Ivan Kiselev

Variants of MicroRNA Genes: Gender-Specific Associations with Multiple Sclerosis Risk and Severity

Multiple sclerosis (MS) is an autoimmune neuro-inflammatory disease arising from complex interactions of genetic, epigenetic, and environmental factors. Variations in genes of some microRNAs—key post-transcriptional regulators of many genes—can influence microRNAs expression/function and contribute to MS via expression changes of protein-coding target mRNA genes. We performed an association study of polymorphous variants of MIR146A rs2910164, MIR196A2 rs11614913, MIR499A rs3746444 MIR223 rs1044165 and their combinations with MS risk and severity. 561 unrelated patients with bout-onset MS and 441 healthy volunteers were enrolled in the study. We observed associations of MS risk with allele MIR223*T and combination (MIR223*T + MIR146A*G/G) carriage in the entire groups and in women at Bonferroni-corrected significance level (pcorr < 0.05). Besides, MIR146A*G/G association with MS was observed in women with nominal significance (pf = 0.025). No MS associations were found in men. A more severe MS course (MSSS value > 3.5) was associated with the carriage of MIR499A*C/T and, less reliably, of MIR499A*C (pcorr = 0.006 and pcorr = 0.024, respectively) and with the carriage of combinations (MIR499A*C/T + MIR196A2*C) and (MIR499A*C + MIR196A2*C) (pcorr = 0.00078 and pcorr = 0.0059, respectively). These associations also showed gender specificity, as they were not significant in men and substantially reinforced in women. The strongest association with MS severity was observed in women for combination (MIR499A*C/T + MIR196A2*C): pcorr = 4.43 × 10−6 and OR = 3.23 (CI: 1.99–5.26).

GWAS-identified multiple sclerosis risk loci involved in immune response: Validation in Russians

Multiple sclerosis (MS) is a chronic neuro-inflammatory disease of complex etiology. The results of GWAS, a high-throughput method to discover genetic architecture of MS, require replication in independent ethnic groups. We performed a replication study of nine GWAS-identified SNPs in immune response in Russians. Associations of CLEC16A and IL2RA with MS were validated. Besides, we observed the associations of CLEC16A and IRF8 in women, and IL7RA and CD58 in men. With multi-locus association analysis two protective biallelic combinations: (TNFRSF1A*T+CLEC16A*A) and (TNFRSF1A*T+IRF8*A) were identified in women. Associations of CLEC16A*G/G and both biallelic combinations in women with MS survived the permutation test.

Immune-related miRNA expression patterns in peripheral blood mononuclear cells differ in multiple sclerosis relapse and remission

MiRNAs were shown to participate in development of autoimmune inflammatory process in multiple sclerosis (MS). To investigate miRNAs involvement in relapse-remission MS course, we analyzed expression of immune-related miRNAs in PBMC of treatment-naïve relapsing and remitting MS patients and healthy controls. The upregulation of miR-126-3p, miR-146b-5p, miR-155, miR-196a-5p, miR-21-5p, miR-223-3p, miR-326 and miR-379-5p in remission compared to relapse was observed; when apply gender stratification, miR-223-3p and miR-379-5p were upregulated only in men. Therefore, miRNAs play essential role in maintaining stable MS course and this process has certain gender-specific differences.

NGS-identified circulating miR-375 as a potential regulating component of myocardial infarction associated network

Acute myocardial infarction (MI), the most severe type of coronary heart disease, is a leading cause of disability and mortality worldwide. In order to investigate the involvement of miRNAs in the pathologic processes related to MI, we performed the analysis of circulating miRNAs - stable short noncoding RNA molecules - in the peripheral blood plasma of MI patients compared to healthy controls (all persons were men and lived in European Russia) using next generation sequencing. We observed 20 miRNAs, which levels in plasma more than two-fold differed in MI patients (p < 0.05). Among them miR-208b and miR-375 passed threshold for multiple corrections (FC = 49.2, FDR-adjusted p-value = 0.0078 and FC = -6.4, FDR-adjusted p-value = 0.00076, respectively); these data were then validated using RT-qPCR (FC = 5.3, p-value = 0.028 and FC = -2.1, p-value = 0.0039, respectively). While for miR-208b we reidentified earlier observations, miR-375 was found to be associated with MI for the first time. To investigate the reasons for which miR-375 holds a special place among circulating miRNAs in MI, enrichment and network analyses of miR-375 target genes and their interactions were carried out. PIK3CA and TP53 genes, regulated by miR-375, were identified as the key players of MI disease module.