Anti-Müllerian Hormone in Pathogenesis, Diagnostic and Treatment of PCOS.

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among reproductive-aged women. It is characterized by chronic anovulation, hyperandrogenism, and the presence of polycystic ovary in ultrasound examination. PCOS is specified by an increased number of follicles at all growing stages, mainly seen in the preantral and small antral follicles and an increased serum level of Anti-Müllerian Hormone (AMH). Because of the strong correlation between circulating AMH levels and antral follicle count on ultrasound, Anti-Müllerian Hormone has been proposed as an alternative marker of ovulatory dysfunction in PCOS. However, the results from the current literature are not homogeneous, and the specific threshold of AMH in PCOS and PCOM is, therefore, very challenging. This review aims to update the current knowledge about AMH, the pathophysiology of AMH in the pathogenesis of PCOS, and the role of Anti-Müllerian Hormone in the treatment of this syndrome.

Preconception Perceived Stress Is Associated with Reproductive Hormone Levels and Longer Time to Pregnancy.

BACKGROUND: Women who experience pregnancy loss are especially prone to high stress, though the effects of stress on reproductive outcomes in this vulnerable population are unknown. We assessed relationships between perceived stress and hormones, anovulation, and fecundability among women with prior loss. METHODS: One thousand two hundred fourteen women with 1-2 prior losses were followed for ≤6 cycles while attempting pregnancy and completed end-of-cycle stress assessments. For cycles 1 and 2, women also collected daily urine and completed daily perceived stress assessments. We assessed anovulation via. an algorithm based on human chorionic gonadotropin (hCG), pregnanediol-3-glucuronide (PdG), luteinizing hormone (LH), and fertility monitor readings. Pregnancy was determined via. hCG. Adjusted weighted linear mixed models estimated the effect of prospective phase-varying (menses, follicular, periovulatory, and luteal) perceived stress quartiles on estrone-1-glucuronide (E1G), PdG, and LH concentrations. Marginal structural models accounted for time-varying confounding by hormones and lifestyle factors affected by prior stress. Poisson and Cox regression estimated risk ratios and fecundability odds ratios of cycle-varying stress quartiles on anovulation and fecundability. Models were adjusted for age, race, body mass index (BMI), parity, and time-varying caffeine, alcohol, smoking, intercourse, and pelvic pain. RESULTS: Women in the highest versus lowest stress quartile had lower E1G and PdG concentrations, a marginally higher risk of anovulation [1.28; 95% confidence interval (CI) = 1.00, 1.63], and lower fecundability (0.71; 95% CI = 0.55, 0.90). CONCLUSION: Preconception perceived stress appears to adversely affect sex steroid synthesis and time to pregnancy. Mechanisms likely include the effects of stress on ovulatory function, but additional mechanisms, potentially during implantation, may also exist.

Gonadotrophins versus clomiphene citrate with or without IUI in women with normogonadotropic anovulation and clomiphene failure: a cost-effectiveness analysis.

