More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
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Our breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
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“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
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Additionally, each book published by IntechOpen contains original content and research findings.
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We are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
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Simba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
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IntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
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Since the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\n
More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\n
Our breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n
“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\n
Additionally, each book published by IntechOpen contains original content and research findings.
\n\n
We are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
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\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:"8447",leadTitle:null,fullTitle:"Density Functional Theory Calculations",title:"Density Functional Theory Calculations",subtitle:null,reviewType:"peer-reviewed",abstract:"This book is a contribution to the fast and broad Density Functional Theory (DFT) applications of the last few years. Since 2000, the DFT has grown exponentially in several computational areas because of its versatility and reliability to calculate energy from electronic density. The fast DFT’s calculations show how scientists develop more codes focused to simulate molecular and material properties reaching better conclusions than with previous theories. More powerful computers and lower computational costs have certainly assisted the increased growth of interest in this theory. Each chapter presents a specific subject contributing to a vision of the great potential of the quantum/DFT simulations in high pressure, chemical reactivity, ionic liquid, chemoinformatic, molecular docking, and non-equilibrium state.",isbn:"978-1-83881-083-2",printIsbn:"978-1-83881-082-5",pdfIsbn:"978-1-83881-084-9",doi:"10.5772/intechopen.78820",price:119,priceEur:129,priceUsd:155,slug:"density-functional-theory-calculations",numberOfPages:118,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"430664e87463d090a0f03b1f096a7d9d",bookSignature:"Sergio Ricardo De Lazaro, Luis Henrique Da Silveira Lacerda and Renan Augusto Pontes Ribeiro",publishedDate:"February 3rd 2021",coverURL:"https://cdn.intechopen.com/books/images_new/8447.jpg",numberOfDownloads:2923,numberOfWosCitations:1,numberOfCrossrefCitations:5,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:16,numberOfDimensionsCitationsByBook:0,hasAltmetrics:1,numberOfTotalCitations:22,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"June 10th 2019",dateEndSecondStepPublish:"December 30th 2019",dateEndThirdStepPublish:"February 28th 2020",dateEndFourthStepPublish:"May 18th 2020",dateEndFifthStepPublish:"July 17th 2020",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"176017",title:"Prof.",name:"Sergio Ricardo De",middleName:null,surname:"Lazaro",slug:"sergio-ricardo-de-lazaro",fullName:"Sergio Ricardo De Lazaro",profilePictureURL:"https://mts.intechopen.com/storage/users/176017/images/system/176017.png",biography:"Prof. Sergio Ricardo de Lazaro is married, and he has two daughters living in Ponta Grossa, Paraná. Currently, he is a Full Professor in the Department of Chemistry of the State University of Ponta Grossa (UEPG). He has his Ph.D. degree in Chemistry and has published manuscripts with researchers from other countries. His development of studies in Material Chemistry or Molecules applies the Density Functional Theory (DFT). In scientific journals, his recognized documents internationally contribute to environmental, energy, and potential drugs from photocatalysis, charge transfer, and molecular reactivity. His research interests include theoretical analysis of the structural, electronic, magnetic, and morphological properties proposed paths to clarify chemical mechanisms associated with massive problems. He acts as a reviewer of manuscripts in international scientific journals.",institutionString:"Ponta Grossa State University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Ponta Grossa State University",institutionURL:null,country:{name:"Brazil"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"176359",title:"Dr.",name:"Luis Henrique Da Silveira",middleName:null,surname:"Lacerda",slug:"luis-henrique-da-silveira-lacerda",fullName:"Luis Henrique Da Silveira Lacerda",profilePictureURL:"https://mts.intechopen.com/storage/users/176359/images/system/176359.jfif",biography:"Dr. Luis Henrique da Silveira Lacerda is married and lives in Campinas, São Paulo. He completed his Chemistry Ph.D. at the State University of Ponta Grossa (Brazil). Currently, he is a postdoctoral researcher at the State University of Campinas (Brazil). Over the last years, Dr. Luis Henrique da Silveira Lacerda published several works offering exciting insights on materials properties and a new understanding of some materials features at the molecular level. His research experience includes DFT investigations of multiferroic materials, crystalline structure, phase transition, excited states, heterostructures, morphology, and advanced materials properties such as magnetic, ferroelectric, elastic, electronic, photocatalytic, thermoelectric, optical, magneto-optical, and others. His current research interests include DFT investigation of photocatalytic, chemical reactivity, and properties morphological dependence.",institutionString:"State University of Campinas, Institute of Chemistry, Campinas",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Ponta Grossa State University",institutionURL:null,country:{name:"Brazil"}}},coeditorTwo:{id:"176358",title:"MSc.",name:"Renan Augusto Pontes",middleName:null,surname:"Ribeiro",slug:"renan-augusto-pontes-ribeiro",fullName:"Renan Augusto Pontes Ribeiro",profilePictureURL:"https://mts.intechopen.com/storage/users/176358/images/system/176358.png",biography:"Prof. Dr. Renan Augusto Pontes Ribeiro is married and lives in Divinópolis, Minas Gerais. Nowadays, he is a Professor in the Department of Chemistry and Physics of the State University of Minas Gerais (UEMG). With a Bachelor\\'s, Master\\'s, and Ph.D. degree in Chemistry, Prof. Renan Ribeiro is a computational materials scientist with recognized publications through collaboration with research centers in other countries. He has experience with the application of Density Functional Theory (DFT) on the design of multifunctional materials in silico, contributing to fields like environmental, energy, photocatalysis, charge transfer, magnetism, and molecular reactivity.",institutionString:"State University of Minas Gerais, Department of Chemistry, Divinópolis",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Federal University of São Carlos",institutionURL:null,country:{name:"Brazil"}}},coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1169",title:"Condensed Matter Physics",slug:"nanotechnology-and-nanomaterials-material-science-condensed-matter-physics"}],chapters:[{id:"74273",title:"Introductory Chapter: A Brief Mention for High-Pressure in Oxides from DFT Simulations",doi:"10.5772/intechopen.94916",slug:"introductory-chapter-a-brief-mention-for-high-pressure-in-oxides-from-dft-simulations",totalDownloads:276,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Sérgio Ricardo de Lázaro",downloadPdfUrl:"/chapter/pdf-download/74273",previewPdfUrl:"/chapter/pdf-preview/74273",authors:[{id:"176017",title:"Prof.",name:"Sergio Ricardo De",surname:"Lazaro",slug:"sergio-ricardo-de-lazaro",fullName:"Sergio Ricardo De Lazaro"}],corrections:null},{id:"71415",title:"Quantum Computational Chemistry: Modeling and Calculation of S-Block Metal Ion Complexes",doi:"10.5772/intechopen.90531",slug:"quantum-computational-chemistry-modeling-and-calculation-of-s-block-metal-ion-complexes",totalDownloads:614,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The computational study of some s-block metal nitrophenolate complexes, [Ca(THEEN)(PIC)]+ (1), [Ca(THPEN)(H2O)2]2+ (2), Ba(THPEN)(PIC)2 (3) [Na(THPEN)]22+ (4), [Sr(THPEN)(H2O)2]22+ (5) and [Ba(THPEN)(H2O)2]22+ (6) (where THEEN (N,N,N′,N′-Tetrakis(2-hydroxyethyl)ethylenediamine) and THPEN (N,N,N′,N′-Tetrakis(2-hydroxypropyl)ethylenediamine) are tetrapodal ligands and PIC− is 2,4,6-trinitrophenolate anion), is presented here using density functional theory (DFT) in its hybrid form B3LYP. The geometries of the title complexes are described by the quantum-chemical approach using input coordinates obtained from the previously synthesized and X-ray characterized diffraction data of [Ca(THEEN)(PIC)](PIC), [Ca(THPEN)(H2O)2](PIC)2, Ba(THPEN)(PIC)2, [Na(THPEN)]2(PIC)2, [Sr(THPEN)(H2O)2]2(DNP)4 and [Ba(THPEN)(H2O)2]2(DNP)4 (where DNP is 3,5-dinitrophenolate). Only the primary coordination sphere of complexes (1–6) is optimized in the gaseous phase. Calculations of the energy gaps of frontier orbitals (HOMO-LUMO), 13C-NMR shifts and vibrational bands are carried out using B3LYP/6-31 g + (d,p)/LANL2DZ level of theory. The calculated geometric and spectral parameters reproduced the experimental data with a well agreement.",signatures:"Rakesh Kumar and Sangeeta Obrai",downloadPdfUrl:"/chapter/pdf-download/71415",previewPdfUrl:"/chapter/pdf-preview/71415",authors:[{id:"311930",title:"Dr.",name:"Rakesh",surname:"Kumar",slug:"rakesh-kumar",fullName:"Rakesh Kumar"},{id:"311931",title:"Dr.",name:"Sangeeta",surname:"Obrai",slug:"sangeeta-obrai",fullName:"Sangeeta Obrai"}],corrections:null},{id:"72549",title:"Theoretical Study of the Structure and Property of Ionic Liquids as Corrosion Inhibitor",doi:"10.5772/intechopen.92768",slug:"theoretical-study-of-the-structure-and-property-of-ionic-liquids-as-corrosion-inhibitor",totalDownloads:610,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Three sets of ionic liquids such as 1-alkyl-3-methylimidazole chloride [Cnmim]Cl, 1-alkyl-3-methylimidazolium acetate [Cnmim]Ac and 1-octyl-3-methylimidazole salt [Omim]Y (n = 2, 4, 6, 8, and Y = Cl, BF4, HSO4, Ac and TFO) were used as corrosion inhibitor medium for corrosion protection of carbon steel. Electronic structures and reactivity of these ionic liquids, surface energy and electronic structures of the iron surface were systematically analyzed by density functional theory. By increasing the alkyl chain length of the [Cnmim]Cl and [Cnmim]Ac systems, the lowest unoccupied molecular orbital energy (ELUMO), the highest occupied molecular orbital energy (EHOMO), the softness (S) and polarizability (α) increased gradually, whereas electronegativity (χ), energy gap (ΔE), hardness (η), dipole moment (μ)and electrophilic index (ω) gradually decreased. For the [Omim]Y system, the structure parameters of ionic liquids are quite different, and only the polarizability (α) decreases gradually by increasing the length of the alkyl chain. The results show that inhibition is mainly [Cnmim]+ cations of the [Cnmim]Cl system, and the order of inhibition efficiency follows as [C2mim]Cl < [C4mim]Cl < [C6mim]Cl < [C8mim]Cl. Both [Cnmim]+ cations and the Ac− anion have inhibition effect for the [Xmim]Ac system, and the order of inhibition efficiency is [C8mim]Ac > [C6mim]Ac > [C4mim]Ac > [C2mim]Ac. For the [Omim]Y system, [Xmim]+ cations and anions (BF4−, HSO4−, Ac−, TfO−) have inhibition effect, and the order of inhibition efficiency is [Omim]TfO > [Omim]Ac > [Omim]HSO4 > [Omim]BF4 > [Omim]Cl.",signatures:"Guocai Tian and Weizhong Zhou",downloadPdfUrl:"/chapter/pdf-download/72549",previewPdfUrl:"/chapter/pdf-preview/72549",authors:[{id:"316579",title:"Prof.",name:"Guocai",surname:"Tian",slug:"guocai-tian",fullName:"Guocai Tian"},{id:"320959",title:"Mr.",name:"Weizhong",surname:"Zhou",slug:"weizhong-zhou",fullName:"Weizhong Zhou"}],corrections:null},{id:"68591",title:"Conceptual DFT as a Helpful Chemoinformatics Tool for the Study of the Clavanin Family of Antimicrobial Marine Peptides",doi:"10.5772/intechopen.88657",slug:"conceptual-dft-as-a-helpful-chemoinformatics-tool-for-the-study-of-the-clavanin-family-of-antimicrob",totalDownloads:616,totalCrossrefCites:3,totalDimensionsCites:12,hasAltmetrics:1,abstract:"A well-behaved model chemistry previously validated for the study of the chemical reactivity of peptides was considered for the calculation of the molecular properties and structures of the clavanin family of antimicrobial marine peptides. A methodology based on conceptual density functional theory (CDFT) was chosen for the determination of the reactivity descriptors. The molecular active sites were associated with the active regions of the molecules related to the nucleophilic and electrophilic Fukui functions. Finally, the drug-likenesses and the bioactivity scores for the clavanin peptides were predicted through a homology methodology relating them with the calculated reactivity descriptors, while other properties like the pKas were determined following a methodology developed by our group.",signatures:"Norma Flores-Holguín, Juan Frau and Daniel Glossman-Mitnik",downloadPdfUrl:"/chapter/pdf-download/68591",previewPdfUrl:"/chapter/pdf-preview/68591",authors:[{id:"154505",title:"Dr.",name:"Norma",surname:"Flores-Holguín",slug:"norma-flores-holguin",fullName:"Norma Flores-Holguín"},{id:"198499",title:"Dr.",name:"Daniel",surname:"Glossman-Mitnik",slug:"daniel-glossman-mitnik",fullName:"Daniel Glossman-Mitnik"},{id:"214504",title:"Dr.",name:"Juan",surname:"Frau",slug:"juan-frau",fullName:"Juan Frau"}],corrections:null},{id:"73235",title:"DFT and Molecular Docking Studies of a Set of Non-Steroidal Anti-Inflammatory Drugs: Propionic Acid Derivatives",doi:"10.5772/intechopen.93828",slug:"dft-and-molecular-docking-studies-of-a-set-of-non-steroidal-anti-inflammatory-drugs-propionic-acid-d",totalDownloads:553,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Inflammation is the body’s defense mechanism to eradicate the spread of injurious agents in the affected mammalian tissues with a number of cellular mediators. Nonsteroidal anti-inflammatory drugs (NSAIDs) are the most commonly used drugs worldwide in such situations. The mode of action of the non-steroid anti-inflammatory drugs (NSAIDs) is attributed primarily to the inhibition of prostaglandin (PG) synthesis, and more specifically, to the inhibition of the COX enzyme system. This work can be considered as an effort to gain a deeper insight into the physiochemical properties of a few well-known NSAIDs namely; ketoprofen, fenoprofen, flurbiprofen and ibuprofen. A quantum computational approach was used to predict geometry, molecular electrostatic potential (MESP), polarizability, hyperpolarizability and molecular docking study of all selected NSAIDs with human COX-1 and COX-2 enzymes were done to predict the most active drug among the four and to demonstrate good selectivity profile with COX enzymes.",signatures:"Safna Hussan Kodakkat Parambil, Hisana Asharaf Thozhuvana Parambil, Shahina Parammal Hamza, Anjali Thirumangalath Parameswaran, Mohamed Shahin Thayyil and Muraleedharan Karuvanthodi",downloadPdfUrl:"/chapter/pdf-download/73235",previewPdfUrl:"/chapter/pdf-preview/73235",authors:[{id:"269630",title:"Dr.",name:"Karuvanthodi",surname:"Muraleedharan",slug:"karuvanthodi-muraleedharan",fullName:"Karuvanthodi Muraleedharan"}],corrections:null},{id:"72576",title:"Non-equilibrium Equation of State in the Approximation of the Local Density Functional and Its Application to the Emission of High-Energy Particles in Collisions of Heavy Ions",doi:"10.5772/intechopen.92247",slug:"non-equilibrium-equation-of-state-in-the-approximation-of-the-local-density-functional-and-its-appli",totalDownloads:255,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The non-equilibrium equation of state is found in the approximation of the functional on the local density, and its application to the description of the emission of protons and pions in heavy ion collisions is considered. The non-equilibrium equation of state is studied in the context of the hydrodynamic approach. The compression stage, the expansion stage, and the freeze-out stage of the hot spot formed during the collisions of heavy ions are considered. The energy spectra of protons and subthreshold pions produced in collisions of heavy ions are calculated with inclusion of the nuclear viscosity effects and compared with experimental data for various combinations of colliding nuclei with energies of several tens of MeV per nucleon.",signatures:"A.T. D’yachenko and I.A. Mitropolsky",downloadPdfUrl:"/chapter/pdf-download/72576",previewPdfUrl:"/chapter/pdf-preview/72576",authors:[{id:"317311",title:"Prof.",name:"Alexander",surname:"D'Yachenko",slug:"alexander-d'yachenko",fullName:"Alexander D'Yachenko"},{id:"317338",title:"Prof.",name:"Ivan",surname:"Mitropolsky",slug:"ivan-mitropolsky",fullName:"Ivan Mitropolsky"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"3621",title:"Silver Nanoparticles",subtitle:null,isOpenForSubmission:!1,hash:null,slug:"silver-nanoparticles",bookSignature:"David Pozo Perez",coverURL:"https://cdn.intechopen.com/books/images_new/3621.jpg",editedByType:"Edited by",editors:[{id:"6667",title:"Dr.",name:"David",surname:"Pozo",slug:"david-pozo",fullName:"David Pozo"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"397",title:"Nanofibers",subtitle:"Production, Properties and Functional Applications",isOpenForSubmission:!1,hash:"934fe33b73b2ecba961c67d5a90021ec",slug:"nanofibers-production-properties-and-functional-applications",bookSignature:"Tong Lin",coverURL:"https://cdn.intechopen.com/books/images_new/397.jpg",editedByType:"Edited by",editors:[{id:"49937",title:"Dr.",name:"Tong",surname:"Lin",slug:"tong-lin",fullName:"Tong Lin"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1045",title:"Nanocomposites and Polymers with Analytical Methods",subtitle:null,isOpenForSubmission:!1,hash:"65d477e855685ea85913e5aba0c5217e",slug:"nanocomposites-and-polymers-with-analytical-methods",bookSignature:"John Cuppoletti",coverURL:"https://cdn.intechopen.com/books/images_new/1045.jpg",editedByType:"Edited by",editors:[{id:"49991",title:"Dr.",name:"John",surname:"Cuppoletti",slug:"john-cuppoletti",fullName:"John Cuppoletti"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3200",title:"Nanofibers",subtitle:null,isOpenForSubmission:!1,hash:"97487143b896780afaf08cfd67cd1eec",slug:"nanofibers",bookSignature:"Ashok Kumar",coverURL:"https://cdn.intechopen.com/books/images_new/3200.jpg",editedByType:"Edited by",editors:[{id:"7718",title:"Professor",name:"Ashok",surname:"Kumar",slug:"ashok-kumar",fullName:"Ashok Kumar"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"191",title:"Advances in Nanocomposite Technology",subtitle:null,isOpenForSubmission:!1,hash:"4dc3407e602cdd348af663727baebe3d",slug:"advances-in-nanocomposite-technology",bookSignature:"Abbass Hashim",coverURL:"https://cdn.intechopen.com/books/images_new/191.jpg",editedByType:"Edited by",editors:[{id:"6700",title:"Dr.",name:"Abbass A.",surname:"Hashim",slug:"abbass-a.-hashim",fullName:"Abbass A. 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Macroautophagy: Macroautophagy is a complex process that involves the formation of subcellular and typically double membrane vesicles. These subcellular compartments are called as autophagosomes, which is used for sequestration of cytoplasmic materials and cargo them into lysosomes to be recycled. The process of macroautophagy starts with the initiation of the formation of the phagophore. The growth of the phagophore terminates in completion of the autophagosome.
