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Metabolic Phenotyping and Systems Biology Approaches to Understanding Metabolic Syndrome and Fatty Liver Disease

期刊

GASTROENTEROLOGY
卷 146, 期 1, 页码 46-62

出版社

W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1053/j.gastro.2013.11.001

关键词

Metabonomics; Metabolic Syndrome; Nonalcoholic Fatty Liver Disease; Nonalcoholic Steatohepatitis

资金

  1. EC-FP7 [METACARDIS HEALTH-F4-2012-305312, EURATRANS HEALTH-F4-2010-241504, FLORINASH FP7-Health-241913]
  2. Institut Merieux
  3. Nestle [RDLS015375]
  4. Royal Society [IE120728]
  5. Biomedical Research Centre
  6. National Institute for Health Research
  7. National Institutes of Health
  8. Gates Foundation
  9. EC-FP7 (METACARDIS)
  10. EC-FP7 (EURATRANS)
  11. Medical Research Council
  12. Academy of Medical Sciences (AMS) [AMS-SGCL8-Kinross] Funding Source: researchfish

向作者/读者索取更多资源

Metabolic syndrome, a cluster of risk factors for type 2 diabetes mellitus and cardiovascular disease, is becoming an increasing global health concern. Insulin resistance is often associated with metabolic syndrome and also typical hepatic manifestations such as nonalcoholic fatty liver disease. Profiling of metabolic products (metabolic phenotyping or metabotyping) has provided new insights into metabolic syndrome and nonalcoholic fatty liver disease. Data from nuclear magnetic resonance spectroscopy and mass spectrometry combined with statistical modeling and top-down systems biology have allowed us to analyze and interpret metabolic signatures in terms of metabolic pathways and protein interaction networks and to identify the genomic and metagenomic determinants of metabolism. For example, metabolic phenotyping has shown that relationships between host cells and the microbiome affect development of the metabolic syndrome and fatty liver disease. We review recent developments in metabolic phenotyping and systems biology technologies and how these methodologies have provided insights into the mechanisms of metabolic syndrome and nonalcoholic fatty liver disease. We discuss emerging areas of research in this field and outline our vision for how metabolic phenotyping could be used to study metabolic syndrome and fatty liver disease.

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