Effect of filarial antigen treatment on glucose metabolism and insulin sensitivity in Type-2 diabetic mice models.
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"3686",leadTitle:null,fullTitle:"Motion Planning",title:"Motion Planning",subtitle:null,reviewType:"peer-reviewed",abstract:"In this book, new results or developments from different research backgrounds and application fields are put together to provide a wide and useful viewpoint on these headed research problems mentioned above, focused on the motion planning problem of mobile ro-bots. These results cover a large range of the problems that are frequently encountered in the motion planning of mobile robots both in theoretical methods and practical applications including obstacle avoidance methods, navigation and localization techniques, environmental modelling or map building methods, and vision signal processing etc. Different methods such as potential fields, reactive behaviours, neural-fuzzy based methods, motion control methods and so on are studied. Through this book and its references, the reader will definitely be able to get a thorough overview on the current research results for this specific topic in robotics. The book is intended for the readers who are interested and active in the field of robotics and especially for those who want to study and develop their own methods in motion/path planning or control for an intelligent robotic system.",isbn:null,printIsbn:"978-953-7619-01-5",pdfIsbn:"978-953-51-5733-5",doi:"10.5772/78",price:159,priceEur:175,priceUsd:205,slug:"motion_planning",numberOfPages:608,isOpenForSubmission:!1,isInWos:1,isInBkci:!1,hash:null,bookSignature:"Xing-Jian Jing",publishedDate:"June 1st 2008",coverURL:"https://cdn.intechopen.com/books/images_new/3686.jpg",numberOfDownloads:86167,numberOfWosCitations:55,numberOfCrossrefCitations:65,numberOfCrossrefCitationsByBook:3,numberOfDimensionsCitations:107,numberOfDimensionsCitationsByBook:3,hasAltmetrics:1,numberOfTotalCitations:227,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:null,dateEndSecondStepPublish:null,dateEndThirdStepPublish:null,dateEndFourthStepPublish:null,dateEndFifthStepPublish:null,currentStepOfPublishingProcess:1,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"146577",title:"Dr.",name:"Xj",middleName:null,surname:"Jing",slug:"xj-jing",fullName:"Xj Jing",profilePictureURL:"https://mts.intechopen.com/storage/users/146577/images/system/146577.jpg",biography:"Xingjian Jing received the B.S. degree from Zhejiang University, Hangzhou, China, in 1998, the M.S. degree from the Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, in 2001, and the Ph.D. degree in nonlinear systems and signal processing from the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K., in 2008. He is currently an Assistant Professor in the Department of Mechanical Engineering, Hong Kong Polytechnic University (PolyU), Hong Kong. Before joining PolyU, he was a Research Fellow with the Institute of Sound and Vibration Research, University of Southampton, Southampton, U.K., from August 2008 to November 2009, where he worked on biological signal processing in collaboration with neuroscientists and funded by the Biotechnology and Biological Sciences Research Council (U.K.). He has published more than 50 papers in refereed journals and conference proceedings. His current research interests include system identification, signal processing, control of complex nonlinear systems, nonlinear analysis in the frequency domain, intelligent computing methods and their applications in nonlinear mechanical systems (sound and vibration control), nonlinear physiological systems (neural systems), robotic systems, and others.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"1",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1279",title:"Mobile Robot",slug:"cognitive-robotics-mobile-robot"}],chapters:[{id:"5350",title:"Local Autonomous Robot Navigation Using Potential Fields",doi:"10.5772/6022",slug:"local_autonomous_robot_navigation_using_potential_fields",totalDownloads:5885,totalCrossrefCites:15,totalDimensionsCites:23,hasAltmetrics:1,abstract:null,signatures:"Miguel A. Padilla Castañeda, Jesús Savage, Adalberto Hernández and\r\nFernando Arámbula Cosío",downloadPdfUrl:"/chapter/pdf-download/5350",previewPdfUrl:"/chapter/pdf-preview/5350",authors:[null],corrections:null},{id:"5351",title:"Foundations of Parameterized Trajectoriesbased Space Transformations for Obstacle Avoidance",doi:"10.5772/6023",slug:"foundations_of_parameterized_trajectoriesbased_space_transformations_for_obstacle_avoidance",totalDownloads:2314,totalCrossrefCites:1,totalDimensionsCites:3,hasAltmetrics:0,abstract:null,signatures:"J.L. Blanco, J. González and J.A. Fernández-Madrigal",downloadPdfUrl:"/chapter/pdf-download/5351",previewPdfUrl:"/chapter/pdf-preview/5351",authors:[null],corrections:null},{id:"5352",title:"Text Detection and Pose Estimation for a Reading Robot",doi:"10.5772/6020",slug:"text_detection_and_pose_estimation_for_a_reading_robot",totalDownloads:2311,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Marius Bulacu, Nobuo Ezaki and Lambert Schomaker",downloadPdfUrl:"/chapter/pdf-download/5352",previewPdfUrl:"/chapter/pdf-preview/5352",authors:[null],corrections:null},{id:"5353",title:"Robust Vision-only Mobile Robot Navigation with Topological Maps",doi:"10.5772/6019",slug:"robust_vision-only_mobile_robot_navigation_with_topological_maps",totalDownloads:2356,totalCrossrefCites:0,totalDimensionsCites:3,hasAltmetrics:0,abstract:null,signatures:"Toon Goedeme and Luc Van Gool",downloadPdfUrl:"/chapter/pdf-download/5353",previewPdfUrl:"/chapter/pdf-preview/5353",authors:[null],corrections:null},{id:"5354",title:"A Practical Approach for Motion Planning of Wheeled Mobile Robots",doi:"10.5772/6017",slug:"a_practical_approach_for_motion_planning_of_wheeled_mobile_robots",totalDownloads:2552,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Luis Gracia and Josep Tornero",downloadPdfUrl:"/chapter/pdf-download/5354",previewPdfUrl:"/chapter/pdf-preview/5354",authors:[null],corrections:null},{id:"5355",title:"SOVEREIGN: an Autonomous Neural System for Incrementally Learning to Navigate towards a Rewarded Goal",doi:"10.5772/6018",slug:"sovereign__an_autonomous_neural_system_for_incrementally_learning_to_navigate_towards_a_rewarded_goa",totalDownloads:1951,totalCrossrefCites:4,totalDimensionsCites:4,hasAltmetrics:0,abstract:null,signatures:"William Gnadt and Stephen Grossberg",downloadPdfUrl:"/chapter/pdf-download/5355",previewPdfUrl:"/chapter/pdf-preview/5355",authors:[null],corrections:null},{id:"5356",title:"Stereo Matching and 3D Reconstruction via an Omnidirectional Stereo Sensor",doi:"10.5772/6016",slug:"stereo_matching_and_3d_reconstruction_via_an_omnidirectional_stereo_sensor",totalDownloads:2147,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:0,abstract:null,signatures:"Lei He, Chuanjiang Luo, Feng Zhu and Yingming Hao",downloadPdfUrl:"/chapter/pdf-download/5356",previewPdfUrl:"/chapter/pdf-preview/5356",authors:[null],corrections:null},{id:"5357",title:"Motion Estimation of Moving Target Using Multiple Images in Intelligent Space",doi:"10.5772/6015",slug:"motion_estimation_of_moving_target_using_multiple_images_in_intelligent_space",totalDownloads:1852,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"TaeSeok Jin and Hideki Hashimoto",downloadPdfUrl:"/chapter/pdf-download/5357",previewPdfUrl:"/chapter/pdf-preview/5357",authors:[null],corrections:null},{id:"5358",title:"Robot Tracking Using the Particle Filter and SOM in Networked Robotic Space",doi:"10.5772/6013",slug:"robot_tracking_using_the_particle_filter_and_som_in_networked_robotic_space",totalDownloads:2647,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"TaeSeok Jin",downloadPdfUrl:"/chapter/pdf-download/5358",previewPdfUrl:"/chapter/pdf-preview/5358",authors:[null],corrections:null},{id:"5359",title:"Artificial Coordinating Field Based Motion Planning of Mobile Robots",doi:"10.5772/6014",slug:"artificial_coordinating_field_based_motion_planning_of_mobile_robots",totalDownloads:2109,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Xing-Jian Jing and Yue-Chao Wang",downloadPdfUrl:"/chapter/pdf-download/5359",previewPdfUrl:"/chapter/pdf-preview/5359",authors:[null],corrections:null},{id:"5360",title:"Minimum-Energy Motion Planning for Differential-Driven Wheeled Mobile Robots",doi:"10.5772/6012",slug:"minimum-energy_motion_planning_for_differential-driven_wheeled_mobile_robots",totalDownloads:2865,totalCrossrefCites:2,totalDimensionsCites:15,hasAltmetrics:0,abstract:null,signatures:"Chong Hui Kim and Byung Kook Kim",downloadPdfUrl:"/chapter/pdf-download/5360",previewPdfUrl:"/chapter/pdf-preview/5360",authors:[null],corrections:null},{id:"5361",title:"Performance Evaluation of Potential Field Based Distributed Motion Planning Methods for Robot Collectives",doi:"10.5772/6010",slug:"performance_evaluation_of_potential_field_based_distributed_motion_planning_methods_for_robot_collec",totalDownloads:2483,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Leng-Feng Lee and Venkat N. Krovi",downloadPdfUrl:"/chapter/pdf-download/5361",previewPdfUrl:"/chapter/pdf-preview/5361",authors:[null],corrections:null},{id:"5362",title:"Motion Planning of Intelligent Explorer for Asteroid Exploration Mission",doi:"10.5772/6011",slug:"motion_planning_of_intelligent_explorer_for_asteroid_exploration_mission",totalDownloads:2830,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Takashi Kubota, Tatsuaki Hashimoto and Jun’ichiro Kawaguchi",downloadPdfUrl:"/chapter/pdf-download/5362",previewPdfUrl:"/chapter/pdf-preview/5362",authors:[null],corrections:null},{id:"5363",title:"Modification of Kohonen Rule for Vehicle Path Planing by Behavioral Cloning",doi:"10.5772/6009",slug:"modification_of_kohonen_rule_for_vehicle_path_planing_by_behavioral_cloning",totalDownloads:1771,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The problem of path generation for the autonomous vehicle in environments with infinite number obstacles is considered. Generally, the problem is known in the literature as the path planning. This chapter treated that problem using the algorithm, named MKBC, which is based on the behavioral cloning and Kohonen rule. In the behavioral cloning, the system learns from control traces of a human operator. Kohonen rule connected with the weighting coefficients, while the MKBC algorithm does not use the weighting values as values from the previous time, but permanentlly uses the training values as weighting values. That is something which enables an intelligent system to learn from the examples (operator's demonstrations) to control a vehicle in the process of the obstacles avoiding, like the human operator does. Like that, the very important MKBC characteristic is the symplicity. The MKBC simplicity is something which is so obviously, specialy according to the RBF neural network and the machine learnig algorithm which is used the previously. Following the MKBC given context the problem narrow passage avoiding and the goal position reaching fundamentally is observed. Namely, defining if ? then rule, according to the named cases is treated as destroying of the consistency of the methodology. In that sense, using MKBC neural network the solution was found. A the end, the autonomous vehicle mathematical model which is given by nonlinear equations describing a 12 state dynamical system is used and in that case the MKBC algorithm is applied successfully. Eventually, as it has been illustrated the previously, the advantage of the entire methodology lies in the fact that a complete path of the vehicle can be defined off-line, without using sophisticated symbolical models of obstacles. These are facts that MKBC algorithm and the given methodology substantially differ from the others. In the next phase it is expected to confirm results in on ? line simulation process. Key words: vehicle path planning, behavioral cloning, cloning success, obstacle avoiding, machine learning, Kohonen rule, neural network, Shark dynamical model.",signatures:"Ranka Kulic",downloadPdfUrl:"/chapter/pdf-download/5363",previewPdfUrl:"/chapter/pdf-preview/5363",authors:[null],corrections:null},{id:"5364",title:"An Immunological Approach to Mobile Robot Navigation",doi:"10.5772/6008",slug:"an_immunological_approach_to_mobile_robot_navigation",totalDownloads:2100,totalCrossrefCites:1,totalDimensionsCites:3,hasAltmetrics:0,abstract:null,signatures:"Guan-Chun Luh and Wei-Wen Liu",downloadPdfUrl:"/chapter/pdf-download/5364",previewPdfUrl:"/chapter/pdf-preview/5364",authors:[null],corrections:null},{id:"5365",title:"A Mobile Computing Framework for Navigation Tasks",doi:"10.5772/6007",slug:"a_mobile_computing_framework_for_navigation_tasks",totalDownloads:2806,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Mohammad R. Malek, Mahmoud R. Delavar and Shamsolmolook Aliabady",downloadPdfUrl:"/chapter/pdf-download/5365",previewPdfUrl:"/chapter/pdf-preview/5365",authors:[null],corrections:null},{id:"5366",title:"Planning with Discrete Harmonic Potential Fields",doi:"10.5772/6006",slug:"planning_with_discrete_harmonic_potential_fields",totalDownloads:2245,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:1,abstract:null,signatures:"Ahmad A. 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Parhi",downloadPdfUrl:"/chapter/pdf-download/5369",previewPdfUrl:"/chapter/pdf-preview/5369",authors:[null],corrections:null},{id:"5370",title:"Spatial Reasoning with Applications to Mobile Robotics",doi:"10.5772/6002",slug:"spatial_reasoning_with_applications_to_mobile_robotics",totalDownloads:2138,totalCrossrefCites:2,totalDimensionsCites:5,hasAltmetrics:0,abstract:null,signatures:"Lech Polkowski and Pawel Osmialowski",downloadPdfUrl:"/chapter/pdf-download/5370",previewPdfUrl:"/chapter/pdf-preview/5370",authors:[null],corrections:null},{id:"5371",title:"Automated Static and Dynamic Obstacle Avoidance in Arbitrary 3D Polygonal Worlds",doi:"10.5772/6001",slug:"automated_static_and_dynamic_obstacle_avoidance_in_arbitrary_3d_polygonal_worlds",totalDownloads:3735,totalCrossrefCites:3,totalDimensionsCites:3,hasAltmetrics:0,abstract:null,signatures:"J.M.P. van Waveren and L.J.M. 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Immune-mediated injury of the resident glomerular cells plays a critical role in many forms of glomerular injury and mounting evidence indicates that both humoral and cell-mediated mechanisms are involved.
