Role of miRNA polymorphisms on male and female infertility and recurrent implantation failure

In order to find relevant articles, a search was conducted in PubMed, WOS, Scopus, and the Cochrane Library databases using Mesh terms and Entry terms with the keywords (miRNA OR microRNA polymorphism) AND (abortion OR miscarriage OR infertility OR sterility OR pregnancy loss OR implantation failure).

The study revealed miRNA polymorphisms linked to a higher risk of male and female infertility and repeated implantation failure in IVF. These results underscore the significance of genetic variations in miRNAs in developing reproductive issues and the promise of personalized treatment strategies guided by genetic profiles.

These results provide valuable insights into the genetic basis of infertility and emphasize the need for further research to develop targeted diagnostic tools and therapies. Understanding the role of miRNA polymorphisms in reproductive health has significant implications for improving outcomes for couples struggling with infertility. By elucidating the genetic factors contributing to infertility, this study paves the way for personalized approaches to diagnosis and treatment, ultimately enhancing reproductive care. CONFLICT OF INTEREST STATEMENT All authors declare no relevant financial or non-financial interests. DATA AVAILABILITY STATEMENT This is the review article does not involve original data collection or analysis. Therefore, there is no primary data generated in this study.

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Oncotarget. 2016; 7(31): 49122–49129. https://doi.org/10.18632/oncotarget.8759 Citing Literature Article Metrics Total unique accesses to an article’s full text in HTML or PDF/ePDF format.More metric information Scite metrics Explore this article's citation statements on scite.ai Share QR Code Generating QR code QR code copied to clipboard! Something went wrong while generating your QR code. Please try again in a moment. If the issue persists, refresh the page or contact support. Export citation Unable to load citation data. Please try again in a moment. How to cite Elkins, L. J., & Spiegelman, M. (2021). pyUserCalc: A revised Jupyter notebook calculator for uranium-series disequilibria in basalts. Earth and Space Science, 8, e2020EA001619. https://doi.org/10.1029/2020EA001619 Download Citation If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. 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