山西大学环境与资源学院,环境与健康研究中心,山西省煤炭基新兴污染物识别与风险控制重点实验室,太原 030006
国家自然科学基金(22476120,22522607)资助项目。
Shanxi Key Laboratory of Coal-based Emerging Pollutant Identification and Risk Control, Research Center of Environment and Health, College of Environment and Resource, Shanxi University, Taiyuan 030006, China
This work was supported by grants from The National Natural Science Foundation of China (22476120, 22522607).
子宫内膜容受性的建立是胚胎成功着床与早期妊娠的关键条件。然而,目前评估接受度的临床方法尚未得到充分验证,其可靠性尚不足以精准指导个体化医疗。尽管微流控器官芯片模型已成为具有前景的体外平台并获得学术界广泛关注,但其临床实际转化因准确复制患者特定微环境的挑战以及缺乏标准化的定量评估系统而受阻。近期,Lee等在Nature Communications发表了一项开创性研究,通过将患者来源的血管化子宫内膜芯片(EoC)与新研发的子宫内膜容受性评分系统(ERS2)相结合,有效解决了这些关键局限。本评论对该研究中的关键发现进行了全面剖析,系统审视了EoC-ERS2平台的设计构建、动态模拟验证及其临床转化潜力。这一创新方法成功将传统上对子宫内膜容受性的主观评估转化为数字化、客观且定量的评价框架。因此,它为向个性化不孕症管理和生殖健康精准医疗的范式转变奠定了坚实基础。
The establishment of endometrial receptivity is a critical prerequisite for successful embryo implantation and early pregnancy. However, current clinical methods for assessing receptivity are insufficiently validated, and their reliability is inadequate for guiding precision medicine. Although microfluidic organ-on-a-chip models have emerged as promising in vitro platforms garnering significant academic interest, their practical clinical translation has been hindered by challenges in accurately replicating patient-specific microenvironments and the lack of standardized quantitative evaluation systems. Recently, Lee et al. published a groundbreaking study in Nature Communications, which effectively addresses these critical limitations by integrating a patient-derived vascularized endometrium-on-a-chip (EoC) with a newly developed endometrial receptivity scoring system (ERS2). This commentary offers a comprehensive analysis of the key findings from this work, systematically examining the design, construction, dynamic simulation validation, and translational potential of the EoC-ERS2 platform. This innovative approach successfully transforms conventional subjective assessments of endometrial receptivity into a digitized, objective, and quantitative evaluation framework. As a result, it establishes a robust foundation for a paradigm shift toward personalized infertility management and precision medicine in reproductive health.
梁晓敏,岳慧峰.子宫内膜容受性的精准评估:微工程化子宫内膜芯片模型联合子宫内膜容受性评分系统[J].生物化学与生物物理进展,2026,53(8):2235-2241 LIANG Xiao-Min, YUE Hui-Feng. Precise Assessment of Endometrial Receptivity: Microengineered Endometrial Chip Model Combined With The Endometrial Receptivity Scoring System[J]. Progress in Biochemistry and Biophysics,2026,53(8):2235-2241
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