Assessing the clinical diagnostic value of anti-Müllerian hormone in polycystic ovarian syndrome and its correlation with clinical and metabolism indicators.

BACKGROUND: This study investigated the association between Anti-Müllerian Hormone (AMH) and relevant metabolic parameters and assessed its predictive value in the clinical diagnosis of polycystic ovarian syndrome (PCOS). METHODS: A total of 421 women aged 20-37 years were allocated to the PCOS (n = 168) and control (n = 253) groups, and their metabolic and hormonal parameters were compared. Spearman correlation analysis was conducted to investigate associations, binary logistic regression was used to determine PCOS risk factors, and receiver operating characteristic (ROC) curves were generated to evaluate the predictive value of AMH in diagnosing PCOS. RESULTS: The PCOS group demonstrated significantly higher blood lipid, luteinizing hormone (LH), and AMH levels than the control group. Glucose and lipid metabolism and hormonal disorders in the PCOS group were more significant than in the control group among individuals with and without obesity. LH, TSTO, and AMH were identified as independent risk factors for PCOS. AMH along with LH, and antral follicle count demonstrated a high predictive value for diagnosing PCOS. CONCLUSION: AMH exhibited robust diagnostic use for identifying PCOS and could be considered a marker for screening PCOS to improve PCOS diagnostic accuracy. Attention should be paid to the effect of glucose and lipid metabolism on the hormonal and related parameters of PCOS populations.

Exposure to heavy metallic and trace essential elements and risk of diminished ovarian reserve in reproductive age women: A case-control study.

The associations between metallic elements and ovarian reserve function have remained uncertain yet. In this case-control study, we involved 149 women with diminished ovarian reserve (DOR) and 151 women with normal ovarian reserve, and assessed the levels of six heavy metallic (Cr, Cd, As, Hg, Pb, and Mn) and seven trace essential (Se, Fe, Zn, Co, Mo, Cu, I) elements in their follicular fluid with inductively coupled plasma mass spectrometry. Associations were examined with logistic regressions and Bayesian kernel machine regression (BKMR). As a result, we found that the medium and the highest tertiles of Pb were significantly associated with an increased likelihood of DOR compared to the lowest tertile, while the medium or/an the highest tertiles of Cu, I, and Fe showed significantly lower likelihoods of DOR compared to the lowest tertiles. Cu and Pb showed significantly non-linear associations with ovarian reserve markers such as follicle-stimulating, anti-mullerian hormone levels, and antral follicle count. With the rising overall concentrations of heavy metals, the likelihood of DOR increased although not significant. There was a trend of a "U-shaped" association across the whole concentration range of trace essential elements and the likelihood of DOR. Our study revealed that avoiding heavy metallic elements and properly supplementing trace essential elements are conducive to ovarian function.

Optimal antimüllerian hormone levels in oocyte donors: a national database analysis.

OBJECTIVE: To study the relationship between high antimüllerian hormone (AMH) levels in oocyte donors and embryo development and pregnancy outcomes among donor oocyte recipients. DESIGN: Retrospective cohort study. SETTING: Donor Egg Bank Database. PATIENTS: Patients undergoing in vitro fertilization using vitrified donor oocytes from 35 in vitro fertilization centers in the United States between 2013 and 2021. For each recipient, the first oocyte lot that was received with a planned insemination and embryo transfer (ET) was included. INTERVENTION: Oocyte donor-recipient cycles. MAIN OUTCOME MEASURES: Ongoing pregnancy rate (OPR) per ET. RESULTS: A total of 3,871 donor oocyte-recipient thaw cycles were analyzed. On the basis of donor AMH serum concentration, cycles were stratified into the high AMH group (AMH ≥5 ng/mL; n = 1,821) and the referent group (AMH <5 ng/mL; n = 2,050). Generalized estimating equation models were used to account for donors that contributed more than one lot of oocytes. The number of usable embryos per lot (median [interquartile range]) was significantly increased in the high AMH group (2 [2-4]) compared with the referent group (2 [1-3]) (relative risk [RR] 1.06; confidence interval [CI] 1.01-1.12). Among recipients with a planned ET, there was no difference in OPR between the high AMH group (45.4%) and the referent group (43.5%) (RR 1.04; 95% CI 0.94-1.15). Among preimplantation genetic testing for aneuploidy cycles, the embryo euploidy rate per biopsy was similar at 66.7% (50%-100%) in both groups (RR 1.04; CI 0.92-1.17). The OPR per euploid ET among patients who used preimplantation genetic testing for aneuploidy was also comparable, at 52% in the high AMH group and 54.1% in the referent group (RR 0.95; CI 0.74-1.23). CONCLUSION: This large national database study observed that there was no association between a high level of AMH (≥5 ng/mL) in oocyte donors and an OPR in the recipient after the first ET. On the basis of these findings, recipients and physicians can be reassured that oocyte donors with a high AMH level can be expected to produce outcomes that are at least as good as donors with an AMH level (<5 ng/mL).

