Increased Body Mass Index Is Associated With A Nondilutional Reduction in Antimüllerian Hormone

The impact of obesity on reproductive health and metabolism in reproductive-age females

Obesity is a highly prevalent chronic disease that impacts >40% of reproductive-aged females. The pathophysiology of obesity is complex and can be understood simply as a chronic energy imbalance whereby caloric intake exceeds caloric expenditure with an energy surplus stored in adipose tissue. Obesity may be categorized into degrees of severity as well as different phenotypes on the basis of metabolic health and underlying pathophysiology. Obesity and excess adiposity have a significant impact on fertility and reproductive health, with direct effects on the hypothalamic-pituitary-ovarian axis, the ovary and oocyte, and the endometrium. There are significant adverse pregnancy outcomes related to obesity, and excess weight gain before, during, and after pregnancy that can alter the lifelong risk for metabolically unhealthy obesity. Given the high prevalence and pervasive impact of obesity on reproductive health, there is a need for better and individualized care for reproductive-aged females that considers obesity phenotype, underlying pathophysiology, and effective and sustainable interventions to treat obesity and manage weight gain before, during, and after pregnancy.

Increased body mass index is negatively associated with ovarian reserve as measured by anti-Müllerian hormone in patients with polycystic ovarian syndrome

Anti-Müllerian hormone (AMH) is commonly used as a marker of ovarian reserve. Although obesity is associated with decreased fertility, the relationship between body mass index (BMI) and AMH remains uncertain, hindering the accurate interpretation of AMH. We sought to assess the relationship between serum AMH and BMI in patients with and without polycystic ovarian syndrome (PCOS). This study analysed 500 patients at a single centre between 2020 and 2021. Patients were divided into cohorts: those with BMI <40 kg/m2 and those with BMI >40 kg/m2. Patients with and without PCOS were included. Chi-square tests, Fisher's exact tests, multiple linear regression analysis and independent t-tests were performed as appropriate. In the general study population, serum AMH was not significantly different in the BMI >40 kg/m2 group compared to the BMI <40 kg/m2 group (4.3 ± 5.6 vs. 4.3 ± 5.6, p = .35). Patient ages between these two groups differed, with an average age of 35.4 ± 5.4 years in the BMI <40 kg/m2 group and 33.7 ± 5.4 years in the BMI <40 kg/m2 group (p = .031). Our multivariate regression analysis, which adjusted for age, demonstrated a significant interaction effect between BMI and PCOS diagnosis, indicating that the relationship between BMI and AMH is dependent on PCOS status (β = -.03, 95% confidence interval [CI]: -0.05, 0.00, p = .044). In patients without PCOS, we found a non-significant relationship between AMH and BMI (β = .00, 95% CI -0.01, 0.01, p = .7); however, in patients with PCOS, AMH significantly decreased as BMI increased (β = -.03, 95% CI -0.06, 0.00, p = .034). BMI has an inverse association with AMH levels in patients with PCOS, indicating a need for future research to determine if that interaction represents a clinically significant negative effect on reproductive function.

A systematic review of the association between modifiable lifestyle factors and circulating anti-Müllerian hormone

BACKGROUND

Levels of anti-Müllerian hormone (AMH) are known to be associated with lifestyle determinants such as smoking and oral contraception (OC) use. When measuring AMH in clinical practice, it is essential to know which factors may influence circulating levels or ovarian reserve in general.

OBJECTIVE AND RATIONALE

To date, there is no systematic review or summarizing consensus of the nature and magnitude of the relation between AMH and modifiable lifestyle factors. The purpose of this review was to systematically assess the evidence on association of lifestyle behaviors with circulating AMH levels.

SEARCH METHODS

We performed a pre-registered systematic review of publications in Embase and PubMed on the lifestyle factors BMI, smoking, OC use, alcohol consumption, caffeine consumption, physical activity, and waist-hip ratio (WHR) in relation to circulating AMH levels up to 1 November 2023. The search strategy included terms such as 'Anti-Mullerian hormone', 'lifestyle', and 'women'. Studies were considered eligible if the association between at least one of the lifestyle factors of interest and AMH was assessed in adult women. The quality of included studies was assessed using the Study Quality Assessment Tools of the National Heart, Lung, and Blood Institute. The results were presented as ranges of the most frequently used association measure for studies that found a significant association in the same direction.

