The role of anti-Mullerian hormone and other correlates in patients with polycystic ovary syndrome.

BACKGROUND: Anti-Müllerian hormone (AMH) has recently emerged as a promising biomarker for the detection of polycystic ovarian morphology. In polycystic ovary syndrome (PCOS), an elevated level of AMH has been suggested to add value to the Rotterdam criteria in cases of diagnostic uncertainty. In this study, we evaluated the correlation between AMH and PCOS, and the potential role of AMH in PCOS diagnosis. METHODS: A case-control study was performed on a total of 200 females, 100 of which were diagnosed with PCOS as per Rotterdam revised criteria (2003) and 100 as the control (non-PCOS group). Patient medical records were therefore retrieved for clinical, biochemical and ultrasound markers for PCOS diagnosis. Sensitivity, specificity, area under receiver operating characteristic (AUROC) curve, and multivariate linear regression models were applied to analyze our data. RESULTS: Mean serum levels of LH and AMH, and LH/FSH ratio were significantly different between compared groups. In the PCOS group, the mean serum AMH level was 6.78 ng/mL and LH/FSH ratio was 1.53 while those of controls were 2.73 ng/mL and 0.53, respectively (p < .001). The most suitable compromise between 81% specificity and 79% sensitivity was obtained with a cutoff value of 3.75 ng/mL (26.78 pmol/L) serum AMH concentration for PCOS prediction, with an AUROC curve of 0.9691. CONCLUSION: Serum AMH cutoff level of 3.75 ng/mL was identified as a convenient gauge for the prediction of PCOS and an adjuvant to the Rotterdam criteria.

Efficacy of serum anti-mullerian hormone (AMH) levels for prediction of polycystic ovary syndrome (PCOS) and its association with clinical, biochemical and hormonal parameters.

Anti-mullerian hormone (AMH) has been proposed to add significance to diagnosis of PCOS in case of ambiguity. However, variable cutoffs of AHM among PCOS women have been reported. Using case-control design, this study investigated the diagnostic threshold of serum AMH levels among age matched 113 PCOS and 75 normo-ovulatory women and its correlation with clinical, hormonal and ultrasonographic parameters.PCOS was defined as per Rotterdam criteria 2003. Results depicted the mean serum AMH level to be significantly higher in PCOS group (7.84 ± 3.67vs. 3.23 ± 1.56 ng/mL) than controls. The AMH levels were positively(p = 0.001) associated with ovarian volume (r = 0.521) as well as number of ovarian follicles(r = 0.461). Further, serum AMH levels showed a positive correlation with luteinizing hormone/follicle stimulating hormone (LH/FSH) ratio (r = 0.206, p = 0.02), but no correlation significant with age, BMI,FG score and testosterone levels. As per receiver operating characteristic (ROC) curve, cut-off was worked out to be 3.76 ng/ml with 86.7% sensitivity and 62.7% specificity. The mean level of AMH were highest among PCOS women with phenotype A (12.67 ± 3.46 ng/ml) with least among PCOS women displaying phenotype B(7.28 ± 1.60 ng/ml) where there is absence of PCOM. In conclusion, serum AMH levels are highly predictive of PCOM and high LH/FSH ratio among PCOS women and may be a potent diagnostic marker of ovarian dysfunction either alone or in conjunction with other tools. Supplementary Information: The online version contains supplementary material available at 10.1007/s12291-022-01058-4.

Hyperandrogenism and menstrual imbalance are the best predictors of metformin response in PCOS patients.

