IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\n
By listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
All three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n
"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
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"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
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In conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n
“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\n
We invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\n
Feel free to share this news on social media and help us mark this memorable moment!
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\n
By listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
All three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n
"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n
"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\n
In conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n
“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\n
We invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\n
Feel free to share this news on social media and help us mark this memorable moment!
\n\n
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"6379",leadTitle:null,fullTitle:"Calibration and Validation of Analytical Methods - A Sampling of Current Approaches",title:"Calibration and Validation of Analytical Methods",subtitle:"A Sampling of Current Approaches",reviewType:"peer-reviewed",abstract:'This book seeks to introduce the reader to current methodologies in analytical calibration and validation. This collection of contributed research articles and reviews addresses current developments in the calibration of analytical methods and techniques and their subsequent validation. Section 1, "Introduction," contains the Introductory Chapter, a broad overview of analytical calibration and validation, and a brief synopsis of the following chapters. Section 2 "Calibration Approaches" presents five chapters covering calibration schemes for some modern analytical methods and techniques. The last chapter in this section provides a segue into Section 3, "Validation Approaches," which contains two chapters on validation procedures and parameters. This book is a valuable source of scientific information for anyone interested in analytical calibration and validation.',isbn:"978-1-78923-085-7",printIsbn:"978-1-78923-084-0",pdfIsbn:"978-1-83881-442-7",doi:"10.5772/intechopen.69918",price:119,priceEur:129,priceUsd:155,slug:"calibration-and-validation-of-analytical-methods-a-sampling-of-current-approaches",numberOfPages:174,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"b2accb70a1680c9d57a55484a1852a10",bookSignature:"Mark T. Stauffer",publishedDate:"April 25th 2018",coverURL:"https://cdn.intechopen.com/books/images_new/6379.jpg",numberOfDownloads:25033,numberOfWosCitations:49,numberOfCrossrefCitations:39,numberOfCrossrefCitationsByBook:4,numberOfDimensionsCitations:82,numberOfDimensionsCitationsByBook:7,hasAltmetrics:1,numberOfTotalCitations:170,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"June 14th 2017",dateEndSecondStepPublish:"July 5th 2017",dateEndThirdStepPublish:"October 1st 2017",dateEndFourthStepPublish:"December 30th 2017",dateEndFifthStepPublish:"February 28th 2018",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"97565",title:"Dr.",name:"Mark",middleName:"Thomas",surname:"Stauffer",slug:"mark-stauffer",fullName:"Mark Stauffer",profilePictureURL:"https://mts.intechopen.com/storage/users/97565/images/4821_n.jpg",biography:"Mark T. Stauffer was born in 1957. He graduated in Chemistry from the University of Pittsburgh in 1979, worked in industry for 12 years, and returned to Pitt, receiving a PhD in Chemistry in 1998. He joined the chemistry faculty at Pitt-Greensburg in 2001, receiving tenure in 2007. Since 2001, he collaborated on projects in archaeology, foods, test kit evaluation, mine drainage, and data analysis. He and his coauthors presented over 100 papers and posters at technical conferences and published 13 papers in peer-reviewed journals. He presents a short course on analytical data treatment at the annual Pittcon analytical chemistry conference. He conveys his enthusiasm for research and teaching via mentoring undergraduate research and through his courses in analytical chemistry.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"3",institution:{name:"University of Pittsburgh at Greensburg",institutionURL:null,country:{name:"United States of America"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"481",title:"Instrumental Chemistry",slug:"instrumental-chemistry"}],chapters:[{id:"59895",title:"Introductory Chapter: The Many Faces of Calibration and Validation in Analytical Methodology in the Present Day",doi:"10.5772/intechopen.75304",slug:"introductory-chapter-the-many-faces-of-calibration-and-validation-in-analytical-methodology-in-the-p",totalDownloads:2872,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Mark T. Stauffer",downloadPdfUrl:"/chapter/pdf-download/59895",previewPdfUrl:"/chapter/pdf-preview/59895",authors:[{id:"97565",title:"Dr.",name:"Mark",surname:"Stauffer",slug:"mark-stauffer",fullName:"Mark Stauffer"}],corrections:null},{id:"58230",title:"Analytical Calibrations: Schemes, Manuals, and Metrological Deliberations",doi:"10.5772/intechopen.72580",slug:"analytical-calibrations-schemes-manuals-and-metrological-deliberations",totalDownloads:1407,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Chemical measurement processes (CMPs) must be performed in a setup of controlled statistical conditions. Thus, validation of such a measurement process and assessment of its ability to accurately measure the analyte is important. Analytical calibration is the most crucial step in any analytical procedure targeting the estimation of analyte concentration. As a key component of any validation procedure, calibration must be properly conducted. To achieve that, firm knowledge with the realms of the calibration process must exist. Several jurisdictions help to build up this acquaintance, including the terminology and definitions, the international guidelines and how they differ, schemes and manuals to be used to build a calibration model, metrological considerations, and assessment procedures. Careful thinking prior to any of the previous calibration aspects is necessary and helps to improve the product of the calibration process. Throughout this chapter, aspects of the calibration assembly will be thoroughly discussed. Different types of calibration will be revealed with a focus on analytical calibration for a CMP. Steps for a successful calibration will be described. The reader will be able to use information given throughout this chapter as a guide for an effective calibration process.",signatures:"Marwa S. El-Azazy",downloadPdfUrl:"/chapter/pdf-download/58230",previewPdfUrl:"/chapter/pdf-preview/58230",authors:[{id:"198210",title:"Associate Prof.",name:"Marwa",surname:"El-Azazy",slug:"marwa-el-azazy",fullName:"Marwa El-Azazy"}],corrections:null},{id:"58394",title:"Multivariate Calibration for the Development of Vibrational Spectroscopic Methods",doi:"10.5772/intechopen.72598",slug:"multivariate-calibration-for-the-development-of-vibrational-spectroscopic-methods",totalDownloads:1369,totalCrossrefCites:1,totalDimensionsCites:6,hasAltmetrics:0,abstract:"Vibrational spectroscopy, namely near infrared (NIR) and Raman spectroscopy, is based on the interaction between the electromagnetic radiation and matter. The technique is sensitive to chemical and physical properties and delivers a wide range of information about the analyzed sample, but in order to extract the information, multivariate calibration of the spectral data is required. The main goal of this work will be to present in detail the available multivariate calibration strategy for development of NIR and Raman spectroscopic methods, which was successfully applied in pharmaceutics.",signatures:"Ioan Tomuta, Alina Porfire, Tibor Casian and Alexandru Gavan",downloadPdfUrl:"/chapter/pdf-download/58394",previewPdfUrl:"/chapter/pdf-preview/58394",authors:[{id:"188989",title:"Prof.",name:"Ioan",surname:"Tomuta",slug:"ioan-tomuta",fullName:"Ioan Tomuta"},{id:"202435",title:"Dr.",name:"Alina",surname:"Porfire",slug:"alina-porfire",fullName:"Alina Porfire"},{id:"214519",title:"Mr.",name:"Tibor",surname:"Casian",slug:"tibor-casian",fullName:"Tibor Casian"},{id:"214520",title:"Mr.",name:"Alexandru",surname:"Gavan",slug:"alexandru-gavan",fullName:"Alexandru Gavan"}],corrections:null},{id:"60447",title:"Internal Standards for Absolute Quantification of Large Molecules (Proteins) from Biological Matrices by LC-MS/MS",doi:"10.5772/intechopen.75569",slug:"internal-standards-for-absolute-quantification-of-large-molecules-proteins-from-biological-matrices-",totalDownloads:1539,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Internal standardization plays a critical role in the performance of a bioanalytical method. There has been a tremendous increase in the popularity of using liquid chromatography tandem mass spectrometry (LC-MS/MS) methods for quantitative bioanalysis of protein molecules. Protein, being too large to be directly analyzed by LC-MS/MS, is proteolyzed and a characteristic peptide is used as a surrogate analyte for quantification. Internal standardization in small molecules’ analysis is straightforward, i.e., either a stable labeled isotope (SIL) form of the analyte or a structural analogue is used. As protein quantification involves protein digestion to yield peptides, there are more options for internal standardization. Currently, internal standard selection is based on the availability of the internal standards and the sample preparation workflow. A SIL-form of the analyte protein is the ideal internal standard. However, its use is limited due to cost and commercial availability. Alternatively, a SIL form the surrogate peptide analyte or a cleavable SIL-peptide can be used as an IS. For preclinical bioanalysis of humanized IgG antibody-based drugs, a universal SIL analogue protein has been effectively used as an internal standard. This chapter focuses on internal standardization for the quantitative analysis of proteins, such as biotherapeutics and biomarkers, using LC-MS/MS.",signatures:"Morse Faria and Matthew S. Halquist",downloadPdfUrl:"/chapter/pdf-download/60447",previewPdfUrl:"/chapter/pdf-preview/60447",authors:[{id:"216265",title:"Dr.",name:"Matthew",surname:"Halquist",slug:"matthew-halquist",fullName:"Matthew Halquist"},{id:"216266",title:"Dr.",name:"Morse",surname:"Faria",slug:"morse-faria",fullName:"Morse Faria"}],corrections:null},{id:"58688",title:"Calibration Methods of Laser-Induced Breakdown Spectroscopy",doi:"10.5772/intechopen.72888",slug:"calibration-methods-of-laser-induced-breakdown-spectroscopy",totalDownloads:1686,totalCrossrefCites:3,totalDimensionsCites:9,hasAltmetrics:0,abstract:"Laser-induced breakdown spectroscopy (LIBS) has gained great attention over the past two decades due to its many advantages, such as needless sample preparation, capability of remote measurement and fast multielement simultaneous analysis. However, because of its inherent uncertainty features of plasma, it is still a big challenge for LIBS community worldwide to realize high sensitivity and accurate quantitative analysis. Currently, many chemometric analytical methods have been applied to LIBS calibration analysis, including univariate regression, multivariate regression, principal component regression (PCR), partial least squares regression (PLSR) and so on. In addition, appropriate sample and spectral pretreatment can effectively improve the analytical performance (i.e., limit of detection (LOD), accuracy and repeatability) of LIBS. In this chapter, we briefly summarize the progress of these calibration methods and their applications on LIBS and provide our recommendations.",signatures:"Hongbo Fu, Junwei Jia, Huadong Wang, Zhibo Ni and Fengzhong\nDong",downloadPdfUrl:"/chapter/pdf-download/58688",previewPdfUrl:"/chapter/pdf-preview/58688",authors:[{id:"69003",title:"Prof.",name:"Fengzhong",surname:"Dong",slug:"fengzhong-dong",fullName:"Fengzhong Dong"},{id:"235868",title:"Dr.",name:"Hongbo",surname:"Fu",slug:"hongbo-fu",fullName:"Hongbo Fu"},{id:"235869",title:"Mr.",name:"Junwei",surname:"Jia",slug:"junwei-jia",fullName:"Junwei Jia"},{id:"235870",title:"Ph.D. Student",name:"Huadong",surname:"Wang",slug:"huadong-wang",fullName:"Huadong Wang"},{id:"235873",title:"Dr.",name:"Zhibo",surname:"Ni",slug:"zhibo-ni",fullName:"Zhibo Ni"}],corrections:null},{id:"58596",title:"Linearity of Calibration Curves for Analytical Methods: A Review of Criteria for Assessment of Method Reliability",doi:"10.5772/intechopen.72932",slug:"linearity-of-calibration-curves-for-analytical-methods-a-review-of-criteria-for-assessment-of-method",totalDownloads:7983,totalCrossrefCites:19,totalDimensionsCites:42,hasAltmetrics:1,abstract:"Calibration curve is a regression model used to predict the unknown concentrations of analytes of interest based on the response of the instrument to the known standards. Some statistical analyses are required to choose the best model fitting to the experimental data and also evaluate the linearity and homoscedasticity of the calibration curve. Using an internal standard corrects for the loss of analyte during sample preparation and analysis provided that it is selected appropriately. After the best regression model is selected, the analytical method needs to be validated using quality control (QC) samples prepared and stored in the same temperature as intended for the study samples. Most of the international guidelines require that the parameters, including linearity, specificity, selectivity, accuracy, precision, lower limit of quantification (LLOQ), matrix effect and stability, be assessed during validation. Despite the highly regulated area, some challenges still exist regarding the validation of some analytical methods including methods when no analyte-free matrix is available.",signatures:"Seyed Mojtaba Moosavi and Sussan Ghassabian",downloadPdfUrl:"/chapter/pdf-download/58596",previewPdfUrl:"/chapter/pdf-preview/58596",authors:[{id:"216099",title:"Dr.",name:"Sussan",surname:"Ghassabian",slug:"sussan-ghassabian",fullName:"Sussan Ghassabian"},{id:"216101",title:"Mr.",name:"Seyed Mojtaba",surname:"Moosavi",slug:"seyed-mojtaba-moosavi",fullName:"Seyed Mojtaba Moosavi"}],corrections:null},{id:"57909",title:"Validation of Analytical Methods",doi:"10.5772/intechopen.72087",slug:"validation-of-analytical-methods",totalDownloads:6881,totalCrossrefCites:13,totalDimensionsCites:20,hasAltmetrics:1,abstract:"Method validation is a key element in the establishment of reference methods and within the assessment of a laboratory’s competence in generating dependable analytical records. Validation has been placed within the context of the procedure, generating chemical data. Analytical method validation, thinking about the maximum relevant processes for checking the best parameters of analytical methods, using numerous relevant overall performance indicators inclusive of selectivity, specificity, accuracy, precision, linearity, range, limit of detection (LOD), limit of quantification (LOQ), ruggedness, and robustness are severely discussed in an effort to prevent their misguided utilization and ensure scientific correctness and consistency among publications.",signatures:"Tentu Nageswara Rao",downloadPdfUrl:"/chapter/pdf-download/57909",previewPdfUrl:"/chapter/pdf-preview/57909",authors:[{id:"220824",title:"Dr.",name:"Tentu",surname:"Nageswara Rao",slug:"tentu-nageswara-rao",fullName:"Tentu Nageswara Rao"}],corrections:null},{id:"57781",title:"Method Validation Approaches for Pharmaceutical Assessments – Highlights with High Performance Thin Layer Chromatographic (HPTLC) Techniques",doi:"10.5772/intechopen.71765",slug:"method-validation-approaches-for-pharmaceutical-assessments-highlights-with-high-performance-thin-la",totalDownloads:1296,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Method validation is an important activity for pharmaceutical evaluations to ensure that analytical methods are suitable for their intended use. With particular focus on active ingredient and impurities, the implementation of different categories of method validation are explained for qualitative and quantitative methods. Detailed explanations with example approaches are provided for the key aspects of method validation, namely specificity, accuracy, linearity, limits of detection/quantitation, precision, robustness, and method range. While all of the sections outlined for method validation are generally applicable for a variety of techniques commonly used in pharmaceutical analysis (i.e., UV and HPLC instrumentation), focused attention is provided for examples that have been implemented using high performance thin layer chromatographic techniques.",signatures:"David Jenkins, Cherif Diallo, Ed Bethea, Eliangiringa Kaale and\nThomas Layloff",downloadPdfUrl:"/chapter/pdf-download/57781",previewPdfUrl:"/chapter/pdf-preview/57781",authors:[{id:"215717",title:"Ph.D.",name:"David",surname:"Jenkins",slug:"david-jenkins",fullName:"David Jenkins"},{id:"216020",title:"Dr.",name:"Cherif",surname:"Diallo",slug:"cherif-diallo",fullName:"Cherif Diallo"},{id:"216021",title:"Mr.",name:"Ed",surname:"Bethea",slug:"ed-bethea",fullName:"Ed Bethea"},{id:"216024",title:"Prof.",name:"Eliangiringa",surname:"Kaale",slug:"eliangiringa-kaale",fullName:"Eliangiringa Kaale"},{id:"216026",title:"Dr.",name:"Thomas",surname:"Layloff",slug:"thomas-layloff",fullName:"Thomas Layloff"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"5283",title:"Applications of Molecular Spectroscopy to Current Research in the Chemical and Biological Sciences",subtitle:null,isOpenForSubmission:!1,hash:"5d879e015ea226a3cf4633c0a187c830",slug:"applications-of-molecular-spectroscopy-to-current-research-in-the-chemical-and-biological-sciences",bookSignature:"Mark T. 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\r\n\tCitrus fruits are of great importance in human nutrition, agriculture, and the global fruit trade. Worldwide, citrus different species together exceed 150 million tons produced annually.
