Metabolomics as a Tool in Nutrition Research

- List of contributors - Woodhead Publishing Series in Food Science, Technology and Nutrition - Preface - Part One: Principles - 1. Challenges in nutritional metabolomics: from experimental design to interpretation of data sets - Abstract - 1.1 Introduction - 1.2 The experimental design - 1.3 The analytical platform - 1.4 Extraction of data sets and statistical analyses - 1.5 Metabolite identification - 1.6 Biological interpretations - 1.7 Conclusion: do we need standardisation procedures and repositories? - 2. Metabolic profiling as a tool in nutritional research: key methodological issues - Abstract - 2.1 Introduction - 2.2 Key issues in nutritional research - 2.3 The role of genomics, proteomics, metabolomics, and metagenomics in nutritional research - 2.4 Applications of metabolomics in nutrition-related research - 2.5 The use of metabolomics to assess the effects of diet on health - 2.6 Methods for mapping dietary patterns - 2.7 Observational and interventional studies into the effects of diet and nutrition on health - 2.8 Analytical methods - 2.9 Issues in analysing samples - 3. Chemometrics methods for the analysis of genomics, transcriptomics, proteomics, metabolomics, and metagenomics datasets - Abstract - 3.1 Introduction - 3.2 Unsupervised and supervised pattern recognition methods - 3.3 Multivariate calibration methods for developing predictive models - 3.4 Statistical data integration methods - 3.5 Data integration: multiblock strategies - 3.6 Data integration: calibration transfer methods - 3.7 Data integration: multiway/multimodal analysis methods - 3.8 Data integration: correlation-based approaches - 3.9 Data integration: techniques for analysing different types of genomics datasets - 3.10 Statistical data integration of different sample types - 3.11 Statistical data integration of different molecular components in samples - 3.12 Modelling relationships between molecular components - 3.13 Conclusion and future trends - Part Two: Applications in nutrition research - 4. Application of lipidomics in nutrition research - Abstract - Acknowledgement - 4.1 Introduction - 4.2 Lipids - 4.3 Lipidomics - 4.4 Lipidomics in nutrition research - 4.5 Conclusion and future trends - 5. Analysing human metabolic networks using metabolomics: understanding the impact of diet on health - Abstract - Acknowledgements - 5.1 Introduction - 5.2 Metabolic network reconstruction - 5.3 Human metabolic networks - 5.4 Linking metabolomics data and metabolic network elements - 5.5 Metabolism modelling, from pathways to network - 5.6 Subnetwork extraction between identified metabolites - 5.7 Conclusion and future directions - 6. Using metabolomics to analyse the role of gut microbiota in nutrition and disease - Abstract - 6.1 Introduction: gut microbiota and human health - 6.2 Metagenomics of gut microbiota - 6.3 Metabolomics: uncovering complex host-microbe interactions - 6.4 The marriage of metagenomics and metabolomics: microbiome-metabolome interactions - 6.5 Future perspectives: personalised nutrition - 7. Metabotyping: moving towards personalised nutrition - Abstract - 7.1 Introduction - 7.2 The concept of the metabotype - 7.3 Examples of metabotyping with a focus on nutrition - 7.4 Extension of metabotypes to include markers of dietary origin - 7.5 Conclusion and future trends - 7.6 Sources of further information and advice - 8. Using metabolomics to identify biomarkers for metabolic diseases: analytical methods and applications - Abstract - 8.1 Introduction - 8.2 Using metabolomics to understand the relationship between nutrition and chronic metabolic diseases - 8.3 Cohort studies and biomarker identification - 8.4 Isolating in situ biomarkers - 8.5 Conclusions and future trends - 9. Using metabolomics to evaluate food intake: applications in nutritional epidemiology - Abstract - 9.1 Introduction - 9.