OUTCOMES

A total of 15 072 records were identified, of which 65 studies were eligible for inclusion, and 66.2% of the studies used a cross-sectional design. The majority of studies investigating BMI, smoking, OC use, and physical activity reported significant inverse associations with AMH levels. For WHR, alcohol, and caffeine use, the majority of studies did not find an association with AMH. For all determinants, the effect measures of the reported associations were heterogeneous. The mean difference in AMH levels per unit increase in BMI ranged from -0.015 to -0.2 ng/ml in studies that found a significant inverse association. The mean difference in AMH levels for current smokers versus non-smokers ranged from -0.4 to -1.1 ng/ml, and -4% to -44%, respectively. For current OC use, results included a range in relative mean differences in AMH levels of -17% to -31.1%, in addition to a decrease of 11 age-standardized percentiles, and an average decrease of 1.97 ng/ml after 9 weeks of OC use. Exercise interventions led to a decrease in AMH levels of 2.8 pmol/l to 13.2 pmol/l after 12 weeks in women with polycystic ovary syndrome or a sedentary lifestyle.

WIDER IMPLICATIONS

Lifestyle factors are associated with differences in AMH levels and thus should be taken into account when interpreting individual AMH measurements. Furthermore, AMH levels can be influenced by the alteration of lifestyle behaviors. While this can be a helpful tool for clinical and lifestyle counseling, the nature of the relation between the observed differences in AMH and the true ovarian reserve remains to be assessed.

REGISTRATION NUMBER

PROSPERO registration ID: CRD42022322575.

Jidong ovarian aging cohort study: Objective, design, and baseline characteristics

BACKGROUND

Ovarian aging is a continuous process comprising a gradual decrease in both the quantity and the quality of the oocytes. A decline in ovarian function leads to chronic disease and physiological problems. The aim of this study is to establish a cohort for the purpose of examining the ovarian aging process and its relationship with health status and quality of life in women across all age groups.

METHOD

This protocol outlines a community-based, prospective long-term observational study involving 1676 women recruited from Caofeidian District in Tangshan City, Hebei Province, China. Data are gathered by the administration of questionnaires, doing physical examinations, performing blood biochemistry tests, and measuring levels of female hormones. The primary outcomes will be the occurrence of cardiovascular disease, osteoporosis, hypertension, diabetes, hyperlipidemia, and other chronic diseases, assessed according to established diagnostic criteria for each disease. The secondary outcome will be the decline in quality of life during the follow-up period, assessed by the modified Kupperman Index. The study comprises a baseline cross-sectional assessment and a follow-up evaluation. The participants will undergo face-to-face interviews as part of their regular medical examinations until 2026 or until the occurrence of outcome events.

DISCUSSION

The results of the prospective study will indicate the association between ovarian aging and the prevalence of chronic diseases as well as diminished quality of life among women across different age categories.

The Relationship Between Anti-Müllerian Hormone and Body Composition Components in Patients With Polycystic Ovary Syndrome of Reproductive Age

To investigate and analyze the relationship between body composition components, including Body Mass Index (BMI), body fat percentage, waist-to-hip ratio, and visceral fat index, and Anti-Müllerian Hormone (AMH) levels in patients diagnosed with Polycystic Ovary Syndrome (PCOS), The study aims to provide a comprehensive understanding of how various aspects of body composition impact AMH levels. This study enrolled 167 women with PCOS of reproductive age. Serum AMH level and body composition were measured, and the correlation between body composition elements and AMH levels was analyzed. AMH level was negatively correlated with body weight, BMI, fat-free mass, body fat percentage, waist-hip ratio, and visceral fat level (P < 0.01). And negatively correlated with skeletal muscle ratio ( P = 0.003). AMH level remained significantly associated with BMI ( P = 0.028), body fat percentage ( P = 0.040), waist-hip ratio (P = 0.003), and visceral fat level ( P = 0.040) after age was included and a multiple linear regression model was established. After adjusting for age, BMI was still significantly associated with AMH (P = 0.029). At the same time, there was no obvious linear correlation between BSA and AMH. The results showed that AMH levels were significantly different among the three groups (9.53 ± 5.12 vs 6.98 ± 3.35 vs 6.38 ± 3.38, P < 0.001; ng/mL). The level of AMH in the non-central obesity group was higher than that in the central obesity group (9.68 ± 5.22vs7.09 ± 3.83, P < 0.001; ng/mL). In PCOS patients, those who are more obese have lower AMH levels, indicating poorer Ovarian Reserve. BMI may independently affect AMH levels, apart from age, BSA, and other factors. Ovarian function in centrally obese patients is poorer than in those with non-central obesity.

