Antimüllerian hormone levels and cardiometabolic risk in young women with polycystic ovary syndrome

Association between anti-mullerian hormone and metabolic syndrome: insights from a prospective community-based study

BACKGROUND

Limited studies have investigated the relationship between Anti-Müllerian hormone (AMH) and metabolic syndrome (MetS), yielding inconclusive results. This study aimed to examine the relationship between AMH levels and MetS and its components in women from a general population.

METHODS

This prospective study recruited 769 women. Generalized Estimating Equation (GEE) models analyzed longitudinal trends of MetS components. Cox proportional hazard models evaluated effect of age-specific AMH tertiles on MetS occurrence, adjusting for confounders.

RESULTS

The GEE analysis indicated that women in the third tertile exhibited higher mean FPG compared to those in the first tertile of age-specific AMH (3 mg/dL; 95% CI: 0.40, 5.60; P = 0.024); however, this association became non-significant after adjustment. Notably, the second tertile showed a significant decrease in FPG mean changes over time (-0.69 mg/dL; 95% CI: -1.31, -0.07; P Interaction = 0.030). Women in the second and third tertiles of age-specific AMH demonstrated lower mean HDL-C compared to the first tertile (-2.96 mg/dL; 95% CI: -4.67, -1.26; P < 0.001 and -2.63 mg/dL; 95% CI: -4.31, -0.96; P = 0.002, respectively). The association between HDL-C changes and the second tertile remained significant after adjustment (-1.91 mg/dL; 95% CI: -3.68, -0.14; P = 0.034). No significant associations were observed between age-specific AMH tertiles and TG and SBP/DBP. Cox models revealed no significant differences in the hazard ratio of MetS between AMH tertiles after adjusting for confounders.

CONCLUSION

Despite minor variations in MetS components, AMH levels did not affect MetS risk in women from a general population.

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.

Correlation between anti-mullerian hormone with insulin resistance in polycystic ovarian syndrome: a systematic review and meta-analysis

BACKGROUND

Epidemiological studies regarding the correlation between anti-Müllerian hormone (AMH) and insulin resistance (IR) in polycystic ovarian syndrome (PCOS) remain inconsistent. The primary aim of this study was to determine the correlations between AMH and IR in patients with PCOS and to explore the selected factors that influence the correlations.

METHODS

We conducted systemic searches of online databases (PubMed, Science Direct, Taylor and Francis, Scopus, and ProQuest) from inception to December 20, 2023 and manual searches of the associated bibliographies to identify relevant studies. We then performed subgroup and sensitivity analyses to explore the sources of heterogeneity, followed by a publication bias risk assessment of the included studies using the Joanna Briggs Institute critical appraisal tool. We used a random-effects model to estimate the pooled correlations between AMH and the homeostatic model assessment for insulin resistance (HOMA-IR) in patients with polycystic ovarian syndrome (PCOS).

RESULTS

Of the 4835 articles identified, 22 eligible relevant studies from three regions were included and identified as low risk of bias. The random-effects pooled correlation estimate was 0.089 (95% confidence interval [CI]: -0.040, 0.215), with substantial heterogeneity (I2 = 87%; τ2 = 0.0475, p < .001). Subgroup analyses showed that the study region did not influence the correlation estimates, and sensitivity analysis showed no significant alteration in the pooled correlation estimate or 95% CI values. No publication bias was observed.

CONCLUSION

There was a weak, statistically insignificant correlation between AMH and HOMA-IR in patients with PCOS. The correlation estimates did not vary according to the study participants' regions.

Anti-Mullerian Hormone and Fertility Treatment Decisions in Polycystic Ovary Syndrome: A Literature Review

Anti-Mullerian hormone is a robust marker of ovarian reserve and ovarian response in in vitro fertilisation (IVF). However, its role extends beyond improving the safety of IVF by aiding in choosing appropriate protocols and dosing. This review looks at the value of pre-treatment anti-Mullerian hormone (AMH) value in choosing the appropriate modality of treatment and its predictive ability for the outcomes of such treatment. It briefly addresses the factors that may modulate AMH levels and make clinical decision-making challenging.

Anti-Mullerian hormone and cardiometabolic status: a systematic review

BACKGROUND

To summarise the relationship between Anti-mullerian hormone (AMH) levels and cardiometabolic status in different populations.

METHODS

PubMed, Scopus, and Embase were searched for retrieving observational studies published up to February 2022 investigating the relationship between AMH level and cardiometabolic status.