STUDY QUESTION: Are six cycles of ovulation induction with gonadotrophins more cost-effective than six cycles of ovulation induction with clomiphene citrate (CC) with or without IUI in normogonadotropic anovulatory women not pregnant after six ovulatory cycles with CC? SUMMARY ANSWER: Both gonadotrophins and IUI are more expensive when compared with CC and intercourse, and gonadotrophins are more effective than CC. WHAT IS KNOWN ALREADY: In women with normogonadotropic anovulation who ovulate but do not conceive after six cycles with CC, medication is usually switched to gonadotrophins, with or without IUI. The cost-effectiveness of these changes in policy is unknown. STUDY DESIGN, SIZE, DURATION: We performed an economic evaluation of ovulation induction with gonadotrophins compared with CC with or without IUI in a two-by-two factorial multicentre randomized controlled trial in normogonadotropic anovulatory women not pregnant after six ovulatory cycles with CC. Between December 2008 and December 2015 women were allocated to six cycles with gonadotrophins plus IUI, six cycles with gonadotrophins plus intercourse, six cycles with CC plus IUI or six cycles with CC plus intercourse. The primary outcome was conception leading to a live birth achieved within 8 months of randomization. PARTICIPANTS/MATERIALS, SETTING, METHODS: We performed a cost-effectiveness analysis on direct medical costs. We calculated the direct medical costs of ovulation induction with gonadotrophins versus CC and of IUI versus intercourse in six subsequent cycles. We included costs of medication, cycle monitoring, interventions, and pregnancy leading to live birth. Resource use was collected from the case report forms and unit costs were derived from various sources. We calculated incremental cost-effectiveness ratios (ICER) for gonadotrophins compared to CC and for IUI compared to intercourse. We used non-parametric bootstrap resampling to investigate the effect of uncertainty in our estimates. The analysis was performed according to the intention-to-treat principle. MAIN RESULTS AND THE ROLE OF CHANCE: We allocated 666 women in total to gonadotrophins and IUI (n = 166), gonadotrophins and intercourse (n = 165), CC and IUI (n = 163), or CC and intercourse (n = 172). Mean direct medical costs per woman receiving gonadotrophins or CC were €4495 versus €3006 (cost difference of €1475 (95% CI: €1457-€1493)). Live birth rates were 52% in women allocated to gonadotrophins and 41% in those allocated to CC (relative risk (RR) 1.24:95% CI: 1.05-1.46). The ICER was €15 258 (95% CI: €8721 to €63 654) per additional live birth with gonadotrophins. Mean direct medical costs per woman allocated to IUI or intercourse were €4497 versus €3005 (cost difference of €1510 (95% CI: €1492-€1529)). Live birth rates were 49% in women allocated to IUI and 43% in those allocated to intercourse (RR = 1.14:95% CI: 0.97-1.35). The ICER was €24 361 (95% CI: €-11 290 to €85 172) per additional live birth with IUI. LIMITATIONS, REASONS FOR CAUTION: We allowed participating hospitals to use their local protocols for ovulation induction and IUI, which may have led to variation in costs, but which increases generalizability. Indirect costs generated by transportation or productivity loss were not included. We did not evaluate letrozole, which is potentially more effective than CC. WIDER IMPLICATIONS OF THE FINDINGS: Gonadotrophins are more effective, but more expensive than CC, therefore, the use of gonadotrophins in women with normogonadotropic anovulation who have not conceived after six ovulatory CC cycles depends on society's willingness to pay for an additional child. In view of the uncertainty around the cost-effectiveness estimate of IUI, these data are not sufficient to make recommendations on the use of IUI in these women. In countries where ovulation induction regimens are reimbursed, policy makers and health care professionals may use our results in their guidelines. STUDY FUNDING/COMPETING INTEREST(S): This trial was funded by the Netherlands Organization for Health Research and Development (ZonMw number: 80-82310-97-12067). The Eudract number for this trial is 2008-006171-73. The Sponsor's Protocol Code Number is P08-40. CBLA reports unrestricted grant support from Merck and Ferring. BWM is supported by a NHMRC Practitioner Fellowship (GNT1082548) and reports consultancy for Merck, ObsEva and Guerbet. TRIAL REGISTRATION NUMBER: NTR1449.

Basal Anti Mullerian hormone levels and endometrial thickness at midcycle can predict the outcome after clomiphene citrate stimulation in anovulatory women with PCOS, a retrospective study.

PURPOSE: Recent studies reported that in polycystic ovary syndrome (PCOS) patients, other stimulation agents are superior to the popular first-line regimen, clomiphene citrate (CC) for ovarian stimulation. Nonetheless, CC is still widely used since it is not clear which patients will not respond to it. Furthermore, the prognostic value of endometrium thickness at midcycle is controversial. We aimed to find factors predicting the response to CC and the prognostic value of endometrial thickness at midcycle. METHODS: We collected data retrospectively from 89 anovulatory PCOS patients who had the first stimulation with 50 mg CC. We analyzed the basal levels of AMH, testosterone, LH, LH:FSH ratio and the endometrial thickness at midcycle by univariate, followed by multivariate regression. The outcome measures were pregnancy, follicle maturation and endometrial thickness at midcycle. RESULTS: Stimulation with 50 mg CC resulted in follicle maturation in 50.6% of the women and in 27.0% pregnancies. In the univariate analysis, greater endometrial thickness, lower LH and AMH levels and a lower LH:FSH ratio were associated with pregnancy (p < 0.05). In the multivariate analysis, only endometrial thickness remained predictive (p = 0.045). The endometrial thickness cutoff level of ≥ 8 mm showed a sensitivity of 87.5% (96% CI 67.6-97.3) and a specificity of 66.7% (95% CI 43.0-85.4) for prediction of pregnancy. In the multivariate analysis AMH levels 5.4 (3.4; 7.0) (ng/mL) predicted pregnancy (ß = - 0.194 ± 0.092; p = 0.034) CONCLUSION: We suggest to refrain from CC as first-line regimen in patients with AMH > 7 ng/ml. Under CC treatment, the cutoff value of ≥ 8 mm endometrium thickness at midcycle is associated with a better outcome.

Dietary minerals, reproductive hormone levels and sporadic anovulation: associations in healthy women with regular menstrual cycles.