Utility of Serum Anti-Müllerian Hormone Measurement as Part of Polycystic Ovary Syndrome Diagnosis

The 2023 international evidence-based guideline update for the assessment and management of polycystic ovary syndrome (PCOS) recommends using the Rotterdam criteria for the diagnosis of PCOS. The updated guideline has evidence-based recommendation for the diagnosis, and it now also includes serum anti-Müllerian hormone (AMH) measurement as an alternative tool for gynecological ultrasound to diagnose polycystic ovary morphology (PCOM). The aim of this new recommendation was to facilitate PCOS diagnostic workup in primary care and other disciplines, as currently most diagnosing is done in gynecology and infertility clinics. Here, we review factors affecting AMH levels as well as the utility of AMH in PCOS diagnosis. We identified relevant studies that report different cut-offs for AMH to diagnose PCOM as part of PCOS diagnosis. There are, however, some limitations when using AMH that should be acknowledged. These include physiological aspects like age, ethnicity, and obesity and iatrogenic causes like hormonal medication and ovarian surgery. Also reference ranges are different depending on AMH assay used. As a summary, we conclude that AMH is a usable tool in PCOM diagnostics, but it does not have a single cut-off. Therefore, further studies are needed to establish age and assay-based reference ranges.

Antimullerian Hormone, a Marker of Ovarian Reserve, Is Protective Against Presence and Severity of NASH in Premenopausal Women

BACKGROUND & AIMS

Antimüllerian hormone (AMH) is a marker of ovarian reserve with emerging data linking lower levels to some metabolic and inflammatory diseases in women. Whether AMH levels influence nonalcoholic fatty liver disease (NAFLD) is unknown.

METHODS

Leveraging the NASH Clinical Research Network we determined the association of AMH levels within 6 months of liver biopsy with presence and severity of histologic measures of NAFLD in premenopausal women. Outcomes included presence of nonalcoholic steatohepatitis (NASH), presence and severity of fibrosis, and NAFLD Activity Score and its components. Logistic and ordinal logistic regression models were adjusted for age, race/ethnicity, homeostatic model assessment for insulin resistance, body mass index, dyslipidemia, polycystic ovary syndrome, estrogen-progestin use, and menstrual cyclicity.

RESULTS

Median cohort age was 35 years; 73% were white and 24% Hispanic. Thirty-three percent had diabetes, 81% had obesity, and 95% had dyslipidemia. On biopsy 71% had NASH, 68% had any fibrosis, and 15% had advanced fibrosis. On adjusted analysis (n = 205), higher AMH quartiles were inversely associated with NAFLD histology including prevalent NASH (adjusted odds ratio [AOR], 0.64; 95% confidence interval [CI], 0.41-1.00), NAFLD Activity Score ≥5 (AOR, 0.52; 95% CI, 0.35-0.77), Mallory hyaline (AOR, 0.54; 95% CI, 0.35-0.82), and higher fibrosis stage (AOR, 0.70; 95% CI, 0.51-0.98). The protective effects of AMH were more pronounced among women without polycystic ovary syndrome (n = 164), including lower odds of NASH (AOR, 0.53; 95% CI, 0.32-0.90) and any NASH fibrosis (AOR, 0.54; 95% CI, 0.32-0.93).

CONCLUSIONS

AMH may reflect a unique biomarker of NASH in premenopausal women and findings suggest a novel link between reproductive aging and histologic severity of NAFLD in women.

Leuprolide Protects Ovarian Reserve in Adolescents Undergoing Gonadotoxic Therapy

Purpose: Treatment sequelae compromising reproductive health are highly prevalent in childhood cancer survivors, and a main determinant of health and quality of life. Follicular reserve determines ovarian function life span; thus, its preservation is important in the care of female survivors. Anti-Müllerian hormone (AMH) is a biomarker to measure functional ovarian reserve. We aimed to evaluate the effect of leuprolide during gonadotoxic therapy on pubertal females' post-treatment functional ovarian reserve using AMH levels. Methods: We conducted a single-center retrospective study including all pubertal females who had undergone gonadotoxic treatments between January 2010 and April 2020, and had an AMH level after completion of therapy. We used multivariable linear regressions to compare AMH-level beta coefficients in patients stratified by gonadotoxic risk, adjusting for leuprolide use. Results: Fifty-two females meeting study eligibility were included, of which 35 received leuprolide. The use of leuprolide was associated with higher post-treatment AMH levels in the lower gonadotoxic risk group (beta 2.74, 95% CI 0.97-4.51; p = 0.004). This association was lost in the higher gonadotoxic risk groups. Conclusions: Leuprolide may have a protective effect on the functional ovarian reserve. However, this is limited by increasing treatment gonadotoxicity. Larger, prospective studies are needed to elucidate the potential benefits of gonadotropin-releasing hormone agonist on preservation of ovarian reserve among children receiving gonadotoxic therapies, as cancer survivors.

Evaluation of the relations between reproduction-related pituitary and ovarian hormones and abdominal fat area-related variables determined with computed tomography in overweight or obese women who have undergone bariatric surgery: a cross-sectional study

Background

An understanding of the associations between midregion fat depots and systemic hormone levels will be crucial for developing health-promotion messages aimed at overweight or obese women. However, related research in this area is rare. The present study was performed to identify and quantify fat-related reproduction pituitary and ovarian hormones in overweight or obese women.

