Prediction of the Effect of Metformin Treatment in Patients with Polycystic Ovary Syndrome
Abstract
The objective of the study was to find predictors of a successful therapy with metformin in polycystic ovary syndrome. 24 women with polycystic ovary syndrome were examined (oral glucose tolerance test and gonadotropin-releasing hormone analogue test) before and after a 6-month course of metformin (1 g/day). In 58% of the women, a significant improvement in the menstrual cycle pattern was observed. After a treatment course, a significant reduction in gonadotropin-releasing hormone analogue stimulated levels of testosterone (p < 0.05), free testosterone index (p < 0.01), luteinizing hormone (p < 0.05), and estradiol (p < 0.01) was found. The best prediction of the improvement in menstrual cyclicity after metformin was achieved with a combination of basal values of 17-hydroxyprogesterone, testosterone, sex hormone binding globulin, and androstenedione. These variables correctly classified 86.7% of the responders. The best predictor of changes in the index of free testosterone after metformin treatment was the combination of estradiol and androstenedione in the gonadotropin-releasing hormone analogue test, with basal testosterone correctly classifying 91.7% of the subjects.
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.