Polycystic ovarian syndrome
Abstract
Polycystic ovarian syndrome (PCOS) is the most common reproductive endocrinopathy of women during their childbearing years. A significant degree of controversy exists regarding the etiology of this syndrome, but there is a growing consensus that the key features include insulin resistance, androgen excess, and abnormal gonadotropin dynamics. Familial and genetic factors cause predisposition to PCOS. Insulin resistance and adiposity put women with PCOS at a higher risk for diabetes, hypertension, dyslipidemia, and cardiovascular disease. Even though the adverse health consequences associated with PCOS are substantial, most women are not aware of these risks. Early recognition and treatment of metabolic sequelae should be the main focus of clinicians. Lifestyle modifications, mainly a balanced diet, weight loss, and regular exercise, are of utmost importance. On the pharmacologic front, various therapies including metformin, thiazolidinediones, and others appear to be very promising in the management of cardiometabolic aspects of PCOS.
Read the paper
Related studies
- Increased expression of circulating miRNA-93 in women with polycystic ovary syndrome may represent a novel, non-invasive biomarker for diagnosis
- Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis
- Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules
- Regulation of Androgen Receptor Expression Alters AMPK Phosphorylation in the Endometrium: In Vivo and In Vitro Studies in Women with Polycystic Ovary Syndrome
- Effect of oral administration of low-dose follicle stimulating hormone on hyperandrogenized mice as a model of polycystic ovary syndrome
- Systems pharmacology to investigate the interaction of berberine and other drugs in treating polycystic ovary syndrome
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.