Methods

A total of 250 eligible overweight or obese women scheduled to undergo laparoscopic sleeve gastrectomy (LSG) from a single center were retrospectively included in this study. Computed tomography (CT) images at the level of the umbilicus were selected, and abdominal fat areas were measured and calculated. The reproduction-related pituitary and ovarian hormones were also measured. The correlations among the parameters were examined using Spearman correlation test. Multiple linear regression analysis was performed after log and β-transformation of the hormone levels and fat area-related variables.

Results

Positive correlations were detected for prolactin (PRL) with total fat area (TFA) [β=0.045; P=0.029; 95% confidence interval (CI): 0.004-0.085] and subcutaneous fat area (SFA) (β=0.066; P=0.023; 95% CI: 0.009-0.123), whereas estradiol showed a negative correlation with visceral fat area (VFA) (β=-0.056, P=0.005; 95% CI: -0.096 to -0.017) and relative VFA (rVFA) (β=-0.068; P=0.001; 95% CI: -0.109 to -0.027) and a positive correlation with SFA (β=0.036; P=0.042; 95% CI: 0.001-0.071). Progesterone (PROG) was negatively correlated with both VFA (β=-0.037; P=0.002; 95% CI: -0.061 to -0.013) and rVFA (β=-0.039; P=0.002; 95% CI: -0.063 to -0.014). The final results revealed that TFA was increased by 3.1% and SFA was increased by 4.7% with a doubling of PRL concentration; VFA was reduced by 2.5% and rVFA was reduced by 2.6% with a doubling of PROG concentration; and VFA was reduced by 3.8%, rVFA was reduced by 4.6%, and SFA was increased by 2.5% with a doubling of estradiol concentration.

Conclusions

There exist certain associations between some reproduction-related pituitary and ovarian hormones and fat areas. Our findings provide new insights into the associations between midregion fat depots and systemic hormone levels in overweight or obese women.

AMH in Males: Effects of Body Size and Composition on Serum AMH Levels

Serum concentrations of anti-Müllerian hormone (AMH) have been found to decrease with increasing body mass index (BMI) in many studies. It is not yet clear whether this stems from an adverse effect of adiposity on AMH production, or from dilution due to the greater blood volume that accompanies a larger body size. To investigate a possible hemodilution effect, we explored the relationships between serum AMH levels and different parameters of body composition using linear regression models in a cohort of adult males. Body weight, lean mass (LM), and body surface area (BSA) were found to be better predictors of AMH than measures of adiposity, such as BMI or fat mass. Since both LM and BSA correlate with plasma volume better than adipose tissue, we conclude that hemodilution of AMH does occur in adult males and should be considered for normalization in future studies.

Serum anti-müllerian hormone (AMH) concentration during pregnancy: a longitudinal study

A prospective longitudinal cohort study aimed to longitudinally examine the kinetics of Anti-müllerian hormone (AMH) during the first two trimesters of pregnancy. Pregnant women with stored 1st trimester serum samples were recruited at 24-28 weeks gestation during their gestational diabetes testing, where they provided an additional serum sample. The samples were analysed for AMH, oestradiol and progesterone concentrations. A decrease in serum AMH was observed in 40 out of 45 (88.9%) (95% CI 75.9% to 96.3%) of the participants in this study. The median serum AMH concentration was 10.9 pmol/L in the 1st trimester and 6.5 pmol/L during the 2nd trimester, with a significantly different distribution of the values between the 1st and the 2nd trimester AMH samples (p<0.001). The median percentage of AMH difference of -39.8%. This study demonstrated a significant decrease in serum AMH levels from the 1st to the 2nd trimester of pregnancy. The absolute decrease in AMH levels seems to be positively associated with 1st trimester AMH levels, whereas the percentage of AMH difference is not. Further studies are required to elucidate the potential physiological mechanisms of this finding.

The reference value of anti-Müllerian hormone to diagnose polycystic ovary syndrome is inversely associated with BMI: a retrospective study

BACKGROUND

This study aimed to evaluate the cut-off value of anti-Müllerian hormone (AMH) combined with body mass index (BMI) in the diagnosis of polycystic ovary syndrome (PCOS) and polycystic ovary morphology (PCOM).

METHODS

This retrospective study included 15,970 patients: 3775 women with PCOS, 2879 women with PCOM, and 9316 patients as controls. Multivariate logistic regression analysis was used to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for AMH. We randomly divided the patients into two data sets. In dataset 1, a receiver operating characteristic (ROC) curve was generated to analyze the accuracy of basic AMH levels in diagnosing PCOS and PCOM. The optimal cut-off value was calculated in dataset 1 and validated in dataset 2, expressed as sensitivity and specificity.

