Description
Metabolomics in Health and Disease Biology
Comprehensive Analytical Chemistry Series
Language: EnglishSubject for Metabolomics in Health and Disease Biology:
312 p. · 15x22.8 cm · Hardback
Description
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/li>Biography
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Damia Barcelo Culleres
Preface
Ratnasekhar CH
1. Analytical platforms in metabolomics of health and disease
Ratnasekhar CH
2. The chemometric models in metabolomics
Ratnasekhar CH
3. Metabolomics in sleep disorders
Pawan Kumar Jha
4. Metabolomics in predicting the hallmark of Cancer Metabolism
Shankar Suman
5. Metabolomics/lipidomics of osteoarthritis and inflammation
Rakesh Roshan Jha
6. Metabolomics Applications in Type 2 Diabetes mellitus
Ratnasekhar CH
7. Metabolomics of Diabetic Retinopathy
Kapil Dev
8. Metabolomics in Neurodegenerative Disorders- Parkinson’s Disease
Anubhuti Dixit
9. Metabolomic of Neurodegenerative Disorder: Alzheimer's Disease
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.
- 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