Serum AMH levels and insulin resistance in women with PCOS

Association of HOMA-IR with unexpected poor ovarian response in non-obese women in poseidon 1: a retrospective cohort study

BACKGROUND

Insulin resistance (IR) is related with adverse outcomes of in vitro fertilization (IVF) in women with obesity, but little is known about the relationship between IR and unexpected poor ovarian response (uPOR) in non-obese subjects with sufficient ovarian parameters (classified as POSEIDON group 1). This research aims to explore the association between the homeostasis model assessment of insulin resistance (HOMA-IR) and uPOR in non-obese women with normal biomarkers of ovarian reserve.

METHODS

The retrospective cohort study was conducted at a fertility center. The main inclusion criteria were age < 35 years, body mass index (BMI) < 28 kg/m2, normal ovarian reserve (anti-Mullerian hormone ≥ 1.2 ng/ml, antral follicle count ≥ 5). Women undergoing the first oocyte retrieval cycle were included consecutively between 2018 until 2023. Patients who have ≤ 9 oocytes retrieved were defined as uPOR. The multivariable logistic model and subgroup analysis were conducted after adjusting confounders.

RESULTS

A total of 6977 cycles were included. The adjusted odds ratio was 1.25 (95% confidence interval [CI], 1.12-1.39) for the increment of Ln HOMA-IR which was taken as a continuous variable. Meanwhile, as a sensitivity analysis, elevated tertile of HOMA-IR exhibited an increase in risk of uPOR for the third tertile (≥ 2.75) when compared with the first tertile (< 1.75) with OR of 1.33 (95%CI, 1.15-1.54). In the subgroup analysis, the positive association remained consistent.

CONCLUSION

Elevated HOMA-IR values is significantly associated with increased risk of uPOR in non-obese women classified as POSEIDON group 1. Our study provided evidence for the adverse influence of IR on the ovarian response during IVF and shed light on the importance of IR measurement at the time of pre-stimulation among non-obese women.

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.

Polycystic Ovary Syndrome, Insulin Resistance, and Cardiovascular Disease

PURPOSE OF REVIEW

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder in women of reproductive age. It has been associated with metabolic, reproductive, and psychiatric disorders. Despite its association with insulin resistance (IR) and cardiovascular disease (CVD) risk factors, the association between PCOS and CVD outcomes has been conflicting. This review reports the updated evidence between PCOS, insulin resistance, and CVD events.

RECENT FINDINGS

IR is highly prevalent occurring in 50 to 95% of general and obese PCOS women. The etiology of PCOS involves IR and hyperandrogenism, which lead to CVD risk factors, subclinical CVD, and CVD outcomes. Multiple studies including meta-analysis confirmed a strong association between PCOS and CVD events including ischemic heart disease, stroke, atrial fibrillation, and diabetes, particularly among premenopausal women, and these associations were mediated by metabolic abnormalities. PCOS is highly familial and has substantial CVD risk and transgenerational effects regardless of obesity. A personalized approach to the CVD risk assessment and management of symptom manifestations should be conducted according to its phenotypes. Lifestyle modifications and reduction in environmental stressors should be encouraged for CVD prevention among PCOS women.

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.

Cardio-metabolic risk in Rotterdam clinical phenotypes of PCOS

BACKGROUND AND AIMS

Elevated anti-Müllerian hormone (AMH) in polycystic ovary syndrome (PCOS) characterizes the clinical severity of the 4 phenotypes; but whether it also reflects the corresponding differences in cardio-metabolic risk remains to be elucidated. This study aimed to compare metabolic profile between the 4 clinical phenotypes of PCOS and to determine the influence of AMH levels on metabolic severity.

METHODS

One hundred and forty-four women with PCOS, aged between 20 and 40years, were recruited in this cross-sectional study and categorized according to the 4 phenotypes of the Rotterdam criteria. Anthropometry and blood pressure were recorded. Fasting lipid profile, fasting glucose, fasting insulin, homeostasis model assessment insulin resistance, total testosterone and AMH were estimated. Clinical, anthropometric and metabolic profiles were compared between the 4 phenotypes.

RESULTS

There were significant differences in menstrual abnormalities, weight, hip circumference, clinical hyperandrogenism, ovarian volume and AMH levels between the 4 phenotypes. Cardio-metabolic risk factors and rates of metabolic syndrome (MS) and insulin resistance (IR) were comparable.

CONCLUSION

Cardio-metabolic risk is similar in all phenotypes of PCOS despite differences in anthropometry and AMH levels. All women diagnosed with PCOS should undergo screening and lifelong surveillance for MS, IR and cardiovascular diseases, irrespective of clinical phenotype or AMH level. This needs further validation in prospective multi-center studies across the country, with larger sample sizes and adequate power.

Association of lipid profile and obesity in patients with polycystic ovary syndrome

Objective. Abnormal lipid profile and obesity increase the risk of polycystic ovary syndrome (PCOS). PCOS patients may have a greater risk of infertility, metabolic syndrome (MetS) and cardiovascular disease (CVD) due to abnormal lipid profile and obesity. The aim of the study was to find the association between abnormal lipid profile and obesity in patients with PCOS. Methods. In this case-control study, a total of 102 female subjects (51 diagnosed PCOS and 51 age-matched healthy controls) were enrolled, aged between 20-40 years. Biochemical parameters such as total cholesterol (TC), triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), very low-density lipoprotein-cholesterol (VLDL-C), luteinizing hormone (LH), and follicle-stimulating hormone (FSH) were estimated. Anthropometric parameters such as body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist-to-hip ratio (WHR) were recorded. A p<0.05 was considered statistically significant. Results. Mean of BMI, WC, WHR, LH, FSH, TC, TG, LDL-C, and VLDL-C was found significantly elevated in patients with PCOS as compared to controls (p<0.01). However, the mean of HDL-C was found significantly reduced in patients with PCOS as compared to controls (p<0.01). BMI has shown a significant positive correlation with WC (r=0.562, p<0.01) and WHR (r=0.580, p<0.01) among PCOS patients. LH has shown a significant positive correlation with FSH (r=0.572, p<0.01) among PCOS patients. TC has shown a significant positive correlation with TG (r=0.687, p<0.01), LDL-C (r=0.917, p<0.01), and VLDL-C (r=0.726, p<0.01) among PCOS patients. Conclusion. The results showed that abnormal lipid profile and obesity have a significant association with PCOS patients. Regular monitoring and treatment of PCOS patients are required to reduce the risk of infertility, MetS, and CVD.

