Chronic diseases are the leading cause of deaths worldwide and according to the World Economics Council and the Harvard School of Public Health, the cost of chronic diseases is expected to reach a staggering 48% of global gross domestic product by the year 2030. The urgency of the issue was demonstrated in 2011 when for only the second time in its existence, the U.N. General Assembly brought a health issue to the floor for consideration: chronic diseases.

To date, most considerations of the issue have approached the topic from the vantage point that chronic diseases are a myriad of largely unconnected diseases and conditions arising in diverse tissues, organs and physiological systems. This book, "Immunotoxicity, Immune Dysfuction, and Chronic Disease," deviates from that prior model. It considers the interconnectivity of chronic diseases with both environmental insult of the immune system and subsequent immune dysfunction and inflammatory dysregulation as the underlying basis for many, if not most, chronic diseases.

This change in the perception of environment-immune linkages to chronic disease is significant and has immediate implications both for the prevention of disease as well as for the development of more effective therapeutic approaches. Rather than considering environmental factors and types of reported immune alterations ("e.g., " depressed humoral immunity) as is common in books involving immunotoxicity, the present book approaches the environment-immune-disease triad from the standpoint of the disease. Each chapter emphasizes one or more specific immune dysfunction-based chronic disease(s) or condition(s) ("e.g., " asthma, atherosclerosis, multiple sclerosis, lupus) and describes: 1) the suggested environmental risk factors, 2) the underlying immune dysfunction(s) associated with the disease and 3) the overall health consequences of the disease.

This book is an early entry for a new Toxicology book series for Springer titled: Molecular and Integrative Toxicology (MaIT). The series will feature detailed research information, but in the context of a more integrative or holistic framework. As part of this framework, the chapters will contain a section on Key Points as well as Recommendations where appropriate. The goal is to cover the most timely, state-of-the-art issues in toxicology as well as to ensure that the information is maximally accessible for research scientists, teachers, physicians and students. We are particularly grateful to the numerous chapter authors for providing comprehensive and expert disease-oriented contributions. We are also appreciative of their willingness to consider their material not as disparate pieces of what has become a major health crisis, but rather as key pieces in a network of apparently interconnected health challenges."

This detailed volume explores the field of bacterial virulence and the effort to understand how microbial interaction with a host results in the pathology of a specific disease. This collection of selected protocols includes advanced molecular biology and bioinformatics methods, cell culture and organoid models of infection, as well as in vivo infection models that are useful to study the interaction of pathogens with plants, insects, avian, and mammalian hosts. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and beneficial, Bacterial Virulence: Methods and Protocols serves as an ideal guide for researchers seeking to promote and further develop the exciting and continuously evolving field of bacterial virulence. Chapter 19 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This volume details protocols on rationale design of therapeutic siRNA molecules and its encapsulation with smart vehicles to overcome the barriers to an effective administration in vivo. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Design and Delivery of SiRNA Therapeutics aims to ensure successful results in the further study of this vital field.

This detailed book focuses on cutting-edge methods for Parkinson's disease (PD) research, such as the analysis of the prion-like properties of -synuclein, mitochondrial functions related to the PINK1-Parkin pathway/CHCHD2, the endolysosome pathway related to LRRK2, VPS35, and ATP13A2 using cultured cells (including patient iPS cells), deep brain stimulation therapy, classic mitochondrial toxins related to PD, and genetic associations and screenings using mammalian and invertebrate genetic models of PD. The collection intends to serve as an introductory protocol book for basic research on PD pathogenesis. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Experimental Models of Parkinson's Disease is an ideal guide for researchers continuing to work toward making PD risk predictable and surmountable.

This book presents a comprehensive view on mycotoxins of agricultural as well as non-agricultural environments and their health effects in humans and animals. Mycotoxins have immunosuppressive effects; but some of them can cause cancers, mutagenicity, neurotoxicity, liver and kidney damage, birth defects, DNA damage and respiratory disorders. The problem of mycotoxins is long-lasting and their direct or indirect exposures to humans and animals must be further discussed. The first chapter will cover the historical perspective of mycotoxins along with timeline while the second one will provide overview including classification of mycotoxins and mycotoxicoses. The comprehensive information/ literature on traditional, emerging and mushroom mycotoxins will be given in chapters 3, 4 and 5 respectively. Chapter 6 will deal with mycotoxins co-occurrence poisoning whereas new and masked mycotoxins will be described in chapter 7. The important aspects of mycotoxin studies like extraction, characterization and analysis and management strategies will be summarized in 8 and 9 chapters. The last chapter of the book will cover the recent developments in toxicokinetic studies of mycotoxins. The book will have the most up-to-date information and recent discoveries to deliver accurate data and to illustrate essential points to a wide range of readers including mycologists, clinicians, agricultural scientists, chemists, veterinarians, environmentalists and food scientists.

