Metabolism of Bacterial Infection
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Product details:
- Edition number 2024
- Publisher Springer Nature Switzerland
- Date of Publication 12 January 2026
- Number of Volumes 1 pieces, Book
- ISBN 9783031468940
- Binding Hardback
- No. of pages223 pages
- Size 235x155 mm
- Language English
- Illustrations XII, 223 p. 1 illus. Illustrations, black & white 700
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Long description:
"
This book provides a comprehensive examination of how microbial metabolism influences infection, virulence, immune evasion, and antibiotic resistance. Edited by Dr. Vijay Soni and Dr. Aditya Upadhyay, this volume curates and distills cutting-edge research from multi-omics studies, computational modeling, and systems biology to provide readers with a clear and structured understanding of the metabolic dimensions of bacterial pathogenesis. Covering topics from nutrient acquisition, metabolic signaling, and immunometabolism to antimicrobial resistance and novel therapeutic strategies, the book bridges basic microbiology and clinical relevance. Designed for microbiologists, clinicians, students, and interdisciplinary researchers, it serves as both a reference and a practical guide for those seeking to connect metabolism with infection biology. By integrating experimental insights with computational frameworks, this work equips readers with knowledge to identify new biomarkers, therapeutic targets, and intervention strategies, ultimately offering fresh perspectives for tackling infectious diseases in the era of rising antimicrobial resistance.
" MoreTable of Contents:
Introduction to bacterial metabolism and different infections.- Role of various metabolic pathways in bacterial survival and virulence.- Methods for studying bacterial metabolism.- Metabolic regulation and signaling in bacteria.- Bacterial nutrient acquisition and its function in diseases.- Metabolic reprogramming of bacterial and host pathways and their role in infections.- Impact of antimicrobial resistance on virulence and disease spread.- Immunometabolic responses upon bacterial infections.- Metabolic modeling (computational and mathematical) of bacterial infections.- Metabolic engineering and novel therapeutics.
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