Open AccessNovel biomarkers for pre‐diabetes identified by metabolomics
Author(s) -
WangSattler Rui,
Yu Zhonghao,
Herder Christian,
Messias Ana C,
Floegel Anna,
He Ying,
Heim Katharina,
Campillos Monica,
Holzapfel Christina,
Thorand Barbara,
Grallert Harald,
Xu Tao,
Bader Erik,
Huth Cornelia,
Mittelstrass Kirstin,
Döring Angela,
Meisinger Christa,
Gieger Christian,
Prehn Cornelia,
RoemischMargl Werner,
Carstensen Maren,
Xie Lu,
YamanakaOkumura Hisami,
Xing Guihong,
Ceglarek Uta,
Thiery Joachim,
Giani Guido,
Lickert Heiko,
Lin Xu,
Li Yixue,
Boeing Heiner,
Joost HansGeorg,
de Angelis Martin Hrabé,
Rathmann Wolfgang,
Suhre Karsten,
Prokisch Holger,
Peters Annette,
Meitinger Thomas,
Roden Michael,
Wichmann HErich,
Pischon Tobias,
Adamski Jerzy,
Illig Thomas
Publication year - 2012
Publication title -
molecular systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.523
H-Index - 148
ISSN - 1744-4292
DOI - 10.1038/msb.2012.43
Subject(s) - european prospective investigation into cancer and nutrition , type 2 diabetes , biology , metabolomics , metabolite , diabetes mellitus , impaired glucose tolerance , medicine , endocrinology , population , metabolome , bioinformatics , body mass index , environmental health
Type 2 diabetes (T2D) can be prevented in pre‐diabetic individuals with impaired glucose tolerance (IGT). Here, we have used a metabolomics approach to identify candidate biomarkers of pre‐diabetes. We quantified 140 metabolites for 4297 fasting serum samples in the population‐based Cooperative Health Research in the Region of Augsburg (KORA) cohort. Our study revealed significant metabolic variation in pre‐diabetic individuals that are distinct from known diabetes risk indicators, such as glycosylated hemoglobin levels, fasting glucose and insulin. We identified three metabolites (glycine, lysophosphatidylcholine (LPC) (18:2) and acetylcarnitine) that had significantly altered levels in IGT individuals as compared to those with normal glucose tolerance, with P ‐values ranging from 2.4 × 10 −4 to 2.1 × 10 −13 . Lower levels of glycine and LPC were found to be predictors not only for IGT but also for T2D, and were independently confirmed in the European Prospective Investigation into Cancer and Nutrition (EPIC)‐Potsdam cohort. Using metabolite–protein network analysis, we identified seven T2D‐related genes that are associated with these three IGT‐specific metabolites by multiple interactions with four enzymes. The expression levels of these enzymes correlate with changes in the metabolite concentrations linked to diabetes. Our results may help developing novel strategies to prevent T2D.