Endometriosis (EMs) is a chronic inflammatory disease characterized by ectopic endometrial growth. This study aimed to identify and analyze potential signatures of pyroptosis-related genes in EMs.
Endometriosis, a chronic gynecological disorder, significantly impacts fertility and quality of life. Identifying effective therapeutic targets is critical for their management.
Long non-coding RNA Urothelial carcinoma-associated 1 (UCA1) is a pivotal regulator in the progression of endometriosis (EMs), yet its mechanistic role remains elusive. This study identified UCA1 as a factor …
Background/Objectives: Endometrial B-cell lymphoma 6 (BCL6) overexpression has been proposed as a marker of progesterone resistance, occult endometriosis, and endometrial dysfunction in infertile women. Its possible association with reproductive outcomes …
Endometriosis affects an estimated 5-10% of women of reproductive age and presents with substantial clinical and biological heterogeneity. Recent clinical guidelines have shifted toward symptom-guided diagnosis supported by expert imaging, …
Endometriosis is a chronic condition associated with substantial healthcare costs, diagnostic delays and long-term impairment in quality of life. Despite the recognized economic burden, patient-reported financial distress remains insufficiently studied. …
Endometriosis is characterized by progressive fibrosis and limited therapeutic options. Cuproptosis, a copper-dependent form of regulated cell death, has been implicated in multiple pathological conditions, but its relevance to fibroblast-mediated …
Endometriosis (EMT) is characterized by a chronic inflammatory disorder in the female reproductive system, posing significant challenges to global women's health. Necrosis by Sodium Overload (NESCO) is a novel immunogenic …
A link exists between decorin (DCN) and endometriosis, nevertheless, the role of DCN in this condition remains unclear. This study aims to bioinformatically characterize DCN expression, diagnostic value, and related …
This study aims to develop and validate a Multi-Dimensional Computational Screening (MDCS) strategy to identify bioactive components by jointly considering target affinity, exposure potential, and safety, using Liangdi decoction (LDD) …