Data released on May 08, 2017
The relationship between dyslipidemia and type 2 diabetes (T2D) has been extensively reported, but the global lipid profiles, especially in the East Asia population, associated with the development of T2D remain to be characterized. Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) was applied to detect the global lipidome in fasting plasma of 293 Chinese individuals, including 114 T2D patients, 81 prediabetic subjects and 98 individuals with normal glucose tolerance (NGT). Both qualitative and quantitative analyses revealed a gradual change in plasma lipid features going from NGT individuals over prediabetic to T2D individuals with T2D patients exhibiting characteristics close to those in prediabetic individuals, whereas they differed significantly from individuals with NGT. We constructed and validated a random forest (RF) classifier with 28 lipidomic features that effectively discriminated T2D from NGT or prediabetes. The majority of the selected features showed significant correlations with diabetic clinical indices. Hydroxybutyrylcarnitine was positively correlated with fasting plasma glucose (FPG), 2-hour postprandial glucose (2h-PG), glycated hemoglobin (HbA1c) and insulin resistance index (HOMA-IR), and lysophosphatidylcholines such as LysoPC (18:0), LysoPC (18:1) and LysoPC (18:2) were all negatively correlated with HOMA-IR.
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MetaboLights:
MTBLS352
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