Although minerals are linked to several reproductive outcomes, it is unknown whether dietary minerals are associated with ovulatory function. We hypothesised that low intakes of minerals would be associated with an increased risk of anovulation. We investigated associations between dietary mineral intake and both reproductive hormones and anovulation in healthy women in the BioCycle Study, which prospectively followed up 259 regularly menstruating women aged 18-44 years who were not taking mineral supplements for two menstrual cycles. Intakes of ten selected minerals were assessed through 24-h dietary recalls at up to four times per cycle in each participant. Oestradiol, progesterone, luteinising hormone (LH), follicle-stimulating hormone (FSH), sex-hormone-binding globulin and testosterone were measured in serum up to eight times per cycle. We used weighted linear mixed models to evaluate associations between minerals and hormones and generalised linear models for risk of anovulation. Compared with Na intake ≥1500 mg, Na intake <1500 mg was associated with higher levels of FSH (21·3 %; 95 % CI 7·5, 36·9) and LH (36·8 %; 95 % CI 16·5, 60·5) and lower levels of progesterone (-36·9 %; 95 % CI -56·5, -8·5). Na intake <1500 mg (risk ratio (RR) 2·70; 95 % CI 1·00, 7·31) and Mn intake <1·8 mg (RR 2·00; 95 % CI 1·02, 3·94) were associated with an increased risk of anovulation, compared with higher intakes, respectively. Other measured dietary minerals were not associated with ovulatory function. As essential minerals are mostly obtained via diet, our results comparing insufficient levels with sufficient levels highlight the need for future research on dietary nutrients and their associations with ovulatory cycles.

The association between circulating irisin levels and different phenotypes of polycystic ovary syndrome.

PURPOSE: The diagnosis of polycystic ovary syndrome (PCOS) is based on a combination of various clinical phenotypes in each patient. However, insulin resistance (IR) and dysmetabolism are not included in the diagnostic criteria of PCOS. Therefore, the definition of PCOS is controversial. The objective of this study is to investigate whether some PCOS phenotypes can be predicted by a circulating biomarker related to IR and metabolic dysfunction in PCOS women. METHODS: One hundred and seventeen women with PCOS and 95 healthy women were recruited for this study. All individuals were assessed by the phenotypic and metabolic characteristics related to PCOS. A euglycemic-hyperinsulinemic clamp was performed to assess insulin sensitivity. Circulating irisin concentrations were determined with ELISA. RESULTS: In our PCOS cohort, 65.8% of individuals were found to have hyperandrogenism. 83.8% had chronic oligoanovulation, and 80.3% of subjects showed polycystic ovaries. According to the diagnostic criteria of PCOS, 30.8% of PCOS subjects were diagnosed with the classic phenotype. In addition, 65.8% of PCOS women had insulin resistance. Serum irisin levels were significantly higher in PCOS women compared with healthy women. However, PCOS women with a normoandrogenic phenotype had similar circulating irisin levels as healthy women. PCOS women with the normoandrogenic phenotype had a low homeostasis model assessment of insulin resistance (HOMA-IR) and higher M-values than PCOS women with other phenotypes. Circulating irisin levels were associated with hyperandrogenism, but not with oligoanovulation or PCO morphology. CONCLUSIONS: Circulating irisin may allow physicians to establish which women merit screening by a biomarker for PCOS.

Low dose HP-hMG in an antagonist protocol for IVF in ovulatory and anovulatory patients with high AMH.

Women with high-AMH levels have an increased risk of ovarian hyperstimulation syndrome (OHSS). Studies have suggested that highly purified menotropin (HP-hMG) Menopur® reduces the risk. We, therefore, studied use of low-dose (112.5 IU/day) HP-hMG in ovulatory and anovulatory patients with high AMH (>32 pmol/L). The primary endpoint was the distribution of patients with appropriate, excessive, and inadequate response (5-14, ≥15, and ≤4 oocytes). Another endpoint was frequency of OHSS. Totally 115 women were included and 78 (67.8%) had an appropriate, 8 (7.0%) an excessive, and 29 (25.2%) an inadequate response. The number of oocytes was independent on AMH levels and ovulatory status but declined significantly with increasing bodyweight (R2 = 0.07, p < .01). The ongoing pregnancy rate per started cycle was 47.0%. Three (2.6%) developed OHSS, two had cancelation of the cycle and seven patients had GnRH agonist triggering to prevent OHSS. Selective use of a low dose of HP-hMG in patients with high levels of AMH provides 5-14 oocytes in more than two-thirds of the patients and is safe with low risk of OHSS. The number of aspirated oocytes was independent of AMH levels and ovulatory status, but inversely related to body weight.