RESULTS

Of 3,643 studies retrieved from databases, a total of 37 observational studies were included in this review. The majority of the included studies revealed an inverse association between AMH and lipid profiles, including triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL), and a positive correlation with high-density lipoprotein (HDL). While some studies have revealed a significant inverse association between AMH and glycemic parameters, including fasting plasma glucose (FPG), fasting insulin, and HOMA-IR, others found no such relationships. There is also an inconsistency among studies regarding the association of AMH with adiposity indices and blood pressure. Evidence indicates a significant association between AMH and some vascular markers, such as intima-media thickness and coronary artery calcification. Of 3 studies evaluating the relationship between AMH and cardiovascular events, two studies showed an inverse relationship between AMH levels and cardiovascular (CVD), whereas another study showed no significant association.

CONCLUSIONS

The results of this systematic review suggest that serum AMH levels can be associated with CVD risk. This may provide new insight into the use of AMH concentrations as a predictive marker for assessing the risk of cardiovascular disease, although more well-design longitudinal studies are still necessary for this area. Future studies on this topic will hopefully provide an opportunity to run a meta-analysis; it will increase the persuasiveness of this interpretation.

Assessment of Nutritional Status and Its Influence on Ovarian Reserve: A Systematic Review

BACKGROUND

Nowadays, there is a growing interest in the relationship among lifestyle, reproductive health, and fertility. Recent investigations highlight the influence of environmental and lifestyle factors such as stress, diet, and nutritional status on reproductive health. The aim of this review was to determine the influence of nutritional status on ovarian reserve in order to improve the reproductive health of women of childbearing age.

METHODS

A systematic literature review was carried out following the PRISMA method. The quality of the studies was assessed using the Cochrane Collaboration Risk of Bias tool. Data were extracted, and the results were summarized into two blocks: according to the technique used to assess ovarian reserve and nutritional status; according to the results found in the relationship between ovarian reserve and nutritional status.

RESULTS

A total of 22 articles involving 5929 women were included. In 12 of the included articles (54.5%), a relationship between nutritional status and ovarian reserve was demonstrated. In seven publications (31.8%), the increased body mass index (BMI) led to a decrease in ovarian reserve, two of them (0.9%) in patients with polycystic ovary syndrome, showing a decrease only if BMI > 25. In two articles (0.9%), there was a negative relationship between ovarian reserve and waist-to-hip ratio, and in one (0.45%), a positive relationship was shown between ovarian reserve and testosterone levels, the latter being related to body mass index. In five articles (22.7%), body mass index was used as a confounder and was negatively related to ovarian reserve, and in another four (18%), no correlation was found.

CONCLUSIONS

Ovarian reserve appears to be influenced by nutritional status. A high body mass index has a negative impact on the ovary, decreasing antral follicle count and anti-Müllerian hormone. Oocyte quality is compromised, increasing the rate of reproductive problems and the demand for assisted reproductive techniques. Further studies are needed to understand which dietary factors have the greatest effect on ovarian reserve in order to promote reproductive health.

Association between insulin resistance and abnormal menstrual cycle in Chinese patients with polycystic ovary syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disorder, which is characterized by insulin resistance (IR) and menstrual cycle disorders. IR is thought of as a pivotal cause of PCOS and related comorbidities. However, the link between IR and abnormal menstrual cycles in PCOS should be further studied. In this study, we clarified the dose-response relationship between IR and abnormal menstrual cycles in patients with PCOS.

RESULTS

In this retrospective study including 140 patients with PCOS, we found that there was a dose-response relationship between the increased HOMA-IR index and the level of menstrual cycle disorders (1.61 [95%CI: 1.37-1.85] for normal menstruation, 2.02 [95%CI: 1.61-2.44] for oligomenorrhea, 2.35 [95%CI:1.96-2.75] for amenorrhea, P for trend = 0.003). Further stratification analyses showed that this dose-response relationship was more evident in the patients who were younger, had higher BMI, higher AFC numbers, elevated levels of testosterone, anti-Müllerian hormone, inhibin B, and prolactin levels, and had a lower progestogen level.

CONCLUSIONS

Our study has established an association between IR and abnormal menstrual cycles in patients with PCOS, which can be affected by age, BMI, and hormone levels. Our results might be helpful for further prevention and treatment of amenorrhea in PCOS.

