Diagnostic Value of Serum Asprosin, Chemerin, and Adropin in Women with Polycystic Ovary Syndrome
Author(s):
Estbrak Yahya Ashoor
Date: 09/10/2026
doi: https://doi.org/10.5281/zenodo.8425890
Abstract
Background: Polycystic ovary syndrome is a common endocrine disorder characterized by metabolic
dysfunction, making serum asprosin, chemerin, and adropin promising biomarkers for diagnosis. Aims of
the study: This study aimed to evaluate the diagnostic value of serum asprosin, chemerin, and adropin in
women with polycystic ovary syndrome and their association with disease severity. Methodology: A
case–control study was conducted at Gynecology Outpatient and Consultant Gynecology Clinics, Iraq,
between October 12, 2025, and June 5, 2026, including 80 women with polycystic ovary syndrome and
40 age-matched healthy controls. Diagnosis followed the Rotterdam criteria. Fasting serum asprosin,
chemerin, adropin, reproductive hormones, insulin, glucose, and HOMA-IR were measured using ELISA,
chemiluminescence immunoassays, and enzymatic methods. PCOS severity was classified as mild,
moderate, or severe according to clinical, hormonal, ultrasonographic, and metabolic findings. Result:
Women with PCOS exhibited significantly higher BMI, fasting glucose, reproductive abnormalities,
serum asprosin, chemerin, testosterone, LH, insulin, LH/FSH ratio, and HOMA-IR, while adropin levels
were significantly reduced compared with controls. Biomarker alterations became progressively more
pronounced with increasing disease severity. Asprosin and chemerin correlated positively, whereas
adropin correlated negatively, with metabolic and hormonal parameters, particularly HOMA-IR. ROC
analysis demonstrated excellent diagnostic performance, with adropin showing the highest accuracy,
sensitivity, and specificity for distinguishing PCOS from healthy women. Conclusions; Serum asprosin,
chemerin, and adropin are promising biomarkers for polycystic ovary syndrome. Their significant
associations with insulin resistance, hormonal imbalance, and disease severity support their potential
utility in improving diagnosis, metabolic assessment, and clinical monitoring of women with PCOS.
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