子宫内膜异位症
月经周期
仿形(计算机编程)
医学
妇科
内科学
计算机科学
激素
操作系统
作者
Ana Almonte-Loya,Wanxin Wang,Sahar Houshdaran,Xinyu Tang,Emily Flynn,Bi‐Cheng Liu,Divyashree Kushnoor,Camran Nezhat,Felipe Vilella,Carlos Simón,Kim Chi Vo,Amber Casillas,Umair Khan,Carlota Peredas,Tomiko Oskotsky,David Huang,Júlia Vallvé-Juanico,Juan C. Irwin,Alexis J. Combes,Marina Sirota
标识
DOI:10.1101/2025.07.21.666016
摘要
Abstract Endometriosis is a chronic, estrogen-dependent condition affecting over 190 million women globally, characterized by the ectopic presence of endometrial-like tissue that leads to inflammation, pain, and infertility. Despite its prevalence, the pathogenesis of endometriosis remains poorly understood. Here, we present a comprehensive single-cell transcriptomic atlas comprising 228,000 cells derived from 43 eutopic endometrial biopsies from patients with endometriosis, fibroid controls and healthy controls, sampled across the menstrual cycle. This analysis reveals previously uncharacterized subpopulations of endometrial fibroblasts and epithelial cells undergoing epithelial–mesenchymal transition, alongside disrupted immune cell communication networks. Comparative gene expression profiling implicates oxidative stress, aberrant cell migration, and dysregulated apoptosis as central features of the disease state. These findings suggest that endometriosis alters eutopic endometrial homeostasis, with potential consequences for fertility, regeneration, and disease progression. Our dataset provides a valuable resource for biomarker discovery and identifies candidate therapeutic targets aimed at restoring endometrial function and alleviating symptoms in affected individuals.
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