Endometriosis impairs fertility by interfering with ovarian function, embryonic development, and endometrial receptivity. Extracellular vesicles (EVs) are recognised as non-invasive biomarkers that may indicate biological processes based on their lipid, …
MicroRNAs (miRNAs) have emerged as robust biomarkers for diagnosing and prognosing gynecological diseases due to their disease-specific expression and remarkable stability in body fluids. Despite the inherent instability of RNA …
Endometriosis poses diagnostic challenges. This study aimed to analyze the metabolomic profiles of plasma and peritoneal fluid samples obtained from women with endometriosis compared to controls. Our multicenter study involved …
Endometriosis‑associated infertility is considered to be linked to cellular senescence. The present study assessed whether rapamycin, a senescence inhibitor, ameliorates endometriosis‑associated infertility by upregulating peroxisome proliferator‑activated receptor α (PPARα) and …
Is menstrual fluid ‘the most overlooked opportunity’ in women’s health? University of Cincinnati
Ovarian endometriosis (OE), characterized by endometriotic cysts, adversely affects ovarian function and comprises in vitro fertilization and embryo transfer (IVF-ET) outcomes. Acupoint application therapy (AAT), which integrates transdermal drug delivery …
Background/Objectives: Endometriosis (EM) is a chronic gynecological condition associated with infertility, oxidative stress, and altered metabolic regulation. Follicular fluid (FF) reflects the microenvironment of the developing oocyte, and changes in …
Ferroptosis is a novel kind of regulated cell death that occurs when redox equilibrium is disrupted, leading to iron-dependent lipid peroxidation. Ferroptosis is defined by the buildup of deleterious lipid …
This pilot study evaluated Synuclein gamma (SNCG) and B-Cell Lymphoma 6 (BCL6) proteins as potential non-invasive biomarkers in serum and menstrual fluid (MF) to differentiate endometriosis patients from non-endometriosis and …
(PDF) Endometrial receptivity profiled through transcriptomic analysis of uterine fluid extracellular vesicles using systems biology and bayesian modeling for pregnancy prediction researchgate.net