Bioinformatics Analysis of the Inflammation-Associated lncRNA-mRNA Coexpression Network in Type 2 Diabetes

J Renin Angiotensin Aldosterone Syst. 2023 Feb 22:2023:6072438. doi: 10.1155/2023/6072438. eCollection 2023.

Abstract

Introduction: Diabetes is a chronic inflammatory state, and a key role of lncRNAs in diabetes complications is a new area of research.

Methods: In this study, key lncRNAs related to diabetes inflammation were identified by RNA-chip mining and lncRNA-mRNA coexpression network construction and finally verified by RT-qPCR.

Results: We ultimately obtained 12 genes, including A1BG-AS1, AC084125.4, RAMP2-AS1, FTX, DBH-AS1, LOXL1-AS1, LINC00893, LINC00894, PVT1, RUSC1-AS1, HCG25, and ATP1B3-AS1. RT-qPCR assays verified that LOXL1-AS1, A1BG-AS1, FTX, PVT1, and HCG25 were upregulated in the HG+LPS-induced THP-1 cells, and LINC00893, LINC00894, RUSC1-AS1, DBH-AS1, and RAMP2-AS1 were downregulated in the HG+LPS-induced THP-1 cells.

Conclusions: lncRNAs and mRNAs are extensively linked and form a coexpression network, and lncRNAs may influence the development of type 2 diabetes by regulating the corresponding mRNAs. The ten key genes obtained may become biomarkers of inflammation in type 2 diabetes in the future.

MeSH terms

  • Computational Biology
  • Diabetes Mellitus, Type 2*
  • Humans
  • Inflammation
  • Lipopolysaccharides
  • RNA, Long Noncoding*
  • RNA, Messenger
  • Sodium-Potassium-Exchanging ATPase

Substances

  • RNA, Long Noncoding
  • RNA, Messenger
  • Lipopolysaccharides
  • ATP1B3 protein, human
  • Sodium-Potassium-Exchanging ATPase