Anti-Mullerian Hormone-Based Phenotyping Identifies Subgroups of Women with Polycystic Ovary Syndrome with Differing Clinical and Biochemical Characteristics

Even though polycystic ovary syndrome (PCOS) was originally defined as "amenorrhea associated with bilateral polycystic ovaries", women without PCO morphology can be included in this diagnosis. This may contribute to the clinical heterogeneity seen in PCOS. Serum anti-Mullerian hormone (AMH) correlates with the number of ovarian cysts. We investigated whether phenotyping based on serum AMH can distinguish subgroups of PCOS with different clinical and biochemical characteristics. The electronic medical records of 108 women with PCOS (Rotterdam criteria) were reviewed. The serum AMH value correlated inversely (0.03 < p < 0.0001) with age, weight, and BMI values and directly with serum total testosterone (T), free T, and bioavailable T values. When divided into quartiles based on serum AMH values, the women in the highest quartile (AMH: 18.5 ± 9.9 ng/mL; n = 27) had lower BMI (29.4 ± 6.9 vs. 34.0 ± 10.6-36.7 ± 7.2 kg/m²) but higher total T (51.3 ± 27.2 vs. 26.5 ± 10.4-35.1 ± 16.3 ng/dL), free T (7.7 ± 6.0 vs. 4.4 ± 2.3-5.7 ± 3.2 ng/dL), and bioavailable T (22.1 ± 17.0 vs. 12.2 ± 6.6-16.5 ± 8.7 ng/dL) values. The combination of high AMH and high testosterone values may point to the ovaries and reproductive etiology for PCOS in this subgroup. Thus, AMH-based phenotyping may provide a practical and cost-effective tool to explore the heterogeneity in PCOS.

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.

Correlation Between Serum AMH Levels and Cardiometabolic Indices in PCOS Women

INTRODUCTION

Polycystic ovary syndrome (PCOS) has a predilection for several cardio-metabolic disorders in future. Levels of anti-Mullerian hormone (AMH), a marker of ovarian ageing, are higher in women with PCOS women than in controls. However, whether and how AMH concentrations influence the cardio-metabolic risk in PCOS is yet to be established.

OBJECTIVES

This study was done to determine the correlation between AMH levels and various cardiometabolic parameters in women with PCOS and to compare AMH levels in PCOS with and without metabolic syndrome (MS).

MATERIALS AND METHODS

In total, 144 women aged 20-40 years and diagnosed as PCOS by the Rotterdam criteria were included in this cross-sectional study. Their anthropometry and blood pressure were recorded. Fasting lipid profile, fasting glucose, fasting insulin, homeostasis model assessment-insulin resistance, total testosterone, and AMH were estimated. The correlation between AMH and cardiometabolic parameters was determined.

RESULTS

Serum AMH levels had no correlation with any component of MS. The AMH values were comparable between those with and without MS despite differences in the metabolic profile (11.39 ± 5.31 vs 11.56 ± 5.64 ng/mL, P = 0.861).

CONCLUSION

AMH levels do not correlate with components of MS so it may not be useful as an indicator of cardiovascular risk, insulin resistance, or MS in PCOS.

Body mass index, menstruation, acne, and hirsutism of polycystic ovary syndrome in women: A cross-sectional study

We examined to compare menstruation and body mass index (BMI) in women with and without polycystic ovary syndrome (PCOS) and to explore the effects of BMI on menstruation, facial acne, and hirsutism in women with PCOS of child-bearing age. Data from the Korea Nurses' Health Study were analyzed. The effect of BMI on irregularity of menstruation, acne, and hirsutism in the PCOS group was analyzed by logistic regression. The prevalence of PCOS was 7.1% among 11,866 participants. We found that BMI affects menstrual irregularity, facial acne, and hirsutism in PCOS women. Healthcare providers should consider weight control to improve irregularity of menstruation and hirsutism in PCOS 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.

Anti-Müllerian hormone levels and risk of type 2 diabetes in women

AIMS/HYPOTHESIS

Given its role in ovarian follicle development, circulating anti-Müllerian hormone (AMH) is considered to be a marker of reproductive ageing. Although accelerated reproductive ageing has been associated with a higher risk of type 2 diabetes, research on the relationship between AMH and type 2 diabetes risk is scarce. Therefore, we aimed to investigate whether age-specific AMH levels and age-related AMH trajectories are associated with type 2 diabetes risk in women.

METHODS

We measured AMH in repeated plasma samples from 3293 female participants (12,460 samples in total), aged 20-59 years at recruitment, from the Doetinchem Cohort Study, a longitudinal study with follow-up visits every 5 years. We calculated age-specific AMH tertiles at baseline to account for the strong AMH-age correlation. Cox proportional hazards models adjusted for confounders were used to assess the association between baseline age-specific AMH tertiles and incident type 2 diabetes. We applied linear mixed models to compare age-related AMH trajectories for women who developed type 2 diabetes with trajectories for women who did not develop diabetes.