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Chaperone-mediated autophagy (CMA): Chaperone-mediated autophagy is the only type of autophagy in mammalian cells that able to selectively degrade cytosolic proteins in lysosomes. All CMA substrates contain in their amino acid sequence a motif biochemically related to the pentapeptide KFERQ required for their selective recognition by the CMA cytosolic chaperone complex. These proteins are recognized by a chaperone complex and are translocated into the lysosome through a specific receptor called the lysosome-associated membrane protein (LAMP)-2A. Reduced CMA activity has been observed in many cell types and tissues of old rodents, as well as in cells derived from aged individuals. This mechanism is also linked to “lipophagy.”
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Lipophagy: Cellular lipid stores are also targeted for lysosomal degradation through a process termed “lipophagy.” Therefore during lipophagy, autophagy and lipases can act together to mobilize lipids stored in lipid droplets. According to Caenorhabditis elegans studies, less fat content may promote longevity through inactivating mTOR downstream targets.
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Microautophagy: During microautophagy, cytoplasmic content is sequestered into lysosomes through direct invagination of lysosomal membranes. This process can be observed in different organisms: yeast and mammalians. However, there are less information about microautophagy in mammalians compared to other distinguished autophagic processes.
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Mitophagy: The process of removal of damaged mitochondria through autophagy is called mitophagy. Accumulating evidence points that the maintenance of mitochondrial homeostasis is strongly associated with the onset and the progression of several age-associated neurodegenerative diseases, such as Parkinson’s disease, Alzheimer’s disease, and Huntington’s disease.
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Moreover, the selective degradation of endoplasmic reticulum, mitochondria, ribosomes, and peroxisomes are referred to as ERphagy, mitophagy, ribophagy, and pexophagy, respectively.
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1. Introduction
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Autophagy is an evolutionary conserved process, characterized by massive degradation of cytosolic contents [2]. The typical autophagy process is finalized by fusion of autophagosome to endosomes and lysosomes, which engulf cytoplasmic contents within a double-membrane vacuole [3]. Autophagy process has important physiological functions including the degradation of misfolded proteins and organelle turnover [4]. Recent studies also showed that there is a functional role between autophagy and apoptosis, which has been introduced as an important regulation of cell death in response to chemotherapeutic drugs [5]. The process is regulated by several proteins such as Atg protein family, essential for the initial building of the autophagosome, and phosphoinositide-3 kinase (PI3K) important in the early stages of autophagic vesicle formation. This complex is called autophagosomes, which are specific cytoplasmic compartments to degrade useless cellular components to reutilize in cellular processes. It is well established that a number of molecular targets are critical in autophagosome complexes [2]. One of the most remarkable autophagic marker, Beclin-1, has Bcl-2 homology (BH) 3 domain and it is a linker protein between apoptosis and autophagy due to its interaction with antiapoptotic Bcl-2 family members. Therefore, forced expression of Bcl-2 renders autophagy-related processes and thereby prevented autophagy as well as apoptosis [6].
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In addition, LC3, a cytosolic soluble protein, is cleaved during autophagic induction and involved in the autophagic vacuole membrane formation. When autophagic process starts, LC3-I (16 kDa) is converted to LC3-II (14 kDa). Recent studies showed that another autophagic key molecule, p62, is integrated in the autophagosome complexes during autophagy and reduced level of cytoplasmic-free p62 level could be accepted as an autophagic marker in the cells. Autophagy is also classified as the second type of cell death. A number of reports showed that drug-induced apoptosis mechanism could be postponed in cancer cells by activating autophagy [5]. Recent reports showed that inhibition of autophagy by the treatment of specific inhibitors for autophagic regulators, 3-MA, or suppression of autophagy regulatory pathways [7, 8] may provoke apoptotic efficiency of chemotherapeutic agents in prostate, breast, colon, lung, and HeLa cancer cells [9–11]. Mammalian target of rapamycin (mTOR) signaling pathway is one of the leading pathways that orchestrates autophagy in the cells [12]. Normally, mTOR is activated and autophagy is suppressed in the presence of insulin. Insulin binds to its specific receptor and caused autophosphorylation by the recruitment and phosphorylation of its major substrates insulin receptor substrate 1 and 2 (IRS1 and IRS2). Phosphorylated partners then recruit class I PI3K. Rapamycin is a lipophilic, macrolide antibiotic which has been shown to induce autophagy by inactivating mTOR [13, 14]. Therefore, rapamycin-mimicking agents, rapalogs, are natural autophagy inducers through inhibiting mTOR downstream signaling cascade.
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Autophagy is also referred as a catabolic process, which involves the formation of a double membrane structure around damaged organelles and cellular compartments which lead to growth arrest [4]. It has been shown that mTOR negatively regulates autophagy in response to cellular conditions and environmental stress [15]. mTOR consists of two complexes: mTOR complex I (mTORC1) and mTOR complex II (mTORC2). mTORC1 has specific protein, raptor, which is sensitive to rapamycin. mTORC2 associates with Rictor, which is considered to be insensitive to rapamycin (Figure 1).
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The PI3K/Akt pathway is an important intracellular signaling pathway in the regulation of cell survival through activating mTOR. Its downstream targets are translational regulators: p70S6K and eukaryotic initiation factor 4E (eIF4E) binding protein-1 (4EBP1) [12]. Raptor binds to mTOR substrates, including 4E-BP1 and p70 S6 kinase, through their TOR signaling (TOS) motifs and is required for mTOR-mediated phosphorylation of these substrates. Furthermore, the Rictor-mTOR complex has been identified as the previously elusive PDK2 responsible for the phosphorylation of Akt/PKB on Ser473, facilitating phosphorylation of Akt/PKB on Thr308 by PDK1 and required for the full activation of Akt/PKB [16]. The PI3K/Akt signaling proteins also interfere with apoptotic regulators, Forkhead box O (FoxO) and glycogen synthase kinase 3 (GSK3β), to inhibit apoptosis and autophagy in cancer cells [17, 18].
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Figure 1.
STRING mTOR interacting partner analysis.
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Figure 2.
Crystal structure of regulatory fragment of mammalian AMPK in complexes with ATP-AMP through PDB database ribbon presentation.
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All the mentioned molecular targets are well documented with their autophagy-related characteristics in different cells or organisms. Beside these highlighted targets, there are other important regulators, which also act as stress sensors in the cells [19]. One of the leading targets is AMP-activated protein kinase (AMPK), energy-sensing kinase, which is a downstream target of mTOR (Figure 2). AMPK is a heterotrimeric protein complex that is regulated by different modulators in the cells. This serine/threonine kinase is a heterotrimer composed of a catalytic (AMPKα) subunit and two regulatory (AMPKβ and AMPKγ) subunits. The phosphorylation of a conserved threonine residue (T172) in the activation domain of catalytic α-subunit by a number of kinases is crucial for the activity of AMPK [20]. Activated AMPK typically phosphorylates TSC2 tumor suppressor and leads to inactivation of Rheb, which is an interacting partner of mTORC1. Alternatively, it is shown that AMPK can regulate mTOR signaling by phosphorylating Raptor at Ser722 and Ser792, which leads to 14-3-3 binding to Raptor, and induces cell-cycle arrest triggered by impaired energy balance [21].
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Since the ratio of AMP to ATP exerts the intracellular energy measurement, these substrates determine the AMPK activity in the cells [22, 23]. AMPK can be also activated by metabolic stress factors, hypoxia or ATP consuming catabolic processes in the cells [17, 24, 25]. For this purpose, it can be emphasized that there is strong relationship between energy balance and autophagy regulation in the cells. To point this relationship, it is critical to put forward AMPK activation status in different conditions. In a brief presentation, AMPK is referred as a central metabolic sensor found in a variety of organisms that regulates glucose and lipid metabolism in response to alterations in nutrients and intracellular energy levels [23, 24]. However, the functional role of autophagy in energy balance conditions is not fully understood.
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As an example for this issue, although glucose starvation can activate AMPK-mediated signaling route and trigger autophagy through phosphorylating Ulk1 at Ser 317 and Ser 777, nutrient deficiency in high mTOR activity can also prevent Ulk1 activation by phosphorylating Ulk1 Ser 757 and disrupting the interaction between Ulk1 and AMPK. In addition, an established marker for autophagy, p62, can accumulate in AMPK-deficient livers [26]. Since p62 is involved in mitochondria clearance, the defects in selective degradation of mitochondria by autophagy (mitophagy) and a corresponding mitochondria accumulation was also shown in the same study with presence of severe abnormalities in AMPK- or ULK1-deficient hepatocytes.
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Therefore, there is still need to evaluate the AMPK activation status in autophagy-related issues. The supporting data for this manner are also observed in the treatment of type 2 diabetes (T2D). The well-known T2D treating drugs, metformin, thiazolidinediones, etc., can activate AMPK and improve insulin sensitivity and metabolic health [27–29]. It can be concluded that AMPK as a critical autophagy regulator has a great impact on human metabolic diseases. Thereby, diminished cellular energy capacity can stimulate glucose uptake in skeletal muscles or fatty acid (FA) oxidation in tissues through modulating AMPK.
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AMPK is a central molecular target that orchestrates metabolic stress and energy balance in the cells. One of the critical mechanisms regulated by AMPK is fatty acid synthesis, which is generally age-related problem due to nutritional habits or genetic background. When activated AMPK acetyl-CoA carboxylase (ACC) is phosphorylated at Ser79 (an inhibitory site), it prevents the conversion of acetyl-CoA to malonyl CoA. This action allows long-chain FAs to enter the mitochondria for oxidation. Concomitantly, HMG-CoA reductase leads to the inhibition of cholesterol synthesis, peroxisome proliferator-activated receptor-gamma coactivator (PPARα) 1α, which stimulates mitochondrial biogenesis and many others [19, 23]. The inhibition of FA synthase (FAS) expression due to AMPK was previously reported in primary cultured hepatocytes [30, 31]. Supporting this finding, it was shown that AMPK can suppress FAS gene expression either by AMPK activating AICAR or an antidiabetic drug metformin treatment in liver cells [29]. Indeed, activation of AMPK by either AICAR or rosiglitazone reduces expression of FAS and ACC resulting in the suppression of proliferation of prostate cancer cells [32]. Of note, physical exercise and calorie restriction (CR) may exert similar beneficial effects on metabolic health and reduce risk of several diseases, including T2D and cardiovascular diseases via targeting previously mentioned pathways [33]. Both exercise and CR are shown as the frequently observed metabolic stresses that increase the AMP: ATP ratio in an organism’s cells, which led to activation of AMPK. Similar to AMPK, silent information regulator 1 (SIRT1) signaling pathways are evolutionarily conserved energy sensors in cells responding to the increase in cellular AMP and NAD+ concentrations, respectively [34–36]. SIRT1 is a member of sirtuins, which is discussed later in detail to evaluate the autophagy and aging relationship.