Studies in the past quarter of century have established a role for lymphocytes in the pathogenesis of immune-mediated glomerular diseases. CD4- expressing T helper cells are a subgroup of T lymphocytes that provide help for immunoglobulin production and direct cellular immune mechanisms through activation of effector cells, such as macrophages. The role of T helper cells is variable depending on the nature of disease, and differential activation of T helper cell subsets has been proposed as one of the plausible explanations for the diversity of injury in glomerular diseases.
The majority of T helper cells are naïve cells without specified patterns of cytokine production (Th0 cells). Upon stimulation by antigen-presenting cells, such as macrophages and dendritic cells (DC), they receive the signal via their ɑ/β T cell receptor (TCR) and differentiate into either T helper 1 (Th1) or T helper 2 (Th2) cells. DC are specialized cells for uptake, transport, processing and presentation of antigens to T cells (Mellman and Steinman 2001), and subsets of DC have been identified that may influence Th1 and Th2 development (Moser and Murphy 2000). They facilitate Th1 differentiation when they are stimulated via toll-like receptors (TLRs), by secreting IL-12, while Th2 differentiation is mediated by IL-4. The cytokine milieu is a key factor in directing Th1 and Th2 polarization.
Differentiated Th1 and Th2 subclasses are functionally distinguished by their specific profiles of cytokine production and their ability to induce different types of effector responses. Th1 cells produce interferon (IFN)-γ, interleukin (IL)-2 and tumor necrosis factor (TNF)-α. They activate macrophages, induce delayed-type hypersensitivity responses, and stimulate B cells to produce complement-fixing antibody isotypes that mediate opsonization and phagocytosis. Th2 cells produce IL-4, IL-5, IL-10 and IL-13 and promote production of non-complement-fixing IgG isotypes and IgE. Therefore, Th1 cells are largely responsible for cell-mediated immunity, while Th2 cells play a central role in humoral immune response.
There is an interaction between the Th1 and the Th2 responses. They inhibit each other by several mechanisms. For example, IFN-γ produced in Th1 cells inhibit the expression of CD40 ligand (CD40L) on the surface of Th2 cells and suppress B cell activity. On the other hand, IL-4 and IL-10 from Th2 cells inhibit IFN-γ and IL-12 production in Th1 cells.
In the kidney, the Th2-mediated response is characterized by formation of immune complexes and deposition in the glomerulus, which is usually followed by complement activation. On the other hand, the Th1-mediated response is characterized by infiltration of circulating mononuclear cells and crescent formation. Both responses are capable of releasing mediators that are responsible for functional and structural changes as seen in primary glomerular diseases. Importantly, these apparently discrepant mechanisms of immune reactions, the Th1 and Th2 responses, are not always mutually exclusive and operate in a coordinated manner in glomerular injury, depending on etiology and pathological stages.
Recently, Th17 cells were identified as a new subset of T helper cells unrelated to Th1 or Th2 cells. They are a subset of T helper cells characterized by IL-17 production, differentiated from naïve T cells in the presence of both transforming growth factor (TGF)-β and IL-6 in mice, and are implicated in the pathogenesis of experimental allergic encephalomyelitis (EAE) and collagen-induced arthritis (CIA) (Langrish et al. 2005). Evidence suggests that the Th17 response may also pertain to inflammatory and autoimmune diseases in humans, such as rheumatoid arthritis, inflammatory bowel disease and psoriasis. Several cytokines such as IL-21 and IL-23 are involved in regulating activation and differentiation of Th17 cells. In the kidney, Th17 effector cells have been demonstrated in biopsy samples in human glomerulonephritis (Abdulahad et al. 2009) and may participate in the pathogenesis of proliferative glomerulonephritis via production of IL-17 and direct induction of renal inflammation (Kim et al. 2009; Miossec et al. 2009; Turner et al. 2010; Kitching and Holdsworth 2011). Recent studies utilizing genetically engineered mice showed that RORγt promotes the development of crescentic glomerulonephritis by directing nephritogenic Th17 responses (Steinmetz et al. 2011). In contrast, the adaptive immune response by T cells is regulated by T regulatory cell (Treg)s (Jiang and Chess 2006). Treg cells are in charge of suppressing potentially deleterious activities of Th cells. Lyn-deficient mice, which increase titers of autoantibodies with age, develop immune complex-mediated glomerulonephritis, and Tregs are expanding in these mice in an effort to control the autoimmune disease, although they are simply overwhelmed by the disease process eventually (Tsantikos et al. 2009).
Many forms of glomerulonephritis are autoimmune in nature and loss of self-tolerance and exposure to etiologic agents lead to immune-complex formation, presumably by mechanisms of molecular mimicry and epitope spreading. Causative antigens include normal intrinsic structures of the glomerulus (eg. non-collagenous domain of the alpha-III chain of type IV collagen in Goodpasture’s syndrome), non-renal self antigens (eg. DNA-nucleosome complex in systemic lupus erythematosus (Kalaaji et al. 2007)) or exogenous agents (eg. HCV antigen-containing cryoglobulins in hepatitis C virus-associated membranoproliferative glomerulonephritis (MPGN) (Stehman-Breen and Johnson 1998)). Immune complexes are either formed in the systemic circulation and localize in the glomerulus through passive trapping (eg. serum sickness disease in rabbits) or are formed in situ and form immune deposits locally. In the latter case, an antibody either binds specific antigens intrinsic to the glomerulus, or soluble antigens that become localized due to charge interactions with the glomerular capillary wall or by nonspecific uptake by the mesangium.
Identification of responsible antigens in human glomerular diseases, however, is difficult, and multiple antigens and routes leading to immune complex formation appear to co-exist in a single disorder. In poststreptococcal glomerulonephritis (PSGN), for example, several candidate exogenous antigens, such as nephritis-associated plasmin receptor (NAPlr) and Streptococcal pyrogenic exotoxin B (SPE B) have been postulated. In systemic lupus erythematosus (SLE), circulating immune complexes composed of antibodies against double-stranded DNA and ribonucleoproteins are readily detectable, which correlate with disease activity (Izui et al. 1979), and anti-DNA and DNA immune complexes are enriched in kidney eluates (Koffler et al. 1967), leading to speculation that immune deposits are formed in circulation and accumulate in the kidney through passive trapping. However, immune complexes are formed in situ as well, via charge interactions between antibodies and DNA-histone complexes already deposited in the glomerulus (Schmiedeke et al. 1989; van Bruggen et al. 1997; Mortensen and Rekvig 2009; Crispin et al. 2010). Furthermore, some lupus autoantibodies appear to bind directly to intrinsic glomerular antigens.
Deposits are observed in subepithelial (eg. Heymann nephritis model in rats and human membranous nephropathy), subendothelial (eg. type 1 MPGN) and mesangial (eg. IgA nephropathy) spaces. In general, immune complexes formed in situ are more nephritogenic, because they are more capable of activating local complement response (Couser and Salant 1980), releasing vasoactive substances, reactive oxygen species, cytokines and procoagulants (Couser 1998). In fact, it is rather unusual that immunoglobulins themselves induce significant injury in the kidney, except for antibodies against components of the podocyte slit diaphragm (Holthofer 2007).
The complement system is an important mediator of tissue inflammation and injury. It is a family of more than 20 serum and cell-surface proteins and they operate as a cascade of reactions. The IgG immune complexes bind to complement factor C1q and activate the C1 complex, leading to the formation of C3 convertase and the enzymatic cleavage of the central complement component C3. C3 then releases the chemotactic factor C3a and the covalent C3b attaches to the host cells, which is an important step for continued activation of the terminal membrane attack complex, C5b-9, and for the amplification through the alternative pathway. C5b-9 is thought to be the key component responsible for the complement-mediated glomerular injury. It inserts in sublytic amounts into the glomerular membranes, triggers cell activation and mediates injury.
