天津医药 ›› 2025, Vol. 53 ›› Issue (12): 1263-1270.doi: 10.11958/20252693

• 临床研究 • 上一篇    下一篇

RIF患者子宫内膜微生物组特征与后续移植结局的关联性分析

张梦洁(), 宁冰雪, 苏楠, 腊晓琳()   

  1. 新疆医科大学第一附属医院生殖医学中心(邮编830011)
  • 收稿日期:2025-08-13 修回日期:2025-09-28 出版日期:2025-12-15 发布日期:2025-12-08
  • 通讯作者: E-mail:909232905@qq.com
  • 作者简介:张梦洁(1994),女,医师,主要从事生殖医学相关研究。E-mail:639268716@qq.com
  • 基金资助:
    中央引导地方科技发展专项基金项目(ZYYD2024ZY07)

Association analysis of endometrial microbiome characteristics in RIF patients with subsequent transplantation outcomes

ZHANG Mengjie(), NING Bingxue, SU Nan, LA Xiaolin()   

  1. Reproductive Medicine Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
  • Received:2025-08-13 Revised:2025-09-28 Published:2025-12-15 Online:2025-12-08
  • Contact: E-mail:909232905@qq.com

摘要:

目的 探究反复种植失败(RIF)患者子宫内膜微生物组特征与后续移植结局的相关性。方法 回顾性选取再次接受胚胎移植的438例RIF患者,根据胚胎移植后8周的妊娠情况将患者分为妊娠组(n=85)与未妊娠组(n=353),比较2组临床资料与子宫内膜微生物组特征以及组成情况;二分类Logistic回归分析影响因素并采用受试者工作特征(ROC)曲线预测影响因素效能;进一步分析上述危险因素与Shannon指数在RIF患者后续移植结局中的交互作用。结果 未妊娠组患者基础雌二醇(E2)、空腹胰岛素(Fins)、总胆固醇(TC)、三酰甘油(TG)水平高于妊娠组(均P<0.05);2组梭杆菌门丰度、芽孢杆菌属丰度及Alpha多样性(Chao1、Shannon、Simpson)指数差异均有统计学意义(均P<0.05);二分类Logistic回归分析显示,梭杆菌门丰度升高(OR=1.628,95%CI:1.416~1.841)、芽孢杆菌属丰度降低(OR=0.725,95%CI:0.557~0.934)、E2升高(OR=1.654,95%CI:1.343~1.965)、Fins升高(OR=1.691,95%CI:1.393~1.980)和Shannon指数降低(OR=0.388,95%CI:0.075~0.697)是后续移植失败的独立危险因素。ROC曲线分析显示,Shannon指数的曲线下面积为0.836(95%CI:0.782~0.890),预测效能最高;亚组梭杆菌门、芽孢杆菌属、E2、Fins在Shannon指数对RIF患者后续移植结局中存在显著交互作用。结论 RIF患者后续移植失败的独立危险因素可作为预测RIF患者后续移植结局的敏感指标,且Shannon指数临床预测价值更高。

关键词: 子宫内膜, 微生物群, 胚胎移植, 妊娠结局, 反复种植失败

Abstract:

Objective To explore the correlation between the characteristics of the endometrial microbiome in patients with recurrent implantation failure (RIF) and the subsequent transplantation outcomes. Methods A total of 438 RIF patients underwent embryo transfer again in our hospital were retrospective selection. According to the pregnancy status of the patients 8 weeks after embryo transfer, patients were divided into the pregnancy group (n=85) and the non-pregnancy group (n=353). The clinical data, characteristics and composition diversity of the endometrial microbiome were compared between the two groups. Binary Logistic regression was used to analyze the influencing factors, and the receiver operating characteristic (ROC) was employed to predict the efficacy of the influencing factors. The interaction between the above-mentioned risk factors and Shannon index in the subsequent transplantation outcomes of RIF patients was further analyzed. Results The levels of basal estradiol (E2), fasting insulin (Fins), total cholesterol (TC) and triglycerides (TG) were significantly higher in the non-pregnant group than those in the pregnant group (P<0.05). Meanwhile, there were significant differences in the composition of endometrial microorganisms between the two groups (P<0.05). Among them, the abundance of Fusobacterium phylum, the abundance of Bacillus genus and the α -diversity (Chao1, Shannon, Simpson) index all showed significant differences (all P<0.05). Binary Logistic regression multivariate analysis showed that the abundance of Fusobacterium phylum increased (OR=1.628, 95%CI: 1.416-1.841), the abundance of Bacillus genus decreased (OR=0.725, 95%CI: 0.557-0.934) and E2 increased (OR=1.654, 95%CI: 1.343-1.965). The elevated insulin (OR=1.691, 95%CI: 1.393-1.980) and decreased Shannon index (OR=0.388, 95%CI: 0.075-0.697) were independent risk factors for failure after subsequent transplantation. ROC curve analysis showed that the area under the curve (AUC) of the Shannon index was 0.836 (95%CI: 0.782-0.890), with the highest predictive efficacy. There was significant interaction among the subgroups of Fusobacteria, Bacillus genus, E2 and insulin in Shannon index on the subsequent transplantation outcomes of patients with RIF. Conclusion The independent risk factors for subsequent transplantation failure in RIF patients can be used as sensitive indicators to predict the subsequent transplantation outcomes of RIF patients, and Shannon index has a higher clinical predictive value.

Key words: endometrium, microbiota, embryo transfer, pregnancy outcome, recurrent implantation failure

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