RESULTS

During a median follow-up of 20 years, 163 women developed type 2 diabetes. Lower baseline age-specific AMH levels were associated with a higher type 2 diabetes risk (HR_T2vsT3 1.24 [95% CI 0.81, 1.92]; HR_T1vsT3 1.62 [95% CI 1.06, 2.48]; p_trend = 0.02). These findings seem to be supported by predicted AMH trajectories, which suggested that plasma AMH levels were lower at younger ages in women who developed type 2 diabetes compared with women who did not. The trajectories also suggested that AMH levels declined at a slower rate in women who developed type 2 diabetes, although differences in trajectories were not statistically significant.

CONCLUSIONS/INTERPRETATION

We observed that lower age-specific AMH levels were associated with a higher risk of type 2 diabetes in women. Longitudinal analyses did not show clear evidence of differing AMH trajectories between women who developed type 2 diabetes compared with women who did not, possibly because these analyses were underpowered. Further research is needed to investigate whether AMH is part of the biological mechanism explaining the association between reproductive ageing and type 2 diabetes. Graphical abstract.

A patient-specific model combining antimüllerian hormone and body mass index as a predictor of polycystic ovary syndrome and other oligo-anovulation disorders

OBJECTIVE

To determine whether a patient-specific predictive model combining antimüllerian hormone (AMH) levels and body mass index (BMI) can aid in the diagnosis of polycystic ovary syndrome (PCOS) and other ovulatory dysfunction disorders (OVDYS) among infertile women.

DESIGN

Retrospective cohort study.

SETTING

Academic fertility center.

PATIENT(S)

One thousand and ten infertile women undergoing 3,160 intrauterine insemination (IUI) cycles, stratified by diagnosis in three groups: PCOS, OVDYS, and other etiologies.

INTERVENTION(S)

Ovulation induction followed by IUI or ultrasound-monitored natural cycles.

MAIN OUTCOME MEASURE(S)

The probability of either PCOS or OVDYS diagnosis based on AMH levels alone and a patient-specific predictive model that combines serum AMH and patient's BMI.

RESULT(S)

Median and interquartile range (IQR) for the serum AMH levels (ng/mL) were the highest in women with PCOS, and lowest in those with other infertility causes. Overall, for every 1 ng/mL increase in AMH, the odds of PCOS and OVDYS versus other causes increased by 55% and 24%, respectively. Postestimation from multivariate logistic regression models showed that PCOS diagnosis can be predicted with lower AMH values in women with a higher BMI compared with the AMH values predicting PCOS in normal-weight or underweight patients. The receiver operating characteristic curves reinforced these findings, and the best cutoffs for PCOS diagnosis were 7.5, 4.4, and 4.1 ng/mL for women belonging to the BMI groups 18.5-24.9, 25.0-29.9, and ≥30.0 kg/m², respectively.

CONCLUSION(S)

Taking into account AMH and BMI, we developed a model that predicts the probability of an oligo-anovulation diagnosis, thus facilitating patient-specific counseling in the infertility setting.

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

CONTEXT

Controversy exists regarding if and how body mass index (BMI) impacts antimüllerian hormone (AMH) in women with and without polycystic ovary syndrome (PCOS). Understanding the BMI-AMH relationship has critical implications for clinical interpretation of laboratory values and could illuminate underlying ovarian physiology.

OBJECTIVE

To test the hypotheses that (1) BMI is associated with reduced AMH in PCOS and ovulatory controls (OVAs) and (2) the reduction in AMH is not accounted for by dilutional effects.

DESIGN/SETTING

Multicenter cohort.

PARTICIPANTS

Women aged 25 to 40 years from 2 clinical populations: 640 with PCOS, 921 women as OVAs.

MAIN OUTCOME MEASURES

Ovarian reserve indices: AMH, antral follicle count (AFC), and AMH to AFC ratio (AMH/AFC) as a marker of per-follicle AMH production.

RESULTS

In both cohorts, increasing BMI and waist circumference were associated with reductions in AMH and AMH/AFC, after adjusting for age, race, smoking, and site in multivariate regression models. Increasing BMI was associated with reduced AFC in PCOS but not OVAs. Body surface area (BSA), which unlike BMI is strongly proportional to plasma volume, was added to investigate a potential dilutive effect of body size on AMH concentrations. After controlling for BSA, BMI retained independent associations with AMH in both cohorts; BSA no longer associated with AMH.

