Endometriosis, a disease affecting about one out of ten women, is characterized by the growth of endometrial-like tissue outside the uterine cavity. There is significant disease heterogeneity, but the pathophysiological …
Can patient-derived organoid models be reliably established from diverse surgical phenotypes of endometriosis, and how do clinical factors such as hormonal treatment affect their growth success and morphology?
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 …
We aimed to generate immortalized stromal cell lines from the ovarian and fallopian tube tissues of a single patient using Sendai virus (SeV) vectors and identify candidate stromal genes involved …
Ovarian fibrosis is increasingly recognized as a pivotal factor contributing to ovarian aging, dysfunction and female infertility. It results from chronic or repetitive ovarian injury, such as that caused by …
Background: Adenomyosis remains difficult to diagnose non-invasively due to clinical overlap with endometriosis and the limited specificity of imaging techniques. This pilot study evaluated whether serum- and urine-derived microRNA (miRNA) …
This study aimed to establish a risk prediction model of endometriosis in infertile women and verify the model.
A Risk-Stratified Model for Predicting Endometrial Atypical Hyperplasia and Cancer to Guide Biopsy Decisions in Asymptomatic Postmenopausal Women Frontiers
The reduction in oocyte competence and ovarian reserve coincides with reproductive ageing; nevertheless, the molecular mechanisms underlying this phenomenon remain poorly understood. Our testable mechanistic hypothesis is that the oxidative …
This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ovarian, bowel, and peritoneal endometriosis. The Boruta algorithm was applied to …