\r\n
\r\n\tIn this book, several topics related to citrus research will be covered. In the citrus physiology topic, aspects of photosynthesis, vegetative growth, flowering, fruiting, and fruit growth will be presented. In abiotic and biotic stress in citrus production, related aspects to the response of citrus plants to different pests and diseases will be addressed, as well as salinity, water stress, and the various environmental changes promoted by global climate change, among others.
\r\n
\r\n\tIn the topic of citrus production technology, horticultural techniques involved in citrus production system optimization for industry and fresh consumption are going to be discussed. Regarding citrus cultivars and breeding topics, scion and rootstock cultivars will be presented, as well as citrus breeding techniques and methods. Fruit quality, postharvest technology, flavor, and bioactive compounds will also be addressed in this book.
",isbn:"978-1-80355-805-9",printIsbn:"978-1-80355-804-2",pdfIsbn:"978-1-80355-806-6",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"489ee824f8960f8638064b3fa5cd6b7f",bookSignature:"Dr. Mateus Pereira Pereira Gonzatto and Dr. Júlia Scherer Santos",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11629.jpg",keywords:"Photosynthesis, Vegetative Development, Flowering, Fruiting, Fruit Growth, Orchard Management, Pruning, Thinning, Plant Growth Regulators, Tree Size Control, Weed Control, Mineral Nutrition",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"January 25th 2022",dateEndSecondStepPublish:"February 22nd 2022",dateEndThirdStepPublish:"April 23rd 2022",dateEndFourthStepPublish:"July 12th 2022",dateEndFifthStepPublish:"September 10th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"4 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Dr. Mateus is a Professor of Citrus and Mango Ecophysiology, Department of Agronomy, Federal University of Viçosa (UFV), Brazil. He researches topics such as citriculture, scion/rootstock interactions, integrating, plant growth regulators, biostimulants, fruit thinning, fruit maturation, and orchard management.",coeditorOneBiosketch:"Dr. Júlia Scherer Santos is graduated in Pharmacy and has a doctorate in Pharmaceutical Nanotechnology. She works mainly on the following subjects: nanotechnology, cosmetology, pharmaceutical technology, aesthetics.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"308875",title:"Dr.",name:"Mateus Pereira",middleName:"Pereira",surname:"Gonzatto",slug:"mateus-pereira-gonzatto",fullName:"Mateus Pereira Gonzatto",profilePictureURL:"https://mts.intechopen.com/storage/users/308875/images/system/308875.png",biography:"Professor Mateus is graduated in Agronomy (2006). He has a Master Degree (2009) and PhD. (2015) in Agronomy/Horticultural Science from Federal University of Rio Grande do Sul (UFRGS). 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1.\tIntroduction
\n
Sickle cell anemia is caused by an A to T point mutation in the sixth codon of the β-globin (HBB) gene on chromosome 11 leading to the production of hemoglobin S (HbSS) during adult development. When the sickle mutation is combined with one of over 400 additional mutations reported in the HBB locus, different subtypes of sickle cell disease (SCD) are produced. For example, heterozygosity for the sickle HBB gene and hemoglobin C produces HbSC disease [1]. A definitive diagnosis of SCD can be made by hemoglobin electrophoresis, isoelectric focusing, or high-performance liquid chromatography. However, DNA testing is required to detect the presence of β-thalassemia mutations, which when inherited with the sickle HBB causes HbS-β0-thalassemia and HbSβ+-thalassemia.
\n
About one in 500 African-American and one in 36,000 Hispanic-American children are born with SCD disease [2], which is diagnosed at birth by newborn screening in the United States. The carrier state or sickle cell trait is detected in 1:13 African Americans and 1:100 Hispanic Americans [3] with an estimated 2.5 million Americans with sickle cell trait [4]. Worldwide about 3.2 million people have SCD and 43 million have sickle cell trait [5] with 80% occurring in sub-Saharan Africa mainly as a protective mechanism against malaria. Moreover, the HBB sickle mutation also occurs in Europe, India, the Arabian Peninsula, and Brazil [6].
\n
Hemoglobin is a tetrameric protein, composed of two α-like and two β-like globin polypeptide chains, which transports oxygen to the body tissues. During human development, two switches in the type of hemoglobin synthesized occur, a process known as hemoglobin switching [1]. The first switch at 6–8 weeks of development involves ε-globin gene silencing and activation of the HBG2 and HBG1 genes throughout fetal erythropoiesis, during which Gγ-globin and Aγ-globin fetal hemoglobin (HbF; α2γ2) are produced. The second switch occurs shortly after birth when the HBG1/HBG2 genes are silenced and HBB is activated. HbF levels decline to <1% of total hemoglobin by 6–12 months of age [7], and HbF is restricted to a population of erythrocytes called F-cells [8]. During hemoglobin switching, the site of hematopoiesis moves from the yolk sac to the liver/spleen and finally the bone marrow, which becomes the main site of hematopoiesis where adult hemoglobin A (HbA, α2β2) is produced in healthy individuals [1]. As the level of HbF decreases around 5–6 months of age, the clinical symptoms of SCD are observed due to high HbS levels and polymerization under deoxygenated conditions producing sickle-shaped red blood cells (RBCs), vascular occlusion, and tissue ischemia. Therefore, precision medicine based on genetic or pharmacologic approaches to maintain high HbF levels is a proven efficacious strategy to treat SCD.
\n
\n
2.\tClinical manifestations of sickle cell disease
\n
Over the last 30 years, survival in people living with SCD has improved significantly due to decreased death rates during infancy. However, morbidity remains high due to central nervous system and pulmonary complications during childhood and end-organ damage in adults [9, 10]. The average life expectancy of people with SCD is 50 years in the United States [11]. Individuals with SCD experience a chronic hemolytic anemia caused by HbS polymerization under deoxygenated conditions, which [12] produces RBC membrane damage and a shortened life span of 14–21 days. As a result, HbSS patients have an average hemoglobin level of 6–8 g/dL with an elevated reticulocyte count and plasma lactate dehydrogenase level [13]. Furthermore, the damaged membrane leads to inflexible and dehydrated sickled RBCs and abnormal adhesion to the vascular endothelium producing the vasculopathy observed in persons with SCD [13].
\n
The most common pathophysiology of SCD is vaso-occlusive (VOC) events produced by tissue ischemia leading to pain and acute or chronic injury to the spleen, brain, lungs, kidneys, and bones [13]. Individuals with a severe SCD sub-phenotype have more frequent VOC events, a higher white blood cell count, a lower HbF level, and increased blood vessel flow resistance under deoxygenation conditions [14–16]. The most common clinical manifestation of SCD is acute painful episodes which occur mainly in the extremities, but can involve the abdomen, back, and chest [17, 18].
\n
As HbF falls below protective levels at around 6–12 months of age, dactylitis involving pain and swelling of the hands and feet is an early manifestation of SCD and is a risk factor for diseased severity [19]. Splenic sequestration occurs in 30% of children between the ages of 6 months to 3 years, which can cause severe life-threatening anemia and death if not treated promptly. Over time, repeated episodes of VOC in the spleen lead to infarction and a markedly increased risk for infection due to encapsulated bacteria such as Streptococcus pneumonia, Haemophilus influenza, and Staphylococcus aureus among others [20]. To address this significant cause of early mortality, the Prophylactic Penicillin Study I was conducted which demonstrated the ability of prophylactic penicillin to decrease overwhelming sepsis by 90% and improved survival among infants with SCD [21]. This study provided the rationale for establishing newborn screening for SCD in the late 1980s to facilitate the initiation of penicillin prophylaxis in the first few months of life to protect against infection and prevent early mortality. Penicillin prophylaxis has become the standard of care worldwide.
\n
Other types of VOC events include acute chest syndrome [22, 23], silent and acute cerebral infarcts [24, 25], and osteonecrosis of the femoral head. Episodes of acute chest syndrome can be caused by pulmonary VOC, infection, and/or fat emboli from bone marrow infarcts [22]. Long-term damage in the lungs can precede pulmonary hypertension [26] in older children and adults with SCD causing high morbidity and mortality. By adolescents, 50% of individuals with SCD suffer silent cerebral infarcts [27] and 10% of children over the age of 2 experience overt strokes requiring chronic transfusions [28, 29]. The process of VOC can affect any organ system producing a wide variety of complications in SCD involving the heart, liver, gall bladder, kidney, and skin [30].
\n
\n
3. Treatment of vaso-occlusive complications
\n
Blood transfusions are the mainstay of therapy for individuals suffering from acute and chronic complications of SCD. Red blood cell transfusions improve the oxygen-carrying capacity and prevent sickling by decreasing the HbS level to <30% of total hemoglobin [31–33]. Transfusions are also used for the acute exacerbation of anemia associated with splenic sequestration and aplastic crisis caused by Parvo B19 virus infection [34]. The most common symptom in persons with SCD is acute and chronic pain due to tissue ischemia, which is correlated with long-term survival [35]. Therefore, early aggressive treatment of pain episodes to prevent complications is the standard of care [36]. Recent research has provided insights into mechanisms of pain related to tissue injury (nociceptive), nerve injury (neuropathic), or unknown causes (idiopathic). Effective pain treatment is most often achieved using opioid narcotics combined with nonsteroidal anti-inflammatory drug.
\n
To address the long-term effects of repeated pain episodes, extensive research has been conducted to develop drugs that induce HbF, which inhibits HbS polymerization [37] to improve the clinical symptoms of SCD. Based on findings in the Multicenter Study of Hydroxyurea [38], this agent is the only Food and Drug Administration-approved drug for the treatment of adults with SCD [39]. Subsequent studies in children including BABY HUG demonstrated that hydroxyurea (HU) is an effective HbF inducer and can be used safely in the first year of life [40]. Unfortunately, HU has a 30% nonresponse rate in adults, causes bone marrow suppression, and has detrimental effects on fertility [38, 41]. Therefore, the development of novel therapeutic agents based on inherited mutations that alter the expression of the HBG1/HBG2 genes to produce high HbF levels is desired to establish precision medicine for SCD.
\n
\n
4. Genetic modifiers of sickle cell disease severity
\n
While homozygosity for the βS-globin gene mutation (HBB; glu6val) causes sickle cell anemia, the clinical diversity of phenotypes and disease severity are similar to the manifestations of multigenic disorders. Intensive studies have been performed to identify genetic risk factors correlated with SCD complications such as stroke, leg ulcers, pulmonary artery hypertension, priapism, and osteonecrosis. To extend the findings of genome-wide association studies of single nucleotide polymorphisms (SNPs) linked with clinical phenotypes, more advanced genomic techniques including next-generation DNA sequencing provide new opportunities to define mechanisms of SCD complications. A comprehensive review of genetic studies conducted in SCD is beyond the scope of this chapter. Therefore, we focus our discussion on efforts to discover SNPs associated with the clinical sub-phenotypes of SCD including pain severity, acute chest syndrome, pulmonary hypertension, osteonecrosis, priapism, leg ulcers, and nephropathy.
\n
4.1. Vaso-occlusive pain
\n
SCD patients experience a wide variety of clinical pain ranging from acute mild/severe to persistent chronic pain. The underlying mechanisms of differences in pain rates are complex and likely involve a number of genetic polymorphisms in several biological systems. Studies have been conducted that provide insights into SNPs associated with the frequency and severity of pain in SCD. Jhun et al. [42] identified mutations in the dopamine D3 receptor (Ser9Gly heterozygotes) associated with a lower acute pain rate. The most commonly used opioid medications including codeine and hydrocodone require cytochrome P450 2D6 (CYP2D6) for drug activation, which can impact the efficacy of these agents. The CYP2D6 gene is highly polymorphic, with variant alleles that result in decreased, absent, or ultra-rapid metabolism [43]. Altered CYP2D6 enzymatic activity in CYP2D6*17 (reduced activity), CYP2D6*5 (gene deletion), and CYP2D6*4 (absent function) is correlated with the analgesic response to codeine and hydrocodone. Therefore, genotyping the CYP2D6 gene is a reasonable approach for developing personalized medicine for the treatment of pain in persons with SCD. Moreover, missense or frame-shift mutations in CYP2C9 decrease or abolish enzymatic activity, respectively, which impairs opioid activation [44, 45]. Likewise, an SNP in the promoter of the gene encoding the enzyme uridine 5′-diphospho (UDP)-glucuronosyltransferase 2B7 (−840G/A) responsible for morphine glucuronidation in the liver is associated with lower morphine metabolites in sickle cell patients suggesting that higher doses of morphine may be required to achieve adequate pain control [46].
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4.2. Acute chest syndrome/pulmonary hypertension
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Acute chest syndrome continues to contribute to significant morbidity and mortality in children and adults with SCD [47]; therefore, the discovery of genetic modifiers of this complication has the potential for high impact and the design of precision medicine. Redha et al. [48] investigated the association of the vascular endothelial growth factor A (VEGFA) 583C/T mutation with acute chest rates in children with SCD. The presence of the 583T/T genotype was associated with increased serum VEGF levels while the VEGFA 583C/T caused reduced VEGF serum levels.
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The rate of RBC hemolysis and release of free heme in the circulation are associated with clinical severity of SCD. Heme oxygenase-1 (HMOX1) is the inducible, rate-limiting enzyme in the catabolism of heme which attenuates the severity of VOC and hemolytic events. The (GT)(n) dinucleotide repeat in the promoter of HMOX1 is highly polymorphic, with long repeats linked to decreased gene activation. Bean et al. [49] examined two HMOX1 promoter polymorphisms including −413A/T and the (GT)(n) microsatellite (with allele (GT)(n) length from 13 to 45 repeats). The length of the (GT)(n) allele was associated with acute chest syndrome, but not pain rates in children with SCD.
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Over the last decade, numerous studies have been conducted to define risk factors associated with pulmonary artery hypertension [50, 51], which defines a severe sub-phenotype of SCD leading to premature death. SNPs in genes involved in the regulation of endothelial function, which alter the synthesis of the endothelium-derived vasodilators nitric oxide and prostacyclin, have been implicated [52]. An extended screen of 297 SNPs in 49 candidate genes [53] identified mutations in the transforming growth factor (TGF) superfamily including the activin A type II-like 1 receptor (ACVRL1), bone morphogenetic protein (BMP) receptor 2, bone morphogenetic protein 6, and the β-1 adrenergic receptor (ADRB1) associated with pulmonary artery hypertension. A multiple regression model using age and hemoglobin as covariates demonstrated that SNPs in ACVRL1, BMP6, and ADRB1 independently contribute to pulmonary hypertension risk. These findings offer promise for identifying patients at risk for this complication and developing novel therapeutic targets for SCD.
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A recent study by Al-Habboubi et al. [54] examined the association between VEGF secretion and VOC rates among 210 individuals with SCD. Mutations in VEGFA including rs2010963 heterozygous and rs833068 and rs3025020 homozygous states were associated with increased pain rates. Moreover, Yousry et al. [55] observed that the homozygous mutant eNOS 786T/T was significantly associated with a high risk of acute chest syndrome. By contrast, the wild-type eNOS 4a/4b genotype was protective against VOC and pulmonary hypertension while the homozygous haplotype (C, 4a) was significantly associated with the risk of VOC pain, acute chest syndrome, and pulmonary hypertension. Thus, eNOS SNPs may be useful as a genetic marker of prognostic value in SCD to predict a severe disease sub-phenotype.
