Association between the polymorphism and expression level of the family microRNA-181 and susceptibility of ischemic stroke / 解剖学报

ABSTRACT

[Abstract] Objective To explore the association between rs16927589, rs77418916, rs8108402 of the family microRNA(miR)-181 polymorphisms and ischemic stroke(IS),and compare the expression of miR-181 genes between control group and IS group, further explore the association between polymorphisms and the expression levels of genes, to provide assistance for the prevention and treatment of IS. Methods SNaPshot technique and DNA sequencing were used to examine the single nucleotide polymorphism(SNP) genotypes of 349 patients of IS and 372 controls, serum lipid level was detected by biochemical analyzer 7600; The expression level of miR-181 genes in peripheral blood mononuclear cells of control group and IS group were detected by ABI7500 Real-time PCR. Results The genotype and allele of rs8108402 were compared between the control group and IS group, and it was found that compared with CC genotype, the risk of IS was significantly increased among people with CT genotype, TT genotype was opposite [CC vs CTodds ratio(OR)= 1. 56,95% confidence interval(CI),1. 11-2. 18,P= 0. 011;CC vs TT OR= 0. 25, 95% CI,0. 10-0. 62, P= 0. 003]. However, there were no correlation with IS of rs16927589 and rs77418916 polymorphisms. Stratified analysis of rs8108402 showed that the low-density lipoprotein (LDL-C) of IS patients with CC genotype was higher than that of IS patients with CT genotype (P0. 05). Further analysis of rs8108402 polymorphism and gene expression level showed no correlation between rs8108402 polymorphism and gene expression level. Conclusion The CT and TT genotypes at rs8108402 of miR-181c increase the risk of IS, while the CTC haplotype increase the risk of IS. The polymorphism of rs8108402 is correlated with the level of LDL-C. There are significant differences in the expression of miR-181 gene clusters between the normal control group and the IS group, and miR-181 clusters may be potential predictive targets and therapeutic targets of IS.