Key result
A combined model including circulating levels of ANGPTL3, 4, 8, omentin-1, leptin, IL-6, TNF-α, CRP, LDL, and BMI significantly predicted polycystic ovary syndrome with a positive predictive value of 80%.
Why the study?
The connection of ANGPTL3, 4, 8, omentin-1, leptin, TNF-α, and IL-6 to PCOS remains debated despite their known roles in fat metabolism, obesity, and inflammation.
Are circulating levels of ANGPTL, omentin-1, leptin, and cytokines associated with polycystic ovary syndrome across different BMI groups?
Cross-Sectional (n=60)
No
Are circulating levels of ANGPTL, omentin-1, leptin, and cytokines associated with polycystic ovary syndrome across different BMI groups?
Effect estimate: Nagelkerke R² 0.698
p-value: p=<0.0001
A combination of circulating biomarkers, particularly lower omentin-1 and higher CRP, is significantly associated with polycystic ovary syndrome across different BMI groups.
Objective: This study aims to explore the combined role of ANGPTL3, 4, 8, omentin-1, leptin, TNF-α, and IL-6 molecules known for their roles in fat metabolism, obesity, and inflammation, yet whose connection to PCOS is still debated in the development of PCOS. Methods: A prospective cross-sectional study involving PCOS patients (n=30) and BMI-matched controls (n=30) was conducted. Levels of ANGPTL3, 4, 8, omentin-1, leptin, TNF-α, and IL-6 were measured in peripheral venous blood samples. Results: =0.698, p<0.0001, PPV=80%, NPV=90%). In ROC analysis, the AUC for CRP and omentin-1 were significant (p<0.05; AUC=0.800-0.328). Conclusion: This study suggests a continuous interaction among ANGPTL, omentin-1, leptin, and cytokines in the etiopathogenesis of PCOS.
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Çınar et al. (2025) conducted a cross-sectional in Polycystic ovary syndrome (PCOS) (n=60). Circulating levels of ANGPTL, omentin-1, leptin, and cytokines vs. Healthy BMI-matched controls was evaluated on PCOS diagnosis prediction model (Nagelkerke R² 0.698, p=<0.0001). A combined model including circulating levels of ANGPTL3, 4, 8, omentin-1, leptin, IL-6, TNF-α, CRP, LDL, and BMI significantly predicted polycystic ovary syndrome with a positive predictive value of 80%.
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