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4.3. Cerebral vascular disease
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SCD is the most common cause of ischemic stroke occurring in 10% of children under 15 years of age; by contrast, hemorrhagic strokes are observed more commonly in adults over 30 years of age [56]. Genetic polymorphisms in multiple genes have been implicated in childhood stroke risk. For example, a mutation in vascular adhesion molecule-1 (VCAM1) including the G1238C in the coding region was protective and the intronic T1594C SNP predisposed to small-vessel stroke [57–59]. Mutations in the interleukin (IL)4R, tumor necrosis factor (TNF), and ADRB2 genes were found to be independently associated with stroke susceptibility in the large-vessel stroke subgroup, while SNPs in VCAM1 and LDLR NcoI genes were associated with small-vessel stroke risk [59]. Additional genes have been implicated in stroke risk such as the GT-repeat polymorphism in the angiotensinogen gene including alleles A3 and A4, which conferred a fourfold increase in risk [60]. Hoppe et al. [61] identified SNPs in the cystathionine-β-synthase (278thr) and the apoE3 genes that were associated with protection and increased risk for stroke, respectively.
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Ischemic stroke is common in children with SCD producing high morbidity and mortality. A meta-analysis by Sarecka-Hujar et al. [62] demonstrated the association of SNP 677C/T in the methylenetetrahydrofolate reductase gene with the risk of stroke. Abnormalities in the coagulation pathway have been implicated in the pathogenesis of cerebral bleeding. For example, protein Z, a vitamin K-dependent glycoprotein structurally related to the vitamin K-dependent coagulation factors, is devoid of catalytic activity and inhibits the generation of thrombin. Mahdi et al. [63] identified three SNPs in the protein Z gene promoter (rs3024718, rs3024719, and rs3024731) and one intronic SNP rs3024735 associated with stroke risk suggesting that reduced protein Z levels produced a procoagulant state and increased risk for thrombotic diseases including ischemic stroke. These studies provide evidence for genetic markers that can be used to assess stroke risk in SCD and targeted for therapeutic intervention.
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4.4. Osteonecrosis
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Repeated episodes of bone infarction caused by vaso-occlusive events precede osteonecrosis of the head of the femur and humerus, a disabling complication of SCD [64, 65]. The discovery of SNPs in genes involved in bone morphogenesis, metabolism, and vascular disease will identify individuals at high risk for osteonecrosis. Previously, 233 SNPs in seven genes including BMP6, TGFBR2, TGFBR3, EDN1, ERG, KL, and ECE1 were shown to be associated with this complication. There were 18 SNPs in the KL gene, which encodes the glycosyl hydrolase protein that participates in a negative regulatory network of vitamin D metabolism; moreover, 14 SNPs in BMP6 and six SNPs in ANXA2 were significantly associated with osteonecrosis [66]. A second research group [67] demonstrated the association of rs267196 (BMP6) and rs7170178 (ANXA2) with a higher risk of osteonecrosis. However, additional studies are needed to confirm if these markers are predictive of the clinical risk for this complication.
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4.5. Priapism
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Thirty percent of males with SCD experience the potentially devastating complication of priapism associated with a clinically severe disease sub-phenotype. Proteins involved in neuro-regulatory and adrenergic pathways, nitric oxide biology, and ion channels have been implicated in the pathophysiology of priapism [68–71]. More recently, clinical studies have identified genetic markers of priapism that produce erectile dysfunction and determine the ability to respond to phosphodiesterase inhibitors. Nolan et al. [72] identified SNPs in the KLOTHO gene including rs2249358, rs211239, rs211234, and rs211239 associated with an increased risk for priapism among 148 males with SCD. To support these findings, Elliott et al. [69] examined polymorphisms in a second group of adult male SCD patients with a 42% history of priapism. Mutations in the nitric oxide biology (NOS2, NOS3, and SLC4A1) and KLOTHO genes were associated with priapism risk providing further evidence for modulating nitric oxide levels as a therapy for this complication.
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4.6. Nephropathy
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Sickle nephropathy is a serious complication of SCD that can lead to renal failure and is rapidly becoming a major cause of death in adults. In view of the high medical burden and poor health outcome of end-stage renal disease, genetic markers of nephropathy risk are desirable. Youssry et al. [73] identified soluble FMS-like tyrosine kinase-1, a member of the vascular endothelial growth factor receptor family, as a biomarker for sickle nephropathy. In addition, Ashley-Koch et al. [53] demonstrated that the myosin, heavy chain 9, non-muscle (MYH9), and apolipoprotein L1 (APOL1) genes are associated with risk for focal segmental glomerulosclerosis and end-stage renal disease in African Americans. Seven SNPs in MYH9 and one in APOL1 remained significantly associated with proteinuria after multiple testing corrections. The causative role of these proteins in the development of sickle nephropathy needs to be tested further.
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4.7. Leg ulcers
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Cutaneous leg ulcers occur more often in adult sickle cell patients with low baseline hemoglobin levels and increased hemolysis rates indicated by high lactate dehydrogenase, bilirubin, and reticulocyte levels. The V34L G/T SNP (rs5985) in the factor XIII gene (F13A1) has been associated with leg ulcers [74]. Other studies have implicated factor V Leiden [75], the fibroblast growth factor receptor [76], and the HLA-B3525 antigen [77] in the pathogenesis of leg ulcers. A larger study involving 243 sickle cell patients [78] examined SNPS in 60 candidate genes that have a putative role in the pathophysiology of SCD. The association of SNPs in KLOTHO, TEK, and the TGF-β/BMP-signaling pathway was implicated in leg ulcer risk. Of these, KLOTHO promotes endothelial nitric oxide production and the TEK receptor tyrosine kinase is involved in angiogenesis. The TGF-β/BMP-signaling pathway modulates wound healing and angiogenesis, among other functions. Hemolysis-driven phenotypes such as leg ulcers could be improved by agents that increase nitric oxide bioavailability.
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5. Genetic modifiers of fetal hemoglobin
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5.1. HBB locus haplotypes
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Inherited genetic mutations that modulate HBG1/HBG2 gene expression enable persons with SCD to maintain high HbF levels, which ameliorates their clinical symptoms and long-term survival [17]. Individual SNPs inherited in set patterns define HBB haplotypes and determine the ancestral origin of the βS-globin gene mutation in different ethnic and racial groups. Five common haplotypes including Senegal, Benin, Central African Republic (Bantu), Cameroon, and Asian (Indian/Saudi-Arabian) have been identified [1]. HbF levels vary greatly among individuals with different and the same HBB haplotype, which has precluded the establishment of a consistent correlation between the two parameters. However, individuals with the Senegal haplotype generally have higher HbF levels and milder disease [79], whereas individuals with the Benin haplotype tend to have lower HbF levels and more severe disease [80]. To address this limitation, a genomic study by Liu et al. [81] established the complexity of the HBB locus providing insights into the challenges of defining distinct HBB haplotypes for the prediction of disease severity and the development of therapeutic strategies.
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5.2. Genome-wide association studies (GWAS)
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The normal switch from HbF to HbA synthesis occurs during the first year of life reaching adult levels of HbF <1% by 12 months of age. A group of disorders known as hereditary persistence of HbF expression is caused by inherited deletions in the HBB locus or point mutations in the promoter region of the HBG genes. HbF levels range from 10 to 40% depending on whether heterozygous or homogeneous mutations are inherited. To gain insights into loci outside the HBB locus that control HbF heritability, GWAS to identify quantitative trait loci were conducted [82]. Three major loci were discovered including the Xmn1-HBG2 (Gγ-globin) on chromosome 11, HBS1L-MYB intergenic region (HMIP) on chromosome 6q23, and BCL11A gene on chromosome 2p16 that control up to 40% of HbF variance in different populations [83]. These loci will be discussed subsequently in the context of the development of precision medicine for persons with SCD.
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5.3. Xmn1-HBG2
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In 1985, the C/T SNP at nucleotide −158 of the HBG2 gene (rs7482144; T/T) was shown to be associated with high HbF levels with an increase in HbF expressing erythrocytes or F-cells (Figure 1A), and a milder disease phenotype in persons with SCD and β-thalassemia [84]. The positive association between the rs7482144 minor alleles (C/T) and HbF levels was replicated in European and Native Indian populations. However, this SNP was not associated with HbF levels in the people of African ancestry [85]. By contrast, the rs7482144 (G/A) allele occurred at a higher frequency in sickle cell patients with the Senegal and Arab-Indian haplotypes suggesting that the A allele is associated with the geographical origin of the study population. The ancestry for African Americans with SCD showed a high degree of European, African, and Native American admixture at 39.6, 29.6, and 30.8%, respectively.
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Figure 1.
Summary of major single nucleotide polymorphisms (SNPs) associated with inherited genetic modifiers of HbF variance. Genome-wide genetic studies and GWAS identified SNPs associated with inherited levels of HbF in various ethnic and racial groups. Shown are SNPs in the HBB locus (A), the HBS1L-MYB intergenic region (B), and intron 2 of the BCL11A gene (C) associated with HBG regulation.
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5.4. HBS1L-MYB (HMIP) region
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Early studies conducted in a family of Asian Indian origin using segregation analysis demonstrated a modifier of HBG gene expression independent of the HBB locus [86]. Using a regressive model, a major locus was discovered on chromosome 6q23–q24 in the HMIP region. Of the three SNPs identified, only rs4895441 was significantly associated with HbF levels, explaining 9.2% of variance. Later studies showed an association of the other two SNPs, rs28384513 and rs9399137, with HbF levels in the Northern European population (Figure 1B). Subsequently, these SNPs were also demonstrated to control HbF expression in African American, Brazilian, African British, and Tanzanian sickle cell patients [87]. The minor allele frequency of rs9399137 (C) is most significantly associated with HbF expression, but is less common in African populations, with a frequency of 1–2% in African sickle cell patients without European admixture. Similarly, a 3-bp (TAC) deletion on chromosome 6q23 is common in non-African populations, whereas the minor allele of rs9399137 occurs at a higher frequency in African Americans with SCD and elevated HbF levels [88].
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5.5. BCL11A
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After the completion of the Human Genome Project and the development of genome-wide techniques, GWAS became the preferred approach to identify inherited genetic modifiers of disease phenotypes. The first GWAS to identify HbF modifiers utilized a selected genotyping study design, targeting 179 individuals with contrasting extremes of F-cell numbers [89]. The Xmn1-HBG2 and HMIP regions were identified along with a novel locus in the second intron of the oncogene BCL11A located at chromosome 2p16; the A allele of rs4671393 was associated with increased HbF levels. Subsequently, Uda et al. [90] confirmed SNPs in the BCL11A gene associated with high HbF in Sardinian thalassemia patients, establishing the first major repressor of HBG1/HBG2 gene expression (Figure 1C). The majority of GWAS to identify inherited HbF determinants in African Americans with SCD have been conducted using samples collected during the Cooperative Study of Sickle Cell Disease [91–94]. The first GWAS conducted by Solovieff et al. [93] confirmed the BCL11A SNP (rs766432) and identified a polymorphism in the ORB1B5/OR51B6 locus (rs4910755) associated with HbF levels in sickle cell patients (Figure 1A). A subsequent meta-analysis was conducted using GWAS data generated in seven African-American SCD cohorts totaling 2040 patients [95]. The most significant SNPs were identified in BCL11A (rs766432) and the HMIP region (rs9494145), which represented 11.1 and 3.2% of the phenotypic variability in HbF expression, respectively. Recently, the first GWAS was conducted in a Tanzanian population of 1213 individuals with SCD [96]. Similar to African Americans, SNPs in the BCL11A gene and the HMIP region were replicated in Tanzanians. Other studies have shown up to 10% of HbF variance associated with the BCL11A SNP rs4671393 in sickle cell patients from Northern Brazil (Figure 1C).
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5.6. Mechanism of regulating HBG expression
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Many decades of research have revealed that two types of mechanisms play a major role in modifying HbF levels: (1) direct transactivation of the HBG1/HBG2 genes through the Xmn1-HBG2 site or (2) an indirect effect on HBG1/HBG2 through the repression of silencers such as BCL11A or MYB. The Xmn1-HBG2 variant rs7482144 mediates a direct effect on Gγ-globin gene expression by functioning as a promoter [1]. By contrast, SNPs in the 14-kb second intron of BCL11A produces a strong enhancement of HbF expression. High levels of the short BCL11A isoform are associated with enhanced HbF expression in primitive erythroblasts, whereas full-length BCL11A isoforms are present in adult-stage erythroblasts when the HBG genes are silenced. BCL11A interacts with several DNA-binding proteins such as the corepressors LSD1/CoREST [97], DNMT1 [98], GATA1/FOG1/NuRD complex [99], and Sox6 [100] to facilitate γ-globin gene silencing through binding in the HbF-silencing region located upstream of the δ-globin gene [101]. Other studies have shown direct binding of BCL11A to a core motif 5′-GGCCGG-3″ in the HBG promoters to form a repressor complex in K562 cells [102]. Recently, an erythroid-specific enhancer was discovered in the second intron of BCL11A [103], which can be targeted to achieve lineage-specific gene silencing to achieve gene therapy for SCD directed at inhibiting BCL11A in erythroid progenitors.
SNPs known to modulate HbF levels and response to hydroxyurea therapy.
HbF, fetal hemoglobin; HU, hydroxyurea.
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The mechanism by which the HMIP region silences HBG expression is less clear. It is known that a 24-kb nonprotein-coding region exists between the HBS1L and MYB oncogenes. A recent study identified a distal regulatory locus HMIP 2, which contains a regulatory element composed of several GATA-1 motifs that coincided with DNaseI-hypersensitive sites associated with intergenic transcripts in erythroid precursor cells [104]. It was suggested that the HMIP 2 element might regulate MYB, which is a repressor of the HGB genes.
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5.7. Genetic modifiers of response to hydroxyurea therapy
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Data from the Multicenter Hydroxyurea Study [38] suggest that not all persons with SCD respond to HU treatment with increased HbF expression. Therefore, genetic markers to predict response to HU would support the development of precision medicine by limiting unnecessary exposure to a chemotherapy drug that causes bone marrow suppression and decreased fertility [41]. Although limited, studies have identified genetic modifiers of HbF response to HU. For example, SNPs in the ARG2, FLT1, HAO2, and NOS1 genes were associated with increased HbF expression based on HapMap data [105]. Interestingly, 29 genes involved in HU metabolism were located in loci previously reported to be linked to HbF levels including 6q22.3–q23.2, 8q11–q12, and Xp22.2–p22.3 [105, 106]. A novel bioinformatics method Random Forest was used to investigate the association between SNPs and the change in HbF after stable long-term HU therapy. SNPs in the ARG2, FLT1, HAO2, and NOS1 genes and 6q22.3–23.2 and 8q11–q12 regions were associated with the HbF response to HU [105]. A summary of the SNP-associated HBG expression at baseline or in response to HU treatment in sickle cell patients is shown in Table 1 [90-92, 94, 95, 107–111].
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5.8. MicroRNA-mediated control of HBG gene expression
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Recent studies have focused on posttranscriptional mechanisms of HBG regulation via microRNA (miRNA) gene expression. For example, Miller and colleagues [112] demonstrated the ability of LIN28 to silence miRNA let-7 to activate HbF in human primary erythroid progenitors. Likewise, miR-15a and miR-16-1 [113] enhance HBG expression through the inhibition of MYB expression. Studies by Walker et al. correlated miR-26b with baseline HbF levels and miR-151-3p expression with the maximal tolerated dose of HU in children with SCD [114].
