficacy and safety of Lebriki zumab in patients with uncontrolled asthma despite daily treatment with ICS therapy and at least 1-s controller medication. | \nInterve ntional | \nRecr uiting | \nHoffmann- La Roche | \n
NCT018 41281 | \nL-arginine in severe asthma patients grouped by exhaled nitric oxide levels | \nPhase 2 | \nPlacebo L-Arginine (Nitric oxide precursor) | \nAug 2013 | \nIdentifi cation of the benefit from supplemental L-arginine therapy in adult severe asthma cohort. | \nInterve ntional | \nRecr uiting | \nUniversity of California, Davis | \n
NCT019 12872 | \nStudy to assess the efficacy and safety of Omalizumab treatment on ICS reduction for severe IgE- mediated asthma (MEXIC) | \nPhase 4 | \nOmalizumab (anti-IgE) Budesonide Formoterol (LABA) | \nNov 2013 | \nAssessment of the efficacy and safety of Omalizumab treatment during 12 months to reduce the use of ICS in pediatric and adult patients with severe IgE-mediated asthma inadequately controlled with high doses of corticosteroids. | \nInterve ntional | \nRecr uiting | \nNovartis Pharmaceuticals | \n
NCT020 41221 | \nPharmacology study of Sun Pharma Advanced Research Company Limited’s S0597 | \nPhase 1 Phase 2 | \nPlacebo S0597 | \nJan 2014 | \nEvaluation of safety, tolerability, pharmacokinetics, and pharmacodynamics of S0597 by oral inhalation. | \nInterve ntional | \nNot yet recruiting | \nSun Pharma Advanced Research Company Limited | \n
NCT020 49294 | \nStudy of the prednisone- sparing effect of Xolair (Omalizumab) in patients with Prednisone- dependent asthma with eosinophilic bronchitis | \nPhase 2 Phase 3 | \nOmalizumab (anti-IgE) Placebo Normal Saline | \nMar 2014 | \nInvestigation whether addition of Omalizumab enables a reduction in the dose of prednisone in patients with asthma and eosinophilic bronchitis. | \nInterve ntional | \nRecr uiting | \nMcMaster University | \n
NCT019 87492 | \nA study of Lebrikizumab In patients with severe asthma who depend on oral corticosteroids | \nPhase 2 | \nPlacebo Lebrikizumab (anti-IL-13) | \nMar 2014 | \nEvaluation of the efficacy of Lebrikizumab compared with placebo as measured by the ability of patients to achieve lower daily doses of OCS in patients with severe corticosteroid- dependent asthma. | \nInterve ntional | \nRecr uiting | \nHoffmann- La Roche | \n
NCT020 75008 | \nLong-term safety study of QGE031 in patients with allergic asthma who completed study CQGE031 B2201 | \nPhase 2 | \nQGE031 | \nMar 2014 | \nAssessment of long-term safety of QGE031 during 12 months of treatment in asthma patients who completed study CQGE031B2201. | \nInterve ntional | \nRecr uiting | \nNovartis Pharmaceuticals | \n
NCT020 75255 | \nEfficacy and safety study of Benralizumab to reduce OCS use in patients with uncontrolled asthma on high-dose inhaled corticosteroid plus LABA and chronic OCS therapy | \nPhase 3 | \nPlacebo Benralizumab (anti-IL-5) | \nApr 2014 | \nThis trial is to confirm if Benralizumab can reduce OCS dependence (after dose optimization) in patients who are uncontrolled on high-dose ICS-LABA, and chronically dependent on OCS as part of their regular asthma controller regimen. | \nInterve ntional | \nRecr uiting | \nAstraZeneca | \n
NCT021 35692 | \nA Phase 3a, repeat dose, open-label, long-term safety study of Mepolizumab in asthmatic subjects | \nPhase 3 | \nMepolizumab (anti-IL-5) Standard of Care | \nMay 2014 | \nCollection of clinical data for long-term use and further assessment of efficacy in patients with loss of asthma control. | \nInterve ntional | \nRecr uiting | \nGlaxoSmithKline | \n
NCT021 26865 | \nMultiple rising oral doses of BI 1060469 in healthy subjects and mild asthma patients | \nPhase 1 | \nPlacebo BI 1060469 | \nMay 2014 | \nInvestigation of the safety and tolerability of repeated rising doses of BI 1060469 in healthy male and female subjects and in asthmatic male and female patients. | \nInterve ntional | \nRecr uiting | \nBoehringer Ingelheim | \n
NCT021 61757 | \nA Phase 3 study to evaluate the efficacy and safety of Tralokinumab in adults and adolescents with uncontrolled asthma (STRATOS1) | \nPhase 3 | \nPlacebo Tralokinumab (Anti-IL-13) | \nJun 2014 | \nEvaluation of the efficacy and safety of Tralokinumab in adults and adolescents with asthma inadequately controlled on ICS plus long-acting β2-agonist. | \nInterve ntional | \nRecr uiting | \nAstraZeneca | \n
NCT021 04674 | \nA study evaluating the efficacy and safety of Lebrikizumab in adult patients with mild to moderate asthma | \nPhase 3 | \nPlacebo Lebrikizumab (anti-IL-13) Montelukast | \nJun 2014 | \nAssessment of the efficacy and safety of Lebrikizumab in adult patients with mild to moderate asthma treated with SABA therapy alone. | \nInterve ntional | \nRecr uiting | \nHoffmann- La Roche | \n
NCT020 66298 | \nSteroids In eosinophil- negative asthma (SIENA) | \nPhase 3 | \nPlacebo Mometasone Tiotropium (LAMA) | \nJul 2014 | \nDetermination if patients who are persistently non- eosinophilic differ in their benefit from inhaled corticosteroid treatment compared to patients who are not persistently non- eosinophilic. | \nInterve ntional | \nRecr uiting | \nMilton S. Hershey Medical Center | \n
NCT020 99656 | \nA study evaluating the effects of Lebrikizumab on airway eosinophilic inflammation in patients with uncontrolled asthma | \nPhase 2 | \nPlacebo Lebrikizumab (anti-IL-13) | \nNov 2014 | \nEvaluation of the effects of Lebrikizumab on airway eosinophilic inflammation in patients with uncontrolled asthma on inhaled corticosteroids and a second controller medication. | \nInterve ntional | \nRecr uiting | \nHoffmann- La Roche | \n
NCT022 58542 | \nA safety extension study to evaluate the safety and tolerability of Benralizumab (MEDI-563) in asthmatic adults and adolescents on inhaled corticosteroid plus LABA (BORA) | \nPhase 3 | \nBenralizumab (anti-IL-5) | \nNov 2014 | \nCharacterization of safety profile of Benralizumab administration in asthma patients who have completed one of the three predecessor studies: D3250C00017, D3250C00018, or D3250C00020. | \nInterve ntional | \nRecr uiting | \nAstraZeneca | \n
NCT022 96411 | \nEfficacy of LAMA added to ICS in treatment of asthma (ELITRA) | \nPhase 2 | \nPlacebo CHF 5259 Glycopyrrolate bromide (LAMA) | \nNov 2014 | \nEvaluation of the safety and superiority of the glycopyrrolate bromide (CHF 5259 pMDI) versus placebo on top of QVAR® pMDI, in terms of lung functions parameters. | \nInterve ntional | \nRecr uiting | \nChiesi Farmaceutici S.p.A. | \n
