Anti-Müllerian Hormone and Ovarian Morphology in Women With Hypothalamic Hypogonadism

Comparison of 3 Different AMH Assays With AMH Levels and Follicle Count in Women With Polycystic Ovary Syndrome

CONTEXT

Anti-Müllerian hormone (AMH) levels strongly correlate with the number of antral follicles (total follicle count, TFC) in the ovary. In women with polycystic ovary syndrome (PCOS), this is reflected by significantly increased serum AMH levels. Different assays have been developed to measure AMH. However, little is known about the interassay correlation in women with increased AMH levels.

OBJECTIVE

To investigate the correlation of AMH values between different AMH assays and with TFC in PCOS patients.

METHODS

AMH levels were measured in 1660 PCOS patients, using 3 different AMH assays: Gen II (Beckman Coulter); picoAMH (Ansh Labs); and Elecsys (Roche). Passing Bablok regression was used to compare assay methods. Spearman's correlation was used to correlate AMH levels and TFC.

RESULTS

Strong interassay correlations were present over the total range of AMH levels (0.81-0.94). Stratification in subgroups, revealed an AMH level-dependent interassay correlation with strong interassay correlations in the low (<2.80 ng/mL) and high (>7.04 ng/mL) subgroups (0.62-0.86). However, the correlation in the mid-AMH subgroup (2.80-7.04 ng/mL) was only moderate (0.28-0.56). A strong correlation was present between the total range of AMH levels and TFC (0.57-0.62). However, in all 3 AMH subgroups the correlation became moderate at best, independently of assay method (0.11-0.45).

CONCLUSION

In conclusion, both the interassay correlation and the correlation between AMH level and follicle count depend on the range of serum AMH levels. This once more emphasizes the need of a standardization of AMH measurement for an accurate interpretation of AMH in clinical practice.

Basal and dynamic relationships between serum anti-Müllerian hormone and gonadotropins in patients with functional hypothalamic amenorrhea, with or without polycystic ovarian morphology

BACKGROUND

To evaluate in women with functional hypothalamic amenorrhea (FHA), whether there is a difference between patients with and without polycystic ovarian morphology (PCOM) concerning the response to a gonadotropin releasing hormone (GnRH) stimulation test and to pulsatile GnRH treatment.

METHODS

In a retrospective observational study, 64 women with FHA who underwent a GnRH stimulation test and 32 age-matched controls without PCOM were included. Pulsatile GnRH treatment was provided to 31 FHA patients and three-month follow-up data were available for 19 of these.

RESULTS

Serum levels of gonadotropins and estradiol were lower in FHA women than in controls (p < 0.05). FHA patients revealed PCOM in 27/64 cases (42.2%). FHA patients without PCOM revealed lower anti-Müllerian hormone (AMH) levels than controls (median 2.03 ng/mL, IQR 1.40-2.50, versus 3.08 ng/mL, IQR 2.24-4.10, respectively, p < 0.001). Comparing FHA patients with and without PCOM, the latter revealed lower AMH levels, a lower median LH increase after the GnRH stimulation test (240.0%, IQR 186.4-370.0, versus 604.9%, IQR 360.0-1122.0; p < 0.001) as well as, contrary to patients with PCOM, a significant increase in AMH after three months of successful pulsatile GnRH treatment (median 1.69 ng/mL at baseline versus 2.02 ng/mL after three months of treatment; p = 0.002).

CONCLUSIONS

In women with FHA without PCOM, the phenomenon of low AMH levels seems to be based on relative gonadotropin deficiency rather than diminished ovarian reserve. AMH tended to rise after three months of pulsatile GnRH treatment. The differences found between patients with and without PCOM suggest the former the existence of some PCOS-specific systemic and/or intra-ovarian abnormalities.

Anti-Müllerian hormone, an ovarian reserve marker in hypogonadotropic hypogonadism

OBJECTIVE

To determine the usefulness of Anti-Müllerian Hormone (AMH) and antral follicle count (AFC) as an ovarian reserve marker in hypogonadotropic hypogonadism (HH) patients and to find a limit value for the gonadotropin levels in the diagnosis of HH patients.