Elevated anti-Mullerian hormone in lean women may not indicate polycystic ovarian syndrome.

BACKGROUND: Polycystic ovarian syndrome (PCOS) is a heterogeneous disorder with clinical features shared with functional hypogonadotrophic hypogonadism (FHH). AIM: To investigate the usefulness of an elevated (>40 pmol/L) anti-Mullerian hormone (AMH) in identifying PCOS and distinguishing PCOS from FHH. MATERIALS AND METHODS: 141 patients with an elevated AMH and body mass index either <20 kg/m2 (lean) or >30 kg/m2 (obese) were selected and three subgroups analysed - obese, lean, lean with suspected FHH. FHH was diagnosed clinically, incorporating diet, weight and exercise history; confirmatory tests included pituitary MRIs, progestin challenges and endometrial thickness measurements. PCOS features of oligo/anovulation, polycystic ovarian morphology (PCOm) and hyperandrogenism were determined by clinical history, pelvic ultrasound, free androgen index and physical examination, respectively. Features of PCOS and blood levels of AMH, follicle-stimulating hormone, luteinising hormone, sex hormone binding globulin (SHBG) and testosterone were compared between subgroups. RESULTS: Of 141 patients with elevated AMH, 76 were obese and 65 lean. Greater than one-third of lean women had the clinical picture of FHH. Elevated AMH predicted PCOm and menstrual irregularity across all subgroups but uniquely associated with hyperandrogenism in the obese. Median AMH levels were similar among FHH and non-FHH women. Median SHBG levels were significantly higher (111 ± 73 vs 56 ± 31, P < 0.001) in lean women with FHH compared to those without FHH. CONCLUSIONS: PCOS and FHH share common features of elevated AMH levels, oligo-anovulation and polycystic ovarian morphology. AMH did not assist in differentiating FHH from PCOS. A higher SHBG level shows promise as a discriminatory finding in FHH.

Serum Antioxidants Are Associated with Serum Reproductive Hormones and Ovulation among Healthy Women.

BACKGROUND: Evidence is growing that the equilibrium between reactive oxygen species and antioxidants plays a vital role in women's reproductive health. OBJECTIVE: The objective of this study was to evaluate variations in serum antioxidant concentrations across the menstrual cycle and associations between antioxidants and reproductive hormones and anovulation among healthy women. METHODS: The BioCycle Study, a prospective cohort, followed 259 women aged 18-44 y for up to 2 menstrual cycles. Serum fat-soluble vitamin and micronutrient (α-tocopherol, γ-tocopherol, retinol, lutein, lycopene, and ß-carotene), ascorbic acid, and reproductive hormone concentrations were measured 5-8 times/cycle. We used weighted linear mixed models to assess associations between antioxidants and hormone concentrations, after adjustment for age, race, body mass index, parity, sleep, pain medication use, total energy intake, concurrent hormones, serum cholesterol, F2-isoprostanes, and other antioxidants. Generalized linear models were used to identify associations with anovulation. RESULTS: Serum antioxidant concentrations varied across the menstrual cycle. Retinol and α-tocopherol were associated with higher estradiol [RR: 1.00 pg/mL (95% CI: 0.67, 1.34 pg/mL); RR: 0.02 pg/mL (95% CI: 0.003, 0.03 pg/mL), respectively] and testosterone [RR: 0.61 ng/dL (95% CI: 0.44, 0.78 ng/dL); RR: 0.01 ng/dL (95% CI: 0.001, 0.01 ng/dL), respectively]. Ascorbic acid was associated with higher progesterone (RR: 0.15 ng/mL; 95% CI: 0.05, 0.25 ng/mL) and with lower follicle-stimulating hormone (RR: -0.06 mIU/mL; 95% CI: -0.09, -0.03 mIU/mL). The ratio of α- to γ-tocopherol was associated with an increased risk of anovulation (RR: 1.03; 95% CI: 1.01, 1.06). CONCLUSIONS: These findings shed new light on the intricate associations between serum antioxidants and endogenous hormones in healthy premenopausal women and support the hypothesis that concentrations of serum vitamins affect steroidogenesis even after adjustment for oxidative stress.

Role of cortisol and superoxide dismutase in psychological stress induced anovulation.

