Endometrial receptivity is essential for successful pregnancy, and endometriosis is widely recognized as a disruptor of this process. Poor endometrial receptivity is also a key factor contributing to recurrent implantation …
Pain in endometriosis involves not only nociceptive but also neuropathic and neurogenic components, reflecting its complex nature. Histamine, a biogenic amine, has emerged as a critical mediator connecting inflammation and …
Endometriosis remains a prevalent gynecological disorder that affects women during their reproductive years, featured by progressive inflammation and enhanced HIF-1α expression. This paper intended to plumb the mechanism of vascular …
Endometriosis is a chronic gynecological disorder characterized by progressive fibrosis, which is closely associated with clinical symptoms such as dysmenorrhea and infertility. While myofibroblast activation is central to fibrogenesis, the …
Endometriosis (EMs) is a gynecological disorder characterized by chronic inflammation and an aberrant immune microenvironment. In this study, we integrated the GSE6364 dataset from the GEO database to identify differentially …
This study aims to assess whether endometriosis causally increases the risk of IBD through Mendelian randomisation (MR) analysis and to elucidate potential mechanisms using in vitro experiments. A two-sample Mendelian …
Uterine fibroids (UFs) are the most common benign gynecologic tumours affecting women of reproductive age. This study aims to deepen the understanding of UFs complex aetiology through harnessing the power …
Endometriosis is a common gynecological disorder, whose pathogenesis remains incompletely understood. Macrophages, a key type of immune cell, are pivotal in the context of endometriosis. This study seeks to explore …
Endometriosis is a refractory estrogen-dependent gynecological disease in which ovarian endometriosis(OE) is the most common, and the main cell components are endometrial epithelial cells and stromal cells. However, constructing ectopic …
How can we best achieve tissue segmentation and cell counting of multichannel-stained endometriosis sections to understand tissue composition?