Association between serum 25-hydroxyvitamin D and antimüllerian hormone levels in a cohort of African-American women.

OBJECTIVE: To examine the association between serum 25-hydroxyvitamin D [25(OH)D] levels and ovarian reserve as measured using antimüllerian hormone (AMH) levels. DESIGN: Cross-sectional study. SETTING: Detroit, Michigan area. PATIENTS: Data were obtained from a prospective cohort of self-identified Black or African American women aged 23-35 years at the time of enrollment (N = 1,593), who had no prior diagnosis of polycystic ovary syndrome, were not currently pregnant, and were not missing AMH or 25(OH)D level measures. INTERVENTION: Serum 25(OH)D. MAIN OUTCOME MEASURE(S): The serum AMH level was the main outcome. Linear regression was used to examine the associations between categorical 25(OH)D levels (<12, 12-<20, 20-<30, and ≥30 ng/mL) and continuous natural log-transformed AMH levels. Associations between 25(OH)D and high (upper 10th percentile: >7.8 ng/mL) or low AMH (<0.7 ng/mL) levels were estimated with logistic regression. Models were adjusted for age, age-squared, body mass index (kg/m2), hormonal contraceptive use, smoking, and exercise. RESULTS: The 25(OH)D levels were low; 70% of participants were below 20 ng/mL. In fully adjusted models, compared with 25(OH)D levels <12 ng/mL, those with 25(OH)D levels of 12-<20, 20-<30, and ≥30 ng/mL had an AMH level that was 7% (95% confidence interval [CI]: -4, 20), 7% {95% CI: -6, 22}, or 11% {95% CI: -7, 34} higher, respectively. Moreover, these groups had lower odds of having low AMH levels (odds ratio [95% CI]: 0.63 {0.40, 0.99}, 0.60 {0.34, 1.07}, and 0.76 {0.35, 1.65}, respectively), and the highest category of 25(OH)D levels had higher odds of having high AMH levels (odds ratio [95% CI]: 1.42 {0.74, 2.72}). Exclusion of participants with either irregular cycles or very high AMH (>25 ng/mL) levels did not alter the associations. CONCLUSION: Taken together, these results indicate that higher levels of 25(OH)D are associated with slightly higher AMH levels, lower odds of low AMH levels, and higher odds of high AMH levels. This evidence is weak, however, because only a small percentage of participants had high 25(OH)D levels. Future studies should examine populations with a wide distribution of 25(OH)D levels (both high and low), with a clinical trial design, or with longitudinal measures of both 25(OH)D and AMH levels.

Can AMH levels predict the need to step up FSH dose for controlled ovarian stimulation following a long GnRH agonist protocol in PCOS women?

BACKGROUND: To explore the role of anti-Mullerian hormone (AMH) in predicting the need to step up recombinant FSH (rFSH) dose following long GnRH agonist protocol in IVF/ICSI cycles of polycystic ovarian syndrome (PCOS) women. METHODS: This is a retrospective cohort study of 825 PCOS women undergoing long GnRH agonist protocol enrolled from Jan 2019 to Dec 2021. The daily rFSH dose at which the first response to rFSH were recorded. The dose at which the first response to rFSH was based on folliculometry during follow up in which two or more follicles reached ≥ 11 mm. A receiver operating characteristic (ROC) curve analysis was done to investigate the ability of AMH to predict the need to step up initial rFSH dose. RESULTS: PCOS women who needed to step up initial rFSH dose had a significantly higher AMH compared with those didn't step up initial rFSH dose (11.37 ± 3.25ng/ml vs. 8.69 ± 3.16ng/ml, p < 0.001). In multivariate logistic regression analysis, increased AMH level was an independent factor for the need to step up initial rFSH dose in PCOS patients after adjusted for confounding factors. ROC curve analysis showed AMH could predict the need to step up initial rFSH dose (AUC = 0.738, 95%CI: 0.704-0.773), having 75.4% specificity and 63% sensitivity when the threshold AMH concentration was 9.30ng/ml. 58.8% PCOS women with AMH > 9.30 ng/ml required increased rFSH dose compared to 18.8% of women with AMH ≤ 9.30ng/ml (p < 0.001). Although the clinical pregnancy rate and live birth rate were not significantly different, there was a higher incidence of OHSS among women with AMH > 9.30 ng/ml vs. AMH ≤ 9.30ng/ml (20.8% vs. 15.3%, p = 0.043). CONCLUSION: PCOS women with AMH > 9.30 ng/ml were resistant to rFSH stimulation and require increased dose for the cycle recruitment of ovarian follicles.