BACKGROUND: Moving from the correlation between insulin-resistance and PCOS, metformin has been administered in some PCOS women improving ovulatory and metabolic functions and decreasing androgen levels. Inconsistency and unpredictability of response to metformin limit its extensive use. Aim of this study was to identify reliable predictors of response to metformin therapy for weight loss and reduction in plasma androgen levels using ANNs (artificial neural networks). METHODS: One hundred eight consecutive women with PCOS (ESHRE/ASRM 2003 Rotterdam criteria) treated with metformin 1500 mg/day, at inclusion and every 6 months underwent to a complete clinical, endocrine/metabolic assessment and ultrasonographic evaluation. Therapy outcomes were BMI reduction (≥1 kg/m2) in overweight/obese and free-androgen-index (FAI) decrease (≥1%) in hyperandrogenemic women. Semantic connectivity maps (SCMs) were obtained through Auto-CM, a fourth generation ANN, to compare patients' baseline clinical features to the treatment outcomes. Multivariate logistic regression analysis was used to assess the major predictor in drop-out patients and the associated risk. RESULTS: At 6 months 54 out of 103 (52,4%) obese patients showed BMI reduction and 45 out of 89 (50,6%) hyperandrogenemic women showed FAI decrease. The further response rates at 12 months were 30,6 and 47%, respectively. SCMs showed a clear polarization for both the outcomes with elevated accuracy. Treatment responsiveness resulted strictly related to oligo-amenorrhea and hyperandrogenemia at baseline. In addition, lower serum testosterone levels at baseline were found to be the major predictor of treatment discontinuation. CONCLUSIONS: In women with PCOS, menstrual pattern imbalance and ovarian androgens excess are the best predictors of metformin response. They may pave the way for a rethinking of the criteria for evaluating hyperandrogenism in order to better define the large population included in the diagnosis of PCOS. Baseline plasma testosterone level can serve as a sensitive marker to predict treatment compliance.

Irregular menstruation and hyperandrogenaemia in adolescence are associated with polycystic ovary syndrome and infertility in later life: Northern Finland Birth Cohort 1986 study.

STUDY QUESTION: Do teenage girls with a history of menstrual irregularity and/or elevated androgen levels in adolescence exhibit an increased risk of polycystic ovary syndrome (PCOS) and/or infertility later on in adulthood? SUMMARY ANSWER: Our results suggest that menstrual irregularity and/or elevated androgen levels at 16 years are still associated with symptoms of PCOS at 26 years as well as infertility problems at 26 years but not with decreased pregnancy or delivery rates at 26 years. WHAT IS KNOWN ALREADY: Hyperandrogenaemia is associated with menstrual irregularity, hirsutism, acne and potentially higher risk for PCOS, but there are few follow-up studies investigating whether adolescent hyperandrogenaemia and/or menstrual irregularity are an early sign of PCOS. STUDY DESIGN, SIZE, DURATION: A prospective population-based cohort study was conducted using two postal questionnaires targeting girls in the Northern Finland Birth Cohort 1986 (NFBC1986, n = 4567). The NFBC1986 comprises all expected births from the year 1986 in the two northernmost