Suppr超能文献

人类子宫内膜容受性转录组特征研究进展的更新。

An update on the progress of transcriptomic profiles of human endometrial receptivity.

机构信息

Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.

出版信息

Biol Reprod. 2018 Apr 1;98(4):440-448. doi: 10.1093/biolre/ioy018.

Abstract

Despite advances in our understanding of fertility, implantation failure remains a significant problem for both spontaneous and assisted pregnancies. Most research efforts concerning the process of implantation are embryo-centric, with a dearth of studies on endometrial factors. Currently, there are no practical and effective diagnostic tools available to precisely predict endometrial receptivity. Transcriptomics, a field based on microarray technology, has a number of procedures for clinical applications, although the functional relevance of most identified genes remains unclear. Importantly, RNA sequencing will further improve the precision and broaden the clinical use of the transcriptome by detecting previously undiscovered genes, which could be used to further our understanding of endometrial receptivity. In this review, potential biomarkers based on endometrium gene expression profiles of human endometrial receptivity were described and compared in natural and stimulated cycles toward discovering future prospects for personalized medical approaches. The intent of this synthesis is to provide researchers, doctors, and clinicians in the field with a better understanding of endometrium receptivity, promote further study in the transcriptome in embryo implantation, and ultimately, improve pregnancy outcome.

摘要

尽管我们对生育能力的理解有所进步,但着床失败仍然是自然妊娠和辅助妊娠的一个重大问题。大多数关于着床过程的研究工作都以胚胎为中心,而对子宫内膜因素的研究却很少。目前,还没有实用有效的诊断工具可以精确预测子宫内膜容受性。转录组学是基于微阵列技术的一个领域,有许多用于临床应用的程序,尽管大多数已确定基因的功能相关性尚不清楚。重要的是,RNA 测序通过检测以前未发现的基因,将进一步提高转录组的精确性并拓宽其临床应用,这些基因可用于进一步了解子宫内膜容受性。在这篇综述中,描述了基于人类子宫内膜容受性的子宫内膜基因表达谱的潜在生物标志物,并对自然和刺激周期进行了比较,以期发现个性化医疗方法的未来前景。本综述的目的是为研究人员、医生和临床医生提供对子宫内膜容受性的更好理解,促进胚胎植入中转录组的进一步研究,并最终改善妊娠结局。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验