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2. Aging: energy balance and stress management
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It is well studied that over 30 proteins orchestrated autophagy-related processes in the cells, which differ due to stress stimuli or depends on intrinsic molecular mechanism. Autophagy is a complex process in development, metabolism, and aging. In order to evaluate the potential characteristics of autophagy in aging, researchers pointed out that energy balance and stress factors should be discussed. Both factors are critical initiators of autophagy and play a role in cell decision signaling routes. For this reason, in this part, we will discuss the energy metabolism-related signaling cascades and stress-related cellular responses.
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Aging is strongly correlated with autophagy in different organisms from fungi to humans. It is well documented that protein degradation ratio is decreased due to aging [35, 36], which presents similar observations of diminished levels of age-related autophagic/proteolytic activity [37]. Therefore, it can be emphasized that there is strong relationship between autophagy, aging, and lifespan. The genetic basis of this connection was established in C. elegans daf-2 mutants, which have diminished insulin-signaling cascade and extended lifespan. Similar to this finding, mTOR or p53 mutants show lifespan extension [38–40].
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It is well documented that CR or late findings also showed the potential effect of resveratrol or spermidine treatment causing upregulation of sirtuins and led to increased lifespan in the cells. Similar findings were also shown for Caenorhabditis elegans and Drosophila melanogaster species [33, 41–44]. For this reason, sirtuins (mammalian protein family members 1–7) are also termed as antiaging proteins, class III histone deacetylases (HDACs), exerting function as protein deacetylases/ADP ribosyltransferases that target a wide range of cellular proteins in the nucleus, cytoplasm, and mitochondria for posttranslational modification by acetylation (SIRT1, -2, -3, and -5) or ADP ribosylation (SIRT4 and 6). Sirtuins have conserved NAD+-dependent deacetylase domain, which is known to regulate cellular senescence and lifespan. SIRT1 is generally found in nucleus, but there are remarkable data about its presence in cytoplasm. SIRT2 is the dominant member found in cytoplasm. SIRT3, SIRT4, and SIRT5 are localized to the mitochondria with different enzymatic activities. SIRT6 is a chromatin-associated nuclear protein and SIRT7 is found in nucleoli. Early data about involvement of sirtuins in autophagy-related longevity was shown with CR experiments [43, 44]. The reduced food intake without malnutrition caused increased autophagy via upregulation of AMPK and SIRT1 and inhibition of insulin/insulin-like growth factor (IGF) signaling. mTOR inhibition also has a remarkable data with these alterations [45]. Rapamycin is an mTOR complex I inhibitor that altered sirtuins and caused autophagy responses in the cells [46]. In a similar way, researchers highlighted that increased levels of acetate, acetyl-CoA, could inactivate autophagy in yeast models [47, 48]. These substances are generated through mitochondrial energy regulator networks such as acetyl-CoA hydrolase-1 (ACH1) and mitochondrial pyruvate carrier-1 (MPC1)-dependent pathway and the acetyl-CoA synthetase-2 (ACS2)-dependent nucleo-cytoplasmic pathway. The hyperactivation of these targets led to hyperacetylation of histones and ATG genes [48]. Similar findings were also shown for a number of pharmacological drugs, such as rapamycin, spermidine, or resveratrol, in different organisms.
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Figure 3.
STRING analysis of Homo sapiens SIRT2.
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The supporting data are observed within 25 years of experiment with primates. CR reduced mortality rates and age-related diseases in Rhesus monkeys [49]. Therefore, the identification of CR-altered molecular mechanisms has gained importance to evaluate the main reason of human diseases arisen during aging. In vivo and in vitro evidences highlighted that CR or fasting without malnutrition upregulated SIRT1, which regulates several transcription factors that regulate stress responses, energy metabolism, and endocrine signaling, including peroxisome proliferator-activated receptor (PPAR)γ, PPARγ coactivator 1 (PGC1)-α, forkhead box transcription factors (FOXOs), liver X receptor (LXR), and p53 [50]. In addition to these observations, we search SIRT2 on STRING (Figure 3). The analysis results showed that SIRT2 and SIRT1 have strong interactions with cellular dynamic proteins tubulins, cell survival, and death decision maker proteins: p53, MDM2, FoXO1, FoXO3, DNA repair proteins (BRCA1), and PI3K/AKT/MAPKs signaling axis proteins [51]. For this reason, it can be suggested that longevity, which is a final destination of sirtuins, is a complex cellular decision.
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When we checked protein atlas database for cancer-related SIRT1 and 2 expression profiles, we observed that SIRT1 is the most critical target in a number of cancer cases (Figure 4A and (B). Overexpression of SIRT1 is regulated at the transcriptional level through p53 binding sites, as SIRT1 promoter normally repress SIRT1 expression. However, in the absence of nutrients, FoXO3a translocates to the nucleus, interacts with p53, inhibits its suppressive activity, and leads to increased SIRT1 expression [52]. Moreover, double knockout p53 mice show increased basal expression of SIRT1 in selective tissues, including adipose tissue, but SIRT1 levels were not further elevated upon nutrient withdrawal [52]. The loss of functional p53 in carcinogenesis might increase SIRT1 levels [53].
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It is noteworthy that the clarification of several indicators is required to determine critical molecular factors in disease progression related to autophagy in age-dependent manner. The well-established models in this concept are nutrient deficiency with CR or physical exercise, a metabolic stress inducer. According to previous results both CR and physical exercise exert beneficial effects on metabolic health and reduce risk of several diseases, including T2D and cardiovascular diseases through targeting previously mentioned pathways. These factors are also accepted as metabolic stressors that increase the AMP: ATP ratio in an organism’s cells, which led to activation of AMPK [54].
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A number of studies showed that AMPK activation may slow aging [55, 56]. In contrary, the decline in AMPK activation with aging causes diminished autophagic regulation, increased oxidative stress, endoplasmic stress, apoptotic resistance, inflammation, fat deposition, hyperglycemia, and finally metabolic disorders. The key molecule AMPK gains more importance in age-related disease progression. While AMPK stimulates energy production from glucose and FA during metabolic stress and depress energy consumption for macromolecule synthesis [57, 58], it is not a new paradigm that nutritional overload breaks the functional AMPK status and induces insulin resistance which trigger metabolic syndromes such as obesity, diabetes, and cardiovascular diseases [59]. According to the findings obtained from model organisms, metformin treatment increases lifespan of C. elegans model organism [60]. The AMPK ortholog, AAK-2, can be activated through metformin treatment. Similar findings were also observed in Drosophila model organism [61]. However, all findings indicate that there is a clear deficiency in the sensitivity of AMPK activation in aged tissues. This might be a reason of systemic alterations such as function of protein phosphatases, which could be involved in the suppression of AMPK activation with aging.
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Figure 4.
Human protein atlas database query results for SIRT1 (A) and SIRT2 (B). http://www.proteinatlas.org/.
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Since it is well established that CR might reduce the tumor weight, the energy balance mechanism is investigated by cancer researchers. Supporting this observation, it is highlighted that cancer is a disease of aging, and the incidence of most of the cancers are increased with age due to genomic stability problems in genome [62–64]. DNA replication errors, reactive oxygen species (ROS) generation due to intrinsic cellular stress factors, or extrinsic stress inducers increased genomic instability. In correlation, in a number organisms which have lower reactive oxygen species are shown with increased lifespan. Therefore, increased lifespan may be causative factor for cancer development.
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In contrary to CR, high fat diet or increased calorie intake leads to obesity with a number of comorbidities, including cancer, cardiovascular diseases, and diabetes [65–68]. The main idea is to understand energy balance and human diseases relationship through investigating molecular targets in the cells (Figure 5). High calorie intake or fat oxidative stress cause metabolic dysfunction of critical pathways. During aging, slow rate of autophagy decision mediates a number of pathogenesis related to functional status of mTOR, AMPKa, and sirtuins, which are cellular stress and nutrient sensors.
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Figure 5.
Aging-related diseases and autophagy-related molecular signaling cascades.
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3. Aging and related neurological disorders
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Human aging, the gradual harmful effect of time on an organism, is comprised of physiological changes leading to senescence and inability to adapt to metabolic stress. Although aging has been considered as a natural process, age-associated diseases are found as leading causes of death. The dramatic increase in average life expectancy in the last century has been accompanied by an equivalent increase in age-related disease diagnosis, such as cancer, neurodegenerative diseases, type II diabetes, and cardiovascular diseases.
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The basis of aging process is examined under several hypothesis: the free radical, the immunologic, the inflammation, and the mitochondrial theories [69–72]. However, aging seems more likely a multifactorial process rather than a single cause [73, 74]. In this context, studies on longevity focus more than one target at a time, and animal models showed that aging rates and life expectancy can be modified by multitarget modulators. The consensus among researchers in the field indicates that aging can be retarded by dietary and pharmaceutical interventions, which let to delays in age-related diseases.
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Aging is an occasional process in different individuals in contrast to the programmed events in early development. Although recent studies indicate that klotho gene mutation could cause premature aging or telomeres are tightly linked to senescence, the variation of aging initiation pose an obstacle to interfere to the progress.
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The promising strategies to slow aging have suggested suppressing glucose production by the liver, inhibition of inflammation, and protein restriction [75]. The prevention of high glucose production, hyperglycemia, the condition in which excessive amount of glucose is found in the blood plasma, by metformin is under investigation for its potential effect on slowing aging in different organisms such as C. elegans [76]. Studies indicate that worms treated with metformin have stable body volume with reduced deformation of cuticle [76, 77].
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One of the possible mechanisms of metformin to decrease hyperglycemia is the activation of AMPK. AMPK is the primary activator of cellular response to lowered ATP levels [78]. As mentioned in previous section, AMPK targets mTOR signaling pathway, which affects transcription and translation through effector proteins 4E-BP1 and p70S6. The involvement of AMPK/mTOR axis in the suppressing glucose production strategy also overlaps with the inhibition of inflammation and protein restriction targets against aging. mTOR signaling regulates inflammatory responses after bacterial stimulation in monocytes, macrophages, and primary dendritic cells [79]. mTOR following tuberous sclerosis complex 2 activation (TSC2) has been shown to diminish proinflammatory cytokines production through nuclear factor (NF)-κB [79]. On the other hand, mTOR inhibition by AMPK is also a critical step in the control of translation attenuation [80]. In normal cellular conditions, nutrients induce mTOR and its downstream target S6K to promote growth and proliferation. However, in nonproliferating cells, this signaling axis has been shown to initiate cellular senescence, the phenomenon by which cells cease to divide. mTOR inhibitor rapamycin has been proposed for decelerating aging and age-related pathologies in D. melanogaster, C. elegans, and yeast [81–83].
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Therefore, the inhibition of mTOR is a critical phenomenon to balance cell survival and death signaling in eukaryotic organisms. Nutrient starvation can directly cause mTOR inhibition and induction of autophagy, a process that optimize the usage of limited energy supply. Autophagy is generally referred as a catabolic process during which autophagosomic-lysosomal degradation of cytoplasmic proteins, macromolecules, and damaged or aged organelles occur.
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The hallmarks of neurogedenerative diseases are generally described with the accumulation of abnormal proteins forming aggregates. These aggregates usually cause toxic effects, such as defective axonal transport, inactivation of transcription factors, reactive oxygen species generation, and consequently neuronal death [84]. Since differentiated neural cells lose their ability to divide, except the granule cell layer of the olfactory bulb, and the dentate gyrus of the hippocampus, a well-organized protein quality-control complex is needed in neural cells. Autophagy, as a process of cellular recycling for aggregated proteins, might be a critical target in the treatment of neurodegenerative diseases; however, altered autophagic activity has also been implicated in their pathogenesis [85].
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3.1. Alzheimer’s disease
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The main manifestations of Alzheimer’s disease (AD) are selective memory impairment and degenerative dementia in the elderly people. AD is characterized by the formation of neurofibrillary tangles and extracellular senile plaques. Tau protein and amyloid beta-peptide (Aβ) are involved in these two processes, respectively. Tau is a soluble microtubule-associated protein playing a role in microtubule stabilization and vesicle transport along the axon. Tau proteins have six isoforms with different size of amino acid chain. All isoforms are present usually in central nervous system, and upon hyperphosphorylated, they paired as helical filaments, a characteristic feature of AD. The hyperphosphorylation might be due to mutations in tau isoforms that alter their function and expression or in tau-kinases capable of phosphorylating tau such as glycogen synthase kinase 3 β (GSK3β), cyclin-dependent kinase 5 (CDK5), the mitogen-activated protein kinase (MAPK) extracellular-regulated kinases 1 and 2 (ERK1/2), p38, and the c-Jun NH2-terminal kinases (JNKs) [86–88]. Hyperphosphorylated tau disassembles microtubules and aggregates with MAP 1 (microtubule-associated protein1), MAP 2, and ubiquitin forming tangles. These aggregations are insoluble and cause neuronal dysfunctions in axonal transport resulting in cell death [89].
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Apart from Tau protein, amyloid plaques, which consist of aggregates of Aβ peptide, are responsible for AD development. Neurotoxic Aβ42 peptide is generated by the irregular proteolytic cleavages of transmembrane amyloid precursor protein (APP) extracellular domain by β- and γ-secretases. The cleaved intracellular parts form fibrils due to protein misfolding and can induce tau hyperphosphorylation, disruption of proteasome, mitochondria, and synapses as well [90, 91].
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Both tau and Aβ neurotoxicity exhibit altered protein aggregate formation, therefore the clearance of these structures is extremely important in neurons which are unable to eliminate them by dilution through cell division [92]. Thus, a protein quality-control system is needed in neural cells. Autophagy, due to its role of degrading nonfunctional proteins, is one of the candidates to process against neurodegenerative disorders. The increasing autophagosome formation augmented Aβ42 in autophagy-deficient conditions and reduced Beclin1 expression, which provided evidence for the importance of autophagy in AD [93–95]. However, autophagy might not always be the answer. The effect of autophagy is divided into two stages during neurodegenerative disorder: the acute and the chronic condition. Although acute autophagy helps neurons to eliminate neurotoxic aggregates, studies showed that chronic autophagy may be implicated in AD pathogenesis [96]. When autophagy is induced by rapamycin, due to mTOR inhibition γ-secretase activity and Aβ production was found increased by two fold compared to autophagy suppressed mouse fibroblasts [97]. Similar results were also found by serum starvation, where threefold increase in Aβ levels was also observed in human neurons [98].
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Consequently, the role of the autophagy is elusive for AD at the initial steps; however, later stages of the same pathway might affect the prognosis negatively. Therapies based on autophagy will require attentive targeting of specific steps of the process for efficient digestion of the aggregates without worsening the disease stage.
