Lipidomics, an emerging field in medical research, has deepened our understanding of lipid metabolism, signal transduction pathways, and intercellular communication through qualitative and quantitative analyses of patient lipid profiles. It …
Endometriosis (EMS) is an oestrogen-dependent condition characterised by ectopic endometrial-like tissue growth with a chronic and inflammatory nature leading to severe symptoms and reduced quality of life. Emerging evidence implicates …
Endometriosis is a common gynecologic condition that causes chronic, life-altering symptoms including pain and infertility. There is an urgent need for new non-hormonal targeted therapeutics to treat endometriosis, but until …
We conducted a multi-ancestry genome-wide association study of endometriosis and adenomyosis in almost 1.4 million women, including 105,869 cases, aiming to expand endometriosis loci discovery across ancestries, dissect symptom-specific effects, …
Endometriosis is a chronic, systemic, inflammatory disease characterized by the presence of endometrium-like tissue growing outside of the uterus. One of its main symptoms is chronic pain and inflammation leading …
Multi-omics data are instrumental in obtaining a comprehensive picture of complex biological systems. This is particularly useful for women's health conditions, such as endometriosis which has been historically understudied despite …
Globally, endometriosis affects almost 10% of reproductive-aged women, leading to chronic pain and discomfort. Endocrine-disrupting compounds (EDCs) seem to play a pivotal role as a causal factor. The current manuscript …
Endometriosis significantly impacts fertility through complex mechanisms. These include chronic inflammation, oxidative stress, and anatomical distortion. These mechanisms impair oocyte quality, embryo development, and implantation. While in vivo challenges persist, …
Ultrasound techniques for diagnosing deep infiltrating endometriosis (DIE) currently lack a quantitative method to assess microstructural heterogeneity in relation to diagnosis and clinical symptoms. This study evaluates Shannon entropy-based radiomics …