Metabolomics for Biomedical Research brings together recent progress on study design, analytics, biostatistics and bioinformatics for the success of metabolomics research. Metabolomics represents a very interdisciplinary research prominent in the functional analyses of living systems; hence, this book focuses on translation and medical aspects. The book discusses topics such as biomarkers and their requirements to be used in medical research, with the parameters and approaches on how to validate their quality; and animal models and other approaches, as stem cells and organoid culture. Additionally, it explains how metabolomics may be applied in prediction of individual response to drug or disease progression. This book is a valuable source for researchers on systems biology and other members of biomedical field interested in metabolism-oriented studies for medical research.

This book provides a comprehensive view of metabolomics, from the basic concepts, through sample preparation and analytical methodologies, to data interpretation and applications in medicine. It is the first volume to cover metabolomics clinical applications while also emphasizing analytical and statistical features. Moreover, future trends and perspectives in clinical metabolomics are also presented. For researches already experienced in metabolomics, the book will be useful as an updated definitive reference. For beginners in the field and graduate students, the book will provide detailed information about concepts and experimental aspects in metabolomics, as well as examples and perspectives of applications of this strategy to clinical questions.

Giving a fresh, substantial and in-depth overview of the topic, this book brings together the latest results in the field of metabolomics. It comprehensively presents the current state of the metabolomics field by underscoring experimental methods, analysis techniques, standardization practices, and advances in specific model systems. As a result, it helps to significantly broaden our perspective on the principles and strategies underpinning this emerging field.

Metabolomics for Biomedical Research brings together recent progress on study design, analytics, biostatistics and bioinformatics for the success of metabolomics research. Metabolomics represents a very interdisciplinary research prominent in the functional analyses of living systems; hence, this book focuses on translation and medical aspects. The book discusses topics such as biomarkers and their requirements to be used in medical research, with the parameters and approaches on how to validate their quality; and animal models and other approaches, as stem cells and organoid culture. Additionally, it explains how metabolomics may be applied in prediction of individual response to drug or disease progression. This book is a valuable source for researchers on systems biology and other members of biomedical field interested in metabolism-oriented studies for medical research. - Focuses on metabolomics in translational and medical research - Provides basics for, and concepts of, contemporary translational personalized medicine research with metabolomics - Brings the major recent progresses on design, analytics, biostatistics and bioinformatics relating to the success of metabolomics research

Highlights the importance and benefit of mass spectrometry-based metabolomics for identifying biomarkers that accurately screen for potential biomarkers of diseases Mass spectrometry-based metabolomics offer new opportunities for biomarker discovery in complex diseases and may provide pathological understanding of diseases beyond traditional technologies. It is the systematic analysis of low-molecular-weight metabolites in biological samples and has been applied to discovering and identifying the perturbed pathways. Currently, mass spectrometry-based metabolomics has become an important tool in clinical research and the diagnosis of human disease. Mass Spectrometry-Based Metabolomics in Clinical and Herbal Medicines comprehensively presents the current state, challenges, and applications of high-throughput mass spectrometry-based metabolomics such as metabolites analysis, biomarker discovery, technical challenges, discovery of natural product, mechanism interpretation of action, discovery of active ingredients, clinical application and precision medicine, and enhancing their biomedical value in a real world of biomedicine, shedding light on the potential for spectrometry-based metabolomics. It highlights the value of mass spectrometry-based metabolomics and metabolism to address the complexity of herbal medicines in systems pharmacology, especially, to link phytochemical analysis with the assessment of pharmacological effect and therapeutic potential. Each chapter has been laid out with introduction, method, up-to-date literature, identification of biomarker, and applications Covers the current state, challenges, and applications of high-throughput mass spectrometry-based metabolomics in the discovery of biomarker, active ingredients, natural product, etc. Constitutes a unique and indispensable practical guide for any phytochemistry or related laboratory, and provides hands-on description of new techniques Provides a guide for new practitioners of pharmacologists, pharmacological scholars, drug developers, botanist, researchers of traditional medicines. Mass Spectrometry-Based Metabolomics in Clinical and Herbal Medicines provides a landmark of mass spectrometry-based metabolomics research and a beneficial guideline to graduate students and researchers in academia, industry, and technology transfer organizations in all biomedical science fields.

Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

This volume explores the use of mass spectrometry for biomedical applications. Chapters focus on specific therapeutic areas such as oncology, infectious disease and psychiatry. Additional chapters focus on methodology as well as new technologies and instrumentation. This volume provides readers with a comprehensive and informative manual that will allow them to appreciate mass spectrometry and proteomic research but also to initiate and improve their own work. Thus the book acts as a technical guide but also a conceptual guide to the newest information in this exciting field. Mass spectrometry is the central tool used in proteomic research today and is rapidly becoming indispensable to the biomedical scientist. With the completion of the human genome project and the genomic revolution, the proteomic revolution has followed closely behind. Understanding the human proteome has become critical to basic and clinical biomedical research and holds the promise of providing comprehensive understanding of human physiological processes. In addition, proteomics and mass spectrometry are bringing unprecedented biomarker discovery and are helping to personalize medicine.

Metabolomics and proteomics allow deep insights into the chemistry and physiology of biological systems. This book expounds open-source programs, platforms and programming tools for analysing metabolomics and proteomics mass spectrometry data. In contrast to commercial software, open-source software is created by the academic community, which facilitates the direct interaction between users and developers and accelerates the implementation of new concepts and ideas. The first section of the book covers the basics of mass spectrometry, experimental strategies, data operations, the open-source philosophy, metabolomics, proteomics and statistics/ data mining. In the second section, active programmers and users describe available software packages. Included tutorials, datasets and code examples can be used for training and for building custom workflows. Finally, every reader is invited to participate in the open science movement.

This book explains omics at the most basic level, including how this new concept can be properly utilized in molecular and systems biology research. Most reviews and books on this topic have mainly focused on the technicalities and complexity of each omics’ platform, impeding readers to wholly understand its fundamentals and applications. This book tackles such gap and will be most beneficial to novice in this area, university students and even researchers. Basic workflow and practical guidance in each omics are also described, such that scientists can properly design their experimentation effectively. Furthermore, how each omics platform has been conducted in our institute (INBIOSIS) is also detailed, a comprehensive example on this topic to further enhance readers’ understanding. The contributors of each chapter have utilized the platforms in various manner within their own research and beyond. The contributors have also been interactively integrated and combined these different omics approaches in their research, being able to systematically write each chapter with the conscious knowledge of other inter-relating topics of omics. The potential readers and audience of this book can come from undergraduate and postgraduate students who wish to extend their comprehension in the topics of molecular biology and big data analysis using omics platforms. Furthermore, researchers and scientists whom may have expertise in basic molecular biology can extend their experimentation using the omics technologies and workflow outlined in this book, benefiting their research in the long run.