The effect of calorie-restriction along with thylakoid membranes of spinach on the gut-brain Axis Pathway and oxidative stress biomarkers in obese women with polycystic ovary syndrome: a Randomized, Double-blind, placebo-controlled clinical trial

BACKGROUND

Women with polycystic ovary syndrome (PCOS) have higher intestinal mucosal permeability, leading to the lipopolysaccharide (LPS) leakage and endotoxemia. This, in turn, leads to oxidative stress (OS) and neuro-inflammation caused by the gut-brain axis, affecting the neurotrophic factors levels such as brain-derived neurotrophic factor (BDNF) and S100 calcium-binding protein B (S100 B) levels. In this study, it was hypothesized that the thylakoid membranes of spinach supplementation along with a hypocaloric diet may have improved the LPS levels, neurotrophic factors, and OS in PCOS patients.

METHODS

In this double-blind, randomized, placebo-controlled, and clinical trial, 48 women with obesity and diagnosed with PCOS based on Rotterdam criteria were randomly assigned to thylakoid (N = 21) and placebo groups (N = 23). A personalized hypocaloric diet with 500 calories less than the total energy expenditure was prescribed to all patients. The participants were daily supplemented with either a 5 g/day thylakoid-rich spinach extract or a placebo (5 g cornstarch) for 12 weeks along with a prescribed low-calorie diet. Anthropometric measurements and biochemical parameters were assessed at baseline and after the 12-week intervention.

RESULTS

A statistically significant decrease in the LPS levels (P < 0.001) and an increase in the BDNF levels (P < 0.001) were recorded for the participants receiving the oral thylakoid supplements and a low-calorie diet. Furthermore, significant decreases were observed in fasting blood glucose, insulin, homeostatic model of assessment for insulin resistance, free testosterone index, and follicle-stimulating hormone / luteinizing hormone ratio in both groups (P < 0.05). No significant differences were detected between the two groups regarding the changes in malondialdehyde, catalase, total antioxidant capacity, and S100B levels (P > 0.05).

CONCLUSIONS

In sum, the thylakoid membranes of spinach supplemented with a hypocaloric diet reduced the LPS levels, increased the BDNF levels, and improved the glycemic profile and sex-hormone levels; however, they had no effects on the OS markers levels after 12 weeks of intervention.

Comparing Assisted Reproductive Outcomes in Women with Different Polycystic Ovary Syndrome Phenotypes Undergoing Frozen Embryo Transfer

Background

Patients with polycystic ovarian syndrome (PCOS) have unique characteristics depending on its phenotype. Therefore, prediction of controlled ovarian stimulation (COS) response and assisted reproductive technique (ART) outcome in these becomes challenging.

Aims

To assess the outcomes of assisted reproductive technology (ART) in various polycystic ovary syndrome (PCOS) phenotypes and to evaluate the predictive value of anti-Mullerian hormone (AMH) and total testosterone on ART success. Clinical pregnancy rate (CPR) was measured as the primary outcome.

Settings and Design

This was a prospective observational study conducted at a tertiary care centre.

Materials and Methods

A total of 190 infertile women with PCOS (Rotterdam criteria) were enrolled and were subdivided into four phenotypes. Baseline screening and transvaginal scan were done. All patients underwent COS using antagonist protocol with recombinant follicle-stimulating hormone, and an agonist trigger was given for follicular maturation. One or two blastocysts were transferred in a frozen-thawed embryo transfer cycle. Luteal phase support was given with vaginal progesterone.

Statistical Analysis Used

For quantitative variables, we employed the Kruskal-Wallis Test with post hoc Tukey's analysis. For continuous or ordinal variables, the Mann-Whitney U test was utilized. The analysis of categorical data was conducted using the Chi-square (χ2) test with SPSS 21 software.

Results

Phenotype A was the most prevalent (37%). CPR was the highest in phenotype D (57.7%), followed by phenotype C (53.06%), A (43%) and B (36%). The mean serum AMH level was the highest in phenotype A (9.7 ± 4.3 ng/dL) and the lowest in phenotype B (5.9 ± 1.8 ng/dL). The mean total testosterone level was 103 ± 15.68 ng/mL in Type A, 109.46 ± 37.08 ng/mL in Type B and 48.52 ± 17.07 ng/ml in Type D.

Conclusion

Phenotype D showed higher CPR and lower miscarriage rate compared to other phenotypes (not significant) and was associated with good clinical outcome. No correlation could be established with serum AMH, total testosterone levels and CPR.

The effects of metformin on anti-Müllerian hormone levels in patients with polycystic ovary syndrome: a systematic review and meta-analysis

OBJECTIVE

To analyze whether metformin treatment in patients with polycystic ovary syndrome (PCOS) results in a decrease of anti-Müllerian hormone (AMH) levels, we reviewed and analyzed PCOS studies which evaluated serum AMH levels before and after metformin treatment.

