Serum anti-müllerian hormone concentrations in reproductive age women with and without polycystic ovary syndrome: the influence of body mass index

Association of body mass index with serum anti-Müllerian hormone and inhibin B levels among 8323 women attending a reproductive medical center: a cross-sectional study

PURPOSE

To assess the association of body mass index (BMI) with serum anti-Müllerian hormone (AMH) and inhibin B (InB) levels among women attending a reproductive medical center.

METHODS

We conducted a cross-sectional study of 8323 women (96.4% were Han race) without polycystic ovary syndrome (PCOS) from the reproductive medical center of Tongji Hospital in Wuhan, China for assisted reproductive technology treatment between January 2016 and May 2018. For each participant, BMI and levels of serum AMH and InB were measured at entry by trained clinical technicians. Multivariate linear regression models were used to quantitatively estimate the associations of continuous and categorical BMI with serum AMH and InB levels.

RESULTS

Each 1 kg/m² increase in BMI was significantly associated with a 1.02% (95% CI: 0.40, 1.65%) and 3.59% (3.11, 4.06%) reduction in AMH and InB levels, respectively. No departure from linearity was observed for either AMH or InB (both P for nonlinear trend >0.05). Overweight and obesity were significantly associated with a 6.01% (0.70, 11.04%) and 18.64% (2.29, 32.26%) reduction in AMH level, and were significantly associated with a 18.80% (15.23, 22.23%) and a 35.44% (25.47, 44.08%) reduction in InB level, respectively. In addition, the association between BMI and AMH level was significantly stronger among women ≥32 years.

CONCLUSIONS

BMI was linearly and inversely associated with AMH and InB levels among women without PCOS. Both overweight and obesity were significantly associated with lower AMH and InB levels.

The appraisal of body content (ABC) trial: obesity does not significantly impact gamete production in infertile men and women

PURPOSE

As obesity becomes increasingly prevalent, its impact on fertility has been a subject of great debate. Nearly all prior research is retrospective and evaluates obesity utilizing body mass index (BMI), which may overestimate adiposity in individuals with a greater amount of lean muscle and underestimate adiposity in those with less muscle mass.

METHODS

We prospectively evaluated 2013 couples undergoing infertility treatment with in vitro fertilization (IVF). Percent body fat (%BF) was measured by use of a bioelectric impedance analysis (BIA) scale at baseline. BMI was also determined. Ovarian reserve parameters, ovarian response to controlled ovarian hyperstimulation, and semen analyses were measured in correlation with their %BF and BMI.

RESULTS

Females classified as obese based on %BF or BMI had lower serum FSH. However, when the analysis was limited to women without PCOS (n = 1706), obesity based on %BF or BMI was associated with lower serum AMH. Female obesity-regardless of a PCOS diagnosis-did not affect number of mature oocytes retrieved. Males who were in obese %BF category were found to have lower TMSC compared with normal weight counterparts (p < 0.05); however, the observed decrease was not significant enough to limit the success of assisted reproductive technologies.

CONCLUSIONS

These findings suggest that while obesity may affect ovarian reserve in women variably depending on presence of PCOS, it does not affect number of mature oocytes available after COH. Similarly, while a high %BF in males is associated with lower TMSC, the observed difference is unlikely to affect IVF outcomes.

Serum Anti-Müllerian Hormone in Polycystic Ovary Syndrome and its Relationship with Insulin Resistance, Lipid Profile and Adiponectin

OBJECTIVES

This study was done to estimate serum anti-Müllerian hormone (AMH) level in polycystic ovary syndrome (PCOS) patients and to correlate serum AMH level with insulin resistance, lipid profile, and adiponectin levels.

MATERIALS AND METHODS

A cross-sectional study was conducted at Hospital Universiti Sains Malaysia (Hospital USM), Health Campus, Kubang Kerian, Kelantan, Malaysia. Thirty newly diagnosed patients with PCOS attending gynecology clinic between July 2016 and April 2017 were recruited. Fasting venous blood samples were collected from the subjects. Serum AMH, insulin, adiponectin, triglycerides, high-density lipoprotein cholesterol (HDL-C), and plasma glucose levels were measured, and insulin resistance was calculated based on homeostasis model of assessment-insulin resistance (HOMA-IR). The serum AMH level was estimated, and the correlation of serum AMH level with the metabolic parameters was analyzed.

