Abnormal expression levels of microRNAs are associated with numerous diseases in the female reproductive tract. A small subset of human endogenous retroviruses (HERVs) genes have retained open reading frames (ORFs) …
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, …
Identifying serum microRNAs as biomarkers for endometriosis in adolescents and young adults Reproductive Biology and Endocrinology
Endometriosis is a gynecological disorder that affects 190 million reproductive age women worldwide. Laparoscopic surgery is considered the gold standard to diagnose the disease, creating a barrier to diagnosis and …
Endometriosis diagnosis currently relies on invasive laparoscopy, creating a need for non-invasive alternatives. This study evaluates microRNAs (miRNAs) as potential diagnostic biomarkers for endometriosis through systematic evidence synthesis and performance …
Endometriosis (EMS) is a chronic gynecological condition affecting 6-10% of reproductive-age women. These lesions, albeit of benign nature, present cancer-like features, and may progress to epithelial ovarian cancer (EOC) through …
Endometriosis is a chronic, estrogen-driven inflammatory disorder affecting approximately 10% of reproductive-aged women globally. Despite increasing genomic insights into advanced-stage disease, the genetic underpinnings of early-stage endometriosis remain poorly understood, …