Integrating inflammatory biomarkers and demographic variables with machine learning to predict endometriosis risk Nature
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 …
To evaluate the diagnostic utility of advanced oxidation protein products (AOPPs), calprotectin, and classical tumor markers (CA 125 and CA19-9) in distinguishing ovarian endometriomas from simple cysts and healthy controls, …
Circulating inflammatory biomarkers and endometriosis lesion characteristics in the WisE consortium Nature
Endometriosis is a chronic inflammatory condition requiring surgical or imaging visualization for definitive diagnosis. How endometriotic lesion characteristics relate to circulating inflammatory markers remains unclear. We evaluated 11 inflammatory biomarkers, …
Endometriosis is a common estrogen-dependent inflammatory disease, yet its complex etiology is not fully understood. Endocrine Disrupting Chemicals (EDCs) exposure disrupts human reproduction, but studies on mixed EDCs and endometriosis …
Special attention has been paid to genetic mechanisms that might have a significant impact on the context of the risk of developing endometriosis, in recent years. The study aimed to …
To evaluate the impact of an interleukin-1 (IL-1) antagonist anakinra (Kineret®) on endometriosis-related quality of life (QoL), pain, and inflammatory biomarkers.