Implication of genetic variants in primary microRNA processing sites in the risk of multiple sclerosis

Michael Hecker1, Brit Fitzner1, Elena Putscher1

  • 1Department of Neurology, Division of Neuroimmunology, Rostock University Medical Center, Gehlsheimer Str. 20, Rostock 18147, Germany.

Ebiomedicine
|May 13, 2022
PubMed
Abstract

Insights

Multiple sclerosis (MS) risk single-nucleotide polymorphisms (SNPs) influence primary microRNA (pri-miRNA) processing, affecting mature microRNA expression. This impacts gene regulation and offers insights into MS genetic underpinnings.

Area of Science:

  • Genetics
  • Molecular Biology
  • Immunology

Background:

  • Multiple sclerosis (MS) is a central nervous system inflammatory disease with a significant genetic component.
  • Over 200 genetic loci are associated with MS susceptibility, but causative variants and their molecular mechanisms remain largely unknown.
  • This study investigates the hypothesis that MS-associated single-nucleotide polymorphisms (SNPs) affect primary microRNA (pri-miRNA) processing.

Purpose of the Study:

  • To investigate the functional impact of MS-associated SNPs on pri-miRNA processing and mature miRNA expression.
  • To identify specific miRNAs and their target genes affected by MS risk alleles.
  • To elucidate the role of miRNA dysregulation in the genetic basis of MS.

Main Methods:

  • Analysis of 11 pri-miRNAs encoded in MS risk loci, focusing on 9 primate-specific ones.
  • Quantification of mature miRNA and isomiR levels in B cells from MS patients and healthy controls.
  • Quantitative trait locus (cis-miR-eQTL) analyses to associate SNP genotypes with miRNA expression.
  • Luciferase reporter assays to assess genetic effects on miRNA processing efficiency.
  • Transcriptome profiling and computational analysis to identify miRNA target genes.

Main Results:

  • Differential expression of specific miRNAs (hsa-mir-26a-2, hsa-mir-199a-1) was observed between MS patients and controls.
  • MS risk allele T of SNP rs1005039 showed slightly more efficient Drosha-mediated processing of hsa-mir-199a-1.
  • MS risk allele A of SNP rs817478 markedly reduced processing efficiency of hsa-mir-4423.
  • Overexpression of hsa-mir-199a-1 inhibited 60 protein-coding genes, including IRAK2 and TRAF1; hsa-mir-4423 targeted TMEM47.

Conclusions:

  • MS-associated SNPs within pri-miRNA processing determinants can alter mature miRNA expression levels.
  • These findings contribute to understanding miRNA dysregulation in MS.
  • Further research into miRNA maturation and function across different cell types is warranted for a comprehensive understanding of MS genetics.

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