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Non-targeted urine metabolomics and associations with prevalent and incident type 2 diabetes
by
Salihovic, Samira
, Prenni, Jessica E.
, Lind, Lars
, Ingelsson, Erik
, Nowak, Christoph
, Ganna, Andrea
, Broeckling, Corey D.
, Sundström, Johan
, Fall, Tove
, Berne, Christian
, Ärnlöv, Johan
in
631/1647/320
/ 692/163
/ 692/53
/ 692/699/2743
/ 692/699/317
/ Aged
/ Biomarkers
/ Biomarkers - metabolism
/ Carnitine
/ Carnitine - urine
/ Case-Control Studies
/ Chromatography, Liquid - methods
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - etiology
/ Diabetes Mellitus, Type 2 - urine
/ Female
/ Health and Welfare
/ Humanities and Social Sciences
/ Humans
/ Hälsa och välfärd
/ Incidence
/ Liquid chromatography
/ Male
/ Mass spectrometry
/ Mass spectroscopy
/ Metabolites
/ Metabolome - physiology
/ Metabolomics
/ Metabolomics - methods
/ multidisciplinary
/ Predictions
/ Prevalence
/ Risk Factors
/ Science
/ Science (multidisciplinary)
/ Tandem Mass Spectrometry - methods
/ Urine
/ Urine - physiology
2020
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Non-targeted urine metabolomics and associations with prevalent and incident type 2 diabetes
by
Salihovic, Samira
, Prenni, Jessica E.
, Lind, Lars
, Ingelsson, Erik
, Nowak, Christoph
, Ganna, Andrea
, Broeckling, Corey D.
, Sundström, Johan
, Fall, Tove
, Berne, Christian
, Ärnlöv, Johan
in
631/1647/320
/ 692/163
/ 692/53
/ 692/699/2743
/ 692/699/317
/ Aged
/ Biomarkers
/ Biomarkers - metabolism
/ Carnitine
/ Carnitine - urine
/ Case-Control Studies
/ Chromatography, Liquid - methods
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - etiology
/ Diabetes Mellitus, Type 2 - urine
/ Female
/ Health and Welfare
/ Humanities and Social Sciences
/ Humans
/ Hälsa och välfärd
/ Incidence
/ Liquid chromatography
/ Male
/ Mass spectrometry
/ Mass spectroscopy
/ Metabolites
/ Metabolome - physiology
/ Metabolomics
/ Metabolomics - methods
/ multidisciplinary
/ Predictions
/ Prevalence
/ Risk Factors
/ Science
/ Science (multidisciplinary)
/ Tandem Mass Spectrometry - methods
/ Urine
/ Urine - physiology
2020
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Non-targeted urine metabolomics and associations with prevalent and incident type 2 diabetes
by
Salihovic, Samira
, Prenni, Jessica E.
, Lind, Lars
, Ingelsson, Erik
, Nowak, Christoph
, Ganna, Andrea
, Broeckling, Corey D.
, Sundström, Johan
, Fall, Tove
, Berne, Christian
, Ärnlöv, Johan
in
631/1647/320
/ 692/163
/ 692/53
/ 692/699/2743
/ 692/699/317
/ Aged
/ Biomarkers
/ Biomarkers - metabolism
/ Carnitine
/ Carnitine - urine
/ Case-Control Studies
/ Chromatography, Liquid - methods
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - etiology
/ Diabetes Mellitus, Type 2 - urine
/ Female
/ Health and Welfare
/ Humanities and Social Sciences
/ Humans
/ Hälsa och välfärd
/ Incidence
/ Liquid chromatography
/ Male
/ Mass spectrometry
/ Mass spectroscopy
/ Metabolites
/ Metabolome - physiology
/ Metabolomics
/ Metabolomics - methods
/ multidisciplinary
/ Predictions
/ Prevalence
/ Risk Factors
/ Science
/ Science (multidisciplinary)
/ Tandem Mass Spectrometry - methods
/ Urine
/ Urine - physiology
2020
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Non-targeted urine metabolomics and associations with prevalent and incident type 2 diabetes
Journal Article
Non-targeted urine metabolomics and associations with prevalent and incident type 2 diabetes
2020
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Overview
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ 692/163
/ 692/53
/ Aged
/ Chromatography, Liquid - methods
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - etiology
/ Diabetes Mellitus, Type 2 - urine
/ Female
/ Humanities and Social Sciences
/ Humans
/ Male
/ Science
/ Tandem Mass Spectrometry - methods
/ Urine
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