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多囊卵巢综合征患者与 BMI 相匹配的健康对照者的 miRNA 表达。

microRNA Expression in Women With and Without Polycystic Ovarian Syndrome Matched for Body Mass Index.

机构信息

Diabetes Research Center (DRC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.

Division of Research, Weill Cornell Medical College-Qatar, Qatar Foundation, Education City, Doha, Qatar.

出版信息

Front Endocrinol (Lausanne). 2020 Apr 28;11:206. doi: 10.3389/fendo.2020.00206. eCollection 2020.

Abstract

Despite several authors who have hypothesized that alterations of small noncoding RNAs (miR) are implicated in the etiopathogenesis of polycystic ovarian syndrome (PCOS), contrasting findings have been reported so far. Discrepancies in body mass index (BMI) levels may account for these differences; therefore, the aim of the present study was to determine whether miR differed in serum samples collected from age- and BMI-matched control and PCOS women. In a cross-sectional study, miR were measured using quantitative polymerase chain reaction in 29 women with anovulatory PCOS women and 29 control women who were in the follicular phase of their menstrual cycle, from the local biobank. One hundred seventy-six miR were detected, of which 15 miR passed the false discovery rate (FDR; < 0.05) that differed between PCOS and control women. There was no association of the top 9 miR ( < 0.02) (miR-486-5p, miR-24-3p, miR-19b-3p, miR-22-3p, miR-19a-3p, miR-339-5p, miR-185-5p, miR-101-3p, miR-let-7i-5p) with BMI, androgen levels, insulin resistance, or antimullerian hormone (AMH) in either PCOS or normal women. Ingenuity pathway assessment showed the pathways were interrelated for abnormalities of the reproductive system. When the confounding influence of weight was accounted for, miR levels differed between anovulatory PCOS women and control women in the follicular phase of the menstrual cycle. Interestingly, the differing miR were associated with the pathways of reproductive abnormalities but did not associate with AMH or metabolic parameters.

摘要

尽管有几位作者假设微小非编码 RNA(miR)的改变与多囊卵巢综合征(PCOS)的发病机制有关,但迄今为止,已有相反的发现。体重指数(BMI)水平的差异可能是造成这些差异的原因;因此,本研究的目的是确定年龄和 BMI 匹配的对照组和 PCOS 女性血清样本中的 miR 是否存在差异。在一项横断面研究中,从当地生物库中采集了 29 名排卵障碍性 PCOS 女性和 29 名处于卵泡期的对照组女性的血清样本,使用实时定量聚合酶链反应(qPCR)检测 miR。共检测到 176 个 miR,其中有 15 个 miR 通过了错误发现率(FDR; < 0.05),在 PCOS 女性和对照组女性之间存在差异。前 9 个 miR( < 0.02)(miR-486-5p、miR-24-3p、miR-19b-3p、miR-22-3p、miR-19a-3p、miR-339-5p、miR-185-5p、miR-101-3p、miR-let-7i-5p)与 BMI、雄激素水平、胰岛素抵抗或抗苗勒氏管激素(AMH)在 PCOS 或正常女性中均无相关性。IPA 通路分析显示,这些通路之间存在生殖系统异常的相关性。当考虑到体重的混杂影响时,在月经周期的卵泡期,排卵障碍性 PCOS 女性和对照组女性的 miR 水平存在差异。有趣的是,不同的 miR 与生殖异常的通路相关,但与 AMH 或代谢参数无关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d315/7199502/d85d6be28fa5/fendo-11-00206-g0001.jpg

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