The independent causal effects of interrelated lifestyle behaviors and psychological states on women's gynecologic and obstetric health remain incompletely understood. We conducted a comprehensive Mendelian randomization (MR) study to disentangle …
The menstrual cycle is one of the most fundamental biological rhythms in human physiology, yet its systemic molecular changes remain poorly understood. Here we show that the menstrual cycle is …
Identification of appropriate biomarkers is of great clinical significance for early diagnosis of endometriosis (EMs). This study aimed to comprehensively analyze the association between EMs and blood and urine biomarkers …
Endometriosis (EMT) and irritable bowel syndrome (IBS) disproportionately affect middle-aged and older women, where overlapping symptoms (e.g., chronic pelvic pain, bloating) and shared inflammatory mechanisms may drive comorbidity. However, large-scale …
Female reproductive disorders influence women's physical and mental well-being, and the sustainability of the family. However, it is unclear whether lifestyle factors, including sedentary behaviors and physical activity, could impact …
Endometriosis (EMs) and depression are both common conditions that have a significant negative impact on quality of life. However, it is still unclear about the relationship between them. The study …
Endometriosis is a chronic inflammatory disorder with poorly understood mechanisms. Inflammatory proteins are hypothesized to play a causal role, but evidence remains limited. We performed a 2-sample Mendelian randomization study …
Endometriosis is a common disease for women of reproductive ages. Individuals with accelerated biological aging are at a higher risk of developing various diseases, however, the effect of biological aging …
Little is known about the role of timing of physical activity in female reproductive disorders. These disorders include polycystic ovary syndrome (PCOS), heavy menstrual bleeding (HMB), endometriosis, infertility, and pregnancy-related …
Cardiovascular disease (CVD) is the leading cause of mortality in women. We aimed to assess whether adding female-specific risk factors to traditional factors could improve CVD risk prediction.