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Can hematological and biochemical parameters clinically predict the diagnosis of deep infiltrating endometriosis?

Integrating inflammatory biomarkers and demographic variables with machine learning to predict endometriosis risk.

This study explores the relationship between inflammatory biomarkers and the risk of endometriosis, aiming to develop a predictive model using National Health and Nutrition Examination Survey (1999-2006) data. The dataset …

Extracellular Trap-Related Genes as Potential Diagnostic Biomarkers for Endometriosis.

Endometriosis (EM), a prevalent gynecological disorder in reproductive-age women, lacks reliable noninvasive diagnostic tools. EM may be detected by neutrophil extracellular traps (NETs), which are essential to inflammation and immunological …

Systemic inflammation indices measured shortly before delivery are not associated with preterm birth in pregnant women with endometriosis.

Endometriosis is a chronic inflammatory condition, typically associated with pelvic pain and menorrhagia, affecting 10% of women of reproductive age. Inflammation is known to contribute to pregnancy complications, including preterm …

Reframing Endometriosis: Interplay of NETs, Macrophages, and Lymphocytes at the Crossroads of Disease Progression, Infertility, and Malignant Transformation.

Endometriosis (ENDO) is a painful, chronic gynecological disease widely affecting women globally. While traditionally classified as a hormonal disorder, ENDO is now increasingly recognized as a multifaceted immune-mediated syndrome driven …

Relationship Between Inflammation-Nutrition Composite Indices and Ovarian Endometrioma: A Retrospective Observational Study.

Endometriosis is a chronic inflammatory disease with impacts on reproduction, health and quality of life, yet its diagnosis is often delayed. Ovarian endometrioma (OMA) is the most common subtype of …

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 …

Systemic Immune and Tumor Marker Profiles in Ovarian and Deep Infiltrating Endometriosis: Associations with Disease Severity and Symptom Burden.

Endometriosis is a chronic, estrogen-dependent inflammatory disease with heterogeneous clinical manifestations and uncertain systemic immune involvement. This study aimed to characterize peripheral immune profiles and circulating tumor markers in women …

Interleukin 17A in the fibrotic-related processes in endometrosis in the mare.

Equine endometrosis is a chronic degenerative condition with fibrosis being one of the most significant characteristics. A growing body of evidence indicates the critical role of interleukin (IL)-17 in fibrotic …

Analysis of menstrual effluent uncovers endometriosis-specific cell populations and impaired cellular pathway processes.

Endometriosis is a chronic gynecological disease affecting 1 in 10 reproductive-aged women and is characterized by the ectopic presence of endometrial tissue outside the uterus. The leading hypothesis for disease …