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Updated: Jan 4, 2026

Evaluation of Hepatic Glucose Production in a Polycystic Ovary Syndrome Mouse Model
Published on: March 5, 2022
Several Circulating Biomarkers for PCOS Diagnosis
Peiqi Luo1, Cheng Zhang1,2, Yirui He3
1Laboratory of Diagnostic Medicine (Ministry of Education) and Department of Clinical Biochemistry, College of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
This study found that combining Irisin, Zinc-α2-glycoprotein (ZAG), and Betatrophin levels significantly improves the accuracy of diagnosing polycystic ovary syndrome (PCOS). This combined biomarker approach offers a more precise screening tool for PCOS.
Area of Science:
- Endocrinology
- Reproductive Medicine
- Biomarker Discovery
Background:
- Polycystic ovary syndrome (PCOS) is a complex endocrine disorder.
- Irisin, Betatrophin, and Zinc-α2-glycoprotein (ZAG) are implicated in insulin resistance (IR) and PCOS.
- Accurate screening tools for PCOS are crucial for early diagnosis and management.
Purpose of the Study:
- To evaluate the diagnostic accuracy of individual and combined serum levels of Irisin, Betatrophin, and ZAG for screening PCOS.
- To investigate the association of these biomarkers with insulin resistance in PCOS patients.
Main Methods:
- Enzyme-linked immunosorbent assay (ELISA) was used to measure serum concentrations of Irisin, Betatrophin, and ZAG in 186 participants.
- Logistic regression analysis assessed the association between biomarkers and PCOS.
- Receiver operating curve (ROC) analysis determined the diagnostic value of these biomarkers.
Main Results:
- PCOS women exhibited significantly higher Irisin and Betatrophin levels and lower ZAG levels compared to controls.
- Lower ZAG and higher Irisin/Betatrophin levels were observed in PCOS women with IR.
- Individual AUCs were 0.77 (Irisin), 0.83 (ZAG), and 0.85 (Betatrophin).
- Combined analysis yielded an AUC of 0.93 with 82.1% sensitivity and 92.3% specificity for PCOS detection.
Conclusions:
- The combination of Irisin, ZAG, and Betatrophin significantly enhances diagnostic accuracy for PCOS compared to single biomarkers.
- This multi-biomarker panel shows potential as an effective screening tool for PCOS.
- Further research may validate this panel for clinical application in PCOS diagnosis.
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