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Association of miR-146a and miR196a2 genotype with susceptibility to idiopathic recurrent pregnancy loss in Iranian women: A case-control study. | LitMetric

AI Article Synopsis

  • * This study aimed to investigate the connection between specific SNPs (miR-146aC G and miR-196a2T C) and the likelihood of RPL in a sample of Iranian women who had experienced multiple miscarriages compared to a control group.
  • * Findings revealed no significant differences in the distribution of the examined miRNA polymorphisms between women with RPL and those without, suggesting that these specific genetic variations may not play a crucial role in RPL susceptibility.

Article Abstract

Background: Recurrent pregnancy loss (RPL) is the most common complaint of pregnancy in females with a prevalence of 5%. Numerous documents have shown that single nucleotide polymorphisms are able to change miRNA transcription and/or maturation, which may alter the incidence of disorders such as RPL.

Objective: To assess the relationship of miR-146aC G (rs2910164) and miR-196a2T C (rs11614913) with RPL susceptibility in Iranian women.

Materials And Methods: Blood samples were collected from 214 women who had experienced at least two consecutive spontaneous miscarriages (case) and 147 normal individuals without a history of miscarriage (control). MiR-146aC G and miR-196a2T C genotypes were evaluated via the restriction fragment length polymorphism technique.

Results: The genotypes incidence did not show a significant difference in pre-miR-146aC G polymorphism CC vs CG + GG (p = 0.854; OR = 0.933; 95% CI) and CC + CG vs GG (p = 0.282; OR = 1.454; 95% CI). Also, no significant difference was observed between pre-miR-196a2T C polymorphism TT vs TC + CC (p = 0.862; OR = 0.938; 95% CI) and TT + TC vs CC and (p = 0.291; OR = 1.462; 95% CI) in both the case and control groups.

Conclusion: The results showed that although the distribution of miR-146aC G and miR-196a2T C was different between the unknown RPL and control groups, these variances were not statistically significant.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458919PMC
http://dx.doi.org/10.18502/ijrm.v19i8.9620DOI Listing

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