Fundación Instituto Valenciano de Infertilidad and Instituto Universitario IVI/INCLIVA (Investigación Clínico de Valencia), Valencia University, Valencia, Spain.
Fertil Steril. 2013 Mar 15;99(4):1078-85. doi: 10.1016/j.fertnstert.2012.12.005. Epub 2013 Jan 8.
This article highlights the need for methods to objectively diagnose endometrial receptivity as a factor contributing to infertility in female patients. The correct identification of the appropriate window of implantation in a given patient, by using endometrial receptivity biomarkers, can help to prevent reproductive failure resulting from misplaced timing of the endometrial window of implantation (WOI). Although to date no single, clinically relevant morphologic, molecular, or histologic marker capable of indicating endometrial receptivity status has been identified, global transcriptomic analysis of human endometria performed in the last decade has given us insights into a genomic signature that is capable of identifying endometrial receptivity. As a consequence, a genomic tool named the Endometrial Receptivity Array (ERA), based on a customized microarray, was developed, and along with it a specially trained bioinformatic prediction computer algorithm was created to identify WOI timing in the endometrium. This tool has proven more accurate and consistent than histologic (Noyes) dating at identifying the personalized WOI day, thus leading to the new clinical concept of personalized ET on the optimum day of endometrial receptivity, identified individually case by case.
本文强调了需要寻找客观的方法来诊断子宫内膜容受性，因为这是导致女性患者不孕的一个因素。通过使用子宫内膜容受性生物标志物来正确识别特定患者的适当着床窗口，可以帮助预防因着床窗口期（WOI）时机不当而导致的生殖失败。尽管迄今为止，还没有一种单一的、具有临床相关性的形态学、分子或组织学标志物能够表明子宫内膜容受性状态，但过去十年对人类子宫内膜的全基因组转录组分析使我们深入了解了一种能够识别子宫内膜容受性的基因组特征。因此，开发了一种基于定制微阵列的基因组工具，名为子宫内膜容受性阵列（ERA），并随之创建了一个经过专门训练的生物信息预测计算机算法，以识别子宫内膜中的 WOI 时间。该工具在识别个性化 WOI 日期方面比组织学（Noyes）日期更准确和一致，从而导致了新的临床概念，即在识别到的子宫内膜容受性最佳日个体化进行 ET。