METHODS

This is a systematic review and meta-analysis of self-controlled clinical trials. Databases including PubMed, Embase, and Web of Science library were searched to identify eligible studies published before February 2023. Random-effects models were applied to assess standardized mean differences (SMDs) with 95% confidence intervals (95% CI).

RESULTS

The electronic-based search retrieved 167 articles of which 14 studies (12 publications) involving 257 women with PCOS were included. In general, AMH levels decreased significantly after metformin treatment [SMD (95% CI) of -0.70 (-1.13 to -0.28); P = 0.001]. Metformin exhibited a strong inhibitory effect on AMH levels for PCOS patients with age less than 28 [SMD - 1.24, 95% CI - 2.15 to - 0.32, P = 0.008]. Additionally, AMH levels significantly slid down in PCOS patients with no more than 6 months metformin treatment [SMD - 1.38, 95% CI - 2.18 to - 0.58, P = 0.0007], or with no more than a dose of 2000 mg/day [SMD -0.70, 95% CI -1.11 to -0.28; P = 0.001]. Notably, suppressive effects of metformin treatment were merely observed in patients with AMH levels at baseline higher than 4.7 ng/ml [SMD - 0.66, 95% CI - 1.02 to - 0.31, P = 0.0003].

CONCLUSION

This meta-analysis provided quantitative evidence demonstrating that metformin significantly decreased AMH levels, especially for young patients and those with AMH levels at baseline higher than 4.7 ng/ml.

TRIAL REGISTRATION

PROSPERO CRD42020149182.

Free androgen index (FAI)'s relations with oxidative stress and insulin resistance in polycystic ovary syndrome

This study aimed to determine the levels of the free androgen index (FAI) and its association with oxidative stress and insulin resistance (IR) in patients with polycystic ovary syndrome (PCOS). This cross-sectional study was performed on 160 women aged 18-45 years, visiting gynecology clinics of Urmia in northwestern Iran during 2020-2021 who were diagnosed with PCOS and exhibited one of the four phenotypes of PCOS. All the participants underwent clinical examinations, paraclinical tests, and ultrasounds. FAI cut-off point was considered to be 5%. The significance level was set at < 0.05. Among the 160 participants, the prevalence of the four phenotypes was as follows: phenotype A: 51.9%, phenotype B: 23.1%, phenotype C: 13.1%, and phenotype D: 11.9%. High FAI was detected in 30 participants (18.75%). Additionally, It was found that phenotype C had the highest FAI levels among the PCOS phenotypes, with a significant difference between phenotypes A and C (p value = 0.03). IR was observed in 119 (74.4%) of the participants, and the median (interquartile range: IQR) of malondialdehyde (MDA) levels among the participants was 0.64 (0.86) μM/L. In linear regression, the PCOS phenotype (standard beta = 0.198, p-value = 0.008), follicle-stimulating hormone (FSH) levels (standard beta = 0.213, p-value = 0.004), and MDA levels (standard beta = 0.266, p-value < 0.001) were significantly related to the FAI level, but the homeostatic model assessment for insulin resistance (HOMA-IR) was not statistically associated with FAI. Thus, in this study, PCOS phenotypes and MDA levels (an indicator of stress oxidative) were significantly related to FAI, but HOMA-IR (the indicator of IR) was not associated with it.

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.

The Relationship Between Insulin Resistance and Obesity and Serum Anti-Mullerian Hormone Level in Chinese Women with Polycystic Ovary Syndrome: A Retrospective, Single-Center Cohort Study

Background

Anti-Mullerian hormone (AMH) is vital in the pathophysiological process of polycystic ovary syndrome (PCOS). The exact relationship between obesity and insulin resistance (IR) with AMH levels remains unclear.

Methods

A retrospective, single-center cohort study of 220 women with PCOS who underwent physical, endocrine, and metabolic assessments were performed. Patients were grouped by age, body mass indices (BMI), Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), and different phenotypes. Pearson correlation analysis assessed the correlation between AMH and HOMA-IR, BMI, and other PCOS indicators, and multiple linear regression analysis was performed to determine factors influencing AMH.

Results

In 220 patients with PCOS, serum AMH levels decreased with age and were significantly higher in the IR group than in the non-IR group (P < 0.01). AMH increased significantly in anovulatory patients with hyperandrogenemia and/or polycystic ovary, with no significant difference between obese and non-obese individuals. AMH levels correlated positively with luteinizing hormone (LH), LH/follicular stimulating hormone (FSH), testosterone, fasting insulin (FINS), and HOMA-IR levels; negatively with age and BMI levels (P < 0.05) and weakly with fasting plasma glucose in the classical PCOS phenotype (r=0.148, P < 0.05). Regression analysis showed that age, testosterone, FINS, LH, LH/FSH, and BMI influenced AMH levels (P < 0.05).

Conclusion

Chinese women with PCOS-IR showed associations with greater AMH levels. AMH levels correlated positively with HOMA-IR levels and negatively with BMI. AMH combined with BMI and HOMA-IR levels may help determine PCOS severity.

Association between HOMA-IR and ovarian sensitivity index in women with PCOS undergoing ART: A retrospective cohort study

INTRODUCTION

Insulin resistance (IR) may play a central role in the pathophysiology of polycystic ovary syndrome (PCOS). Controlled ovarian stimulation (COS) in PCOS women in the setting of assisted reproductive technology (ART) is always a challenge for clinicians. However, it remains unclear whether IR in women with PCOS correlates with reduced ovarian sensitivity to exogenous gonadotropin (Gn). This study aimed to explore the association between homeostasis model assessment of insulin resistance (HOMA-IR) and ovarian sensitivity index (OSI).