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3.2. Parkinson’s disease
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The loss of dopaminergic neurons in the substantia nigra of the central nervous system is the primary cause of Parkinson’s disease (PD). The pathology of the disease requires characteristic Lewy bodies in the nuclei of neurons [99]. Lewy bodies contain insoluble α-synuclein aggregates. α-synuclein, in nonpathological conditions, has the ability to bind membrane phospholipids and involved in presynaptic membrane procedures during neurotransmitter release, especially dopamine [100, 101]. The accumulation of α-synuclein occurs due to two missense mutations during PD: A53T and A30P [102]. A small percentage of the aggregates carrying these two mutations have been shown to recycle by the proteasomal degradation or CMA in dopaminergic neurons. During CMA, pathologic α-synucleins are directly targeted to lysosomes by HSC70 due to their Lys-Phe-Glu-Arg-Gln (KFERQ) amino acid sequence without involvement of vesicle formation apart from macroautophagy [103]. Mutated α-synucleins can accumulate with extra phosphate groups which led to the loss of the recognition sequence for CMA. In this case, the accumulation cannot be tolerated by CMA and dopaminergic neurons die via apoptosis [104]. Other than α-synuclein, parkin and PINK1 (PTEN-induced putative kinase 1) are PD promoting molecules.
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Parkin is an ubiquitin E3 ligase, located in mitochondria, which regulates variety of cellular processes in neural cells. Loss of parkin has been suggested as the second most common cause of PD. On the other hand, PINK1, with parkin, manage mitochondrial quality control. Recent studies indicate that upon mitochondria membrane potential loss, PINK1 cannot be imported to mitochondria and it accumulates in the cytoplasm where it recruits parkin to induce mitophagy [105]. Therefore, dysfunctional mitochondria are degraded under normal cellular conditions. However, when PINK1 is mutated, altered parkin activity leads to autophagy impairment and mitochondria imbalance which has been reported for animal models of PD [106, 107]. In addition, PINK1 also interplays with Beclin1. PINK1 mutation during PD cause defective or loss of PINK1-Beclin1 interaction and thus resulted in insufficient autophagic activity [108]. Taken together, PD promoting proteins having a role in either cell membrane or mitochondria integrity are also involved in the induction of autophagy. Therefore, mutations in their genes cause defective autophagy process and leads to the accumulation of both α-synuclein and unhealthy mitochondria leading to the apoptotic cell death of dopaminergic neurons in the substantia nigra.
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3.3. Amyotrophic lateral sclerosis
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Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the degeneration of both upper and lower motor neurons resulting in paralysis. ALS patients suffer from muscle weakness, atrophy, and spasticity. Denervation of the respiratory muscles and diaphragm is the fatal event of ALS. Although most incidences of ALS are sporadic, 20% of all cases are hereditary and caused by mutations in the superoxide dismutase 1 gene (SOD1) [109]. SOD1 is responsible to convert the natural byproduct of respiration, superoxide, to water and hydrogen peroxide. Therefore, defective SOD1 is not able to work properly causing loss of detoxification in motor neurons [110]. The alanine-to-valine substitution at position 4 of SOD1 is responsible for most of the cases, and patients carrying the mutation have a mean survival of 1 year after onset. Mice having the mutant SOD1 gene have been shown also to develop progressive motor neuron degeneration [111, 112]. ALS mice expressing mutant SOD1 have defective protein folding, mitochondrial dysfunction, oxidative stress, inflammation, and toxicity. More importantly, these mice exhibited aberrant neuronal aggregates composed by insoluble forms of SOD1 in their motor neurons, which suggested a pathological hallmark of ALS. These aggregates, also detected in sporadic ALS patients, were shown to carry not only SOD1 but also neurofilaments, peripherin, an intermediate filament subunit, and ubiquitin [110, 113, 114]. Therefore, it is concluded that although cells are willing to eliminate aggregates following ubiquitination through proteasomal degradation, misfolding due to mutations provides an obstacle for this process, which prevents them from degrading. In addition, proteasome malfunction has been implicated in motor neuron death during ALS [115]. The experimental models of ALS suggested that the above aggregates are cleared by autophagy. When autophagy was inhibited by 3MA or bafilomycin, cell viability was found further decreased in in vitro ALS models [116]. In contrary, autophagy inducer lithium increased the number of Renshaw cells, interneurons found in the spinal cord, which are affected early during experimental ALS [117]. Therefore, it is concluded that a proper autophagy mechanism is needed for the elimination of the aggregates for ALS treatment.
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3.4. Multiple sclerosis
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Studies on age-related diseases revealed that there is a relationship between age and the rate of disability progression of multiple sclerosis (MS). Although MS patients are usually diagnosed between the ages of 20 and 50, the relapse-remitting form of MS exhibits active symptomatic period by the age, indicating a faster rate of disease progression in older patients. MS is the most common autoimmune inflammatory demyelinating disease of the central nervous system. Demyelination occurs due to T cells and activated microglia attack to myelin proteins resulting in axonal injury and loss of oligodendrocytes. Findings also indicate that MS patients have increased T and B lymphocyte levels in demyelinated areas due to blood-brain barrier disruption [118]. In addition, dysfunction of mitochondria is one of the important factors in the pathogenesis of MS [119]. The decreased expression of cytochrome c oxidase impairs the function of mitochondria [120]. Dysfunction of mitochondria induces reactive oxygen species generation, contributing demyelination, and axonal loss [121]. Recent studies revealed that autophagy plays a role in the progress of MS and experimental autoimmune encephalomyelitis (EAE), which is accepted as the mouse model of MS. Studies indicated that depolarized mitochondria is engulfed and degraded in autophagic vacuoles to reduce the excessive production of ROS, which was supported by the increase of Beclin1 and Atg4 expression in MS brains [122]. On the other hand, exposure of rapamycin, mTOR inhibitor, prevented relapsing-remitting EAE.
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It was also shown that Atg5 was increased, whereas Atg16L2 is reduced in T cells in EAE and relapsing-remitting MS brains [123]. Atg-5-deficient mice were reported to have impaired T-cell function and survival [124]. All these data suggest that autophagy relates to both prevention of MS by degrading defective mitochondria and inducer of MS through Atg5 to extend T-cell survival [125].
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3.5. Huntington disease
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Huntington disease (HD) is an autosomal-dominant neurodegenerative disorder with a distinct phenotype, including cognitive decline, muscle incoordination. The HD symptoms are noticeable between the ages 35–45; however, the case gradually worsens at the old age with dementia, pneumonia, and heart diseases. HD develops due to a mutation in huntingtin protein, an expanded CAG repeat leading to a toxic polyglutamine strand of variable length at the N-terminus. Normally associated with vesicle and microtubule function, mutated huntingtin accumulates in tissues causing undegradable molecules by proteosomal degradation [126]. In this step, macroautophagy acts as a compensatory mechanism for the elimination of huntingtin [127]. Studies indicated that HD is associated with impaired degradation process of autophagosomes resulting in the accumulation of highly ubiquitinated aggregates of huntingtin in the endosomal-lysosomal organelles. Moreover, mutations in Atg genes, especially in Atg7 (V471A), have been linked to disease onset [128].
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4. Genetic basis of autophagy-related genes and diseases
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Since Human Genome Project is completed in 2003 and HapMap Project in 2005, valuable bioinformatics data were gained and published for research interested tools. Instead of classical Sanger-type DNA sequencing, next-generation DNA sequencing equipment accelerated the human gene-related alteration and human disease among ethnic population all around the world [129, 130]. While Mendelian-mediated monogenic and multifactorial-induced polygenic genes responsible for diseases were determined and localized within the human genome, association mediated regression analysis of human population genetics revealed some specific genes related with various cellular process involved in diseases has been assumed. One of the essential cellular processes, autophagy, is the process of long-lived proteins and organelles that are nonfunctional or damaged, maintaining the cellular homeostasis mediated by autophagosome and autolysosome formation [131]. Autophagy is demostrated as a protective event against oxidizable substrates, various pathological processes such as aging, neurodegeneration, cancer, diabetes, obesity, cardiac disease infection, and immunity [132–136]. These diseases are linked with various autophagy process key elements expressing genes via etiology of them. All the mutated autophagy-related genes and linked disease are presented in Table 1.
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Aging slows autophagy and prevents cellular defense mechanism against metabolic stress factor. However, all findings indicate that the functional role of autophagy differs in conditional manner.
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Genes
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Mutation type
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Associated human disease
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Ref.
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Gene products required for autophagosome formation
Germline and somatic mutations in human diseases-related with autophagy.
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4.1. Static encephalopathy of childhood with neurodegeneration in adulthood (SENDA)
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SENDA begins with early childhood intellectual impairment. Unlike the other forms of NBIA, however, the cognitive dysfunction remains nonprogressive, sometimes for decades, after first being recognized. Then, in adulthood, affected patients develop severe dystonia-parkinsonism and later exhibit signs of a progressive dementia. Although no etiology has yet been identified for SENDA, autophagy is focused on the pathogenesis of the disease [155, 156]. The neuroimaging of SENDA is distinct. In addition to iron deposition in the globus pallidus and substantia nigra, SENDA features T1 hyperintensity of the substantia nigra with a central band of T1 hypointensity. Significant cerebral and milder cerebellar atrophy also occur in elder age [157].
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Recent studies about autophagy-related genes has been identified, de novo mutations within WD Repeat-Containing Protein 45 (WDR45) gene [158]. WDR45 is a member of WD repeat protein family, encodes WD repeats which has minimally 40 amino acid conserved region leads to heterotrimeric or multiprotein complex generation [159]. WDR family member proteins are involved in cell-cycle progression, signal transduction, apoptosis, and gene regulation [160]. WDR45 gene is located at Xp11.23 band, and 25.9 kb length gene composed of 12 exons and 11 introns [161]. WDR45 gene expressed one of the four mammalian homologs of yeast Atg18 protein. Besides, Atg18 is the major autophagosome formation-related protein, with WIPIs proteins Atg18 belonging to PROPPIN family proteins [162]. Atg18/WIPIs protein complexes interact directly with Atg2 and this complex cross-talk with class III PtIns 3-kinase during autophagosome formation [163]. Homologs of Atg18 are ATG-18 and EPG-6 in C. elegans. Although C. elegans needs each homolog proteins at the same time to form autophagosome, homology of WDR45/WIPI4 in human shows powerful correlation with EPG-6 than ATG-18 [164]. Next-generation whole-exome sequencing results revealed that static encephalopathy of childhood with neurodegeneration in adulthood is classified as a subtype of neurodegenerative disease category. The etiology of this disease is mainly related to iron accumulation in brain leading to paraplegia and mental retardation at early onset. Other symptoms of this disease are aggressive behavior, abnormality of eye movement, absent speech, cerebellar atrophy, cerebral atrophy, dementia, dystonia, neurodegeneration, parkinsonism, and spastic paraparesis [165]. Lymphoblastoid cell lines derived from SENDA patients highlighted the reduced level of WIP14 expression compared to healthy control cases. In affected patients lymphoblastoid cell lines demonstrated abnormal accumulation of ATG9A and LC3-double positive components leading to autophagy blockage [159]. As both WDR45 and WIPI4 genes are localized within the same locus at chromosome X. Although the gender-dependent gene expression through X inactivation has not been determined yet, female-type mosaics and male-type hemizyotic lethally confused the molecular processes [166].
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4.2. Vici syndrome
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Vici syndrome is a very rare and severe congenital multisystem disorder characterized by the principal features of agenesis of the corpus callosum, cataracts, oculocutaneous hypopigmentation, cardiomyopathy, and combined immunodeficiency. The pathogenesis of Vici syndrome is related with autophagy because of the putative role of autolysosome formation gene, EPG-5 [Ectopic P-Granules Autophagy Protein 5 Homolog (C. elegans)] [167]. EPG-5 is a metazoan-specific autophagy gene that encodes a large coiled coil domain-containing protein that functions in autophagy during starvation conditions. Note that 5.9 kb long EPG-5 gene is localized in the Xp11.23 band and it is composed of 16 exons and 15 introns. Mutations within EPG-5 reported to be autophagy defective profile in C. elegans [146]. Moreover, lack of C. elegans EPG-5 demonstrated an accumulation of nondigested autolysosome in mammalian cells. Accumulation of SSTM/P62 and NBR1 are the leading cause of autophagy flux blockage in in vitro culture of fibroblasts from Vici syndrome patients [168]. In addition, the role of EPG-5 in Vici syndrome also indicated by reporting of dysregulation in endocytic pathway. In addition, EPG5−/− mice displayed some of the symptoms of Vici syndrome such as facial dysmorphism and cataracts [167].
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4.3. Danon disease
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Danon disease is a X-linked recessive disease characterized by weakening of the heart muscle (cardiomyopathy); weakening of the muscles used for movement, called skeletal muscles (myopathy); and intellectual disability [169]. Age and gender are the main risk factors for Danon disease as males develop Danon disease earlier than female and the symptoms come up in childhood or adolescence in most affected males and in early adulthood in most affected females. Heart-related signs and symptoms, including a sensation of fluttering or pounding in the chest (palpitations), an abnormal heartbeat (arrhythmia), or chest pain are the symptoms of Danon disease [170]. The association between autophagy and Danon disease is dependent on the gene that is responsible for Danon disease formation, LAMP2. LAMP2 gene encodes integral lysosomal membrane proteins that is an essential protein involved in the autophagosome vesicle formation via interaction with LAMP-2A [171]. The gene responsible for Danon disease is lysosomal-associated membrane protein 2 (LAMP2) that is localized at Xq24 band [172]. LAMP2 protein is a member of a family of membrane glycoproteins, which provides selectins with carbohydrate ligands and it may also function in the protection, maintenance, and adhesion of the lysosome. Alternative splicing of this gene results in multiple transcript variants encoding distinct proteins [173]. LAMP2 gene is composed of 9 exons and 8 introns, 43.2 kb in length. GLN174TER, VAL310ILE, and TRP321ARG mutations within the LAMP2 gene lead to Danon disease [174].