NCT022 93265 | \nCross- sectional study for identification and description of severe asthma patients | \nPhase 3 | \nMepolizumab (anti-IL-5) Omalizumab (anti-IgE) Reslizumab (anti-IL-5) | \nDec 2014 | \nThe potential overlap of patients eligible for treatment with Mepolizumab , Omalizumab and/or Reslizumab will be estimated. | \nInterve ntional | \nRecr uiting | \nGlaxoSmithKline | \n
NCT022 81318 | \nEfficacy and safety study of Mepolizumab adjunctive therapy in participants with severe eosinophilic asthma on markers of asthma control | \nPhase 3 | \nPlacebo Mepolizumab (anti-IL-5) Standard of Care | \nDec 2014 | \nEvaluation of the efficacy and safety of Mepolizumab adjunctive therapy in participants with severe eosinophilic asthma on markers of asthma control. | \nInterve ntional | \nRecr uiting | \nGlaxoSmithKline | \n
NCT023 22775 | \nStudy to evaluate the efficacy and safety of Benralizumab in adult patients with mild to moderate persistent asthma | \nPhase 3 | \nPlacebo Benralizumab (anti-IL-5) | \nFeb 2015 | \nConfirmation of the safety and clinical benefit of Benralizumab administration in asthma patients with mild to moderate persistent asthma. | \nInterve ntional | \nRecr uiting | \nAstraZeneca | \n
NCT023 82510 | \nMultiple ascending dose study of TRN-157 in stable mild and moderate asthmatics | \nPhase 2 | \nPlacebo TRN-157 Tiotropium (LAMA) | \nFeb 2015 | \nDetermination of the safety and bronchodilator activity of TRN-157 in approximately 54 mild and moderate asthmatics. | \nInterve ntional | \nRecr uiting | \nTheron Pharmaceuticals, Inc. | \n
NCT023 15131 | \nStudy in healthy volunteers and COPD patients to evaluate the efficacy and safety of inhaled TV46017 | \nPhase 1 | \nPlacebo TV46017 | \nMar 2015 | \nAssessment of the safety profile and duration of bronchodilation of a single dose of inhaled TV46017. | \nInterve ntional | \nNot yet recruiting | \nTeva Branded Pharmaceutical Products , R&D Inc. | \n
NCT021 24226 | \nLow-dose Methotrexate for reduction GINA 5 medications in chronic severe asthma | \nPhase 3 | \nPlacebo Methotrexate | \nApr 2015 | \nInvestigation of the role of an add-on immunological modifier in patients with chronic severe asthma. | \nInterve ntional | \nNot yet recruiting | \nUniversita degli Studi di Catania | \n
NCT023 77427 | \nPharmaco kinetics and pharmaco dynamics of Mepolizumab administered subcutaneously in children | \nPhase 2 | \nMepolizumab (anti-IL-5) | \nApr 2015 | \nAssessment of the pharmacokinetics and pharmacodynamics of Mepolizumab in children aged 6–11 years with severe eosinophilic asthma. | \nInterve ntional | \nNot yet recruiting | \nGlaxoSmithKline | \n
NCT023 36425 | \nEfficacy and safety of QGE031 compared with placebo in patients aged 18–75 years with asthma | \nPhase 2 | \nPlacebo QGE031 | \nApr 2015 | \nThe study will assess the safety and efficacy of different dose levels of QGE031 in asthma patients. | \nInterve ntional | \nNot yet recruiting | \nNovartis Pharmaceuticals | \n
NCT024 27165 | \nComparison of RPL554 With placebo and Salbutamol in asthmatic patients | \nPhase 2 | \nPlacebo RPL554 (PDE-3/4 inhibitor) Salbutamol | \nApr 2015 | \nAssessment of the effects of RPL554 compared with Salbutamol and placebo in patients with chronic asthma. | \nInterve ntional | \nNot yet recruiting | \nVerona Pharma plc | \n
NCT024 22121 | \nEffect of RNS60 on the late-phase asthmatic response to allergen challenge | \nPhase 2 | \nPlacebo RNS60 Budesonide | \nMay 2015 | \nEvaluation of the effects of multiple doses of inhaled RNS60 and Budesonide on the late-phase asthmatic response to allergen challenge in patients with mild asthma. | \nInterve ntional | \nNot yet recruiting | \nRevalesio Corporation | \n
NCT025 71660 | \nEfficacy of vitamin D on the clinical management of pediatric patients with asthma | \nPhase 3 | \nVitamin D (Low- and high- supplemen tation doses) | \nOct 2015 | \nEvaluation of vitamin D supplemen tation on exacerbation and clinical control of asthma. | \nInterven tional | \nNot yet recruiting | \nHospital General Naval de Alta Especialidad - Escuela Medico Naval | \n
Summary of recent ongoing clinical trials for new drugs used in the treatment of asthma (started in the past 3 years).
Abbreviations denote:
Leukotrienes are lipid eicosanoids with a wide range of biological activities. They are derived from arachidonic acid through the enzymatic action of 5-lipooxygenase, and play a crucial role in asthma inflammatory pathogenesis, and in other allergic diseases such as allergic rhinitis, rhinosinusitis, atopic dermatitis, and urticaria [116]. Leukotrienes class includes three main types: cysteinyl leukotrienes (CysLTs), LTB4, and LTG4. LTG4 is the metabolite of LTE4 in which the cysteinyl moiety has been oxidized to an α-keto-acid [117]. Since, very little is known about the LTG4-putative leukotriene, most clinical research studies focus on CysLTs and LTB4. CysLTs are strong bronchoconstrictors that powerfully affect airway remodeling, whereas LTB4 is a strong chemoattractant for most leukocyte subsets [118]. Over the last 20 years, since leukotriene antagonists were introduced to the clinic for asthma management, Montelukast [119, 120] and Zafirlukast [121] are the most frequently used drugs in this class.
\nAt the moment, Omalizumab, which is the only approved targeted monoclonal antibody against IgE, is used to treat allergic asthma in clinical practice. It can significantly decrease serum IgE levels (up to 99%) within 2 h following subcutaneous administration, and diminish serum, sputum, and tissue eosinophilia [122]. Recently, Omalizumab has also been reported to have steroid-sparing effect, reducing the rate of asthma exacerbations up to 50%, and hence improving the quality of life [123]. However, nearly 45% of patients treated with Omalizumab had adverse reaction at the local injection site, which is considered the most commonly observed adverse event for Omalizumab. Some other minor upper respiratory tract infections and sinusitis have also been reported as well. Patients treated with Omalizumab display a very low (0.09%) frequency of anaphylaxis reaction. Importantly, there are no data reporting any correlation between cancer and Omalizumab treatment [124].
