精子mirna的定性和定量评估确定hsa-miR-9-3p、hsa-miR-30b-5p和hsa-miR-122-5p是男性不育和精子质量的潜在生物标志物。

Meghali Joshi, Syed Waseem Andrabi, Ranjeet Kumar Yadav, Satya Narayan Sankhwar, Gopal Gupta, Singh Rajender
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引用次数: 10

摘要

背景:与生殖细胞的前几个阶段相比,与编码rna相比,精子异常丰富小的非编码rna。这些小rna可能在精子发生过程中起重要作用,也可能在受精后发育中起关键作用。零星的研究已经在不育个体中发现了一些差异表达的mirna,这在其他研究中没有重复。方法:为了鉴定不育或精子质量差的miRNA特征,我们比较了9个数据集的miRNA差异表达数据,然后在一项病例对照研究中使用实时PCR对其进行分析。随后在另一组病例和对照中验证了潜在的生物标志物。为此,从161个精子样本中分离出总RNA。采用TaqMan实时PCR技术检测不育组和可育对照组的miRNA表达水平。使用综合meta分析软件(版本2)对两个mirna (hsa-miR-9-3p和hsa-miR-122-5p)进行meta分析。所有统计分析均使用GraphPad Prism软件(版本8)进行。结果:文献检索鉴定出七个mirna (hsa- et-7a-5p, hsa-miR-9-3p, hsa-miR-22-5p, has-miR-30b-5p, hsa-miR-103-3p, hsa-miR-122-5p和hsa-miR-335-5p)在至少四项研究中显示出不孕不育的一致失调。在发现阶段,6种mirna显示出与不孕症的强烈关联,其中4种(hsa-miR-9-3p、hsa-miR-30b-5p、hsa-miR-103-3p和hsa-miR-122-5p)在所有亚组中表现出一致的差异调节。受试者工作特征(ROC)曲线分析显示,三种mirna (hsa-mir-9-3p、hsa-miR-30b-5p和hsa-miR-122-5p)的曲线下面积均> 0.75。在验证阶段,这三种miRNAs (hsa-mir-9-3p、hsa-miR-30b-5p和hsa-miR-122-5p)显示出与不孕症的一致关联。对hsa-miR-122-5p的meta分析显示其与不孕症有显著的定量关联[Hedge’s g = -2.428, p = 0.001(随机效应)]。结论:三种mirna (hsa-miR-9-3p, hsa-miR-30b-5p和hsa-miR-122-5p)与不孕症有很强的联系,并且作为精子质量生物标志物的潜力很大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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.

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.

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.

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.

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.

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