RESULTS

In the PCOS group, obese patients had the lowest AMH levels, while underweight patients had the highest AMH level (P < 0.001). After adjusting for age, the ratio of luteinizing hormone (LH) and follicle stimulating hormone (FSH), serum testosterone level, and BMI, AMH was an independent predictor of PCOS and PCOM. In the group with BMI < 18.5 kg/m², the optimistic AMH cut-off value was 5.145 ng/mL with a sensitivity of 84.3% and specificity of 89.1%, whereas in the BMI ≥ 28 kg/m² group, the optimistic AMH cut-off value was 3.165 ng/mL with a sensitivity of 88.7% and specificity of 74.6%. For the BMI range categories of 18.5-24, 24.0-28 kg/m², the optimistic AMH cut-off values were 4.345 ng/mL and 4.115 ng/mL, respectively. The tendency that the group with lower weight corresponded to higher AMH cut-off values was also applicable to PCOM. In the same BMI category, patients with PCOM had a lower AMH diagnosis threshold than those with PCOS (< 18.5 kg/m², 5.145 vs. 4.3 ng/mL; 18.5-24 kg/m², 4.345 vs. 3.635 ng/mL; 24.0-28 kg/m², 4.115 vs. 3.73 ng/mL; ≥ 28 kg /m², 3.165 vs. 3.155 ng/mL). These cut-off values had a good diagnostic efficacy in the validation dataset. Based on different phenotypes and severity of ovulation disorders, the distribution of AMH in PCOS were also significantly different (P < 0.001).

CONCLUSIONS

AMH is a potential diagnostic indicator of PCOS and is adversely associated with BMI. The AMH cut-off value for diagnosing PCOS was significantly higher than that for PCOM.

The relationship between anti-Müllerian hormone, body mass index and weight loss: A review of the literature

Anti-Müllerian hormone (AMH) is commonly used as a proxy for ovarian reserve due to its secretion by antral follicles. It is considered a metric for prediction of ovarian response to certain assisted reproduction therapies. As obesity has a negative impact on fertility, it is important to establish whether obesity-induced hormonal changes influence AMH levels, if and how weight loss affects AMH, and if that influence represents altered reproductive function. The aim of this study was to review the existing literature on the effects of body mass index and weight loss on AMH levels. A PubMed literature keyword search with relevant terms was performed to identify studies that have reported on the AMH/BMI relationship in cohorts with or without polycystic ovarian syndrome (PCOS). A second search was performed to gather publications on weight loss and AMH. Both searches were filtered for all full-text, English-language, adult-female and human-only literature through 1 January 2022. The relationship between AMH and body mass index (BMI) in reproductive-aged women remains inconclusive, with studies in women with and without PCOS producing mixed results. Research in this area is currently limited by failure to analyse the full spectrum of obesity, hindering generalization to a global population increasingly affected by the condition. Some authors pointed to evidence of race/ethnicity as a confounding factor of the relationship, but results between studies are contradictory. Limited evidence on weight loss suggests it may decrease AMH levels despite improving fertility outcomes, particularly after bariatric surgery. The impact of BMI and weight loss on AMH levels has not been conclusively established. Future studies will require appropriate design and sample size calculations, consideration for additional potential confounding factors and inclusion of higher BMIs and a thorough analysis of the full range of obesity.

Evaluation of Female Fertility-AMH and Ovarian Reserve Testing

CONTEXT

Evaluation of the infertile female requires an understanding of ovulation and biomarkers of ovarian reserve. Antimüllerian hormone (AMH) correlates with growing follicles in a menstrual cycle. Increasingly, AMH has been used as a "fertility test." This narrative review describes how to integrate the use of AMH into diagnosis and treatment.

METHODS

A PubMed search was conducted to find recent literature on measurements and use of serum AMH as a marker of ovarian reserve and in treatment of infertility.

RESULTS

Serum AMH estimates ovarian reserve, helps determine dosing in ovarian stimulation, and predicts stimulation response. As such, AMH is a good marker of oocyte quantity but does not reflect oocyte health or chances for pregnancy. Screening of AMH before fertility treatment should be used to estimate expected response and not to withhold treatment. Low AMH levels may suggest a shortened reproductive window. AMH levels must be interpreted in the context of the endogenous endocrine environment where low follicle-stimulating hormone, due to hypogonadotropic hypogonadism or hormonal contraceptive use, may lower AMH without being a true reflection of ovarian reserve. In addition, there is an inverse correlation between body mass index and AMH that does not reflect ovarian response.

CONCLUSION

AMH is a useful marker of ovarian reserve in reproductive-aged women. Increased screening of noninfertile women requires a thorough knowledge of situations that may affect AMH levels. In no situation does AMH reflect oocyte health or chances for conception. Age is still the strongest driver in determining success rates with fertility treatments.

