Post-transcriptional markers associated with clinical complications in Type 1 and Type 2 diabetes mellitus

Mol Cell Endocrinol. 2019 Jun 15:490:1-14. doi: 10.1016/j.mce.2019.03.008. Epub 2019 Mar 26.

Abstract

The delayed diagnosis and the inadequate treatment of diabetes increase the risk of chronic complications. The study of regulatory molecules such as miRNAs can provide expression profiles of diabetes and diabetes complications. We evaluated the mononuclear cell miRNA profiles of 63 Type 1 and Type 2 diabetes patients presenting or not microvascular complications, and 40 healthy controls, using massive parallel sequencing. Gene targets, enriched pathways, dendograms and miRNA-mRNA networks were performed for the differentially expressed miRNAs. Six more relevant miRNAs were validated by RT-qPCR and data mining analysis. MiRNAs associated with specific complications included: i) neuropathy (miR-873-5p, miR-125a-5p, miR-145-3p and miR-99b-5p); ii) nephropathy (miR-1249-3p, miR-193a-5p, miR-409-5p, miR-1271-5p, miR-501-3p, miR-148b-3p and miR-9-5p); and iii) retinopathy (miR-143-3p, miR-1271-5p, miR-409-5p and miR-199a-5p). These miRNAs mainly targeted gene families and specific genes associated with advanced glycation end products and their receptors. Sets of miRNAs were also defined as potential targets for diabetes/diabetes complication pathogenesis.

Keywords: Biomarkers; Diabetes microvascular complications; Type 1 diabetes; Type 2 diabetes; miRNome analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Biomarkers / metabolism*
  • Cluster Analysis
  • Data Mining
  • Diabetes Mellitus, Type 1 / complications*
  • Diabetes Mellitus, Type 1 / genetics*
  • Diabetes Mellitus, Type 2 / complications*
  • Diabetes Mellitus, Type 2 / genetics*
  • Female
  • Gene Expression Profiling
  • Gene Regulatory Networks
  • Humans
  • Male
  • MicroRNAs / genetics
  • MicroRNAs / metabolism
  • Middle Aged
  • Reproducibility of Results
  • Transcription, Genetic*
  • Young Adult

Substances

  • Biomarkers
  • MicroRNAs