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4.4. Liver disease
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Both liver disease and lung disease may be developed with the deficiency of alpha-1 antitrypsin gene [175]. Alpha trypsin deficiency prevalence is 1/1500–3500 individuals among European ancestry population. The disease onset varies at age range among individuals. First signs of lung disease in alpha-1 antitrypsin deficiency are generally observed between ages 20 and 50 [176]. Among alpha-1 antitrypsin deficiency patients, 10% of them develop liver disease, which can be diagnosed by yellowing of the skin and whites of the eyes (jaundice). Approximately 15% of adults with alpha-1 antitrypsin deficiency develop liver damage (cirrhosis) due to the formation of scar tissue in the liver [177]. Since liver disease is a multifactorial polygenic disease and alcohol and hepatotoxic agents are the major environmental risk factors for liver disease causing cirrhosis include a swollen abdomen, swollen feet or legs, and jaundice. The most common genetic risk factor for liver disease is the alpha-antitrypsin gene deficiency [178]. The protein encoded by SERPINA1 [serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin)] is secreted as a serine protease inhibitor. It has a number of targets including elastase, plasmin, thrombin, trypsin, chymotrypsin, and plasminogen activator. The mutations on SERPINA1 can cause emphysema or liver disease. Several transcript variants encoding the same protein have been found for this gene. SERPINA1 is composed of 7 exons and 6 introns with a length of 13.9 kb that is located in the 14q32.1 band [179]. SERPINA1 gene product plays an essential role in the hepato-detoxification process of ZZ genotype of alpha antitrypsin deficiency syndrome diagnosed by PCR amplification and RFLP analysis [180]. By using 19-mer synthetic oligonucleotide probes, SZ phenotype is reported to be associated with M/S difference in exon 3 and M/Z difference in exon 5, whereas phenotype of MZ heterozygotes showed a low Z expression [181]. By routine isoelectric focusing of affected Z type and MZ (her husband genotype) of an obligate carrier mother of PI(M)/PI(null), heterozygote showed atypically low concentrations of circulating Z peptides, which were demonstrated by Harrison et al. [182]. Accumulation of ZZ peptides as intracellular inclusion bodies was reported by Lomas [183] in the ZZ homozygote. Moreover, it was shown that only about 15% of the AAT protein is secreted in the plasma in ZZ homozygotes and the rest of 85% of the protein is not secreted and accumulates in the endoplasmic reticulum (ER) of the hepatocyte. Thus, about 10% of newborn ZZ homozygotes develop liver disease that often leads to fatal childhood cirrhosis. Antitrypsin is an acute phase protein and undergoes a manifold increase in association with temperature elevations during triggered inflammation. Regulation of triggered inflammation and pyrexia symptoms in ZZ homozygote infants is found critical [183]. Wild-type protein primarily degraded by proteosomal activity, mutant alpha-ATZ protein, is reported to be digested autophagy-mediated degradation. According to Yorimitsu and Klionsky et al [1], depletion of Atg-5 in hepatocytes leads to the formation of insoluble aggregates of ATZ proteins and increased production of inclusion bodies. Although the protective or tumor suppressor effect of ATZ protein via autophagy regulation has not demonstrated yet, general evidences support the role of ATZ as a protection against alcohol and hepatotoxic agents [184] (Figure 6).
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Figure 6.
The role of autophagy in alpha antitrypsin deficiency syndrome etiology.
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4.5. Myopathy
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Myopathies are neuromuscular disorders in which the primary symptom is muscle weakness due to dysfunction of muscle fiber. As different genes are responsible for various types of myopathy, the symptoms of myopathy can include muscle cramps, stiffness, and spasm [185]. Moreover, myopathies can be inherited as the muscular dystrophies or acquired as common muscle cramps [186]. Congenita (developmental delays in motor skills; skeletal and facial abnormalities are occasionally evident at birth), muscular dystrophies (progressive weakness in voluntary muscles; sometimes evident at birth), mitochondrial myopathies (such as in Kearns-Sayre syndrome, MELAS, and MERRF), glycogen storage diseases of muscle (Pompe’s, Andersen’s, and Cori’s diseases), dermatomyositis (inflammatory myopathy of skin and muscle), myositis ossificans (bone growing in muscle tissue), polymyositis, inclusion body myositis, and related myopathies (inflammatory myopathies of skeletal muscle), neuromyotonia (alternation episodes of twitching and stiffness), tetany (characterized by prolonged spasms of the arms and legs is defined as myopathy), and major symptoms of Danon disease is linked with myopathy. There are also various autophagy-related myopathic disorders such as X-linked congenital autophagic vascular myopathy and adult onset vacuolar myopathy with multiorgan involvement that the etiology machinery has not been highlighted [187–190]. All these emphases disorders are predicted to be associated with autophagosome-lysosome fusion. Among muscle diseases sporadic inclusion body myositis, limb girdle muscular dystrophy type 2B, and miyoshi myopathy are shown to be associated with autophagy via clearance of the disease causing proteins during molecular pathogenesis [191].
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4.6. Cardiac disease
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X-linked Danon disease or lysosomal storage disorder and Pompe diseases are rare hereditary diseases of heart, and they are associated with imperfect autophagy processes due to impaired autophagosome lysosome fusion. Patients with coronary artery disease, hypertension, aortic valvular disease, and congestive heart failure are associated with autophagy [135, 192]. The cardiomyocytes isolation from cardiac disease rodent models showed that an obvious accumulation of autophagosomes is distinguishable [193]. Although it is not well clarified that autophagy might exert cytoprotective effects in these models via regulating ATP production, protein, and organelle quality control, or other mechanisms [136]. Atg5 knockout heart tissue models in adult mice results cardiac hypertrophy and contractile dysfunction. The heart consumes more energy per gram than any other tissue in the body. Therefore, energy turnover mechanisms are strictly orchestrated in normal heart tissue. In contrary, cell homeostasis is not properly regulated in a number of cardiac disorders such as cardiac ischemia and heart failure, which are characterized by a reduction in the availability of energy substrates [194]. Furthermore, long-term cardiac stress may remodel in myocytes through inducing elongation and hypertrophy to adapt to stress factors [195]. According to previous data, it is well established that heart tissue required more energy substrates under stress conditions. Therefore, active autophagy may increase the survival of heart cells when they were exposed to stress. Cardiac-specific Atg-5 knockout models did not exert any physiological change under normal conditions. However, stress induction caused more severe pathophysiological processes. Therefore, these data suggest that upregulation of autophagy in failing hearts is an adaptive response that protects against hemodynamic or neurohormonal stresses. Furthermore, it was shown that Beclin-1 protects contractile functions in the myocytes after stress overload [196]. While heterozygous disruption of Beclin-1 mediated decrease in the size of the myocardial infarction after ischemia/reperfusion, Beclin-1 overexpression decreased cell injury in an in vitro model of cardiac ischemia/reperfusion. Dominant-negative Atg5 overexpression increased cell injury, suggesting a protective effect for both ATG genes in ischemia/reperfusion [196].
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5. Conclusion
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Under physiological conditions, autophagy-related processes are important to provide unique cell homeostasis. In addition, when the cells are exposed to a number of environmental or cellular stress factors, full functional autophagy may protect cells against stress factors. However, as we discussed in previous parts, aging is a multifactorial process, which renders functional regulatory pathways and cause a pathophysiological problems in the cells. Aging in the presence of metabolic diseases causes the impairment of a number of critical genes, which orchestrates autophagy. For this reason, the determination of potential role of autophagic processes in aging-related diseases has potential to provide better therapeutic strategies in the treatment of diseases.
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Briefly all mentioned signalling cascades related to aging are altered during autophagic processes. As shown in Figure 5, the incidence of orange-colored diseases is increased in an age-dependent manner. Under normal conditions physiological energy balance is orchestrated by several factors placed in blue boxes. Intracellular stress and nutrient sensors labeled in green exert their functional roles through modulating different signaling cascades, which produce a variety of cellular responses as placed in yellow boxes.
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The functional role of autophagy in diseases is controversial. Also nutritional status, oxidative stress, and genetic basis of autophagy-related molecular targets determine the disease progression. In this section, we discuss the functional role of autophagy in genetic manner in common diseases and rare diseases (Vici syndrome, SENDA, and Danon disease).
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\n\n',keywords:"autophagy, aging, metabolism, diseases, sirtuins, AMPKa",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/52233.pdf",chapterXML:"https://mts.intechopen.com/source/xml/52233.xml",downloadPdfUrl:"/chapter/pdf-download/52233",previewPdfUrl:"/chapter/pdf-preview/52233",totalDownloads:1836,totalViews:292,totalCrossrefCites:0,totalDimensionsCites:0,totalAltmetricsMentions:0,impactScore:0,impactScorePercentile:22,impactScoreQuartile:1,hasAltmetrics:0,dateSubmitted:"November 28th 2015",dateReviewed:"June 6th 2016",datePrePublished:null,datePublished:"November 10th 2016",dateFinished:"August 29th 2016",readingETA:"0",abstract:"Autophagy is fundamental, evolutionary conserved physiological process at molecular level which targets long-lived cytosolic proteins and organelles to be recycled through lysosomal degradation. Diminished autophagic activity caused cellular stress in many organisms following aging, and inhibition of autophagy in model organisms causes degenerative changes and pathologic diseases observed with high incidence ratio generally in older ages. Consequently the delayed senescence or increased longevity in model organisms often stimulate autophagy, and autophagy inhibition compromises anti-aging effects. The cytoprotective function of autophagy is presented in various human diseases such as lung, liver, cardiovascular diseases, neurodegeneration, myopathies, cancer, stroke, infections and metabolic diseases which are found associated with autophagic targets. These pathologies are defined with their age-dependent characteristics, is not fully understood that how autophagy network regulates metabolism and may cause diseases in age-related manner. In this book chapter, we are going to discuss the autophagy and aging relationship in three different parts. In the first section autophagy and aging relationship is going to be presented through explaining responsible signalling network. The autophagy and age-related neurological disorders, genetic basis of age-dependent diseases and the functional role of autophagy is going to be discussed in the second and third part of the chapter.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/52233",risUrl:"/chapter/ris/52233",book:{id:"5295",slug:"autophagy-in-current-trends-in-cellular-physiology-and-pathology"},signatures:"Elif Damla Arisan, Pinar Obakan-Yerlikaya, Ajda Coker-Gurkan and\nNarçin Palavan Unsal",authors:[{id:"183217",title:"Dr.",name:"Damla",middleName:null,surname:"Arisan",fullName:"Damla Arisan",slug:"damla-arisan",email:"d.arisan@iku.edu.tr",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"183665",title:"Dr.",name:"Ajda",middleName:null,surname:"Coker-Gurkan",fullName:"Ajda Coker-Gurkan",slug:"ajda-coker-gurkan",email:"a.coker@iku.edu.tr",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"183666",title:"Prof.",name:"Pinar",middleName:null,surname:"Obakan-Yerlikaya",fullName:"Pinar Obakan-Yerlikaya",slug:"pinar-obakan-yerlikaya",email:"p.obakan@iku.edu.tr",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"183669",title:"Prof.",name:"Narcin",middleName:null,surname:"Palavan-Unsal",fullName:"Narcin Palavan-Unsal",slug:"narcin-palavan-unsal",email:"narcinunsal@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"Definitions [1]:",level:"1"},{id:"sec_2",title:"1. Introduction",level:"1"},{id:"sec_3",title:"2. Aging: energy balance and stress management",level:"1"},{id:"sec_4",title:"3. Aging and related neurological disorders",level:"1"},{id:"sec_4_2",title:"3.1. Alzheimer’s disease",level:"2"},{id:"sec_5_2",title:"3.2. Parkinson’s disease",level:"2"},{id:"sec_6_2",title:"3.3. Amyotrophic lateral sclerosis",level:"2"},{id:"sec_7_2",title:"3.4. Multiple sclerosis",level:"2"},{id:"sec_8_2",title:"3.5. Huntington disease",level:"2"},{id:"sec_10",title:"4. Genetic basis of autophagy-related genes and diseases",level:"1"},{id:"sec_10_2",title:"4.1. Static encephalopathy of childhood with neurodegeneration in adulthood (SENDA)",level:"2"},{id:"sec_11_2",title:"4.2. Vici syndrome",level:"2"},{id:"sec_12_2",title:"4.3. Danon disease",level:"2"},{id:"sec_13_2",title:"4.4. Liver disease",level:"2"},{id:"sec_14_2",title:"4.5. Myopathy",level:"2"},{id:"sec_15_2",title:"4.6. Cardiac disease",level:"2"},{id:"sec_17",title:"5. 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Neuromuscul Disord, 2012. 22(9–10): 820–820.'},{id:"B192",body:'Fiuza-Luces, C., et al., Exercise training can induce cardiac autophagy at end-stage chronic conditions: Insights from a graft-versus-host-disease mouse model. Brain Behav Immun, 2014. 39: 56–60.'},{id:"B193",body:'Terman, A. and U.T. Brunk, Autophagy in cardiac myocyte homeostasis, aging, and pathology. Cardiovas Res, 2005. 68(3): 355–365.'},{id:"B194",body:'Hamacher-Brady, A., et al., Autophagy as a protective response to Bnip3-mediated apoptotic signaling in the heart. Autophagy, 2006. 2(4): 307–309.'},{id:"B195",body:'Brady, N.R., et al., A wave of reactive oxygen species (ROS)-induced ROS release in a sea of excitable mitochondria. Antioxid Redox Signal, 2006. 8(9–10): 1651–1665.'},{id:"B196",body:'Hamacher-Brady, A., N.R. Brady, and R.A. Gottlieb, Enhancing macroautophagy protects against ischemia/reperfusion injury in cardiac myocytes. J Biol Chem, 2006. 281(40): 29776–29787.'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Elif Damla Arisan",address:"d.arisan@iku.edu.tr",affiliation:'