RESULTS

The median of serum AMH levels in women with PCOS was 6.8 ng/mL (interquartile range: 7.38 ng/mL). There was a significant negative correlation between serum AMH and HOMA-IR or triglyceride levels (r = -0.49, P = 0.006 and r = -0.55, P = 0.002, respectively). A significant positive correlation was observed between serum AMH and serum HDL-C or serum adiponectin levels (r = 0.56, P = 0.001 and r = 0.44, P = 0.014, respectively) in all study subjects.

CONCLUSION

The serum AMH level is associated with HOMA-IR, triglycerides, HDL-C, and adiponectin levels, and hence it may be used as a potential cardiometabolic risk marker in women with PCOS.

Is ovarian reserve associated with body mass index and obesity in reproductive aged women? A meta-analysis

OBJECTIVE

The associations of body mass index (BMI) and obesity with ovarian reserve are controversial. This systematic review and meta-analysis was conducted to investigate the associations in reproductive-aged women.

METHODS

PubMed and Scopus were searched up to December, 2016. Original studies on the association of BMI with ovarian reserve markers, anti-Mullerian hormone (AMH), follicle-stimulating hormone (FSH), inhibin β, and antral follicle count (AFC), either according to BMI categories or a continuous variable, were selected. Analyses were stratified into three groups based on polycystic ovary syndrome (PCOS) and fertility status of women.

RESULTS

Of 4,055 records identified, 45 studies were eligible for inclusion. Comparing the obese with nonobese, the pooled mean differences (MDs) and 95% confidence intervals (CIs) were -1.08 (95% CIs -1.52, -0.63) ng/mL for AMH, -0.22 (95% CIs -0.39, -0.06) mIU/mL for FSH, -0.09 (95% CIs -0.60, 0.42) for AFC, and -21.06 (95% CIs -41.18, -0.85) pg/mL for inhibin β in overall populations. The MDs were significant for AMH in fertile non-PCOS and PCOS women, and for FSH only in PCOS women. Fisher's Z showed significant correlations of BMI with AMH in the overall populations (-0.15 [95% CIs -0.20, -0.11]) and in all subgroups, and with FSH in the fertile non-PCOS women (-0.16 [95% CIs -0.28, -0.04]).

CONCLUSION

Ovarian reserve markers of AMH and FSH are significantly lower in obese than in nonobese women, and BMI is negatively correlated with AMH in all study populations, and with FSH in fertile non-PCOS subgroups. PCOS and fertility status do not appear to affect the associations.

Age-related nomograms of serum anti-Mullerian hormone levels in female monkeys: Comparison of rhesus (Macaca mulatta) and cynomolgus (Macaca fascicularis) monkeys

AMH is regarded as a promising predictor for ovarian reserve in humans and non-human primate, and widely used in human medicine to predict ovarian response to gonadotropin, menopause and premature ovarian failure. However, large data set on the range of AMH levels in nonhuman primates is still scarce, which limited its applications largely. In this study, age-related AMH nomograms of rhesus (Macaca mulatta) and cynomolgus (Macaca fascicularis) were produced and compared. 219 rhesus and 529 cynomolgus monkeys ranging from infancy to adult were included. In total, the mean serum AMH levels in cynomolgus monkeys were higher than that of rhesus monkeys (14.6 ± 5.3 ng/ml vs 9.5 ± 6.0 ng/ml, P < 0.001). AMH was inversely correlated with age (r = -0.371, P < 0.001) in rhesus, while the negative correlation did not reach statistical significance in cynomolgus monkeys (r = -0.044, P = 0.156). The maximum mean AMH levels were attained at the subgroup of 4-11 yr and the lowest AMH levels were obtained at the subgroup of ≧12 yr in both primates, corresponding to their fertility potential. In rhesus monkeys, from 1 to 11 years old, AMH level remained stable (1-3 yr: ß = 2.784, P = 0.340; 4-11 yr: r = 0.100, P = 0.110) whereas from 12 yr onward, an inverse correlation between AMH and age (r = -0.450, P = 0.02) was observed. Similarly, AMH appeared stable from 1 to 3 yr (ß = -2.289, P = 0.429) and showed an inverse correlation with age (r = -0.521, P < 0.001) from 12 yr onward in cynomolgus monkeys, while a positive correlation was observed (r = 0.156, P = 0.001) from 4 to 11 yr. AMH levels were relatively stable across the menstrual cycle in both primates and no seasonal difference for AMH levels was observed in rhesus monkeys. Body mass index did not affect serum AMH levels in both primates. Our nomograms of serum AMH provide a reference guide on AMH longitudinal distribution by age for Macaca monkeys and might facilitate its applications.

