Identification and verification of diagnostic biomarkers for deep infiltrating endometriosis based on machine learning algorithms.
This study addresses the challenges in the early diagnosis of deep infiltrating endometriosis (DIE) by exploring the potential role of the deubiquitinating enzyme USP14. By analyzing the GSE141549 dataset from …
Morphology of mitochondrial network in disseminated endometriosis cells in spontaneous pneumothorax diagnostic process.
Circulating endometrial cells (CECs) have emerged as a new biomarker of advanced disease in women with endometriosis. The identification of several subtypes of CECs (e.g., stem cell-like, epithelial, glandular, stromal) …
[Psychoemotional state and sexual function in women with chronic pelvic pain in genital endometriosis].
The purpose of this review is to consider current ideas about psychophysiology of chronic pelvic pain (CPP) in external genital endometriosis (GE), as well as the impact of the psychoemotional …
Multi-locus high-risk alleles association from interleukin's genes with female infertility and certain comorbidities.
Objective There is evidence that cytokine genes' single nucleotide polymorphisms could be the reasons behind female infertility. This study aimed to identify the role for Interleukin33 rs1048274 (G > A) …
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 …
Identification of key genes associated with endometriosis and endometrial cancer by bioinformatics analysis.
Endometriosis (EMS) is acknowledged as a risk factor for the development of endometrial cancer (EC), although the precise molecular mechanisms that underpin this association have yet to be fully elucidated. …
Risk factors for bladder injuries during cesarean sections: insights from a 15 year experience at a tertiary care center and a systematic review with meta-analysis.
To identify potential risk factors for bladder injury during cesarean section (CS).