The complement cascade is tightly regulated by short half-lives of its components and a series of endogenous regulatory proteins. Complement regulatory proteins counteract the complement activity and protect glomerular cells from injury (Nangaku 1998). In vitro, overexpression of CD59 protected cultured glomerular cells from attack (Nangaku et al. 1996). In the rat Heymann nephritis model, simultaneous blockade of complement regulatory proteins by neutralizing antibodies was required to develop proteinuria following injection of anti-megalin antibody (Schiller et al. 1998). Furthermore, genetic ablation of decay-accelerating factor (DAF) and CD59 aggravated tissue injury in anti-GBM nephritis (Sogabe et al. 2001), nephrotoxic nephritis (Lin et al. 2002) and ischemia-reperfusion (Yamada et al. 2004) models in mice. In humans, genetic abnormalities of factor H, a soluble complement regulatory protein at the hit point of C3b, compose approximately 15-30% of atypical HUS (Rougier et al. 1998; Warwicker et al. 1998; Noris et al. 1999), showing that failure to control intravascular complement activity can lead to endothelial injury, formation of thrombus, and eventually, HUS. Mice genetically deficient for Factor H, as well as pigs with congenital factor H deficiency develop type II MGPN (Pickering et al. 2002), again highlighting the critical relevance of complement regulation in maintaining normal glomerular structure.
The role of immune complexes formed in situ has been most extensively studied in the Heymann nephritis model in the rat, a human counterpart of membranous nephropathy (MN). This is a non-proliferative form of GN in which the humoral, Th2 responses play an important role. In human idiopathic MN, an increase in the percentage of IL-4 (Masutani et al. 2004) and IL-10 (Hirayama et al. 2002) was observed in peripheral blood T cells, which correlated with the amount of proteinuria.
Following induction of the disease, antibodies against gp330, megalin (Cavallo 1994; Ronco and Debiec 2005), are deposited at the subepithelial space of the glomerulus and trigger podocyte injury through activation of the complement system, particularly the membrane attack complex, C5b-9. C5b-9 inserts into the podocyte membrane and is then transported across the cell to be extruded into the urinary space, resulting in elevated levels of C5b-9 in the urine (Kerjaschki et al. 1989). C5b-9 is thought to be the major mediator of altered glomerular permeability function, although histologic changes are minimal by light microscopy (Nangaku et al. 2005). Depletion of complement complements using cobra venom factor greatly reduced the amount of proteinuria (Salant et al. 1980; Saran et al. 2003). At the cellular level, C5b-9 generates hydrogen peroxide (Shah 1988; Neale et al. 1993) triggers DNA damage (Pippin et al. 2003), causes reversible disruption of actin microfilaments (Topham et al. 1999), increases the expression of TGF-β and its receptors, leading to overproduction of extracellular matrix, GBM thickening and spike formation. It also induces apoptosis in podocytes, dissociation of nephrin from the actin cytoskeleton (Yuan et al. 2002), detachment and excretion in the urine (Cybulsky 2011). However, subepithelial deposits in general induce no inflammation, probably because they are located at a site inaccessible to circulating cells.
Several caveats exist in translating these findings in rats into human MN. First, the responsible antigen, megalin, shows a distinct pattern of spatial distribution among species. In rats, megalin is expressed both on the brush border of proximal tubules and the soles of podocyte foot processes at which immune complexes are initially formed. In humans, however, megalin is only expressed in proximal tubules and not in podocytes, excluding megalin from the list of responsible self-antigens in human MN. Nevertheless, findings obtained from the Heymann nephritis provide solid evidence that some components on the podocyte membrane serve as targets for immune complex formation in situ and trigger cascades of humoral immune responses that lead to massive proteinuria. Second, deposition of immunoglobulin in human MN is predominantly of the IgG4 subclass, which is theoretically incapable of triggering complement activation. This is in contrast to the fact that complements undoubtedly play an important role in the rat Heymann nephritis. It may be a relevant finding that C6-deficient PVG rats incapable of forming C5b-9 also develop massive proteinuria following injection of antisera, suggesting that complement-independent mechanisms may also exist in this model (Spicer et al. 2007).
To date, much effort has been made to identify podocyte antigens responsible for human MN, which are only beginning to be uncovered. Recent breakthrough studies revealed pathogenic antigens of human MN in podocytes; i.e. neutral endopeptidase (NEP) that causes neonatal MN and phospholipase A2 receptor (PLA2R) that causes adulthood MN.
The proposed mechanisms on the pathogenesis of anti-NEP antibody-mediated neonatal NM was as follows. A genetically NEP-deficient mother developed anti-NEP antibody during the first pregnancy, which was transferred to the second baby not deficient for NEP. As a result, antibody against NEP localized on the surface of podocytes, formed immune complex in situ and subepithelial immune deposits and eventually developed neonatal membranous nephropathy in the second baby (Debiec et al. 2002). Subsequently, families with truncating mutation in the MME gene (coding for NEP) were reported, in which cases second infants born from MME-mutated mothers developed neonatal MN, indicating that the MME gene product is a cause of alloimmunization during pregnancy (Debiec et al. 2004). Clearly, however, NEP is only responsible for a fraction of rare cases of neonatal MN and not likely a universal antigen.
In contrast, serum from approximately 70% of patients with idiopathic membranous nephropathy recognized a 185 kDa glycoprotein, which was identified as PLA2R by mass spectrometry. Anti-PLA2R antibodies in serum were mainly of IgG4 subclass, the predominant IgG subclass in glomerular deposits. PLA2R was expressed in podocytes of normal human glomeruli and colocalized with IgG4 in subepithelial immune deposits (Beck et al. 2009). These findings were recently supported by independent genomewide association studies of single-nucleotide polymorphisms (SNPs) in patients with idiopathic MN from three populations of white ancestry (Stanescu et al. 2011). The joint analysis of data from the 556 patients studied identified the gene encoding PLA2R as a risk allele of idiopathic MN.
Anti-GBM antibody disease (Goodpasture’s syndrome) is a disorder in which circulating antibodies against an antigen intrinsic to the glomerular basement membrane (GBM) cause rapidly progressive glomerulonephritis (RPGN). Non-collagenous domain of the alpha-III chain of type IV collagen (α3IV-NCI) is likely a responsible antigen (Hudson et al. 2003; Hudson 2004), and eluates from patients contain antibodies against α5IV-NCI as well as α3IV-NCI. Of interest, the antigen requires certain quarternary structures to be recognized by the antibody, and the native cross-linked α345IV-NCI escapes recognition (Pedchenko et al. 2010). The disease is primarily initiated through autoantibody-mediated reactions, but an additional role of delayed hypersensitivity reactions is also suggested, because Th1 effector cytokines such as IL-12 and IFN-γ play important roles in this model (Kitching et al. 2004). Passive transfer of anti-GBM antibodies alone was not sufficient to induce disease in the absence of T cells (Kalluri et al. 1997) and T cells sensitized to the GBM antigen alone were sufficient to initiate injury (Wu et al. 2002). Furthermore, oral administration of α3IV-NCI ameliorated disease (Reynolds and Pusey 2001) and nasal application of this antigen protected from injury, which was associated with suppression of glomerular T cells and macrophages (Reynolds et al. 2005). These findings suggested the role of systemic suppression of T cell function in ameliorating disease. In this regard, the possible participation of Tregs is anticipated, but this remains to be proven.
Goodpasture’s syndrome is clinically associated with alveolar hemorrhage. Because the α3IV-NCI is also expressed within the alveolar basement membrane, responsible antibodies recognize alveolar epithelium as well. Immune complexes then cause injury and subsequent effector responses, leading to pulmonary hemorrhage in affected patients.
The major pathogenic mechanism of poststreptococcal glomerulonephritis (PSGN) is an in situ immune complex formation due to deposition of streptococcal nephritogenic antigens, such as nephritis-associated plasmin receptor (NAPlr) and Streptococcal pyrogenic exotoxin B (SPE B). Both are capable of activating the alternate pathway of the complement cascade and enhance the expression of adhesion molecules. SPE B also stimulates the production of chemotactic cytokines.
NAPlr was isolated from group A streptococcus and was shown to bind plasmin(ogen). In the original report, 92 percent of Japanese patients with the acute PSGN had anti-NAPlr antibodies, and about 80% of renal biopsy samples showed deposits of NaPlr, especially in the early stage of the disease, but the deposits did not colocalize with either C3 or IgG. NAPlr exhibits glyceraldehyde-3-phosphate dehydrogenase (GAPDH) activity in vitro. Mechanistically, it is speculated that NAPlr in the mesangium interacts with plasmin(ogen) and causes glomerular injury by degrading GBM through activation of metalloproteinase precursors. Then, circulating immune complexes move across damaged GBM and accumulate in the subepithelial space (Yamakami et al. 2000; Yoshizawa et al. 2004).
SPE B is a cationic cysteine proteinase and was found in 12 of 17 biopsies from patients in Latin America and Switzerland. SPE B deposits localized within the subepithelial electron dense deposits (humps) and colocalized with complement (Batsford et al. 2005). Antibodies to SPE B were detected in the convalescent sera in all patients tested.
To date, it is speculated that separate antigens may be responsible for PSGN in different parts of the world and among patients with distinct genetic backgrounds (Rodriguez-Iturbe and Batsford 2007; Rodriguez-Iturbe and Musser 2008).
Immune complexes can be formed and deposited in other compartments of the glomerulus as well. Deposition in the subendothelial space can be found in human type 1 MPGN and lupus nephritis (Class III and IV). They recruit circulating inflammatory cells, such as neutrophils, lymphocytes, macrophages and platelets (Adler and Brady 1999), activate effector responses and cause injury. Local chemotactic factors such as C5a and IL-8 recruit neutrophils to sites of inflammation. There, they phagocytose the immune complex aggregates, become activated and undergo a respiratory burst that generates reactive oxygen species. Macrophages are recruited through interaction with deposited immunoglobulins and by several chemokines, such as macrophage chemoattractant protein-1 (MCP-1) and RANTES. Lymphocyte-derived molecules such as macrophage inhibitory factor (MIF) and leukocyte adhesion molecules such as ICAM-1 and VCAM-1 also trigger their migration (Nikolic-Paterson and Atkins 2001). In contrast to neutrophils, they release tissue factors and TGF-β and facilitate extracellular matrix accumulation which eventually leads to glomerular sclerosis.
Immune deposits in the mesangium are a representative feature of human IgA nephropathy and lupus nephritis (Class I and II). Following deposit formation, these cells initiate a cascade of inflammatory processes, including complement activation, coagulation and release of cytokines and growth factors (Gomez-Guerrero et al. 2005). C5b-9-mediated mechanisms of complement activation are likely to be responsible for immunopathology in the mesangium, too. Furthermore, they undergo a dysregulated increase in proliferation and expansion that lead to glomerular hypercellularity, express markers of de-differentiation such as α-SMA and serve as a source of inflammatory cytokines and growth factors, such as transforming growth factor (TGF)-β and platelet-derived growth factor (PDGF) that contribute to glomerular sclerosis.
In the kidney, T cell-mediated injury occurs primarily through effector responses, such as release of chemokines and recruitment of macrophages and is indispensable for glomerular immunopathology, and available data even suggest that a subset of Th17 cells have effector cell functions alone. On the other hand, some forms of glomerulonephritis do not require immune complexes to develop full-blown pathology. Crescentic glomerulonephritis was produced in a chicken with chemically blocked Bursa of Fabricius, indicating that the lesion was developed without antibody deposits (Bolton et al. 1984). Nephritis was also transferred to normal chickens using only T cells sensitized to GBM (Bolton et al. 1988), and to rats using lymphocytes sensitized to the Goodpasture antigen (Wu et al. 2002). These results indicate that T cells play important roles in the pathogenesis of certain forms of crescentic nephritis. Cell-mediated immune responses are also critical in several other types of glomerulonephritis, such as minimal change nephrotic syndrome (MCNS), focal and segmental glomerulosclerosis (FSGS), pauci-immune crescentic glomerulonephritis, and lupus (Class IV). Mononuclear cells such as lymphocytes and macrophages are recruited to the glomerulus and release tissue factors and TGF-β that initiate fibrin deposition and extracellular matrix accumulation, and there is speculation that T cells may be the source of permeability factors that contribute to proteinuria and noninflammatory glomerular injury.