Long-term antimüllerian hormone patterns differ by cancer treatment exposures in young breast cancer survivors

OBJECTIVE

To compare antimüllerian hormone (AMH) patterns by cancer status and treatment exposures across 6 years after incident breast cancer using administrative data.

DESIGN

In a cross-sectional design, AMH levels in patients who developed incident breast cancer between ages 15-39 years during 2005-2019 were matched 1:10 to levels in females without cancer in the OptumLabs Data Warehouse. Modeled AMH patterns were compared among cyclophosphamide-based chemotherapy, non-cyclophosphamide-based chemotherapy, no chemotherapy, and no breast cancer groups.

SETTING

Commercially insured females in the United States.

PATIENT(S)

Females with and without breast cancer.

EXPOSURE(S)

Breast cancer, cyclophosphamide- and non-cyclophosphamide-based chemotherapy.

MAIN OUTCOME MEASURE(S)

AMH levels.

RESULT(S)

A total of 233 patients with breast cancer (mean age, 34 years; standard deviation, 3.7 years) contributed 278 AMH levels over a median of 2 years (range, 0-6.7 years) after diagnosis; 52% received cyclophosphamide-based chemotherapy, 17% received non-cyclophosphamide-based chemotherapy (80% platinum-based), and 31% received no chemotherapy. A total of 2,777 matched females without cancer contributed 2,780 AMH levels. The pattern of AMH levels differed among the 4 groups. Among females without cancer and breast cancer survivors who did not undergo chemotherapy, AMH declined linearly over time. In contrast, among those who received cyclophosphamide-based and noncyclophosphamide-based chemotherapy, a nonlinear pattern of AMH level of initial fall during chemotherapy, followed by an increase over 2-4 years, and then by a plateau over 1-2 years before a decline was observed.

CONCLUSION(S)

In breast cancer survivors, AMH levels from administrative data supported ovarian toxicity of non-cyclophosphamide-based chemotherapy in breast cancer and efficiently depicted the timing and duration of changes in ovarian reserve to reflect the residual reproductive lifespan.

Anti-Müllerian hormone was independently associated with central obesity but not with general obesity in women with PCOS

OBJECTIVE

Anti-Müllerian hormone (AMH) is recognized as the most important biomarker for ovarian reserve. In this cross-sectional study, we aimed to explore the potential association of AMH with central obesity or general obesity in women with polycystic ovary syndrome (PCOS).

METHODS

In this cross-sectional study, 179 patients with PCOS were enrolled and underwent anthropometric measurements (BMI and waist circumference (WC)) and serum AMH level detection. Pearson's correlation and multivariable logistic regression analyses were performed to determine the associations of AMH with central obesity and general obesity.

RESULTS

Subjects with increasing BMI showed significantly lower values of AMH (median (interquartile range (IQR)) 8.95 (6.03-13.60) ng/mL in normal weight group, 6.57 (4.18-8.77) ng/mL in overweight group, and 6.03 (4.34-9.44) ng/mL in obesity group, P = 0.001), but higher levels of systolic blood pressure, fasting insulin, total cholesterol, triglycerides, LDL-c, obesity indices (WC, hip circumferences, waist-to-hip ratio, waist-to-height ratio (WHtR), and Chinese visceral adiposity index (CVAI)). Compared with the group of PCOS women without central obesity, the group with central obesity had significantly lower value of AMH (median (IQR) 8.56 (5.29-12.96) ng/mL vs 6.22 (4.33-8.82) ng/mL; P = 0.003). Pearson's correlation analysis showed that AMH was significantly and negatively correlated with BMI (r = -0.280; P < 0.001), WC (r = -0.263; P < 0.001), WHtR (r = -0.273; P < 0.001), and CVAI (r = -0.211; P = 0.006). Multivariate logistic regression analysis with adjustment for potential confounding factors showed that AMH was independently and negatively associated with central obesity but was not significantly associated with general obesity.

CONCLUSIONS

AMH was independently and negatively associated with central obesity. Closely monitoring the WC and AMH should be addressed in terms of assessing ovarian reserve in women with PCOS.

Intra- and inter-cycle variability of anti-Müllerian hormone (AMH) levels in healthy women during non-consecutive menstrual cycles: the BICYCLE study

OBJECTIVES

Determine variability of serum anti-Müllerian hormone (AMH) levels during ovulatory menstrual cycles between different women (inter-participant), between non-consecutive cycles (inter-cycle) and within a single cycle (intra-cycle) in healthy women.

