多囊卵巢综合征颗粒细胞中候选微小RNA的鉴定及潜在价值

Identification and potential value of candidate microRNAs in granulosa cells of polycystic ovary syndrome.

作者信息

Wang Yaoqin, Xu Suming, Wang Yonglian, Qi Gaimei, Hou Yan, Sun Chunqing, Wu Xueqing

机构信息

Center of Reproductive Medicine, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi 030013, China.

Shanxi Medical University, Taiyuan, Shanxi 030001, China.

出版信息

Technol Health Care. 2019;27(6):579-587. doi: 10.3233/THC-181510.

DOI:10.3233/THC-181510

PMID:30932905

Abstract

BACKGROUND

Polycystic Ovary Syndrome (PCOS) is a major cause of anovulatory infertility. Some studies showed that miRNAs were used as diagnostic/prognostic biomarkers for various diseases.

OBJECTIVE

To identify candidate miRNAs in Granulosa Cells (GCs) of PCOS and evaluate their potential values for PCOS diagnosis.

METHODS

We screened differentially expressed miRNAs in GCs between PCOS and controls by the microarray data from the GEO database. GCs were collected from 21 controls and 24 PCOS. The candidate miRNAs were verified by qRT-PCR. The correlation was investigated between candidate miRNAs and clinical characteristics in participants. Diagnostic value of candidate miRNAs was analyzed by receiver operating characteristic (ROC) curve.

RESULTS

Seven miRNAs were differentially expressed in PCOS compared with controls. Furthermore, the validation results demonstrated that hsa-miR-3188 and hsa-miR-3135b showed higher levels in GCs with PCOS patients (p< 0.05). In addition, the expressions of hsa-miR-3188 and hsa-miR-3135b were negative correlated with FSH and hsa-miR-3188 was positive correlated with BMI (p< 0.05). ROC analysis indicated that hsa-miR-3188 and hsa-miR-3135b could differentiate PCOS from controls, and the hsa-miR-3188/3135b improved the predictive accuracy for PCOS.

CONCLUSIONS

The expressions of hsa-miR-3188 and hsa-miR-3135b in human GCs were significantly associated with PCOS. Moreover, the hsa-miR-3188/3135b has certain diagnostic value for distinguishing PCOS.

摘要

背景

多囊卵巢综合征（PCOS）是无排卵性不孕的主要原因。一些研究表明，微小RNA（miRNA）可作为多种疾病的诊断/预后生物标志物。

目的

鉴定PCOS患者颗粒细胞（GCs）中的候选miRNA，并评估其对PCOS诊断的潜在价值。

方法

我们通过GEO数据库的微阵列数据筛选PCOS患者与对照者GCs中差异表达的miRNA。从21名对照者和24名PCOS患者中收集GCs。通过qRT-PCR验证候选miRNA。研究候选miRNA与参与者临床特征之间的相关性。通过受试者工作特征（ROC）曲线分析候选miRNA的诊断价值。

结果

与对照者相比，PCOS患者中有7种miRNA差异表达。此外，验证结果表明，hsa-miR-3188和hsa-miR-3135b在PCOS患者的GCs中表达水平较高（p<0.05）。此外，hsa-miR-3188和hsa-miR-3135b的表达与卵泡刺激素（FSH）呈负相关，hsa-miR-3188与体重指数（BMI）呈正相关（p<0.05）。ROC分析表明，hsa-miR-3188和hsa-miR-3135b可区分PCOS患者与对照者，且hsa-miR-3188/3135b提高了PCOS的预测准确性。