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Other miRNAs have been implicated in HBG regulation including miR-96 [115], miR-486-3p, miR-210 [116], and miR-34a [117]. Recent studies demonstrated the preferential expression of miR-96 in adult erythroid cells and its ability to directly target the open-reading frame of γ-globin mRNA; the inhibition of miR-96 resulted in a 20% increase in γ-globin expression in erythroid progenitors [115]. BCL11A is directly targeted by miR-486-3p, and its overexpression reduces BCL11A levels followed by an increase in γ-globin expression [118]. The role of MYB as a repressor of γ-globin was demonstrated in children with trisomy 13 where increased miR-15a and miR-16 expression targets MYB expression directly to mediate high HbF levels [113]. By contrast, a subset of miRNAs has been shown to be associated with enhanced γ-globin expression. For example, miR-210 was elevated in a β-thalassemia patient with high HbF expression [116]. Similarly, the Pace group recently demonstrated the ability of miR-34a to exert a positive regulatory effect on the HBG1/HBG2 genes when stably expressed in K562 cells [117] suggesting that these miRNAs target repressor proteins. These studies demonstrate the potential of developing miRNAs as targets for precision medicine and the development of therapeutic options for individuals with SCD.
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6. Precision medicine for sickle cell disease
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Completion of the Human Genome Project greatly improved efforts to develop gene-based treatment strategies for β-hemoglobinopathies. Early efforts to identify genetic modifiers of clinical severity and sub-phenotypes of disease severity in SCD consisted of candidate gene studies. Insights were gleamed into risk factors for acute VOC pain events such as SNPs in the dopamine D3 receptor [42]. Expanded investigations to understand the wide range of opioid dose required by individual sickle cell patients led to the characterization of mutations in the CYP2D6 gene required for opioid activation and classification of slow, intermediate, and rapid metabolizers [43]. However, additional studies with larger sample sizes and/or direct DNA sequencing are required to develop gene markers of disease severity for the development of precision medicine to inform clinical decision making.
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A great urgency exists to identify genetic factors associated with risk for acute chest syndrome, the leading cause of morbidity and mortality in children and adults with SCD. Mutations in VEGF [48] and the HMOX1 [49] genes hold promise since they serve as markers of endothelial damage and hemolysis associated with the release of free heme in the vascular space, respectively. Long-term repeated episodes of acute chest syndrome can lead to pulmonary hypertension and early death. With a paucity of effective therapies for this complication, genetic markers that identify subgroups of sickle cell patients at risk will support efforts to develop precision medicine. For example, SNPs in the TGF superfamily of proteins and the ADRB1gene can be targeted for drug development to improve clinical outcomes. Likewise, SNPs in the eNOS genes [55] required for maintaining normal nitric oxide levels might serve as excellent targets for pharmacologic modulation. Interestingly, SNPs in the KLOTHO [72] and NOS2/NOS3 [69] genes have been associated with the occurrence of priapism in SCD. These observations suggest that developing drug therapy-targeting genes involved in nitric oxide regulation might treat multiple complications of SCD. Genome-wide studies involving next-generation DNA sequencing technology will move the field closer to achieving precision medicine in SCD.
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Based on the absence of clinical symptoms in infants and the amelioration of symptoms in persons with hereditary persistence of HbF, the most effective strategy to modulate disease severity in persons with SCD is HBG activation. Therefore, understanding molecular mechanisms of HBG1/HBG1 gene silencing during hemoglobin switching is an attractive but challenging strategy adopted by many investigators over the last three decades. Early genome-wide family genetic studies [82] and subsequent GWAS identified the XmnI-HBG2, HBS1-MYB, and BCL11A loci that account for ~40% of inherited HbF variance [83]. Orkin and colleagues advanced the field significantly by defining mechanisms of BCL11A-mediated γ-globin gene repression during murine development and correction of the SCD phenotype [119]. Genetic studies in an extended family identified mutations in KLF1 that produce hereditary persistence of HbF [120, 121] suggesting this transcription factor is a viable target for gene therapy. However, the efficacy of targeting transcription factors for therapeutic development remains to be demonstrated.
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Additional genetic studies that utilize high-throughput DNA (whole genome and exome) and RNA/miRNA (RNA-seq) sequencing will increase our knowledge of mechanisms involved in HBG regulation. With the expanded availability of genome-wide approaches, novel technologies for gene editing, and preclinical mouse models, the translation of bench research findings to clinical trials will be accelerated to improve treatment options for SCD and β-thalassemia.
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Funding source
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National Heart Lung and Blood Institute, National Institutes of Health to BSP (R01HL069234).
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\n',keywords:"fetal hemoglobin, single nucleotide polymorphism, drug discovery, genome-wide association studies",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/52068.pdf",chapterXML:"https://mts.intechopen.com/source/xml/52068.xml",downloadPdfUrl:"/chapter/pdf-download/52068",previewPdfUrl:"/chapter/pdf-preview/52068",totalDownloads:1871,totalViews:336,totalCrossrefCites:0,totalDimensionsCites:0,totalAltmetricsMentions:0,impactScore:0,impactScorePercentile:13,impactScoreQuartile:1,hasAltmetrics:0,dateSubmitted:"December 8th 2015",dateReviewed:"July 6th 2016",datePrePublished:null,datePublished:"November 10th 2016",dateFinished:"August 19th 2016",readingETA:"0",abstract:"Sickle cell disease (SCD) consists of inherited monogenic hemoglobin disorders affecting over three million people worldwide. Efforts to establish precision medicine based on the discovery of genetic polymorphisms associated with disease severity are ongoing to inform strategies for novel drug design. Numerous gene mutations have been associated with the clinical complications of SCD such as frequency of pain episodes, acute chest syndrome, and stroke among others. However, these discoveries have not produced additional treatment options. To date, Hydroxyurea remains the only Food and Drug Administration-approved agent for treating adults with SCD; recently it was demonstrated to be safe and effective in children. The main action of Hydroxyurea is the induction of fetal hemoglobin, a potent modifier of SCD clinical severity. Three inherited gene loci including XmnI-HBG2, HBS1L-MYB and BCL11A have been linked to HBG expression, however the greatest progress has been made to develop BCL11A as a therapeutic target. With the expanded availability of next generation sequencing, there exist opportunities to discover additional genetic modifiers of SCD. The progress made over the last two decades to define markers of disease severity and the implications for achieving precision medicine to treat the complications of SCD will be discussed.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/52068",risUrl:"/chapter/ris/52068",book:{id:"5318",slug:"sickle-cell-disease-pain-and-common-chronic-complications"},signatures:"Betty S. Pace, Nicole H. Lopez, Xingguo Zhu and Biaoru Li",authors:[{id:"183784",title:"Dr.",name:"Betty",middleName:null,surname:"Pace",fullName:"Betty Pace",slug:"betty-pace",email:"bpace@gru.edu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Augusta University",institutionURL:null,country:{name:"United States of America"}}}],sections:[{id:"sec_1",title:"1.\tIntroduction",level:"1"},{id:"sec_2",title:"2.\tClinical manifestations of sickle cell disease",level:"1"},{id:"sec_3",title:"3. Treatment of vaso-occlusive complications",level:"1"},{id:"sec_4",title:"4. Genetic modifiers of sickle cell disease severity",level:"1"},{id:"sec_4_2",title:"4.1. Vaso-occlusive pain",level:"2"},{id:"sec_5_2",title:"4.2. Acute chest syndrome/pulmonary hypertension",level:"2"},{id:"sec_6_2",title:"4.3. Cerebral vascular disease",level:"2"},{id:"sec_7_2",title:"4.4. Osteonecrosis",level:"2"},{id:"sec_8_2",title:"4.5. Priapism",level:"2"},{id:"sec_9_2",title:"4.6. Nephropathy",level:"2"},{id:"sec_10_2",title:"4.7. Leg ulcers",level:"2"},{id:"sec_12",title:"5. Genetic modifiers of fetal hemoglobin",level:"1"},{id:"sec_12_2",title:"5.1. HBB locus haplotypes",level:"2"},{id:"sec_13_2",title:"5.2. Genome-wide association studies (GWAS)",level:"2"},{id:"sec_14_2",title:"5.3. Xmn1-HBG2",level:"2"},{id:"sec_15_2",title:"5.4. HBS1L-MYB (HMIP) region",level:"2"},{id:"sec_16_2",title:"5.5. BCL11A",level:"2"},{id:"sec_17_2",title:"5.6. Mechanism of regulating HBG expression",level:"2"},{id:"sec_18_2",title:"5.7. Genetic modifiers of response to hydroxyurea therapy",level:"2"},{id:"sec_19_2",title:"5.8. MicroRNA-mediated control of HBG gene expression",level:"2"},{id:"sec_21",title:"6. Precision medicine for sickle cell disease",level:"1"},{id:"sec_22",title:"Funding source",level:"1"}],chapterReferences:[{id:"B1",body:'Stamatoyannopoulos G, Grosveld F. Hemoglobin switching. In: Stamatoyannopoulos G, Majerus PW, Perlmutter RM, Varmus H, editors. The Molecular Basis of Blood Disease. Vol. 3. Philadelphia: Saunders. 2001.'},{id:"B2",body:'September is Sickle Cell Awareness Month. CDC. February 2011.'},{id:"B3",body:'Sickle Cell Disease and Your Baby. March of Dimes. February 2008.'},{id:"B4",body:'Vichinsky EP, Mahoney DH, Landlaw SA. Uptodate: Sickle Cell Trait, November 2011.'},{id:"B5",body:'Global Burden of Disease Study 2013 Collaborators. 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Global genetic architecture of an erythroid quantitative trait locus, HMIP-2. Ann Hum Genet 78:434–51, 2014.'},{id:"B105",body:'Ma Q, Wyszynski DF, Farrell JJ, Kutlar A, Farrer LA, Baldwin CT, Steinberg MH. Fetal hemoglobin in sickle cell anemia: genetic determinants of response to hydroxyurea. Pharmacogenomics J 7:386–94, 2007.'},{id:"B106",body:'Chang YP, Maier-Redelsperger M, Smith KD, Contu L, Ducroco R, de Montalembert M, Belloy M, Elion J, Dover GJ, Girot R. The relative importance of the X-linked FCP locus and beta-globin haplotypes in determining haemoglobin F levels: a study of SS patients homozygous for beta S haplotypes. Br J Haematol 96:806–14, 1997.'},{id:"B107",body:'Creary LE, Ulug P, Menzel S, McKenzie CA, Hanchard NA, Taylor V, Farall M, Forrester TE, Thein SL. Genetic variation on chromosome 6 influences F cell levels in healthy individuals of African descent and HbF levels in sickle cell patients. PLoS One 4:e4218, 2009.'},{id:"B108",body:'Ware RE, Despotovic JM, Mortier NA, Flanagan JM, He J, Smeltzer MP, Kinble AC, Aygun B, Wu S, Joward T, Sparrebom A. Pharmacokinetics, pharmacodynamics, and pharmacogenetics of hydroxyurea treatment for children with sickle cell anemia. Blood 118:4985–91, 2011.'},{id:"B109",body:'Bhatnagar P, Purvis S, Barron-Casella E, et al. Genome-wide association study identifies genetic variants influencing F-cell levels in sickle-cell patients. J Hum Genet 56:316–23, 2011.'},{id:"B110",body:'Galarneau G, Palmer CD, Sankaran VG, Orkin SH, Hirschhorn JN, Lettre G. Fine-mapping at three loci known to affect fetal hemoglobin levels explains additional genetic variation. Nat Genet 42:1049–51, 2010.'},{id:"B111",body:'Kumkhaek C, Taylor JG 6th, Zhu J, Hoppe C, Kato GJ, Rodgers GP. Fetal haemoglobin response to hydroxycarbamide treatment and sar1a promoter polymorphisms in sickle cell anaemia. 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Science 334:993–6, 2011.'},{id:"B120",body:'Borg J, Papadopoulos P, Georgitsi M, Gutiérrez L, Grech G, Fanis P, Phylactides M, Verkerk AJ, van der Spek PJ, Scerri CA, Cassar W, Galdies R, van Ijcken W, Ozgür Z, Gillemans N, Hou J, Bugeja M, Grosveld FG, von Lindern M, Felice AE, Patrinos GP, Philipsen S. Haploinsufficiency for the erythroid transcription factor KLF1 causes hereditary persistence of fetal hemoglobin. Nat Genet 42:801–5, 2010.'},{id:"B121",body:'Zhou D, Liu K, Sun CW, Pawlik KM, Townes TM. KLF1 regulates BCL11A expression and gamma- to beta-globin gene switching. Nat Genet 42:742–4, 2010.'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Betty S. Pace",address:"bpace@augusta.edu",affiliation:'
Department of Pediatrics, Augusta University, Augusta, GA, USA
'},{corresp:null,contributorFullName:"Nicole H. Lopez",address:null,affiliation:'
Department of Pediatrics, Augusta University, Augusta, GA, USA
Department of Pediatrics, Augusta University, Augusta, GA, USA
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1. Introduction
According to the Council of Supply Chain Management Professionals (CSCMP), logistics is defined as the process of planning, implementing and controlling all operations and information flow for the efficient and effective transportation and storage of goods or services from a point of origin to a point of consumption. As presented in Figure 1, many operations are involved in a logistics network, and manufacturing is a crucial operation to transform inbound goods (e.g., raw materials) into outbound goods (e.g., end products, sub-assemblies, work-in-process, etc.) throughout this network.
Figure 1.
General example of a logistics network.
Due to the complexity of these operations, where many of them involve problems of NP-hard computational complexity, research and improvement efforts require the use of advanced of quantitative and qualitative strategies and tools. Among these, the use of Search Algorithms such as meta-heuristics has been proposed to solve to near-optimality large NP-hard problems within reasonable time [1].
As presented in Figure 1, transportation is needed for the efficient flow of goods throughout the supply chain (SC). Thus, the analysis and solution of routing problems are the first set of problems to be addressed in this chapter.
Then, manufacturing planning is needed to achieve the required quantities of sub-assemblies and end-products to supply the customers (or even other suppliers) in time through the SC. Thus, production planning problems are the second set of problems to be addressed in this chapter. Note that both sets are mutually important and dependent for the appropriate performance of the SC.
While there are many search algorithms or meta-heuristic approaches to solve these problems, this chapter addresses the specific configuration settings to apply Genetic Algorithms (GA) to solve both sets of problems. As the solutions have different representations (i.e., permutations, binary chains, real numbers), having a common algorithmic base can lead to a better understanding for successful implementation for other problems and contexts.
GA are based on the principle of natural selection of “survival of the fittest” where individuals within a population compete between each other for vital resources (i.e., food, shelter, etc.) and/or to attract mates for reproduction. Due to this selection mechanism, it is expected that poorly performing individuals have less chance to survive in contrast to the most adapted or “fit” individuals which are more likely to reproduce, inheriting their good characteristics to their offspring to make them better and more adapted to their environment [2].
Figure 2 presents the general structure and main elements of a GA. This meta-heuristic is population-based. Thus, it works by continuously improving on a set of solutions by using reproduction operators which facilitate the search mechanisms for the solution space of the problem. This set, known as the population, consists of N feasible solutions which are evaluated through a fitness function (i.e., the total distance equation, or objective function, to determine the total cost associated to each solution). Then, the solutions with the best fitness values become candidates for reproduction to (hopefully) inherit their best features to new solutions and improve the overall population in the next generation (iteration). It is expected that after X generations the mean fitness of the population converges to a local optimum.
Figure 2.
General structure and main elements of a GA.
Within this context, the present chapter addresses the different representations of candidate solutions, fitness functions, and reproduction operators, for the application of GA to solve the following sets of problems:
Routing Planning (Section X.2): Traveling Salesman Problem (TSP) and Capacitated Vehicle Routing Problem (CVRP).
