Correlation between anti-müllerian hormone in polycystic ovarian syndrome with metformin: a systematic review and meta-analysis

OBJECTIVE

This study aims to examine the short-term effects of oral metformin (MET) on serum anti-müllerian hormone (AMH) levels and to verify its impact on AMH concentrations in women with polycystic ovary syndrome (PCOS).

METHODS

The literature search, extending from January 2000 to April 2023, was conducted using databases such as PubMed, Embase, and the Cochrane Central, resulting in the inclusion of 20 studies. These selected studies, evaluated for quality using the Newcastle-Ottawa Scale, investigated changes in AMH levels before and after treatment, with durations ranging from less than three months to over six months. The reported outcomes were quantified as standardized mean differences (SMD) with 95% confidence intervals (CI). This comprehensive systematic review and meta-analysis was registered with the International Prospective Register of Systematic Reviews (PROSPERO) under the registration number CRD42023420705. The statistical analyses were performed using Review Manager 5.4.1.

RESULTS

① The study incorporated 20 articles, consisting of 12 prospective studies, 7 randomized controlled trials (RCT), and 1 cross-sectional study. ② Serum AMH levels in patients with PCOS diminish subsequent to the oral administration of MET. ③ Across the spectrum of studies analyzed, a pronounced degree of heterogeneity is evident, potentially ascribed to differential parameters including body mass index (BMI), daily pharmacological dosages, the temporal extent of treatment regimens, criteria of PCOS, and detection Methods. ④ The impact of MET on AMH levels exhibits a dose-responsive trend, with escalating doses of MET being associated with progressively greater declines in AMH concentrations in the patient population. ⑤ For women with PCOS receiving MET therapy, a minimum treatment duration of three months may be necessary to observe a reduction in serum AMH levels.

CONCLUSIONS

The results of this meta-analysis indicate that MET treatment exerts a suppressive effect on serum AMH levels in women with PCOS. It appears that a treatment duration of at least three months is required to achieve a significant decrease in AMH concentrations. Furthermore, the influence of MET on AMH is dose-dependent, with higher doses correlating with more pronounced reductions in AMH levels among the patients studied.

[Hormone anti-müllérienne (AMH) en pédiatrie : établissement de valeurs de référence avec le dosage de l'AMH Fujirebio® Lumipulse G et comparaison avec le dosage Roche® Elecsys sur les mêmes échantillons pédiatriques]

We performed a method comparison between the Fujirebio® Lumipulse G AMH assay and the Roche® Elecsys AMH assay using the same pediatric samples. We described full pediatric gender and age-specific reference ranges for AMH using the Fujirebio® AMH assay on the Lumipulse G 600 II. The study was performed on 281 plasma samples collected in tubes with lithium heparin. The samples were from patients (135 males and 146 females) aged from 3 days to 22 years collected at the University Hospital Center of Tours. The Fujirebio® Lumipulse method showed excellent correlation with Roche® Elecsys but had a significant proportional positive bias. The data were used to propose pediatric reference values adapted to the Fujirebio® method. Our study described full pediatric gender and age-related reference ranges for AMH using the Fujirebio® AMH assay on the Lumipulse G600II. The delineation between normal male and female AMH concentrations make them valuable clinical tools for the monitoring of pediatric sexual and reproductive development from early childhood through the pubertal transition into adulthood.

An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study

PURPOSE

To establish a more convenient ovarian reserve model with anti-Müllerian hormone (AMH) level and age (the AA model), with blood samples taken at any time in the menstrual cycle.

METHODS

We have established this AA model for predicting ovarian reserve using the AMH level and age. The outcome variable was defined as poor ovarian response (POR) with <5 oocytes retrieved during assisted reproductive technology treatment cycles. Least Absolute Shrinkage and Selection Operator logistic regression with 5-fold cross validation methods was applied to construct the model, and that with the lowest scaled log-likelihood was selected as the final one.

RESULTS

The areas under the receiver operating characteristic curve for the training, inner, and external validation sets were 0.862, 0.843, and 0.854 respectively. The main effects of AMH level and age contributing to the prediction of POR were 95.3% and 1.8%, respectively. The incidences of POR increased with its predicted probability in both the model building and in external validation datasets, indicating its stability. An online website-based tool for assessing the score of ovarian reserve (http://121.43.113.123:9999) has been developed.