\nThree interleukin pathways are of physiological importance for asthma: IL-5, IL-9, and IL-4/IL-13 pathways. IL-5 is pivotal for both eosinophil differentiation and maturation in the bone marrow. Subsequently, it controls eosinophil mobilization, activation, and survival [125]. Hence, antagonizing IL-5 has been proposed to be beneficial for asthma therapy, particularly for predominantly eosinophilic asthma. A number of anti-IL-5 and anti-IL-5 receptor monoclonal antibodies are in the process of development for allergic diseases: Reslizumab [126], Mepolizumab [127], and Benralizumab [128]. IL-9 is one of the T-helper 2 (Th2) pro-inflammatory cytokines that promote mast cell proliferation and T-cell growth [129]. In mouse models, IL-9 causes several common features of chronic asthma: excessive mucus production, eosinophilic airway inflammation, smooth-muscle cell hyperplasia, and aryl hydrocarbon receptor (AHR) [130]. Currently, a phase IIb clinical trial evaluates the efficacy and safety of subcutaneous Medi-528, a humanized IgG1 anti-IL-9 mAb, in adults with uncontrolled asthma (NCT00968669). Activated mast cells, eosinophils, basophils, and dendritic cells secrete IL-4 and IL-13. IL-4 and IL-13 both play an important role in asthma mainly by enhancing IgE production. They also control mast cells’ growth and development, eosinophil recruitment, and AHR [131]. The first trial aimed at antagonizing the IL-4 used a soluble recombinant human IL-4 receptor antagonist (IL-4RA), altrakincept, which blocked the binding of IL-4 to its cellular receptors [132]. Several humanized IL-13-neutralizing antibodies have entered asthma phase I/II clinical trials—anrukinzumab [133], QAX576 [134], and CAT354 [135].
\nTNF-α, a cytokine produced by Th1 cells and macrophages, has diverse biological functions. TNF-α shows crucial, and previously extensively documented, role in Crohn’s disease, rheumatoid arthritis, and psoriasis pathogenesis. The association between TNF-α increase and these disease progressions had inspired studies aiming to extend anti-TNF-α therapies also for the treatment of severe asthma and COPD [136]. Infliximab and Golimumab, two anti-TNF-α mAbs, and Etanercept, a decoy soluble TNF-α receptor, are both able to biologically neutralize TNF-α cytokine, and blunt the immune response, thereby abolishing TNF-α effects in asthma [137].
\nThe US Food and Drug Administration definition for pharmacogenomics is “the study of variations in DNA and RNA characteristics as related to drug response” [138]. “
Because it is a complex trait, the drug response to asthma is diversely heterogeneous even among patients with apparently similar clinical profiles [7]. It is estimated that up to 50% difference in therapeutic response has been attributed to genetic variations between individuals [140]. Although several possible mechanisms have been postulated, genetic variants affect the pharmacogenetic response to drugs in two different ways:\n
Single nucleotide polymorphism, SNP, denoted by a reference sequence (rs) number, represents a class of polymorphism that is derived from a one-base point mutation in which a single nucleotide is substituted with another one. SNPs may be located in the gene regulatory or coding regions, and so it may affect the gene expression in more than one way; however, in majority of cases, most discovered SNPs do not change the gene function in a significant manner [141]. Consequently, it is essential to investigate whether the DNA sequence variances would actually cause significant functional impacts (i.e., resulting in an altered observed biology), or is a linkage disequilibrium marker of another DNA variant, which is the real cause of the response variability, or is generally nonsignificant. Because of its strong importance, since 15 years, catalogs of SNPs have started to outline the most common genetic polymorphisms among different population groups [141, 142], and this process has attracted more attention during the last couple of years [143].
\nPharmacogenetically significant genes with relevance to corticosteroids, β-adrenergic, and leukotriene biological pathways. Left side: Candidate gene approach studies, Right side: GWAS (Genome Wide association studies).
All genes contain huge number of SNPs and copy-number variations (CNVs). CNVs are another form of structural variations, which account for 13% of the human genome bulkiness, and manifest as kilo-to-mega bases of deletions or duplications [144]. Conjointly, it is challenging to outline which polymorphism is influencing the treatment response and which are not relevant. Two major approaches declaiming this challenge have been practiced so far: candidate gene approach and GWAS. As it combines transcriptomic, proteomic and metabolomic profiling traits, a third approach, the integrative system biology approach, had led to a more comprehensive pharmacogenetic view [3]. To differentiate, candidate gene approach is based on a prior evidence according to the knowledge of the drug pharmacodynamics or/and pharmacokinetics, by contrast, GWAS methodology identifies new associations with the null hypothesis being that no associations exist. GWAS picks the variations which are associated with observable phenotypes by scanning SNP markers that tag, via linkage disequilibrium, the complete human genome. GWAS and integrative system biology approaches are modern tools contributing to the recent advancements of genotyping and statistical technologies.
\nCurrent pharmacogenetic studies of the corticosteroids, β-adrenergic, and leukotriene pathways are mostly candidate gene studies, with some GWAS, however, altogether have identified several genetic loci in strong association with therapeutic responsiveness to asthma. Figure 4 summarizes the pharmacogenetically significant genes with relevance to the corticosteroids, β-adrenergic, and leukotriene biological pathways.
\nIn cytosol, the glucocorticoids bind to their corresponding glucocorticoid receptor, forming a hetero-complex that is activated by ligand binding, and translocate into the nucleus. In the nucleus, this complex binds to the glucocorticoid response elements in some target genes’ promoter region resulting in their expression regulation. The core role of glucocorticoids is mediated via activating the transcription of anti-inflammatory genes, and suppressing the transcription of pro-inflammatory genes [145, 146]. The glucocorticoid pharmacogenetic studies formerly focused on candidate gene approach. Those candidate genes covered functions related to the corticosteroid biosynthetic pathway, the hetero-complex receptor formation, and the related chaperone proteins.
\nCorticotrophin-releasing hormone
One significant aspect of pharmacogenomics is that it investigates the interactions with genes of other pathways.
In 2005, another example demonstrated the glucocorticoid pathway interactions with one other pathway.
Cytochromes P450s belong to a heme cofactor-containing superfamily of metabolizing enzyme proteins that potentially control the metabolism of drug (i.e., pharmacokinetics), and consequently treatment response in many diseases. For asthma,
Tantisira et al. [157] conducted the first pharmacogenetic GWAS for ICS treatment in asthma and identified an SNP (rs37972) in the promoter of the glucocorticoid-induced transcript-1 gene (
β2-adrenergic receptor gene remains to be the most studied pharmacogenetic loci among the beta-agonist pathways.
The BARGE (Beta-Agonist Response by Genotype) study [164], held by the National Heart, Lung and Blood Institute Asthma Clinical Network, was one of the first genotype “stratified” pharmacogenetic studies for asthma. In this study, only Gly16Arg homozygotes for ADRB2 were included (i.e., Arg/Arg and Gly/Gly). Participants were randomly receiving either intermittent or regular albuterol, and then crossed over to receive the alternative treatment dose. For statistical stratification, this study ensured that the Arg16 homozygotes, who are less frequent, were appropriately randomly distributed to both SABA intermittent and regular protocols. Compared to Gly16 homozygotes, the BARGE study showed that the Arg16 homozygotes were good responders only to acute intermittent SABAs rather than to long-term regular treatments, a finding that does not coincide with the current clinical asthma treatment guidelines [165] which recommend SABA as for on-demand intermittent usage. Since the 16th amino acid of ADRB2 controls regular response to albuterol, bronchodilator medications other than SABAs would be more appropriate for Arg/Arg asthmatics.
