Reduced CAG Repeats in the Androgen Receptor Gene May Independently Cause Polycystic Ovarian Syndrome
Abstract
Polycystic ovarian syndrome (PCOS) affects over 116 million women globally and is typically linked with excess androgens such as testosterone. Many patients, however, display classic PCOS symptoms despite normal serum androgen. One proposed mechanism for these cases involves a shortened CAG (i.e., encodes glutamine) repeat length in the androgen receptor (AR) gene, which increases AR activity without elevating testosterone. Fewer glutamine repeats alter the AR's N-terminal domain and may contribute to strengthened interactions with co-activators and enhanced transcription of androgen-regulated genes. Heightened AR activity in hypothalamus neurons stimulates increased pulsatile release of gonadotropin-releasing hormone (GnRH), which disrupts pituitary secretion dynamics and favors luteinizing hormone (LH) over follicle-stimulating hormone (FSH). This altered LH/FSH ratio leads to impaired folliculogenesis, anovulation and other hallmark PCOS symptoms. Targeting AR activity directly, for example by using compounds that covalently modify the AR N-terminal domain to suppress activity, may therefore offer a more precise treatment strategy for 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.