CONCLUSIONS

Based on external validation data, the AA model performed well in predicting POR, and was more cost-effective and convenient than our previous published models.

Molecular Mechanisms of AMH Signaling

Anti-Müllerian Hormone (AMH) is a secreted glycoprotein hormone with critical roles in reproductive development and regulation. Its chemical and mechanistic similarities to members of the Transforming Growth Factor β (TGF-β) family have led to its placement within this signaling family. As a member of the TGF-β family, AMH exists as a noncovalent complex of a large N-terminal prodomain and smaller C-terminal mature signaling domain. To produce a signal, the mature domain will bind to the extracellular domains of two type I and two type II receptors which results in an intracellular SMAD signal. Interestingly, as will be discussed in this review, AMH possesses several unique characteristics which set it apart from other ligands within the TGF-β family. In particular, AMH has a dedicated type II receptor, Anti-Müllerian Hormone Receptor Type II (AMHR2), making this interaction intriguing mechanistically as well as therapeutically. Further, the prodomain of AMH has remained largely uncharacterized, despite being the largest prodomain within the family. Recent advancements in the field have provided valuable insight into the molecular mechanisms of AMH signaling, however there are still many areas of AMH signaling not understood. Herein, we will discuss what is known about the biochemistry of AMH and AMHR2, focusing on recent advances in understanding the unique characteristics of AMH signaling and the molecular mechanisms of receptor engagement.

Improving Prediction of Age at Menopause Using Multiple Anti-Müllerian Hormone Measurements: the Tehran Lipid-Glucose Study

CONTEXT

Several statistical models were introduced for the prediction of age at menopause using a single measurement of anti-müllerian hormone (AMH); however, individual prediction is challenging and needs to be improved.

OBJECTIVE

The objective of this study was to determine whether multiple AMH measurements can improve the prediction of age at menopause.

DESIGN

All eligible reproductive-age women (n = 959) were selected from the Tehran Lipid and Glucose Study. The serum concentration of AMH was measured at the time of recruitment and twice after that at an average of 6-year intervals. An accelerated failure-time model with Weibull distribution was used to predict age at menopause, using a single AMH value vs a model that included the annual AMH decline rate. The adequacy of these models was assessed using C statistics.

RESULTS

The median follow-up period was 14 years, and 529 women reached menopause. Adding the annual decline rate to the model that included single AMH improved the model's discrimination adequacy from 70% (95% CI: 67% to 71%) to 78% (95% CI: 75% to 80%) in terms of C statistics. The median of differences between actual and predicted age at menopause for the first model was -0.48 years and decreased to -0.21 in the model that included the decline rate. The predicted age at menopause for women with the same amount of age-specific AMH but an annual AMH decline rate of 95 percentiles was about one decade lower than in those with a decline rate of 5 percentiles.

CONCLUSION

Prediction of age at menopause could be improved by multiple AMH measurements; it will be useful in identifying women at risk of early menopause.

Can anti-Müllerian hormone predict success outcomes in donor sperm inseminations?

Anti-Müllerian hormone (AMH) is a useful biomarker to predict the ovarian response to controlled ovarian stimulation (COS) for IVF. However, currently there is a lack of evidence for the role of ovarian reserve markers when there is no need of COS. The aim of this study was to evaluate the usefulness of AMH to predict the outcomes of donor sperm insemination cycles in non-infertile women. A retrospective study including 139 healthy women, who underwent 348 intrauterine insemination (IUI) cycles with donor sperms under the stimulated or natural cycles, was conducted. All patients had an AMH evaluation performed before starting the first IUI attempt. AMH levels were similar in both, women who conceived and those who did not (2.00 ± 1.52 vs. 1.88 ± 1.64 ng/ml; p = .45). The area under the ROC curve in predicting pregnancy for AMH was 0.53. After adjusting for other confounding variables, the multivariate analysis revealed that AMH was not associated with pregnancy (aOR 0.89; 95% CI 0.57-1.37). We conclude that AMH is not predictive of pregnancy in healthy non-infertile women who perform IUI with donor sperm. These findings suggest the low capability of AMH to predict fertility when no COS is needed.