Novel biomarkers for pre-diabetes identified by metabolomics
By R. Wang-Sattler, Zhonghao Yu, C. Herder, Ana C. Messias, Anna Floegel, Ying He, K. Heim, Monica Campillos, C. Holzapfel, B. Thorand and 32 more. Molecular Systems Biology, 2012
660 citations recorded by the source corpus.
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.
Subfields: Molecular Biology, Physiology
View Paper: https://www.semanticscholar.org/paper/a33953bd6c7906f7ada3c7b797ca6e0a49336041
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Citations in the corpus
- The Role of Microbial Amino Acid Metabolism in Host Metabolism (2015, background): “adjustment for age, sex, BMI, physical activity, alcohol intake, smoking, systolic blood pressure and HDL cholesterol, suggesting that BCAAs may exert independent effects on insulin resistance and T2DM risk [97].”
- Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis (2016, background): “With respect to acylcarnitines, five targeted and two untargeted analyses investigated some of these metabolites; three analyses found significant associations with prediabetes/type 2 diabetes (6,45,50).”