Department of Molecular Biology and Genetics, Istanbul Kultur University, Istanbul, Turkey
Department of Molecular Biology and Genetics, Istanbul Kultur University, Istanbul, Turkey
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Kaloostian and Paul\nE. Kaloostian",authors:[{id:"209339",title:"Dr.",name:"Paul",middleName:null,surname:"Kaloostian",fullName:"Paul Kaloostian",slug:"paul-kaloostian"}]},{id:"58255",title:"Role of Fibrinogen in Vascular Cognitive Impairment in Traumatic Brain Injury",slug:"role-of-fibrinogen-in-vascular-cognitive-impairment-in-traumatic-brain-injury",signatures:"Nino Muradashvili, Suresh C. Tyagi and David Lominadze",authors:[{id:"209718",title:"Prof.",name:"David",middleName:null,surname:"Lominadze",fullName:"David Lominadze",slug:"david-lominadze"},{id:"220228",title:"Dr.",name:"Nino",middleName:null,surname:"Muradashvili",fullName:"Nino Muradashvili",slug:"nino-muradashvili"},{id:"221938",title:"Prof.",name:"Suresh C.",middleName:null,surname:"Tyagi",fullName:"Suresh C. Tyagi",slug:"suresh-c.-tyagi"}]},{id:"58648",title:"Perfusion Computed Tomography in Traumatic Brain Injury",slug:"perfusion-computed-tomography-in-traumatic-brain-injury",signatures:"Cino Bendinelli, Shannon Cooper, Christian Abel, Andrew Bivard\nand Zsolt J. Balogh",authors:[{id:"26682",title:"Prof.",name:"Zsolt",middleName:null,surname:"Balogh",fullName:"Zsolt Balogh",slug:"zsolt-balogh"},{id:"26684",title:"Dr.",name:"Cino",middleName:null,surname:"Bendinelli",fullName:"Cino Bendinelli",slug:"cino-bendinelli"}]},{id:"57012",title:"Traumatic Axonal Injury in Patients with Mild Traumatic Brain Injury",slug:"traumatic-axonal-injury-in-patients-with-mild-traumatic-brain-injury",signatures:"Sung Ho Jang",authors:[{id:"219787",title:"Dr.",name:"Sung Ho",middleName:null,surname:"Jang",fullName:"Sung Ho Jang",slug:"sung-ho-jang"}]},{id:"60782",title:"Metabolic Responses and Profiling of Bioorganic Phosphates and Phosphate Metabolites in Traumatic Brain Injury",slug:"metabolic-responses-and-profiling-of-bioorganic-phosphates-and-phosphate-metabolites-in-traumatic-br",signatures:"Noam Naphatali Tal, Tesla Yudhistira, Woo Hyun Lee, Youngsam\nKim and David G. Churchill",authors:[{id:"219335",title:"Dr.",name:"David",middleName:"G.",surname:"Churchill",fullName:"David Churchill",slug:"david-churchill"},{id:"222931",title:"Dr.",name:"Youngsam",middleName:null,surname:"Kim",fullName:"Youngsam Kim",slug:"youngsam-kim"},{id:"222932",title:"Mr.",name:"Tesla",middleName:null,surname:"Yudhistira",fullName:"Tesla Yudhistira",slug:"tesla-yudhistira"},{id:"222934",title:"BSc.",name:"Woo Hyun",middleName:null,surname:"Lee",fullName:"Woo Hyun Lee",slug:"woo-hyun-lee"}]},{id:"58504",title:"Management of Intracranial Pressure in Traumatic Brain Injury",slug:"management-of-intracranial-pressure-in-traumatic-brain-injury",signatures:"Christ Ordookhanian, Meena Nagappan, Dina Elias and Paul E.\nKaloostian",authors:[{id:"209339",title:"Dr.",name:"Paul",middleName:null,surname:"Kaloostian",fullName:"Paul Kaloostian",slug:"paul-kaloostian"}]},{id:"56812",title:"Targeted Temperature Management in Traumatic Brain Injury",slug:"targeted-temperature-management-in-traumatic-brain-injury",signatures:"Sombat Muengtaweepongsa and Pornchai Yodwisithsak",authors:[{id:"64867",title:"Dr.",name:"Sombat",middleName:null,surname:"Muengtaweepongsa",fullName:"Sombat Muengtaweepongsa",slug:"sombat-muengtaweepongsa"}]},{id:"57826",title:"Complementary Traditional Chinese Medicine Therapy for Traumatic Brain Injury",slug:"complementary-traditional-chinese-medicine-therapy-for-traumatic-brain-injury",signatures:"Ching-Chih Chen, Yu-Chiang Hung and Wen-Long Hu",authors:[{id:"49804",title:"Dr.",name:"Yu-Chiang",middleName:null,surname:"Hung",fullName:"Yu-Chiang Hung",slug:"yu-chiang-hung"},{id:"49848",title:"Dr.",name:"Wen-Long",middleName:null,surname:"Hu",fullName:"Wen-Long Hu",slug:"wen-long-hu"},{id:"220768",title:"Dr.",name:"Ching-Chih",middleName:null,surname:"Chen",fullName:"Ching-Chih Chen",slug:"ching-chih-chen"}]}]}],publishedBooks:[{type:"book",id:"570",title:"Cell Metabolism",subtitle:"Cell Homeostasis and Stress Response",isOpenForSubmission:!1,hash:"1edda5867b826ab2fd845eff2da7a11f",slug:"cell-metabolism-cell-homeostasis-and-stress-response",bookSignature:"Paula Bubulya",coverURL:"https://cdn.intechopen.com/books/images_new/570.jpg",editedByType:"Edited by",editors:[{id:"47827",title:"Dr.",name:"Paula",surname:"Bubulya",slug:"paula-bubulya",fullName:"Paula Bubulya"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"729",title:"Metabolomics",subtitle:null,isOpenForSubmission:!1,hash:"4fae9ba692c101455b3001980a3d85b4",slug:"metabolomics",bookSignature:"Ute Roessner",coverURL:"https://cdn.intechopen.com/books/images_new/729.jpg",editedByType:"Edited by",editors:[{id:"85077",title:"Dr.",name:"Ute",surname:"Roessner",slug:"ute-roessner",fullName:"Ute Roessner"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1624",title:"Patch Clamp Technique",subtitle:null,isOpenForSubmission:!1,hash:"24164a2299d5f9b1a2ef1c2169689465",slug:"patch-clamp-technique",bookSignature:"Fatima Shad Kaneez",coverURL:"https://cdn.intechopen.com/books/images_new/1624.jpg",editedByType:"Edited by",editors:[{id:"31988",title:"Prof.",name:"Kaneez",surname:"Fatima Shad",slug:"kaneez-fatima-shad",fullName:"Kaneez Fatima Shad"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2580",title:"Cell-Free Protein Synthesis",subtitle:null,isOpenForSubmission:!1,hash:"45bb37450abccafaed57ae17ae1fa979",slug:"cell-free-protein-synthesis",bookSignature:"Manish Biyani",coverURL:"https://cdn.intechopen.com/books/images_new/2580.jpg",editedByType:"Edited by",editors:[{id:"143485",title:"Prof.",name:"Manish",surname:"Biyani",slug:"manish-biyani",fullName:"Manish Biyani"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2617",title:"Molecular Regulation of Endocytosis",subtitle:null,isOpenForSubmission:!1,hash:"dfd1b4de49c737272c722b73a0d7facb",slug:"molecular-regulation-of-endocytosis",bookSignature:"Brian Ceresa",coverURL:"https://cdn.intechopen.com/books/images_new/2617.jpg",editedByType:"Edited by",editors:[{id:"48114",title:"Dr.",name:"Brian",surname:"Ceresa",slug:"brian-ceresa",fullName:"Brian Ceresa"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],publishedBooksByAuthor:[{type:"book",id:"5295",title:"Autophagy in Current Trends in Cellular Physiology and Pathology",subtitle:null,isOpenForSubmission:!1,hash:"e16382542f283b73017bdb366aff66ad",slug:"autophagy-in-current-trends-in-cellular-physiology-and-pathology",bookSignature:"Nikolai V. 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\n
1. Introduction
\n
Phenolic compounds of plant origin can inhibit or delay the oxidation of nutrients present in food products. In the human organism, natural antioxidants can protect lipids, proteins, and DNA against reactive oxygen and nitrogen species (ROS, RNS) [1, 2]. Results of numerous research groups demonstrate the protective effect of consuming phenolic-rich grains, legumes, oilseeds, fruits, berries, and nuts against several chronic diseases [3, 4, 5, 6, 7].
\n
In human nutrition, legumes are an important source of proteins, starch, oligosaccharides (prebiotics), dietary fibers, vitamins, and minerals [8, 9]. As a rich source of natural antioxidants, legumes can play an important role in cardio and cancer protection [5, 10, 11, 12, 13, 14, 15].
\n
Faba bean (Vicia faba) is a species of Fabaceae family. It is native to South America, North Africa, and southwest and south Asia and is extensively cultivated elsewhere. Similar to other legumes, faba bean seeds contain phenolic compounds [16] including condensed tannins [17, 18, 19]. The antioxidant potential of faba bean was determined using DPPH, FRAP, and ORAC assays [17, 20, 21]. Very high antioxidant capacity of Vicia faba sprouts was confirmed by Okumura et al. [22].
\n
\n
\n
2. Experimental
\n
\n
2.1. Material
\n
Plant material consisted of a collection of 22 faba bean accessions derived from Syria, Morocco, Tunisia, Sudan, Egypt, Yemen, Israel, Georgia, Azerbaijan, Tajikistan, Mongolia, Afghanistan, India, Australia, and Poland (Table 1). Information about seed coat color and 100 seed weight was provided on the basis of results obtained in a field experiment conducted in Cerekwica (Poland, 51°55′N, 17°21′E).
\n
\n
\n
\n
\n
\n
\n\n
\n
No.
\n
Accession code
\n
Country of origin
\n
Seeds coat color
\n
Weight of 100 seeds (g)
\n
\n\n\n
\n
1
\n
FAB 337
\n
Syria
\n
Dark
\n
47.2
\n
\n
\n
2
\n
FAB 443
\n
Syria
\n
Bright
\n
76.6
\n
\n
\n
3
\n
FAB 5023
\n
Morocco
\n
Bright
\n
45.8
\n
\n
\n
4
\n
FAB 5019
\n
Morocco
\n
Bright
\n
52.1
\n
\n
\n
5
\n
FAB 6440
\n
Tunisia
\n
Bright
\n
68.0
\n
\n
\n
6
\n
FAB 6441
\n
Tunisia
\n
Bright
\n
65.0
\n
\n
\n
7
\n
FAB 225
\n
Sudan
\n
Bright
\n
64.7
\n
\n
\n
8
\n
FAB 297
\n
Sudan
\n
Bright
\n
45.0
\n
\n
\n
9
\n
FAB 6474
\n
Egypt
\n
Bright
\n
27.4
\n
\n
\n
10
\n
FAB 219
\n
Yemen
\n
Bright
\n
57.0
\n
\n
\n
11
\n
FAB 6318
\n
Israel
\n
Bright
\n
81.5
\n
\n
\n
12
\n
FAB 344
\n
Israel
\n
Dark
\n
46.8
\n
\n
\n
13
\n
FAB 604
\n
Georgia
\n
Bright
\n
66.3
\n
\n
\n
14
\n
FAB 294
\n
Azerbaijan
\n
Bright
\n
43.4
\n
\n
\n
15
\n
FAB 354
\n
Tajikistan
\n
Bright
\n
40.0
\n
\n
\n
16
\n
FAB 202
\n
Mongolia
\n
Bright
\n
68.4
\n
\n
\n
17
\n
FAB 144
\n
Afghanistan
\n
Dark
\n
65.5
\n
\n
\n
18
\n
FAB 187
\n
Afghanistan
\n
Bright
\n
30.9
\n
\n
\n
19
\n
FAB 250
\n
India
\n
Bright
\n
38.6
\n
\n
\n
20
\n
FAB 446
\n
India
\n
Bright
\n
41.1
\n
\n
\n
21
\n
FAB 7077
\n
Australia
\n
Bright
\n
72.5
\n
\n
\n
22
\n
Martin
\n
Poland
\n
Bright
\n
55.8
\n
\n\n
Table 1.
Description of faba bean seeds.
\n
Description of faba bean seeds is reported in Table 1.
\n
\n
\n
2.2. Chemicals
\n
Ferrous chloride, sodium persulfate, ferrous chloride, 2,4,6-tri(2-pyridyl)-s-triazine (TPTZ), 2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), 6-hydroxy-2,5,7,8-tetramethyl-chroman-2-carboxylic acid (Trolox), Folin–Ciocalteu’s phenol reagent, and (+)-catechin were purchased from Sigma (Poznań, Poland). Methanol, acetone, and hexane were obtained from P.O.Ch. Company (Gliwice, Poland).
\n
\n
\n
2.3. Extraction
\n
Phenolic compounds were extracted from grounded and defatted with hexane faba bean seed by using 80% acetone (v/v) at a solid to solvent ratio of 1:10 (w/v), for 15 min at 50°C [23]. Extraction was carried out in flasks placed in a shaking water bath (Elpan 357, Wrocław, Poland). Acetone from the combined extract was evaporated using a Büchi rotary evaporator. The sample was then freeze-dried.
\n
\n
\n
2.4. Determination of total phenolic compound contents
\n
The content of total phenolic compounds in the extracts was determined using the Folin–Ciocalteu’s phenol reagent [24]. The results were expressed as (+)-catechin equivalents per g of the extract and per 100 g of seeds.
\n
\n
\n
2.5. Determination of condensed tannins content
\n
The content of condensed tannins was determined using a vanillin/HCl colorimetric method [25]. The results obtained were reported as mg catechin equivalent per g extract and 100 g of seeds.
\n
\n
\n
2.6. ABTS assay
\n
The Trolox equivalent antioxidant capacity (TEAC) was determined using the method of Re et al. [26]. The results obtained were reported as mmol Trolox equivalents per g extract and 100 g of seeds.
\n
\n
\n
2.7. FRAP assay
\n
The ferric-reducing antioxidant power (FRAP) assay was performed as previously described by Benzie and Strain [27]. The results obtained were reported as mmol Fe2+ equivalents per g extract and 100 g of seeds.
\n
\n
\n
2.8. Statistical analysis
\n
The results are reported as a mean value of three determinations ± standard deviation. The Pearson correlation was used to determine the relation between results of total phenolics, condensed tannins, TEAC, and FRAP values. Moreover the principal component analysis (PCA) and hierarchical cluster analysis (HCA) with Ward’s method using Euclidean distances were conducted. Statistical and chemometric analyses of data were performed using the Statistica software (Windows software package 8.0).
\n
\n
\n
\n
3. Results and discussion
\n
\n
3.1. Content of total phenolics and condensed tannins
\n
The content of total phenolics in the extracts was determined using the Folin–Ciocalteu’s phenol reagent. The results were expressed as (+)-catechin equivalents per g of the extract or 100 g seeds. The results are reported in Tables 2 and 3. The content of total phenolics ranged from 40.7 (FAB 219) to 66.1 mg/g extract (FAB 187) and from 326 (FAB 219) to 574 mg/100 g seeds (FAB 5019).
Contents of total phenolic compounds and condensed tannins and antioxidant activity of faba bean seeds. Results are reported per 100 g of seeds.
Catechin equivalents.
Catechin equivalents.
\n
The content of condensed tannins in the extracts was determined using the vanillin/HCl colorimetric method. The results ranged from 2.40 (FAB 297) to 49.9 mg/g extract (FAB 225) and from 22.2 (FAB 297) to 441 mg/100 seeds (FAB 5019) (Tables 1 and 3).
\n
The results obtained in this research confirm the fact that faba bean is a rich source of phenolic compounds as well as condensed tannins. A lower content of total phenolic compounds was previously reported for extracts of pea [28], white bean [29], broad bean [23, 30] lupin [31], and grass pea [32]. A similarly high content of total phenolic compounds was previously reported for red lentil [33], green lentil [34], red bean [35], and adzuki bean [36].
\n
The presence of condensed tannins in faba bean seeds determined with the vanillin method was reported by Amarowicz et al. [37], Baginsky et al. [38], Amarowicz and Shahidi [39], and Zduńczyk et al. [17]. In a research conducted by Luo et al. [40], the content of condensed tannins in faba bean extracts ranged from 0.9 to 1.9 g of gallic acid equivalents/100 g extract. In this research, the authors used the Folin-Ciocalteu’s phenol reagent to determine the content of tannins precipitated from the extract by using polypyrrolidone (PVPP). Amarowicz and Shahidi [39] identified gallate procyanidin dimer and three gallate procyanidins in faba bean extract by using HPLC-DAD-MS. The content of the abovementioned compounds was 689, 89.8, 28.6, and 18.3 μg/g extract. Five procyanidin dimmers and three procyanidin trimers were determined in faba bean extract using an UHPLC-ESI-QTOF-MS method [41]. The presence of procyanidin B1, B2, B3, B4, C1, and C2 has been reported by De Pascual-Teresa et al. [42].