Production and Selection of the Most Profitable Goods (Section X.3): Economic Lot Problem with Multiple Items and Knapsack Problem.
Production Scheduling (Section X.4): Permutation Flow-Shop Scheduling Problem.
This chapter ends with a discussion of the results and the practical implications of the future work (Section X.5).
2. Genetic algorithm for route planning problems
2.1 Traveling salesman problem
The Traveling Salesman Problem (TSP) represents the scenario of a salesperson who must visit each place within a set of cities or towns. This must be performed with the following considerations: the salesperson starts and ends the whole journey at a single location (i.e., the main office) and must visit each place only once [3]. Although this is the basic understanding of the TSP, the main feature of finding a single route, or sequence of minimum distance or cost, is shared by other real-world applications such as vehicle routing [4], production planning [5], service time [6], and design of computer networks [7]. Figure 3 presents an overview of the TSP model with n = 12 cities.
Figure 3.
Example of a feasible TSP solution with n = 12 cities.
Note that each single route that complies with the previous restrictions represents a candidate solution, and there are as much as n! candidate solutions if brute search were to be considered as solving method to find the optimal or best solution. Just for the example presented in Figure 3, there are up to 12! = 479′001,600 or 479.00e+006 feasible solutions to visit all 12 cities. This number increases exponentially as n increases linearly. Thus, if just a single city is added to the TSP problem, the number of feasible solutions can increase to 13! = 6.23e+009.
This leads to a problem with an infinite solution space if large sets of cities are considered. This classifies the TSP as an NP-hard problem, which is very difficult to solve within reasonable time, even with the most advanced computational systems. Thus, different meta-heuristics have been developed to provide fast near-to-optimal solutions. Among these meta-heuristics the following can be mentioned [8]: Nearest Neighbor (NN), Simulated Annealing (SA), Tabu Search (TS), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Tree Physiology Optimization (TPO).
As presented in [8] GA and SA are among the most suitable heuristics, achieving error gaps from best known solutions within the 10% mark for small (n < 100), moderate (100 < n < 150) and large (150 < n < 450) TSP instances. However, within the context of TSP solutions, it is always recommended to test the solving methods with very large instances (i.e., n > 500) to corroborate their performance.
Thus, the developed GA considers TSP instances with n ≈ 1000. For this purpose, the GA considers the structure presented in Figure 2 with the settings and reproduction operators presented in Table 1 and described in Figure 4.
Parameter
Setting
Generations (Iterations)
1000
Fitness Function
Symmetric Euclidean Distance of TSP Route
Population Size
According to the size of the TSP
Selection
Tournament
Reproduction Operators:
Crossover
Partially-Matched Crossover (PMX)
Mutation
Swap, Inversion
Table 1.
GA settings for the TSP.
Figure 4.
Partially-matched crossover, and swap/inversion mutation operators for the TSP.
Implementation of the GA was performed in MATLAB with an Intel Core i7–5500 CPU at 2.40 GHz and 8GB RAM. Testing was performed with a set of TSP instances from the TSPLIB95 database [9]. The details of these instances, including the GA’s population size N used for each case, are presented in Table 2. The results of the tests can be observed in Figure 5 and Figure 6.
N
Size of the TSP (n)
Name of the Instance
N
Size of the TSP (n)
Name of the Instance
200
51
eil51.tsp
200
198
d198.tsp
200
52
berlin52.tsp
300
200
kroA200.tsp
200
70
st70.tsp
300
200
kroB200.tsp
200
76
eil76.tsp
300
225
ts225.tsp
200
76
pr76.tsp
300
225
tsp225.tsp
200
99
rat99.tsp
300
226
pr226.tsp
200
100
kroA100.tsp
300
262
gil262.tsp
200
100
kroB100.tsp
300
264
pr264.tsp
200
100
kroC100.tsp
300
280
a280.tsp
200
100
kroD100.tsp
300
299
pr299.tsp
200
100
kroE100.tsp
300
318
lin318.tsp
200
100
rd100.tsp
500
400
rd400.tsp
200
105
lin105.tsp
500
417
fl417.tsp
200
107
pr107.tsp
500
439
pr439.tsp
200
124
pr124.tsp
500
442
pcb442.tsp
200
127
bier127.tsp
500
493
d493.tsp
200
130
ch130.tsp
500
574
u574.tsp
200
136
pr136.tsp
500
575
rat575.tsp
200
144
pr144.tsp
800
654
p654.tsp
200
150
ch150.tsp
800
657
d657.tsp
200
150
kroA150.tsp
800
724
u724.tsp
200
150
kroB150.tsp
1500
783
rat783.tsp
200
152
pr152.tsp
1500
1002
pr1002.tsp
200
159
u159.tsp
1500
1060
u1060.tsp
200
195
rat195.tsp
1500
1084
vm1084.tsp
Table 2.
TSPLIB instances for GA testing.
Figure 5.
Mean error gap across all TSP test instances with (a) the GA, and (b) the revised hybrid-GA.
Figure 6.
Error gap across all TSP test instances with (a) the GA, and (b) the revised hybrid-GA.
As presented in Figure 5, the mean error gap through all instances begins to decrease as the selection and reproduction mechanisms of the GA start to operate on the initial and updated populations. By the 300th generation the mean error gap decreases under the 10% mark to finally reach an approximate of 7% by the 1000th generation. This corroborates the performance reported in [8].
Finally, Figure 6 presents the performance of the GA based on the size of the test instances (n). With the settings reported in Table 1, as n increases, the GA takes more time to converge to a local optimum which, in some cases, it is slightly over the 10% mark. Also, the size of the population (N) must be increased to improve the search performance.
Based on these findings, particularly for the TSP with n ≈ 1000, the following recommendations can be made:
Diversification of solutions depends of the size of the population (N) and the TSP (n). Because N is the only controllable parameter, it is important to find an appropriate balance between it and n because a large N can increase the computational memory load of the algorithm which is already affected by n.
A larger number of generations should be considered for large TSP problems. This because convergence may get slower due to n, independently of the reproduction or selection operators, or the size of the population.
Integration with other heuristics or meta-heuristics can improve on the initial population or some of the search operators, and thus, on the convergence of the GA through all generations. This process, called hybridization, has led to obtain very suitable results for large TSP instances [10].
As an example of hybridization, Figures 5 and 6 present the performance of the revised GA (hybrid-GA) with a much smaller N (= 50 for all instances) and a Greedy algorithm to improve four offspring (two by crossover, one by flip mutation, one by swap mutation) which are included within the updated population. This increases the speed of the GA, reaching the 10% by the 100th generation, with a final mean error gap of 5% by the 1000th generation. Also, improvement of the large instances (n > 500) is observed, achieving error gaps under the 10% mark.
2.2 Capacitated vehicle routing problem
The Capacitated Vehicle Routing Problem (CVRP) represents an extension on the TSP. As shown in Figure 7, the CVRP determines a set of routes that start and end at a specific place or location (e.g., a distribution center). These routes must visit or serve a finite number of locations and meet their demand requirements. Each route must be served by a single vehicle (e.g., a salesperson) with finite capacity, and only one vehicle can serve a location. Thus, the CVRP can be understood as a variant of the multiple-TSP with capacity restrictions [11].
Figure 7.
Example of a feasible CVRP solution with n = 12 cities and 3 routes.
As in the case of the TSP, the CVRP is a combinatorial problem of NP-hard complexity which cannot be solved within a reasonable polynomial time [12]. Due to this, the CVRP has been addressed by different meta-heuristics such as Tabu -Search (TS) [13, 14], GA [15], SA [16, 17], and Particle Swarm Optimization (PSO) [18].
For this case, the GA presented in Figure 2 was modified to solve the CVRP. The GA and its configuration settings are presented in Figure 8 and Table 3 respectively. Note that the reproduction operators remain the same as considered for the TSP. Testing was performed with a set of instances from the CVRPLIB database [19, 20]. Table 4 presents the details of the selected instances.
Figure 8.
Modified structure of the GA for the CVRP.
Parameter
Setting
Generations (Iterations)
1000
Fitness Function
Symmetric Euclidean Distance of CVRP Routes
Population Size
N = 100
Selection
Tournament
Reproduction Operators:
Crossover
Partially-Matched Crossover (PMX)
Mutation
Swap, Inversion
Table 3.
GA settings for the CVRP.
Size of the CVRP (n)
Number of CVRP Routes
Name of the Instance
Size of the CVRP (n)
Number of CVRP Routes
Name of the Instance
100
25
X-n101-k25
335
84
X-n336-k84
105
14
X-n106-k14
343
43
X-n344-k43
109
13
X-n110-k13
350
40
X-n351-k40
114
10
X-n115-k10
358
29
X-n359-k29
119
6
X-n120-k6
366
17
X-n367-k17
124
30
X-n125-k30
375
94
X-n376-k94
128
18
X-n129-k18
383
52
X-n384-k52
133
13
X-n134-k13
392
38
X-n393-k38
138
10
X-n139-k10
400
29
X-n401-k29
142
7
X-n143-k7
410
19
X-n411-k19
147
46
X-n148-k46
419
130
X-n420-k130
152
22
X-n153-k22
428
61
X-n429-k61
156
13
X-n157-k13
438
37
X-n439-k37
161
11
X-n162-k11
448
29
X-n449-k29
166
10
X-n167-k10
458
26
X-n459-k26
171
51
X-n172-k51
468
138
X-n469-k138
175
26
X-n176-k26
479
70
X-n480-k70
180
23
X-n181-k23
490
59
X-n491-k59
185
15
X-n186-k15
501
39
X-n502-k39
189
8
X-n190-k8
512
21
X-n513-k21
194
51
X-n195-k51
523
137
X-n524-k153
199
36
X-n200-k36
535
96
X-n536-k96
203
19
X-n204-k19
547
50
X-n548-k50
208
16
X-n209-k16
560
42
X-n561-k42
213
11
X-n214-k11
572
30
X-n573-k30
218
73
X-n219-k73
585
159
X-n586-k159
222
34
X-n223-k34
598
92
X-n599-k92
227
23
X-n228-k23
612
62
X-n613-k62
232
16
X-n233-k16
626
43
X-n627-k43
236
14
X-n237-k14
640
35
X-n641-k35
241
48
X-n242-k48
654
131
X-n655-k131
246
47
X-n247-k50
669
126
X-n670-k130
250
28
X-n251-k28
684
75
X-n685-k75
255
16
X-n256-k16
700
44
X-n701-k44
260
13
X-n261-k13
715
35
X-n716-k35
265
58
X-n266-k58
732
159
X-n733-k159
269
35
X-n270-k35
748
98
X-n749-k98
274
28
X-n275-k28
765
71
X-n766-k71
279
17
X-n280-k17
782
48
X-n783-k48
283
15
X-n284-k15
800
40
X-n801-k40
288
60
X-n289-k60
818
171
X-n819-k171
293
50
X-n294-k50
836
142
X-n837-k142
297
31
X-n298-k31
855
95
X-n856-k95
302
21
X-n303-k21
875
59
X-n876-k59
307
13
X-n308-k13
894
37
X-n895-k37
312
71
X-n313-k71
915
207
X-n916-k207
316
53
X-n317-k53
935
151
X-n936-k151
321
28
X-n322-k28
956
87
X-n957-k87
326
20
X-n327-k20
978
58
X-n979-k58
330
15
X-n331-k15
1000
43
X-n1001-k43
Table 4.
CVRPLIB instances for GA testing.
As presented in Figure 9, the mean error gap reaches the 10% mark by the 200th generation, with an approximate of 8.5% by the 1000th generation. In contrast to the patterns observed in Figure 6, in Figure 10 there is not a clear relationship between the size of the instance (n) and the error gap. Thus, there are large instances with very small error gaps (approximately 6%) and medium instances with large error gaps (over 10%). This however is expected because there are more tasks to be performed on the CVRP such as route segmenting and capacity restriction compliance. This leads to frequently consider GAs for small CVRP instances (n < 200) [15, 21].
Figure 9.
Mean error gap across all CVRP test instances with the GA.
Figure 10.
Error gap across all CVRP test instances with the GA.
Based on these findings, particularly for the CVRP with n ≈ 1000, the following recommendations can be made:
Due to the size of the population and the additional tasks, faster processes are needed for diversification of solutions. In example, Tabu Search (TS) uses small sets of candidate solutions (neighbors) through the consideration of movements (or moves). Also, convergence to a local optimum can be minimized by forbidding certain moves (e.g., make them tabu) which would make the algorithm to revisit a region within the solution space. This is an advantage when compared to GA, which requires full-candidate solution populations, and avoidance of previously obtained solutions may require additional tasks.
Hybridization can improve the convergence and overall search performance of near-optimal solutions. In example, implementing a tabu mechanism on the population can reduce the rate of previously visited solutions (same solutions) and even dynamically reduce the size of the population.
Initial convergence of the GA, and overall initial performance, may benefit from an initial population with very suitable solutions. However, this may restrict the diversification of solutions through later generations.
3. Genetic algorithm for production and selection of goods
3.1 Economic lot quantity with multiple items
In manufacturing, an important aspect is the supply of resources such as raw materials, sub-assemblies, end/final products, etc. The availability of these resources must comply with time and cost restrictions.
Within this aspect, the Economic Lot Quantity (EOQ) models are aimed to estimate the lot size Q which minimizes operational costs associated to inventory management. In general, Q minimizes the following cost function:
T=DQCo+Q2Ch.E1
Where Co is the ordering cost per lot, Ch is the holding cost per unit of product, and D is the cumulative demand through a planning horizon [22]. As presented in Figure 11, Q can also be understood as the lot size that equals the total order cost with the total holding cost through a planning horizon (and this leads to minimize T):
Figure 11.
Inventory management costs associated to the EOQ model.
Which computes the optimal value for Q. Now, if N items with independent orders are considered, then:
T=∑i=1NDiQiCoi+Qi2Chi.E4
Under the assumption of independence, Qi can be optimally computed by using Eq. (3) for each item [22]. Thus, for the present case, the GA is only developed to verify its efficiency to solve the EOQ to optimality with a large N.
The GA follows the standard structure presented in Figure 2. As the solution consists of a set of Qi values, the restrictions associated to permutations (such as in the case of TSP/CVRP) are not present. Thus, a simpler crossover operator can be used.
Figure 12 presents an overview of the linear crossover operator used for the GA. On the other hand, Table 5 presents the configuration settings of the GA.
Figure 12.
Linear crossover operator for the multiple-item EOQ (α = 0.5).
Parameter
Setting
Generations (Iterations)
2000
Fitness Function
Total Inventory Management Cost (T)
Population Size
N = 1000
Selection
Tournament
Reproduction Operators:
Crossover
Linear Crossover
Mutation
Swap, Inversion
Table 5.
GA settings for the multiple-item EOQ.
The average results for different randomly generated sets of N products are presented in Figure 13. As this is a simpler problem than both, the TSP and the CVRP, optimality can be reached within 100–200 generations. Note that it is always recommended to select an exact method if it is available and results can be obtained within very reasonable time.
Figure 13.
Mean error gap across all multiple-item EOQ with the GA.
3.2 Knapsack problem
The Backpack or Knapsack Problem (KP) is a binary multicriteria problem of NP-hard computational complexity and it is frequently considered as a strategy to select items to maximize profits without affecting capacity restrictions [23, 24].
