Metabolite Profiles of Incident Diabetes and Heterogeneity of Treatment Effect in the Diabetes Prevention Program

dc.contributor.authorChen, Zsu-Zsu
dc.contributor.authorLiu, Jinxi
dc.contributor.authorMorningstar, Jordan
dc.contributor.authorHeckman-Stoddard, Brandy M.
dc.contributor.authorLee, Christine G.
dc.contributor.authorDagogo-Jack, Samuel
dc.contributor.authorFerguson, Jane F.
dc.contributor.authorHamman, Richard F.
dc.contributor.authorKnowler, William C.
dc.contributor.authorMather, Kieren J.
dc.contributor.authorPerreault, Leigh
dc.contributor.authorFlorez, Jose C.
dc.contributor.authorWang, Thomas J.
dc.contributor.authorClish, Clary
dc.contributor.authorTemprosa, Marinella
dc.contributor.authorGerszten, Robert E.
dc.contributor.departmentMedicine, School of Medicineen_US
dc.date.accessioned2022-04-20T18:43:46Z
dc.date.available2022-04-20T18:43:46Z
dc.date.issued2019-12
dc.description.abstractNovel biomarkers of type 2 diabetes (T2D) and response to preventative treatment in individuals with similar clinical risk may highlight metabolic pathways that are important in disease development. We profiled 331 metabolites in 2,015 baseline plasma samples from the Diabetes Prevention Program (DPP). Cox models were used to determine associations between metabolites and incident T2D, as well as whether associations differed by treatment group (i.e., lifestyle [ILS], metformin [MET], or placebo [PLA]), over an average of 3.2 years of follow-up. We found 69 metabolites associated with incident T2D regardless of treatment randomization. In particular, cytosine was novel and associated with the lowest risk. In an exploratory analysis, 35 baseline metabolite associations with incident T2D differed across the treatment groups. Stratification by baseline levels of several of these metabolites, including specific phospholipids and AMP, modified the effect that ILS or MET had on diabetes development. Our findings highlight novel markers of diabetes risk and preventative treatment effect in individuals who are clinically at high risk and motivate further studies to validate these interactions.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationChen ZZ, Liu J, Morningstar J, et al. Metabolite Profiles of Incident Diabetes and Heterogeneity of Treatment Effect in the Diabetes Prevention Program. Diabetes. 2019;68(12):2337-2349. doi:10.2337/db19-0236en_US
dc.identifier.urihttps://hdl.handle.net/1805/28609
dc.language.isoen_USen_US
dc.publisherAmerican Diabetes Associationen_US
dc.relation.isversionof10.2337/db19-0236en_US
dc.relation.journalDiabetesen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectAgeden_US
dc.subjectBiomarkersen_US
dc.subjectDiabetes Mellitus, Type 2en_US
dc.subjectMetabolomeen_US
dc.subjectRisk factorsen_US
dc.titleMetabolite Profiles of Incident Diabetes and Heterogeneity of Treatment Effect in the Diabetes Prevention Programen_US
dc.typeArticleen_US
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