Stress has been identified as a potential trigger for reproductive dysfunctions, but the psycho-physiological pathway behind the effect of stress on ovulation remains unexplored. The present research work highlights the plausible mechanism of psychological stress on ovulation in mice by targeting superoxide dismutase (SOD), an enzyme involved in ovulation. For this, three consecutive studies were carried out. The first study aimed to determine the effect of psychological stress induced change in cortisol level, behavioral parameters and normal estrous cyclicity. The effect on mRNA expression of SOD subtypes, follicular growth in histological sections of ovaries and the difference in oocyte quality and number, upon superovulation were assessed in the subsequent studies. The results indicate that psychological stress model causes an increase in cortisol level (p⩽0.05) with development of anhedonia, depression and anxiety. An irregular estrous cycle was observed in stressed mice with an upregulation in mRNA expression of SOD subtypes. Histological sections revealed an increase in atretic antral follicle with an impaired follicular development. Moreover, immature oocytes were obtained from superovulated stressed mice. The study concludes that psychological stress results in anovulation which may be due to increase in cortisol level and SOD activity in stressed mice.

Comparison of clinical and hormonal characteristics among four phenotypes of polycystic ovary syndrome based on the Rotterdam criteria.

PURPOSE: Polycystic Ovary Syndrome (PCOS) is the most common endocrine disturbances in women and is divided into different phenotypes. The aim of study is to compare the clinical and hormonal parameters among the four phenotypes of PCOS based on the Rotterdam criteria and with control group. METHODS: Women with PCOS (n = 263) confirmed based on the Rotterdam criteria and 263 women with no evidence of PCOS were recruited as controls using observational case-control study. Evaluation of clinical and hormonal parameters, and differences in anti-Mullerian hormone (AMH) were compared between four phenotypes of PCOS and controls. RESULTS: Women with phenotype A (olig-anovulation (O) + hyperandrogenism (H) + polycystic ovary morphology (P)) had significantly larger waist than phenotype D (O + P) and higher body mass index than phenotype C (H + P). The LH/FSH ratio was significantly higher in phenotype A than phenotype D and controls along with significantly higher serum total testosterone levels in phenotype A compared to the phenotype B (O + H), C, D, and controls. AMH was significantly higher with phenotype A, C, and D than in women phenotype B and controls. CONCLUSIONS: The highest AMH levels were found in phenotype A. Phenotype B similar to controls had significantly low AMH compared to other three PCOS phenotypes. Women in the phenotypes D and controls showed significantly lower levels of LH/FSH ratio, total testosterone, and free androgen index, and higher levels of FSH and SHBG compared with phenotype A (P < 0.001). In logistic regression analysis, AMH and LH were predictors for PCOS.

Perceived stress, reproductive hormones, and ovulatory function: a prospective cohort study.

BACKGROUND: Stress has been shown to suppress ovulation in experimental models, but its effect on human reproduction at the population level is unclear. METHODS: Healthy women (n = 259), aged 18-44 years from Western New York, were followed for 2 menstrual cycles (2005-2007). Women completed daily perceived stress assessments, a 4-item Perceived Stress Scale (PSS-4) up to 4 times each cycle, and a 14-item PSS at baseline. Mixed model analyses were used to assess effects of stress on log reproductive hormone concentrations and sporadic anovulation. RESULTS: High versus low daily stress was associated with lower estradiol (-9.5% [95% confidence interval (CI) = -15.6% to -3.0%]), free estradiol (-10.4% [-16.5% to -3.9%]), and luteinizing hormone (-14.8% [-21.3% to -7.7%]) and higher follicle-stimulating hormone (6.2% [95% CI = 2.0% to 10.5%]) after adjusting for age, race, percent body fat, depression score, and time-varying hormones and vigorous exercise. High versus low daily stress was also associated with lower luteal progesterone (-10.4% [95% CI = -19.7% to -0.10%]) and higher odds of anovulation (adjusted odds ratio = 2.2 [95% CI = 1.0 to 4.7]). For each unit increase in daily stress level, women had a 70% higher odds of an anovulatory episode (odds ratio = 1.7 [1.1 to 2.4]). Similar but attenuated results were found for the association between the PSS-4 and reproductive hormones, while null findings were found for the baseline PSS. CONCLUSION: Daily perceived stress does appear to interfere with menstrual cycle function among women with no known reproductive disorders, warranting further research to explore potential population-level impacts and causal biologic mechanisms.

Revised criteria for PCOS in WHO Group II anovulatory infertility - a revival of hypothalamic amenorrhoea?