The Association of Anti-Mullerian Hormone and Infertility Hormonal Imbalance with Polycystic Ovarian Syndrome Among Iraqi Patients.

<b>Background and Objective:</b> The pathogenesis of PCOS, which affects 5-15% of women of reproductive age, is still poorly understood and which characteristic might be considered essential for its diagnosis is still unknown. This study aimed to determine the significance and relationship between Anti-Mullerian Hormone (AMH) and other infertility hormones in the Polycystic Ovarian Syndrome (PCOS) diagnosis. <b>Materials and Methods:</b> This study involves 200 women who visited Al-Ramadi Maternity and Child Teaching Hospital in Al-Ramadi, Iraq from October, 2022 to May, 2023. Study participants included 50 women as controls and 150 women with PCOS who were diagnosed using the Rotterdam criteria. The clinical history included oligomenorrhea and BMI. Laboratory investigations included blood tests for FSH, LH, prolactin and AMH levels done for all women who participated in this study. <b>Results:</b> Age and BMI were comparable for PCOS cases and controls. The AMH levels in women with PCOS increased statistically with severity compared to controls, with the mean AMH level found to be 3.53 ng mL¹ in controls, whereas it ranged from 6.19 for mild cases to 7.49 for moderate cases to 12.83 for severe cases in PCOS cases. The AMH alone had the highest diagnostic sensitivity (78.6%) and specificity (97.6%) for PCOS at a cut-off of 5.82 ng mL¹. All study participants had a positive correlation between AMH and LH (R² = 0.391, p = 0.0031). <b>Conclusion:</b> The AMH levels were noticeably higher in PCOS patients compared to controls. The AMH could not accurately diagnose PCOS when used as an independent marker. The AMH levels did, however, have good diagnostic potential in combination with current Rotterdam criteria for PCOS diagnosis.

Associations of reproductive and breastfeeding history with anti-Müllerian hormone concentration among African-American women of reproductive age.

RESEARCH QUESTION: Are gravidity, parity and breastfeeding history associated with anti-Müllerian hormone concentration among African-American women of reproductive age? DESIGN: This study included baseline data from the Study of the Environment, Lifestyle and Fibroids, a 5-year longitudinal study of African-American women. Within this community cohort, data from 1392 women aged 25-35 years were analysed. The primary outcome was serum anti-Müllerian hormone concentration measured using the Ansh Labs picoAMH assay, an enzyme-linked immunosorbent assay. Multivariable linear regression models were used to estimate mean differences in anti-Müllerian hormone concentration (ß) and 95% CI by self-reported gravidity, parity and breastfeeding history, with adjustment for potential confounders. RESULTS: Of the 1392 participants, 1063 had a history of gravidity (76.4%). Of these, 891 (83.8%) were parous and 564 had breastfed. Multivariable-adjusted regression analyses found no appreciable difference in anti-Müllerian hormone concentration between nulligravid participants and those with a history of gravidity (ß = -0.025, 95% CI -0.145 to 0.094). Among participants with a history of gravidity, there was little difference in anti-Müllerian hormone concentration between parous and nulliparous participants (ß = 0.085, 95% CI -0.062 to 0.232). There was also little association between anti-Müllerian hormone concentration and breastfeeding history (ever versus never: ß = 0.009, 95% CI -0.093 to 0.111) or duration of breastfeeding (per 1-month increase: ß = -0.002, 95% CI -0.010 to 0.006). CONCLUSIONS: Gravidity, parity and breastfeeding history were not meaningfully associated with anti-Müllerian hormone concentration in this large sample of the Study of the Environment, Lifestyle and Fibroids cohort.