\nCollectively, the BARGE study [164], along with some other pharmacogenetic studies [163, 166–168] of Gly16Arg and SABAs’ exposure, provided insights for further studies [169–171] on LABAs. In contrast to SABAs, a large cohort [169] of 2250 asthmatics, randomly assigned to formoterol plus budesonide, demonstrated no pharmacogenetic action due to
Genetic variants’ occurrences among different ethnic groups are quantified by their percentage of allele frequencies. Usually, frequent and common variants have only little or modest impacts on disease susceptibility and, subsequently, therapeutic response. On the other hand, as the variant is characterized to be rare or more “private,” its effect size on disease progression and therapeutic response dramatically increases [172]. Early
In addition to ADRB2 Gly16Arg and Thr164Ile variants, the (-376 In-Del) polymorphism was extensively studied as another significant pharmacogenetic
Adenylyl cyclase type 9, encoded in humans by
Different variants of
Relative to the corticosteroid and β-adrenergic pathways, the cysteinyl leukotriene pathway pharmacogenetic studies are generally fewer and have smaller sample sizes. The oldest of these studies [185], held in 1999, had investigated the tandem repeat polymorphism in
Arg312Gln, rs12422149, which is a coding variant in
As demonstrated above, there has been fundamental progress in the field of asthma pharmacogenetics; however, these efforts have not yet been introduced into clinical practice to guide physician. There are several reasons that account for this gap. Most important is the limited number of asthma pharmacogenetics-focused GWAS, which would compare common candidate gene methodology that would allow combining all patients from small cohorts studied. Small sample sizes prevent any expansion of the pharmacogenetic research of asthma, which needs a large number of subjects for statistical significance. Along with limited cohort size, study defects due to poor ancestry structuring and stratification substantially result in replication inconsistencies. Furthermore, genes interact together in networks; therefore, simply attributing phenotypic variation to individual genes is not appropriate. Epigenetics studies investigate the changes in gene activities, which are heritable to the subsequent generations, but are independent of any DNA sequence alterations [194, 195]. Epigenetic tuning of the genes associated with asthma has a significant impact on determining the drug response. Several mechanisms, related to epigenetics, are currently being investigated for both biomarker tagging and therapeutic innovation intervention [196]. Moreover, epigenetic changes have the ability to override the genetic effects of time, environment, tissue specificity, and other conditions such as age and gender of a patient, nutrition and hygiene, and intestinal microflora, which all highly influence the drug response in addition to the genetic factors. The collective impact of all combination of these factors requires the application of complicated algorithm that could take into consideration each of these factors and their interplay. The prospective genetic profile of an asthmatic should compromise a set of common and rare variants, on ancestral basis, which will be predictive of the pattern of his/her therapeutic responsiveness to different treatment options. The current human variant catalog continues to grow in an exponential manner because of the lower costs associated with whole genomic sequencing. Despite the steep decline in sequencing costs, the technology of sequencing, in terms of speed and quality, enormously increases. The future pharmacogenetic profile would also predict any possible adverse response associated with the chosen line of treatment. Genetic biomarkers are needed to warn the physician about any potential adverse side effects which can be life threatening. It is very important for typical genetic profiling to also consider gene-gene and gene-environment interactions. Gene-gene interactions are predominately crucial in the framework of combination therapies, for example, ICS and β-adrenergic agonists. Interactions between the surrounding environment and the patients’ genes are assumed to be an additional element, because environmental stress, apart from the genetic makeup, contributes to the development of asthma exacerbations. Future pharmacogenetic directions need to cover also the pharmacokinetic side of the patient profile. Altered drug absorption, metabolism, distribution, or excretion extensively influence drug dosing and even drug selection. All in all, the complete asthma pharmacogenetic catalog has many aspects to cover, before being introduced into the clinical practice.
\nAsthma is a complex respiratory and immune disease. Inadequate (or exaggerated) ability of genetically predisposed individuals to control inflammation, induced by innate and environmental factors, results in asthma. Further, studies using allergic asthma and atopy models enable to better understand several interacting gene products and variable responsiveness of asthmatic subjects to current therapies. Eventually, thorough investigation of the complexity of asthma might lead to successful designing of personalized therapies for patients suffering from allergic asthma.
\nPolysaccharide-based chiral stationary phases (CSPs) have been reported in the literature for nearly 50 years as of the writing of this chapter. Hesse and Hagel made the first practical reports in 1973 using microcrystalline triacetylcellulose (MCTA) as a chiral separation medium, with a simple chiral model [1]. From this initial report, the applications have grown thanks to the advancements made by Prof. Yoshio Okamoto and many others, to include applications in the production of commercialized pharmaceuticals, polypeptides and biologics, natural products, and more recently, cannabis.
As a natural product, cannabis contains a wide range of compounds including, but not limited to, cannabinoids, terpenes, and other plant-based compounds [2]. These compounds typically exist as a single isomer as a requirement for further downstream processes. That is, many biological processes are enzymatically controlled, and require specific molecule confirmation for proper interaction and recognition. Therefore, biological systems have evolved to produce said single isomer that matches this confirmation. Common achiral phases like octadecylsilyl (ODS or C18) and other non-polar analogs have therefore been successfully used for the separation and analysis of cannabis and cannabis-related products, as they are capable of separating achiral mixtures exclusively ([3, 4, 5, 6, 7] as examples). CSPs have been underutilized as a solution for the separation of such compounds and mixtures, as their cost and specialization have been seen as prohibitive or unnecessary. However, it is well established that polysaccharide CSPs are capable of performing both chiral and achiral separations, so they represent a unique opportunity for investigators to perform two types of separations at the same time. The nature of polysaccharide CSPs is unlike that of typical achiral phases. The polymeric structure of the CSPs, either cellulose or amylose-based, along with their functionalization with small molecule chiral selectors, creates an environment that can recognize the subtle structural differences that exist between enantiomers.
What exactly are enantiomers? The most effective way to envision this is to hold up one’s left and right hand – the hands are mirror images of each other (excluding the minor differences in jewelry, fingernail length, cuts/bruises, etc.), but are not superimposable. When you try to overlap them, there is clearly a difference in the structure, i.e. the geometry, of the hands. Compounds that are enantiomers are the same – they have the same combination of atoms or chemical groups connected (bonded) to a single atomic center (also referred to as a stereogenic center or chiral center – usually it is carbon, but can also be nitrogen, phosphorus, or sulfur). Enantiomers differ from each other in the configuration of said atoms or chemical groups around the chiral center. They can also arise from other elements of symmetry like a plane and/or axis where two distinct confirmations can exist. An example of the latter would be atropisomers. Atropisomers contain a rotatable single bond, but because of steric hindrance (a blockage caused by large/bulky groups), are locked into two distinct confirmations. These geometric differences are not exploitable by achiral SPs, but they are by polysaccharide CSPs.
This chapter will begin with a discussion on the mechanism by which polysaccharide CSPs are capable of separating achiral and chiral analytes. This is important to understand why CSPs are so effective in their function, and why they play an important role moving forward in the separation and analysis of cannabis and cannabinoids. This will be followed by a brief sharing of established and practical examples of CSP applications in a range of mature fields (pharmaceutical and agricultural for example). The chapter will conclude with numerous examples in the literature for the separation of cannabinoids on polysaccharide-based CSPs, under various mobile phase modes including normal phase and reversed phase high performance liquid chromatography (HPLC) and supercritical fluid chromatography (SFC).
Traditional achiral separations on widely available phases like ODS or silica are governed primarily by polarity. That is, the difference in polarity between the analytes (compounds) and the polarity of the stationary phase (SP). With a simple enough model, one can easily predict elution order based simply on the chemical structure (or polarity) of the analyte and the polarity of the SP. As a simple example, for the separation of phenol and toluene on a C18 column with a mixture of acetronitrile/water, one would expect that phenol should elute first as it is more polar than toluene, which will be more strongly attracted/retained on the non-polar C18 SP. The same modeling cannot be performed for chiral separations however, as enantiomers are equal in their polarity. As described above in the Introduction, enantiomers differ only by the geometry in which their atoms or functional groups are arranged around the chiral center. This geometric difference can only be exploited by a medium that can create an environment that facilitates chiral recognition, which is why CSPs are a critical tool for enantiomeric separations. A well-established (yet highly unpredictable) series of intermolecular interactions helps CSPs to distinguish these subtle differences to elicit a chiral separation.