METHODS

In this retrospective cohort study, we explored the association between Ln HOMA-IR and Ln OSI based on smoothing splines generated by generalized additive model (GAM). Then the correlation between HOMA-IR and OSI was further tested with a multivariable linear regression model and subgroup analysis.

RESULTS

1508 women with PCOS aged 20-39 years undergoing their first oocyte retrieval cycle were included consecutively between 2018 until 2022. We observed a negative association between Ln HOMA-IR and Ln OSI by using smoothing splines. In multivariable linear regression analysis, the inverse association between Ln HOMA-IR and Ln OSI was still found in PCOS women after adjustment for potential confounders (β = -0.18, 95% CI -0.25, -0.11). Compared with patients with the lowest tertile of HOMA-IR, those who had the highest tertile of HOMA-IR had lower OSI values (β = -0.25, 95% CI -0.36, -0.15).

DISCUSSION

Our study provided evidence for the inverse correlation between IR and the ovarian sensitivity during COS in PCOS women. Herein, we proposed new insights for individualized manipulation in PCOS patients with IR undergoing ART.

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.

Use of anti-Müllerian hormone for understanding ovulatory dysfunction in polycystic ovarian syndrome

PURPOSE OF REVIEW

The aim of this review is to understand how anti-Müllerian hormone (AMH) contributes to ovulatory dysfunction in polycystic ovarian syndrome (PCOS).

RECENT FINDINGS

In the last few years, new findings have emerged on AMH and its role on the central nervous system causing ovulatory dysfunction.

SUMMARY

Anovulation is a prominent feature of PCOS. Women with anovulatory PCOS have higher AMH levels than in ovulatory PCOS. Higher levels of AMH may contribute to the pathophysiology of PCOS through central and peripheral actions. Once universal standardization is achieved to measure serum AMH, the benefits would be significant in diagnosing women with PCOS.

Diagnostic value of total testosterone and free androgen index measured by LC-MS/MS for PCOS and insulin resistance

BACKGROUND

The objective of the study was to explore the clinical significance of steroid hormones in the diagnosis of PCOS and PCOS-related insulin resistance through liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) and chemiluminescent immunoassay (CLIA).

METHODS

The study included 114 patients with PCOS and 100 controls. Steroid hormone levels in serum were measured using LC-MS/MS and CLIA. The Bland-Altman method was used to check the consistency between the two methods. The diagnostic value of the LC-MS/MS method for female hyperandrogenemia and PCOS was evaluated.

RESULTS

Women with PCOS were younger than controls on average (p < 0.001). PCOS patients had higher luteal hormone (LH, p < 0.001), insulin (p = 0.002), estradiol (E2, p < 0.001), total testosterone (TT, p < 0.001), free androgen index (FAI, p = 0.021), dehydroepiandrosterone sulfate (DHEA, p = 0.021), insulin resistance index (HOMA-IR) (p = 0.034), and fasting glucose (p = 0.017) levels than controls as measured by CLIA. The diagnostic value of TT was the best, and the area under the AUC curve was 0.766. Women with PCOS had higher androstenedione (A2, p < 0.001), FAI (p < 0.001), TT (p < 0.001), and 17-hydroxyprogesterone (17-OHP, p < 0.001) levels than controls as measured by LC-MS/MS. The ROC curve showed that the diagnostic efficacy of A2, TT, and 17-OHP was 0.830, 0.851, and 0.714, respectively. The consistency of TT detected by LC-MS/MS and CLIA was poor according to the Bland-Altman method. Detected TT by LC-MS/MS had the highest diagnostic efficiency for PCOS. The diagnostic power of the LC-MS/MS results for PCOS-related insulin resistance was analyzed. The results showed that the FAI had the highest diagnostic power, with an ROC curve of 0.798.

CONCLUSION

LC-MS/MS is more sensitive and accurate than CLIA in the determination of serum TT and FAI. TT is more effective for the diagnosis of PCOS, whereas FAI is more valuable in the diagnosis of insulin resistance.

Transforming growth factor β1 impairs the transcriptomic response to contraction in myotubes from women with polycystic ovary syndrome

Abstract

Polycystic ovary syndrome (PCOS) is characterised by a hormonal imbalance affecting the reproductive and metabolic health of reproductive‐aged women. Exercise is recommended as a first‐line therapy for women with PCOS to improve their overall health; however, women with PCOS are resistant to the metabolic benefits of exercise training. Here, we aimed to gain insight into the mechanisms responsible for such resistance to exercise in PCOS. We employed an in vitro approach with electrical pulse stimulation (EPS) of cultured skeletal muscle cells to explore whether myotubes from women with PCOS have an altered gene expression signature in response to contraction. Following EPS, 4719 genes were differentially expressed (false discovery rate <0.05) in myotubes from women with PCOS compared to 173 in healthy women. Both groups included genes involved in skeletal muscle contraction. We also determined the effect of two transforming growth factor β (TGFβ) ligands that are elevated in plasma of women with PCOS, TGFβ1 and anti‐Müllerian hormone (AMH), alone and on the EPS‐induced response. While AMH (30 ng/ml) had no effect, TGFβ1 (5 ng/ml) induced the expression of extracellular matrix genes and impaired the exercise‐like transcriptional signature in myotubes from women with and without PCOS in response to EPS by interfering with key processes related to muscle contraction, calcium transport and actin filament. Our findings suggest that while the fundamental gene expression responses of skeletal muscle to contraction is intact in PCOS, circulating factors like TGFβ1 may be responsible for the impaired adaptation to exercise in women with PCOS.

