Reviews on Biomarker Studies in Aging and Anti-Aging Research, Paul C. Guest
Автор: Bertrand Jordan Название: Microarrays in Diagnostics and Biomarker Development ISBN: 3642439764 ISBN-13(EAN): 9783642439766 Издательство: Springer Рейтинг: Цена: 22201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive overview of microarrays in diagnostics and biomarker development, covering DNA, peptide, protein and tissue arrays. It emphasizes entities in actual clinical use as well as recent developments, such as aptamer arrays.
Автор: Guest Paul C. Название: Reviews on Biomarker Studies in Aging and Anti-Aging Research ISBN: 3030256529 ISBN-13(EAN): 9783030256524 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using both epidemiological and model organism approaches, we have gained new insights into the physiological and molecular aspects of aging, which has led to significant advancements in potential anti-aging strategies. Reviews on Biomarker Studies in Aging and Anti-Aging Research presents a series of reviews in various aspects of aging and age-related disease research along with several methods which have shown progress as potential anti-aging approaches. The book is aimed at researchers in the areas of aging and chronic disease, as well as to clinical scientists, physicians and major drug companies. It provides important information on disease mechanisms, and each chapter is presented in the context of the aging process, specific chronic diseases or different therapeutic areas.
Описание: The book recognizes that throughout the scientific, medical, and economic communities, new tests incorporating biomarkers are needed to improve the diagnosis of patients suffering from metabolic disorders.
Описание: 1. The Potential of 'Omics to Link Lipid Metabolism and Genetic and Comorbidity Risk Factors of Alzheimer's Disease in African Americans.- 2. The Role of Biomarkers in Alzheimer's Disease Drug Development.- 3. Mitochondrial Involvement in Mental Disorders; Energy Metabolism, Genetic and Environmental Factors.- 4. Lymphocytes, Platelets, Erythrocytes and Exosomes as Possible Biomarkers for Alzheimer's Disease Clinical Diagnosis.- 5. Genetic Risk Factors for Alzheimer Disease: Emerging Roles of Microglia in Disease Pathomechanisms.- 6. Neuroimaging Studies of Cognitive Function in Schizophrenia.- 7. The Role of Biomarkers in Psychiatry.- 8. Interactome Studies of Psychiatric Disorders.- 9. MicroRNAs in Major Depressive Disorder.- 10. Proteomic Markers for Depression.- 11. Advances in Biomarker Studies in Autism Spectrum Disorders.- 12. Proteomic Investigations of Autism Spectrum Disorder: Past Findings, Current Challenges and Future Prospects.- 13. Role of the Gut Microbiome in Autism Spectrum Disorders.- 14. Metabolomic Biomarkers in Mental Disorders: Bipolar Disorder and Schizophrenia.- 15. Early Detection and Treatment of Patients with Alzheimer's Disease: Future Perspectives.
Описание: The book recognizes that throughout the scientific, medical, and economic communities, new tests incorporating biomarkers are needed to improve the diagnosis of patients suffering from metabolic disorders.
Автор: Liang Fang; Cheng Su Название: Statistical Methods in Biomarker and Early Clinical Development ISBN: 3030315029 ISBN-13(EAN): 9783030315023 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This contributed volume offers a much-needed overview of the statistical methods in early clinical drug and biomarker development. Chapters are written by expert statisticians with extensive experience in the pharmaceutical industry and regulatory agencies. Because of this, the data presented is often accompanied by real world case studies, which will help make examples more tangible for readers. The many applications of statistics in drug development are covered in detail, making this volume a must-have reference.
Biomarker development and early clinical development are the two critical areas on which the book focuses. By having the two sections of the book dedicated to each of these topics, readers will have a more complete understanding of how applying statistical methods to early drug development can help identify the right drug for the right patient at the right dose. Also presented are exciting applications of machine learning and statistical modeling, along with innovative methods and state-of-the-art advances, making this a timely and practical resource.
This volume is ideal for statisticians, researchers, and professionals interested in pharmaceutical research and development. Readers should be familiar with the fundamentals of statistics and clinical trials.
Автор: Ming Zhou; Timothy Veenstra Название: Proteomics for Biomarker Discovery ISBN: 1493959999 ISBN-13(EAN): 9781493959990 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Methods in Molecular Biology (TM) book details methods used to study proteomics, offering lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
Proteomic and Metabolomic Approaches to Biomarker Discovery, Second Edition covers techniques from both proteomics and metabolomics and includes all steps involved in biomarker discovery, from study design to study execution. The book describes methods and presents a standard operating procedure for sample selection, preparation and storage, as well as data analysis and modeling. This new standard effectively eliminates the differing methodologies used in studies and creates a unified approach. Readers will learn the advantages and disadvantages of the various techniques discussed, as well as potential difficulties inherent to all steps in the biomarker discovery process.