STUDY DESIGN

It is a retrospective cross-sectional single-center study. One hundred ninety-nine women with HH and 171 healthy controls with no cycle disorders were included into this study. Continuous variables were expressed as mean ± standard deviation. Statistical comparisons were carried out according to the intention to treat by Student's t-test, Mann-Whitney U test, where appropriate. Receiver operating characteristic curve-ROC was used to represent the sensitivity and specificity pair corresponding to decision threshold of FSH and LH levels in HH diagnosis. P < 0.05 was accepted to be statistically significant.

RESULTS

There was not any statistically significant difference between HH and control group regarding the age (23.94 ± 6.56 vs. 23.92 ± 3.01, respectively; p = 0.09). Serum AMH levels didn't show statistically significant difference between HH and control group (3.26 ± 2.61 ng/mL vs. 3.15 ± 1.46 ng/mL, respectively; p = 0.11). The difference of AFC between HH and control group was statistically significant (6.67 ± 6.33 vs. 10.91 ± 2.92, respectively; p < 0.001). Follicle-stimulating hormone (FSH), Luteinizing-hormone (LH) and Estradiol (E₂) levels between the groups were found to be significantly different. Area under the receiver operating characteristic curve-ROC for FSH was 0.98 and for LH was 0.96. For the diagnosis of HH, FSH levels lower than 3.05 IU/L (with a sensitivity of 92% and specificity of 94%) and LH levels lower than 1.55 IU/L (with a sensitivity of 91% and specificity of 92%) can be used.

CONCLUSION

In conclusion, serum AMH levels reflect the follicle cohort in HH cases validly with negligible underestimation of ovarian reserve. FSH < 3.05 IU/L and LH < 1.55 IU/L could be used with high sensitivity and specificity for the diagnosis of HH.

Polycystic Ovary Syndrome Phenotype D Versus Functional Hypothalamic Amenorrhea With Polycystic Ovarian Morphology: A Retrospective Study About a Frequent Differential Diagnosis

The two most frequent causes of secondary amenorrhea are polycystic ovary syndrome (PCOS) and functional hypothalamic amenorrhea (FHA). Despite several studies showing differences in hormonal profile between these groups, the differential diagnosis remains challenging, in particular between FHA women with polycystic ovarian morphology (FHA-PCOM) and PCOS patients without hyperandrogenism (phenotype D, PCOS-D). In a retrospective case-control study, 58 clearly defined patients with FHA-PCOM were compared to 58 PCOS-D patients, matched 1:1 for age and BMI. Significantly higher levels of LH, estradiol, testosterone, and a higher luteinizing hormone (LH): follicle stimulating hormone (FSH) ratio as well as lower sexual hormone binding globulin (SHBG) levels were found in PCOS-D patients (p< 0.05). Optimized cut-off values for the prediction of FHA-PCOM were calculated by the Youden index. The highest sensitivity was found for an estradiol serum level <37.5 pg/mL (84.5%, 95% confidence interval, CI: 72.6-92.6), whereas a LH : FSH ratio <0.96 had the highest specificity (94.8, 95% CI: 85.6-98.9). A linear discriminant analysis including testosterone, SHBG and LH was able to correctly classify 87.9% of FHA-PCOM patients (bootstrap 95% CI: 80.2 - 94.0%). In conclusion, this model including serological parameters could be an easy and reliable tool to distinguish between FHA-PCOM and PCOS-D patients, especially in situations where the clinical profile is not obvious.