CONCLUSIONS

In an adjusted analysis, BMI, but not BSA, was associated with reduced AMH; these data do not support a role for hemodilution in mediating the relationship between increased body size and reduced AMH. Decreased AMH production by the follicle unit may be responsible for reduced AMH with increasing BMI.

Association of the functional ovarian reserve with serum metabolomic profiling by nuclear magnetic resonance spectroscopy: a cross-sectional study of ~ 400 women

BACKGROUND

Women with diminished ovarian reserve are known to have increased cardiovascular risk, whether there is a continuous association between the ovarian reserve biomarkers; anti-Müllerian hormone (AMH), antral follicle count (AFC) and cardio-metabolic risk factors are unknown.

METHODS

A cross-sectional study of 398 women intending to undergo IVF with pre-treatment early follicular AMH and AFC measurements. Serum lipids, lipoprotein subclasses and low-molecular-weight metabolites were quantified by NMR spectroscopy (155 metabolic measures). Associations were analysed using multivariable regression.

RESULTS

Participants were mean 35.5 (SD 4.43) years old and had a median AMH of 16 pmol/l (IQR 8.8, 28.0 pmol/l) and a median AFC of 12 (IQR 7.16). AMH showed positive associations with HDL, omega-6 and polyunsaturated fatty acids and the amino acids isoleucine, leucine and tyrosine, with effects ranging from 0.11 (95%CI 0.004 to 0.21) for total lipids in small HDL to 0.16 (0.06 to 0.26) for isoleucine, for a mean difference of one SD of metabolite per one SD increment in AMH, and negatively with acetate: - 0.31(- 0.22, - 0.004) SD per 1 SD AMH. AFC was positively associated with alanine, glutamine and glycine. Results were consistent, though less precisely estimated, when restricted to those women who were preparing for treatment because of their partner's infertility.

CONCLUSIONS

In women intending to have IVF, AMH and AFC were not associated with traditional lipid measured but were associated with a number of novel cardiovascular risk factors. Prospective studies will be required for replication, determination of causality and confirmation that ovarian reserve is impacting on metabolism rather than variation in metabolism is influencing ovarian reserve.

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.

Associations Between Anti-Mullerian Hormone and Cardiometabolic Health in Reproductive Age Women Are Explained by Body Mass Index

CONTEXT

The relationship between reproductive and cardiometabolic aging is unclear. It is unknown if the relationship differs across different clinical populations.

OBJECTIVE

To determine whether markers of ovarian reserve are associated with cardiometabolic risk in reproductive aged women with unexplained infertility (UI), polycystic ovary syndrome (PCOS), and regularly cycling women (OVA).

DESIGN AND SETTING

Cross-sectional data from 8 US-based academic centers.

PARTICIPANTS

Women aged 25-40 from 3 clinical populations: 870 with UI, 640 with PCOS, and 921 community-based OVA.

MAIN OUTCOME MEASURES

Multivariable linear regression models were used to relate anti-mullerian hormone (AMH) and antral follicle count with cardiometabolic parameters including body mass index (BMI), waist circumference (WC), fasting glucose and insulin, homeostasis model assessment-insulin resistance (HOMA-IR), lipids, and C-reactive protein.

RESULTS

In age and study site-adjusted models, AMH inversely related to BMI in the UI and OVA groups (P = 0.02 and P < 0.001). Among women with PCOS, AMH inversely related to BMI (P < 0.001), and also to WC (P < 0.001), fasting insulin (P < 0.01), HOMA-IR (P < 0.01), triglycerides (P = 0.04), and C-reactive protein (P < 0.001) and directly related to higher total (P = 0.02), low-density lipoprotein (P < 0.01), and high-density lipoprotein cholesterol (P < 0.01). In OVA, AMH also varied inversely with WC (P < 0.001), fasting insulin (P = 0.02), and HOMA-IR (P = 0.02). Adjustment for BMI eliminated associations in the OVA group but in PCOS, the relationship of AMH to total (P = 0.03) and low-density lipoprotein cholesterol (P = 0.003) remained.

CONCLUSION

Associations observed between AMH and cardiometabolic indices are largely explained by BMI in women with and without PCOS. (J Clin Endocrinol Metab XX: 0-0, 2019).

