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Exploring Microbial Signatures in Endometrial Tissues with Endometriosis.

The endometrial microbiota exerts a crucial role in maintaining the health of the female reproductive system. As such, in this study, we have examined the composition of the microbiota in …

Published: Jan. 23, 2025, midnight
The Current Applications of Metabolomics in Understanding Endometriosis: A Systematic Review.

Endometriosis is a common gynecological disease that affects approximately 10-15% of reproductive-aged women worldwide. This debilitating disease has a negative impact on the quality of life of those affected. Despite …

Published: Jan. 14, 2025, midnight
Quantification of Free Circulating DNA and Differential Methylation Profiling of Selected Genes as Novel Non-Invasive Biomarkers for Endometriosis Diagnosis.

Endometriosis is a chronic, estrogen-dependent disorder associated with the presence of endometrial cells mainly in the pelvic cavity, causing systemic immune inflammation, infertility, epigenetic dysregulation of differential DNA methylation, coelomic …

Published: Jan. 6, 2025, midnight
Identification of common diagnostic genes and molecular pathways in endometriosis and systemic lupus erythematosus by machine learning approach and in vitro experiment.

Growing research suggests that endometriosis and systemic lupus erythematosus (SLE) are both chronic inflammatory diseases and closely related, but no studies have explored their common molecular characteristics and underlying mechanisms. …

Published: Jan. 1, 2025, midnight
Surface Molecular Markers for the Isolation of Viable Fibroblast Subpopulations in the Female Reproductive Tract: A Comprehensive Review.

Advancements in single-cell analyzis technologies, particularly single-cell RNA sequencing (scRNA-seq) and Fluorescence-Activated Cell Sorting (FACS), have enabled the analyzis of cellular diversity by providing resolutions that were not available previously. …

Published: Dec. 30, 2024, midnight
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer | Scientific Reports - Nature.com

A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer | Scientific Reports Nature.com

Published: Dec. 28, 2024, 2:37 a.m.
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer - Nature.com

A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer Nature.com

Published: Dec. 28, 2024, 2:37 a.m.
M2 Macrophages are Major Mediators of Germline Risk of Endometriosis and Explain Pleiotropy with Comorbid Traits.

Endometriosis is a common gynecologic condition that causes chronic life-altering symptoms including pain, infertility, and elevated cancer risk. There is an urgent need for new non-hormonal targeted therapeutics to treat …

Published: Nov. 22, 2024, midnight
A Comprehensive Review of Advanced Diagnostic Techniques for Endometriosis: New Approaches to Improving Women's Well-Being.

According to the World Health Organization (WHO), endometriosis affects roughly 10% (190 million) of reproductive-age women and girls in the world (2023). The diagnostic challenge in endometriosis lies in the …

Published: Nov. 14, 2024, midnight
Identification of a disulfidptosis-related genes signature for diagnostic and immune infiltration characteristics in endometriosis | Scientific Reports - Nature.com

Identification of a disulfidptosis-related genes signature for diagnostic and immune infiltration characteristics in endometriosis | Scientific Reports Nature.com

Published: Oct. 29, 2024, 9:31 a.m.
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