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评估不孕女性子宫内膜容受性的分子和生物学标志物:一项叙述性综述

Molecular and biological markers for assessing endometrial receptivity in infertile women: A narrative review.

作者信息

Li Junfeng, Liu Hange, Lim Justin, Xing Hang, Chen Yuan, Yang Shaozhe, Fu Xiuhong

机构信息

Henan Key Laboratory of Fertility Protection and Aristogenesis; Department of Reproductive Center, Luohe Central Hospital, China.

Department of Ultrasound, Luohe Central Hospital, China.

出版信息

J Int Med Res. 2025 Apr;53(4):3000605251328893. doi: 10.1177/03000605251328893. Epub 2025 Apr 29.

Abstract

Successful embryo implantation relies on embryo quality, endometrial receptivity, and the synchronized development of both. In recent years, methods for assessing endometrial receptivity have considerably advanced, shifting from traditional imaging techniques to modern molecular biology approaches. The evaluation of endometrial thickness, morphology, subendometrial blood flow, and peristalsis before implantation has become less prominent, whereas molecular markers such as pinopodes, integrin αvβ3, its ligand osteopontin, and homologous box gene A10 are widely used in clinical practice for assessing endometrial receptivity. To provide a comprehensive overview, this narrative review systematically searched PubMed and Web of Science for studies on endometrial receptivity assessment in infertile women over the past two decades, with a focus on both clinical and experimental research. This narrative review has examined recent advancements in morphological markers, endometrial receptivity-related genes, endometrial microbiota, and other emerging indicators, emphasizing their potential in optimizing embryo implantation and improving the success rates of assisted reproductive technologies. Notably, endometrial receptivity array testing and uterine microbiome analysis have gained substantial attention for their potential in personalized diagnosis and treatment. This review aims to provide scientific insights for precise infertility diagnostics and individualized treatment strategies while offering recommendations for future research development.

摘要

成功的胚胎着床依赖于胚胎质量、子宫内膜容受性以及两者的同步发育。近年来,评估子宫内膜容受性的方法有了显著进展,从传统的成像技术转向了现代分子生物学方法。着床前对子宫内膜厚度、形态、内膜下血流及蠕动的评估已不那么突出,而诸如胞饮突、整合素αvβ3及其配体骨桥蛋白、同源盒基因A10等分子标志物在临床实践中被广泛用于评估子宫内膜容受性。为提供全面概述,本叙述性综述系统检索了PubMed和Web of Science,以查找过去二十年中关于不育女性子宫内膜容受性评估的研究,重点关注临床和实验研究。本叙述性综述考察了形态学标志物、子宫内膜容受性相关基因、子宫内膜微生物群及其他新兴指标的最新进展,强调了它们在优化胚胎着床和提高辅助生殖技术成功率方面的潜力。值得注意的是,子宫内膜容受性阵列检测和子宫微生物群分析因其在个性化诊断和治疗方面的潜力而备受关注。本综述旨在为精确的不育诊断和个性化治疗策略提供科学见解,同时为未来的研究发展提供建议。

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本文引用的文献

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Deciphering the role of female reproductive tract microbiome in reproductive health: a review.
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6
The endometrial microbiota and early pregnancy loss.
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7
Using organoids to investigate human endometrial receptivity.
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