Centre for Medical Biotechnology, Maharshi Dayanand University, Haryana, India.
Centre for Medical Biotechnology, Maharshi Dayanand University, Haryana, India.
Fertil Steril. 2020 Mar;113(3):661-669.e2. doi: 10.1016/j.fertnstert.2019.11.001.
To investigate the clinical diagnostic value and role of micro-RNAs (miRNAs) in the pathogenesis of polycystic ovary syndrome (PCOS).
Systematic review and meta-analysis.
Not applicable.
PATIENT(S): Patients were women of reproductive age with PCOS and controls.
INTERVENTION(S): Summary odds ratio was calculated using a random effects model.
MAIN OUTCOME MEASURE(S): Association of micro-RNAs with PCOS.
METHOD(S): An electronic literature search was conducted using PubMed, Scopus, and Google Scholar databases to identify all relevant studies up to May 2019. A random effects model was used to conduct a meta-analysis. Fold change and P values were used to pool effect size. A funnel plot was used to assess publication bias. Quality score was calculated using the QUADAS scale. Subgroup analysis was based on tissue type. Odds ratios, 95% confidence intervals, and P values were estimated using meta-analysis. Metaregression was performed for correlating covariates with effect size. Area under the curve and receiver operating characteristic analysis was done to assess diagnostic performance accuracy of miRNAs in PCOS.
RESULT(S): Twenty-one studies with a total of 79 miRNAs were included initially. Only three miRNAs (miR-29a-5p, miR-320, miR-93) are reported in more than three studies as of December 2018, so 12 studies were finally included in the quantitative analysis of meta-analysis and 21 studies were involved in the systematic review. The micro-RNAs miR-29a-5p and miR-320 were found to be significantly associated with PCOS. Funnel plot revealed an absence of publication bias for miR-29a-5p and miR-320. Receiver operating characteristic analysis with an area under the curve value of 0.95 proved miR-29a-5p to be the better diagnostic marker of PCOS.
CONCLUSION(S): Aberrant expression of various miRNAs plays an important role in PCOS pathogenesis. Micro-RNAs hold potential diagnostic value for PCOS. These findings may offer new insights for PCOS pathogenesis research.
CRD42018106198.
探讨微小 RNA(miRNAs)在多囊卵巢综合征(PCOS)发病机制中的临床诊断价值和作用。
系统评价和荟萃分析。
不适用。
患有 PCOS 的育龄期妇女和对照组患者。
使用随机效应模型计算汇总优势比。
miRNAs 与 PCOS 的相关性。
通过电子文献检索 PubMed、Scopus 和 Google Scholar 数据库,检索截至 2019 年 5 月所有相关研究。采用随机效应模型进行荟萃分析。使用 fold change 和 P 值来合并效应量。采用漏斗图评估发表偏倚。使用 QUADAS 量表计算质量评分。根据组织类型进行亚组分析。使用荟萃分析估计比值比、95%置信区间和 P 值。进行 metaregression 以分析协变量与效应量的相关性。采用曲线下面积和受试者工作特征分析评估 miRNAs 在 PCOS 中的诊断性能准确性。
最初共纳入 21 项研究,共计 79 个 miRNAs。截至 2018 年 12 月,仅有 3 个 miRNAs(miR-29a-5p、miR-320、miR-93)有超过 3 项研究报道,因此最终有 12 项研究纳入荟萃分析的定量分析,21 项研究纳入系统评价。miR-29a-5p 和 miR-320 与 PCOS 显著相关。漏斗图显示 miR-29a-5p 和 miR-320 不存在发表偏倚。受试者工作特征分析的曲线下面积值为 0.95,表明 miR-29a-5p 是诊断 PCOS 的更好标志物。
各种 miRNAs 的异常表达在 PCOS 发病机制中起重要作用。miRNAs 对 PCOS 具有潜在的诊断价值。这些发现可能为 PCOS 发病机制研究提供新的见解。
PROSPERO 注册号:CRD42018106198。