provinces of Finland. Collection of the database was performed at the age of 16 and 26. The 16-year and 26-year questionnaires included one question about the regularity and length of the menstrual cycle. The 26-year questionnaire also included questions about symptoms of PCOS, reproduction and infertility problems. PARTICIPANTS, SETTING, METHODS: The response rates for the questionnaires were 80% (n = 3669) at 16 years and 50% (n = 2270) at 26 years. At 15-16 years, of 2448 girls, 709 (29%) girls reported menstrual irregularity (symptomatic girls) and 1739 (71%) had regular periods (non-symptomatic girls). After combining data from the two questionnaires a total of 2033 girls were included in the analyses. The χ(2) and Student's t-test was used to compare reproductive outcome and prevalence of clinical hyperandrogenaemia, PCOS and infertility at 26 years between the study groups. Univariate and multivariate logistic regression models were employed to estimate the association of menstrual irregularity at 16 years with clinical hyperandrogenaemia, PCOS and infertility at 26 years. MAIN RESULTS AND THE ROLE OF CHANCE: At follow-up, the proportion of symptomatic girls who had conceived at least once (68.0 versus 67.9%) and had delivered at least one child (25.7 versus 28.1%) was similar to the non-symptomatic women and the groups had similar miscarriage rates (11.6 versus 12.1%). Logistic regression analyses indicated that menstrual irregularity at 16 years was associated with an increased risk of menstrual irregularity [adjusted odds ratio (OR) 1.37, 95% confidence interval (CI) 1.00-1.88, P = 0.050], PCOS (adjusted OR 2.91, 95% CI 1.74-4.84, P < 0.001) and infertility problems (adjusted OR 2.07, 95% CI 1.16-3.76, P = 0.013) at 26 years. At 26 years, women with PCOS (P = 0.013), hirsutism (P = 0.001) and acne (P < 0.001) exhibited significantly higher values of free androgen index (FAI) at 16 years than control women. There was a significant linear trend in the higher FAI quartiles at 16 years towards higher prevalence of PCOS (P = 0.005), hirsutism (P < 0.001) and acne (P < 0.001) at 26 years. Only 10.5% of the girls with menstrual irregularity at 16 years had PCOS at 26 years. LIMITATIONS, REASONS FOR CAUTION: The diagnosis of menstrual irregularity was based on a self-reported questionnaire, thus introducing a risk of information bias in reporting the symptoms. Moreover, ovarian ultrasonography was not available to aid the diagnosis of PCOS and there was no clinical evaluation of hyperandrogenism. The relatively low rate of participation to the questionnaire at 26 years may also have biased the results. WIDER IMPLICATIONS OF THE FINDINGS: Our findings confirm that menstrual irregularity and/or elevated androgen levels are already present in adolescence in women with PCOS and infertility in later life, which strengthens the importance of early identification of menstrual irregularity. STUDY FUNDING/COMPETING INTERESTS: This work was supported by grants from the Finnish Medical Society Duodecim, the North Ostrobothnia Regional Fund, the Academy of Finland, the Sigrid Juselius Foundation, University Hospital Oulu and University of Oulu, the European Commission and the Medical Research Council, UK, Welcome Trust (089549/Z/09/Z). None of the authors have any conflict of interest.

