TY - JOUR T1 - Qualitative and quantitative assessment of sperm miRNAs identifies hsa-miR-9-3p, hsa-miR-30b-5p and hsa-miR-122-5p as potential biomarkers of male infertility and sperm quality. AU - Joshi,Meghali, AU - Andrabi,Syed Waseem, AU - Yadav,Ranjeet Kumar, AU - Sankhwar,Satya Narayan, AU - Gupta,Gopal, AU - Rajender,Singh, Y1 - 2022/08/15/ PY - 2021/11/29/received PY - 2022/08/03/accepted PY - 2022/8/15/entrez PY - 2022/8/16/pubmed PY - 2022/8/18/medline KW - Male infertility KW - Sperm miRNAs KW - Sperm quality biomarkers KW - Spermatogenesis KW - microRNA SP - 122 EP - 122 JF - Reproductive biology and endocrinology : RB&E JO - Reprod Biol Endocrinol VL - 20 IS - 1 N2 - BACKGROUND: In contrast with the preceding stages of the germ cells, spermatozoa are unusually rich in small non-coding RNAs in comparison to the coding RNAs. These small RNAs may have had an essential role in the process of spermatogenesis or may have critical roles in the post-fertilization development. Sporadic efforts have identified a few differentially expressed miRNAs in infertile individuals, which do not replicate in other studies. METHODS: In order to identify miRNAs signatures of infertility or poor sperm quality, we compared miRNA differential expression data across nine datasets, followed by their analysis by real-time PCR in a case-control study. This was followed by the validation of potential biomarkers in yet another set of cases and controls. For this, total RNA was isolated from 161 sperm samples. miRNA expression levels in infertile cases and fertile controls were measured using TaqMan real-time PCR. Meta-analyses of two miRNAs (hsa-miR-9-3p and hsa-miR-122-5p) were performed using Comprehensive Meta-Analysis Software (version 2). All statistical analyses were performed with the help of GraphPad Prism Software (version 8). RESULTS: Literature search identified seven miRNAs (hsa-let-7a-5p, hsa-miR-9-3p, hsa-miR-22-5p, has-miR-30b-5p, hsa-miR-103-3p, hsa-miR-122-5p and hsa-miR-335-5p) showing consistent dysregulation in infertility across a minimum of four studies. In the discovery phase, six miRNAs showed strong association with infertility with four (hsa-miR-9-3p, hsa-miR-30b-5p, hsa-miR-103-3p and hsa-miR-122-5p) showing consistent differential regulation across all sub-groups. Receiver operating characteristic (ROC) curve analysis showed that the area under curve of > 0.75 was achieved by three (hsa-mir-9-3p, hsa-miR-30b-5p and hsa-miR-122-5p) miRNAs. In the validation phase, these three miRNAs showed consistent association with infertility (hsa-mir-9-3p, hsa-miR-30b-5p, and hsa-miR-122-5p). Meta-analysis on hsa-miR-122-5p showed its significant quantitative association with infertility [Hedge's g = -2.428, p = 0.001 (Random effects)]. CONCLUSIONS: Three miRNAs (hsa-miR-9-3p, hsa-miR-30b-5p and hsa-miR-122-5p) have strong linkage with infertility and a high potential as sperm quality biomarkers. SN - 1477-7827 UR - https://www.unboundmedicine.com/medline/citation/35971175/Qualitative_and_quantitative_assessment_of_sperm_miRNAs_identifies_hsa_miR_9_3p_hsa_miR_30b_5p_and_hsa_miR_122_5p_as_potential_biomarkers_of_male_infertility_and_sperm_quality_ DB - PRIME DP - Unbound Medicine ER -