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.

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.

Serum LH levels are associated to serum insulin and Anti-Müllerian hormone levels in women with both functional hypothalamic amenorrhoea and polycystic ovarian morphology.

OBJECTIVE: The aim of the study was to investigate whether serum Luteinizing Hormone (LH) levels in women with Functional Hypothalamic Amenorrhoea (FHA) and Polycystic Ovarian Morphology (PCOM) are still associated to Body Mass Index (BMI) and/or serum insulin and/or Anti-Müllerian Hormone (AMH) levels using a larger population of FHA. DESIGN: Retrospective observational study (2006-2020). PARTICIPANTS: Data from 62 FHA patients were used for this study using strict criteria to define them. MEASUREMENTS: Serum LH, FSH, 17-hydroxyprogesterone (17-OHP), dehydroepiandrosterone sulphate (DHEA-S), androstenedione, total testosterone, prolactin, Sex Hormone Binding Globulin (SHBG) and AMH levels were measured by immunoassay. To homogenize the AMH values, we converted those obtained after 2015. We defined PCOM with strict criteria: a follicle number per ovary (FNPO) ≥12 or ≥20 per ovary, depending on the date on which the assessment was carried out and the ultrasound device. RESULTS: Forty-two percentage of our FHA population had PCOM. The PCOM+ group had significantly higher ranks of BMI (p = .024) and serum AMH levels (p = .0001) and significantly lower ranks of serum FSH levels (p = .002). LH was positively correlated with fasting insulin (p = .011) and with AMH (p = .035) in the PCOM+ group only but not with BMI. There was a positive correlation between LH and FSH in both groups. CONCLUSION: Our study suggests that GnRH insufficiency in women with PCOM unravels some mechanisms of LH regulation that are poorly documented in the literature and may involve a direct pituitary effect, as suggested by our results with serum insulin and AMH levels.

Contraceptive-specific antimüllerian hormone values in reproductive-age women: a population study of 42,684 women.

OBJECTIVE: To determine how the contraceptive-specific serum antimüllerian hormone (AMH) levels compare across ages and percentiles in a reproductive-age cohort. DESIGN: Cross-sectional analysis of a prospectively recruited cohort. SETTING: Community. PATIENT(S): This study included US-based women of reproductive age who purchased a fertility hormone test and consented to participate in research between May 2018 and November 2021. At the time of hormone testing, participants were users of various contraceptives (combined oral contraceptive [n = 6,850], progestin-only pill [n = 465], hormonal [n = 4,867] or copper [n = 1,268] intrauterine device, implant [n = 834], vaginal ring [n = 886]) or women with regular menstrual cycles (n = 27,514). INTERVENTION(S): Contraceptive use. MAIN OUTCOME MEASURE(S): Age and contraceptive-specific estimates of AMH. RESULT(S): There were contraceptive-specific effects on AMH with effect estimates ranging from 0.83 (95% confidence interval [CI], 0.82-0.85) (17% lower) for the combined oral contraceptive pill to no effect (1.00; 95% CI, 0.98-1.03) for the hormonal intrauterine device. We did not observe age-specific differences in suppression. However, there were differential suppressive effects of the contraceptive method across AMH percentiles, with the greatest effect at lower percentiles and least effect at higher percentiles. For example, for women taking the combined oral contraceptive pill, the AMH level was 32% lower at the 10th percentile (coefficient, 0.68; 95% CI, 0.65-0.71), 19% lower at the 50th percentile (coefficient, 0.81; 95% CI, 0.79-0.84), and 5% lower at the 90th percentile (coefficient, 0.95; 95% CI, 0.92-0.98), with other forms of contraception showing similar discordances. CONCLUSION(S): These findings reinforce the body of literature that shows that hormonal contraceptives have different impacts on the AMH levels at a population level. These results add to this literature that these effects are not consistent; instead, the greatest impact occurs at the lower AMH percentiles. However, these contraceptive-dependent differences are small compared with the known biological variability in ovarian reserve at any given age. These reference values enable robust assessment of an individual's ovarian reserve relative to their peers without requiring cessation or potentially invasive removal of contraception.

Pregnancy outcomes after oral and injectable ovulation induction in women with infertility with a low antimüllerian hormone level compared with those with a normal antimüllerian hormone level.

