4.7 Article

Circulating Metabolites and the Development of Type 2 Diabetes in Chinese Adults

Journal

DIABETES CARE
Volume 45, Issue 2, Pages 477-480

Publisher

AMER DIABETES ASSOC
DOI: 10.2337/dc21-1415

Keywords

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Funding

  1. Kadoorie Charitable Foundation in Hong Kong
  2. UK Wellcome Trust [088158/Z/09/Z, 104085/Z/14/Z, 202922/Z/16/Z, 212946/Z/18/Z]
  3. Chinese Ministry of Science and Technology [2011BAI09B01]
  4. Chinese National Natural Science Foundation [91843302]
  5. National Key Research and Development Program of China [2016 YFC0900500, 2016YFC0900501, 2016YFC090 0504, 2016YFC1303904]
  6. British Heart Foundation [CH/1996001/9454]
  7. UK Medical Research Council [MC_UU_00017/1, MC_UU_ 12026/2, MC_U137686851]
  8. Cancer Research UK [C16077/A29186, C500/A16896]

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Metabolites across diverse pathways were independently associated with the risk of T2D in Chinese adults, providing valuable etiological insights and potential to improve T2D risk prediction.
OBJECTIVE To assess prospective associations of circulating metabolites with the 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 participants with incident T2D and 789 subcohort participants. Nuclear magnetic resonance 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 the risk of T2D (P < 0.05). There were strong positive associations of VLDL particle size, the ratio of apolipoprotein B to apolipoprotein A-1, branched-chain amino acids, glucose, and triglycerides with T2D, and inverse associations of HDL-cholesterol, HDL particle size, and relative n-3 and saturated fatty acid concentrations. CONCLUSIONS In Chinese adults, metabolites across diverse pathways were independently associated with T2D risk, providing valuable etiological insights and potential to improve T2D risk prediction.

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