METHODS

Eligible participants were women aged 18-40 years with regular ovulatory menstrual cycles. Serum samples were collected every second day during two non-consecutive menstrual cycles. AMH levels were measured in triplicate using the Elecsys^® AMH Plus immunoassay (Roche Diagnostics). AMH level variability was evaluated using mixed-effects periodic regression models based on Fourier series. The mesor was calculated to evaluate inter-participant and inter-cycle variability. Inter- and intra-cycle variability was evaluated using peak-to-peak amplitudes. Separation of biological and analytical coefficients of variation (CVs) was determined by analysing two remeasured AMH levels (with and without original AMH levels).

RESULTS

A total of 47 women were included in the analysis (42 assessed over two cycles; five one cycle only). CV of unexplained biological variability was 9.61%; analytical variability was 3.46%. Inter-participant variability, given by time-series plots of AMH levels, was greater than inter-cycle variability. Between individual participants, both mesor and peak-to-peak amplitudes proved variable. In addition, for each participant, intra-cycle variability was higher than inter-cycle variability.

CONCLUSIONS

Inter-participant and intra-cycle variability of AMH levels were greater than inter-cycle variability. Unexplained biological variability was higher than analytical variability using the Elecsys AMH Plus immunoassay. Understanding variability in AMH levels may aid in understanding differences in availability of antral ovarian follicles during the menstrual cycle, which may be beneficial in designing gonadotropin dosage for assisted reproductive technology.

Impact of age and menopausal stage on serum anti-Müllerian hormone levels in middle-aged women

OBJECTIVE

This study aimed to evaluate the association between age, menopausal stage and serum anti-Müllerian hormone (AMH) levels in middle-aged women.

METHODS

In this cross-sectional study, the serum AMH levels of 288 healthy women aged 40-55 years (divided into age groups: 40-44, 45-49 and 50-55 years) were evaluated. Stages of Reproductive Aging Workshop + 10 criteria were used to categorize these women into menopausal stages: late reproductive, menopausal transition and early postmenopausal stages. The impact of age, menopausal stage and hormone replacement therapy on serum AMH levels was analyzed using multi-factor analysis of variance. Effects of body mass index, smoking status and oral contraceptive use were simultaneously considered.

RESULTS

The median AMH level was 0.140 ng/ml. Log-AMH levels varied according to age group (variance = 20.113, F = 88.538, p < 0.001) and menopausal stage (variance = 5.543, F = 24.501, p < 0.001). An exponential model defined as AMH = 227,421.757 × e^{(-0.301 × age)} was fit to describe the decline in AMH level with age. The 5th-95th percentiles of the AMH levels ranged from less than 0.020 to 3.150, less than 0.020 to 1.944 and less than 0.020 to 0.030 ng/ml in the aforementioned menopausal stages, respectively.

CONCLUSION

Age and menopausal stage were associated with AMH levels; age had a greater impact on AMH than menopausal stage in middle-aged women.

Impact of Obesity on Anti-Mullerian Hormone (AMH) Levels in Women of Reproductive Age

Obesity negatively impacts reproductive health, including ovarian function. Obesity has been posited to alter Anti-Müllerian hormone (AMH) production. Understanding biological factors that could impact AMH levels is necessary given the increasing use of AMH for predicting reproductive health outcomes in response to controlled ovarian stimulation, diagnosing ovulatory disorders, onset of menopause, and natural conception. In this narrative review, we evaluated the impact of obesity on AMH levels in healthy, regularly cycling reproductive-age women (18-48 years). Thirteen studies (n = 1214 women; (811, non-obese (body mass index; BMI < 30 kg/m2); 403, obese (BMI > 30 kg/m2))) were included, of which five reported decreased AMH levels with obesity, whereas eight showed comparable AMH levels between groups. Inclusion of women with higher obesity classes (Class 3 versus Class 1) may have been a factor in studies reporting lower AMH levels. Together, studies reporting AMH levels in otherwise healthy women remain limited by small sample sizes, cross-sectional designs, and lack of representation across the entire adiposity spectrum. Ultimately, the degree to which obesity may negatively impact AMH levels, and possibly ovarian reserve, in otherwise healthy women with regular menstrual cycles should be deemed uncertain at this time. This conclusion is prudent considering that the biological basis for an impact of obesity on AMH production is unknown.

High Serum Anti-Müllerian Hormone Concentrations Are Associated With Poor Pregnancy Outcome in Fresh IVF/ICSI Cycle but Not Cumulative Live Birth Rate in PCOS Patients

OBJECTIVE

To investigate the association between baseline serum Anti-Müllerian hormone (AMH) levels and IVF/ICSI outcomes in women with polycystic ovary syndrome (PCOS).

DESIGN

Retrospective study.

SETTING

Reproductive medicine center in a hospital.

