国际妇产科学杂志 ›› 2026, Vol. 53 ›› Issue (2): 165-169.doi: 10.12280/gjfckx.20251189

• 产科生理及产科疾病: 综述 • 上一篇    下一篇

代谢组学评估反复着床失败妇女子宫内膜容受性的研究进展

刘欣, 许思娟()   

  1. 730000 兰州, 甘肃中医药大学第一临床医学院(刘欣); 甘肃省妇幼保健院(甘肃省中心医院)(许思娟)
  • 收稿日期:2025-10-22 出版日期:2026-04-15 发布日期:2026-05-08
  • 通讯作者: 许思娟 E-mail:603926550@qq.com
  • 基金资助:
    甘肃省科技计划项目(23YFFA0044)

Research Progress in Metabolomics for Assessing Endometrial Receptivity in Women with Repeated Implantation Failure

LIU Xin, XU Si-juan()   

  1. First Clinical Medical College of Gansu University of Chinese Medicine, Lanzhou 730000, China (LIU Xin); Gansu Provincial Maternity and Child-care Hospital (Gansu Provincial Central Hospital), Lanzhou 730000, China (XU Si-juan)
  • Received:2025-10-22 Published:2026-04-15 Online:2026-05-08
  • Contact: XU Si-juan E-mail:603926550@qq.com

摘要:

近年辅助生殖技术(assisted reproductive technology,ART)在临床应用中不断深化普及,但仍有部分患者出现反复着床失败(repeated implantation failure,RIF),其核心因素在于子宫内膜容受性异常。目前临床评估子宫内膜容受性的方法存在局限性,而代谢组学凭借能动态、系统地揭示种植窗期间内膜代谢网络变化的优势,为子宫内膜容受性评估提供了新视角。基于子宫内膜液、内膜组织、阴道微生物群以及外周血等不同生物样本的代谢组学研究,揭示了其在发现局部或系统性代谢标志物方面的价值与局限,指出氨基酸、脂质及能量代谢等关键通路的紊乱是RIF患者的普遍特征。综述应用代谢组学技术,通过分析子宫内膜液、内膜组织及外周血等不同来源样本,在RIF人群中筛选子宫内膜容受性相关代谢标志物的研究进展,以期为RIF的个体化诊疗策略提供参考。

关键词: 反复着床失败, 子宫内膜容受性, 代谢组学, 生物标记, 种植窗

Abstract:

In recent years, assisted reproductive technology (ART) has been increasingly applied in clinical practice. However, some patients still experience repeated implantation failure (RIF). A key underlying factor is impaired endometrial receptivity. Current clinical methods for assessing endometrial receptivity have limitations. Metabolomics, with its ability to dynamically and systematically reveal metabolic network changes in the endometrium during the implantation window, offers a new perspective for endometrial receptivity evaluation. Metabolomics studies based on different biological samples such as endometrial fluid, endometrial tissue, vaginal microbiota, and peripheral blood have demonstrated the value and limitations of identifying local or systemic metabolic biomarkers. These studies indicate that disturbances in key pathways, including amino acid, lipid, and energy metabolism, are common features in RIF patients. This review summarizes advances in the application of metabolomics techniques to screen for endometrial receptivity-related metabolic biomarkers in RIF populations by analyzing samples from different sources, such as endometrial fluid, endometrial tissue, and peripheral blood, aiming to provide references for individualized diagnosis and treatment strategies for RIF.

Key words: Repeated implantation failure, Endometrial receptivity, Metabolomics, Biomarkers, Implantation window