Determination of insulin resistance and its relationship with hyperandrogenemia,anti-Müllerian hormone, inhibin A, inhibin B, and insulin-like peptide-3 levels in adolescent girls with polycystic ovary syndrome

Background/aim

This study aims to investigate the association between polycystic ovary syndrome (PCOS) and obesity and insulin resistance (IR) with respect to anti-Müllerian hormone (AMH), inhibin A (INH-A), inhibin B (INH-B), and insulin-like peptide 3 (INSL3) levels, all factors which may have an impact on IR.

Materials and methods

In this cross sectional study, 52 adolescent girls diagnosed with PCOS[groups: nonobese (NO), n = 23; overweight/obese (OW/O), n = 29] were included. Blood samples were obtained to measure AMH, INH-B, INH-A, and INSL3 levels, together with hormonal and biochemical assessments. Oral glucose tolerance test (OGTT) was performed and the indexes of IR [homeostasis model assessment: insulin resistance (HOMA-IR) and Matsuda index] were calculated.

Results

Insulin resistance was 56.5% with OGTT and 30.4% with HOMA-IR in nonobese-PCOS girls. There was a correlation between INH-A and HOMA-IR even when controlled for body mass index (BMI). INH-B and FAI also had correlations with HOMA-IR which disappeared when controlled for BMI. In regression analyses, AMH (odds ratio = [0.903, P = 0.015) and FAI (odds ratio = 1.353, P = 0.023) are found to be contributors to IR. Their effect was BMI-independent. In ROC analysis, the cutoff value for FAI was 5.93 (sensitivity 71%) to define IR in PCOS girls.

Conclusion

AMH and FAI may contribute to IR (defined by OGTT) in PCOS. FAI might be used as a supporting IR marker (defined by OGTT) in adolescent girls with PCOS.

Hormone profiling, including anti-Müllerian hormone (AMH), for the diagnosis of polycystic ovary syndrome (PCOS) and characterization of PCOS phenotypes

Objective was to evaluate serum anti-Müllerian hormone (AMH) levels in polycystic ovary syndrome (PCOS) and in its different phenotypes in relation to clinical, endocrine and metabolic parameters using a new automated VIDAS^® method and to compare it with the Gen II method. Study design was multi-center study including 319 PCOS women and 109 healthy controls. Serum AMH levels measured using VIDAS^® were significantly higher in PCOS women than controls (p < .001), and they correlated with those measured using the AMH Gen II method. An AMH cutoff value of 42.1 pmol/L distinguished PCOS women from controls with 67% sensitivity and 83% specificity. The PCOS women with three Rotterdam criteria or hyperandrogenism displayed significantly higher AMH levels compared with those with two Rotterdam criteria or normoandrogenism. In PCOS, AMH levels correlated positively with luteinizing hormone (LH), androgen and sex hormone-binding globulin (SHBG) levels and negatively with BMI, abdominal obesity, follicle-stimulating hormone (FSH), fasting glucose and insulin, and insulin resistance. In conclusion, AMH evaluated using the VIDAS^® method distinguished PCOS patients from healthy controls relatively well, especially in those with more severe phenotypes. Further studies are needed to establish whether AMH measurements can distinguish PCOS patients with different metabolic risk factors.

[Ovarian stimulation with gonadotrophins in patients with polycystic ovary syndrome]

OBJECTIVES

The main objective of this study was to describe the ovulation rate in patients with polycystic ovary syndrome, treated with ovulation induction/intra-uterine insemination and follitropin alfa by gonadotrophins at a second attempt.

METHODS

An observational, national and multicentre study was carried out: 51 French physicians (endocrinologists, gynaecologists) participated. Eligible patients were followed according to the usual clinical practices. The primary endpoint was the number of ovulations (spontaneous or triggered). Quality of life evaluation (by FertiQoL), compliance, and patient satisfaction were secondary endpoints.

RESULTS

A total of 202 patients (mean age: 29.9 years; mean infertility: 2.9 years) were included: 78.4% met the Rotterdam definition. The ovulation rate was 93.3% (95% confidence interval [89.8; 96.8]%). At 12 weeks of gestation, 38 patients had an ongoing pregnancy. A difference of 10 points of the mean total FertiQoL score was observed between the two attempts. No patient reported missing injection. More than 9 in 10 patients said they were satisfied to very satisfied with the use of the pen injector for administration of follitropin alfa. Eight patients (4.0%) had hyperstimulation leading to cycle cancellation, and two patients (1.1%) reported ovarian hyperstimulation syndrome.

CONCLUSIONS

At the second cycle of follitropin alfa stimulation, a high rate of ovulations, satisfactory compliance and tolerance profile associated with a change in quality of life were reported.