The KP can be mathematically formulated as a vector of binary variables 𝑥𝑗 where 𝑥𝑗= 1 if the item j is selected, and 𝑥𝑗= 0 otherwise. Then, if pj is a measure of importance (in this case, profit) for an item j, wj represents the size of said item, and cv is the size of the backpack, the problem refers to the selection of the quantity of all elements whose binary vectors xj satisfy the following restrictions [24]:
∑j=1nwjxj≤cvE5
xj∈01,j=1,…,nE6
These must contribute to maximize the following objective function:
T=∑j=1npjxjE7
The KP also can be extended to consider more restrictions. In example, if cv is the volumetric capacity of the backpack, cz can be added to include its weight capacity. Thus, if wj represents the volume of the item j, zj can be used to represent its weight, leading to the following restriction:
∑j=1nzjxj≤czE8
Figure 14 presents an overview of the reproduction operator for the GA considered to solve a large KP instance. Note that, due to the binary nature of the decision variable, the crossover and mutation operators can be implemented faster. Then, the configuration settings of the GA are reviewed in Table 6.
Figure 14.
Uniform crossover operator for the KP.
Parameter
Setting
Generations (Iterations)
100
Fitness Function
Total Profit of Selected Goods (T)
Population Size
N = 1000
Selection
Tournament
Reproduction Operators:
Crossover
Uniform Crossover
Mutation
Swap, Inversion
Table 6.
GA settings for the KP.
Based on the instance reported in [24], six random test instances with N = 250 items were generated. Figure 15 presents the mean results for these instances. Error gap assessment was performed with the optimization software Lingo. This led to an error gap of 4.0% which is consistent with the results reported in [24].
Figure 15.
Mean objective function values across all KP instances with the GA.
4. Genetic algorithm for production scheduling problems
This chapter ends with an application of GA for solving one of the most useful models for manufacturing planning. This model, known as the Permutation Flow-Shop Scheduling Problem (PFSP), consists of finding the optimal sequence of N-jobs to be processed on M-machines [25]. The optimal sequence of jobs is the one that minimizes the make-span of the N-jobs through the M-machines, thus, minimizing the completion time of the last job on the last machine. Note that this sequencing implies two important restrictions: (a) no job can be started on the following machine until it is finished in the previous machine; and (b) a job cannot be started on a machine if it is busy processing another job. As consequence, this is one of the main strategies to reduce idle and waiting times within a workshop [26].
For illustration purposes, Figure 16 shows an example of a solution for a 5-jobs (a, b, c, d, e) and 3-machines (1, 2, 3) PFSP. Note that each job may take different processing times depending of the assigned machine, and the established sequence remains the same for all machines. Thus, the established sequence has a direct effect on the completion time or makespan.
Figure 16.
Example of a 5-jobs, 3-machines PFSP.
Thus, the information (i.e., processing times) of a PFSP with N-jobs and M-machines is frequently presented as shown in Table 7. As in the case of the TSP/CVRP models, the PFSP is also of NP-hard computational complexity, thus, metaheuristic methods are frequently considered to solve it within reasonable time.
Job
Processing Times
P1
P2
P3
…
PM
1
P11
P12
P13
…
P1M
2
P21
P22
P23
…
P2M
…
…
…
…
…
…
N
PN1
PN2
PN3
…
PNM
Table 7.
Data of the PFSP.
As it is a permutation-based problem, the structure and settings considered for the TSP GA (see Figure 2 and Table 1) were considered for the PFSP with 500 generations. For testing purposes, the library and best results reported in [27] for 30 randomly selected 20-jobs, 20-machines PFSP instances were considered. The results are presented in Figure 17.
Figure 17.
Mean error gap across 30 randomly selected 20 × 20 PFLP test instances with the GA.
As observed, the mean error gap reaches the 10% mark at the beginning of the GA, with a final mean error gap of 0.005% by the 500th generation. Thus, the GA can provide near-optimal results for the PFSP.
5. Conclusions and future work
In this chapter the basic elements of a GA were reviewed to describe its application for different logistics and manufacturing problems. The routing problems, beyond the transportation context, can be applied on machine maintenance schemes or material changing services within production plants to minimize operational times. Also, they can be applied to improve the material flow through the warehouse, which is a main facility within the SC. Operations such as order-picking and bin-shelving can be optimized by modeling them as TSP instances [28].
On the other hand, the KP for selection of items is a problem shared with other contexts such as waste reduction in cutting processes, selection of investments and portfolios, decisions for capital budgeting and asset-backed securitization [29]. The PFSP has been also extended on other fields such as in scheduling of quality control tasks on different machines [30].
Thus, the relevance of solving these combinatorial problems, particularly those of large scale, is very important due to their impact in other science and industrial fields.
Within the search algorithms, the GA can provide very suitable results for these problems. However, as presented in Sections X.2, X.3., and X.4, final performance depends of the type of problem. While the GA can achieve mean error gaps under the 10% mark for TSP/CVRP, for the PFSP the GA can achieve near optimal results under the 1% mark.
These results were supported by extensive experiments which were performed with well-known test databases or libraries. In practice, these experiments also provide important feedback to consider alternative meta-heuristics or develop hybrid approaches for improvement of performance.
This is because, as reviewed, a single meta-heuristic or search algorithm may not be enough to solve all problems if near-optimality is required. In this case, hybridization between different methods have improved on the search mechanisms of meta-heuristics, either deterministic or stochastic. Also, the integration with mathematical programming (which implies an exact solving method) has provided innovative proposals to solve NP-hard problems [31].
Future work is extensive on this field because:
better solving methods are required due to the presence of increasingly complex combinatorial problems;
advanced mathematical modeling is required to reduce the complexity of NP-hard problems and thus, make them more suitable to optimization through meta-heuristics or exact methods such as Branch & Bound;
automatic decision models require the use of Big Data Analysis which, to some extend, depends of meta-heuristic methods.
Thus, as a concluding remark, it can be stated that any advance on these algorithms can impact on different fields. Just to mention an important field within the current industry, meta-heuristics are playing an important role on the implementation of dynamic decision models within Industry/Manufacturing 4.0 systems. Within this context, recent works have reported the application and improvement of these search algorithms for cost-efficient deployment of computing systems in logistics centers [32], dynamic CVRP [33], and development of Digital-Twin platforms [34].
Conflict of interest
The author declares no conflict of interest.
\n',keywords:"vehicle routing problem, knapsack problem, flow-shop Scheduling, local-search Algorithms, genetic algorithms",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/75518.pdf",chapterXML:"https://mts.intechopen.com/source/xml/75518.xml",downloadPdfUrl:"/chapter/pdf-download/75518",previewPdfUrl:"/chapter/pdf-preview/75518",totalDownloads:291,totalViews:0,totalCrossrefCites:0,dateSubmitted:"November 9th 2020",dateReviewed:"February 10th 2021",datePrePublished:"March 3rd 2021",datePublished:null,dateFinished:"March 3rd 2021",readingETA:"0",abstract:"The supply chain comprehensively considers problems with different levels of complexity. Nowadays, design of distribution networks and production scheduling are some of the most complex problems in logistics. It is widely known that large problems cannot be solved through exact methods. Also, specific optimization software is frequently needed. To overcome this situation, the development and application of search algorithms have been proposed to obtain approximate solutions to large problems within reasonable time. In this context, the present chapter describes the development of Genetic Algorithms (an evolutionary search algorithm) for vehicle routing, product selection, and production scheduling problems within the supply chain. These algorithms were evaluated by using well-known test instances. The advances of this work provide the general discussions associated to designing these search algorithms for logistics problems.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/75518",risUrl:"/chapter/ris/75518",signatures:"Gladys Bonilla-Enriquez and Santiago-Omar Caballero-Morales",book:{id:"9964",type:"book",title:"Search Algorithm - Essence of Optimization",subtitle:null,fullTitle:"Search Algorithm - Essence of Optimization",slug:null,publishedDate:null,bookSignature:"Dr. Dinesh G. 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DOI: 10.1007/s11831-017-9247-y'},{id:"B9",body:'Reinelt G. TSPLIB 95 [Internet]. 1995. Available from: http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95/ [Accessed: 2021-01-20]'},{id:"B10",body:'Nguyen HD, Yoshihara I, Yamamori K, Yasunaga M. Implementation of an Effective Hybrid GA for Large-Scale Traveling Salesman Problems. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS. 2007; 37(1): 92-99. DOI: 10.1109/TSMCB.2006.880136'},{id:"B11",body:'Toth P, Vigol D. Models, relaxations and exact approaches for the capacitated vehicle routing problem. Discrete Applied Mathematics. 2002; 123(1-3): 487-512. DOI: 10.1016/S0166-218X(01)00351-1'},{id:"B12",body:'Zhang DZ, Lee CKM. An Improved Artificial Bee Colony Algorithm for the Capacitated Vehicle Routing Problem. In: Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics; 9-12 October 2015; Kowloon, China: IEEE; 2015. p. 2124-2128. 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DOI: 10.1016/S0305-0548(02)00051-5'},{id:"B22",body:'Sanchez-Sierra ST, Caballero-Morales SO, Sanchez-Partida D, Martinez-Flores JL. Facility Location Model with Inventory Transportation and Management Costs. Acta Logistica. 2018; 5(3): 79-86'},{id:"B23",body:'Martello S, Toth P. Knapsack Problems: Algorithms and Computer Implementations. 1st ed. England: John Wiley & Sons Ltd; 1990. 308 p'},{id:"B24",body:'Bonilla-Enriquez G, Sanchez-Partida D, Caballero-Morales SO. Algoritmo genetico para el problema logistico de asignacion de la mochila (Knapsack Problem). Research in Computing Science. 2017; 137: 157-168'},{id:"B25",body:'Singhal E, Singh S, Dayma A. An Improved Heuristic for Permutation Flow Shop Scheduling (NEH ALGORITHM). International Journal of Computational Engineering Research. 2012; 2(6): 30-36'},{id:"B26",body:'Rosas-Gonzalez A, Clemente-Guerrero DM, Caballero-Morales SO, Flores-Juan JC. Machines Permutation Flow-Shop Scheduling Problem with Break-Down Times. International Journal of Computer Applications. 2013; 83(1): 1-6. DOI: 10.5120/14409-2488'},{id:"B27",body:'Watson JP, Barbulescu L, Whitley DL, Howe AE. Contrasting structured and random permutation flow-shop scheduling problems: Search space topology and algorithm performance. INFORMS Journal on Computing. 2002; 14(2): 98-123'},{id:"B28",body:'Bartholdi JJ, Hackman ST. Warehouse & Distribution Science. Release 0.96. Atlanta, Georgia, USA: The Supply Chain and Logistics Institute; 2014. 323 p'},{id:"B29",body:'Kellerer H, Pferschy U, Pisinger D. Knapsack Problems. 1st ed. Germany: Springer-Verlag Berlin Heidelberg; 2004. 548 p. DOI: 10.1007/978-3-540-24777-7'},{id:"B30",body:'Erseven G, Akgün G, Karakaş A, Yarıkcan G, Yücel Ö, Öner A. An Application of Permutation Flowshop Scheduling Problem in Quality Control Processes. In: Proceedings of the International Symposium for Production Research (ISPR 2018); 28-31 August; Vienna, Austria: Springer; 2018. p. 849-860. DOI: 10.1007/978-3-319-92267-6_68'},{id:"B31",body:'Boschetti MA, Maniezzo V, Roffilli M, Röhler AB. Matheuristics: Optimization, Simulation and Control. In: Proceedings of the International Workshop on Hybrid Metaheuristics (HM 2009); 16-18 January; Concepcion, Chile: Springer Verlag; 2009. p. 171-177. DOI: 10.1007/978-3-642-04918-7_13'},{id:"B32",body:'Li CC, Yang JW. Cost-Efficient Deployment of Fog Computing Systems at Logistics Centers in Industry 4.0. IEEE Transactions on Industrial Informatics. 2018; 14(10): 4603-4611. DOI: 10.1109/TII.2018.2827920'},{id:"B33",body:'Abdirad M, Krishnan K, Gupta D. A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach. Journal of Management Analytics. 2020. DOI: 10.1080/23270012.2020.1811166'},{id:"B34",body:'Balderas D, Ortiz A, Mendez E, Ponce P, Molina A. Empowering Digital Twin for Industry 4.0 using metaheuristic optimization algorithms: case study PCB drilling optimization. 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Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
\n\n
CSIC affiliated authors can also take advantage of a central Open Access fund (amounting to 10,000 EUR) to cover up to 50% of the rest of the OAPF until it expires. Effective for chapters accepted from January 1, 2020.
Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
The Claremont Colleges are pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\n
Corresponding authors will receive a 15% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
The University of Massachusetts, Amherst is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\n
Corresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
The University of Surrey is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\n
Corresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\n\n
\n\t
Virginia Polytechnic Institute and State University
Important: You must be a member or grantee of the above listed institutions in order to apply for their Open Access publication funds.