Key points

Gene expression responses to in vitro contraction (electrical pulse stimulation, EPS) are altered in myotubes from women with polycystic ovary syndrome (PCOS) compared to healthy controls, with an increased expression of genes related to pro‐inflammatory pathways.

Transforming growth factor β1 (TGFβ1) upregulates genes related to extracellular matrix remodelling and reduces the expression of contractile genes in myotubes, regardless of the donor's health status.

TGFβ1 alters the gene expression response to EPS, providing a possible mechanism for the impaired exercise adaptations in women with PCOS.

Comparative study of DHEA and letrozole induced polycystic ovary syndrome in post-pubertal rats

AIM

In order to select a suitable rat model for studying polycystic ovary syndrome (PCOS).

METHODS

Post-pubertal Sprague Dawley (SD) rats were allocated to four groups, abbreviated as the control 1 group, DHEA subcutaneous injection (DHEA) group, control 2 group, letrozole intragastric injection (letrozole) group. Body weight and the estrous cycle were monitored during the modeling. Serum stress hormones and reproductive hormones were evaluated by ELISA. The uterus and ovaries were weighed, ovarian follicle counts were calculated, and AR, LHR, FSHR, and AMH expression were assessed by immunohistochemistry.

RESULTS

In both model group subjected to the 30-day protocol of DHEA or letrozole, the mean body weights were significantly increased. Rats from both model group exhibited a significant increase of the mean length of the diestrous phase of the estrous cycle, the DHEA group had a longer diestrous phase. There was also a significant increase of serum T, E2, LH, insulin, and a significant decrease of AMH in both model group. There was a significant decrease of ovarian weight, P, and serum FSH, and a significant increase of uterus weight, serum LH/FSH in DHEA model group. There was no significant difference in serum P, FSH, and LH/FSH in letrozole model group. Both two model groups showed significantly higher AR, LHR, and AMH protein expression in rats' ovaries. FSHR protein expression in DHEA group was lower, and in letrozole model group was not different.

CONCLUSION

Compared with letrozole intragastric injection group, the pathological characteristics of DHEA subcutaneous injection group rats were closer to the characteristics of PCOS.

Lifestyle in adulthood can modify the causal relationship between BMI and islet function: using Mendelian randomization analysis

BACKGROUND

Body mass index was intimately associated with islet function, which was affected by various confounding factors. Among all methods of statistical analysis, Mendelian randomization best ruled out bias to find the causal relationship. In the present study, we explored the relationship between 13 East Asian body mass index-related genes reported previously and islet function using the Mendelian randomization method.

METHODS

A total of 2892 participants residing in northern China were enrolled. Anthropological information, such as sex, age, drinking status, smoking status, weight, height and blood pressure, was recorded for all participants. Fasting glucose and insulin were detected, and the insulin sensitivity index was calculated. 13 single nucleotide polymorphismss in East Asian body mass index -related genes were analysed with the ABI7900HT system.

RESULTS

Five genetic locus mutations, CDKAL1, MAP2K5, BDNF, FTO and SEC16B, were found to be associated with body mass index and were used to estimate the genetic risk score. We found that the genetic risk score was negatively associated with the insulin sensitivity index. Even after adjusted of confounding factors, the relationship showed statistical significance. A subsequent interaction effect analysis suggested that the negative relationship between the genetic risk score and insulin sensitivity index no longer existed in the nondrinking population, and smokers had a stronger negative relationship than nonsmokers.

CONCLUSION

We found a negative causal relationship between body mass index-related genetic locus mutations and insulin resistance, which might be increased by acquired lifestyle factors, such as drinking and smoking status.

Do serum hepassocin levels change in women with polycystic ovary syndrome?

BACKGROUND

Insulin resistance is common in polycystic ovary syndrome (PCOS), especially in obese patients. Hepassocin is a peptid marker which increases in obesity and insulin resistance.

OBJECTIVE

We aimed to investigate hepassocin levels in patients with PCOS in this study.

METHODS

This prospective case-control study was conducted with a total of 60 patients with PCOS and age-matched 30 healthy women with body mass index < 30. Patients with PCOS were classified as obese PCOS and non-obese PCOS according to their BMI. Hepassocin levels were measured by using a commercially available enzyme-linked immunosorbent assay (ELISA) kit. A multivariate linear regression analysis was used to determine independent factors related to hepassocin levels.

RESULTS

Hepassocin levels of the obese-PCOS group were found significantly higher than non-obese PCOS and control group (6.95 ± 3.59, 2.69 ± 2.51, 2.66 ± 2.22, respectively, p < 0.001). There was no significant difference in hepassocin levels between control and non-obese PCOS group (p = 0.99). Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) was independently associated with hepassocin concentrations after adjusting for age, low density lipoprotein C (LDL-C), high density lipoprotein C (HDL-C), triglyceride (TG), total testosterone, dehydroepiandrosterone sulfate (DHEA-S), and C reactive protein (CRP).

CONCLUSION

Obese patients with PCOS exhibited high serum levels of hepassocin. HOMA-IR index was found as the independent variable associated with high levels of hepassocin. Hepassocin can be used as a simple and easy way of detecting insulin resistance in obese patients with PCOS.

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.