At the core of polysaccharide CSPs are three components: the silica gel support material, the polysaccharide backbone (either cellulose or amylose), and the chiral selector (see Figures 1 and 2 for examples). The support material does not have too much of a role to play in the separation of enantiomers, but is important to provide CSPs with a rigidity and robustness to be used under high-pressure applications. The chiral selector and polysaccharide backbone are responsible for creating an environment that is able to distinguish the two enantiomers via a series of well-documented intermolecular (between two molecules) interactions that arise from it (see Table 1). When contained within in an enclosed system like a packed, chromatographic column, the potential combination of interactions is capable of producing a separation of the enantiomers. The chiral selector is key to creating these interactions - hydrogen bonding, π-π stacking, dipole forces, inclusion, and repulsion can exploit the subtle differences between the enantiomer geometries [8].
Examples of structures of chiral selectors and names of coated polysaccharide-based CSPs.
Examples of structures of chiral selectors and names of immobilized polysaccharide-based CSPs.
Type of interaction | Strength | Direction | Working distance |
---|---|---|---|
Hydrogen bonding | Very strong | Attractive | Long range |
Steric hindrance | Weak to very strong | Repulsive | Short range |
π-π Interaction | Strong | Attractive | Medium range |
Dipole–dipole | Intermediate | Attractive | Short range |
Several intermolecular forces known to occur between analyte and polysaccharide CSPs. Adapted from ref. [8].
Polysaccharide CSPs are unique in their ability to combine all of the above-mentioned differentiating interactions (Table 1) into a macromolecule that is capable of interaction with the racemic (chiral) mixture. The type and frequency of these interactions is highly dependent on several factors: (1) the type of polysaccharide backbone (e.g., cellulose or amylose), (2) the functionalization of the chiral selectors (e.g., carbamates, benzoates and their respective substituents), and (3) the combined 3D-structure created by supporting on silica. Furthermore, the solvation, swelling, or shrinking of the derivatized polymer backbone in the presence of certain solvents or additives plays an important role. Because of these factors, the interactions that take place on polysaccharide CSPs are much more unpredictable and a systematic screening becomes an essential tool for their effective application.
After Hesse and Hagel published their first work using MCTA [1], the continued development of such phases lagged for more than a decade, because of structural and chromatographic inefficiencies. Professor Yoshio Okamoto in Japan made a breakthrough in 1984 by stabilizing the polysaccharide polymer (cellulose in that case), onto a solid silica gel support [9, 10, 11]. This allowed for HPLC or high pressure applications, and improved chromatographic efficiency. The first chiral selectors utilized were coated cellulose tribenzoate and coated cellulose triacetate, later commercialized by Daicel Corporation as CHIRALCEL OA and CHIRALCEL OB respectively [12, 13, 14].
In these early examples, simple models like
Further advancements in the production of the CSPs added robustness and increased solvent compatibility, via the incorporation of an immobilization step. This immobilization step both cross-links the polysaccharide backbone and bonds it to the silica gel surface, leading to the insolubilization of the polymer [23, 24, 25, 26, 27, 28, 29, 30, 31, 32]. This resulted in a new generation of immobilized CSPs, providing access to selectors that were previously not accessible and an expanded range of compatible solvents for expanded selectivity (see Figure 2 for full list of immobilized CSP selectors as of the time of this publication).
This diversification of selectors allowed for an expansion of selectivity that corresponded with a widening utilization in more application areas. β-blockers [33, 34, 35] and non-steroidal anti-inflammatory drugs (NSAIDs) [36, 37, 38] were two of the first classes of compounds to be screened for chiral recognition. Relevant examples included, but were not limited to, acebutolol and propranolol (β-blockers), ibuprofen and naproxen (NSAIDs). Other classes of compounds included proton-pump inhibitors like omeprazole [39, 40, 41], anti-histamines like cetirizine and meclizine [42, 43, 44], selective serotonin reuptake inhibitors (SSRIs) like sertraline and citalopram [45, 46, 47], and commercialized pharmaceuticals like Modafinil [48], Keppra [49], and Bicalutamide [50].
Agrochemicals have also become an important application area, as many pesticides, herbicides, and insecticides contain a chiral center. This application area historically received minimal attention, as there was no requirement to assess biological activity of these compounds, like there is/was for pharmaceuticals. However government regulations have changed over the last few decades, and polysaccharide CSPs have been critical for these analyses as well. There have been many papers published covering the separation of compounds like malathion, fipronil, metalaxyl, dichlorodiphenyltrichloroethane (DDT), bromuconazole, and etoxazole (as examples) [51, 52, 53]. The analysis of food has been an important application, as composition analysis is important for nutritional integrity and quality assurance. Many examples for the analysis and separation of flavanone, diketopiperizine, and naringenin-based compounds have been reported [54, 55, 56].
As mentioned in the introduction, CSPs have historically been overlooked for the analysis and separation of cannabinoids. This came primarily from the belief that cannabis did not contain any racemic pairs of compounds, or at least not any that were of particular interest. This has of course changed with the identification of cannabichromene (CBC) and cannabicyclol (CBL), as well as the rise of synthetic sources of cannabinoids, which have the potential to produce non-naturally occurring opposite enantiomers. This has also been affected by the understanding that polysaccharide CSPs are just as capable of separating achiral mixtures as they are chiral mixtures. CSPs were initially designed to exploit the subtle geometric differences that exist between enantiomers, but they are also capable of distinguishing between more pronounces achiral differences is structure.
One of the earliest reports for the use of polysaccharide-based CSP for the separation of cannabinoids came from Levin
In 1995, Levin
Jumping back briefly to 1994, Yan
Thakar
Tarbox
Umstead published a paper in 2021 for the separation of several cannabinoids, including cannabicyclol, cannabichromene, Δ6, and Δ10 THC enantiomers [65]. There were several columns used for this work, including CHIRALPAK IB N-3, CHIRALPAK IG-3 (see Figure 3), CHIRALPAK IA-3, and CHIRALPAK IC-3. Normal phase HPLC was used including hexane-ethanol and hexane-isopropanol mobile phases ranging from 90–10 (v/v) to 98–2 (v/v) (see ref. [65] for full method details).
Separation of cannabicyclol, Δ6, and Δ10 THC under normal phase conditions of hexane-ethanol = 95–5 (v/v) on CHIRALPAK IG-3 [
So far, only normal phase conditions have been reported, however aqueous mobile phases (containing water – also referred to as reversed-phase) have also been used for the separation of numerous cannabinoids. A particular advantage of using a reversed-phase (RP) mobile phase over normal phase is the MS compatibility, which assists in the analysis of complex cannabinoid mixtures. Onishi and Umstead published a paper in 2021 focused on the separation of a 10 cannabinoid mixture (which contained Tetrahydrocannabinolic Acid A (THCA-A), Cannabidiolic Acid (CBDA), delta-8 Tetrahydrocannabinol (Δ8-THC), Cannabidiol (CBD), (±)-Cannabichromene (CBC), Cannabinol (CBN), delta-9 Tetrahydrocannabinol (Δ9-THC), and Cannabigerol (CBG)) [66]. A particularly novel feature of this work was the use of ultra-high performance liquid chromatography (UHPLC) and Daicel Corporation’s sub-2 μm immobilized polysaccharide CSPs for the separation.
