Metabolic and hormonal profiling in polycystic ovarian syndrome: insights into INSR gene variations.

ABSTRACT

BACKGROUND: Polycystic Ovary Syndrome (PCOS) is a hormonal disorder characterized by irregular periods, excess androgen levels, and polycystic ovaries, affecting many women of reproductive age. METHODS AND RESULTS: This study employed statistical and molecular analyses to compare hormone and metabolic markers between PCOS patients and controls. Sanger sequencing identified two INSR gene variants linked to high insulin and pre-diabetic conditions. Statistically, no significant age differences were detected (p = 0.492) between the overall PCOS patient pool and controls. However, a substantial variation in Vitamin D levels was observed within PCOS patients compared to controls (p = 0.0006), suggesting an association with PCOS. Correlations between Vitamin D and insulin, as well as HbA1c levels (R2 = 0.141 and 0.143, respectively), suggest Vitamin D's potential impact on glycemic control. Significant differences were found in HbA1c (p < 0.0001), insulin (p < 0.0001), and LDL (p = 0.0004) levels between PCOS patients and controls, highlighting marked disparities in these metabolic markers. LH levels also showed a significant contrast (p < 0.0001), while progesterone levels displayed a notable difference (p = 0.007) between the two groups. Correlation analyses within PCOS patients demonstrated associations among LDL, HbA1c, and insulin, with no such correlations observed in control cases. Additionally, Sanger sequencing identified two INSR gene variants, c.3614C > T (p.Pro1205Leu) and c.3355C > T (p.Arg1119Trp), associated with high insulin, LH, and pre-diabetic conditions. These amino acid changes may trigger metabolic imbalances and hormonal irregularities, potentially contributing to the development of PCOS. CONCLUSIONS: The findings highlight the multifaceted nature of PCOS, revealing significant metabolic, hormonal, and genetic differences compared to controls. These insights may inform tailored interventions and management strategies for the complex associations characteristic of PCOS.