\n
\n
\n
3.2. Antioxidant activity
\n
Antioxidant properties of the extracts were investigated using ABTS and FRAP assays. The extracts and seeds were characterized by the Trolox equivalent antioxidant capacity (TEAC) values ranging from 0.550 (FAB 443) to 1.030 mmol Trolox/g extract (FAB 187) and from 4.85 (FAB 318) to 9.81 mmol Trolox/100 g seeds (FAB 187). Ferric-reducing antioxidant power (FRAP) values varied from 0.595 (FAB 443) to 0.908 mmol Fe2+/g extract (FAB 5023) and from 4.61 (FAB 297) to 7.90 mmol Fe2+/100 g seeds (FAB 187).
\n
The results of ABTS assay obtained in this study for faba bean extracts were much higher than those reported before for extracts of grass pea (0.017–0.037 mmol Trolox/g) [32], cow pea (0.285–0.665 mmol Trolox/g) [43], white bean (0.0270–0.043 mmol Trolox/g) [29], mung bean (0.021–0.031 mmol Trolox/g) [35], and lupin (0.260–0.620 mmol Trolox/g) [31]. The results of FRAP assay were also much higher than those reported for extracts of grass pea (0.045–0.120 mmol Fe2+/g), [32], cow pea (0.487–1.566 mmol Fe2+/g) [43], white bean (0.066–0.089 mmol Fe2+/g) [29], and lupin 0.046–0.064 [31].
\n
\n
\n
3.3. Statistical analysis
\n
In our study, for the first time, a correlation was calculated between the content of phenolic compounds in the faba bean extracts and their antioxidant activity. The coefficients of correlation between the total phenolic content and the results of the ABTS and FRAP assays were 0.864 and 0.862, respectively (Figure 1). The correlations between the content of condensed tannins and results of ABTS and FRAP assays were weaker and characterized by r = 0.543 and r = 0.528 (Figure 2). A correlation was also observed between the results of both assays (r = 0.795) (Figure 3).
\n
Figure 1.
Correlation between the total phenolic contents and the results of ABTS and FRAP assays.
\n
Figure 2.
Correlation between the content of tannins and the results of ABTS and FRAP assays.
\n
Figure 3.
Correlation between the results of FRAP and ABTS assays.
\n
In our previous study, we noted a correlation between the total phenolic content and ABTS and FRAP results determined for red bean (r = 0.997 and 0.997, respectively) [35], white (r = 0.480 and 0.850, respectively) [29], and grass pea (r = 0.881 and 0.781, respectively) [32]. Statistically significant correlations between the content of total phenolics and TEAC as well as between the content of condensed tannins and TEAC (r = 0.857 and 0.787, respectively) were reported for extracts obtained from seeds of faba bean, broad bean, adzuki bean, red bean, pea, red lentil, and green lentil [44].
\n
In the principal component analysis (PCA) (Figure 4), the two first components accounted for 93.6% of the total variability between the faba bean cultivars. The analysis includes the content of total phenolic compounds and condensed tannins in seeds as well as their antioxidant potential determined using ABTS and FRAP methods. A considerable variability in terms of the analyzed traits expressed jointly with the grates Mahalanobis distance was recorded for sample 18 from Afghanistan (FAB 187) and samples 8, 10, and 11 from Sudan (FAB 297), Yemen (FAB 219), and Israel (FAB 6318). The close clustering was observed for seeds from Sudan, Yemen, and Afghanistan and for seeds from Morocco, Sudan, and Tajikistan (sample 4, 7, and 15; FAB 5019, FAB 225, and FAB 354).
\n
Figure 4.
Results of the principal component analysis (PCA).
\n
The hierarchical cluster analysis (Figure 5) showed several pairs of faba bean accessions (e.g., FAB 337 and FAB 202, FAB 5023 and FAB 604). Two main clusters were observed. The first contained 16 accessions, whereas the second contained only 6. The presence of similar pairs of faba bean accessions from different countries confirms the limitation of the hierarchical cluster analysis in the discrimination of the geographical origin of samples.
\n
Figure 5.
The hierarchical cluster analysis.
\n
\n
\n
\n
4. Conclusions
\n
The extracts obtained from faba bean were characterized by a high content of phenolic compounds and condensed tannins. Their antioxidant potential was higher than that reported previously for the extracts of other legume seeds. The content of total phenolics and condensed tannins in the faba bean extracts strongly influenced the antioxidant activity of extracts determined using ABTS and FRAP assays.
\n
\n
Acknowledgments
\n
The technical assistance of Kamila Penkacik is acknowledged.
\n
Conflict of interest
The authors declare no conflict of interest.
\n',keywords:"faba bean, Vicia faba L., phenolic compounds, antioxidant activity, ABTS assay, DPPH assay",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/66421.pdf",chapterXML:"https://mts.intechopen.com/source/xml/66421.xml",downloadPdfUrl:"/chapter/pdf-download/66421",previewPdfUrl:"/chapter/pdf-preview/66421",totalDownloads:1078,totalViews:0,totalCrossrefCites:1,dateSubmitted:"December 13th 2018",dateReviewed:"February 28th 2019",datePrePublished:"March 27th 2019",datePublished:"September 4th 2019",dateFinished:"March 27th 2019",readingETA:"0",abstract:"Phenolic compounds were extracted from seeds of 22 cultivars of faba bean (Vicia faba L.) by using 80% (v/v) aqueous acetone. The total phenolic compound and condensed tannins contents of the extracts and their antioxidant activity were determined using the Folin-Ciocalteu’s phenol reagent, vanillin/HCl method, and ABTS and FRAP assays, respectively. The content of total phenolic compounds ranged from 40.7 to 66.1 mg/g extract and from 326 to 574 mg/100 g seeds. Contents of condensed tannins ranged from 2.40 to 49.9 mg/g extract and from 22.2 (FAB) to 365 mg/100 seeds. The extracts and seeds were characterized by Trolox equivalent antioxidant capacity (TEAC) values ranging from 0.550 (FAB 443) to 1.030 mmol Trolox/g extract (FAB 187) and from 4.85 (FAB 318) to 9.81 mmol Trolox/100 g seeds (FAB 187). Ferric-reducing antioxidant power (FRAP) values varied from 0.595 (FAB 443) to 0.908 mmol Fe2+/g extract (FAB 5023) and from 4.61 (FAB 297) to 7.90 mmol Fe2+/100 g seeds (FAB 187). The total phenolic content of faba bean extract was correlated with the results of the ABTS (r = 0.864) and FRAP (r = 0.862) assays. The coefficients of correlations between the contents of condensed tannins and ABTS and FRAP results were 0.543 and 0.862. We also noted a correlation between results of ABTS and FRAP assays (r = 0.795).",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/66421",risUrl:"/chapter/ris/66421",signatures:"Wojciech Rybiński, Magdalena Karamać, Katarzyna Sulewska and Ryszard Amarowicz",book:{id:"8593",type:"book",title:"Plant Extracts",subtitle:null,fullTitle:"Plant Extracts",slug:"plant-extracts",publishedDate:"September 4th 2019",bookSignature:"Aman Dekebo",coverURL:"https://cdn.intechopen.com/books/images_new/8593.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83881-889-0",printIsbn:"978-1-83881-888-3",pdfIsbn:"978-1-83881-890-6",isAvailableForWebshopOrdering:!0,editors:[{id:"191684",title:"Dr.",name:"Aman",middleName:null,surname:"Dekebo",slug:"aman-dekebo",fullName:"Aman Dekebo"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"289432",title:"Prof.",name:"Ryszard",middleName:null,surname:"Amarowicz",fullName:"Ryszard Amarowicz",slug:"ryszard-amarowicz",email:"r.amarowicz@pan.olsztyn.pl",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"289434",title:"Prof.",name:"Wojciech",middleName:null,surname:"Rybiński",fullName:"Wojciech Rybiński",slug:"wojciech-rybinski",email:"wryb@igr.poznan.pl",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"289435",title:"Dr.",name:"Magdalena",middleName:null,surname:"Karamać",fullName:"Magdalena Karamać",slug:"magdalena-karamac",email:"m.karamac@pan.olsztyn.pl",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"289436",title:"MSc.",name:"Katarzyna",middleName:null,surname:"Sulewska",fullName:"Katarzyna Sulewska",slug:"katarzyna-sulewska",email:"k.sulewska@pan.olsztyn.pl",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Experimental",level:"1"},{id:"sec_2_2",title:"2.1. Material",level:"2"},{id:"sec_3_2",title:"2.2. Chemicals",level:"2"},{id:"sec_4_2",title:"2.3. Extraction",level:"2"},{id:"sec_5_2",title:"2.4. Determination of total phenolic compound contents",level:"2"},{id:"sec_6_2",title:"2.5. Determination of condensed tannins content",level:"2"},{id:"sec_7_2",title:"2.6. ABTS assay",level:"2"},{id:"sec_8_2",title:"2.7. FRAP assay",level:"2"},{id:"sec_9_2",title:"2.8. Statistical analysis",level:"2"},{id:"sec_11",title:"3. Results and discussion",level:"1"},{id:"sec_11_2",title:"3.1. Content of total phenolics and condensed tannins",level:"2"},{id:"sec_12_2",title:"3.2. Antioxidant activity",level:"2"},{id:"sec_13_2",title:"3.3. Statistical analysis",level:"2"},{id:"sec_15",title:"4. Conclusions",level:"1"},{id:"sec_16",title:"Acknowledgments",level:"1"},{id:"sec_19",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Halliwell B, Gutteridge JC, Cross CE. Free radicals, antioxidants, and human disease: Where are we now? Journal of Laboratory and Clinical Medicine. 1992;119:598-620\n'},{id:"B2",body:'Willett WC. Diet and health: What should we eat? Science. 1994;264:532-537. DOI: 10.1126/science.8160011\n'},{id:"B3",body:'Zhang B, Peng H, Deng Z, Tsao R. Phytochemicals of lentil (Lens culinaris) and their antioxidant and anti-inflammatory effects. Journal of Food Bioactives. 2018, 2018;1:93-103. DOI: 10.31665/JFB.2018.1128\n'},{id:"B4",body:'Chang SK, Alasalvar C, Shahidi F. Review of dried fruits: Phytochemicals, antioxidant efficacies, and health benefits. Journal of Functional Foods. 2016, 2016;21:113-132. DOI: 10.1016/j.jff.2015.11.034\n'},{id:"B5",body:'Shahidi F, Ambigaipalan P. 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Antioxidant potential of grass pea seeds from European countries. Food. 2018, 2018;7(9):142. DOI: 10.3390/foods7090142\n'},{id:"B33",body:'Amarowicz R, Estrella I, Hernández T, Dueñas M, Troszyńska A, Kosińska A, et al. Antioxidant activity of a red lentil extract and its fractions. International Journal of Molecular Sciences. 2009;10:5513-5527. DOI: 10.3390/ijms10125513\n'},{id:"B34",body:'Amarowicz R, Estrella I, Hernández T, Robredo S, Troszyńska A, Kosińska A, et al. Free-radical scavenging capacity, antioxidant activity, and phenolic composition of green lentil (Lens culinaris). Food Chemistry. 2010;121:705-711. DOI: 10.1016/j.foodchem.2010.01.009\n'},{id:"B35",body:'Amarowicz R, Karamać M, Dueñas M, Pegg RB. Antioxidant activity and phenolic composition of a red bean (Phasoelus vulgaris) extract and its fractions. Natural Product Communications. 2017;12:541-544\n'},{id:"B36",body:'Amarowicz R, Estrella I, Hernández T, Troszyńska A. Antioxidant activity of extract of adzuki bean and its fractions. Journal of Food Lipids. 2008;15:119-136. DOI: 10.1111/j.1745-4522.2007.00106.x\n'},{id:"B37",body:'Amarowicz R, Naczk M, Zadernowski R, Shahidi F. Antioxidant activity of condensed tannins of beach pea, canola hulls, evening primrose, and faba bean. Journal of Food Lipids. 2000, 2000;7:195-205. DOI: 10.1111/j.1745-4522.2000.tb00171.x\n'},{id:"B38",body:'Baginsky C, Peña-Neira Á, Cáceres A, Hernández T, Estrella I, Morales H, et al. Phenolic compound composition in immature seeds of fava bean (Vicia faba L.) varieties cultivated in Chile. Journal of Food Composition and Analysis. 2013;31:1-6. DOI: 10.1016/j.jfca.2013.02.003\n'},{id:"B39",body:'Amarowicz R, Shahidi F. Antioxidant activity of faba bean extract and fractions thereof. Journal of Food Bioactives. 2018;2:112-118. DOI: 10.31665/JFB.2018.2146\n'},{id:"B40",body:'Luo Y-W, Wang Q , Li J, Wang Y, Xiao-Xiao J, Zheng-Ping H. The impact of processing on antioxidant activity of faba bean (Vicia faba L.). Advance Journal of Food Science and Technology. 2015;7:361-367\n'},{id:"B41",body:'Abu-Reidah IM, del Mar CM, Arráez-Román D, Fernández-Gutiéraz A, Segura-Carretero A. UHPLC-ESI-QTOF-MS-based metabolic profiling of Vicia faba L. (Fabaceae) seeds as a key strategy for characterization in foodomics. Electrophoresis. 2014;35:1571-1581. DOI: 10.1002/elps.201300646\n'},{id:"B42",body:'De Pascual-Teresa S, Santos-Buelga C, Rivas-Gonzalo JC. Quantitative analysis of flavan-3-ols in Spanish foodstuffs and beverages. Journal of Agricultural and Food Chemistry. 2000;48:5331-5337. DOI: 10.1021/jf000549h\n'},{id:"B43",body:'Siddhuraju P, Becker K. The antioxidant and free radical scavenging activities of processed cowpea (Vigna unuguiculata (L.) Walp.) seed extracts. Food Chemistry. 2007;101:10-19. DOI: 10.1016/j.foodchem.2006.01.004\n'},{id:"B44",body:'Amarowicz R, Troszyńska A, Baryłko-Pikielna N, Shahidi F. Polyphenolics extracts from legume seeds: Correlations between total antioxidant activity, total phenolics content, tannins content and astringency. Journal of Food Lipids. 2004;11:278-286. DOI: 10.1111/j.1745-4522.2004.01143.x\n'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Wojciech Rybiński",address:null,affiliation:'
Institute of Plant Genetics, Polish Academy of Sciences, Poland
Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, Poland
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Different conventional state estimation methods, namely the unscented Kalman filter (UKF), the central difference Kalman filter (CDKF), the square‐root unscented Kalman filter (SRUKF), the square‐root central difference Kalman filter (SRCDKF), the iterated unscented Kalman filter (IUKF), the iterated central difference Kalman filter (ICDKF), the iterated square‐root unscented Kalman filter (ISRUKF) and the iterated square‐root central difference Kalman filter (ISRCDKF) are evaluated through a simulation example with two comparative studies in terms of state accuracies, estimation errors and convergence. The state variables are estimated in the first comparative study, from noisy measurements with the several estimation methods. Then, in the next comparative study, both of states and parameters are estimated, and are compared by calculating the estimation root mean square error (RMSE) with the noise‐free data. The impacts of the practical challenges (measurement noise and number of estimated states/parameters) on the performances of the estimation techniques are investigated. The results of both comparative studies reveal that the ISRCDKF method provides better estimation accuracy than the IUKF, ICDKF and ISRUKF. Also the previous methods provide better accuracy than the UKF, CDKF, SRUKF and SRCDKF techniques. The ISRCDKF method provides accuracy over the other different estimation techniques; by iterating maximum a posteriori estimate around the updated state, it re‐linearizes the measurement equation instead of depending on the predicted state. The results also represent that estimating more parameters impacts the estimation accuracy as well as the convergence of the estimated parameters and states. 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These associations have been based almost entirely on the presence or absence of lesmas and “projectile points,” regardless of their morphological and technological features. In the Uruguayan archaeological literature, three other cultures are recognised: Fell industry, Catalanense industry, and Tigre tradition, all in the Uruguayan region. However, the last 10 years of systematic studies on the lithic assemblages from these sites have shown that Paleoindian societies from Eastern South America are more culturally diverse than expected and that previously defined archaeological cultures present several issues in their definition, suggesting that many of these “traditions” are not valid and should no longer be used. 