Figure 4 shows a comparison of Van Deemter plots for the performance of 5 μm, 3 μm, and sub-2 μm CHIRALPAK IA. A Van Deemter plot is a graphical representation of three competing terms that describe the chromatographic separation of an analyte by a chromatographic column. The A term (Eddy-diffusion), B term (diffusion coefficient), and C term (resistance to mass transfer) play different roles in the overall chromatographic separation efficiency. The A term is a constant, as it is assumes the pathway length through a packed particle is more or less the same (although the actual pathway is random). The B term is also more or less constant at functional chromatographic flow rates (although it sharply decreases at very low flow, significantly less than what you would use for a separation). The C term linearly increases from zero to infinity, with the slope being less shallow for smaller particles compared to larger particles (i.e. the plate height (H) decreases much less for small particles as flow rate increases). When combined, you see curves like in Figure 4.
Van Deemter plot for different particles sizes of CHIRALPAK IA immobilized CSP showing column efficiency related to linear velocity (flow rate) [adapted from ref.
The y-axis represents the theoretical plate height (H in μm), and the x-axis linear velocity (in mm/s). Intrinsically larger particle sizes like 5 and 3 μm (in green and red respectively) have a higher theoretical plate-height due to decreased packing efficiency when packing into a column i.e. the constant A term is larger for these particle sizes. However when the linear velocity is increased, they also lose efficiency more quickly than a smaller particle (due to the C term). For this reason, faster nominal flow rates can be achieved with the smaller particles, allowing for fast/ultra-fast separations with minimal loss of resolution, or the analysis of complex samples with higher resolution.
Circling back from the short tangent on chromatographic theory, Onishi and Umstead looked at both normal phase and reversed phase HPLC, and found a number of very efficient separations. For normal phase CHIRALPAK IB-U (Figure 5) and CHIRALPAK IH-U were found to be the best CSPs for the separation, which used n-hexane-isopropanol-ethanol-trifluoroacetic acid = 96-3-1-0.1 (v/v) as a mobile phase.
10 cannabinoid mixture separation under normal phase conditions with CHIRALPAK IB-U [adapted from ref.
For reversed phase, CHIRALPAK IG-U (Figure 6) and CHIRALPAK ID-U were found to be the best CSPs for the separation, which utilized water/acetonitrile/trifluoroacetic acid = 45-55-0.1 (v/v) or 55-45-0.1 (v/v) respectively.
10 cannabinoid mixture separation under reversed phase conditions with CHIRALPAK IG-U [adapted from ref.
De Luca
Reversed phase separation of CBDA, CBD, THC, CBC, and THCA with CHIRALPAK IC (in blue) and IF (in red). Adapted from ref. [
Umstead published a paper in 2022 covering the separation of CBD enantiomers under both reversed phase and normal phase HPLC [68]. For reversed phase, CHIRALPAK IA and CHIRALPAK IG were found to be the most effective CSPs for separation, using water-acetonitrile = 45–55 (v/v) or 30–70 (v/v) respectively. For normal phase HPLC, IA and IG were again found to be very effective CSPs, with the addition of CHIRALPAK ID and CHIRALPAK IE yielding good baseline resolutions as well. For the normal phase HPLC separation on IG (which used hexane-ethanol = 95–5 (v/v)), the separation was also performed on the sub-2 μm version, CHIRALPAK IG-U. This resulted in a sub-15 second separation (Figure 8). Similarly, the reversed phase HPLC separation on IG was repeated on IG-U, resulting in a sub-20 sec separation.
Separation of (+) and (−) CBD on CHIRALPAK IG-U with Hex-EtOH = 95–5 (v/v).
On a preparative scale, the separation of (+) and (−) Δ9 THC was patented by Gutman
The mechanism for chiral separation on polysaccharide CSPs is the same for SFC as it is for HPLC, i.e., a series of intermolecular interactions between chiral analyte and chiral selector. The main difference is the composition of the mobile phase. Rather than 100% organic solvent as is the case for HPLC, SFC uses super-critical carbon dioxide (CO2) as its primary mobile phase component. There are numerous advantages to using SFC, including the reduction of waste and associated disposal cost, overall lower viscosity mobile phases, which allows for faster flow rates i.e. faster analyses, and the ability to use methanol as a modifier, which cannot be done under normal phase HPLC (miscibility of methanol and hexane is very poor).
Toyo’oka and Kikura-Hanajiri published a paper in 2015 on the SFC separation of several synthetic cannabinoids [70]. While the work contained mostly achiral separations, there was also a reported separation of enantiomers of cis and trans cannabicyclohexanol (CCH) on coated amylose
Runco
Breitenbach
Denicola and Barendt presented a poster in 2018 that covered the analytical separation of a series of cannabinoid mixtures ranging from 9 to 16 cannabinoids, using CHIRALPAK IB N-5 and a methanol gradient from 11 to 14% [73]. Although some partial co-elution was observed, the use of peak deconvulsion software assisted in the baseline quantification of the more complex mixtures. The method was applied to a real hemp oil sample, demonstrating the effective quantification of THC to ensure compliance with the 2018 Farm Bill requirements of less than 3% THC in CBD containing products.
Later that year, Denicola and Barendt presented a second poster that focused on the preparative separation/removal of THC from the same hemp oil sample [74]. Using the method established in the previous poster, the authors showed the isolation of 1.2 kilograms of CBD/day was possible with this new method, which at the time, was about 1.5× more productive than the achiral C18 flash chromatography method that was being used.
Polysaccharide CSPs have a rich and storied history for the separation and analysis of chiral pharmaceuticals and agrochemicals, as well as important applications in the food and cosmetic industries. Although not traditionally used for achiral separations, their unique separations mechanism allows for the exploitation of small differences in energy and molecular geometry, meaning a broader range of applicability when compared to achiral SPs. As this awareness has grown, the applications in the field of cannabis separation and analysis have grown with it, particularly over the last decade. Their ability to separate diastereomers, structural isomers, and other positional isomers present in cannabis make them well suited for these applications.
As demonstrated in the chapter their ability to be used in a wide range of mobile phases makes them suitable for numerous applications, ranging from analytical and preparative scale, and with great flexibility in detection technique (mass-assisted or ultra-violet detection for instance). No doubt as the library of natural and synthetic cannabinoids continues to grow, the need for enantiomeric resolution will grow with it. As all application areas continue to expand, particularly for medicinal use, polysaccharide-based CSPs are and will be well suited to meet the needs for chiral purity testing.
The author declare no conflict of interest.
