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Identified endoplasmic reticulum stress-related molecular cluster and immune characterization in endometriosis.

Endometriosis is a common disease among women of childbearing age, and endoplasmic reticulum stress (ERS), a response involved in regulating protein homeostasis, has been linked to its pathogenesis. To identify …

Published: Nov. 4, 2025, midnight
Integrated Bioinformatics and Experimental Analysis Revealed Crosstalk Between IL-6, Autophagy, Ubiquitination, and Key miRNAs in Female Infertility: Insights from Ovarian Endometriosis and Polycystic Ovary Syndrome.

Female infertility, affecting millions worldwide, involves complex molecular mechanisms such as chronic inflammation, impaired cellular death, and protein regulation. This study explores how the cytokine IL-6, the autophagy marker LC3, …

Published: Oct. 28, 2025, midnight
Integrated bioinformatics analysis and machine learning identifies FZD4, SRPX2, and COL8A1 as angiogenesis hub genes in endometriosis.

This study aims to identify angiogenesis-associated genes (AAGs) in endometriosis (EM) by integrating bioinformatics analysis with machine learning, and to investigate their underlying mechanisms. Differentially expressed genes (DEGs) were screened …

Published: Oct. 26, 2025, midnight
Using systems biology and drug repositioning approaches to discover FDA-approved drugs candidates for endometriosis treatment.

Endometriosis is characterized by the presence of endometrial tissue outside the uterine cavity. The administration of drugs designated for this condition has significant adverse effects, such as signs of estrogen …

Published: Sept. 12, 2025, midnight
Identification of key genes associated with infertile endometriosis based on bioinformatic analysis.

Endometriosis is a common disease among women of childbearing age. However, the molecular mechanism behind it is still unknown. Therefore, new biomarkers and therapeutic targets are needed to improve the …

Published: July 23, 2025, midnight
Identification of biomarkers for endometriosis based on summary-data-based Mendelian randomization and machine learning.

Endometriosis (EM) significantly impacts the quality of life, and its diagnosis currently relies on surgery, which carries risks and may miss early lesions. Noninvasive biomarkers are urgently needed for early …

Published: April 8, 2025, midnight
A new perspective on endometriosis: Integrating eQTL mendelian randomization with transcriptomics and single-cell data analyses.

Endometriosis is caused by the migration of endometrial cells to locations outside the uterine lining. Despite the increasing prevalence of endometriosis, there has been limited research on genetic effects, and …

Published: March 26, 2025, midnight
Identification of FZD7 as a potential ferroptosis-related diagnostic gene in endometriosis by bioinformatics analysis.

An increasing number of research have suggested that ferroptosis plays an important role in endometriosis (EMS). This study was to identify a ferroptosis-related diagnosis gene in EMS by using bioinformatics. …

Published: Feb. 28, 2025, midnight
A transcriptomic analysis of the interplay of ferroptosis and immune filtration in endometriosis and identification of novel therapeutic targets.

Endometriosis is an inflammatory disease, involving immune cell infiltration and production of inflammatory mediators. Ferroptosis has recently been recognized as a mode of controlled cell death and the iron overload …

Published: Jan. 7, 2025, midnight
N6-methyladenosine methylation regulators can serve as potential biomarkers for endometriosis related infertility.

Endometriosis (EMS) is a chronic inflammatory disease frequently associated with infertility. N6-methyladenosine (m6A) methylation, the most common form of methylation in eukaryotic mRNAs, has gained attention in the study of …

Published: Dec. 25, 2024, midnight
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