Article ; Online: Lessons on dietary biomarkers from twin studies.
The Proceedings of the Nutrition Society
2017 Volume 76, Issue 3, Page(s) 303–307
Abstract: Metabolomic and microbiome profiling are promising tools to identify biomarkers of food intake and health status. The individual's genetic makeup plays a significant role on health, metabolism, gut microbes and diet and twin studies provide unique ... ...
Abstract | Metabolomic and microbiome profiling are promising tools to identify biomarkers of food intake and health status. The individual's genetic makeup plays a significant role on health, metabolism, gut microbes and diet and twin studies provide unique opportunities to untangle gene-environment effects on complex phenotypes. This brief review discusses the value of twin studies in nutrition research with a particular focus on metabolomics and the gut microbiome. Although, the twin model is a powerful tool to segregate the genetic component, to date, very few studies combine the twin design and metabolomics/microbiome in nutritional sciences. Moreover, since the individual's diet has a strong influence on the microbiome composition and the gut microbiome is modifiable (60 % of microbiome diversity is due to the environment), future studies should target the microbiome via dietary interventions. |
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MeSH term(s) | Biomarkers/metabolism ; Biomedical Research/methods ; Biomedical Research/trends ; Congresses as Topic ; Diet/adverse effects ; Dietetics/methods ; Dietetics/trends ; Gastrointestinal Microbiome ; Humans ; Metabolomics/methods ; Metabolomics/trends ; Nutrigenomics/methods ; Nutrigenomics/trends ; Nutrition Assessment ; Nutritional Sciences/methods ; Nutritional Sciences/trends ; Societies, Scientific ; Twin Studies as Topic |
Chemical Substances | Biomarkers |
Language | English |
Publishing date | 2017-01-30 |
Publishing country | England |
Document type | Journal Article ; Review ; Research Support, Non-U.S. Gov't |
ZDB-ID | 391142-1 |
ISSN | 1475-2719 ; 0029-6651 |
ISSN (online) | 1475-2719 |
ISSN | 0029-6651 |
DOI | 10.1017/S0029665116002810 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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