Metabolic Syndrome and Insulin Resistance Syndrome among Infertile Women with Polycystic Ovary Syndrome: A Cross-Sectional Study from Central Vietnam

BACKGROUND

Polycystic ovarian syndrome (PCOS) is one of the most common endocrinopathies among reproductive-age women. Its metabolic features often overlap with those associated with metabolic syndrome (MS) and insulin resistance syndrome (IRS). The objective of this study was to determine the prevalence and predictors of MS and IRS in infertile Vietnamese women with PCOS.

METHODS

A cross-sectional study was conducted at a tertiary fertility centre at Hue University Hospital from June 2016 to November 2017. A total of 441 infertile women diagnosed with PCOS based on the revised 2003 Rotterdam consensus criteria were enrolled. MS and IRS were defined based on the National Heart, Lung, and Blood Institute/American Heart Association Adult Treatment Panel III 2005 and American College of Endocrinology IRS 2003 criteria, respectively. Complete clinical and biochemical measurements of 318 women were available for analysis. Independent predictors of MS and IRS were identified using multivariate logistic regression.

RESULTS

The overall prevalence of MS and IRS in women with PCOS was 10.4% and 27.0%, respectively. We identified older age (>30 years) and obesity as independent predictors of MS and IRS. Elevated anti-Müllerian hormone levels increased the risk of IRS, but not that of MS.

CONCLUSION

MS and IRS are prevalent disorders among infertile Vietnamese women with PCOS. PCOS is not solely a reproductive problem. Screening and early intervention for MS and/or IRS based on anthropometric, metabolic, and reproductive hormone risk factors should be an integral part of fertility care.

Serum Anti-Müllerian hormone (AMH) in mothers with polycystic ovary syndrome (PCOS) and their term fetuses

We sought to determine serum AMH levels in the maternal circulation, and the umbilical artery and vein, in normal women and women with PCOS, and their neonates at time of delivery. This represents a cross-sectional study of 57 pregnant patients who presented to the labor and delivery suite and subsequently delivered. We obtained maternal, as well as fetal blood from both, umbilical artery and vein. We measured serum concentrations of estradiol, AMH, testosterone and FSH. A total of 30 patients delivered a female and 27 a male neonate. Of them, 18/30 and 18/27 had a diagnosis of PCOS by NIH criteria. Mean age, BMI, weight gain in pregnancy, and gestational age did not differ between the two groups of mothers. AMH serum levels were statistically higher in women with PCOS (p < 0.005) and in their fetuses, independently of gender. Testosterone was higher in women with PCOS (p < 0.001), but there was no PCOS-related difference in their fetuses. FSH levels were significantly lower in PCOS than non-PCOS mothers carrying a male (p = 0.022), but not a female, fetus. AMH was positively correlated with maternal serum testosterone (p = 0.001) and negatively with fetal serum FSH (p < 0.026). In PCOS pregnancies, AMH was negatively correlated with maternal BMI (p = 0.019), menstrual cycle length (p = 0.035), and fetal uterine vein FSH (p = 0.021). In conclusion, at time of delivery, fetuses of women with PCOS had higher AMH levels and similar testosterone levels compared to fetuses from non-PCOS mothers, irrespective of gender. Our results may help explaining developmental differences in offspring of PCOS women.

Polycystic ovary syndrome and the risk of cardiometabolic complications in longitudinal studies

The purpose of this study was to perform a review of the longitudinal studies to determine whether polycystic ovary syndrome is associated with higher prevalence of metabolic complications and cardiovascular morbidity and mortality. The primary outcomes included body mass index, metabolic syndrome and its components (waist circumference, lipid profile, arterial hypertension, abnormal glucose metabolism (impaired fasting glucose, impaired glucose tolerance, type 2 diabetes), insulin resistance, and cardiovascular diseases like stroke, angina, and coronary heart disease. Complications in pregnant women were beyond the scope of this review. PubMed database (1992-2018) was searched to identify proper publications. Finally, data from 47 articles were analysed. Studies differed in the design (prospective, retrospective, cohort, observational), research methods, polycystic ovary syndrome diagnostic criteria, studied populations, race, and ethnicity of the participants. Based on the data collected, it appears that women with polycystic ovary syndrome have higher prevalence of obesity, abdominal fat distribution, dyslipidaemia and deterioration of glucose metabolism, but increased prevalence of cardiovascular diseases is not proven.