POPULATION

2436 PCOS patients (Rotterdam criteria) who underwent their first fresh IVF/ICSI cycles were divided into three groups on the basis of the <25th (Group 1, n=611), 25 to 75th (Group 2, n=1216), or >75th (Group 3, n=609) percentile of baseline serum AMH level.

INTERVENTIONS

Baseline serum AMH levels measured on the 2-3 days of spontaneous menstrual cycle before IVF/ICSI treatment.

MAIN OUTCOME MEASURES

Live birth rate (LBR), cumulative live birth rate (CLBR), clinical pregnancy rate (CPR), and normal fertilization rate (FR).

RESULTS

The LBR, CPR, and FR were significantly increased in Group 1 than Group 2 and Group 3, however, CLBR was similar between the three groups. The LBR were 46.6%, 40.5%, and 39.4% in Group 1, Group 2, and Group 3 respectively. The CPR were 53.0%, 47.0%, and 45.5%, respectively. The FR was highest in Group 1 (61.7%, P<0.05), but there was no uniform reverse trend with the AMH level. CLBR were 68.7%, 70.4%, and 71.3%, respectively. Although women in Group 1 were older (p < 0.05) and had higher body mass index (BMI) (p < 0.05), binomial logistic regression analysis used age, BMI, FSH, and AMH as independent variables indicated that only AMH was significantly associated with LBR and CPR. Nevertheless, binomial logistic regression analysis used age, BMI, FSH, AMH, and the number of retrieved oocytes as independent variables indicated that only the number of retrieved oocytes was significantly correlated with CLBR. After stratifying by age, the negative relationship between baseline AMH level and LBR and CPR remained only in the patients <30 years old.

CONCLUSIONS

Higher baseline AMH level in PCOS women resulted in lower LBR, CPR, and FR but did not influence CLBR.

Serum Anti-Müllerian Hormone Levels Were Negatively Associated With Body Fat Percentage in PCOS Patients

BACKGROUND

Obesity is a state of excess body fat accumulation, and appears to be closely associated with polycystic ovary syndrome (PCOS). Notably, plausible biological pathways through which obesity can regulate anti-Müllerian hormone (AMH) production have been proposed, and women with PCOS characteristically have an increased AMH level. Body fat accumulation can be described by body fat percentage (BFP). However, the relationship between BFP and AMH still remains unclear.

MATERIALS AND METHODS

A total of 87 controls and 156 PCOS patients were divided into lean and overweight/obese groups, and the PCOS patients were further divided into hyper-AMH and normal-AMH subgroups. Univariate regression was used to assess the unadjusted relationship between AMH and outcome variables, multivariable regression analysis was performed to test whether and how serum AMH levels were associated with BFP after adjusting for other co-variables. Receiver-operating characteristic (ROC) curve analyses were used to test the utility of BFP for the diagnosis of PCOS.

RESULTS

BFP was higher in PCOS patients compared with controls, regardless of obesity. Serum AMH levels were negatively associated with BFP in the PCOS group (r = -0.371; P < 0.001) but not in the control group (r = -0.095; P = 0.385). Multivariable logistic regression analysis showed that elevated BFP was associated with a high risk of PCOS (odds ratio, 1.290; 95% confidence interval, 1.084-1.534, P = 0.004). Furthermore, the combination of BFP and serum AMH into a multivariate model gave an improved area under the curve (AUC) of 88.5%, with a sensitivity of 72.4% and specificity of 87.4%; the positive and negative predictive values were 91.2% and 63.9%, respectively. One limitation of this study is all the conclusion reported was based on small sample size.

CONCLUSIONS

Herein, we described the negative correlation between BFP and serum AMH levels for the first time, and the present results highlight the importance of further investigation into the role of BFP, especially in body fat-related AMH change as it relates to the underlying pathogenesis of PCOS.

Ethnicity/Race and Age-Specific Variations of Serum AMH in Women-A Review

PURPOSE OF REVIEW

In this review, we summarize ethnic/race- and age-related variation in AMH and discuss the underpinnings behind these differences.

RECENT FINDINGS

Anti-mullerian hormone (AMH) has become a widely used method of ovarian reserve testing over the last 15 years. Numerous studies have shown substantial ethnic/race and age-related differences. When compared to age-matched Caucasian women, AMH levels tend to be lower in black and Hispanic women. Chinese women tend to have significantly greater AMH levels prior to age 25 than Caucasian women. When considering subpopulations within ethnicities, at least one study noted lower AMH levels among Maya women compared to other Hispanic women. Age exhibits a positive trend with AMH up until at least 25 years of age with a consistent decline after 34 years of age extending to menopause.

SUMMARY

AMH levels are highly variable among ethnicities and race with higher age-matched levels typically seen in Caucasian women. Age does not exhibit a consistent linear relationship with AMH, but a consistent decline is seen starting in the third decade of life and proceeding to menopause.