Coding and non-coding RNAS, as male fertility and infertility biomarkers

Loading...
Thumbnail Image
Authors
Aliakbari, Fereshteh
Eshghifar, Nahal
Mirfakhraie, Reza
Pourghorban, Parisa
Azizi, Faezeh
Issue Date
2021-06-22
Type
Article
Language
en_US
Keywords
Male Infertility , Semen , Spermatogenesis
Research Projects
Organizational Units
Journal Issue
Alternative Title
Abstract
Semen analysis is usually the first step in the assessment of male fertility. Although analyzes provide valuable information about male fertility, success of cytoplasmic sperm injection using this method is not predictable. In the recent years, studies have shown that sperm quality assessment helps clinicians predict male fertility status based on the expression of biomarkers. To write this article, a comprehensive study was conducted on several RNA transcripts by searching related words on medical information databases by 2018. According to the literature, spermatogenesis based disorders in male infertility have a significant relationship with the expression level of some RNA molecules (like DAZ and PRM1/PRM2 ratio) in semen and testicular tissue. Thus, they might be used as predictor biomarkers to evaluate success rate of testicular sperm extraction (TESE) procedure, but confirmation of this hypothesis requires more extensive research. By comparing the number of RNAs attributed to each fertility disorder in men, it is possible to trace the causes of disease or return fertility to some infertile patients by regulating the mentioned molecules. Further researches can provide a better understanding of the use of RNA expression profiles in the diagnosis and treatment of male infertility.
Description
Citation
Aliakbari, F., Eshghifar, N., Mirfakhraie, R., Pourghorban, P., & Azizi, F. (2021). Coding and Non-Coding RNAs, as Male Fertility and Infertility Biomarkers. International journal of fertility & sterility, 15(3), 158–166. https://doi.org/10.22074/IJFS.2021.134602
Publisher
International Journal of Fertility & Sterility
Journal
Volume
Issue
PubMed ID
DOI
ISSN
EISSN