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While the Oldowan as the earliest technocomplex continues to be elusive, the oldest Acheulean is dated to ~1.5 Ma and the early Middle Paleolithic is ~385 ka (from the same site). New Late Pleistocene dates have been reported for the Middle Paleolithic which continues up to 38 Ka in southern India. The Upper Paleolithic remains ambiguous and requires critically multidisciplinary investigations. The microlithic evidence appears to spread rapidly across the subcontinent soon after its emergence at ~48 Ka (though its origin is debated) and continues into the Iron Age. The timeline of the initial arrival of Homo sapiens continues to be debated based on the archaeology (advanced Middle Paleolithic vs. microlithic) and genetic studies on indigenous groups. Other issues that need consideration are: interactions between archaics and arriving moderns, the marginal occurrence of symbolic behavior, the absolute dating of rock art and the potential role of hominins in specific animal extinctions and ecological marginalization. The region does not appear to have been a corridor for dispersals towards Southeast Asia (although gene flow may have occurred). Instead, once various prehistoric technologies appeared in the Subcontinent, they possibly followed complex trajectories within relative isolation.",book:{id:"9251",slug:"pleistocene-archaeology-migration-technology-and-adaptation",title:"Pleistocene Archaeology",fullTitle:"Pleistocene Archaeology - Migration, Technology, and Adaptation"},signatures:"Parth R. Chauhan",authors:[{id:"307040",title:"Dr.",name:"Parth",middleName:null,surname:"Chauhan",slug:"parth-chauhan",fullName:"Parth Chauhan"}]},{id:"73386",title:"Island Migration, Resource Use, and Lithic Technology by Anatomically Modern Humans in Wallacea",slug:"island-migration-resource-use-and-lithic-technology-by-anatomically-modern-humans-in-wallacea",totalDownloads:742,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"Island migration and adaptation including both marine and terrestrial resource use and technological development by anatomically modern humans (AMH) are among the most significant issues for Pleistocene archaeology in Southeast Asia and Oceania, and directly related to the behavioral and technological advancements by AMH. This paper discusses such cases in the Wallacean islands, located between the past Sundaland and the Sahul continent during the Pleistocene. The Pleistocene open sea gaps between the Wallacean islands and both landmasses are very likely the major factor for the relative scarcity of animal species originating from Asia and Oceania and the high diversity of endemic species in Wallacea. They were also a barrier for hominin migration into the Wallacean islands and Sahul continent. We summarize three recent excavation results on the Talaud Islands, Sulawesi Island and Mindoro Island in Wallacea region and discuss the evidence and timeline for migrations of early modern humans into the Wallacean islands and their adaptation to island environments during the Pleistocene.",book:{id:"9251",slug:"pleistocene-archaeology-migration-technology-and-adaptation",title:"Pleistocene Archaeology",fullTitle:"Pleistocene Archaeology - Migration, Technology, and Adaptation"},signatures:"Rintaro Ono, Alfred Pawlik and Riczar Fuentes",authors:[{id:"177123",title:"Dr.",name:"Rintaro",middleName:null,surname:"Ono",slug:"rintaro-ono",fullName:"Rintaro Ono"},{id:"300616",title:"Dr.",name:"Alfred",middleName:null,surname:"Pawlik",slug:"alfred-pawlik",fullName:"Alfred Pawlik"},{id:"330591",title:"Dr.",name:"Riczar",middleName:null,surname:"Fuentes",slug:"riczar-fuentes",fullName:"Riczar Fuentes"}]}],onlineFirstChaptersFilter:{topicId:"263",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"June 29th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:32,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"14",title:"Cell and Molecular Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",isOpenForSubmission:!0,editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",slug:"rosa-maria-martinez-espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",biography:"Dr. Rosa María Martínez-Espinosa has been a Spanish Full Professor since 2020 (Biochemistry and Molecular Biology) and is currently Vice-President of International Relations and Cooperation development and leader of the research group 'Applied Biochemistry” (University of Alicante, Spain). Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. Dr. Beydemir is also Rector of Bilecik Şeyh Edebali University, Turkey.",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",slug:"deniz-ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",biography:"Dr. Deniz Ekinci obtained a BSc in Chemistry in 2004, MSc in Biochemistry in 2006, and PhD in Biochemistry in 2009 from Atatürk University, Turkey. He studied at Stetson University, USA, in 2007-2008 and at the Max Planck Institute of Molecular Cell Biology and Genetics, Germany, in 2009-2010. Dr. Ekinci currently works as a Full Professor of Biochemistry in the Faculty of Agriculture and is the Head of the Enzyme and Microbial Biotechnology Division, Ondokuz Mayıs University, Turkey. He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. Dr. Ekinci serves as the Editor in Chief of four international books and is involved in the Editorial Board of several international journals.",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null},{id:"17",title:"Metabolism",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",isOpenForSubmission:!0,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. His teaching areas are energy metabolism and regulation, integration and organ specialization and metabolic adaptation.",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null},{id:"18",title:"Proteomics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",isOpenForSubmission:!0,editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",slug:"paolo-iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",biography:"Paolo Iadarola graduated with a degree in Chemistry from the University of Pavia (Italy) in July 1972. He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. He is a Consultant Reviewer for several journals, including the Journal of Chromatography A, Journal of Chromatography B, Plos ONE, Proteomes, International Journal of Molecular Science, Biotech, Electrophoresis, and others. He is also Associate Editor of Biotech.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",slug:"simona-viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",biography:"Simona Viglio is an Associate Professor of Biochemistry at the Department of Molecular Medicine at the University of Pavia. She has been working since 1995 on the determination of proteolytic enzymes involved in the degradation process of connective tissue matrix and on the identification of biological markers of lung diseases. She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. She is an author of about 90 publications (According to Scopus: H-Index: 23; According to WOS: H-Index: 20) on peer-reviewed journals, a member of the “Società Italiana di Biochimica e Biologia Molecolare,“ and a Consultant Reviewer for International Journal of Molecular Science, Journal of Chromatography A, COPD, Plos ONE and Nutritional Neuroscience.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null}]},overviewPageOFChapters:{paginationCount:36,paginationItems:[{id:"82195",title:"Endoplasmic Reticulum: A Hub in Lipid Homeostasis",doi:"10.5772/intechopen.105450",signatures:"Raúl Ventura and María Isabel Hernández-Alvarez",slug:"endoplasmic-reticulum-a-hub-in-lipid-homeostasis",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Updates on Endoplasmic Reticulum",coverURL:"https://cdn.intechopen.com/books/images_new/11674.jpg",subseries:{id:"14",title:"Cell and Molecular Biology"}}},{id:"82409",title:"Purinergic Signaling in Covid-19 Disease",doi:"10.5772/intechopen.105008",signatures:"Hailian Shen",slug:"purinergic-signaling-in-covid-19-disease",totalDownloads:5,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Purinergic System",coverURL:"https://cdn.intechopen.com/books/images_new/10801.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"82374",title:"The Potential of the Purinergic System as a Therapeutic Target of Natural Compounds in Cutaneous Melanoma",doi:"10.5772/intechopen.105457",signatures:"Gilnei Bruno da Silva, Daiane Manica, Marcelo Moreno and Margarete Dulce Bagatini",slug:"the-potential-of-the-purinergic-system-as-a-therapeutic-target-of-natural-compounds-in-cutaneous-mel",totalDownloads:10,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Purinergic System",coverURL:"https://cdn.intechopen.com/books/images_new/10801.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"82103",title:"The Role of Endoplasmic Reticulum Stress and Its Regulation in the Progression of Neurological and Infectious Diseases",doi:"10.5772/intechopen.105543",signatures:"Mary Dover, Michael Kishek, Miranda Eddins, Naneeta Desar, Ketema Paul and Milan Fiala",slug:"the-role-of-endoplasmic-reticulum-stress-and-its-regulation-in-the-progression-of-neurological-and-i",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Updates on Endoplasmic Reticulum",coverURL:"https://cdn.intechopen.com/books/images_new/11674.jpg",subseries:{id:"14",title:"Cell and Molecular Biology"}}}]},overviewPagePublishedBooks:{paginationCount:32,paginationItems:[{type:"book",id:"7006",title:"Biochemistry and Health Benefits of Fatty Acids",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7006.jpg",slug:"biochemistry-and-health-benefits-of-fatty-acids",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Viduranga Waisundara",hash:"c93a00abd68b5eba67e5e719f67fd20b",volumeInSeries:1,fullTitle:"Biochemistry and Health Benefits of Fatty Acids",editors:[{id:"194281",title:"Dr.",name:"Viduranga Y.",middleName:null,surname:"Waisundara",slug:"viduranga-y.-waisundara",fullName:"Viduranga Y. Waisundara",profilePictureURL:"https://mts.intechopen.com/storage/users/194281/images/system/194281.jpg",biography:"Dr. Viduranga Waisundara obtained her Ph.D. in Food Science\nand Technology from the Department of Chemistry, National\nUniversity of Singapore, in 2010. She was a lecturer at Temasek Polytechnic, Singapore from July 2009 to March 2013.\nShe relocated to her motherland of Sri Lanka and spearheaded the Functional Food Product Development Project at the\nNational Institute of Fundamental Studies from April 2013 to\nOctober 2016. She was a senior lecturer on a temporary basis at the Department of\nFood Technology, Faculty of Technology, Rajarata University of Sri Lanka. She is\ncurrently Deputy Principal of the Australian College of Business and Technology –\nKandy Campus, Sri Lanka. She is also the Global Harmonization Initiative (GHI)",institutionString:"Australian College of Business & Technology",institution:null}]},{type:"book",id:"6820",title:"Keratin",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6820.jpg",slug:"keratin",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Miroslav Blumenberg",hash:"6def75cd4b6b5324a02b6dc0359896d0",volumeInSeries:2,fullTitle:"Keratin",editors:[{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}}]},{type:"book",id:"7978",title:"Vitamin A",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7978.jpg",slug:"vitamin-a",publishedDate:"May 15th 2019",editedByType:"Edited by",bookSignature:"Leila Queiroz Zepka, Veridiana Vera de Rosso and Eduardo Jacob-Lopes",hash:"dad04a658ab9e3d851d23705980a688b",volumeInSeries:3,fullTitle:"Vitamin A",editors:[{id:"261969",title:"Dr.",name:"Leila",middleName:null,surname:"Queiroz Zepka",slug:"leila-queiroz-zepka",fullName:"Leila Queiroz Zepka",profilePictureURL:"https://mts.intechopen.com/storage/users/261969/images/system/261969.png",biography:"Prof. Dr. Leila Queiroz Zepka is currently an associate professor in the Department of Food Technology and Science, Federal University of Santa Maria, Brazil. She has more than fifteen years of teaching and research experience. She has published more than 550 scientific publications/communications, including 15 books, 50 book chapters, 100 original research papers, 380 research communications in national and international conferences, and 12 patents. She is a member of the editorial board of five journals and acts as a reviewer for several national and international journals. 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Dr. Şentürk currently works as an professor of Biochemistry in the Department of Basic Pharmacy Sciences, Faculty of Pharmacy, Ağri Ibrahim Cecen University, Turkey. \nDr. Şentürk published over 120 scientific papers, reviews, and book chapters and presented several conferences to scientists. \nHis research interests span enzyme inhibitor or activator, protein expression, purification and characterization, drug design and synthesis, toxicology, and pharmacology. \nHis research work has focused on neurodegenerative diseases and cancer treatment. 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He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. He is a Consultant Reviewer for several journals, including the Journal of Chromatography A, Journal of Chromatography B, Plos ONE, Proteomes, International Journal of Molecular Science, Biotech, Electrophoresis, and others. He is also Associate Editor of Biotech.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",slug:"simona-viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",biography:"Simona Viglio is an Associate Professor of Biochemistry at the Department of Molecular Medicine at the University of Pavia. She has been working since 1995 on the determination of proteolytic enzymes involved in the degradation process of connective tissue matrix and on the identification of biological markers of lung diseases. She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. She is an author of about 90 publications (According to Scopus: H-Index: 23; According to WOS: H-Index: 20) on peer-reviewed journals, a member of the “Società Italiana di Biochimica e Biologia Molecolare,“ and a Consultant Reviewer for International Journal of Molecular Science, Journal of Chromatography A, COPD, Plos ONE and Nutritional Neuroscience.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,series:{id:"11",title:"Biochemistry"}}},seriesLanding:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"June 29th, 2022",hasOnlineFirst:!0,numberOfOpenTopics:4,numberOfPublishedChapters:318,numberOfPublishedBooks:32,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"14",title:"Cell and Molecular Biology",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression",scope:"The Cell and Molecular Biology topic within the IntechOpen Biochemistry Series aims to rapidly publish contributions on all aspects of cell and molecular biology, including aspects related to biochemical and genetic research (not only in humans but all living beings). We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. 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Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://mts.intechopen.com/storage/users/81926/images/system/81926.png",institutionString:"Suez Canal University",institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/52233",hash:"",query:{},params:{id:"52233"},fullPath:"/chapters/52233",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()