An update on PCOS in adolescents

PURPOSE OF REVIEW

Polycystic ovarian syndrome (PCOS) is a common endocrinopathy which can be difficult to treat in adolescents. Fortunately, early identification and treatment can help mitigate some of the metabolic complications. In this review, we reflect on recent literature regarding PCOS diagnosis, associated complications, and treatment options.

RECENT FINDINGS

Although there are three well known criteria to diagnose PCOS, they can be difficult to translate to adolescence. Newer diagnostic tools under study include anti-Mullerian hormone and revised ultrasound criteria. More is known about the many complications associated with PCOS, and new treatment options are on the horizon.

SUMMARY

PCOS frequently will present during adolescence. These young women may already have symptoms of metabolic comorbidities. Providers caring for these patients must be aware of the many related complications and common treatment options. Newer diagnostic techniques and treatment options are under active study in adults, and may soon be translated to adolescence. A comprehensive approach allows treatment of patients' concerns, and also prevention of metabolic complications.

The diagnosis of PCOS in young infertile women according to different diagnostic criteria: the role of serum anti-Müllerian hormone

PURPOSE

To diagnose polycystic ovary syndrome (PCOS) in young infertile women using different diagnostic criteria. To define serum anti-Müllerian hormone (AMH) cutoff values for PCOS definition. To investigate the correlation between AMH and body mass index (BMI).

METHODS

Retrospective case-control study. A total of 140 infertile women (age 21-35 years) were enrolled. PCOS was defined according to the National Institutes of Health (NIH) criteria, the Rotterdam consensus criteria and the Androgen Excess and PCOS Society (AE-PCOS) criteria. ROC curve analysis was performed to define AMH thresholds for PCOS definition according to the three different diagnostic criteria. Correlation between AMH and BMI was investigated.

RESULTS

The prevalence of PCOS under the NIH criteria, the Rotterdam criteria and the AE-PCOS criteria was 27.1, 40 and 29.3%, respectively. The optimal thresholds of AMH to distinguish NIH PCOS from infertile controls was 5.20 ng/ml (AUC = 0.86, sensitivity 79%, specificity 80%); the best cutoff to detect Rotterdam PCOS was 4.57 ng/ml (AUC = 0.85, sensitivity 78%, specificity 81%); a cutoff of 4.85 ng/ml (AUC = 0.85, sensitivity 80%, specificity 78%) defined PCOS women according to AE-PCOS criteria. The prevalence of the syndrome became 37.1, 44.3 and 39.2% according to the three criteria, respectively, using AMH threshold between 4.57 and 5.20 ng/ml as an alternative to antral follicle count and/or hyperandrogenism.

CONCLUSION

Anti-Müllerian hormone may reconcile the three diagnostic criteria and allow the PCOS diagnosis in women with mild symptoms. No significant correlation was found between AMH and BMI in PCOS women and controls.

Reproductive health, obesity, and cardiometabolic risk factors among Samoan women

OBJECTIVES

Obesity leads to deleterious effects on not only cardiovascular health but also on the reproductive health of women. We estimate the prevalence of menstrual irregularity and of polycystic ovarian syndrome (PCOS) in Samoan women, among whom obesity prevalence is extremely high. We explore the association of these reproductive health conditions with adiposity, cardiometabolic risk factors, and androgen levels.

METHODS

A cross-sectional sample of Samoan women 25-39 years of age (n = 470) from a larger population-based genome-wide association study of adiposity and cardiometabolic disease was assessed for the prevalence of oligomenorrhea/amenorrhea (OM/AM) using a self-reported questionnaire. Serum androgens and anti-Müllerian hormone levels were assayed to determine hyperandrogenemia and presence of polycystic ovaries (PCO), respectively, using criterion values. PCOS was classified using NIH guidelines of having at least two of the three conditions: menstrual irregularity, hyperandrogenism, and PCO. We contrasted socio-demographic, reproductive health, and cardiometabolic risk factors between those with and without OM/AM and similarly for PCOS.

RESULTS

The prevalence of OM/AM was 7.4% (95% CI: 5.1, 9.8), and women with OM/AM had significantly higher central adiposity. PCOS was estimated at 6.8% (95% CI: 4.5, 9.1), and those with PCOS were younger but had higher overall and central adiposity measures, higher triglycerides, and higher prevalence of insulin resistance than women without PCOS.

CONCLUSIONS

The prevalence of menstrual irregularity and PCOS are less than hypothesized given the high levels of adiposity in this population. Nevertheless, Samoan women with menstrual irregularity and other features of PCOS have significantly poorer metabolic health.