Metabolomics in epidemiology: from metabolite concentrations to integrative reaction networks

نویسندگان

  • Liam G Fearnley
  • Michael Inouye
چکیده

Metabolomics is becoming feasible for population-scale studies of human disease. In this review, we survey epidemiological studies that leverage metabolomics and multi-omics to gain insight into disease mechanisms. We outline key practical, technological and analytical limitations while also highlighting recent successes in integrating these data. The use of multi-omics to infer reaction rates is discussed as a potential future direction for metabolomics research, as a means of identifying biomarkers as well as inferring causality. Furthermore, we highlight established analysis approaches as well as simulation-based methods currently used in single- and multi-cell levels in systems biology.

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عنوان ژورنال:

دوره 45  شماره 

صفحات  -

تاریخ انتشار 2016