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Heshmati",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/313921/images/system/313921.jpg",biography:"Dr. Hassan Massoud Heshmati is an endocrinologist with 46 years of experience in clinical research in academia (university-affiliated hospitals, Paris, France; Mayo Foundation, Rochester, MN, USA) and pharmaceutical companies (Sanofi, Malvern, PA, USA; Essentialis, Carlsbad, CA, USA; Gelesis, Boston, MA, USA). His research activity focuses on pituitary tumors, hyperthyroidism, thyroid cancers, osteoporosis, diabetes, and obesity. He has extensive knowledge in the development of anti-obesity products. Dr. Heshmati is the author of 299 abstracts, chapters, and articles related to endocrinology and metabolism. He is currently a consultant at Endocrinology Metabolism Consulting, LLC, Anthem, AZ, USA.",institutionString:"Endocrinology Metabolism Consulting, LLC",institution:null},{id:"198499",title:"Dr.",name:"Daniel",middleName:null,surname:"Glossman-Mitnik",slug:"daniel-glossman-mitnik",fullName:"Daniel Glossman-Mitnik",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/198499/images/system/198499.jpeg",biography:"Dr. Daniel Glossman-Mitnik is currently a Titular Researcher at the Centro de Investigación en Materiales Avanzados (CIMAV), Chihuahua, Mexico, as well as a National Researcher of Level III at the Consejo Nacional de Ciencia y Tecnología, Mexico. His research interest focuses on computational chemistry and molecular modeling of diverse systems of pharmacological, food, and alternative energy interests by resorting to DFT and Conceptual DFT. He has authored a coauthored more than 255 peer-reviewed papers, 32 book chapters, and 2 edited books. He has delivered speeches at many international and domestic conferences. He serves as a reviewer for more than eighty international journals, books, and research proposals as well as an editor for special issues of renowned scientific journals.",institutionString:"Centro de Investigación en Materiales Avanzados",institution:{name:"Centro de Investigación en Materiales Avanzados",country:{name:"Mexico"}}},{id:"76477",title:"Prof.",name:"Mirza",middleName:null,surname:"Hasanuzzaman",slug:"mirza-hasanuzzaman",fullName:"Mirza Hasanuzzaman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/76477/images/system/76477.png",biography:"Dr. Mirza Hasanuzzaman is a Professor of Agronomy at Sher-e-Bangla Agricultural University, Bangladesh. He received his Ph.D. in Plant Stress Physiology and Antioxidant Metabolism from Ehime University, Japan, with a scholarship from the Japanese Government (MEXT). Later, he completed his postdoctoral research at the Center of Molecular Biosciences, University of the Ryukyus, Japan, as a recipient of the Japan Society for the Promotion of Science (JSPS) postdoctoral fellowship. He was also the recipient of the Australian Government Endeavour Research Fellowship for postdoctoral research as an adjunct senior researcher at the University of Tasmania, Australia. Dr. Hasanuzzaman’s current work is focused on the physiological and molecular mechanisms of environmental stress tolerance. Dr. Hasanuzzaman has published more than 150 articles in peer-reviewed journals. He has edited ten books and written more than forty book chapters on important aspects of plant physiology, plant stress tolerance, and crop production. According to Scopus, Dr. Hasanuzzaman’s publications have received more than 10,500 citations with an h-index of 53. He has been named a Highly Cited Researcher by Clarivate. He is an editor and reviewer for more than fifty peer-reviewed international journals and was a recipient of the “Publons Peer Review Award” in 2017, 2018, and 2019. He has been honored by different authorities for his outstanding performance in various fields like research and education, and he has received the World Academy of Science Young Scientist Award (2014) and the University Grants Commission (UGC) Award 2018. He is a fellow of the Bangladesh Academy of Sciences (BAS) and the Royal Society of Biology.",institutionString:"Sher-e-Bangla Agricultural University",institution:{name:"Sher-e-Bangla Agricultural University",country:{name:"Bangladesh"}}},{id:"187859",title:"Prof.",name:"Kusal",middleName:"K.",surname:"Das",slug:"kusal-das",fullName:"Kusal Das",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSBDeQAO/Profile_Picture_1623411145568",biography:"Kusal K. Das is a Distinguished Chair Professor of Physiology, Shri B. M. Patil Medical College and Director, Centre for Advanced Medical Research (CAMR), BLDE (Deemed to be University), Vijayapur, Karnataka, India. Dr. Das did his M.S. and Ph.D. in Human Physiology from the University of Calcutta, Kolkata. His area of research is focused on understanding of molecular mechanisms of heavy metal activated low oxygen sensing pathways in vascular pathophysiology. He has invented a new method of estimation of serum vitamin E. His expertise in critical experimental protocols on vascular functions in experimental animals was well documented by his quality of publications. He was a Visiting Professor of Medicine at University of Leeds, United Kingdom (2014-2016) and Tulane University, New Orleans, USA (2017). For his immense contribution in medical research Ministry of Science and Technology, Government of India conferred him 'G.P. Chatterjee Memorial Research Prize-2019” and he is also the recipient of 'Dr.Raja Ramanna State Scientist Award 2015” by Government of Karnataka. He is a Fellow of the Royal Society of Biology (FRSB), London and Honorary Fellow of Karnataka Science and Technology Academy, Department of Science and Technology, Government of Karnataka.",institutionString:"BLDE (Deemed to be University), India",institution:null},{id:"243660",title:"Dr.",name:"Mallanagouda Shivanagouda",middleName:null,surname:"Biradar",slug:"mallanagouda-shivanagouda-biradar",fullName:"Mallanagouda Shivanagouda Biradar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243660/images/system/243660.jpeg",biography:"M. S. Biradar is Vice Chancellor and Professor of Medicine of\nBLDE (Deemed to be University), Vijayapura, Karnataka, India.\nHe obtained his MD with a gold medal in General Medicine and\nhas devoted himself to medical teaching, research, and administrations. He has also immensely contributed to medical research\non vascular medicine, which is reflected by his numerous publications including books and book chapters. Professor Biradar was\nalso Visiting Professor at Tulane University School of Medicine, New Orleans, USA.",institutionString:"BLDE (Deemed to be University)",institution:{name:"BLDE University",country:{name:"India"}}},{id:"289796",title:"Dr.",name:"Swastika",middleName:null,surname:"Das",slug:"swastika-das",fullName:"Swastika Das",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/289796/images/system/289796.jpeg",biography:"Swastika N. Das is Professor of Chemistry at the V. P. Dr. P. G.\nHalakatti College of Engineering and Technology, BLDE (Deemed\nto be University), Vijayapura, Karnataka, India. She obtained an\nMSc, MPhil, and PhD in Chemistry from Sambalpur University,\nOdisha, India. Her areas of research interest are medicinal chemistry, chemical kinetics, and free radical chemistry. She is a member\nof the investigators who invented a new modified method of estimation of serum vitamin E. She has authored numerous publications including book\nchapters and is a mentor of doctoral curriculum at her university.",institutionString:"BLDEA’s V.P.Dr.P.G.Halakatti College of Engineering & Technology",institution:{name:"BLDE University",country:{name:"India"}}},{id:"248459",title:"Dr.",name:"Akikazu",middleName:null,surname:"Takada",slug:"akikazu-takada",fullName:"Akikazu Takada",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248459/images/system/248459.png",biography:"Akikazu Takada was born in Japan, 1935. After graduation from\nKeio University School of Medicine and finishing his post-graduate studies, he worked at Roswell Park Memorial Institute NY,\nUSA. He then took a professorship at Hamamatsu University\nSchool of Medicine. In thrombosis studies, he found the SK\npotentiator that enhances plasminogen activation by streptokinase. He is very much interested in simultaneous measurements\nof fatty acids, amino acids, and tryptophan degradation products. By using fatty\nacid analyses, he indicated that plasma levels of trans-fatty acids of old men were\nfar higher in the US than Japanese men. . He also showed that eicosapentaenoic acid\n(EPA) and docosahexaenoic acid (DHA) levels are higher, and arachidonic acid\nlevels are lower in Japanese than US people. By using simultaneous LC/MS analyses\nof plasma levels of tryptophan metabolites, he recently found that plasma levels of\nserotonin, kynurenine, or 5-HIAA were higher in patients of mono- and bipolar\ndepression, which are significantly different from observations reported before. In\nview of recent reports that plasma tryptophan metabolites are mainly produced by\nmicrobiota. He is now working on the relationships between microbiota and depression or autism.",institutionString:"Hamamatsu University School of Medicine",institution:{name:"Hamamatsu University School of Medicine",country:{name:"Japan"}}},{id:"137240",title:"Prof.",name:"Mohammed",middleName:null,surname:"Khalid",slug:"mohammed-khalid",fullName:"Mohammed Khalid",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/137240/images/system/137240.png",biography:"Mohammed Khalid received his B.S. in Chemistry in July 2000, and his Ph.D. in Physical Chemistry in 2007 from the University of Khartoum, Sudan. In 2009 he joined the Dr. Ron Clarke research group at the School of Chemistry, Faculty of Science, University of Sydney, Australia as a postdoctoral fellow where he worked on the Interaction of ATP with the phosphoenzyme of the Na+, K+-ATPase, and Dual mechanisms of allosteric acceleration of the Na+, K+-ATPase by ATP. He then worked as Assistant Professor at the Department of Chemistry, University of Khartoum, and in 2014 was promoted to Associate Professor ranking. In 2011 he joined the staff of the Chemistry Department at Taif University, Saudi Arabia, where he is currently active as an Assistant Professor. His research interests include:\r\n(1) P-type ATPase Enzyme Kinetics and Mechanisms; (2) Kinetics and Mechanism of Redox Reactions; (3) Autocatalytic reactions; (4) Computational enzyme kinetics; (5) Allosteric acceleration of P-type ATPases by ATP; (6) Exploring of allosteric sites of ATPases and interaction of ATP with ATPases located in the cell membranes.",institutionString:"Taif University",institution:{name:"Taif University",country:{name:"Saudi Arabia"}}},{id:"63810",title:"Prof.",name:"Jorge",middleName:null,surname:"Morales-Montor",slug:"jorge-morales-montor",fullName:"Jorge Morales-Montor",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/63810/images/system/63810.png",biography:"Dr. Jorge Morales-Montor was recognized with the Lola and Igo Flisser PUIS Award for best graduate thesis at the national level in the field of parasitology. He received a fellowship from the Fogarty Foundation to perform postdoctoral research stay at the University of Georgia. He has 153 journal articles to his credit. He has also edited several books and published more than fifty-five book chapters. He is a member of the Mexican Academy of Sciences, Latin American Academy of Sciences, and the National Academy of Medicine. He has received more than thirty-five awards and has supervised numerous bachelor’s, master’s, and Ph.D. students. Dr. Morales-Montor is the past president of the Mexican Society of Parasitology.",institutionString:"National Autonomous University of Mexico",institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"217215",title:"Dr.",name:"Palash",middleName:null,surname:"Mandal",slug:"palash-mandal",fullName:"Palash Mandal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/217215/images/system/217215.jpeg",biography:null,institutionString:"Charusat University",institution:null},{id:"49739",title:"Dr.",name:"Leszek",middleName:null,surname:"Szablewski",slug:"leszek-szablewski",fullName:"Leszek Szablewski",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49739/images/system/49739.jpg",biography:"Leszek Szablewski is a professor of medical sciences. He received his M.S. in the Faculty of Biology from the University of Warsaw and his PhD degree from the Institute of Experimental Biology Polish Academy of Sciences. He habilitated in the Medical University of Warsaw, and he obtained his degree of Professor from the President of Poland. Professor Szablewski is the Head of Chair and Department of General Biology and Parasitology, Medical University of Warsaw. Professor Szablewski has published over 80 peer-reviewed papers in journals such as Journal of Alzheimer’s Disease, Biochim. Biophys. Acta Reviews of Cancer, Biol. Chem., J. Biomed. Sci., and Diabetes/Metabol. Res. Rev, Endocrine. He is the author of two books and four book chapters. He has edited four books, written 15 scripts for students, is the ad hoc reviewer of over 30 peer-reviewed journals, and editorial member of peer-reviewed journals. Prof. Szablewski’s research focuses on cell physiology, genetics, and pathophysiology. He works on the damage caused by lack of glucose homeostasis and changes in the expression and/or function of glucose transporters due to various diseases. He has given lectures, seminars, and exercises for students at the Medical University.",institutionString:"Medical University of Warsaw",institution:{name:"Medical University of Warsaw",country:{name:"Poland"}}},{id:"173123",title:"Dr.",name:"Maitham",middleName:null,surname:"Khajah",slug:"maitham-khajah",fullName:"Maitham Khajah",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/173123/images/system/173123.jpeg",biography:"Dr. Maitham A. Khajah received his degree in Pharmacy from Faculty of Pharmacy, Kuwait University, in 2003 and obtained his PhD degree in December 2009 from the University of Calgary, Canada (Gastrointestinal Science and Immunology). Since January 2010 he has been assistant professor in Kuwait University, Faculty of Pharmacy, Department of Pharmacology and Therapeutics. His research interest are molecular targets for the treatment of inflammatory bowel disease (IBD) and the mechanisms responsible for immune cell chemotaxis. He cosupervised many students for the MSc Molecular Biology Program, College of Graduate Studies, Kuwait University. Ever since joining Kuwait University in 2010, he got various grants as PI and Co-I. He was awarded the Best Young Researcher Award by Kuwait University, Research Sector, for the Year 2013–2014. He was a member in the organizing committee for three conferences organized by Kuwait University, Faculty of Pharmacy, as cochair and a member in the scientific committee (the 3rd, 4th, and 5th Kuwait International Pharmacy Conference).",institutionString:"Kuwait University",institution:{name:"Kuwait University",country:{name:"Kuwait"}}},{id:"195136",title:"Dr.",name:"Aya",middleName:null,surname:"Adel",slug:"aya-adel",fullName:"Aya Adel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/195136/images/system/195136.jpg",biography:"Dr. Adel works as an Assistant Lecturer in the unit of Phoniatrics, Department of Otolaryngology, Ain Shams University in Cairo, Egypt. Dr. Adel is especially interested in joint attention and its impairment in autism spectrum disorder",institutionString:"Ain Shams University",institution:{name:"Ain Shams University",country:{name:"Egypt"}}},{id:"94911",title:"Dr.",name:"Boulenouar",middleName:null,surname:"Mesraoua",slug:"boulenouar-mesraoua",fullName:"Boulenouar Mesraoua",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94911/images/system/94911.png",biography:"Dr Boulenouar Mesraoua is the Associate Professor of Clinical Neurology at Weill Cornell Medical College-Qatar and a Consultant Neurologist at Hamad Medical Corporation at the Neuroscience Department; He graduated as a Medical Doctor from the University of Oran, Algeria; he then moved to Belgium, the City of Liege, for a Residency in Internal Medicine and Neurology at Liege University; after getting the Belgian Board of Neurology (with high marks), he went to the National Hospital for Nervous Diseases, Queen Square, London, United Kingdom for a fellowship in Clinical Neurophysiology, under Pr Willison ; Dr Mesraoua had also further training in Epilepsy and Continuous EEG Monitoring for two years (from 2001-2003) in the Neurophysiology department of Zurich University, Switzerland, under late Pr Hans Gregor Wieser ,an internationally known epileptologist expert. \n\nDr B. Mesraoua is the Director of the Neurology Fellowship Program at the Neurology Section and an active member of the newly created Comprehensive Epilepsy Program at Hamad General Hospital, Doha, Qatar; he is also Assistant Director of the Residency Program at the Qatar Medical School. \nDr B. Mesraoua's main interests are Epilepsy, Multiple Sclerosis, and Clinical Neurology; He is the Chairman and the Organizer of the well known Qatar Epilepsy Symposium, he is running yearly for the past 14 years and which is considered a landmark in the Gulf region; He has also started last year , together with other epileptologists from Qatar, the region and elsewhere, a yearly International Epilepsy School Course, which was attended by many neurologists from the Area.\n\nInternationally, Dr Mesraoua is an active and elected member of the Commission on Eastern Mediterranean Region (EMR ) , a regional branch of the International League Against Epilepsy (ILAE), where he represents the Middle East and North Africa(MENA ) and where he holds the position of chief of the Epilepsy Epidemiology Section; Dr Mesraoua is a member of the American Academy of Neurology, the Europeen Academy of Neurology and the American Epilepsy Society.