Metabolomic profiling offers the potential to reveal metabolic pathways relevant to the development of diabetes and improve diabetes risk prediction. We examined serum metabolite profiles and their relationships with incident diabetes in Hispanic Community Health Study/Study of Latinos (HCHS/SOL). This analysis included 2010 participants (224 incident diabetes cases, 1786 control) without prevalent diabetes at baseline, aged 18-76 years with 60% female, from six Hispanic/Latino background groups in the HCHS/SOL. We profiled 624 metabolites from 8 metabolomic super-pathways. Survey Poisson regression was used to examine the associations of baseline metabolites with incident diabetes. After correcting for multiple testing (false-positive discovery rate), 134 metabolites were significantly associated with incident diabetes. For the 134 significant metabolites, network analysis identified multiple topological modules comprised of amino acids and lipids, such as BCAA metabolites, glycine, serine and threonine metabolites, sphingolipids and ceramides, monoacylglycerol and, diacylglycerol, associated with diabetes risk (Table). This study identified multiple metabolite modules related to diabetes risk in a large cohort of U.S. Hispanics/Latinos and provide new insights to metabolic pathways in the development of diabetes.
Disclosure

J. Chai: None. J. Li: None. B. Yu: None. C. Isasi: None. T. Khambaty: None. L. Van Horn: None. D.C. Vidot: None. S. Castaneda: None. E. Boerwinkle: None. Q. Qi: None.

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