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基于微生物-代谢轴探究围绝经期女性子宫内膜息肉恶变危险因素的队列研究

A Cohort Study on Risk Factors for Malignant Transformation of Endometrial Polyps in Perimenopausal Women Based on the Microbiota-Metabolism Axis

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【作者】 张启欣; 尚教伟; 吴雅琴;

【Author】 ZHANG Qixin;SHANG Jiaowei;WU Yaqin;Department of Gynecology, Yangzhou Maternal and Child Health Hospital;

【机构】 扬州市妇幼保健院妇科;

【摘要】 目的:探讨围绝经期女性子宫内膜息肉(EPs)恶变的危险因素,分析微生物-代谢轴与恶变的关系,并构建风险预测模型。方法:前瞻性纳入2023年3月至2025年3月扬州市妇幼保健院收治的120例围绝经期EPs患者,采用16S r RNA测序及LC-MS代谢组学技术对宫腔内容物进行检测,并结合临床资料进行相关分析[根据病理结果分为EP组和子宫内膜癌(EC)组]。结果:与EP组相比,EC组患者年龄、息肉直径均较大,异常子宫出血率、糖尿病比例均更高(P<0.05)。EC组微生物多样性更低,乳酸杆菌属丰度更低,促炎菌属丰度更高(P<0.01)。EC组中前列腺素E2(PGE2)等代谢产物水平更高(P<0.01)。多因素分析显示,乳酸杆菌属丰度降低、异常子宫出血、PGE2水平升高是EPs恶变的独立危险因素(P<0.01)。结论:微生物失衡与代谢紊乱是EPs恶变的重要影响因素,基于微生物-代谢轴构建的预测模型可为其早期筛查提供参考依据。

【Abstract】 Objective: To investigate the risk factors for malignant transformation of endometrial polyps(EPs) in perimenopausal women, analyze the relationship between the microbiota-metabolism axis and malignant transformation, and construct a risk prediction model. Methods: Prospectively enrolled 120 perimenopausal EPs patients admitted to Yangzhou Maternal and Child Health Hospital from March 2023 to March 2025. Intrauterine contents were examined using 16S r RNA sequencing and LC-MS metabolomic techniques. Clinical data were combined for correlation analysis(patients were divided into an EP group and an EC group based on pathological results). Results: Compared with the EP group, patients in the EC group were older, had larger polyp diameters, and exhibited higher rates of abnormal uterine bleeding and a higher proportion of diabetes(P < 0.05). The EC group showed reduced microbial diversity, a significant decrease in Lactobacillus abundance, and an increase in pro-inflammatory bacterial genus abundance(P < 0.01). Metabolite levels such as PGE2 were significantly elevated in the EC group(P < 0.01). Multivariate analysis revealed that decreased Lactobacillus abundance, abnormal uterine bleeding, and elevated PGE2 were independent risk factors for malignant transformation of EPs(P < 0.01). Conclusion: Microbial imbalance and metabolic disorders are significant influencing factors in the malignant transformation of EPs. The prediction model constructed based on the microbiota-metabolism axis can provide a reference for early screening.

【基金】 扬州市科技计划项目(编号:YZ2023065)
  • 【文献出处】 延边大学医学学报 ,Journal of Medical Science Yanbian University , 编辑部邮箱 ,2026年01期
  • 【分类号】R711.74
  • 【下载频次】5
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