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Menni, C.* ; Fauman, E.* ; Erte, I.* ; Perry, J.R.* ; Kastenmüller, G. ; Shin, S.Y.* ; Petersen, A.-K. ; Hyde, C.* ; Psatha, M.* ; Ward, K.J.* ; Yuan, W.* ; Milburn, M.V.* ; Palmer, C.N.* ; Frayling, T.M.* ; Trimmer, J.* ; Bell, J.T.* ; Gieger, C. ; Mohney, R.P.* ; Brosnan, M.J.* ; Suhre, K. ; Soranzo, N.* ; Spector, T.D.*

Biomarkers for type 2 diabetes and impaired fasting glucose using a non-targeted metabolomics approach.

Diabetes 62, 4270-4276 (2013)
Verlagsversion Volltext DOI PMC
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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Using a non-targeted metabolomics approach of 447 fasting plasma metabolites, we searched for novel molecular markers that arise before and after hyperglycaemia in a large population-based cohort of 2,204 females (115 Type 2 Diabetes-T2D cases, 192 individuals with impaired fasting glucose- IFG and 1,897 controls) from TwinsUK.Forty-two metabolites from three major fuel sources, carbohydrates, lipids and proteins, were found to significantly correlate with T2D after adjusting for multiple testing; of these, 22 were previously reported as associated with T2D or insulin resistance. Fourteen metabolites were found to be associated with IFG. Among the metabolites identified, the branched-chain-keto-acid metabolite 3-methyl-2-oxovalerate, was the strongest predictive biomarker for IFG after glucose (OR=1.65, 95%CI=1.39,1.95, P=8.46x10(-9)) and was moderately heritable (h(2)=0.20). The association was replicated in an independent population (n=720, OR=1.68, 95%CI=1.34, 2.11, P=6.52x10(-6)) and validated in 189 Twins with urine metabolomics taken at the same time as plasma (OR=1.87, 95%CI=1.27,2.75, P=1x10(-3)). Results confirm an important role for catabolism of branched-chain-amino-acids in T2D and IFG.In conclusion, this T2D-IFG biomarker study has surveyed the broadest panel of non-targeted metabolites to date, revealing both novel and known associated metabolites and providing potential novel targets for clinical prediction and a deeper understanding of causal mechanisms.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Metabolite Profiles; Insulin-resistance; Amino-acids; Risk; Association; Mellitus; Reveal; Plasma; Mice
Sprache englisch
Veröffentlichungsjahr 2013
HGF-Berichtsjahr 2013
ISSN (print) / ISBN 0012-1797
e-ISSN 1939-327X
Zeitschrift Diabetes
Quellenangaben Band: 62, Heft: 12, Seiten: 4270-4276 Artikelnummer: , Supplement: ,
Verlag American Diabetes Association
Verlagsort Alexandria, VA.
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Genetic Epidemiology (IGE)
POF Topic(s) 30505 - New Technologies for Biomedical Discoveries
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Forschungsfeld(er) Enabling and Novel Technologies
Genetics and Epidemiology
PSP-Element(e) G-503700-001
G-504100-001
PubMed ID 23884885
DOI 10.2337/db13-0570
WOS ID WOS:000333738500045
Erfassungsdatum 2013-11-22
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