OBJECTIVE: To evaluate revised criteria for polycystic ovarian morphology (PCOM) in the diagnosis of polycystic ovary syndrome (PCOS) in anovulatory infertility. DESIGN: Prospective cohort study. PATIENTS: WHO Group II anovulatory infertile women (n = 75). MEASUREMENTS: Clinical, sonographic and endocrine parameters, including anti-Müllerian hormone (AMH). RESULTS: The Rotterdam criteria for PCOM (antral follicle count (AFC) ≥12 and/or ovarian volume >10 ml) were fulfilled in 93% of the women. The PCOM prevalence was 68% when increasing the threshold to AFC >20 and 76% according to an AMH-based threshold of >35 pmol/l. The most recently proposed AFC ≥ 25 threshold reduced the PCOM prevalence to 52% (n = 39), leaving 48% (n = 36) without features of PCOM. Comparing the 36 women with non-PCOM with the 39 women in the PCOM group according to AFC ≥ 25, 22% vs 59% (P = 0·001) had serum LH >10 IU/l, 11% vs 41% (P = 0·003) had an LH/FSH ratio >2 and 19% vs 41% (P = 0·04) had hirsutism and/or elevated total testosterone, free testosterone, and/or androstenedione. The non-PCOM group included significantly more women with secondary infertility. The median AMH in the non-PCOM group was 47 pmol/l, which was twofold lower than in the PCOM group but above the upper limit of normo-ovulatory women. CONCLUSIONS: According to a revised threshold of 25 follicles, almost half the anovulatory infertile women do not have PCOM. The characteristics of these women may be compatible with hypothalamic anovulation, but according to AMH levels, the ovaries remain multifollicular. PERSPECTIVES: A better distinction between hypothalamic amenorrhoea and PCOS could improve treatment strategies for anovulatory infertility.

Prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation.

AIM: This study investigated the prevalence of disease-causing chronic anovulation and proposes a logical investigation flowchart to facilitate diagnosis in women presenting with chronic anovulation. MATERIAL AND METHODS: The cross-sectional retrospective study was performed using 293 reproductive-aged women who were diagnosed with chronic anovulation at the Gynecologic Endocrinology Unit, Faculty of Medicine, Chiang Mai University between January 2008 and December 2012. The demographic data, laboratory investigations and diagnoses were collected. RESULTS: Among 293 patients recruited into the study, the common causes of anovulation were polycystic ovary syndrome (PCOS) (73.4%), prolactin disorder (13.3%) and unexplained chronic anovulation (7.5%). The less common causes were thyroid disorders, congenital adrenal hyperplasia, adrenal tumors and Cushing's disease. There was a strong positive association between the levels of 17-hydroxyprogesterone and/or dehydroepiandrosterone sulfate with the levels of testosterone and androstenedione. The sensitivity and specificity of serum luteinizing hormone to accurately diagnose PCOS were 29.38% and 55.56% (P = 0.03). The luteinizing hormone/follicle-stimulating hormone ratio ≥ 3 had a sensitivity and specificity at 18.56% and 92.86% (P = 0.03) for PCOS diagnosis. CONCLUSION: Serum androstenedione, testosterone, thyroid-stimulating hormone, prolactin levels and pelvic ultrasonography should be included in the initial investigations for anovulation. The 17-hydroxyprogesterone and dehydroepiandrosterone sulfate levels can be used for secondary anovulation evaluations.

Visceral adiposity index (VAI) is related to the severity of anovulation and other clinical features in women with polycystic ovary syndrome.

OBJECTIVE: The clinical phenotype of polycystic ovary syndrome (PCOS) includes reproductive and hormonal aberrations. Visceral adiposity index (VAI) is an indicator which could connect hyperandrogenism and anovulation. The objective was to evaluate the relationship between VAI, menstrual disorders and hormonal, biochemical and ultrasound parameters in women with PCOS. PATIENTS: One hundred and ninety-three women with PCOS diagnosed with Rotterdam criteria. MEASUREMENTS: We correlated VAI with metabolic and clinical features of the syndrome and with indices of inflammation and insulin sensitivity. In addition, we classified the patients into four groups according to the severity of menstrual disorders: Group A (n = 42), with severe menstrual disorders, Group B (n = 83), with mild menstrual disorders, Group C (n = 58), without menstrual disorders and Group D (n = 10) with women with sychnominorroia. RESULTS: In women with PCOS studied, VAI significantly positively correlated with body weight, fasting glucose, insulin, homeostasis model assessment (HOMA) score, white blood cells, platelets, uric acid, free testosterone, oestradiol, total cholesterol, γ-GT, SGPT. Furthermore, a significant inverse correlation between VAI and SHBG, Matsuda index and menstrual cycles per year was documented. From the comparison of the four groups, PCOS women with menstrual disorders had significantly higher VAI and HOMA indices when compared to PCOS without menstrual disorders. CONCLUSIONS: Visceral adiposity index is increased in patients with PCOS in concordance with the severity of anovulation, insulin resistance and inflammation. This index could be a very easy and helpful clinical tool in daily practice to predict insulin resistance in women with PCOS.

