Read more
Informationen zum Autor Dr. Weimer's laboratory group focuses on microbial physiology and function. Research on host/microbe interactions has led to the elucidation of the competitive binding of beneficial bacteria to the gut epithelium and the resulting displacement of pathogenic bacteria such as salmonella. Using genomics and functional genomics — gene expression, metabolomics, proteomics, and metagenomics — Dr. Weimer's program examines the mechanisms of gene interplay to produce a specific phenotype and the metabolism involved in the process. The interplay between the host, the microbe, and the interdependent response is a key question for his program. The primary thrust of his program is the systems biology of biological processes important for bacterial growth, survival, and persistence. Recent work has focused on the specifics of bacterial adhesion in the gut. By using the Caco 2 cell model, Dr. Weimer has explored the binding of specific bacterial strains, the competitive binding of beneficial and pathogenic bacteria, the discovery of the molecular mechanisms of adhesion, and the cellular signaling that takes place when bacteria adhere to the intestinal wall. In addition, the group has investigated the adhesion and competitive binding of bacteria grown on human milk oligosaccharides compared with lactose. The findings of this research will pave the way toward understanding the underlying mechanisms of the benefits of “good bacteria? and how they modulate host immunity. Carolyn M. Slupsky is an Associate Professor and Nutritionist at the Foods For Health Institute, University of California, Davis, USA.
List of contents
Contributor contact details
Woodhead Publishing Series in Food Science, Technology and Nutrition
Introduction
Part I: Equipment, methods and data interpretation in metabolomics
Chapter 1: Equipment and metabolite identification (ID) strategies for mass-based metabolomic analysis
Abstract:
1.1 Introduction
1.2 Liquid chromatography
1.3 Gas chromatography
1.4 Mass spectrometry technologies
1.5 Analytical systems
1.6 Compound identification (ID) approaches
1.7 Databases for tracking and interconnections
1.8 Future trends
1.9 Sources of further information and advice
1.10 Acknowledgments
1.11 References
Chapter 2: Metabolomics using nuclear magnetic resonance (NMR)
Abstract:
2.1 Introduction
2.2 Experimental design and preparation
2.3 Experimental process and analysis
2.4 Current applications and future trends
2.5 References
2.6 Appendix: abbreviations
Chapter 3: Statistical methods in metabolomics
Abstract:
3.1 Introduction
3.2 Exploratory/visual approaches
3.3 Inferential approaches
3.4 Multiple hypothesis testing
3.5 Ensemble learning approaches
3.6 Conclusion
3.7 References
3.8 Appendix: software packages used
Chapter 4: Metabolic reconstruction databases and their application to metabolomics research
Abstract:
4.1 Introduction
4.2 Overview of Pathway/Genome Database (PGDB) construction
4.3 Querying PGDBs
4.4 Metabolomics applications
4.5 Sources of further information and advice
4.6 Conclusion
4.7 Acknowledgments
4.8 References
Part II: Applications of metabolomics in humans, plants and food
Chapter 5: Human samples for health assessments
Abstract:
5.1 Introduction
5.2 Sample collections and biobanks
5.3 Variation in metabolite profiles of human biofluids and tissues
5.4 Standards for metabolomic studies
5.5 Conclusions and future trends
5.6 References
Chapter 6: Metabolomics in nutrition
Abstract:
6.1 Introduction
6.2 Epidemiological studies and biomarkers of food intake
6.3 Diet and metabolic syndrome
6.4 The role of intestinal microbiota in nutrition
6.5 Perspectives in nutrition research
6.6 Future trends
6.7 References
Chapter 7: Current methods for the analysis of human milk oligosaccharides (HMOs) and their novel applications
Abstract:
7.1 Introduction
7.2 Analysis of human milk oligosaccharides (HMOs)
7.3 Applications of HMO analysis
7.4 Conclusion
7.5 References
Chapter 8: Metabolomic analysis of plants and crops
Abstract:
8.1 Introduction
8.2 Metabolomic studies on selected Poaceae species
8.3 Metabolomic studies on selected Solanaceae species
8.4 Metabolomic studies on selected Fabaceae species
8.5 Metabolomic studies on selected Brassicaceae and Lamiaceae species
8.6 Plant/crop metabolome databases
8.7 Future trends
8.8 References
Chapter 9: Metabolomics for the safety assessment of genetically modified (GM) crops
Abstract:
9.1 Introduction
9.2 Solanaceous crops
9.3 Cereal crops
9.4 Other crops
9.5 Metabolomics as part of a regulatory risk assessment procedure for the development and evaluation of genetically modified (GM) crops
9.6 Metabolomics and GM food safety: future trends
9.7 Acknowledgements
9.8 References
Chapter 10: Applications of metabolomics in food science: food composition and quality, sensory and nutritional attributes
Abstract:
10.1 Introduction
10.2 Metabolomics for compound identification: authentication and pathogen detection
10.3 Metabolomics f