\n\nDr Mesraoua's main objectives are to encourage frequent gathering of the epileptologists/neurologists from the MENA region and the rest of the world, promote Epilepsy Teaching in the MENA Region, and encourage multicenter studies involving neurologists and epileptologists in the MENA region, particularly epilepsy epidemiological studies. \n\nDr. Mesraoua is the recipient of two research Grants, as the Lead Principal Investigator (750.000 USD and 250.000 USD) from the Qatar National Research Fund (QNRF) and the Hamad Hospital Internal Research Grant (IRGC), on the following topics : “Continuous EEG Monitoring in the ICU “ and on “Alpha-lactoalbumin , proof of concept in the treatment of epilepsy” .Dr Mesraoua is a reviewer for the journal \"seizures\" (Europeen Epilepsy Journal ) as well as dove journals ; Dr Mesraoua is the author and co-author of many peer reviewed publications and four book chapters in the field of Epilepsy and Clinical Neurology",institutionString:"Weill Cornell Medical College in Qatar",institution:{name:"Weill Cornell Medical College in Qatar",country:{name:"Qatar"}}},{id:"282429",title:"Prof.",name:"Covanis",middleName:null,surname:"Athanasios",slug:"covanis-athanasios",fullName:"Covanis Athanasios",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/282429/images/system/282429.jpg",biography:null,institutionString:"Neurology-Neurophysiology Department of the Children Hospital Agia Sophia",institution:null},{id:"190980",title:"Prof.",name:"Marwa",middleName:null,surname:"Mahmoud Saleh",slug:"marwa-mahmoud-saleh",fullName:"Marwa Mahmoud Saleh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/190980/images/system/190980.jpg",biography:"Professor Marwa Mahmoud Saleh is a doctor of medicine and currently works in the unit of Phoniatrics, Department of Otolaryngology, Ain Shams University in Cairo, Egypt. She got her doctoral degree in 1991 and her doctoral thesis was accomplished in the University of Iowa, United States. Her publications covered a multitude of topics as videokymography, cochlear implants, stuttering, and dysphagia. She has lectured Egyptian phonology for many years. Her recent research interest is joint attention in autism.",institutionString:"Ain Shams University",institution:{name:"Ain Shams University",country:{name:"Egypt"}}},{id:"259190",title:"Dr.",name:"Syed Ali Raza",middleName:null,surname:"Naqvi",slug:"syed-ali-raza-naqvi",fullName:"Syed Ali Raza Naqvi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259190/images/system/259190.png",biography:"Dr. Naqvi is a radioanalytical chemist and is working as an associate professor of analytical chemistry in the Department of Chemistry, Government College University, Faisalabad, Pakistan. Advance separation techniques, nuclear analytical techniques and radiopharmaceutical analysis are the main courses that he is teaching to graduate and post-graduate students. In the research area, he is focusing on the development of organic- and biomolecule-based radiopharmaceuticals for diagnosis and therapy of infectious and cancerous diseases. Under the supervision of Dr. Naqvi, three students have completed their Ph.D. degrees and 41 students have completed their MS degrees. He has completed three research projects and is currently working on 2 projects entitled “Radiolabeling of fluoroquinolone derivatives for the diagnosis of deep-seated bacterial infections” and “Radiolabeled minigastrin peptides for diagnosis and therapy of NETs”. He has published about 100 research articles in international reputed journals and 7 book chapters. Pakistan Institute of Nuclear Science & Technology (PINSTECH) Islamabad, Punjab Institute of Nuclear Medicine (PINM), Faisalabad and Institute of Nuclear Medicine and Radiology (INOR) Abbottabad are the main collaborating institutes.",institutionString:"Government College University",institution:{name:"Government College University, Faisalabad",country:{name:"Pakistan"}}},{id:"58390",title:"Dr.",name:"Gyula",middleName:null,surname:"Mozsik",slug:"gyula-mozsik",fullName:"Gyula Mozsik",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/58390/images/system/58390.png",biography:"Gyula Mózsik MD, Ph.D., ScD (med), is an emeritus professor of Medicine at the First Department of Medicine, Univesity of Pécs, Hungary. He was head of this department from 1993 to 2003. His specializations are medicine, gastroenterology, clinical pharmacology, clinical nutrition, and dietetics. His research fields are biochemical pharmacological examinations in the human gastrointestinal (GI) mucosa, mechanisms of retinoids, drugs, capsaicin-sensitive afferent nerves, and innovative pharmacological, pharmaceutical, and nutritional (dietary) research in humans. He has published about 360 peer-reviewed papers, 197 book chapters, 692 abstracts, 19 monographs, and has edited 37 books. He has given about 1120 regular and review lectures. He has organized thirty-eight national and international congresses and symposia. He is the founder of the International Conference on Ulcer Research (ICUR); International Union of Pharmacology, Gastrointestinal Section (IUPHAR-GI); Brain-Gut Society symposiums, and gastrointestinal cytoprotective symposiums. He received the Andre Robert Award from IUPHAR-GI in 2014. Fifteen of his students have been appointed as full professors in Egypt, Cuba, and Hungary.",institutionString:"University of Pécs",institution:{name:"University of Pecs",country:{name:"Hungary"}}},{id:"277367",title:"M.Sc.",name:"Daniel",middleName:"Martin",surname:"Márquez López",slug:"daniel-marquez-lopez",fullName:"Daniel Márquez López",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/277367/images/7909_n.jpg",biography:"Msc Daniel Martin Márquez López has a bachelor degree in Industrial Chemical Engineering, a Master of science degree in the same área and he is a PhD candidate for the Instituto Politécnico Nacional. His Works are realted to the Green chemistry field, biolubricants, biodiesel, transesterification reactions for biodiesel production and the manipulation of oils for therapeutic purposes.",institutionString:null,institution:{name:"Instituto Politécnico Nacional",country:{name:"Mexico"}}},{id:"196544",title:"Prof.",name:"Angel",middleName:null,surname:"Catala",slug:"angel-catala",fullName:"Angel Catala",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/196544/images/system/196544.jpg",biography:"Angel Catalá studied chemistry at Universidad Nacional de La Plata, Argentina, where he received a Ph.D. in Chemistry (Biological Branch) in 1965. From 1964 to 1974, he worked as an Assistant in Biochemistry at the School of Medicine at the same university. From 1974 to 1976, he was a fellow of the National Institutes of Health (NIH) at the University of Connecticut, Health Center, USA. From 1985 to 2004, he served as a Full Professor of Biochemistry at the Universidad Nacional de La Plata. He is a member of the National Research Council (CONICET), Argentina, and the Argentine Society for Biochemistry and Molecular Biology (SAIB). His laboratory has been interested for many years in the lipid peroxidation of biological membranes from various tissues and different species. Dr. Catalá has directed twelve doctoral theses, published more than 100 papers in peer-reviewed journals, several chapters in books, and edited twelve books. He received awards at the 40th International Conference Biochemistry of Lipids 1999 in Dijon, France. He is the winner of the Bimbo Pan-American Nutrition, Food Science and Technology Award 2006 and 2012, South America, Human Nutrition, Professional Category. In 2006, he won the Bernardo Houssay award in pharmacology, in recognition of his meritorious works of research. Dr. Catalá belongs to the editorial board of several journals including Journal of Lipids; International Review of Biophysical Chemistry; Frontiers in Membrane Physiology and Biophysics; World Journal of Experimental Medicine and Biochemistry Research International; World Journal of Biological Chemistry, Diabetes, and the Pancreas; International Journal of Chronic Diseases & Therapy; and International Journal of Nutrition. He is the co-editor of The Open Biology Journal and associate editor for Oxidative Medicine and Cellular Longevity.",institutionString:"Universidad Nacional de La Plata",institution:{name:"National University of La Plata",country:{name:"Argentina"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",slug:"francisco-javier-martin-romero",fullName:"Francisco Javier Martin-Romero",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",biography:"Francisco Javier Martín-Romero (Javier) is a Professor of Biochemistry and Molecular Biology at the University of Extremadura, Spain. He is also a group leader at the Biomarkers Institute of Molecular Pathology. Javier received his Ph.D. in 1998 in Biochemistry and Biophysics. At the National Cancer Institute (National Institute of Health, Bethesda, MD) he worked as a research associate on the molecular biology of selenium and its role in health and disease. After postdoctoral collaborations with Carlos Gutierrez-Merino (University of Extremadura, Spain) and Dario Alessi (University of Dundee, UK), he established his own laboratory in 2008. The interest of Javier's lab is the study of cell signaling with a special focus on Ca2+ signaling, and how Ca2+ transport modulates the cytoskeleton, migration, differentiation, cell death, etc. He is especially interested in the study of Ca2+ channels, and the role of STIM1 in the initiation of pathological events.",institutionString:null,institution:{name:"University of Extremadura",country:{name:"Spain"}}},{id:"217323",title:"Prof.",name:"Guang-Jer",middleName:null,surname:"Wu",slug:"guang-jer-wu",fullName:"Guang-Jer Wu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/217323/images/8027_n.jpg",biography:null,institutionString:null,institution:null},{id:"148546",title:"Dr.",name:"Norma Francenia",middleName:null,surname:"Santos-Sánchez",slug:"norma-francenia-santos-sanchez",fullName:"Norma Francenia Santos-Sánchez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/148546/images/4640_n.jpg",biography:null,institutionString:null,institution:null},{id:"272889",title:"Dr.",name:"Narendra",middleName:null,surname:"Maddu",slug:"narendra-maddu",fullName:"Narendra Maddu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/272889/images/10758_n.jpg",biography:null,institutionString:null,institution:null},{id:"242491",title:"Prof.",name:"Angelica",middleName:null,surname:"Rueda",slug:"angelica-rueda",fullName:"Angelica Rueda",position:"Investigador Cinvestav 3B",profilePictureURL:"https://mts.intechopen.com/storage/users/242491/images/6765_n.jpg",biography:null,institutionString:null,institution:null},{id:"88631",title:"Dr.",name:"Ivan",middleName:null,surname:"Petyaev",slug:"ivan-petyaev",fullName:"Ivan Petyaev",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Lycotec (United Kingdom)",country:{name:"United Kingdom"}}},{id:"423869",title:"Ms.",name:"Smita",middleName:null,surname:"Rai",slug:"smita-rai",fullName:"Smita Rai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Integral University",country:{name:"India"}}},{id:"424024",title:"Prof.",name:"Swati",middleName:null,surname:"Sharma",slug:"swati-sharma",fullName:"Swati Sharma",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Integral University",country:{name:"India"}}},{id:"439112",title:"MSc.",name:"Touseef",middleName:null,surname:"Fatima",slug:"touseef-fatima",fullName:"Touseef Fatima",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Integral University",country:{name:"India"}}},{id:"424836",title:"Dr.",name:"Orsolya",middleName:null,surname:"Borsai",slug:"orsolya-borsai",fullName:"Orsolya Borsai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca",country:{name:"Romania"}}}]}},subseries:{item:{id:"94",type:"subseries",title:"Climate Change and Environmental Sustainability",keywords:"Environmental protection, Socio-economic development, Resource exploitation, Environmental degradation, Climate change, Degraded ecosystems, Biodiversity loss",scope:"
\r\n\tSustainable development focuses on linking economic development with environmental protection and social development to ensure future prosperity for people and the planet. To tackle global challenges of development and environment, the United Nations General Assembly in 2015 adopted the 17 Sustainable Development Goals. SDGs emphasize that environmental sustainability should be strongly linked to socio-economic development, which should be decoupled from escalating resource use and environmental degradation for the purpose of reducing environmental stress, enhancing human welfare, and improving regional equity. Moreover, sustainable development seeks a balance between human development and decrease in ecological/environmental marginal benefits. Under the increasing stress of climate change, many environmental problems have emerged causing severe impacts at both global and local scales, driving ecosystem service reduction and biodiversity loss. Humanity’s relationship with resource exploitation and environment protection is a major global concern, as new threats to human and environmental security emerge in the Anthropocene. Currently, the world is facing significant challenges in environmental sustainability to protect global environments and to restore degraded ecosystems, while maintaining human development with regional equality. Thus, environmental sustainability with healthy natural ecosystems is critical to maintaining human prosperity in our warming planet.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/94.jpg",hasOnlineFirst:!0,hasPublishedBooks:!1,annualVolume:11978,editor:{id:"61855",title:"Dr.",name:"Yixin",middleName:null,surname:"Zhang",slug:"yixin-zhang",fullName:"Yixin Zhang",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYWJgQAO/Profile_Picture_2022-06-09T11:36:35.jpg",biography:"Professor Yixin Zhang is an aquatic ecologist with over 30 years of research and teaching experience in three continents (Asia, Europe, and North America) in Stream Ecology, Riparian Ecology, Urban Ecology, and Ecosystem Restoration and Aquatic Conservation, Human-Nature Interactions and Sustainability, Urbanization Impact on Aquatic Ecosystems. He got his Ph.D. in Animal Ecology at Umeå University in Sweden in 1998. He conducted postdoc research in stream ecology at the University of California at Santa Barbara in the USA. After that, he was a postdoc research fellow at the University of British Columbia in Canada to do research on large-scale stream experimental manipulation and watershed ecological survey in temperate rainforests of BC. He was a faculty member at the University of Hong Kong to run ecological research projects on aquatic insects, fishes, and newts in Tropical Asian streams. He also conducted research in streams, rivers, and caves in Texas, USA, to study the ecology of macroinvertebrates, big-claw river shrimp, fish, turtles, and bats. 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\r\n\tIn general, the harsher the environmental conditions in an ecosystem, the lower the biodiversity. Changes in the environment caused by human activity accelerate the impoverishment of biodiversity.
\r\n
\r\n\tBiodiversity refers to “the variability of living organisms from any source, including terrestrial, marine and other aquatic ecosystems and the ecological complexes of which they are part; it includes diversity within each species, between species, and that of ecosystems”.
\r\n
\r\n\tBiodiversity provides food security and constitutes a gene pool for biotechnology, especially in the field of agriculture and medicine, and promotes the development of ecotourism.
\r\n
\r\n\tCurrently, biologists admit that we are witnessing the first phases of the seventh mass extinction caused by human intervention. It is estimated that the current rate of extinction is between a hundred and a thousand times faster than it was when man first appeared. The disappearance of species is caused not only by an accelerated rate of extinction, but also by a decrease in the rate of emergence of new species as human activities degrade the natural environment. The conservation of biological diversity is "a common concern of humanity" and an integral part of the development process. Its objectives are “the conservation of biological diversity, the sustainable use of its components, and the fair and equitable sharing of the benefits resulting from the use of genetic resources”.
\r\n
\r\n\tThe following are the main causes of biodiversity loss:
\r\n
\r\n\t• The destruction of natural habitats to expand urban and agricultural areas and to obtain timber, minerals and other natural resources.
\r\n
\r\n\t• The introduction of alien species into a habitat, whether intentionally or unintentionally which has an impact on the fauna and flora of the area, and as a result, they are reduced or become extinct.
\r\n
\r\n\t• Pollution from industrial and agricultural products, which devastate the fauna and flora, especially those in fresh water.
\r\n
\r\n\t• Global warming, which is seen as a threat to biological diversity, and will become increasingly important in the future.
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\r\n\tThe environment is subject to severe anthropic effects. Among them are those associated with pollution, resource extraction and overexploitation, loss of biodiversity, soil degradation, disorderly land occupation and planning, and many others. These anthropic effects could potentially be caused by any inadequate management of the environment. However, ecosystems have a resilience that makes them react to disturbances which mitigate the negative effects. It is critical to understand how ecosystems, natural and anthropized, including urban environments, respond to actions that have a negative influence and how they are managed. It is also important to establish when the limits marked by the resilience and the breaking point are achieved and when no return is possible. The main focus for the chapters is to cover the subjects such as understanding how the environment resilience works, the mechanisms involved, and how to manage them in order to improve our interactions with the environment and promote the use of adequate management practices such as those outlined in the United Nations’ Sustainable Development Goals.
\r\n\tPollution is caused by a wide variety of human activities and occurs in diverse forms, for example biological, chemical, et cetera. In recent years, significant efforts have been made to ensure that the environment is clean, that rigorous rules are implemented, and old laws are updated to reduce the risks towards humans and ecosystems. However, rapid industrialization and the need for more cultivable sources or habitable lands, for an increasing population, as well as fewer alternatives for waste disposal, make the pollution control tasks more challenging. Therefore, this topic will focus on assessing and managing environmental pollution. It will cover various subjects, including risk assessment due to the pollution of ecosystems, transport and fate of pollutants, restoration or remediation of polluted matrices, and efforts towards sustainable solutions to minimize environmental pollution.
\r\n\tWater is not only a crucial substance needed for biological life on Earth, but it is also a basic requirement for the existence and development of the human society. Owing to the importance of water to life on Earth, early researchers conducted numerous studies and analyses on the liquid form of water from the perspectives of chemistry, physics, earth science, and biology, and concluded that Earth is a "water polo". Water covers approximately 71% of Earth's surface. However, 97.2% of this water is seawater, 21.5% is icebergs and glaciers, and only 0.65% is freshwater that can be used directly by humans. As a result, the amount of water reserves available for human consumption is limited. The development, utilization, and protection of freshwater resources has become the focus of water science research for the continued improvement of human livelihoods and society.
\r\n
\r\n\tWater exists as solid, liquid, and gas within Earth’s atmosphere, lithosphere, and biosphere. Liquid water is used for a variety of purposes besides drinking, including power generation, ecology, landscaping, and shipping. Because water is involved in various environmental hydrological processes as well as numerous aspects of the economy and human society, the study of various phenomena in the hydrosphere, the laws governing their occurrence and development, the relationship between the hydrosphere and other spheres of Earth, and the relationship between water and social development, are all part of water science. Knowledge systems for water science are improving continuously. Water science has become a specialized field concerned with the identification of its physical, chemical, and biological properties. In addition, it reveals the laws of water distribution, movement, and circulation, and proposes methods and tools for water development, utilization, planning, management, and protection. Currently, the field of water science covers research related to topics such as hydrology, water resources and water environment. It also includes research on water related issues such as safety, engineering, economy, law, culture, information, and education.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/41.jpg",keywords:"Water, Water resources, Freshwater, Hydrological processes, Utilization, Protection"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},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. 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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. This topic will closely deal with all emerging trends in this discipline.",annualVolume:11411,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,editorialBoard:[{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},{id:"17",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. 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. 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