This book examines the sequence of events and methodology in the industrial clinical research process; a reference for multidisciplinary personnel. It is the conceptual framework involving the philosophical, economic, political, historical, regulatory, planning, and marketing aspects of the process.

This book describes in 13 chapters mechanisms of P450 used to monooxygenate substrates via the NAD(P)H/O2 pathway using its peroxidase and peroxygenase functions. P450 also utilizes peroxides, peracids, periodate and iodosobenzene to oxygenate substrates via the shunt pathway. Also described are mechanisms used in the oxidation of pharmaceuticals by CYP3A4; acyl- carbon cleavage by CYP17A1, CYP19A1 and CYP51A1; metabolism of tetrabromodiphenyl ethers and bile acids by CYP2B6 and CYP3A4; metabolism of -6 and -3 polyunsaturated fatty acids; H2O2-mediated peroxygenation of substrates using substrate misrecognition; P450 oxidative reactions using electrochemical methods; electron transfer to P450 by redox proteins; hydroxylation of 1,8-cineole by P450cin; and peroxygenation by unspecific peroxygenases using H2O2. The topics covered are relevant to P450 researchers, professors and students from a variety of disciplines ranging from pharmacology, toxicology and microbiology to chemistry.

"Quantitative Research Methods for Health Professionals: A Practical Interactive Course" is a superb introduction to epidemiology, biostatistics, and research methodology for the whole health care community.

Drawing examples from a wide range of health research, this practical handbook covers important contemporary health research methods such as survival analysis, Cox regression, and meta-analysis, the understanding of which go beyond introductory concepts.

The book includes self-assessment exercises throughout to help students explore and reflect on their understanding and a clear distinction is made between a) knowledge and concepts that all students should ensure they understand and b) those that can be pursued by students who wish to do so.

The authors incorporate a program of practical exercises in SPSS using a prepared data set that helps to consolidate the theory and develop skills and confidence in data handling, analysis and interpretation.

This installment in the Techniques in Life Science and Biomedicine for the Non-Expert series aims to describe ESR spectroscopy as a tool for different applications, such as Healthcare & Pharmaceutical Science, Paleontology & Geochronology and Food Science. In keeping with the series theme, this text is presented in such a manner that the amateur researcher or graduate student can absorb it, while highlighting recent advances and applications of the field. Chapters include solved examples and questions to reinforce themes and encourage readers to apply what they've learnt.

This book introduces the translational informatics applied to most aspects of virus infection, including tracking of virus origin, detection and prevention of infection, drug discovery, and vaccine design as well as smart city-level monitoring and controlling of the virus epidemic by government. It covers the informatics for data mining and modelling at molecular, tissue/organ, individual, and population levels. The informatics for immunological mechanisms and the personalized prediction and treatment of infected patients are also summarized. The perspectives on the application of artificial intelligence to the prevention of virus outbreaks are also given. This book will be helpful to readers who are interested in prevention of virus infection, biomedical informatics, and artificial intelligence in medicine and healthcare.

Upon completion of the human genome project over 800 G protein-coupled receptor 1 (GPCR) genes, subdivided into five categories, were identified. These receptors sense a diverse array of stimuli, including peptides, ions, lipid analogues, light and odour, in a discriminating fashion. Subsequently, they transduce a signal from the ligand-receptor complex into numerous cellular responses. The importance of GPCRs is further reflected in the fact that they constitute the most common target for therapeutic drugs across a 2 wide range of human disorders. Phylogenetic analysis of GPCRs produced the GRAFS classification system, which subdivides GPCRs into five discrete families: glutamate, rhodopsin, adhesion, frizzled/taste2 and secretin receptors. The adhesion-GPCR family 2 can be further subdivided into eight groups. The field of adhesion-GPCR biology has indeed become large enough to require a volume dedicated solely to this field. The contributors to this book have made a courageous effort to address the key concepts of adhesion-GPCR biology, including the evolution and biochemistry of adhesion-GPCRs; there are extensive discussions on the functional nature of these receptors during development, the immune response and tumourgenesis. Finally, there are chapters dedicated to adhesion-GPCR signalling, an area of intense investigation.

