Metabolomics in epidemiology: from metabolite concentrations to integrative reaction networks.
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.
Centre for Systems Genomics.|School of BioSciences.|Department of Pathology, University of Melbourne, Parkville, VIC, Australia.
Liam G
LG
Fearnley
Centre for Systems Genomics minouye@unimelb.edu.au.|School of BioSciences.|Department of Pathology, University of Melbourne, Parkville, VIC, Australia.
Michael
M
Inouye
D015415:Biomarkers; D035843:Biomedical Research / Q000379:methods; D016021:Epidemiologic Studies; D006801:Humans; D055432:Metabolomics; D049490:Systems Biology
D015415:Biomarkers
epidemiology; genomics; metabolomics; systems biology; transcriptomics