Relation of antimullerian hormone with the clinical signs of hyperandrogenism and polycystic ovary morphology

The relation of antimullerian hormone (AMH) levels with the clinical and biochemical markers of polycystic ovary syndrome (PCOS) could be different. A total of 463 PCOS patients were evaluated in this cross-sectional study. Groups were constructed according to polycystic ovarian morphology (PCOM) and menstrual cycle-length. The relation of serum AMH with androgenic hormones, menstrual cycle-length and clinical signs of PCOS were investigated. A powerful positive relation was found between the PCOM and AMH levels (odds ratio = 2.49). There was a negative correlation between age and AMH level (p < 0.001, r[correlation coefficent] = -0.155). Positive correlations were found between luteinizing hormone (LH) and AMH (p < 0.001, r = 0.25) and also between cycle length and AMH (p < 0.01, r = 0.27). We found a negative week correlation between AMH and follicle-stimulating hormone (FSH) (p = 0.01, r = -0.19). After controlling main androgenic hormones, AMH was found to be correlated with the Ferriman-Gallway score (p = 0.03, r = 0.18). There was a positive relationship between hirsutism and AMH (odds ratio = 1.43), but no correlation between AMH and other parameters of clinical hyperandrogenism like hair-loss, acne and seborrhea were identified. The strongest relation was presented between the AMH levels and PCOM. Also, cycle-length correlated well with the AMH levels. The relationship between hirsutism and AMH is found to be independent from androgenic hormones.

Diagnosis of Polycystic Ovary Syndrome: AMH in combination with clinical symptoms

PURPOSE

We assessed the utility of using anti-Müllerian hormone (AMH) and clinical features of polycystic ovary syndrome (PCOS), polycystic ovarian morphology (PCOM), oligo/amenorrhea (OA), and hyperandrogenism (HA) for diagnosing PCOS, and compared their diagnostic accuracy with those of classical diagnostic systems.

METHODS

A total of 606 females were admitted to a university hospital with menstrual irregularities or symptoms of hyperandrogenism were enrolled in this cross-sectional study. Fasting blood samples were collected. Pelvic and/or abdominal ultrasonography and clinical examination were performed. Patients were evaluated for the presence of PCOS according to conventional diagnostic criteria. The diagnostic performance of using serum AMH levels alone and in various combinations with the clinical features of PCOM, OA, and HA were investigated.

RESULTS

For the diagnosis of PCOS, the combination of OA and/or HA with AMH showed 83% sensitivity and 100% specificity according to the Rotterdam criteria; 83% sensitivity and 89% specificity according to the National Institutes of Health (NIH) criteria; and 82% sensitivity and 93.5% specificity according to the Androgen Excess Society (AES) criteria.

CONCLUSIONS

The serum AMH level is a useful diagnostic marker for PCOS and is correlated with conventional diagnostic criteria. The combination of AMH level with OA and/or HA markedly increased the clinical scope for PCOS diagnosis and can be introduced as a possible objective criterion for the diagnosis of this disease.

Elevated serum levels of anti-Müllerian hormone can be introduced as a new diagnostic marker for polycystic ovary syndrome

OBJECTIVE

To determine the possible role of anti-Müllerian hormone (AMH) in the diagnosis of polycystic ovary syndrome (PCOS) with a larger population of women and to evaluate its role as a new diagnostic marker.

DESIGN

Cross-sectional study.

SETTING

University hospital.

POPULATION

A total of 570 women, with PCOS (n = 419) and without PCOS (n = 151).