Polycystic ovarian syndrome and infertility: overview and insights of the putative treatments

Infertility concerns 15% of the couples. Management of female infertility requires a complete history of the patient followed by a physical, gynecological and endocrine examination. Infertility etiology will be investigated thanks to different tests including ovarian function and reserve assessment, search for uterine abnormalities and evaluation of tubal permeability. Polycystic ovarian syndrome (PCOS) is a predominant cause of infertility and a common gyne-endocrine disorder affecting 7 to 15% of women in reproductive age. Behavioral, medical and surgical treatments have been evaluated in order to improve the fertility of women with PCOS. Lifestyle modifications (stop smoking, physical exercise and weight loss when necessary) are of the utmost importance. Clomiphene citrate remains the first line of medical treatment of infertility in women with PCOS in absence of other male or female causes of infertility. Use of metformin solely for infertility is not recommended in absence of metabolic anomaly and new treatment as myoinositol is emerging. Surgical techniques aiming to enhance ovulation and pregnancy rate are an option when medical treatment failed. Ovarian drilling by laparoscopy or by transvaginal hydrolaparoscopy is taking a larger place in the treatment of infertility. In vitro maturation and fertilization remain the third-line of treatment in PCOS.

Correlation of Homeostatic Model Assessment-Insulin Resistance, Anti-Mullerian Hormone, and BMI in the Characterization of Polycystic Ovary Syndrome

Objective: To evaluate the correlation of homeostatic model assessment-insulin resistance (HOMA-IR), anti-Mullerian hormone (AMH), and BMI and to compare their values across the different phenotypes in polycystic ovary syndrome (PCOS) women of the reproductive age group.

Study design: A total of 307 PCOS-diagnosed women were included in the study and further classified in different phenotypes. BMI, HOMA-IR, and serum AMH values were noted and their association with different phenotypes was seen. The correlation of these variables was also noted.

Results: Phenotype D was the most common phenotype followed by type A, type B, and type C. A total of 265 women had an AMH value of ≥4 mg/ml with the highest value in phenotype A followed by D, C, and B. HOMA-IR and BMI values did not vary significantly among different phenotypes. HOMA-IR and BMI had a statistically significant positive correlation and serum AMH was negatively correlated with HOMA-IR, but no significant correlation was seen between serum AMH and BMI. The biochemical parameters like luteinizing hormone (LH), follicle-stimulating hormone (FSH), LH: FSH ratio, and serum testosterone showed no correlation with phenotypes or any other clinical parameter.

Conclusion: HOMA-IR and BMI showed a statistically significant positive correlation indicating the need for lifestyle modification and weight reduction in PCOS women, which can further help in decreasing insulin resistance. A strong correlation of serum AMH levels and phenotypes shows the importance of serum AMH levels for classifying different PCOS phenotypes.

Anti-Müllerian hormone as a qualitative marker - or just quantity?

PURPOSE OF REVIEW

In this review, we will summarize research looking into anti-Müllerian hormone (AMH) as a measure of oocyte quality.

RECENT FINDINGS

AMH is a key factor involved in embryogenesis but also in the development of early follicles. Owing to its relatively small inter and intracycle variability, it has become a widely used method of ovarian reserve testing. In the realm of assisted reproductive technology, it has demonstrated a reliable ability to gauge the number of oocytes obtained during an in-vitro fertilization cycle. For these purposes, AMH is a readily measured quantitative tool. However, its qualitative role is as yet undefined.

SUMMARY

Although levels of this hormone have been associated with fertilization, blastulation, implantation, and clinical pregnancy rates, there is no clear link with live-birth rates. Furthermore, AMH levels do not appear to correspond with risk of fetal trisomy. AMH does show significant predictive value for the risk of premature ovarian insufficiency and time to onset of menopause.

Serum kisspeptin levels correlated with anti-mullerian hormone levels in women with and without polycystic ovarian syndrome

MATERIALS AND METHODS

This was a prospective, cross-sectional, comparative study that included 70 women with PCOS and 58 non PCOS controls. PCOS patients were diagnosed according to the Rotterdam criteria. Age, body mass index (BMI), number of menstrual cycles per year, and the Ferriman-Gallwey Score were determined for each woman. Serum levels of kisspeptin, follicle stimulating hormone (FSH), luteinizing hormone (LH), thyroid stimulating hormone (TSH), estradiol, total testosterone, dehydroepiandrosterone sulfate (DHEA-S), AMH, fasting glucose and insulin were determined.

RESULTS

Women with PCOS were younger (p < .001), with higher BMI (p = .027) and glucose values (p < .001); while displaying less number of menstrual cycles per year (p < .001). Although serum kisspeptin levels were similar in both groups, age was negatively (r= -0.33, p = .00018) and serum AMH levels were positively correlated (r = 0.25, p = .0039) with the serum kisspeptin levels in women with the PCOS. After adjusting for age, serum kisspeptin levels were comparable in both groups (p > .05). Serum LH, AMH, DHEA-S and total testosterone glucose, insulin levels and HOMA-IR values were significantly higher in women with PCOS as compared to controls (all p < .05).

CONCLUSIONS

Serum kisspeptin levels were similar in women with and without PCOS but positively correlated with AMH serum levels in PCOS women.

The gut microbial composition in polycystic ovary syndrome with insulin resistance: findings from a normal-weight population

Background

Limited studies have reported the relationship between intestinal flora dysbiosis and clinical characteristics in polycystic ovary syndrome (PCOS). However, the structure and characteristics of gut microbiota in PCOS have not been fully elucidated.

Objective

To analyze the composition of the Intestinal flora population in normal-weight women with PCOS and insulin resistance(IR) compared to PCOS alone and healthy women.

Methods

A total of 14 PCOS patients with insulin resistant(PCOS-IR) and 12 PCOS alone (PCOS-NIR), and 10 age- and body mass index-matched healthy control women (HC). BMI: 18.5–23.9 kg/m². The bacterial 16 S rDNA V3-V4 fragment was amplified and sequenced. Then, the sequencing data were analyzed for species annotation, community diversity, and inter-group differences, to explore gut microbial characteristics of the subjects and their correlation with clinical parameters.