The initial manifestations in MCNS and FSGS are dramatic increases in glomerular permeability, which are associated with little or no structural abnormality by light microscopy. In these disorders, the presence of non-immunoglobulin circulating permeability factors is postulated, for the following reasons. First, the rapid recurrence of MCNS and FSGS is clinically observed when normal kidneys are transplanted into patients with these disorders (Hoyer et al. 1972). Second, MCNS kidneys demonstrate rapid resolution when placed in a normal environment (Ali et al. 1994). Similarly, a market decrease in proteinuria is observed in some FSGS patients following plasma exchange. Third, serum from recurrent FSGS are able to increase the albumin reflection coefficient of isolated normal glomeruli in vitro (Savin et al. 1996). However, the identity of these permeability factors is elusive and it remains unclear how non-immunoglobulin permeability factors increase glomerular permeability. One study implicated CLC1 as a candidate factor in recurrent FSGS (McCarthy et al. 2010). In contrast, up-regulation of the glomerular expression of angiopoietin-like-4 (Angptl4), a secreted glycoprotein, was shown in the serum and in podocytes in experimental models of MCNS and in the human disease (Clement et al. 2011). A pathogenic role of Angptl4 expression in podocytes was confirmed in genetically engineered animals.
Severe crescentic injury in the glomerulus, regardless of its underlying cause, is regarded as the result of a Th1 predominant cellular response. It is presumably mediated by T cell- and macrophage- mediated, delayed hypersensitivity responses, which is suggested by the association of cellular immune mediators with local fibrin deposition (Tipping and Holdsworth 2006). Macrophages release ROS and inflammatory cytokines, cause injury in the Bowman’s capsule and mediate crescent formation by facilitating compensatory cell growth and influx of inflammatory cells.
Nephrotoxic nephritis is one of the most intensively studied models of experimental glomerulonephritis characterized by cellular proliferation and crescent formation. In this model, nephrotoxic serum is taken up and presented to naïve T helper cells by antigen-presenting cells, presumably DC. Naïve T cells then differentiate into Th1 effector cells (Schatzmann et al. 1999), which play a central role in the pathogenesis. The first evidence came from a study comparing histological features of injury in Th1 (C57BL6) - and Th2 (BALB/c) - dominant mice (Huang et al. 1997). Studies in Lewis and Brown Norway rats also demonstrated features of cell-mediated types of glomerular injury, which were accompanied by a Th1 polarized profile of cytokine production (Coelho et al. 1997). Analysis of cytokine profiles from biopsies of proliferative glomerulonephritis showed higher levels of IL-2 and IFN-γ, as compared to non-proliferative forms (Kim et al. 2001). In addition, studies in human anti-GBM glomerular disease supported a role for Th1 responses in injury, by demonstrating IFN-γ-predominant effector cell responses in active disease and IL-10 predominance in remission (Cairns et al. 2003).
Cytokines produced in response to Th1 polarization play an essential role for crescent formation. Glomerular T cell and macrophage accumulation was attenuated in mice with genetic deletion of Th1 cytokines, such as IL-12 (Kitching et al. 2000), IFN-γ (Kitching et al. 1999) and TNF (Timoshanko et al. 2003), which was associated with amelioration of crescentic injury. Conversely, administration of IL-12 augmented Th1 responses and crescentic nephritis (Kitching et al. 1999). On the other hand, Th2 cytokines attenuated proliferative and crescentic nephritis. Mice genetically deficient for IL-4 or IL-10 showed more pronounced Th1 responses and developed more severe crescentic nephritis (Kitching et al. 1998). Conversely, overexpression of IL-10 by gene transfer attenuated crescentic nephritis in Wistar Kyoto rats (Higuchi et al. 2003).
Not all Th1 predominant cytokines, however, behave in a similar way to augment injury, because discrepant results also exist for the role of IFN-γ, reporting ameliorating effect in nephrotoxic nephritis (Ring et al. 1999), and experimental anti-GBM nephritis (Kitching et al. 2004), suggesting the complex role of IFN-γ beyond the principle of simple Th1/Th2 predominancy. The cellular source and the co-producition of additional cytokines, such as IL-10, may determine whether IFN-γ is protective or harmful (Trinchieri 2007). Similarly, deficiency for IL-13, a Th2-associated cytokine, failed to aggravate nephrotoxic nephritis, despite augmented production of Th1-associated immunoglobulin subclasses (Kitching et al. 2004), leading to speculation that the pathogenic role of Th1-mediated delayed hypersensitivity reactions overweigh that of antibody-mediated immune responses.
DC are remarkably abundant in the tubulointerstitium in the normal kidney. However, DC form periglomerular infiltrates around inflamed glomeruli in nephrotoxic nephritis (Kruger et al. 2004), the rat anti-GBM model (Fujinaka et al. 2007) and some forms of human glomerular diseases, such as Wegener’s granulomatosus and IgA nephropathy (Markovic-Lipkovski et al. 1990). Functionally, dendritic cells appear to have a protective role against injury, by interacting with Th1 cells locally and producing IL-10, thereby suppressing Th1 cell and macrophage functions. When DC were depleted, nephrotoxic nephritis was aggravated. (Scholz et al. 2008).
A predominant role for Th1 responses has been described in other types of crescentic glomerular diseases as well. In ANCA-associated nephritis, T cells and macrophages accumulate in glomerular lesions (Cunningham et al. 1999) and glomerular biopsies show high IFN-γ and low IL-4 mRNA expression, suggesting a Th-1 predominant effector response. Peripheral blood T cells showed a high IFN-γ:IL-4 ratio as compared to non-proliferative forms (Masutani et al. 2003). There is also evidence suggesting the involvement of Th17 responses. Th17 cells promoted autoimmune anti-myeloperoxidase glomerulonephritis in mice (Gan et al. 2010) and patients with ANCA-associated vasculitis had elevated serum levels of IL-17 and IL-23 (Nogueira et al. 2010). It remains unclear, however, how the co-existing Th1 and Th17 responses cross-regulate each other. Available evidence suggests both synergism (O\'Connor et al. 2008) and inhibition (Yi et al. 2008). In active Wegener’s granulomatosis, peripheral blood T cells produced high levels of IFN-γ and monocytes produced high IL-12 regardless of disease activity (Ludviksson et al. 1998). Analysis of cytokine profiles in lesions from the nasal mucosa have yielded conflicting results, and both IL-2 and CCR5+ (Th1) and IL-4 and CCR3+ (Th2) cells were present in renal tissues (Balding et al. 2001).
Human lupus nephritis displays heterogenous patterns of Th1 and Th2 responses, which are probably associated with diverse histopathogolical presentations of this disease entity. In patients with WHO class IV crescentic disease, however, increases in peripheral blood T cell IFN-γ:IL-4 ratio, renal CD3+ cells and macrophages and IFN-γ positive cells were observed compared to patients with either WHO class V or mild glomerular lesions (Masutani et al. 2001). Th1 cytokine predominance was also shown in the urinary sediment of patients with active lupus nephritis (Chan et al. 2003). Murine models of lupus nephritis are also critically dependent on T helper cells, in addition to the almost certain dependency on B cells (Reininger et al. 1996; Chan et al. 1999). Depletion of CD4+ cells attenuated disease in MRL-lpr mice (Jabs et al. 1992), in New Zealand black/white (NZB/NZW) mice (Connolly et al. 1992) and in Y-chromosome-associated lupus mice (Lawson et al. 2001). In MRL/lpr mice, however, cytokine profiling showed conflicting results in terms of Th1 (Takahashi et al. 1996; Kikawada et al. 2003) and Th2 (Santiago et al. 1997) predominancy, again refleting the multifactorial nature of the disease.
A fraction of cases with IgA nephropathy also present with proliferative, crescentic lesions. In general, this is a disease with heterogeneity of Th responses. The onset may be related to factors favoring a Th2-predominnat environment that promotes dysregulated IgA production, but a severe proliferative disease is associated with Th1 predominant responses. This idea is supported by experimental observation that adoptive transfer of T helper cells alone was unable to initiate disease (Suzuki et al. 2007). Meanwhile, IL-12 induced glomerular crescents and macrophage accumulation in a ddY strain with high IgA, suggesting a role of Th1 subsets (Nogaki et al. 2000).
Immune-mediated mechanisms of injury are involved in a variety of primary glomerular diseases. In humoral immune injury, immune complexes against intrinsic renal antigens, exogenous agents and non-renal, self antigens are either formed in situ or are passively trapped in the glomerulus. Immune deposits then trigger injury by activating the complement cascade, releasing oxidants, cytokines and growth factors and recruiting effector cells. The membrane attack complex, C5b-9 plays a critical role in the majority of humoral responses in the kidney. On the other hand, proliferative, crescentic glomerulonephritis is almost always associated with cell-mediated immune responses, which are associated with effector cell activation such as macrophages and release of cytokines and growth factors, leading to delayed hypersensitivity response. Th1 cytokines, such as IFN-γ and IL-12 play important roles during the pathogenesis. The Th17 responses may also participate in cell-mediated injury in some forms of glomerulopathies, such as ANCA-associated nephritis. The humoral and cell-mediated mechanisms of injury are not necessarily exclusive, mutually, but play respective roles at each stage of a given disease category, depending on its nature. The critical, albeit complex, participation of both humoral and cell-mediated immune responses provides rationale for the current treatment strategies that target modulation of immunopathogenesis at multiple stages of glomerular injury.
Chronic inflammation has long been recognized as a major etiological factor for metabolic diseases [1]. The inflammation in metabolic diseases is chronic, low grade and non-antigen-specific but differs from one condition to other [2]. This is different from those seen in infectious diseases and has been named “Metainflammation”. Meta inflammation leads to insulin resistance (IR) wherein the target organs of insulin become resistant to insulin action [2]. IR has now been identified as a major etiological factor for a variety of metabolic diseases, apart from obesity and Type-2 diabetes (T2DM) [2]. Meta inflammation typically starts as an organ-specific inflammation affecting the major target organs of insulin namely adipose tissue, skeletal muscles and liver [2]. With disease progression, it becomes more systemic and starts affecting the blood vessels leading to endothelial dysfunction called vasculopathy [2]. The exact cause of inflammation in IR is not clearly known even though dietary, genetic and environmental factors have been implicated [2].