Biological variability in serum anti-Müllerian hormone throughout the menstrual cycle in ovulatory and sporadic anovulatory cycles in eumenorrheic women.

STUDY QUESTION: Does serum anti-Müllerian hormone (AMH) vary significantly throughout both ovulatory and sporadic anovulatory menstrual cycles in healthy premenopausal women? SUMMARY ANSWER: Serum AMH levels vary statistically significantly across the menstrual cycle in both ovulatory and sporadic anovulatory cycles of healthy eumenorrheic women. WHAT IS KNOWN ALREADY: Studies to date evaluating serum AMH levels throughout the menstrual cycle have conflicting results regarding intra-woman cyclicity. No previous studies have evaluated an association between AMH and sporadic anovulation. STUDY DESIGN, SIZE, DURATION: We conducted a prospective cohort study of 259 regularly menstruating women recruited between 2005 and 2007. PARTICIPANTS/MATERIALS, SETTING, METHODS: Women aged 18-44 years were followed for one (n = 9) or two (n = 250) menstrual cycles. Anovulatory cycles were defined as any cycle with peak progesterone concentration ≤5 ng/ml and no serum LH peak on the mid or late luteal visits. Serum AMH was measured at up to eight-time points throughout each cycle. MAIN RESULTS AND THE ROLE OF CHANCE: Geometric mean AMH levels were observed to vary across the menstrual cycle (P < 0.01) with the highest levels observed during the mid-follicular phase at 2.06 ng/ml, decreasing around the time of ovulation to 1.79 ng/ml and increasing thereafter to 1.93 (mid-follicular versus ovulation, P < 0.01; ovulation versus late luteal, P = 0.01; mid-follicular versus late luteal, P = 0.05). Patterns were similar across all age groups and during ovulatory and anovulatory cycles, with higher levels of AMH observed among women with one or more anovulatory cycles (P = 0.03). LIMITATIONS, REASONS FOR CAUTION: Ovulatory status was not verified by direct visualization. AMH was analyzed using the original Generation II enzymatically amplified two-site immunoassay, which has been shown to be susceptible to assay interference. Thus, absolute levels should be interpreted with caution, however, patterns and associations remain consistent and any potential bias would be non-differential. WIDER IMPLICATIONS OF THE FINDINGS: This study demonstrates a significant variation in serum AMH levels across the menstrual cycle regardless of ovulatory status. This variability, although statistically significant, is not large enough to warrant a change in current clinical practice to time AMH measurements to cycle day/phase. STUDY FUNDING/COMPETING INTERESTS: This research was supported by the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD (Contracts # HHSN275200403394C, HHSN275201100002I Task 1 HHSN27500001). The authors have no conflicts of interest to declare.

The role of AMH in anovulation associated with PCOS: a hypothesis.

Polycystic ovary syndrome (PCOS) is the most common cause of infertility due to anovulation. Despite its prevalence, the precise cause of the anovulation is yet to be clearly defined. There is an increased number of pre-antral and antral follicles in the polycystic ovary, many of which individually produce increased amounts of anti-Müllerian hormone (AMH) compared with those in the normal ovary. In this article, it is hypothesized that the high AMH concentrations present in women with PCOS play an integral role in causing anovulation due to its inhibitory influence on the actions of follicle-stimulating hormone, which normally promotes follicular development from the small antral to the ovulatory stage.

Follicle-stimulating hormone receptor gene polymorphism in chronic anovulatory women, with or without polycystic ovary syndrome: a cross-sectional study.

