Scholarlink

Background <p>Endometrial receptivity (ER) serves as a critical determinant for successful embryo implantation, yet its molecular complexity and limited clinical assessment methods pose significant challenges. Despite advancements in assisted reproductive technology (ART), recurrent implantation failure (RIF) linked to ER abnormalities persists, creating a need for precise, non-invasive diagnostics.</p> Main body <p>This review outlines ER research, from the biology of the window of implantation (WOI) to the roles of immune components and the microbiome in shaping the receptive microenvironment. Multi-omics integration reveals regulatory networks across transcriptomic, epigenomic, proteomic, and metabolomic levels, with uterine fluid biomarkers emerging as promising non-invasive candidates. The analysis further covers how chronic endometritis (CE), adenomyosis, and polycystic ovary syndrome (PCOS) impair ER: through mechanisms including inflammatory imbalance, microbial dysbiosis, abnormal extracellular matrix remodeling, and hormonal dysregulation. Commercial ER tests face limitations, including insufficient evidence and inconsistent results, which undermine their clinical reliability.</p> Conclusions <p>A significant translational gap remains between biomarker discovery and clinical application. Current challenges involve technical standardization and data integration, and poor model generalizability. Future progress requires combining multi-omics with artificial intelligence (AI) to establish standardized clinical pathways, advancing ER assessment into precision medicine, and improving global infertility management.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Multi-omics biomarkers in endometrial receptivity: from mechanisms to clinical translation

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月3日

查看全文
  • Xingtong Chen,
  • Penghui Feng,
  • Jinming Zhang,
  • Jiaming Wu,
  • Zhuolin Xie,
  • Jingbo Huang,
  • Xuanjin Yang,
  • Falin He,
  • Rong Chen

摘要

Background

Endometrial receptivity (ER) serves as a critical determinant for successful embryo implantation, yet its molecular complexity and limited clinical assessment methods pose significant challenges. Despite advancements in assisted reproductive technology (ART), recurrent implantation failure (RIF) linked to ER abnormalities persists, creating a need for precise, non-invasive diagnostics.

Main body

This review outlines ER research, from the biology of the window of implantation (WOI) to the roles of immune components and the microbiome in shaping the receptive microenvironment. Multi-omics integration reveals regulatory networks across transcriptomic, epigenomic, proteomic, and metabolomic levels, with uterine fluid biomarkers emerging as promising non-invasive candidates. The analysis further covers how chronic endometritis (CE), adenomyosis, and polycystic ovary syndrome (PCOS) impair ER: through mechanisms including inflammatory imbalance, microbial dysbiosis, abnormal extracellular matrix remodeling, and hormonal dysregulation. Commercial ER tests face limitations, including insufficient evidence and inconsistent results, which undermine their clinical reliability.

Conclusions

A significant translational gap remains between biomarker discovery and clinical application. Current challenges involve technical standardization and data integration, and poor model generalizability. Future progress requires combining multi-omics with artificial intelligence (AI) to establish standardized clinical pathways, advancing ER assessment into precision medicine, and improving global infertility management.