OBJECTIVE: To determine the ongoing pregnancy rate among patients with infertility with a low antimüllerian (AMH) level compared with those with a normal AMH level after oral and injectable ovulation induction (OI)/intrauterine insemination (IUI). DESIGN: Retrospective cohort. SETTING: Academic center. PATIENT(S): Patients completing ≥1 medicated OI/IUI cycle at our center between 2015 and 2019 were included. The AMH levels were measured within 12 months of treatment initiation. The cohort was stratified into low AMH (AMH level, <1.0 ng/mL) and normal AMH (AMH level, ≥1.0 ng/mL) groups. All subsequent medicated OI/IUI cycles occurring within 1 year of initial cycle start date were included up to the third completed cycle or until an ongoing pregnancy was recorded. Patients were stratified by age (<35, 35-40, and >40 years), and the relationship between the low and normal AMH groups and each binary endpoint were quantified as risk ratios using the age-adjusted Poisson models. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Ongoing pregnancy. RESULT(S): A total of 3,122 patients completed 5,539 oral antiestrogen cycles, and 1,060 completed 1,630 injectable gonadotropin cycles. For oral antiestrogen treatment, pregnancy outcomes, including ongoing pregnancy rate per cycle, for patients with a low AMH level were comparable with those for patients with a normal AMH level (<35 years, 15.4% vs. 14.9%; 35-40 years, 10.0% vs. 11.0%; and >40 years, 2.8% vs. 3.3%). For injectable gonadotropin treatment, the ongoing pregnancy rate was lower in the low AMH group than in the normal AMH group for the ages of <35 (12.1% vs. 23.5%; relative risk [RR], 0.52 [95% confidence interval {CI}, 0.28-0.97]) and 35-40 (12.5% vs. 18.5%; RR, 0.70 [95% CI, 0.49-0.99]) years but comparable with that for patients aged >40 years (3.0% vs. 4.0%; RR, 0.86 [95% CI, 0.31-2.35]). The proportion of multifetal gestations was similar between the low and normal AMH groups treated with oral antiestrogens (13.1% vs. 10.8%); however, for injectable gonadotropin treatment, patients with a normal AMH level had a higher proportion of multifetal gestations (18.6% vs. 31.1%). CONCLUSION(S): Compared with normal ovarian reserve, treatment with oral antiestrogens for OI/IUI for patients with low ovarian reserve results in comparable follicular development and ongoing pregnancy rates for all age groups. When patients with low ovarian reserve are treated with gonadotropins for OI/IUI, multifollicular recruitment is less likely resulting in a significantly decreased ongoing pregnancy rate for patients aged <35 and 35-40 years but also a decrease in multifetal gestations. Overall, the ongoing pregnancy rates of 8.7% per oral antiestrogen cycle and 8.1% per injectable gonadotropin cycle in patients with low ovarian reserve are comparable with the expected rates in the general infertility population.

Anti-Müllerian hormone concentrations in female rabbits and its relation to spay status, pseudopregnancy and ovarian follicle numbers.

Anti-Müllerian hormone (AMH), known for its role during foetal sexual differentiation, is secreted by the Sertoli cells in males and the granulosa cells in females during post-natal life. As serum AMH concentrations correlate with follicle numbers, AMH is utilized as a marker of ovarian reserve in many species. In dogs and cats, AMH is used as a diagnostic tool to determine spay or neuter status. In the available literature, no research regarding serum AMH levels in rabbits has been published yet. The objectives of the present study were to (1) measure serum AMH concentrations in female rabbits and investigate the value of AMH as a diagnostic tool to differentiate between spayed and intact does and (2) relate measured AMH levels to pseudopregnancy and ovarian follicle numbers. For AMH measurement, serum samples were obtained from sexually intact (n = 64) and spayed (n = 22) female rabbits. Spayed does were of various breeds; intact rabbits were Zika hybrid rabbits. In the intact does, AMH measurement was complemented by determination of progesterone levels, gynaecological examination and histopathological evaluation of the uterus and ovaries, including follicle counts. Serum AMH and progesterone concentrations were measured using a human-based chemiluminescence immunoassay (CLIA) and an enzyme-linked fluorescence assay (ELFA), respectively. Depending on progesterone levels, sexually intact does were classified into follicular (n = 52) or luteal phase (n = 12). Median serum AMH levels were 1.53 ng/ml (range 0.77-3.36 ng/ml) in intact and 0.06 ng/ml (range ≤0.01-0.23 ng/ml) in spayed does. AMH concentrations between the intact and spayed rabbits differed significantly and did not overlap (p < .001). Receiver operating characteristic (ROC) curve analysis yielded a sensitivity and specificity of 100% for a cut-off level of 0.50 ng/ml. Follicular or luteal phase had no significant influence on measured AMH levels (t = 0.061, df = 62, p = .951). While the number of secondary follicles correlated significantly with AMH concentrations (rs  = 0.410, p = .001), the number of primary or antral follicles did not (rs  = 0.241, p = .055 and rs  = 0.137, p = .281, respectively). In conclusion, a single determination of serum AMH concentrations was adequate to distinguish spayed from intact female rabbits. Among sexually intact individuals, whether does were in follicular or luteal phase had no significant influence on measured serum AMH concentrations. The relationship between small growing follicles and AMH levels as described in other species could be partially confirmed, as secondary follicles correlated significantly with AMH.