BACKGROUND: Polymorphisms at codons 307 and 680 are the most commonly encountered allelic variants of the follicle-stimulating hormone receptor (FSHR) gene. Studies in Caucasians suggest that certain FSHR variants are more common in women with polycystic ovary syndrome (PCOS) than normal women. The objective of this study was to determine the distribution of FSHR gene polymorphisms at codons 307 and 680 in Thai women with chronic anovulation, without (121 women) and with PCOS (133 women), using 132 known fertile women as controls. METHODS: DNA samples from peripheral blood lymphocytes were extracted and analyzed by polymerase chain reaction-restriction fragment length polymorphism. RESULTS: The prevalence of Threonine307Threonine (TT), Threonine307Alanine (TA), and Alanine307Alanine (AA) genotypes at codon 307 was 53.0% (95% CI = 44.2-61.7%), 42.4% (95% CI = 34-51.3%), and 4.5% (95% CI = 1.9-10.1%) in controls; 52.6% (95% CI = 43.8-61.3%), 39.8% (95% CI = 31.6-48.7%), and 7.5% (95% CI = 3.9-13.7%) in PCOS women; and 50.4% (95% CI = 42.8-61.2%), 45.4% (95% CI = 34.9-53.1%), and 4.5% (95% CI = 1.5-9.6%) in anovulatory women without PCOS, respectively. The prevalence of Asparagine680Asparagine (NN), Asparagine680Serine (NS), and Serine680Serine (SS) genotypes at codon 680 was 54.5% (95% CI = 45.7-63.2%), 40.9% (95% CI = 32.5-49.8%), and 4.5% (95% CI = 1.9-10.1%) in controls; 51.9% (95% CI = 43.1-60.6%), 44.4% (95% CI = 35.8-53.2%), and 3.8% (95% CI = 1.4-9.0%) in PCOS women; and 47.9% (95% CI = 40.4-58.8%), 47.1% (95% CI = 36.5-54.7%), and 5.0% (95% CI = 2-10.9%) in anovulatory women without PCOS, respectively. The prevalence of FSHR gene polymorphisms at both codons were not statistically different among the three groups. CONCLUSIONS: In Thai women, there was no association between the FSHR gene polymorphism at codons 307 and 680 and chronic anovulation.

Examining the causal relationship between sex hormone-binding globulin (SHBG) and infertility: A Mendelian randomization study.

BACKGROUND: The causal relationship between sex hormone-binding globulin (SHBG) and infertility has remained unclear. Thus, we used Mendelian randomization (MR) to investigate this relationship. METHODS: Risk factors for SHBG were extracted from European individuals within the UK Biobank using single-nucleotide polymorphism (SNP) data. Summary-level data for infertility outcomes were obtained from the FinnGen dataset. The causal relationship between SHBG and infertility was examined using inverse variance weighted, weighted model, weighted median, and MR-Egger regression analyses. Additionally, Cochran's Q test and Egger intercept tests were used to confirm the heterogeneity and pleiotropy of identified instrumental variables (IVs). RESULTS: Our findings revealed a significant negative association between sex hormone-binding globulin (SHBG) levels and infertility, particularly with anovulation, a specific form of female infertility. However, SHBG did not exert a causal impact on male infertility or on female infertility of tubal origin. CONCLUSIONS: SHBG expression offers protection against the development of certain types of female infertility, suggesting it is a potential therapeutic target for infertility.

The influence of sporadic anovulation on hormone levels in ovulatory cycles.

STUDY QUESTION: Do ovulatory hormone profiles among healthy premenopausal women differ between women with and without sporadic anovulation? SUMMARY ANSWER: Women with one anovulatory cycle tended to have lower estradiol, progesterone and LH peak levels during their ovulatory cycle. WHAT IS KNOWN ALREADY: Anovulation occurs sporadically in healthy premenopausal women, but the influence of hormones in a preceding cycle and the impact on a subsequent cycle's hormone levels is unknown. STUDY DESIGN, SIZE, DURATION: The BioCycle Study was a prospective cohort including 250 healthy regularly menstruating women, 18-44 years of age, from Western New York with no history of menstrual or ovulation disorders. The women were followed with up to eight study visits per cycle for two cycles, most of which were consecutive. PARTICIPANTS/MATERIALS, SETTING AND METHODS: All study visits were timed to menstrual cycle phase using fertility monitors and located at the University at Buffalo women's health research center from 2005 to 2007. The main outcomes measured were estradiol, progesterone, LH and follicle-stimulating hormone levels in serum at up to 16 visits over two cycles. Anovulation was defined as peak serum progesterone concentrations ≤5 ng/ml and no serum LH peak detected during the mid- or late-luteal phase visit. MAIN RESULTS AND THE ROLE OF CHANCE: Reproductive hormone concentrations were lower during anovulatory cycles, but significant reductions were also observed in estradiol (-25%, P = 0.003) and progesterone (-22%, P = 0.001) during the ovulatory cycles of women with one anovulatory cycle compared with women with two ovulatory cycles. LH peak concentrations were decreased in the ovulatory cycle of women with an anovulatory cycle (significant amplitude effect, P = 0.004; geometric mean levels 38% lower, P < 0.05). LIMITATIONS, REASONS FOR CAUTION: Follow-up was limited to two menstrual cycles, and no ultrasound assessment of ovulation was available. Data were missing for a total of 168 of a possible 4072 cycle visits (4.1%), though all women had at least five visits per cycle (94% had seven or more per cycle). WIDER IMPLICATIONS OF THE FINDINGS: These results suggest a possible underlying cause of anovulation, such as a longer-term subclinical follicular, ovarian or hypothalamic/pituitary dysfunction, even among healthy, regularly menstruating women.