Infections serve as an important source of inflammation especially in tropical countries and can serve as a link between infections and metabolic diseases [3]. The link between infections and metabolic diseases is less well explored and in recent years has gained tremendous interest [3]. Changes in the lifestyle of people living in industrialized countries have led to a decrease in the infectious burden and an increase in the prevalence of allergic and autoimmune diseases [4]. The leading idea is that some infectious agents – notably those that co-evolved with us – are able to protect us against a large spectrum of immune-related disorders [5]. The strongest evidence for a causal relationship between the decline of infectious diseases and the increase in immunological disorders originates from animal models and a number of clinical studies, suggesting the beneficial effect of infectious agents or their components known as immunomodulators [5]. Immunomodulators are drugs or molecules (Thalidomide. Macrolide antibiotics, and curcumin) that modify the dangerous immune response to prevent the inflammatory damage, while leaving the protective immune response intact [6]. It is speculated that infections as such are important in keeping the immunoregulatory network active and, in the absence of such infections, the immune system gets hyperactivated, resulting in allergies and autoimmunity [5]. In this regard, the helminth infections need a special mention since they were found to be alleviating numerous autoimmune disorders like atopic disorders, systemic lupus erythematosus, multiple sclerosis, sepsis, inflammatory bowel diseases [7].
Not all infections promote inflammation. While in general, viral and bacterial diseases induce inflammation, helminth infections are largely immunosuppressive in nature [3]. The link between fungal and protozoan diseases, with systemic inflammation, is not known. In general, infections which promote inflammation are thought to augment metabolic diseases while those which dampen inflammation by immunomodulation can confer protection against metabolic diseases [3]. Previously, we have shown a decreased prevalence of filarial infection (not disease) among both T1DM [8] and T2DM subjects [9]. Further, serum cytokine profiling revealed the downregulation of Interleukin-6 (IL-6), Tumour Necrosis Factor-alpha (TNF-α) and Granulocyte-Macrophage-Colony Stimulating Factor (GM-CSF) and upregulation of Tumour Growth Factor-Beta (TGF-β) in filarial positive, compared to filarial negative diabetic subjects [9]. Interestingly, the immunomodulatory effect of helminth infection was seen only inT1DM and T2DM subjects but not among the coronary artery disease (CAD) patients [10]. Even though these were cross-sectional studies, they indicate probable immune-mediated protection against both T1DM and T2DM by prior filarial infection. This also indicates some degree of overlap in the disease pathology between these two seemingly different forms of diabetes, which the helminth infection is able to target [3, 11]. If this is true, the decreasing incidence of filariasis (due to mass drug administration programs) which is being carried globally, can fuel diabetic pandemic in future [3, 11]. Thus, childhood infection can either have a beneficial or harmful role in determining the susceptibility to T2DM depending upon the nature of immune training-induced [3, 11].
Traditionally monocytes/macrophages, dendritic cells, Natural killer (NK) cells and granulocytes (neutrophils, eosinophils and basophils) together form the cellular arm of innate immunity, since they recognize the pathogen and damage-associated molecular patterns (PAMPs and DAMPs) [2]. T and B lymphocytes together form the cellular arm of the adaptive immunity, since they recognize antigens/epitopes and have immunological memory [2]. During an immune response, cells of innate immunity recognize PAMPs and DAMPs through various innate immune receptors like Toll-like Receptors (TLRs), NOD-Like Receptors (NLRs), RIG-1 Like Receptors (RLRs) and C-Type Lectin Like Receptors (CLRs), etc. and get activated. Most of these cells take up the cargo, process them and present them to the T cells within the context of MHC [12]. B cells on the other hand take up antigens by antibody-mediated endocytosis, process them and present them to the T cells [12]. The T cells which recognize these MHC: epitope complexes through their T Cell Receptors (TCRs), get activated and secrete cytokines and chemokines [12]. These cytokines and chemokines in turn activate and attract more number of antigen-presenting cells (APCs), completing the positive feedback loop [12]. Thus, antigen processing and presentation and subsequent secretion of cytokines and chemokines establish the cross-talks between innate and adaptive immune responses, which finally determine the magnitude and nature of the immune response [12]. Next, we will look at the role played by specific cell-types in IR and immunomodulation.
Out of several immune cell types, macrophages were the earliest to be associated with IR [13]. Macrophages are phagocytic cells that serve as the first line of defence mechanism against infections [14]. They are of two types: M1 (classically activated) and M2 (alternatively activated), which differ in their cytokine secretion and functions [14]. The infiltration of macrophages into adipose tissue under conditions of obesity-associated IR was reported as early as 1976 [13]. Classically activated or CD11c+CD206− M1 macrophages were found to be elevated in visceral adipose tissue (VAT) of diet-induced obese (DIO) mice which secrete increased levels of pro-inflammatory cytokines like TNF-α, IL-1β and IL-6 (Figure 1) [15]. Transcriptional profiling of adipose tissue from leptin knock-out mice revealed the upregulation of 1,304 genes which showed a strong correlation with the body mass index. Of the top 100 genes which were differentially expressed, 30% were specific for macrophages [16]. Resident macrophages in lean mice expressed Macrophage Galactose-binding C-type lectin (MGL-1) along with other genes associated with M2 macrophages (Ym1+, CCR2−, Arg-1+ and IL-10, 15, 16]. With diet-induced obesity, a new population of Ym1−, MGL-1−, CCR2+, iNOS+ M1 macrophages were recruited which cluster around the necrotic adipocytes forming crown-like structures. While the M1 macrophages are associated with IR, M2 is more associated with insulin sensitivity (Figure 1) [15, 16, 17]. In general, peripheral macrophages in newly diagnosed diabetic patients are hyporesponsive to inflammatory signals due to the downregulation of TLRs [18]. In contrast, macrophages from chronic diabetic patients show chronic activation due to constitutive upregulation of B7–1 molecules [19].
Model explaining “Metabolic Hygiene Hypothesis”. Chronic inflammation serves as a link between infections and type-2 diabetes. During early stages of the disease, the inflammation is more tissue restricted and primarily affects pancreas and target organs of insulin namely skeletal muscle, adipose tissue and liver. This in turn leads to pancreatic beta cell loss and insulin resistance, respectively. During latter stages, the inflammation becomes more systemic and affects the blood vessels leading to vasculopathies. If small blood vessels are affected, it results in microvasculopathies. If larger blood vessels are affected it results to macrovasculopathies. While most viral and bacterial infections, can trigger chronic inflammation, helminth infections are unique in attenuating inflammation, by means of immunomodulation. Thus, a drastic decrease in helminth infections due to mass drug administration can fuel epidemic increase in metabolic diseases.
With respect to helminth infection, despite the central role played by lymphocytes and dendritic cells, the role played by macrophages in both pathology and protection cannot be undermined [20]. Helminth products are known to polarize macrophages into M2 phenotype which orchestrate fibrosis and wound healing [21]. Helminth infected macrophages are also termed as nematode-elicited macrophages that express a peculiar M2 phenotype [21]. The master cytokines involved in M2 polarization are IL-4 and IL-13. The macrophages which are polarized by helminth infection express YM1, YM2, Resistin-Like Molecule alpha (RELMα) and other markers of M2 phenotype and produce IL-10 [21]. Diet-induced obese mice treated with
S. No | Filarial antigen | Organism/species | Disease condition | Immune cells involved | Mechanisms | Outcome | Ref. |
---|---|---|---|---|---|---|---|
1 | C57BL/6 J DIO mice and C57BL/6 J DEREG mice | Diet induced obesity and glucose intolerance | Eosinophils, macrophages, innate lymphoid cells | Increased number of eosinophils, M2 macrophages, ILC-2 and Tregs in AT | Increased insulin sensitivity and glucose tolerance | [22] | |
2 | C57BL/6 J mice | Diet induced obesity and glucose intolerance | Macrophages | Increased M2 macrophages and increased expression of IL-13. | Reduced body weight and improved glucose metabolism | [23] | |
3 | BALB/c mice | STZ induced T1D | Antibodies | Increased IgE levels and sub-isotype switch of anti-insulin antibodies from IgG2a to IgG. | Improvement in glucose metabolism | [24] | |
4 | Filarial proteins rWbL2(recombinant | Female Balb/c mice | STZ induced T1D | Antibodies | Inhibition of TNF-α and IFN-γ secretion and augmentation of IL-4, IL-5 and IL-10 secretion.Production of insulin specific IgG1 and antigen-specific IgE antibodies | Improvement in glucose metabolism | [25] |
5 | rDiAg (Recombinant | NOD/shi female mice | Autoimmune T1D | Antibodies | Reduced level of anti insulin autoantibodies. Th1 to Th2 shify. Elevated IgE levels | Prevention of insulitis | [26] |
Effect of filarial antigen treatment on glucose metabolism and insulin sensitivity in Type-2 diabetic mice models.
While macrophages are major phagocytic cells, Dendritic cells (DCs) are the major antigen-presenting cells that play a crucial role in linking innate and adaptive immunity. DCs can interact with both T cells and B cells. Animal studies looking at the role of DCs in IR are limited. The CD11c+ myeloid DCs were significantly increased in the adipose tissue of obese mice [29]. This suggests that DCs might be involved in T cell polarization and activation of macrophages thereby playing an important role in adipose inflammation and IR [29]. In the adipose tissue of obese mice, there was a substantial increase in the percentage of DCs which was associated with crown-like structures [30]. Mice lacking DCs (Flt3−/−) had reduced number of adipose and liver macrophage content, whereas DC replacement in DC-null mice increased liver and adipose macrophage infiltration and IR [30]. Both myeloid DCs and plasmacytoid DCs from chronic diabetic patients show upregulation of lineage markers due to high levels of circulating GM-CSF [31].
In helminth infections, DCs are arrested in an immature state characterized by an absence/moderate expression of co-stimulatory molecules along with reduced pro-inflammatory cytokine secretion [32]. This feature might presumably induce the development of a Th2 immune response [33]. While Toll-Like Receptor-mediated activation brings about DC maturation in general, helminth products have evolved alternate pathways of activation which can induce an anti-inflammatory response [34]. Helminth antigen treated dendritic cells produced increased levels of IL-4 and IL-10 [35]. Also, human monocyte-derived dendritic cells (mhDCs) when infected with live
Neutrophils are microphages which are short-lived phagocytic cells that remove and destroy invading microorganisms and also cellular debris [38, 39]. In diet-induced obese mice, increased infiltration of neutrophil into adipose tissue was reported during weight gain and was associated with IR. In addition to host defence, neutrophil-derived serine proteases, such as neutrophil elastase, have been implicated in sterile inflammation [40]. Treatment of hepatocytes with neutrophil elastase-induced IR (by IRS-1 degradation) while deletion of neutrophil elastase in obese mice restored insulin sensitivity [40]. Taken together, neutrophils can be added to the extensive repertoire of immune cells that participate in inflammation-induced IR.
Compared to macrophages the role played by neutrophils in helminth infection is well studied [41]. In recent times, like macrophages, neutrophils were shown to get polarized either towards classically activated (N1) or alternatively activated (N2) phenotypes, following bacterial infections [42]. Whether such polarization takes place during helminth infections is not clearly known. Neutrophils were found to provide resistance to
Eosinophils are generally associated with allergic responses as seen in parasitic infections [46]. While IL-5 serves as the main growth factor for eosinophil development, eotaxins (CCL11, CLL24 and CCL26) serve as its major chemotactic factors [46]. Activation of eosinophils results in its degranulation on to the target cells [46]. They carry eosinophilic granules which are rich in cytotoxic cationic proteins including major basic protein (MBP), eosinophil peroxidase (EPO), eosinophilic cationic protein (ECP) and eosinophil-derived neurotoxin (EDN) [46]. Adipose tissue eosinophils are needed for metabolic homeostasis and are involved in the maintenance of alternatively activated macrophages (AAMs) (Figure 1) [47]. They serve as the major source of IL-4 which polarizes the macrophages into the M2 phenotype. Absence of eosinophils can lead to adiposity and systemic IR in obese mice [47]. In these animals, IL-5 deficiency leads to loss of eosinophil accumulation in the adipose and increased IR [48].
