Frontiers in Endocrinology (Jan 2022)

Identification of Key LncRNAs and Pathways in Prediabetes and Type 2 Diabetes Mellitus for Hypertriglyceridemia Patients Based on Weighted Gene Co-Expression Network Analysis

  • Shoumeng Yan,
  • Mengzi Sun,
  • Lichao Gao,
  • Nan Yao,
  • Tianyu Feng,
  • Yixue Yang,
  • Xiaotong Li,
  • Wenyu Hu,
  • Weiwei Cui,
  • Bo Li

DOI
https://doi.org/10.3389/fendo.2021.800123
Journal volume & issue
Vol. 12

Abstract

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AimsPrevalence of prediabetes and type 2 diabetes mellitus(T2DM) are increasing worldwide. Key lncRNAs were detected to provide a reference for searching potential biomarkers of prediabetes and T2DM in hypertriglyceridemia patients.MethodsThe study included 18 hypertriglyceridemia patients: 6 newly diagnosed type 2 diabetes patients, 6 samples with prediabetes and 6 samples with normal blood glucose. Weighted gene co-expression network analysis (WGCNA) was conducted to construct co‐expression network and obtain modules related to blood glucose, thus detecting key lncRNAs.ResultsThe green, yellow and yellow module was significantly related to blood glucose in T2DM versus normal controls, T2DM versus prediabetes, prediabetes versus normal controls, respectively. ENST00000503273, ENST00000462720, ENST00000480633 and ENST00000485392 were detected as key lncRNAs for the above three groups, respectively.ConclusionsFor hypertriglyceridemia patients with different blood glucose levels, ENST00000503273, ENST00000462720 and ENST00000480633 could be potential biomarkers of T2DM.

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