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Integrated lipidomics and transcriptomic analysis of peripheral blood reveals significantly enriched pathways in type 2 diabetes mellitus

  • Yunliang Wang*
  • , Chen Zhao
  • , Jinghe Mao
  • , Junmei Ai
  • , Ming Shenwu
  • , Tieliu Shi
  • , Daqing Zhang
  • , Xiaonan Wang
  • , Youping Deng
  • *此作品的通讯作者
  • Department of Neurology
  • 148 Hospital of PLA
  • Wuhan University of Science and Technology
  • Institute of Biomedical Sciences
  • East China Normal University
  • Department of Biology
  • Tougaloo College
  • Rush University
  • Center for Systems Biology
  • Soochow University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Background: Insulin resistance is a key element in the pathogenesis of type 2 diabetes mellitus. Plasma free fatty acids were assumed to mediate the insulin resistance, while the relationship between lipid and glucose disposal remains to be demonstrated across liver, skeletal muscle and blood. Methods. We profiled both lipidomics and gene expression of 144 total peripheral blood samples, 84 from patients with T2D and 60 from healthy controls. Then, factor and partial least squares models were used to perform a combined analysis of lipidomics and gene expression profiles to uncover the bioprocesses that are associated with lipidomic profiles in type 2 diabetes. Results: According to factor analysis of the lipidomic profile, several species of lipids were found to be correlated with different phenotypes, including diabetes-related C23:2CE, C23:3CE, C23:4CE, ePE36:4, ePE36:5, ePE36:6; race-related (African-American) PI36:1; and sex-related PE34:1 and LPC18:2. The major variance of gene expression profile was not caused by known factors and no significant difference can be directly derived from differential gene expression profile. However, the combination of lipidomic and gene expression analyses allows us to reveal the correlation between the altered lipid profile with significantly enriched pathways, such as one carbon pool by folate, arachidonic acid metabolism, insulin signaling pathway, amino sugar and nucleotide sugar metabolism, propanoate metabolism, and starch and sucrose metabolism. The genes in these pathways showed a good capability to classify diabetes samples. Conclusion: Combined analysis of gene expression and lipidomic profiling reveals type 2 diabetes-associated lipid species and enriched biological pathways in peripheral blood, while gene expression profile does not show direct correlation. Our findings provide a new clue to better understand the mechanism of disordered lipid metabolism in association with type 2 diabetes.

源语言英语
期刊论文编号S12
期刊BMC Medical Genomics
卷6
期SUPPL.1
DOI
出版状态已出版 - 2013

联合国可持续发展目标

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  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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