Clinically, helminth infections are the most common cause of persistent eosinophilia, wherein they play a vital role in parasitic killing and elimination [49]. Ligation of parasite-specific Ig to Fc receptors or direct binding of helminth products to TLRs leads to eosinophil activation and degranulation [49]. Activated eosinophils bring about worm expulsion in two ways: 1. Direct killing of the worm by depositing cytotoxic granules along with reactive oxygen species on to the worm membrane and 2. Expulsion/encystment of the dead worm, by coordinating with other immune and non-immune cells [49]. However, recent evidence has indicated eosinophil activation during helminths infection is an immune evasive strategy favouring the parasite [50]. Eosinophils may influence the immune response in a manner that would sustain chronic infection and ensure worm survival [50]. Recently, in a high-fat diet mice model, animals infected with
Basophils and mast cells are known for their involvement in allergies and airway inflammation [52]. Both cell lineages share a common ancestry: while basophils circulate; mast cells remain resident in tissues under normal conditions [52, 53]. As like other immune cells, recent studies have implicated them in glucose homeostasis and adipogenesis [54]. VAT from obese mice as well as humans contained a significant amount of mast cells [54]. Mast cell-deficient mice showed better glucose homeostasis with increased metabolic rate [55]. Leptin deficient Ob/Ob mice have an increased mast cell content in their adipose tissue and were found to secrete an increased amount of TNF-α [56].
Like eosinophils, basophils also serve in the first line of defence mechanism against helminth infection [57]. However recently, this concept has been challenged for certain helminth infections [58]. The cross-linking of surface IgE on basophils by helminth antigens induced IL-4 secretion [59]. Thus, the anti-inflammatory Th-2 response is augmented by basophils and mast cells [60]. During helminth infections, eosinophils, neutrophils and basophils directly participate in the parasite killing and expulsion [61]. Basophil deficient mice, infected with L3 larvae of
Natural killer (NK) cells are an important component of the innate immune response to viral infections and tumours [64]. They have the ability to provide an early source of both innate (IL-6 and TNF-α) and adaptive (IFN-γ, IL-4, IL-5 and IL-13) immune cytokines and can also lyse the target cells through perforin-granzyme-mediated cytolytic pathway [64]. Natural Killer T (NKT) cells are sub-population of lymphocytes that serve as a link between the innate and adaptive immunity [65]. They are a heterogeneous group of lymphocytes that share the properties of both T cells and NK cells. Many of these cells recognize self and foreign lipids and glycolipids bound to the non-polymorphic CD1d molecule [65]. Very little is known about the role played by NK and NKT cells in metabolic homeostasis [66]. VAT obtained from obese subjects was found to have an increased frequency of IFN-γ expressing NK cells [67]. The role of iNKT cells in the regulation of metabolism is just emerging. Previously, it was found that adipose tissues and liver of both mice and humans contain a population of iNKT cells, which decreased with increasing adiposity and IR (Figure 2) [68]. In fact, this coincides with the infiltration of macrophages and T cells into the adipose tissue.
Myeloid cell network in Insulin Resistance (IR) and immunomodulation. Helminth infections can bring about macrophage polarization from the pro-inflammatory M1 phenotype to anti-inflammatory M2 phenotype. They also polarize neutrophils from pro to anti-inflammatory phenotype. They augment both eosinophils and basophils which attenuate IR. They induce tolerogenic dendritic cells and myeloid derived suppressor cells which inhibit Th1 immunity.
Compared to other cell types, the role played by NK cells in helminth mediated immunomodulation is intriguing. NK cells were found to express IL-4 and IL-13 in response to microfilaremia but not L3 infection [69]. The early activation of NK cells led to apoptosis in response to live L3 exposure, but not to live microfilaremia infection [69]. Impairment of NK cell function had a profound effect on worm burden and delays the clearance of the parasite. Infection of BALB/c mice with
Myeloid-Derived Suppressor Cells (MDSCs) are heterogenous immature myeloid cells which were first discovered in the tumour stroma wherein they were found to suppress anti-tumour immune response [72]. Recently, MDSCs were shown to alleviate insulin resistance and confer protection against diabetes [73]. Adoptive transfer of MDSC cells into HFD mice showed better glucose tolerance [74]. Loss of these cells in obese animals aggravated IR [74]. Within the adipose tissue milieu, these cells were found to suppress Th1 activation [74]. During helminth infection, anti-proliferative MDSCs emerge which inhibit T cell proliferation using eicosanoids generated through 12/15 lipoxygenase pathway [75]. Similarly,
Nuocytes or Innate lymphoid cells (ILC) are recently discovered innate lymphoid cells capable of augmenting other immune cells like helper T cells [77]. ILCs are primarily tissue-resident lymphocytes, found in both lymphoid (immune-associated), and non-lymphoid tissues, and rarely in the peripheral blood (<1%) [77, 78]. They are particularly abundant at mucosal surfaces controlling mucosal immunity and homeostasis [77, 79]. They differ from other immune cells by the absence of regular lymphoid morphology, TCR and BCR rearranged, and expression of myeloid-specific CD markers [77]. Based on the difference in developmental pathways, phenotype, and cytokine secretion, in 2013, ILCs were divided into three groups: 1. ILC-1 cells upon priming with IL-12, IL-15 and IL-18 secrete IFN-γ and TNF-α; 2. ILC-2 cells upon priming with TSLP, IL-25 and IL-33 a secrete IL-4, IL-5 and IL-13; 3. ILC-3 cells upon priming with IL-1β, IL-23 and IL-6, secrete IL-17 and IL-22 [77]. ILC-1 recruitment into the adipose tissue is directly linked to fat accumulation and exacerbates IR [80], while ILC-2 cells are involved in browning of visceral adipose tissue [81]. During helminth infection, the early source of IL-13 was from nuocytes, through IL-25 and IL-33 dependant priming [82]. Administration of
The adaptive immune cells include T cells and B cells which play an important role in both IR and immunomodulation.
T cells are lymphocytes which mature from the thymus (and hence the name) and are the major components of the adaptive immune system [84]. They perform three major functions: 1. Helper T cells (Th) activate B cells, macrophages, DCs, other T cells and other immune cells, 2. Cytotoxic T cells (Tc) directly kill tumour cells and pathogen-infected cells and 3. Regulatory T cells (Tregs) maintain immune homeostasis [84]. The Th cells are distinguished by their CD4+ phenotype and are further classified based on their cytokine profile as 1.Th1 (IFN-γ, IL-2, and TNF-β), Th2 (IL-4, IL-5 and IL-13), 3. Th17 (IL-17 and IL-17F), 4.Th9 (IL-9 and IL-10), 5.Th22 (IL-22), etc. [84]. T cells in coordination with macrophages and DCs fuel VAT inflammation [85]. Both pro-inflammatory cytotoxic T cells (CTLs) and interferon-γ (IFN-γ)-producing Th-1 cells contribute to inflammation (Figure 2) [86]. On the contrary, VAT-resident Tregs and Th2 cells tend to suppress inflammation (Figure 2) [87]. Obese IFN-γ-knockout animals, compared with obese wild-type mice, showed modest improvements in insulin sensitivity, decreased adipocyte size, and an M2-macrophage phenotype and cytokine expression [88]. Genetic ablation of IL-13 in mice resulted in hyperglycemia, which progressed to hepatic IR and systemic metabolic dysfunction [89]. However, studies conducted in our lab on serum cytokine profiles in subjects with metabolic syndrome (MS) showed a mixed Th1-Th2 response with increased levels of IL-12, IFN-γ, IL-4, IL-5 and IL-13 in the serum of subjects with metabolic syndrome (a precondition of diabetes, if not already present) [90]. The role of recently discovered Th17 in VAT inflammation is still an enigma. Some studies have shown strong pro-inflammatory phenotype for these cells inducing IR [91], while our study showed a decline in serum IL-17 levels in subjects with MS (Figure 2) [92]. The Tregs in VAT has a unique function of maintaining immune-homeostasis and improving insulin signalling by PPAR-g activation [93]. The role of other recently identified Th cell subtypes like Th22 and Th9 in IR is not clearly known. In general, type-2 diabetic subjects show a mixed Th1-Th2 response which becomes more Th1 polarized as the diabetic subjects develop microvascular [94] and macrovascular complications [95]. Serum IL-17 levels are generally low in patients with diabetic nephropathy [96].
T cell-mediated immune responses during filarial infection depend on the phase of the infection: 1.The acute phase is skewed towards Th2 (IL-4, IL-5 and IL-13) response, 2. The chronic phase is skewed towards “modified Th2 response”, with Tregs playing a more prominent compared to Th2 cells and 3. The third phase is chronic pathology phase, which is characterized by a drastic shift from “modified Th2” response to Th1/Th17 (IFN-γ, IL-2 and IL-17) response, which happens only in those who develop lymphatic pathology [97]. Thus, the differential immune response seen during various phases of the filarial infection is paralleled by the life cycle of the parasite: 1. Microfilaremic stage-predominant Th2 response, 2. Adult worm stage- modified Th2-Treg response and 3.Chronic pathology stage- Th1/Th17 response [97]. Infection of HFD induced obese mice with
Cytotoxic (CD8+) T cells are one of the effector cells in T-cell mediated immunity which directly kills the target cells (virus or bacteria-infected cells and tumour cells). CD8+ T cells were found to migrate into the adipose tissue much before the accumulation of macrophage in obese mice [99]. IFN-γ produced by CTLs promotes the recruitment and polarization of M1 macrophages (Figure 1) [99]. This results in adipose tissue inflammation and IR [99]. In the obese mice, increased infiltration of CTLs into the adipose tissue around 22nd week after the initiation of a high-fat diet was seen [99]. Antibody-mediated or genetic depletion of CTLs lowered macrophage infiltration and adipose inflammation, ameliorating IR [99].
When compared to T-helper cells, the amount of literature available on the role of CTLs in helminth infection is limited. Atleast in mice, there is evidence to show that CTL population is dispensable for anti-helminth immunity [100]. In clinical studies, LF infection was shown to upregulate HLA-A thereby activating CTLs [101]. However, these activated CTLs showed poor proliferative response under
Lymphoid cell network in Insulin Resistance (IR) and immunomodulation. Helminth infections can bring about T cell polarization from the pro-inflammatory Th1 and Th17 phenotype to anti-inflammatory Th2 phenotype. They also induce proinflammatory ILC-1 and -3 and induce anti-inflammatory ILC-2 cells. They augment both Tregs and iNKT cells which attenuate IR. They inhibit pro-inflammatory CTLs and NK cells.
