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Gigascience. 2017 Jul 1;6(7):1-12. doi: 10.1093/gigascience/gix036.

Lipidomic profiling reveals distinct differences in plasma lipid composition in healthy, prediabetic, and type 2 diabetic individuals.

Zhong H1,2,3, Fang C1,2,4, Fan Y1, Lu Y5, Wen B1, Ren H1,2,4, Hou G6, Yang F1,2,7, Xie H1,2, Jie Z1,2, Peng Y1,2,8, Ye Z1,2, Wu J1,8, Zi J6, Zhao G2, Chen J2, Bao X2, Hu Y5, Gao Y5, Zhang J5, Yang H1,2,9, Wang J1,2,9, Madsen L1,10,11, Kristiansen K1,2,10, Ni C5, Li J1,2,3, Liu S1,6,12.

Author information

BGI-Shenzhen, Shenzhen 518083, China.
China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen 518083, China.
Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen 518083, China.
Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI-Shenzhen, Shenzhen 518083, China.
Suzhou Center for Disease Prevention and Control, Suzhou 215007, China.
Proteomics Division, BGI-Shenzhen, Shenzhen 518083, China.
BGI Education Center, University of Chinese Academy of Sciences, Beijing, China.
School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
James D. Watson Institute of Genome Sciences, Hangzhou 310058, China.
Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen Ø, Denmark.
National Institute of Nutrition and Seafood Research (NIFES), 5817 Bergen, Norway.
CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.


The relationship between dyslipidemia and type 2 diabetes mellitus (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 was applied to detect the global lipidome in the 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 with T2D patients exhibiting characteristics close to those of prediabetic individuals, whereas they differed significantly from individuals with NGT. We constructed and validated a random forest classifier with 28 lipidomic features that effectively discriminated T2D from NGT or prediabetes. Most of the selected features significantly correlated with diabetic clinical indices. Hydroxybutyrylcarnitine was positively correlated with fasting plasma glucose, 2-hour postprandial glucose, glycated hemoglobin, and insulin resistance index (HOMA-IR). Lysophosphatidylcholines such as lysophosphatidylcholine (18:0), lysophosphatidylcholine (18:1), and lysophosphatidylcholine (18:2) were all negatively correlated with HOMA-IR. The altered plasma lipidome in Chinese T2D and prediabetic subjects suggests that lipid features may play a role in the pathogenesis of T2D and that such features may provide a basis for evaluating risk and monitoring disease development.


lipidomics; plasma; prediabetes; type 2 diabetes

[Indexed for MEDLINE]
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