Anti-Müllerian Hormone in Female Reproduction

Anti-Müllerian hormone (AMH), also called Müllerian inhibiting substance, was shown to be synthesized by the ovary in the 1980s. This article reviews the main findings of the past 20 years on the regulation of the expression of AMH and its specific receptor AMHR2 by granulosa cells, the mechanism of action of AMH, the different roles it plays in the reproductive organs, its clinical utility, and its involvement in the principal pathological conditions affecting women. The findings in respect of regulation tell us that AMH and AMHR2 expression is mainly regulated by bone morphogenetic proteins, gonadotropins, and estrogens. It has now been established that AMH regulates the different steps of folliculogenesis and that it has neuroendocrine effects. On the other hand, the importance of serum AMH as a reliable marker of ovarian reserve and as a useful tool in the prediction of the polycystic ovary syndrome (PCOS) and primary ovarian failure has also been acknowledged. Last but not least, a large body of evidence points to the involvement of AMH in the pathogenesis of PCOS.

Investigating the potential of clinical and biochemical markers to differentiate between functional hypothalamic amenorrhoea and polycystic ovarian syndrome: A retrospective observational study

OBJECTIVES

Functional hypothalamic amenorrhoea (FHA) is a common cause of amenorrhoea, but diagnosis can be challenging. The aim of this study was to investigate the clinical and biochemical features of FHA, compared to that of polycystic ovarian syndrome (PCOS) and assess the diagnostic performance of the different parameters for differentiating the two conditions.

DESIGN AND PATIENTS

This was a retrospective observational study. We analysed clinical and biochemical parameters of women diagnosed with FHA and PCOS following specialist assessment at the reproductive endocrine gynaecology clinic, St Mary's Hospital.

RESULTS

Compared with PCOS, women with FHA had significantly lower body mass index (BMI; 20.1 ± 2.9 vs. 31.1 ± 7.8 kg/m² ; p< .0001) and a thinner endometrium (3.75 ± 2.23 vs. 6.82 ± 3.32 mm; p< .0001). Women with FHA had significantly lower luteinising hormone (LH; 3.46 ± 7.31 vs. 8.79 ± 4.98 IU/L; p< .0001), and lower LH to follicle-stimulating hormone (FSH) ratio, estradiol, thyroid-stimulating hormone, free thyroxine and prolactin levels; there was no significant difference in FSH levels. BMI had the greatest predictive performance for FHA (area under the curve [AUC]: 0.93; p< .001), followed by estradiol (AUC: 0.89; p< .001), LH (AUC: 0.88; p< .001) and LH:FSH ratio (AUC: 0.86; p< .001).

CONCLUSIONS

Our data provides quantification for diagnostic accuracy of clinical parameters to differentiate FHA from PCOS, namely low BMI, estradiol, LH and LH:FSH ratio. These data could help clinicians more reliably diagnose FHA in women with secondary amenorrhoea.

Unravelling Polycystic Ovary Syndrome and Its Comorbidities

Polycystic ovary syndrome (PCOS) is a chronic multisystem endocrine disorder that affects women of reproductive age. In the ovary, the dynamic balance between dormant and growing follicles that culminates in ovulation becomes dysfunctional in the presence of excessive androgen production (ovarian/adrenal/peripheral). Moreover, hyperandrogenicity in pregnancy affects fetal development in utero and is linked to maternal pregnancy complications. Hormonal imbalance, ovarian dysfunction, and central obesity often emerge in these patients during adolescence. Once disordered physiological changes develop in PCOS, a vicious cycle ensues, leading to reproductive, metabolic, and psychological comorbidities. With the alarming increase of the number of young adults with a high degree of obesity in Korea, the prevalence of PCOS has also considerably increased. Timely and accurate screening, multicomponent healthy lifestyle modifications for both patients and family members, and comprehensive medical interventions based on international evidence-based guidelines are essential for curtailing PCOS and its comorbidities.

Clinical and biochemical discriminants between functional hypothalamic amenorrhoea (FHA) and polycystic ovary syndrome (PCOS)

BACKGROUND

Secondary oligo/amenorrhoea occurs in 3%-5% of women of reproductive age. The two most common causes are polycystic ovary syndrome (PCOS) (2%-13%) and functional hypothalamic amenorrhoea (FHA) (1%-2%). Whilst both conditions have distinct pathophysiology and their diagnosis is supported by guidelines, in practice, differentiating these two common causes of menstrual disturbance is challenging. Moreover, both diagnoses are qualified by the need to first exclude other causes of menstrual disturbance.

