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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
A bioinformatics analysis of gene expression in endometrial cancer, endometriosis and obesity.

Endometrial cancer (EC), endometriosis (ENDO), and obesity (OBY) are interconnected conditions in women that may share underlying genetic pathways. This study aimed to identify shared genetic pathways and differential gene …

Published: Dec. 9, 2024, midnight
Identification of a disulfidptosis-related genes signature for diagnostic and immune infiltration characteristics in endometriosis.

Endometriosis (EMs) is the prevalent gynecological disease with the typical features of intricate pathogenesis and immune-related factors. Currently, there is no effective therapeutic intervention for EMs. Disulfidptosis, the cell death …

Published: Oct. 29, 2024, midnight
A positive ReceptivaDx result for BCL6 does not correlate with abnormal ERA results or decreased expression of receptivity-associated markers: two sides of the endometrial receptivity coin in fertility evaluation and treatment.

To investigate if a positive result on ReceptivaDx for evaluation of B-cell lymphoma 6 (BCL6), a proposed marker of progesterone resistance associated with impaired uterine receptivity, correlates with a suboptimal …

Published: Oct. 15, 2024, midnight
Machine learning-based integrated identification of predictive combined diagnostic biomarkers for endometriosis.

Background: Endometriosis (EM) is a common gynecological condition in women of reproductive age, with diverse causes and a not yet fully understood pathogenesis. Traditional diagnostics rely on single diagnostic biomarkers …

Published: Nov. 27, 2023, midnight
Identification and Exploration of Novel Macrophage M2-Related Biomarkers and Potential Therapeutic Agents in Endometriosis.

Endometriosis (EM) is a chronic neuroinflammatory disorder that is associated with pain and infertility that affects ∼10% of reproductive-age women. The pathophysiology and etiology of EM remain poorly understood, and …

Published: July 6, 2021, midnight
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