B cells form a major component of adaptive immunity and perform two vital functions namely: 1. Antigen presentation to T cells which links innate and adaptive arms of the immune response and 2. Production of antibodies which perform the effector functions. In obese mice, B cells were found to migrate into the adipose tissue shortly after the initiation of a high-fat diet [102]. The initial signal for B cell activation is provided by the stressed adipocytes by releasing the self-antigens [102]. The activated B cells then induce the activation of pro-inflammatory macrophages and T cells and the production of auto-antibodies [102]. Correspondingly, increased IgG production (predominantly of IgG2c subtype) and increased IgG+ B cells were seen in the VAT of obese mice [102, 103]. B cell null mice showed reduced immune cell activation and IR in VAT and transfer of IgG antibodies from obese wild type mice to B cell null obese mice worsened glucose tolerance [102]. The IgG antibodies, apart from promoting B cell-mediated adipose inflammation, can also bind to Fc receptors present on macrophages, NK cells, neutrophils and eosinophils, and can bring about cellular activation augmenting inflammation [102, 104]. However, recently ZnT8 specific naturally occurring autoantibodies were found to be significantly reduced in type-2 diabetes, indicating a beneficial effect for these antibodies in reducing IR [26].
The function of B cells in helminth infection is largely restricted to the protective Th2 response [97]. IL-4 mediated activation, class switching and affinity maturation of B cells are responsible for the elevated levels of IgE antibodies in infected individuals [97]. In streptozotocin-induced diabetic mice, treatment with
A decrease in helminth infections (like lymphatic filariasis) could potentially account for the increased prevalence of metabolic diseases in the western world. The same immunomodulatory effect can have an impact on type-2 diabetes, as was seen in tropical countries. Recently, several helminth antigens were shown to confer significant protection against obesity, insulin resistance and diabetes, in animal models. The implications of helminth induced immunomodulation are thus twofold: Mass drug administration in populations which are highly susceptible to type-2 diabetes has to be carried out with care; Secondly, more research is needed in identifying and characterizing novel helminth antigens with a strong immunomodulatory effect which can later be developed into diabetes vaccines.
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Shohel"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},subject:{topic:{id:"82",title:"Biochemistry",slug:"chemistry-biochemistry",parent:{id:"8",title:"Chemistry",slug:"chemistry"},numberOfBooks:4,numberOfSeries:0,numberOfAuthorsAndEditors:133,numberOfWosCitations:174,numberOfCrossrefCitations:88,numberOfDimensionsCitations:258,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"82",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"7238",title:"Fuel Ethanol Production from Sugarcane",subtitle:null,isOpenForSubmission:!1,hash:"f3b4eb4ac5837543b99bd6e1a1a4cacc",slug:"fuel-ethanol-production-from-sugarcane",bookSignature:"Thalita Peixoto Basso and Luiz Carlos Basso",coverURL:"https://cdn.intechopen.com/books/images_new/7238.jpg",editedByType:"Edited by",editors:[{id:"139174",title:"Ph.D.",name:"Thalita",middleName:null,surname:"Peixoto Basso",slug:"thalita-peixoto-basso",fullName:"Thalita Peixoto Basso"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7006",title:"Biochemistry and Health Benefits of Fatty Acids",subtitle:null,isOpenForSubmission:!1,hash:"c93a00abd68b5eba67e5e719f67fd20b",slug:"biochemistry-and-health-benefits-of-fatty-acids",bookSignature:"Viduranga Waisundara",coverURL:"https://cdn.intechopen.com/books/images_new/7006.jpg",editedByType:"Edited by",editors:[{id:"194281",title:"Dr.",name:"Viduranga Y.",middleName:null,surname:"Waisundara",slug:"viduranga-y.-waisundara",fullName:"Viduranga Y. Waisundara"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5283",title:"Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences",subtitle:null,isOpenForSubmission:!1,hash:"5d879e015ea226a3cf4633c0a187c830",slug:"applications-of-molecular-spectroscopy-to-current-research-in-the-chemical-and-biological-sciences",bookSignature:"Mark T. Stauffer",coverURL:"https://cdn.intechopen.com/books/images_new/5283.jpg",editedByType:"Edited by",editors:[{id:"97565",title:"Dr.",name:"Mark",middleName:"Thomas",surname:"Stauffer",slug:"mark-stauffer",fullName:"Mark Stauffer"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3586",title:"Agricultural Chemistry",subtitle:null,isOpenForSubmission:!1,hash:"a05731d42f4d1009e8a0f51e0f483081",slug:"agricultural-chemistry",bookSignature:"Margarita Stoytcheva and Roumen Zlatev",coverURL:"https://cdn.intechopen.com/books/images_new/3586.jpg",editedByType:"Edited by",editors:[{id:"6375",title:"Prof.",name:"Margarita",middleName:null,surname:"Stoytcheva",slug:"margarita-stoytcheva",fullName:"Margarita Stoytcheva"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:4,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"52212",doi:"10.5772/64477",title:"Fourier Transform Infrared and Raman Characterization of Silica-Based Materials",slug:"fourier-transform-infrared-and-raman-characterization-of-silica-based-materials",totalDownloads:3384,totalCrossrefCites:12,totalDimensionsCites:29,abstract:"Fourier Transform Infrared and Raman are powerful techniques to evaluate silica and hybrid silica structure. It is possible to evaluate the silica network formation along the hydrolysis and condensation reactions in terms of siloxane rings formation and Si–O(–Si) angle deformation due to the introduction of organic groups, the employed synthetic route or encapsulated species interaction. The siloxane four- or six-membered rings imply in a more rigid or flexible network, respectively, in order to accommodate the organic groups. A structural analysis of the materials is of high importance, since interactions between the encapsulated molecules and the matrix are critical for the device performance, such as sensors. This type of device needs the permeation of an analyte to activate the encapsulated receptor molecules inside the silica structure. Fourier transform infrared spectrometry can be also used to determine parameters of the silica network as a function of the hydrophilicity/hydrophobicity degree and the siloxane ring structure with respect to thin film porosity. This silica structural analysis is reviewed along the text in a tentative of better exploring the data resulting from these powerful techniques. In addition, the functionalization of silica structures by the use of organoalkoxysilanes, which is important to the creation of high-specific materials, can be well described by these two complementary techniques. The Si–C bonds and the maintenance of the organic substituents such as methyl, octyl, octadecyl, vinyl, phenyl, aminopropyl, mercaptopropyl, isocyanatopropyl, iodopropyl, chloropropyl and glicydoxypropyl could be evaluated after the sol-gel synthesis process. The literature regarding silica vibrational spectroscopy is also explored creating a data bank of wave numbers for the most important bonds for different types of silica and hybrid silica materials obtained by different synthetic routes.",book:{id:"5283",slug:"applications-of-molecular-spectroscopy-to-current-research-in-the-chemical-and-biological-sciences",title:"Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences",fullTitle:"Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences"},signatures:"Larissa Brentano Capeletti and João Henrique Zimnoch",authors:[{id:"178200",title:"Prof.",name:"Joao Henrique",middleName:null,surname:"Zimnoch Dos Santos",slug:"joao-henrique-zimnoch-dos-santos",fullName:"Joao Henrique Zimnoch Dos Santos"},{id:"186947",title:"Dr.",name:"Larissa",middleName:null,surname:"Brentano Capeletti",slug:"larissa-brentano-capeletti",fullName:"Larissa Brentano Capeletti"}]},{id:"63324",doi:"10.5772/intechopen.80430",title:"Fatty Acids: From Membrane Ingredients to Signaling Molecules",slug:"fatty-acids-from-membrane-ingredients-to-signaling-molecules",totalDownloads:1605,totalCrossrefCites:8,totalDimensionsCites:18,abstract:"Fatty acid constitutes the foundation cell membranes, provides metabolic energy, affects functions of membrane-bound enzymes/receptors, conducts signaling cascades, and helps in learning-related memory cognition in mammals, including humans. Structurally, the fatty acids are of two kinds: saturated and unsaturated; the latter are again of mono- and polyunsaturated types. From nutritional perspectives, they are of essential and nonessential types. Omega-6 linoleic acid (ω-6 LLA, C18:2) and ω-3 alpha linolenic acid (ω-3 αLLN, C18:3) and ω-6 arachidonic acid [(ω-6 AA, C20:4); it is conditional] are essential fatty acids (EFAs). In addition, mammalian brains cannot biosynthesize the ω-3 docosahexaenoic acid (ω-3 DHA, C22:6) in adequate amounts because of lack of necessary enzymes. Thus, DHA is essential for the growth and development of the brains. Deficiency of DHA produces visual- and learning-related memory impairments, and neurodegeneration in the aged brains and Alzheimer’s disease brains. Finally, this chapter will highlight and broaden the awareness about the essentiality of different fatty acids with a special emphasis on DHA.",book:{id:"7006",slug:"biochemistry-and-health-benefits-of-fatty-acids",title:"Biochemistry and Health Benefits of Fatty Acids",fullTitle:"Biochemistry and Health Benefits of Fatty Acids"},signatures:"Michio Hashimoto and Shahdat Hossain",authors:[{id:"260006",title:"Prof.",name:"Shahdat",middleName:null,surname:"Hossain",slug:"shahdat-hossain",fullName:"Shahdat Hossain"},{id:"260206",title:"Prof.",name:"Michio",middleName:null,surname:"Hashimoto",slug:"michio-hashimoto",fullName:"Michio Hashimoto"}]},{id:"43080",doi:"10.5772/55287",title:"Grain Yield Determination and Resource Use Efficiency in Maize Hybrids Released in Different Decades",slug:"grain-yield-determination-and-resource-use-efficiency-in-maize-hybrids-released-in-different-decades",totalDownloads:4849,totalCrossrefCites:4,totalDimensionsCites:15,abstract:null,book:{id:"3586",slug:"agricultural-chemistry",title:"Agricultural Chemistry",fullTitle:"Agricultural Chemistry"},signatures:"Laura Echarte, Lujan Nagore, Javier Di Matteo, Matías Cambareri, Mariana Robles and Aída Della Maggiora",authors:[{id:"164811",title:"Dr.",name:"Laura",middleName:null,surname:"Echarte",slug:"laura-echarte",fullName:"Laura Echarte"},{id:"165595",title:"Dr.",name:"Maria",middleName:"Lujan",surname:"Nagore",slug:"maria-nagore",fullName:"Maria Nagore"},{id:"165596",title:"BSc.",name:"Javier",middleName:null,surname:"Di Matteo",slug:"javier-di-matteo",fullName:"Javier Di Matteo"},{id:"165598",title:"BSc.",name:"Mariana",middleName:null,surname:"Robles",slug:"mariana-robles",fullName:"Mariana Robles"},{id:"165599",title:"MSc.",name:"Aída",middleName:null,surname:"Della Maggiora",slug:"aida-della-maggiora",fullName:"Aída Della Maggiora"},{id:"167765",title:"Dr.",name:"Matias",middleName:null,surname:"Cambareri",slug:"matias-cambareri",fullName:"Matias Cambareri"}]},{id:"51767",doi:"10.5772/64581",title:"Applications of Molecular Spectroscopic Methods to the Elucidation of Lignin Structure",slug:"applications-of-molecular-spectroscopic-methods-to-the-elucidation-of-lignin-structure",totalDownloads:2922,totalCrossrefCites:3,totalDimensionsCites:14,abstract:"Lignin in plant cell wall is a complex amorphous polymer and is biosynthesized mainly from three aromatic alcohols, namely, p-coumaryl, coniferyl, and sinapyl alcohols. This biosynthesis process consists of mainly radical coupling reactions and creates a unique lignin polymer in each plant species. Generally, lignin mainly consists of p-hydroxyphenyl (H), guaiacyl (G), and syringyl (S) units and is linked by several types of carbon-carbon (β-β, β-5, β-1, and 5–5) and ether bonds. Due