PMOS was associated with significantly lower NO levels compared to controls (p<0.001), while the non-hyperandrogenic Phenotype D was independently associated with low TMAO levels (B=-0.131, p=0.027).
Cross-Sectional (n=90)
Do serum levels of ISM-1, TMAO, and NO differ across specific phenotypes of PMOS compared to healthy controls?
PMOS patients exhibit marked biochemical heterogeneity, with reduced NO levels across all phenotypes and specifically low TMAO levels in the non-hyperandrogenic Phenotype D.
Effect estimate: B = -0.131
p-value: p=<0.001
Background: This study aimed to evaluate the phenotype-specific profiles of serum Isthmin-1 (ISM-1), Trimethylamine N-Oxide (TMAO) and Nitric Oxide (NO) levels in women diagnosed with Polyendocrine Metabolic Ovarian Syndrome (PMOS, formerly known as Polycystic Ovary Syndrome—PCOS) according to the Rotterdam criteria. Methods: This cross-sectional study enrolled 90 reproductive-aged women, divided equally into five groups (n = 18 per group) with similar baseline metabolic parameters: healthy controls and PMOS Phenotypes A, B, C, and D. To minimize confounding effects, individuals with recent use of specific medications were excluded, and 24 h dietary recalls were obtained. Fasting blood samples were collected during the early follicular phase. Serum ISM-1, TMAO, and NO levels were quantified via ELISA, and insulin resistance was determined using the HOMA-IR index. Data were adjusted for potential confounders, including age, BMI, and smoking status, using multivariate linear regression models. Results: No statistically significant differences were observed between the groups in key parameters such as BMI and HOMA-IR. Serum ISM-1 levels did not show a significant difference between the groups (p = 0.501). In contrast, NO levels were found to be significantly lower in all PMOS phenotypes compared to the control group (p < 0.001), and this reduction remained independent in regression models. TMAO levels, however, exhibited a phenotype-specific distribution; in the non-hyperandrogenic Phenotype D, they were found to be significantly lower than in the control group and hyperandrogenic phenotypes A and B. In the multivariate regression analysis, it was confirmed that Phenotype D was independently associated with low TMAO levels (B = −0.131, p = 0.027). Conclusions: Although PMOS patients share a similar profile of obesity and insulin resistance, they exhibit marked biochemical heterogeneity. Whilst the reduction in NO levels may indicate a generalised vascular change affecting all phenotypes, the observation of low TMAO levels specifically in the non-hyperandrogenic Phenotype D highlights a distinct biochemical signature associated with this subgroup, observed in the absence of hyperandrogenism. Our findings support the notion that adopting phenotype-specific, individualised approaches in the management of PMOS may be beneficial.
Tığlı et al. (Sat,) conducted a cross-sectional in Polyendocrine Metabolic Ovarian Syndrome (PMOS) (n=90). Polyendocrine Metabolic Ovarian Syndrome (PMOS) vs. Healthy controls was evaluated on Serum ISM-1, TMAO, and NO levels (B = -0.131, p=<0.001). PMOS was associated with significantly lower NO levels compared to controls (p<0.001), while the non-hyperandrogenic Phenotype D was independently associated with low TMAO levels (B=-0.131, p=0.027).
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