This second edition has been fully updated and revised to address recent advances in MS and NMR instrumentation, high-field NMR, proteomics and metabolomics for biomarker validation, clinical assays of biomarkers and clinical MS and NMR, identifying microRNAs and autoantibodies as biomarkers, MRM-MS assay development, top-down MS, glycosylation-based serum biomarkers, cell surface proteins in biomarker discovery, lipodomics for cancer biomarker discovery, and strategies to design studies to identify predictive biomarkers in cancer research.
Автор: Virginie Brun; Yohann Cout? Название: Proteomics for Biomarker Discovery ISBN: 1493991639 ISBN-13(EAN): 9781493991631 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents modern and enhanced methods that detail techniques to perform proteomics analyses dedicated to biomarker discovery for human health. Chapters guide readers through pre/post analytical factors, protocols for the preparation of extracellular vesicles and exosomes, and various analytical pipelines including Data Independent Acquisition (DIA), discovery, as well as targeted and top-down proteomics analysis workflows. Bioinformatics tools and workflows to select and evaluate candidate biomarkers or combinations of biomarkers are also presented. 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, Proteomics for Biomarker Discovery: Methods and Protocols aims to ensure successful results in the further study of this vital field.
Автор: Feng Wang Название: Biomarker Methods in Drug Discovery and Development ISBN: 1617379255 ISBN-13(EAN): 9781617379253 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, expert researchers provide a tool box for those who have a general interest in biomarker research and for those currently specializing in certain technologies but desiring an understanding of other available methodologies.
Описание: This book demonstrates the potential of urine as a biomarker resource for early disease detection, covering the related theory, strategies, tools and findings. The book discusses exciting preliminary applications of urine biomarkers for diseases affecting major biological systems.
Автор: Yongxia Zhou Название: Imaging and Multiomic Biomarker Applications ISBN: 1536190799 ISBN-13(EAN): 9781536190793 Издательство: Nova Science Рейтинг: Цена: 22491.00 р. Наличие на складе: Невозможна поставка.
Описание: The well-known Alzheimers Disease Neuroimaging Initiative (ADNI) Center provides the most advanced, comprehensive, multiparametric and up-to-date biomarkers for mild cognitive impairment (MCI) and early Alzheimers disease (AD) projects, including neuroimaging, clinical assessments, biospecimens and genetic data. Recent developments in imaging techniques, including new molecular tracers for imaging disease burden and systematic multi-modal integration, have emerged to overcome the limitations of each single modality and individual-dependent variability. The MRI-based high-resolution structural and morphological changes in the brain, such as atrophy, and the abnormal activity/connectivity patterns of the hippocampus subfields and default mode network (DMN) modulation, together with the amyloid and tau neuropathological quantification using PET molecular tracers, could be used to predict brain changes and cognitive performance declines in early AD, including transitional MCI. Finally, a generalized and integrative model with multiple biomarkers could be built to target disease progression and symptom prediction as well as to optimize patient management. Multiomics investigates metabolomic, lipidomic, genomic, transcriptomic and proteomic perspectives by presenting an accurate biochemical proi¬le of the organism in health and disease. The Alzheimers Disease Metabolomics Consortium (ADMC) in partnership with ADNI is creating a comprehensive biochemical database for patients in the ADNI1 cohort, consisting of eight metabolomics datasets. The vast majorities of biospecimen data provide rich biological information to the human brain at normal and dementia status. One of the purposes is to reveal the connections between disease and multiomics such as obesity, hypertension, cholesterol imbalance and inflammation risks that might lead to neurodegenerative disease. Multiomic biomarker developments in the dementia field have provided earlier clues to novel treatments that help correct metabolic dysfunction and delay disease progression. Furthermore, the assembling of multiomics-based biomarkers including metabolites and lipids, cholesterol biosynthesis, purine metabolism, lipoprotein, bile acids, and genetics as well as their relation to the pathological amyloid and tau network could improve disease diagnosis sensitivity and reveal more diverse and complementary molecular pathways to allow for the advancement of early AD diagnosis and therapeutic prevention. In this book, we report on the significant differences of multiple biomarkers from the ADNI database including neuroimaging, clinical assessments and multiomic biospecimen/genetic data in MCI and early probable AD (pAD), and elucidate the interconnections among different metrics at various domains. Classification results with high accuracies (0.95-1) for each early dementia subtype including early MCI (EMCI), late MCI (LMCI) and pAD, and better prediction of clinical symptoms is achieved with these comprehensive biomarkers. Further longitudinal changes of imaging and neuropsychological biomarkers, and inter-correlations with baseline parameters are examined for a better illustration of disease progression association. Additionally, an analysis of the post-traumatic stress disorder biomarkers is performed with high classification accuracy. With illustrative and rigorous data analyses and confirmative results, this book provides readers with a full spectrum of biomarker research for early dementia diagnosis and treatment, and helps convey the technical development and data evaluation perspectives in advanced medical imaging and various disease application fields.
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