Polycystic Ovarian Syndrome.

Polycystic ovarian syndrome (PCOS) is a complex, familial, polygenetic metabolic condition. The Rotterdam criteria are commonly used to diagnose PCOS. Lifestyle changes are the first-line treatment of PCOS. Treatment options for menstrual irregularities and hirsutism are based on the clinical goals and preferences of the patient. Along with treating the symptoms of PCOS, it is essential to screen and treat the comorbid conditions commonly associated with PCOS, including type 2 diabetes mellitus, obesity, nonalcoholic fatty liver disease, hyperlipidemia, obstructive sleep apnea, anxiety, depression, infertility, and vitamin D deficiency.

Regional fat depots and their relationship to bone density and microarchitecture in young oligo-amenorrheic athletes.

CONTEXT: Various fat depots have differential effects on bone. Visceral adipose tissue (VAT) is deleterious to bone, whereas subcutaneous adipose tissue (SAT) has positive effects. Also, marrow adipose tissue (MAT), a relatively newly recognized fat depot is inversely associated with bone mineral density (BMD). Bone mass in athletes depends on many factors including gonadal steroids and muscle mass. Exercise increases muscle mass and BMD, whereas, estrogen deficiency decreases BMD. Thus, the beneficial effects of weight-bearing exercise on areal and volumetric BMD (aBMD and vBMD) in regularly menstruating (eumenorrheic) athletes (EA) are attenuated in oligo-amenorrheic athletes (OA). Of note, data regarding VAT, SAT, MAT and regional muscle mass in OA compared with EA and non-athletes (C), and their impact on bone are lacking. METHODS: We used (i) MRI to assess VAT and SAT at the L4 vertebra level, and cross-sectional muscle area (CSA) of the mid-thigh, (ii) 1H-MRS to assess MAT at L4, the proximal femoral metaphysis and mid-diaphysis, (iii) DXA to assess spine and hip aBMD, and (iv) HRpQCT to assess vBMD at the distal radius (non-weight-bearing bone) and tibia (weight-bearing bone) in 41 young women (20 OA, 10 EA and 11 C 18-25 years). All athletes engaged in weight-bearing sports for ≥ 4 h/week or ran ≥ 20 miles/week. MAIN OUTCOME MEASURES: VAT, SAT and MAT at L4; CSA of the mid-thigh; MAT at the proximal femoral metaphysis and mid-diaphysis; aBMD, vBMD and bone microarchitecture. RESULTS: Groups had comparable age, menarchal age, BMI, VAT, VAT/SAT and spine BMD Z-scores. EA had higher femoral neck BMD Z-scores than OA and C. Fat mass was lowest in OA. SAT was lowest in OA (p = 0.048); L4 MAT was higher in OA than EA (p = 0.03). We found inverse associations of (i) VAT/SAT with spine BMD Z-scores (r = -0.42, p = 0.01), (ii) L4 MAT with spine and hip BMD Z-scores (r = -0.44, p = 0.01; r = -0.36, p = 0.02), and vBMD of the radius and tibia (r = -0.49, p = 0.002; r = -0.41, p = 0.01), and (iii) diaphyseal and metaphyseal MAT with vBMD of the radius (r ≤ -0.42, p ≤ 0.01) and tibia (r ≤ -0.34, p ≤ 0.04). In a multivariate model including VAT/SAT, L4 MAT and thigh CSA, spine and hip BMD Z-scores were predicted inversely by L4 MAT and positively by thigh CSA, and total and cortical radius and total tibial vBMD were predicted inversely by L4 MAT. VAT/SAT did not predict radius or tibia total vBMD in this model, but inversely predicted spine BMD Z-scores. When L4 MAT was replaced with diaphyseal or metaphyseal MAT in the model, diaphyseal and metaphyseal MAT did not predict aBMD Z-scores, but diaphyseal MAT inversely predicted total vBMD of the radius and tibia. These results did not change after adding percent body fat to the model. CONCLUSIONS: VAT/SAT is an inverse predictor of lumbar spine aBMD Z-scores, while L4 MAT is an independent inverse predictor of aBMD Z-scores at the spine and hip and vBMD measures at the distal tibia and radius in athletes and non-athletes. Diaphyseal MAT independently predicts vBMD measures of the distal tibia and radius.

Evaluation of Fenugreek (Trigonella foenum-graceum L.), Effects Seeds Extract on Insulin Resistance in Women with Polycystic Ovarian Syndrome.

PCOS (Polycystic Ovarian Syndrome) is associated with insulin resistance, obesity and disorders of lipid metabolism as well as infertility. Fenugreek seeds extract is successfully used in lowering blood glucose. Metformin has also the same effect but in a different way. The aim of this study was the assessment of fenugreek effects on insulin resistance in women with PCOS. This was a prospective randomized, double-blind, placebo-controlled trial. The study was conducted at the Montaserieh Hospital in Mashhad University of Medical Sciences, Mashhad, Khorasan Razavi Province, Iran. The patient population included 58 oligo-anovulatory PCOS women with typical ovaries. Women were randomly allocated to receive hydroalcoholic extract of fenugreek seeds in capsules with metformin (n = 30) or placebo capsules with metformin (n = 28) and were assessed before and every 4 weeks within a treatment period of 8 weeks. Menstrual disturbance and metabolic parameters (markers of insulin resistance and hormonal parameters) were measured. Insulin resistance based on HOMA-IR (homeostasis model assessment for insulin resistance) model was not significantly different between two groups. Ultrasound scans were performed before and at the end of 8 weeks treatment with significant decrease in PAO (polycystic appearing ovaries) in group 1 (p = 0/01). Adjuvant therapy to the fenugreek seeds extract (with metformin) in PCOS women improved the sonographic results and menstrual cyclicity.