AIM

To review clinical, biochemical and radiological parameters that could aid the clinician in distinguishing PCOS and FHA as a cause of menstrual disturbance.

RESULTS

FHA is uncommon in women with BMI > 24 kg/m² , whereas both PCOS and FHA can occur in women with lower BMIs. AMH levels are markedly elevated in PCOS; however, milder increases may also be observed in FHA. Likewise, polycystic ovarian morphology (PCOM) is more frequently observed in FHA than in healthy women. Features that are differentially altered between PCOS and FHA include LH, androgen, insulin, AMH and SHBG levels, endometrial thickness and cortisol response to CRH. Other promising diagnostic tests with the potential to distinguish these two conditions pending further study include assessment of 5-alpha-reductase activity, leptin, INSL3, kisspeptin and inhibin B levels.

CONCLUSION

Further data directly comparing the discriminatory potential of these markers to differentiate PCOS and FHA in women with secondary amenorrhoea would be of value in defining an objective probability for PCOS or FHA diagnosis.

Revisiting the serum level of anti-Müllerian hormone in patients with functional hypothalamic anovulation

STUDY QUESTION

Are serum levels of anti-Müllerian hormone (AMH) normal in patients with functional hypothalamic anovulation (FHA)?

SUMMARY ANSWER

Our study confirms that in the general FHA population, serum AMH levels are not decreased, but if patients with polycystic ovarian morphology (PCOM) are excluded, levels become significantly lower, as in other situations of gonadotropic insufficiency.

WHAT IS KNOWN ALREADY

In most situations of low LH (physiological, pharmacological or pathological), serum AMH levels are low. However, paradoxically, many publications have reported normal or even increased serum AMH levels in FHA patients.

STUDY DESIGN, SIZE, DURATION

Retrospective observational study conducted in an academic centre. The data concerning the study population was collected between 2006 and 2015 from a database including clinical, biological and ultrasound information.

PARTICIPANTS/MATERIALS, SETTING, METHODS

A total of 45 FHA patients were compared to 37 controls matched based on age and body mass index (BMI). Serum LH, FSH, androstenedione, total testosterone, prolactin and AMH levels were measured by immunoassay. We defined PCOM with strict criteria: a follicle number per ovary (FNPO) ≥ 12 or ≥ 19 per ovary, depending on the date on which the assessment was carried out and the ultrasound device. An AMH level ≥ 35 pmol/l could be a substitute for an excess FNPO. Controls meeting these criteria were not included in this study.

MAIN RESULTS AND THE ROLE OF CHANCE

There was no significant difference in the ranges of AMH levels between FHA and controls. Using strict criteria to define PCOM status, 46.7% of FHA patients had PCOM. After excluding these patients, the levels of AMH were significantly lower (P < 0.002) in FHA patients compared to controls. Within the FHA group, patients with PCOM had significantly higher ranks of AMH levels and BMI than those without PCOM. However, within the PCOM+ subgroup, the ranks of LH, FSH and A levels were still lower than in controls (P  < 0.0001, <0.002 and <0.05, respectively). The positive correlation between AMH and LH was significant in the controls but not in the FHA group. However, in the FHA PCOM+, there was a strong positive correlation between BMI and LH.

LIMITATIONS, REASONS FOR CAUTION

This is a retrospective study; our controls did not represent the general population as they were recruited in an ART centre; we used a modified classification for PCOM using follicle count and/or AMH level with in-house thresholds to define the follicle excess; the AMH assay used is no longer commercially available.

