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相关概念视频

Introduction to the Human Microbiota01:22

Introduction to the Human Microbiota

Microorganisms colonize various regions of the human body, including the mouth, nasal passages, throat, stomach, intestines, urogenital tract, and skin. The total number of microbial cells is estimated to range from 10¹³ to 10¹⁴—comparable to, or exceeding, the number of human somatic cells. This host–microbiome relationship has led to the conceptualization of humans as supraorganisms, wherein microbial communities perform vital roles in development, immunity, and disease...
Microbiota of the Urogenital Tract01:28

Microbiota of the Urogenital Tract

The human urogenital system, once thought to be sterile in healthy individuals, is now recognized as a complex microbial habitat. Advancements in molecular sequencing techniques have revealed that even in healthy adults, the kidneys and bladder harbor microbial populations similar to those found in the distal urethra, albeit in much lower abundance. These resident microorganisms, while generally innocuous, can become opportunistic pathogens under conditions that alter the urogenital...

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相关实验视频

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Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres
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探索单个和多个子宫内膜息肉之间的宫和阴道微生物组差异:对非侵入性分类的影响.

Tianshu Sun1, Qingyue Zheng2, Roujie Huang2

  • 1Clinical Biobank, Center for Biomedical Technology, National Science and Technology Key Infrastructure on Translational Medicine, Institute of Clinical Medicine, State Key Laboratory of Common Mechanism Research for Major Diseases, State Key Laboratory of Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

mSystems
|September 15, 2025
PubMed
概括
此摘要是机器生成的。

这项研究揭示了单个和多个子宫内膜聚合体 (EP) 中不同的宫性阴道微生物组概况. 这些通过元基因组测序识别的微生物差异可以作为非侵入性EP分类的生物标志物.

关键词:
生物标志物生物标志物宫内膜的多重体是什么大基因组测序的测序.随机森林模型随机森林模型生殖系统的微生物群.

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科学领域:

  • 生殖医学 生殖医学
  • 微生物组研究 微生物组研究
  • 妇科瘤学 妇科瘤学

背景情况:

  • 子宫内膜聚合体 (EP) 是一种常见的妇科疾病,复发率各不相同.
  • 区分单个和多个EP对于治疗决策至关重要,但目前的方法如腹腔镜是侵入性的.
  • 需要非侵入性诊断方法来准确地分类手术前的EP亚型.

研究的目的:

  • 描述和比较单个与多个子宫内膜聚合体 (EPs) 的患者的生殖道微生物组.
  • 确定潜在的微生物生物标志物,用于单个和多个EP的非侵入性分化.
  • 开发EP亚型分类的预测模型.

主要方法:

  • 基因组测序是在27名单次EP患者和22名多次EP患者的阴道和宫样本上进行的.
  • 分析了社区状态类型 (CST) 和特定的细菌物种,并在各组之间进行了比较.
  • 使用随机森林模型识别了关键的微生物群和临床参数,以区分EP亚型.

主要成果:

  • 与对照组和多个EP病例相比,单个EP病例显示CST I和II的百分比较低.
  • 包括*Sneathia amnii*,*Mesorhizobium* sp.,*Acinetobacter baumannii*和*Pasteurella multocida*在内的特定细菌在单个和多个EP之间存在差异性丰富.
  • 一个随机森林模型在区分单个EP和多个EP时获得了0.861的AUC,突出了潜在的非侵入性生物标志物.

结论:

  • 宫阴道微生物组的组成在单个和多个子宫内膜聚合体之间有显著差异.
  • 已识别的微生物特征和途径为开发用于EP分类的非侵入性诊断工具提供了潜力.
  • 这些发现为基于非侵入性EP亚型的个性化治疗策略铺平了道路.