Circulating metabolites and the development of type 2 diabetes in Chinese adults

Objective To assess prospective associations of circulating metabolites with risk of type 2 diabetes (T2D) among Chinese adults. Research Design and Methods A case-cohort study within the 8-year prospective China Kadoorie Biobank comprised 882 incident cases of T2D and 789 subcohort participants. NMR metabolomic profiling quantified 225 metabolites in stored baseline plasma samples. Cox regression related individual metabolites with T2D risk, adjusting for potential confounders and fasting time. Results After correction for multiple testing, 163 metabolites were significantly associated with risk of T2D (p<0.05). There were strong positive associations of VLDL particle size, the ratio of apolipoprotein B/apolipoprotein A1, branched chain amino acids, glucose and triglycerides with T2D, and inverse associations of HDL-cholesterol, HDL particle size, and relative omega-3 and saturated fatty acid concentrations. Conclusions In Chinese adults, metabolites across diverse pathways were independently associated with T2D risk, providing valuable aetiological insights and potential to improve T2D risk prediction

[1]  Jennifer G. Robinson,et al.  n-3 Fatty Acid Biomarkers and Incident Type 2 Diabetes: An Individual Participant-Level Pooling Project of 20 Prospective Cohort Studies , 2021, Diabetes Care.

[2]  T. Lehtimäki,et al.  Circulating metabolites and the risk of type 2 diabetes: a prospective study of 11,896 young adults from four Finnish cohorts , 2019, bioRxiv.

[3]  R. Collins,et al.  Lipids, Lipoproteins, and Metabolites and Risk of Myocardial Infarction and Stroke , 2018, Journal of the American College of Cardiology.

[4]  T. Hansen,et al.  Genetic evidence of a causal effect of insulin resistance on branched-chain amino acid levels , 2017, Diabetologia.

[5]  Inês Barroso,et al.  Genetic Predisposition to an Impaired Metabolism of the Branched-Chain Amino Acids and Risk of Type 2 Diabetes: A Mendelian Randomisation Analysis , 2016, PLoS medicine.

[6]  F. Hu,et al.  Plasma metabolomics identified novel metabolites associated with risk of type 2 diabetes in two prospective cohorts of Chinese adults. , 2016, International journal of epidemiology.

[7]  Frank B Hu,et al.  Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis , 2016, Diabetes Care.

[8]  R. Collins,et al.  Associations of blood glucose and prevalent diabetes with risk of cardiovascular disease in 500 000 adult Chinese: the China Kadoorie Biobank , 2014, Diabetic medicine : a journal of the British Diabetic Association.

[9]  R. Collins,et al.  China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up. , 2011, International journal of epidemiology.

[10]  A. Jenkins,et al.  Effects of insulin resistance and type 2 diabetes on lipoprotein subclass particle size and concentration determined by nuclear magnetic resonance. , 2003, Diabetes.

[11]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[12]  R. L. Prentice,et al.  A case-cohort design for epidemiologic cohort studies and disease prevention trials , 1986 .