WIDER IMPLICATIONS OF THE FINDINGS

Besides biasing the results of AMH assay in FHA patients, the presence of PCOM in FHA patients despite low gonadotropin and androgen levels raises the issue of epigenetically acquired amplification of androgen and/or FSH sensitivity within granulosa cells from polycystic ovaries. In terms of clinical practice, it seems important not to diagnose a low ovarian reserve in FHA patients too quickly on the basis of a decreased AMH level alone. On the contrary, a high AMH level in the context of a menstrual disorder and PCOM should not lead to a misdiagnosis of polycystic ovary syndrome (PCOS) if the basal LH is low.

STUDY FUNDING/COMPETING INTEREST(S)

None.

TRIAL REGISTRATION NUMBER

N/A.

Is Ovarian Reserve Impacted in Anorexia Nervosa?

STUDY OBJECTIVES

Hypothalamic amenorrhea is common in adolescents and young adults (AYAs) with anorexia nervosa (AN), and ovarian reserve is not routinely assessed. AN increases rates of fertility problems, but how or when AN negatively influences future fertility is unclear. We sought to determine whether biomarkers of ovarian reserve were impacted in AYA with AN.

DESIGN

Cross-sectional study.

SETTING

Tertiary care center.

PARTICIPANTS

Females with AN and amenorrhea (n = 97) at the pre-intervention visit of a clinical trial, n = 19 females without an eating disorder or menstrual dysfunction.

MAIN OUTCOME MEASURES

Serum anti-Müllerian hormone (AMH) concentrations.

RESULTS

AMH levels were higher in AYA with AN than unaffected adolescents (4.7 vs. 3.2 ng/mL; P = .03). Neither FSH nor inhibin B differed between groups. In 19.6% of participants with AN, AMH levels were elevated above the normal range (>6.78 ng/mL). These subjects had a longer disease duration than those with normal AMH levels (9 vs. 3 mos; P = .03); age or degree of malnutrition did not differ between AN subjects with normal or elevated AMH.

CONCLUSIONS

AMH levels appear to be normal or elevated in AYA with AN. Low AMH in a patient with AN should raise clinical concern regarding ovarian reserve, and should not be attributed to degree of malnutrition alone. Currently, AMH is not regularly assessed during routine AN clinical care. However, our findings suggest some clinical utility in identifying those patients with reduced ovarian reserve. Potential links between the hypothalamic amenorrhea suffered by patients with AN and PCOS should be explored.

Polycystic ovary syndrome, amenorrhea and the diagnostic role of anti-Müllerian hormone

The differential diagnosis of anovulatory disorders is actually based on serum gonadotrophin and estradiol levels. However, several other markers have been proposed. The purpose of this review was to underline the role of anti-Müllerian hormone (AMH) as a possible marker in differential diagnosis of the anovulatory diseases and its use as a predictive marker of prognosis. In this article we discuss clinical and experimental evidences actually existing in literature and we suggest new potential clinical application of AMH.

Ultrasonographic features of ovarian morphology capture nutritional and metabolic influences on the reproductive axis: implications for biomarker development in ovulatory disorders

Ultrasonographic imaging of ovarian morphology is used widely to inform reproductive health status in women. Metabolic disturbances induced by a negative energy balance (e.g. undernutrition) or positive energy balance (e.g. overnutrition, obesity) are known to drive or exacerbate reproductive dysfunction. Whether the utility of ultrasonographic metrics of ovarian morphology could be extended as biomarkers that detect and monitor the integration of metabolic and reproductive dysfunction is an emerging research area, and recent evidence is discussed. We note that unique variations in ovarian morphology emerge across the adiposity spectrum and highlight the potential for reproductive and metabolic 'tipping points' upon which such morphological variations may be detected on ultrasonography.

Use of AMH in the Differential Diagnosis of Anovulatory Disorders Including PCOS

Since the historical use of gonadotrophin and estradiol levels to define the different anovulatory disorders has shown some limitations, the use of other markers such as anti-müllerian hormone (AMH) has been proposed. This review addresses the role of AMH in the differential diagnosis of anovulatory disorders, especially focusing on its value in the prognostic characterization of their severity. Current limitations and future clinical applications are discussed.