This narrative review examines the therapeutic potential of Erastin and its derivatives for endometriosis (EMS) by integrating mechanistic, preclinical, and translational perspectives. We conducted a focused review of literature from …
The prevalence of endometriosis and adenomyosis in the Norwegian population is unknown. The aim of this study was to report on diagnoses of endometriosis, adenomyosis and related health problems among …
Chinese patent medicines (CPMs), standardized herbal formulations widely used in clinical practice, combined with hormones have shown favorable therapeutic effects in the adjuvant treatment of endometriosis (EMS) after laparoscopic surgery. …
Quality of life represents a key area of concern in every stage of life. It is necessary to pay more attention to the factors or conditions that can negatively affect …
Endometriosis (EMs) is a chronic inflammatory disorder characterized by dysregulated innate immunity, particularly impaired cytotoxic function of natural killer (NK) cells. As pivotal effectors of the innate immune response, NK …
Endometriosis is a common gynecological condition, and problems may persist or develop after the menopause. Endometriosis or its treatment in premenopausal women may lead to premature or early menopause. Thus, …
Multifunctional small-molecule theranostic agents hold significant clinical potential for non-invasive endometriosis (EMS) management. Current EMS treatment faces challenges due to imprecise lesion localization and therapy-associated side effects. Herein, an integrated …
Endometriosis (EMS) is a persistent, inflammatory condition that relies on estrogen and is distinguished by the proliferation of endometrial tissue outside the confines of the uterus. The impact on the …
Endometriosis (EMs) is a common inflammatory disorder in women of reproductive age, severely impacting patients' quality of life and fertility. Current hormonal therapies offer limited efficacy, and surgical interventions often …
High-throughput sequencing enables efficient processing of DNA and RNA samples in batches, but batch effects can obscure true biological signal. We propose using anticlustering as an automated method to assign …