to the structural complexity, various molecular spectroscopic methods have been applied to unravel the aromatic units and different interunit linkages in lignin from different plant species. This chapter is focused on the application of ultraviolet (UV) spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, Fourier transform Raman (FT-Raman) spectroscopy, fluorescence spectroscopy, and nuclear magnetic resonance (NMR) spectroscopy to lignin structural elucidation.",book:{id:"5283",slug:"applications-of-molecular-spectroscopy-to-current-research-in-the-chemical-and-biological-sciences",title:"Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences",fullTitle:"Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences"},signatures:"Tingting You and Feng Xu",authors:[{id:"174103",title:"Prof.",name:"Feng",middleName:null,surname:"Xu",slug:"feng-xu",fullName:"Feng Xu"},{id:"182550",title:"Dr.",name:"Tingting",middleName:null,surname:"You",slug:"tingting-you",fullName:"Tingting You"}]},{id:"43053",doi:"10.5772/55416",title:"In vitro Antioxidant Analysis and the DNA Damage Protective Activity of Leaf Extract of the Excoecaria agallocha Linn Mangrove Plant",slug:"in-vitro-antioxidant-analysis-and-the-dna-damage-protective-activity-of-leaf-extract-of-the-excoecar",totalDownloads:3344,totalCrossrefCites:1,totalDimensionsCites:12,abstract:null,book:{id:"3586",slug:"agricultural-chemistry",title:"Agricultural Chemistry",fullTitle:"Agricultural Chemistry"},signatures:"C. Asha Poorna, M.S. Resmi and E.V. Soniya",authors:[{id:"148913",title:"Dr.",name:"Soniya",middleName:null,surname:"E V",slug:"soniya-e-v",fullName:"Soniya E V"}]}],mostDownloadedChaptersLast30Days:[{id:"51767",title:"Applications of Molecular Spectroscopic Methods to the Elucidation of Lignin Structure",slug:"applications-of-molecular-spectroscopic-methods-to-the-elucidation-of-lignin-structure",totalDownloads:2922,totalCrossrefCites:3,totalDimensionsCites:14,abstract:"Lignin in plant cell wall is a complex amorphous polymer and is biosynthesized mainly from three aromatic alcohols, namely, p-coumaryl, coniferyl, and sinapyl alcohols. This biosynthesis process consists of mainly radical coupling reactions and creates a unique lignin polymer in each plant species. Generally, lignin mainly consists of p-hydroxyphenyl (H), guaiacyl (G), and syringyl (S) units and is linked by several types of carbon-carbon (β-β, β-5, β-1, and 5–5) and ether bonds. Due to the structural complexity, various molecular spectroscopic methods have been applied to unravel the aromatic units and different interunit linkages in lignin from different plant species. This chapter is focused on the application of ultraviolet (UV) spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, Fourier transform Raman (FT-Raman) spectroscopy, fluorescence spectroscopy, and nuclear magnetic resonance (NMR) spectroscopy to lignin structural elucidation.",book:{id:"5283",slug:"applications-of-molecular-spectroscopy-to-current-research-in-the-chemical-and-biological-sciences",title:"Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences",fullTitle:"Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences"},signatures:"Tingting You and Feng Xu",authors:[{id:"174103",title:"Prof.",name:"Feng",middleName:null,surname:"Xu",slug:"feng-xu",fullName:"Feng Xu"},{id:"182550",title:"Dr.",name:"Tingting",middleName:null,surname:"You",slug:"tingting-you",fullName:"Tingting You"}]},{id:"62041",title:"Assessment of Sugarcane-Based Ethanol Production",slug:"assessment-of-sugarcane-based-ethanol-production",totalDownloads:2218,totalCrossrefCites:3,totalDimensionsCites:12,abstract:"This chapter aims to explain how bio-ethanol has been drawn to become a successful alternative to partially replace petroleum as a source of liquid fuels in Brazil. A brief historical analysis about the production of bio-ethanol from sugarcane is presented. The motivation to start the production of the ethanol as biofuel in the 1970s and how the governmental policies have contributed to the ups and downs, successes, and failures of the sugarcane industry is shown. Then, the efficiency of the sector is addressed; firstly, the increasing efficiency of the agricultural sector is discussed, showing how the productivity per hectare has increased in the last decades and which improvements are further expected in a near future. Finally, the industrial process is discussed: the current efficiency in processing sugarcane to produce ethanol and the emerging technologies, not only to process sugarcane juice, but also to harness bagasse, vinasse, and sugarcane straw.",book:{id:"7238",slug:"fuel-ethanol-production-from-sugarcane",title:"Fuel Ethanol Production from Sugarcane",fullTitle:"Fuel Ethanol Production from Sugarcane"},signatures:"Rubens Eliseu Nicula de Castro, Rita Maria de Brito Alves,\nCláudio Augusto Oller do Nascimento and Reinaldo Giudici",authors:[{id:"50350",title:"Prof.",name:"Claudio",middleName:null,surname:"Oller Do Nascimento",slug:"claudio-oller-do-nascimento",fullName:"Claudio Oller Do Nascimento"},{id:"98033",title:"Dr.",name:"Rita Maria",middleName:null,surname:"De Brito Alves",slug:"rita-maria-de-brito-alves",fullName:"Rita Maria De Brito Alves"},{id:"248441",title:"BSc.",name:"Rubens E",middleName:null,surname:"N De Castro",slug:"rubens-e-n-de-castro",fullName:"Rubens E N De Castro"},{id:"248442",title:"Prof.",name:"Reinaldo",middleName:null,surname:"Giudici",slug:"reinaldo-giudici",fullName:"Reinaldo Giudici"}]},{id:"52212",title:"Fourier Transform Infrared and Raman Characterization of Silica-Based Materials",slug:"fourier-transform-infrared-and-raman-characterization-of-silica-based-materials",totalDownloads:3384,totalCrossrefCites:12,totalDimensionsCites:29,abstract:"Fourier Transform Infrared and Raman are powerful techniques to evaluate silica and hybrid silica structure. It is possible to evaluate the silica network formation along the hydrolysis and condensation reactions in terms of siloxane rings formation and Si–O(–Si) angle deformation due to the introduction of organic groups, the employed synthetic route or encapsulated species interaction. The siloxane four- or six-membered rings imply in a more rigid or flexible network, respectively, in order to accommodate the organic groups. A structural analysis of the materials is of high importance, since interactions between the encapsulated molecules and the matrix are critical for the device performance, such as sensors. This type of device needs the permeation of an analyte to activate the encapsulated receptor molecules inside the silica structure. Fourier transform infrared spectrometry can be also used to determine parameters of the silica network as a function of the hydrophilicity/hydrophobicity degree and the siloxane ring structure with respect to thin film porosity. This silica structural analysis is reviewed along the text in a tentative of better exploring the data resulting from these powerful techniques. In addition, the functionalization of silica structures by the use of organoalkoxysilanes, which is important to the creation of high-specific materials, can be well described by these two complementary techniques. The Si–C bonds and the maintenance of the organic substituents such as methyl, octyl, octadecyl, vinyl, phenyl, aminopropyl, mercaptopropyl, isocyanatopropyl, iodopropyl, chloropropyl and glicydoxypropyl could be evaluated after the sol-gel synthesis process. The literature regarding silica vibrational spectroscopy is also explored creating a data bank of wave numbers for the most important bonds for different types of silica and hybrid silica materials obtained by different synthetic routes.",book:{id:"5283",slug:"applications-of-molecular-spectroscopy-to-current-research-in-the-chemical-and-biological-sciences",title:"Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences",fullTitle:"Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences"},signatures:"Larissa Brentano Capeletti and João Henrique Zimnoch",authors:[{id:"178200",title:"Prof.",name:"Joao Henrique",middleName:null,surname:"Zimnoch Dos Santos",slug:"joao-henrique-zimnoch-dos-santos",fullName:"Joao Henrique Zimnoch Dos Santos"},{id:"186947",title:"Dr.",name:"Larissa",middleName:null,surname:"Brentano Capeletti",slug:"larissa-brentano-capeletti",fullName:"Larissa Brentano Capeletti"}]},{id:"63324",title:"Fatty Acids: From Membrane Ingredients to Signaling Molecules",slug:"fatty-acids-from-membrane-ingredients-to-signaling-molecules",totalDownloads:1605,totalCrossrefCites:8,totalDimensionsCites:18,abstract:"Fatty acid constitutes the foundation cell membranes, provides metabolic energy, affects functions of membrane-bound enzymes/receptors, conducts signaling cascades, and helps in learning-related memory cognition in mammals, including humans. Structurally, the fatty acids are of two kinds: saturated and unsaturated; the latter are again of mono- and polyunsaturated types. From nutritional perspectives, they are of essential and nonessential types. Omega-6 linoleic acid (ω-6 LLA, C18:2) and ω-3 alpha linolenic acid (ω-3 αLLN, C18:3) and ω-6 arachidonic acid [(ω-6 AA, C20:4); it is conditional] are essential fatty acids (EFAs). In addition, mammalian brains cannot biosynthesize the ω-3 docosahexaenoic acid (ω-3 DHA, C22:6) in adequate amounts because of lack of necessary enzymes. Thus, DHA is essential for the growth and development of the brains. Deficiency of DHA produces visual- and learning-related memory impairments, and neurodegeneration in the aged brains and Alzheimer’s disease brains. Finally, this chapter will highlight and broaden the awareness about the essentiality of different fatty acids with a special emphasis on DHA.",book:{id:"7006",slug:"biochemistry-and-health-benefits-of-fatty-acids",title:"Biochemistry and Health Benefits of Fatty Acids",fullTitle:"Biochemistry and Health Benefits of Fatty Acids"},signatures:"Michio Hashimoto and Shahdat Hossain",authors:[{id:"260006",title:"Prof.",name:"Shahdat",middleName:null,surname:"Hossain",slug:"shahdat-hossain",fullName:"Shahdat Hossain"},{id:"260206",title:"Prof.",name:"Michio",middleName:null,surname:"Hashimoto",slug:"michio-hashimoto",fullName:"Michio Hashimoto"}]},{id:"63553",title:"Cyclic Fatty Acids in Food: An Under-Investigated Class of Fatty Acids",slug:"cyclic-fatty-acids-in-food-an-under-investigated-class-of-fatty-acids",totalDownloads:1330,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"Cyclic fatty acids are an unusual class of minor fatty acids generally produced by bacteria and less frequently by plants. Among plants, the most known cyclic fatty acid is sterculic acid (9, 10-methyleneoctadecenoic acid) produced by Sterculia foetida. Bacteria (e.g., lactic acid bacteria) synthetize cyclopropane fatty acids, such as dihydrosterculic acid (9, 10-methylene octadecanoic acid) and lactobacillic acid (11, 12 methylene octadecanoic acid), to strength their membrane, improving their resistance to environmental stress. Another class of cyclic fatty acids is omega-cyclohexyl fatty acids, present in milk and probably produced by rumen bacteria. Cyclopropane and omega-cyclohexyl fatty acids have been recently found in bovine meat and dairy products, representing important foodstuffs in human diet. In this chapter, a review of literature data concerning the presence of cyclic fatty acids in foods, their metabolism in humans, and their potential bioactivity will be provided. 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MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. 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:null},{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:"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:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{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:null},{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. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. 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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