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Sleighter and Patrick G. Hatcher",authors:[{id:"22676",title:"Dr.",name:"Rachel L.",middleName:null,surname:"Sleighter",slug:"rachel-l.-sleighter",fullName:"Rachel L. Sleighter"},{id:"23168",title:"Dr.",name:"Patrick G.",middleName:null,surname:"Hatcher",slug:"patrick-g.-hatcher",fullName:"Patrick G. Hatcher"}]},{id:"60097",doi:"10.5772/intechopen.75381",title:"Robust Optimization: Concepts and Applications",slug:"robust-optimization-concepts-and-applications",totalDownloads:2562,totalCrossrefCites:23,totalDimensionsCites:31,abstract:"Robust optimization is an emerging area in research that allows addressing different optimization problems and specifically industrial optimization problems where there is a degree of uncertainty in some of the variables involved. There are several ways to apply robust optimization and the choice of form is typical of the problem that is being solved. In this paper, the basic concepts of robust optimization are developed, the different types of robustness are defined in detail, the main areas in which it has been applied are described and finally, the future lines of research that appear in this area are included.",book:{id:"6587",slug:"nature-inspired-methods-for-stochastic-robust-and-dynamic-optimization",title:"Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization",fullTitle:"Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization"},signatures:"José García and Alvaro Peña",authors:[{id:"227809",title:"Ph.D.",name:"Jose",middleName:null,surname:"Garcia",slug:"jose-garcia",fullName:"Jose Garcia"},{id:"240407",title:"Dr.",name:"Alvaro",middleName:null,surname:"Peña",slug:"alvaro-pena",fullName:"Alvaro Peña"}]}],mostDownloadedChaptersLast30Days:[{id:"59209",title:"Utilization of Response Surface Methodology in Optimization of Extraction of Plant Materials",slug:"utilization-of-response-surface-methodology-in-optimization-of-extraction-of-plant-materials",totalDownloads:5469,totalCrossrefCites:64,totalDimensionsCites:97,abstract:"Experimental design plays an important role in several areas of science and industry. Experimentation is an application of treatments applied to experimental units and is then part of a scientific method based on the measurement of one or more responses. It is necessary to observe the process and the operation of the system well. For this reason, in order to obtain a final result, an experimenter must plan and design experiments and analyzes the results. One of the most commonly used experimental designs for optimization is the response surface methodology (RSM). Because it allows evaluating the effects of multiple factors and their interactions on one or more response variables it is a useful method. In this section, recent studies have been compiled which aim to extraction of plant material in high yield and quality and determine optimum conditions for this extraction process.",book:{id:"5856",slug:"statistical-approaches-with-emphasis-on-design-of-experiments-applied-to-chemical-processes",title:"Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes",fullTitle:"Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes"},signatures:"Alev Yüksel Aydar",authors:[{id:"218870",title:"Dr.",name:"Alev Yüksel",middleName:null,surname:"Aydar",slug:"alev-yuksel-aydar",fullName:"Alev Yüksel Aydar"}]},{id:"74096",title:"Time Frequency Analysis of Wavelet and Fourier Transform",slug:"time-frequency-analysis-of-wavelet-and-fourier-transform",totalDownloads:1283,totalCrossrefCites:6,totalDimensionsCites:8,abstract:"Signal processing has long been dominated by the Fourier transform. However, there is an alternate transform that has gained popularity recently and that is the wavelet transform. The wavelet transform has a long history starting in 1910 when Alfred Haar created it as an alternative to the Fourier transform. In 1940 Norman Ricker created the first continuous wavelet and proposed the term wavelet. Work in the field has proceeded in fits and starts across many different disciplines, until the 1990’s when the discrete wavelet transform was developed by Ingrid Daubechies. While the Fourier transform creates a representation of the signal in the frequency domain, the wavelet transform creates a representation of the signal in both the time and frequency domain, thereby allowing efficient access of localized information about the signal.",book:{id:"10065",slug:"wavelet-theory",title:"Wavelet Theory",fullTitle:"Wavelet Theory"},signatures:"Karlton Wirsing",authors:[{id:"325178",title:"Dr.",name:"Karlton",middleName:null,surname:"Wirsing",slug:"karlton-wirsing",fullName:"Karlton Wirsing"}]},{id:"60864",title:"Statistical Methodology for Evaluating Business Cycles with the Conditions of Their Synchronization and Harmonization",slug:"statistical-methodology-for-evaluating-business-cycles-with-the-conditions-of-their-synchronization-",totalDownloads:1372,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"The importance of the topic of business cycle research and their interaction is due to the fact that the cyclical nature of development is a universal feature of the market economy (regardless of the level of development of the country’s economy and the principles of its organization). In all cases, cyclical ups and downs depend not only on internal system cyclical processes and their factors in countries but also on the consequences of intercountry interaction. The ability to measure and predict business cycles, taking into account their mutual influence, is a prerequisite for the development of an adequate business policy of countries and their associations.",book:{id:"6703",slug:"statistics-growing-data-sets-and-growing-demand-for-statistics",title:"Statistics",fullTitle:"Statistics - Growing Data Sets and Growing Demand for Statistics"},signatures:"Elena Zarova",authors:null},{id:"54366",title:"Solution of Differential Equations with Applications to Engineering Problems",slug:"solution-of-differential-equations-with-applications-to-engineering-problems",totalDownloads:6866,totalCrossrefCites:5,totalDimensionsCites:8,abstract:"Over the last hundred years, many techniques have been developed for the solution of ordinary differential equations and partial differential equations. While quite a major portion of the techniques is only useful for academic purposes, there are some which are important in the solution of real problems arising from science and engineering. In this chapter, only very limited techniques for solving ordinary differential and partial differential equations are discussed, as it is impossible to cover all the available techniques even in a book form. The readers are then suggested to pursue further studies on this issue if necessary. After that, the readers are introduced to two major numerical methods commonly used by the engineers for the solution of real engineering problems.",book:{id:"5513",slug:"dynamical-systems-analytical-and-computational-techniques",title:"Dynamical Systems",fullTitle:"Dynamical Systems - Analytical and Computational Techniques"},signatures:"Cheng Yung Ming",authors:[{id:"191017",title:"Dr.",name:"Cheng",middleName:null,surname:"Y.M.",slug:"cheng-y.m.",fullName:"Cheng Y.M."}]},{id:"56538",title:"Stochastic Resonance and Related Topics",slug:"stochastic-resonance-and-related-topics",totalDownloads:1718,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"The stochastic resonance (SR) is the phenomenon which can emerge in nonlinear dynamic systems. In general, it is related with a bistable nonlinear system of Duffing type under additive excitation combining deterministic periodic force and Gaussian white noise. It manifests as a stable quasiperiodic interwell hopping between both stable states with a small random perturbation. Classical definition and basic features of SR are regarded. The most important methods of investigation outlined are: analytical, semi-analytical, and numerical procedures of governing physical systems or relevant Fokker-Planck equation. Stochastic simulation is mentioned and experimental way of results verification is recommended. Some areas in Engineering Dynamics related with SR are presented together with a particular demonstration observed in the aeroelastic stability. Interaction of stationary and quasiperiodic parts of the response is discussed. Some nonconventional definitions are outlined concerning alternative operators and driving processes are highlighted. The chapter shows a large potential of specific basic, applied and industrial research in SR. This strategy enables to formulate new ideas for both development of nonconventional measures for vibration damping and employment of SR in branches, where it represents an operating mode of the system itself. Weaknesses and empty areas where the research effort of SR should be oriented are indicated.",book:{id:"6128",slug:"resonance",title:"Resonance",fullTitle:"Resonance"},signatures:"Jiří Náprstek and Cyril Fischer",authors:[{id:"207472",title:"Dr.",name:"Jiri",middleName:null,surname:"Naprstek",slug:"jiri-naprstek",fullName:"Jiri Naprstek"},{id:"213311",title:"Dr.",name:"Cyril",middleName:null,surname:"Fischer",slug:"cyril-fischer",fullName:"Cyril