Metabolomics in Health and Disease Biology
- 1st Edition, Volume 104 - February 23, 2024
- Imprint: Elsevier
- Editor: Ratnasekhar Ch
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 7 2 5 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 7 2 6 - 6
Metabolomics in Health and Disease Biology, Volume 104 covers this rapidly emerging field that aims for metabolic phenotyping and understanding the blueprint of metabolic pathwa… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteMetabolomics in Health and Disease Biology, Volume 104 covers this rapidly emerging field that aims for metabolic phenotyping and understanding the blueprint of metabolic pathways under various health and disease conditions by comprehensive analysis of metabolites. Chapters in this new release include Metabolomics approaches: Biomarkers to Disease mechanisms, Metabolomics in sleep disorders, Metabolomics in predicting the hallmark of Cancer Metabolism, Spectroscopic based rapid metabolic fingerprinting approaches for Cancer diagnosis, Lipidomics in assessing the health of osteoarthritis, Metabolomics Applications in Type 2 Diabetes mellitus, Metabolomics of Diabetic retinopathy, Metabolomics in Neurodegenerative disorders- Parkinson's disease, and Metabolomic of Neurodegenerative disorder: Alzheimer's Disease.
- Presents crucial reviews from selected experts in the field of metabolomics, with cross-disciplinary contributions
- Provides the latest insights into our understanding of diseases using metabolomics-based approaches
- Includes graphical material for metabolomics application that provide useful information for ease of reading of audience
Scientists, researchers and academic professors in the field of metabolomics, analytical chemistry and biological mass spectrometry
- Cover image
- Title page
- Table of Contents
- Series Page
- Copyright
- Contributors to Volume 104
- About the editor
- Preface
- Series editor’s preface
- Chapter One: Analytical platforms in metabolomics of health and disease
- Abstract
- Abbreviations
- 1 Introduction
- 2 Nuclear magnetic resonance (NMR) based metabolomics analysis
- 3 Liquid chromatography–mass spectrometry (LC–MS) based metabolomics analysis
- 4 Gas chromatography–mass spectrometry (GC–MS) based metabolomics analysis
- 5 Direct analysis in real time-mass spectrometry (DART-MS)
- 6 Fourier transform infrared (FT-IR) based metabolomics analysis
- 7 Conclusions
- Acknowledgments
- References
- Chapter Two: The chemometric models in metabolomics
- Abstract
- Abbreviations
- 1 Introduction
- 2 Raw metabolomics data preprocessing
- 3 Baseline correction and noise filtering
- 4 Chemometrics models in metabolomics
- 5 Comparative chemometrics
- 6 Conclusion
- Acknowledgments
- References
- Chapter Three: Metabolomics in sleep disorders
- Abstract
- 1 Introduction
- 2 Sleep deficiency
- 3 Obstructive sleep apnea
- 4 Insomnia
- 5 Narcolepsy
- 6 Conclusions
- Conflicts of interest
- References
- Chapter Four: Metabolomics in predicting the hallmark of cancer metabolism
- Abstract
- 1 Introduction
- 2 Biochemical pathways in cancer progression
- 3 Metabolomics approach for biomarkers detection in cancer
- 4 Application of metabolomics in cancer research
- 5 Summary and concluding remarks
- References
- Chapter Five: Metabolomics/lipidomics of osteoarthritis and inflammation
- Abstract
- 1 Introduction
- 2 General protocol of metabolomics
- 3 Targeted lipidomics for osteoarthritis
- 4 Conclusion
- References
- Chapter Six: Metabolomics applications in type 2 diabetes mellitus
- Abstract
- 1 Introduction
- 2 Experimental and analytical platforms for the type 2 diabetes mellitus metabolome
- 3 Metabolomics in type 2 diabetes mellitus
- 4 Metabolomics in diabetic complications
- 5 Conclusions and future perspectives
- Acknowledgements
- References
- Chapter Seven: Metabolomics of diabetic retinopathy
- Graphical abstract
- Abstract
- Abbreviations
- 1 Introduction
- 2 Analytical techniques for metabolomics
- 3 Biomarkers in diabetic retinopathy
- 4 Potential biomarkers of metabolomic for diabetic retinopathy in different types of samples
- 5 Metabolomics in diabetic retinopathy
- 6 Metabolic pathways associated with diabetic retinopathy
- 7 Analysis and elucidation of common differential metabolites in diabetic retinopathy
- 8 Predictions of metabolism-based molecular targets in diabetic retinopathy
- 9 Metabolomics in the treatment of diabetic retinopathy
- 10 Phytochemicals in the treatment of diabetic retinopathy
- 11 Conclusion and future perspectives
- Acknowledgments
- References
- Chapter Eight: Metabolomics in neurodegenerative disorders—Parkinson’s disease
- Abstract
- 1 Introduction
- 2 PD: Etiology, features and pathomechanism
- 3 Major analytical tools in metabolomics research
- 4 Metabolomics studies in PD patients
- 5 Metabolomics in PD model systems
- 6 Conclusion
- References
- Chapter Nine: Metabolomic of neurodegenerative disorder: Alzheimer’s disease
- Abstract
- Abbreviations
- 1 Introduction
- 2 Example of risk factors of Alzheimer’s disease
- 3 Systems biology approaches use Alzheimer’s disease
- 4 Metabolomic profiling of Alzheimer’s disease using a multi-platform strategy
- 5 Animal models use for the study of Alzheimer’s disease
- 6 Designing the metabolomic experiment
- 7 Metabolomic study of AD in patients’ sample
- 8 Biostatistics and data analysis
- 9 Diagnostic and therapy for AD
- 10 Study conclusion
- 11 Future perspective and limitations
- Acknowledgments
- References
- Index
- Edition: 1
- Volume: 104
- Published: February 23, 2024
- No. of pages (Hardback): 312
- No. of pages (eBook): 312
- Imprint: Elsevier
- Language: English
- Hardback ISBN: 9780443137259
- eBook ISBN: 9780443137266
RC
Ratnasekhar Ch
Dr. Ratnasekhar CH is an Assistant Professor & Scientist at CSIR- CIMAP, India and currently leading a metabolomics group. He completed his postdoctoral training from University of Cambridge, University College London & Queen’s University Belfast at United Kingdom, after receiving his Ph.D. in Metabolomics from CSIR, INDIA. Dr. Ratnasekhar’s research interests are in using mass spectrometry-based metabolomics approaches for investigating metabolic pathways of cellular metabolism in health and various diseases. His laboratory is developing metabolic fingerprinting tools using high resolution accurate mass spectrometry (HRAMS) and NIR based rapid fingerprinting approaches. He has been actively involved in Bioanalytical chemistry and has experience in experimental methodologies for high-throughput analysis of biological systems. Ratnasekhar has authored high impact research articles and has been recognized through membership on the Editorial Boards of journals in the field.
Affiliations and expertise
Assistant Professor & Scientist, Metabolomics Lab, CSIR-CIMAP, Lucknow-226015, India & Visiting Fellow, School of Biological Sciences, Queen’s University Belfast, BT9 5DL United KingdomRead Metabolomics in Health and Disease Biology on ScienceDirect