Combining the latest thinking in the field with practical, step-by-step guidance, the Third Edition of John W. Creswell and Vicki L. Plano Clark's Designing and Conducting Mixed Methods Research now covers seven mixed methods designs with accompanying journal articles illustrating each design. The authors walk readers through the entire research process, and present updated examples from published mixed methods studies drawn from multiple disciplines. In addition, this new edition includes information about the dynamic and evolving nature of the field of mixed methods research, four additional methodological approaches, and coverage of new directions in mixed methods.

Two decades have passed since trinucleotide repeat expansion was first discovered in genes responsible for certain neurological diseases. Since then, new technologies have developed and innovative concepts have emerged, which may prove useful in devising therapeutic approaches to neurological diseases. Divided into six convenient sections, Trinucleotide Repeat Protocols, Second Edition covers a wide range of topics such as an overview of trinucleotide repeat diseases, synaptic plasticity, embryonic stem (ES) cell-related protocols with a focus on HD, RNA-related protocols, and analysis of epigenetic modification in fragile X syndrome. This edition focuses not only on direct analysis of trinucleotide repeat diseases but also on alternative approaches for the analysis of trinucleotide repeat diseases, with the hope that this will result in a better understanding of the mechanisms and future therapeutic prospects for treatment of these diseases. Written in the successful Methods in Molecular Biology (TM) series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, Trinucleotide Repeat Protocols, Second Edition seeks to serve researchers with its thorough methodologies on this expanding field.

The book will discuss the molecular mechanisms of cancer diseases, stem cell proliferation and transformation into cancer cells beyond the physiological processes that occur in normal stem cell biology. Some of the key oncogenic events in cancer and their signaling pathways that regulate cell division cycle progression will be described considering prospects for using such knowledge in advanced cancer therapy. Each chapter shall provide an invaluable resource for information on the most current advances in the field, with discussion of controversial issues and areas of emerging importance

"Bioinformatics of Human Proteomics" discusses the development of methods, techniques and applications in the field of protein bioinformatics, an important direction in bioinformatics. It collects contributions from expert researchers in order to provide a practical guide to this complex field of study. The book covers the protein interaction network, drug discovery and development, the relationship between translational medicine and bioinformatics, and advances in proteomic methods, while also demonstrating important bioinformatics tools and methods available today for protein analysis, interpretation and predication. It is intended for experts or senior researchers in the fields of clinical research-related biostatistics, bioinformatics, computational biology, medicine, statistics, system biology, molecular diagnostics, biomarkers, or drug discovery and development. Dr.Xiangdong Wang works as a distinguished professor of Respiratory Medicine at Fudan University, Shanghai, China. He serves as Director of Biomedical Research Center, Fudan University Zhongshan Hospital and adjunct professor of Clinical Bioinformatics at Lund University, Sweden. His main research is focused on the role of clinical bioinformatics in the development of disease-specific biomarkers and dynamic network biomarkers, the molecular mechanism of organ dysfunction and potential therapies.

The current textbook has been written as a help to medical / health professionals and students for the study of modern Bayesian statistics, where posterior and prior odds have been replaced with posterior and prior likelihood distributions. Why may likelihood distributions better than normal distributions estimate uncertainties of statistical test results? Nobody knows for sure, and the use of likelihood distributions instead of normal distributions for the purpose has only just begun, but already everybody is trying and using them. SPSS statistical software version 25 (2017) has started to provide a combined module entitled Bayesian Statistics including almost all of the modern Bayesian tests (Bayesian t-tests, analysis of variance (anova), linear regression, crosstabs etc.). Modern Bayesian statistics is based on biological likelihoods, and may better fit clinical data than traditional tests based normal distributions do. This is the first edition to systematically imply modern Bayesian statistics in traditional clinical data analysis. This edition also demonstrates that Markov Chain Monte Carlo procedures laid out as Bayesian tests provide more robust correlation coefficients than traditional tests do. It also shows that traditional path statistics are both textually and conceptionally like Bayes theorems, and that structural equations models computed from them are the basis of multistep regressions, as used with causal Bayesian networks.

