Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Stem Cell Biology Research Center, Yazd Reproductive Sciences Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
J Cell Mol Med. 2022 Feb;26(3):654-670. doi: 10.1111/jcmm.17139. Epub 2022 Jan 6.
Polycystic ovary syndrome (PCOS) is known as the most common metabolic/endocrine disorder among women of reproductive age. Its complicated causality assessment and diagnostic emphasized the role of non-coding regulatory RNAs as molecular biomarkers in studying, diagnosing and even as therapeutics of PCOS. This review discusses a comparative summary of research into microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) that are molecularly or statistically related to PCOS. We categorize the literature in terms of centering on either miRNAs or lncRNAs and discuss the combinatory studies and promising ideas as well. Additionally, we compare the pros and cons of the prominent research methodologies used for each of the abovementioned research themes and discuss how errors can be stopped from propagation by selecting correct methodologies for future research. Finally, it can be concluded that research into miRNAs and lncRNAs has the potential for identifying functional networks of regulation with multiple mRNAs (and hence, functional proteins). This new understanding may eventually afford clinicians to control the molecular course of the pathogenesis better. With further research, RNA (with statistical significance and present in the blood) may be used as biomarkers for the disease, and more possibilities for RNA therapy agents can be identified.
多囊卵巢综合征(PCOS)是生育年龄妇女中最常见的代谢/内分泌紊乱疾病。其复杂的因果关系评估和诊断强调了非编码调节 RNA 作为分子生物标志物在 PCOS 的研究、诊断甚至治疗中的作用。本文综述了与 PCOS 相关的分子或统计学上的 microRNAs(miRNAs)和长非编码 RNAs(lncRNAs)的研究进展。我们根据以 miRNAs 或 lncRNAs 为中心的文献进行分类,并讨论了组合研究和有前途的思路。此外,我们还比较了上述每个研究主题中使用的主要研究方法的优缺点,并讨论了如何通过为未来的研究选择正确的方法来阻止错误的传播。最后,可以得出结论,miRNAs 和 lncRNAs 的研究有可能识别具有多个 mRNAs(因此,功能蛋白)的调节功能网络。这种新的认识最终可能使临床医生更好地控制发病机制的分子过程。随着进一步的研究,RNA(具有统计学意义且存在于血液中)可能被用作疾病的生物标志物,并可以确定更多的 RNA 治疗剂的可能性。