The miRNA Expression Profile of Experimental Autoimmune Encephalomyelitis Reveals Novel Potential Disease Biomarkers

Int J Mol Sci. 2018 Dec 11;19(12):3990. doi: 10.3390/ijms19123990.

Abstract

Multiple sclerosis (MS) is a debilitating autoimmune disease affecting over 2.3 million people worldwide, and it is characterized by inflammation and demyelination of nerve cells. The currently available biomarkers for the diagnosis and management of MS have inherent limitations, therefore, additional new biomarkers are needed. We studied the microRNA (miRNA) profile of splenocytes of mice having experimental autoimmune encephalomyelitis (EAE), a model of human MS. A miRNA-microarray analysis revealed increased expression of nine miRNAs (let-7e, miR-23b, miR-31, miR-99b, miR-125a, miR-146b, miR-155, miR-193b, and miR-221) following EAE development. Interestingly, serum levels of miR-99b, miR-125a, and miR-146b were significantly higher in EAE mice compared to normal mice. Bioinformatics analysis revealed the experimentally validated as well as predicted gene targets of specific miRNAs that are important for disease progression in MS. Specifically, we observed inverse correlation in the levels of miR-99b versus LIF, and between miR-125a versus BDNF and LIF. Our results suggest that above-mentioned miRNAs may play a crucial role in the pathogenesis of MS, and that miR-99b, miR-125a, and miR-146b in particular may serve as useful biomarkers for disease activity.

Keywords: MOG35–55; Micro-RNA; experimental autoimmune encephalomyelitis; inflammation; miR-125a; miR-146b; miR-193b; miR-99b; miRNA; multiple sclerosis; myelin oligodendrocyte glycoprotein (MOG).

MeSH terms

  • Animals
  • Biomarkers / metabolism
  • Cell Differentiation / genetics
  • Cell Differentiation / physiology
  • Encephalomyelitis, Autoimmune, Experimental / genetics*
  • Encephalomyelitis, Autoimmune, Experimental / metabolism*
  • Humans
  • MicroRNAs / genetics*
  • MicroRNAs / metabolism*
  • Multiple Sclerosis / genetics
  • Multiple Sclerosis / metabolism
  • Signal Transduction / genetics
  • Signal Transduction / physiology

Substances

  • Biomarkers
  • MicroRNAs