Helps researchers in proteomics and oncology work together to understand, prevent, and cure cancer

Proteomic data is increasingly important to understanding the origin and progression of cancer; however, most oncologic researchers who depend on proteomics for their studies do not collect the data themselves. As a result, there is a knowledge gap between scientists, who devise proteomic techniques and collect the data, and the oncologic researchers, who are expected to interpret and apply proteomic data. Bridging the gap between proteomics and oncology research, this book explains how proteomic technology can be used to address some of the most important questions in cancer research.

"Proteomic Applications in Cancer Detection and Discovery "enables readers to understand how proteomic data is acquired and analyzed and how it is interpreted. Author Timothy Veenstra has filled the book with examples--many based on his own firsthand research experience--that clearly demonstrate the application of proteomic technology in oncology research, including the discovery of novel biomarkers for different types of cancers.

The book begins with a brief introduction to systems biology, explaining why cancer is a systems biology disease. Next, it covers such topics as: Mass spectrometry in cancer researchApplication of proteomics to global phosphorylation analysisSearch for biomarkers in biofluidsRise and fall of proteomic patterns for cancer diagnosticsEmergence of protein arraysRole of proteomics in personalized medicine

The final chapter is dedicated to the future prospects of proteomics in cancer research.

By guiding readers through the latest proteomic technologies and their applications in cancer research, "Proteomic Applications in Cancer Detection and Discovery" enhances the ability of researchers in proteomics and researchers in oncology to collaborate in order to better understand cancer and develop strategies to prevent and treat it.

This volume details a collection of laboratory protocols to study asthma in mice and humans. Chapters cover animal models of asthma, methods to measure asthma-related molecules, protocols to detect, isolate, culture and stimulate cells that contribute to asthma in mice and humans, methods to deplete these cells in vivo and study responses of intact airway tissues ex vivo. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Asthma: Methods and Protocols aims to be a foundation for future studies and to be a source of inspiration for new investigations in the field.

The Systems Biology of Parkinson s Disease will be underpinned by new measurement techniques. This is particularly true of the pathology of Parkinson's Disease, where recent developments in brain imaging have offered new insights into the morphology of dopaminergic neurons that have profound implications for the special vulnerability and role of this class of neurons.

Navigating research careers is often highly challenging for early career researchers (ECRs) in the social sciences. The ability to thrive in research careers is complex and requires "soft" people and management skills and resilience that often cannot be formally taught through university coursework. Written from a peer perspective, this book provides guidance and establishes emotional rapport on topical issues relevant for ECRs in academia and industry. The authors are ECRs who have been successful in navigating their careers, and they seek to connect with readers in a supportive and collegial manner. Each chapter includes elements of story-telling and scientific thinking and is organized into three parts: (1) a personal story that is relevant to the topic; (2) key content on professional and personal effectiveness based on evidence in the psychological, sociological, and/or management sciences; and (3) action points and practical recommendations. The topics covered are specifically curated for people considering undertaking research careers or already working in research, including: Work Hard, Snore Hard: Recovery from Work for Early Career Researchers Networking and Collaborating in Academia: Increasing Your Scientific Impact and Having Fun in the Process Accelerating Your Research Career with Open Science Engaging with the Press and Media Make Your Science Go Viral: How to Maximize the Impact of Your Research Exploring the Horizon: Navigating Research Careers Outside of Academia Thinking like an Implementation Scientist and Applying Your Research in Practice Survival Guide for Early Career Researchers summarizes relevant evidence-based research to offer advice in strategic but also supportive ways to ECRs. It is an essential go-to practical resource for PhD students, postdoctoral fellows, and junior faculty. This book will also benefit senior researchers who are serving as mentors or delivering professional development programs, administrators and educators in institutions of higher learning, and anyone with an interest in building a successful research career.

This volume provides methodologies for ES and iPS cell technology on the study of cardiovascular diseases. Chapters guide readers through protocols on cardiomyocyte generation from pluripotent stem cells, physiological measurements, bioinformatic analysis, gene editing technology, and cell transplantation studies. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Pluripotent Stem-Cell Derived Cardiomyocytes aims to help researchers set up experiments using pluripotent stem cell-derived cardiac cells.

Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the analysis of infectious disease epidemics in a single volume. Recent collections have focused in the analyses and simulation of deterministic and stochastic models whose aim is to identify and rank epidemiological and social mechanisms responsible for disease transmission. The contributions in this volume focus on the connections between models and disease data with emphasis on the application of mathematical and statistical approaches that quantify model and data uncertainty. The book is aimed at public health experts, applied mathematicians and sci- tists in the life and social sciences, particularly graduate or advanced undergraduate students, who are interested not only in building and connecting models to data but also in applying and developing methods that quantify uncertainty in the context of infectious diseases. Chowell and Brauer open this volume with an overview of the classical disease transmission models of Kermack-McKendrick including extensions that account for increased levels of epidemiological heterogeneity. Their theoretical tour is followed by the introduction of a simple methodology for the estimation of, the basic reproduction number,R . The use of this methodology 0 is illustrated, using regional data for 1918-1919 and 1968 in uenza pandemics.

Today, nature is used as a source of inspiration for the development of new techniques for solving complex problems in various domains, from engineering to biology, with innovative adaptations under investigation. ""The Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies"" provides the latest empirical research findings, theoretical frameworks, and technologies of natural computing and artificial immune systems (AIS). An excellent reference source for professionals, researchers, and academicians within the AIS and natural computing fields, this comprehensive collection written by leading international experts proposes new ideas, methods, and theories to solve problems of engineering and science. It features: 24 authoritative contributions by over 45 of the world's leading experts on artificial immune systems and natural computing from 13 countries; comprehensive coverage of each specific topic, highlighting recent trends and describing the latest advances in the field; more than 900 references to existing literature and research on artificial immune systems and natural computing; and, a compendium of over 195 key terms with detailed definitions. It is organized by topic and indexed, making it a convenient method of reference for all IT/IS scholars and professionals. It offers cross-referencing of key terms, figures, and information pertinent to artificial immune systems and natural computing.

This book will review work from a number of researchers who have produced open source software addressing the need for data management, integration, analysis, and visualization to aid cancer research. With the advent of high-throughput technologies in biomedicine, the need for data management and appropriate data analysis tools in genomics has increased dramatically, joining clinical trials data as a major driver of informatics at cancer research centers.

The gathering of this data requires careful encoding of metadata, usually through the use of controlled vocabularies or ontologies, as well as the linking of data from model organisms, done at both a physiological level (e.g., anatomy) and at a molecular level (e.g., orthology). This data will then find use within computational and statistical models, which require data pipelines and analysis systems, as well as algorithms, visualization methods, and computational modeling systems. We will introduce open source tools available for these aspects of the problem.

The editors plan to divide the book into five sections, beginning with a section containing high level overviews of the field and key issues. This will include an introductory review of informatics in cancer research, followed by five overviews addressing issues in authentication and authorization, data management, data pipelines and annotations, algorithms and models, and the NCI caBIG initiative. This will be followed by sections dedicated to data systems, data pipelines, algorithms for analysis and visualization, and modeling systems. Each of these areas has seen publication of open source tools, ranging from the widely known R/Bioconductor package to little known but powerful systems such as SImmune for biochemical modeling. The area of laboratory information management systems has seen development of a number of unpublished but powerful systems, which we would also include. Three groups have agreed to provide chapters in this area (USC/Norris CAFE extensible clinical trials system, St Jude Unified LIMS, Fox Chase/British Columbia flow cytometry LIMS).

While there has been a great deal of development of informatics tools that can be applied to problems in cancer research, there has not been adequate dissemination of details on these tools to the community. As such, there remains low adoption of all but a few tools. This book aims to increase overall adoption of tools by providing cancer center leaders and researchers with a single volume detailing both issues that must be addressed and tools that are ready for use.

This volume details experimental protocols to study structure and function of hepatocytes in vivo and in vitro, and for characterizing heterogeneity and plasticity of hepatocytes in healthy and in injured liver. Chapters guide readers through separating hepatocyte subfractions, characterizing the heterogeneity, novel culture systems, hepatocyte-like cells from human pluripotent stem cells, analyzing drug metabolism, monitoring protein sorting, manipulating gene expression, and methods for expanding primary hepatoblastoma and identifying hepatocellular carcinoma subtypes. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Hepatocytes: Methods and Protocols aims to provide techniques to further understand molecular mechanisms involved in the regulating hepatocyte functions and underlying liver diseases.