Results

No significant difference in diversity was observed between PCOA and sample cluster analysis among the three groups (Beta-diversity) and Alpha-diversity. The relative abundance of Rothia, Ruminococcus, and Enterococcus was significantly higher in the PCOS-IR group than in the other two groups (P < 0.05), while that of Prevotella was dramatically decreased (P < 0.05). The abundance of Enterococcus was positively correlated with waist circumference, hip circumference, diastolic blood pressure, and insulin resistance index. Meanwhile, Rothia abundance is positively associated with waist circumference and free fatty acids.

Conclusions

The gut microbial composition of PCOS patients with insulin resistance is different from that of PCOS alone and healthy women. The difference is correlated with the clinical characteristics of PCOS, with regards to insulin resistance, abdominal obesity, free fatty acids, and other indicators. PCOS-IR patients have an increased abundance of Enterococcus which potentially the intestinal environment of the host by enriching the metabolic pathways related to insulin resistance, causing the occurrence and development of PCOS.

High throughput microRNAs sequencing profile of serum exosomes in women with and without polycystic ovarian syndrome

Background

Polycystic ovary syndrome (PCOS) is the most common type of endocrine disorder, affecting 5–11% of women of reproductive age worldwide. microRNAs (miRNAs) stably exist in circulating blood encapsulated in extracellular vesicles such as exosomes; therefore, serum miRNAs have the potential to serve as novel PCOS biomarkers.

Methods

To identify miRNA biomarkers that are associated with PCOS, we performed a comprehensive sequence-based characterization of the PCOS serum miRNA landscape. The serum exosomes were successfully isolated and characterized in a variety of ways. Next, sequence-based analysis was performed on serum exosomes to screen the differentially expressed miRNAs in women with and without PCOS.

Results

The sequence data revealed that the levels of 54 miRNAs significantly differed between PCOS patients and normal controls. The levels of these miRNAs were detected by RT-qPCR. The results show that hsa-miR-1299, hsa-miR-6818-5p hsa-miR-192-5p, and hsa-miR-145-5p are significantly differentially expressed in PCOS patients serum exosomes and identify these microRNAs as potential biomarkers for PCOS. Furthermore, Gene Ontology (GO) analyses and KEGG pathway analyses of the miRNA targets further allowed to explore the potential implication of the miRNAs in PCOS.

Conclusion

Our findings suggest that serum exosomal miRNAs serve important roles in PCOS and may be used as novel molecular biomarkers for clinical diagnosis.

Milk and Dairy Products and Their Impact on Carbohydrate Metabolism and Fertility-A Potential Role in the Diet of Women with Polycystic Ovary Syndrome

Milk and dairy products are considered an important component of healthy and balanced diet and are deemed to exert a positive effect on human health. They appear to play a role in the prevention and treatment of carbohydrate balance disturbances. The products include numerous valuable components with a potential hypoglycemic activity, such as calcium, vitamin D, magnesium and probiotics. Multiple authors suggested that the consumption of dairy products was negatively associated with the risk of type 2 diabetes mellitus, insulin resistance and ovulation disorders. However, there are still numerous ambiguities concerning both the presumed protective role of dairy products in carbohydrate metabolism disorders, and the advantage of consuming low-fat dairy products over high-fat ones, especially in women with the risk of ovulation disorders. Therefore, this literature review aims at the presentation of the current state of knowledge concerning the relationship between dairy product consumption and the risk of insulin resistance, type 2 diabetes mellitus in women, and the potential effect on the course of polycystic ovary syndrome.

Disorders of the glucose metabolism correlate with the phenotype and the severity in women with polycystic ovary syndrome

BACKGROUND

Different polycystic ovary syndrome (PCOS) phenotypes are correlated with different clinical severity levels. Insulin resistance correlates with higher severity. In a retrospective study, 130 patients with polycystic ovary syndrome were examined for insulin resistance. The aim of the study was to investigate relationships between glucose metabolism and different PCOS phenotypes and to identify biomarkers or combinations thereof to obtain information on the type of metabolic disorder or the severity of PCOS.

METHODS

A total of 130 patients with PCOS were included in the study. Biometric data such as weight, height, cycle day and cycle length were compared with glucose metabolism parameters such as fasting glucose, insulin before and 60 and 120 minutes after 75 g glucose intake, intact proinsulin, C-peptide and ovarian function parameters including Anti-Müllerian hormone (AMH) and the soluble AMH receptor (sAMHR2). The parameters were correlated, and their diagnostic performance with respect to different expressions of PCOS was evaluated.

RESULTS

The biomarkers of impaired glucose metabolism showed strong significant difference in HOMA Index, adiponectin, proinsulin and body mass index (BMI) and Insulin levels in 0-60-120 minutes of glucose tolerance test but also with parameters of ovarian function as AMH, AMH z-score sAMHR2, and sAMHR2/AMH ratio. A strong correlation between sAMHR2 and adiponectin (r = .818, P < .0001) was found indicating a relationship between the degree of glucose metabolic impairment and ovarian function.

CONCLUSIONS

The parameters glucose, insulin, insulin 60 minutes after intake of 75 g glucose and adiponectin or sAMHR2 enable a biochemical classification of PCOS patients that correlates with morphological PCOS phenotypes. By determining biomarkers, it is possible to classify PCOS patients into subgroups that correlate with different PCOS phenotypes and the clinical severity.