METHODS

Serum basal hormone; AMH, follicle stimulating hormone (FSH), luteinizing hormone (LH), prolactin, and thyroid-stimulating hormone (TSH) levels were measured. Mean hormone levels were compared and the predictive value of serum AMH level was evaluated with the use of the receiver operating characteristic (ROC) curve analysis.

RESULTS

No statistically significant differences were found between PCOS women and control groups in terms of age, body mass index and TSH levels. Differences between mean serum, FSH, LH and estradiol levels and LH/FSH ratio were found to be statistically significant (p < 0.001). Mean serum AMH level was higher in PCOS women than in controls (7.34 vs. 2.24 ng/mL, p < 0.001). The area under the ROC curve assay yielded a satisfactory result of 0.916 (95% confidence interval 0.897-0.935, p < 0.0001). The best compromise between 89.8% specificity and 80% sensitivity was obtained with a cut-off value of 3.94 ng/mL for PCOS diagnosis.

CONCLUSIONS

Serum AMH measurement is very valuable in the diagnosis of PCOS women. The serum AMH level in women with hyperandrogenism or oligo-anovulation could indicate the diagnosis of PCOS when reliable ultrasonography data are not available or when typical clinical and laboratory findings are not available. The serum AMH level is a new and useful diagnostic tool in PCOS diagnosis.

Anti-Müllerian hormone and polycystic ovary syndrome: assessment of the clinical pregnancy rates in in vitro fertilization patients

OBJECTIVE

The purpose of this study is to investigate the role of serum anti-Müllerian hormone (AMH), follicle-stimulating hormone (FSH) and antral follicle count (AFC) for the prediction of clinical pregnancy rates (CPR) in women with polycystic ovary syndrome (PCOS) undergoing IVF treatment.

DESIGN

Prospective cohort study.

SETTING

University hospital.

PATIENTS

One hundred and fifty consecutive women with PCOS.

INTERVENTIONS

All women underwent controlled ovarian stimulation with long agonist protocol followed by IVF procedure. Outcomes of pregnant and non-pregnant groups were compared.

MAIN OUTCOME MEASURE

CPR; AMH, FSH and AFC means and percentiles.

RESULTS

Fifty-one (34%) clinical pregnancies were observed in 150 women. Mean AMH was 6.7 ± 2.8 and 7.1 ± 4.3 ng/mL in pregnant and non-pregnant women, respectively (p = 0.594). The CPR were 27.8%, 35.0% and 37.8% in <25%, 25%-75% and >75% AMH percentiles, respectively (p = 0.656). There were also no significant difference in mean FSH and AFC between pregnant and non-pregnant women (p = 0.484 and p = 0.165, respectively).

CONCLUSION

AMH, FSH and AFC are not predictive for CPR in women with PCOS undergoing IVF treatment. Mean AMH values were not significantly different between pregnant and non-pregnant women. Although CRP increased in parallel with the raise in AMH percentiles, this remained insignificant.

Serum anti-müllerian hormone, follicle stimulating hormone and antral follicle count measurement cannot predict pregnancy rates in IVF/ICSI cycles

PURPOSE

To investigate whether serum anti-müllerian hormone (AMH), follicle stimulating hormone (FSH), or antral follicle count (AFC) are predictive for clinical pregnancy in in vitro fertilization (IVF) patients.

METHODS

Serum AMH, inhibin B, FSH, luteinizing hormone (LH), estradiol (E2), prolactin, and thyroid stimulating hormone (TSH) levels and AFC of 189 women under 40 years of age were investigated. Pregnant and non-pregnant women were compared.

RESULTS

Forty-seven (24.8 %) clinical pregnancies were observed in 189 women. There was no significant difference in terms of mean age, duration of infertility, body mass index, AMH, LH, FSH, E2, TSH, Inhibin B, AFC and total oocyte number between women who did and who did not become pregnant. Additionally, there was no significant difference in clinical pregnancy rates between the quartiles of AMH, FSH and AFC. (P values were 0.668, 0.071, and 0.252, respectively.)

CONCLUSION

Serum AMH and FSH, and AFC cannot predict clinical pregnancy in IVF patients under 40; the pregnancy rate tends to increase as AMH increases, although this remains non-significant.