Serum anti-Müllerian hormone: A potential biomarker for polycystic ovary syndrome

Abstract

Background objectives: Polycystic ovary syndrome (PCOS) is characterized by chronic ovulatory dysfunction, hyperandrogenism and polycystic ovary morphology (PCOM). Although hyperandrogenism is one of the major features of PCOS, it is rarely observed in southeast Asia. Recently, however, there has been growing evidence on association of anti-Müllerian hormone (AMH) with PCOS. The objective of this study was to investigate the diagnostic potentials of AMH in PCOS individuals.

Methods: This case-control study included a total of 131 women with PCOS and 49 healthy controls who were enrolled after the exclusion of secondary causes of PCOS. Serum AMH was measured using an ultra-sensitive AMH ELISA kit in addition to other diagnostic biomarkers. Statistical analyses was carried out using the Student's t test, Wilcoxon rank-sum test, receiver operating characteristic (ROC) curve analysis, Spearman's rank correlation test and multivariable binary logistic regression analysis.

Results: The median AMH values were 8.5 ng/ml and 2.5 ng/ml in the study group and controls, respectively ( P <0.001). The normal cutoff value of 4.1 ng/ml for AMH was derived from ROC curve analysis. With a 4.1 ng/ml cut-off value, high levels of AMH was found in about 84 per cent of PCOS cases. However, no significant difference in AMH level was noted between age groups (<20 vs . ≥20 yr), body mass index (BMI) (<25 vs . ≥25 kg/m 2 ) and PCOM types. The area under the ROC curve (AUC) for AMH yielded diagnostic range values. In total PCOS cases, AUC was 0.93 (95% CI: 0.88 and 0.96), and in phenotype A PCOS cases, AUC was 0.96 (95% CI: 0.91 and 0.98). The correlation test also showed no association with BMI, the FG score, PCOM, free androgen index, androstenedione, dehydroepiandrosterone sulphate and luteinizing hormone. However, a weak correlation was observed with testosterone in total PCOS cases and with DHT as well as age in phenotype A PCOS cases. The prediction model for PCOS using multivariable binary logistic regression analysis showed AMH as the best marker.

Interpretation conclusions: The results of this study suggest that AMH can be considered as the most promising biomarker in PCOS women, particularly with phenotype A and phenotype D.

Figure

ROC curve for PCOS prediction model. Stepwise multivariable binary logistic regression model used to predict power of each biomarker. Cut-off score for prediction of PCOS: ≥39.56 with sensitivity (95% CI) of 91% (90.7, 96.8) and specificity (95% CI) 89.9% (88.5, 95.3). ROC, receiver operating characteristics.