biostudies-literatureUnknown13(9)Wu JNovel biomarkers are needed to accelerate the diagnosis and treatment of endometriosis. We performed RNA sequencing to explore the expression profiles of exosomal circular RNAs (circRNAs), microRNAs (miRNAs) and mRNAs in patients with ovarian endometriomas, eutopic endometria and normal endometria. Differentially expressed genes between the different pairs of groups were analyzed and functionally annotated. Then, miRNA-target RNA pairs were identified, competing endogenous RNA (ceRNA) scores were calculated, gene expression characteristics were determined, and these parameters were used to construct an exosomal ceRNA network. We identified 36 candidate hub genes with high degrees of gene connectivity. We also topologically analyzed the ceRNA network to obtain a hub ceRNA network of circRNAAging12607-12630https://www.ebi.ac.uk/biostudies/studies/S-EPMC8148458biostudies-literatureConstruction and topological analysis of an endometriosis-related exosomal circRNA-miRNA-mRNA regulatory network.PMC8148458Wu JFang XXia XHuang WHuang HWang LfalseConstruction and topological analysis of an endometriosis-related exosomal circRNA-miRNA-mRNA regulatory network.Novel biomarkers are needed to accelerate the diagnosis and treatment of endometriosis. We performed RNA sequencing to explore the expression profiles of exosomal circular RNAs (circRNAs), microRNAs (miRNAs) and mRNAs in patients with ovarian endometriomas, eutopic endometria and normal endometria. Differentially expressed genes between the different pairs of groups were analyzed and functionally annotated. Then, miRNA-target RNA pairs were identified, competing endogenous RNA (ceRNA) scores were calculated, gene expression characteristics were determined, and these parameters were used to construct an exosomal ceRNA network. We identified 36 candidate hub genes with high degrees of gene connectivity. We also topologically analyzed the ceRNA network to obtain a hub ceRNA network of circRNA2021-01-01T00:00:00Z2021 Apr2025-04-18T16:06:31.387Z2025-04-07T03:08:22.853ZS-EPMC81484583390101210.18632/aging.202937