Non-targeted urine metabolomics and associations with prevalent and incident type 2 diabetes

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Salihovic , S , Broeckling , C D , Ganna , A , Prenni , J E , Sundström , J , Berne , C , Lind , L , Ingelsson , E , Fall , T , Ärnlöv , J & Nowak , C 2020 , ' Non-targeted urine metabolomics and associations with prevalent and incident type 2 diabetes ' , Scientific Reports , vol. 10 , no. 1 , 16474 . https://doi.org/10.1038/s41598-020-72456-y

Title: Non-targeted urine metabolomics and associations with prevalent and incident type 2 diabetes
Author: Salihovic, Samira; Broeckling, Corey D.; Ganna, Andrea; Prenni, Jessica E.; Sundström, Johan; Berne, Christian; Lind, Lars; Ingelsson, Erik; Fall, Tove; Ärnlöv, Johan; Nowak, Christoph
Contributor: University of Helsinki, Institute for Molecular Medicine Finland
Date: 2020-10-05
Language: eng
Number of pages: 9
Belongs to series: Scientific Reports
ISSN: 2045-2322
URI: http://hdl.handle.net/10138/321018
Abstract: Better risk prediction and new molecular targets are key priorities in type 2 diabetes (T2D) research. Little is known about the role of the urine metabolome in predicting the risk of T2D. We aimed to use non-targeted urine metabolomics to discover biomarkers and improve risk prediction for T2D. Urine samples from two community cohorts of 1,424 adults were analyzed by ultra-performance liquid chromatography/mass spectrometry (UPLC-MS). In a discovery/replication design, three out of 62 annotated metabolites were associated with prevalent T2D, notably lower urine levels of 3-hydroxyundecanoyl-carnitine. In participants without diabetes at baseline, LASSO regression in the training set selected six metabolites that improved prediction of T2D beyond established risk factors risk over up to 12 years' follow-up in the test sample, from C-statistic 0.866 to 0.892. Our results in one of the largest non-targeted urinary metabolomics study to date demonstrate the role of the urine metabolome in identifying at-risk persons for T2D and suggest urine 3-hydroxyundecanoyl-carnitine as a biomarker candidate.
Subject: MELLITUS
ANNOTATION
PLASMA
BLOOD
RISK
3121 Internal medicine
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