Fischer"}]}],onlineFirstChaptersFilter:{topicId:"15",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"83034",title:"Optimal N-of-1 Clinical Trials for Individualized Patient Care and Aggregated N-of-1 Designs",slug:"optimal-n-of-1-clinical-trials-for-individualized-patient-care-and-aggregated-n-of-1-designs",totalDownloads:2,totalDimensionsCites:0,doi:"10.5772/intechopen.106352",abstract:"Precision medicine typically refers to the use of genomic signatures of patients to assign more effective therapies to treat patients, or, for improved diagnosis of the early onset of a disease so that interventions can be delivered to prevent or delay the disease progression. Because the aim is to provide individualized patient treatment, such single-person trials are called N-of-1 trials. This chapter reviews fundamental ideas, models, and construction of optimal designs for N-of-1 trials, which are invariably constructed from crossover trials, where each patient receives a random sequence of trial treatments over time. We construct examples of universally optimal N-of-1 designs for comparing two treatments under various correlation structure assumptions and discuss how N-of-1 trials may be combined to form optimal aggregated N-of-1 trials for assessing average treatment effects for two or more treatments.",book:{id:"10678",title:"Biostatistics",coverURL:"https://cdn.intechopen.com/books/images_new/10678.jpg"},signatures:"Yin Li, Weng Kee Wong and Keumhee Chough Carriere"},{id:"83029",title:"Quasi Conformally Flat Quasi Einstein-Weyl Manifolds",slug:"quasi-conformally-flat-quasi-einstein-weyl-manifolds",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.105683",abstract:"The aim of this work is to study on quasi conformally flat quasi Einstein-Weyl manifolds. In this book chapter, firstly, an interesting relationship between complementary vector field and generator of the quasi Einstein-Weyl manifold is obtained and supported by an example. Then, it is investigated that quasi conformally flat quasi Einstein-Weyl manifolds are of quasi constant curvature, recurrent and semi-symmetric under which conditions after obtaining the expression of the curvature tensor of the quasi conformally flat quasi Einstein-Weyl manifold. Furthermore, some equivalences are obtained between to be of quasi constant curvature and to be semi-symmetric in quasi conformally flat quasi Einstein-Weyl manifolds.",book:{id:"11502",title:"Manifolds - Recent Developments and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11502.jpg"},signatures:"Fusun Nurcan"},{id:"82970",title:"Probability to be Involved in a Road Accident: Transport User Socioeconomic Approach",slug:"probability-to-be-involved-in-a-road-accident-transport-user-socioeconomic-approach",totalDownloads:5,totalDimensionsCites:0,doi:"10.5772/intechopen.106325",abstract:"Road education is one of the most relevant issues focused to reduce traffic accidents, so it is important to analyze the driver’s behavior on the roads. International research has found evidence for a relationship between socioeconomic characteristics and traffic accidents. In this sense, the chapter shows a methodology to estimate the probability to be involved in a road accident, considering the road education and the socioeconomic characteristics of the population of a specific region, taking the Santiago de Querétaro city (in México) as a study case. Through a logit model estimation and a survey applied to pedestrian, cyclist, motorcyclist, car driver, and freight driver allow us to determine which socioeconomic variables and road education are significant to determine the probability of being involved in a road accident.",book:{id:"12021",title:"Applied Probability Theory - New Perspectives, Recent Advances and Trends",coverURL:"https://cdn.intechopen.com/books/images_new/12021.jpg"},signatures:"Saúl Antonio, Obregón Biosca, José Luis Reyes Araiza and Miguel Angel Pérez Lara y Hernández"},{id:"82947",title:"Some Tauberian Theorems under Triple Statistically Nörlund-Cesáro Summability Method",slug:"some-tauberian-theorems-under-triple-statistically-n-rlund-ces-ro-summability-method",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.106141",abstract:"In this paper, we extend the notion presented by Braha (2020) in a higher dimension, we introduce the notion of Np,qn,m,gCn,m,g1,1,1-statistically convergence and show necessity and sufficiency conditions under which the existence of the limit st-limn,m,g→∞xn,m,g=L follows from that st-limn,m,g→∞Np,qn,m,gCn,m,g1,1,1=L. These conditions are one-sided or two-sided if xn,m,g is a sequence of real or complex numbers, respectively.",book:{id:"11503",title:"Functional Calculus - Recent Advances and Development",coverURL:"https://cdn.intechopen.com/books/images_new/11503.jpg"},signatures:"Carlos Granados"},{id:"82847",title:"A Chaos Auto-Associative Model with Chebyshev Activation Function",slug:"a-chaos-auto-associative-model-with-chebyshev-activation-function",totalDownloads:5,totalDimensionsCites:0,doi:"10.5772/intechopen.106147",abstract:"In this work, we shall put forward a novel chaos memory retrieval model with a Chebyshev-type activation function as an artificial chaos neuron. According to certain numerical analyses of the present association model with autocorrelation connection matrix between neurons, the dependence of memory retrieval properties on the initial Hamming distance between the input pattern and a target pattern to be retrieved among the embedded patterns will be presented to examine the retrieval abilities, i.e. the memory capacity of the associative memory.",book:{id:"12019",title:"Chaos Theory - Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/12019.jpg"},signatures:"Masahiro Nakagawa"},{id:"82826",title:"A Brief Look at the Calderón and Hilbert Operators",slug:"a-brief-look-at-the-calder-n-and-hilbert-operators",totalDownloads:2,totalDimensionsCites:0,doi:"10.5772/intechopen.106027",abstract:"The Calderón operator is the sum of the Hardy averaging operator and its adjoint, and plays an important role in the theory of real interpolation. On the other hand, the Hilbert operator arises from the continuous version of Hilbert’s inequality. Both operators appear in different contexts and have numerous applications within harmonic analysis. In this chapter we will briefly review the Calderón and Hilbert operators, showing some of the most relevant results within functional analysis and finally we will present recent results on these operators within Fourier analysis.",book:{id:"11503",title:"Functional Calculus - Recent Advances and Development",coverURL:"https://cdn.intechopen.com/books/images_new/11503.jpg"},signatures:"Guillermo J. Flores"}],onlineFirstChaptersTotal:42},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:108,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:141,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:124,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,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:22,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"August 2nd, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:33,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"14",title:"Cell and Molecular Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",isOpenForSubmission:!0,editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",slug:"rosa-maria-martinez-espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",biography:"Dr. Rosa María Martínez-Espinosa has been a Spanish Full Professor since 2020 (Biochemistry and Molecular Biology) and is currently Vice-President of International Relations and Cooperation development and leader of the research group 'Applied Biochemistry” (University of Alicante, Spain). Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. Dr. Beydemir is also Rector of Bilecik Şeyh Edebali University, Turkey.",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",slug:"deniz-ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",biography:"Dr. Deniz Ekinci obtained a BSc in Chemistry in 2004, MSc in Biochemistry in 2006, and PhD in Biochemistry in 2009 from Atatürk University, Turkey. He studied at Stetson University, USA, in 2007-2008 and at the Max Planck Institute of Molecular Cell Biology and Genetics, Germany, in 2009-2010. Dr. Ekinci currently works as a Full Professor of Biochemistry in the Faculty of Agriculture and is the Head of the Enzyme and Microbial Biotechnology Division, Ondokuz Mayıs University, Turkey. He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. Dr. Ekinci serves as the Editor in Chief of four international books and is involved in the Editorial Board of several international journals.",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null},{id:"17",title:"Metabolism",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",isOpenForSubmission:!0,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. 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Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. 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She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. 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Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. 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