Role of gut microbiota in the development of insulin resistance and the mechanism underlying polycystic ovary syndrome: a review

Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder. Typically, it is characterized by hirsutism, hyperandrogenism, ovulatory dysfunction, menstrual disorders and infertility. To date, its pathogenesis remains unclear. However, insulin resistance (IR) is considered as the primary pathological basis for its reproductive dysfunction. On the other hand, a condition in which insulin is over-secreted is called hyperinsulinemia. IR/Hyperinsulinemia is associated with chronic inflammation, hormonal changes, follicular dysplasia, endometrial receptivity changes, and abortion or infertility. Additionally, it increases incidence of complications during pregnancy and has been associated with anxiety, depression, and other psychological disorders. Gut microbiota, the "second genome" acquired by the human body, can promote metabolism, immune response through interaction with the external environment. Gut microbiota dysbiosis can cause IR, which is closely linked to the occurrence of PCOS. This article reviewed recent findings on the roles of gut microbiota in the development of insulin resistance and the mechanism underlying polycystic ovary syndrome.

Correlation of body mass index (BMI), anti-mullerian hormone (AMH), and insulin resistance among different polycystic ovary syndrome (PCOS) phenotypes - a cross-sectional study

One hundred and fifty infertile polycystic ovary syndrome (PCOS) women were classified into four phenotypes on the basis of Rotterdam criteria. Homeostatic model assessment of insulin resistance (HOMA-IR) with a cutoff ≥2.5 was considered as a measure of insulin resistance (IR). Maximum number of patients, 57 (38%) in our cohort belonged to phenotype A or the classical phenotype with all 3 features of Rotterdam criteria. Mean body mass index (BMI) in all phenotypes was more than 25 kg/m² and the highest was seen in phenotype B. According to BMI categories in the four phenotypes, more number of women was in the obese category in phenotype A (24.5%) and B (56.5%) in comparison to phenotype C (18.2%) and D (10.8%) (p<.001). There was no difference in median HOMA-IR among different phenotype categories (p=.718). The median value of anti-mullerian hormone (AMH) was highest in phenotype A (11.68 ng/ml [7.94-16.46]) and significantly more in comparison to B phenotype (Kruskal-Wallis, p=.018). Thus there is heterogeneity in AMH levels and BMI in different PCOS phenotypes with higher levels in the most severe phenotypes. There is, however, no correlation of IR among the different phenotype groups and further investigation is needed to characterize its role in phenotypic classification.

Can we use serum Anti-Mullerian hormone to differentiate the diagnosis between polycystic ovary syndrome patients and healthy women with polycystic ovarian morphology and regular menstrual cycles

Objectives:

To compare Anti-Mullerian hormone (AMH) concentrations between polycystic ovary syndrome (PCOS) patients and healthy women who have polycystic ovarian morphology (PCOM) with regular menstrual cycles, and to determine a diagnostic cutoff value for PCOS women during reproductive period.

Methods:

This study was carried out between February 2013 and October 2017 at the Department of Obstetrics and Gynecology, İzmir Katip Çelebi University Atatürk Training and Research Hospital, Izmir, Turkey. Seventy PCOS patients and 70 PCOM women with normal menstrual cycles were included in the study. Blood samples of the subjects were obtained following an 8-hour fast for AMH and biochemical assessments, serum gonadotropin, and androgen measurements.

Results:

The mean serum AMH levels of PCOS patients were found to be higher than PCOM women with normal menstrual cycles (p<0.01). The optimal serum AMH cutoff value for PCOS diagnosis was determined as 3.51 ng/ml (sensitivity 72.8%, specificity 75.7%).

Conclusion:

Serum AMH concentrations are significantly higher in PCOS patients independent from the ovarian morphology and number of follicles per ovary. Positive and negative predictive values of AMH in PCOS diagnosis were found to be 75% and 73.6%, respectively, with a cutoff value of 3.51 ng/mL.

[Efficacy and metabolic safety of long-term treatment with ethinyl oestradiol/cyproterone and desogestrel/ethinyl oestradiol tablets in women with polycystic ovary syndrome]

OBJECTIVE

To evaluate the efficacy and metabolic safety of long-term treatment with ethinyl oestradiol/cyproteroneand desogestrel/ethinyl oestradiol tablets in women with polycystic ovary syndrome (PCOS).

METHODS

Women with PCOSfrom West China Second Hospital of Sichuan University enrolled between September, 2011 and August, 2013 were randomlyallocated to receive either ethinyl oestradiol/cyproterone tablets (Group A, n=355) or desogestrel/ethinyl oestradiol tablets(Group B, n=357) for a prospective observation period of 6 months. Women with insulin resistance also received metformin. Atbaseline, 3 months, and 6 months, the patients were evaluated for menstruation, acne score, body mass index (BMI), waist-tohip ratio (WHR), plasma levels of sex hormones, fasting blood glucose (FPG), HOMA-insulin resistance index (HOMA-IR), serum lipid, ovarian volume, and the number of ovarian follicles.

RESULTS

All the patients had a regular menstrual cycle aftertreatments. Testosterone level, acne score, LH/FSH, ovarian volume, and the number of follicles decreased significantly afterthe treatments without significant differences between the two groups. Significant increases were noted in TG, TCh, LDL, HDL, and AIP, and HDL level in group A as compared with group B (P < 0.001). FPG decreased in both groups, and wassignificantly lower in group B at 6 months (P < 0.05). BMI and WHR decreased in all the patients with insulin resistance aftercombination treatment with metformin (P < 0.05), but increased significantly in patients without insulin resistance (P < 0.05). Ingroup A, HOMA- IR significantly increased in patientswithout insulin resistance at 3 months (P < 0.05), whereas asignificant increase was not observed until 6 months ingroup B (P < 0.05).

CONCLUSIONS

Both ethinyl oestradiol/cyproterone tablets and desogestrel/ethinyl oestradioltablets can relieve the symptoms of PCOS, but it isadvisable to assess the risk of cardiovascular diseasebefore the treatments.