Metabolome‐Genome‐Wide Association Study (mGWAS) Reveals Novel Metabolites Associated with Future Type 2 Diabetes Risk and Susceptibility Loci in a Case‐Control Study in a Chinese Prospective Cohort. Issue 4 (23rd March 2021)

• Record Type: Journal Article
• Authors: Ouyang, Yang; Qiu, Gaokun; zhao, Xinjie; Su, Benzhe; Feng, Disheng; Lv, Wangjie; Xuan, Qiuhui; Wang, Lichao; Yu, Di; Wang, Qingqing; Lin, Xiaohui; Wu, Tangchun; Xu, Guowang
• Is Part Of: Global challenges. Volume 5:Issue 4(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-03-23
• Subjects: genomics -- mGWAS -- nested case‐control study -- type 2 diabetes -- untargeted metabolomics; Climatic changes -- Periodicals; Sustainable development -- Periodicals; Globalization -- Environmental aspects -- Periodicals; Electronic journals; Periodicals; 500
• DOI: 10.1002/gch2.202000088
• Languages: English
• ISSNs: 2056-6646

Abstract

Abstract: In a Chinese prospective cohort, 500 patients with new‐onset type 2 diabetes (T2D) within 4.61 years and 500 matched healthy participants are selected as case and control groups, and randomized into discovery and validation sets to discover the metabolite changes before T2D onset and the related diabetogenic loci. A serum metabolomics analysis reveals that 81 metabolites changed significantly before T2D onset. Based on binary logistic regression, eight metabolites are defined as a biomarker panel for T2D prediction. Pipecolinic acid, carnitine C14:0, epinephrine and phosphatidylethanolamine 34:2 are first found associated with future T2D. The addition of the biomarker panel to the clinical markers (BMI, triglycerides, and fasting glucose) significantly improves the predictive ability in the discovery and validation sets, respectively. By associating metabolomics with genomics, a significant correlation ( p < 5.0 × 10 −8 ) between eicosatetraenoic acid and the FADS1 (rs174559) gene is observed, and suggestive correlations ( p < 5.0 × 10 −6 ) between pipecolinic acid and CHRM3 (rs535514), and leucine/isoleucine and WWOX (rs72487966) are discovered. Elevated leucine/isoleucine levels increased the risk of T2D. In conclusion, multiple metabolic dysregulations are observed to occur before T2D onset, and the new biomarker panel can help to predict T2D risk. Abstract : In a Chinese prospective cohort, 500 patients with new‐onset type 2 diabetes (T2D) within 4.61 years and 500 matched healthy participants are selected. A serum metabolomics analysis is performed and 81 metabolites are found to significantly change before T2D onset. The new biomarker panel helps to predict T2D. Gene FADS1, CHRM3, and WWOX are found to be associated with T2D‐related metabolites.