Does Anti-Müllerian hormone vary during a menstrual cycle? A systematic review and meta-analysis.

OBJECTIVE: Numerous studies have indicated that the level of the Anti-Müllerian hormone (AMH), one of the main markers for the ovarian reserve, does not fluctuate throughout a menstrual cycle, while some studies have rejected this finding. The purpose of this systematic and meta-analysis study is to consensus on all contradictory studies that have measured AMH levels throughout the menstrual cycle and to investigate the exact extent of AMH variation in a cycle. METHODS: The protocol for this meta-analysis was registered at PROSPERO before data extraction. Relevant studies were identified by systematic search in PubMed, ScienceDirect, Embase, Cochrane Library, and Google Scholar with no limitation on publication date. Longitudinal studies which have evaluated AMH levels in the follicular and luteal phases of an unstimulated (natural) menstrual cycle in healthy women without endocrinology or ovarian disorders were included. We used the JBI Critical Appraisal Checklist for assessing the quality of studies found eligible for meta-analysis. RESULTS: A total of 11 studies involving 733 women with regular menstrual cycles were included. The results showed that the AMH level in the follicular phase was significantly higher than in the luteal phase (95% Cl = 0.11 [0.01 to 0.21]; p < 0.05) and it varies about 11.5% from the luteal phase. The analysis of studies which had also examined the ovulatory phase (n = 380) showed that the serum levels of AMH in the ovulatory phase (about 2.02 ng/ml) did not significantly vary compared to follicular (95% Cl = 0.11 [-0.10 to 0.33]; p = 0.30) and luteal (95% Cl = 0.06 [-0.08 to 0.20]; p = 0.43) phases. CONCLUSIONS: According to the results of this study, AMH levels differ between follicular and luteal phases which might be due to ovarian response to the gonadotropins. It seems the phase of AMH measurement needs to be considered for interpretation of the serum AMH test.

Expression of Serum PSA, Nesfatin-1, and AMH in Patients with Polycystic Ovary Syndrome.

Insulin resistance and hyperandrogenism are the leading causes of polycystic ovary syndrome (PCOS). Therefore, it has great significance to study the expression levels of PSA, nesfatin-1, and AMH. To provide some reference for clinical diagnosis and treatment of polycystic ovary syndrome (PCOS), the expression levels of PSA, nesfatin-1, and AMH in serum of patients with polycystic ovary syndrome (PCOS) were investigated. The experimental group consisted of 200 patients with polycystic ovary syndrome treated in Shanghai Huashan Hospital from July 2018 to July 2019. The control group consisted of 150 healthy women without pregnancy. The PSA, nesfatin-1, and AMH levels in serum were detected by chemiluminescence immunoassay (CLIA) and enzyme-linked immunosorbent assay (ELISA). The serum levels of prostate-specific antigen (PSA) and anti-Mullerian hormone (AMH) were 16.53 ± 0.67pg/ml and 10.75 ± 4.02pg/ml in the experimental group (PCOS patients), which were significantly higher than those in the control group (3.27 ± 0.43pg/ml and 5.18 ± 1.84pg/ml, respectively), while the inhibitive factors in the experimental group (1.89 ± 0.99mg/ml) were significantly higher than those in the control group (1.10 ± 0.97mg/ml). There was no significant difference in nesfatin-1. The levels of PSA and nesfatin-1, nesfatin-1, and AMH and the levels of PSA and AMH in patients with polycystic ovary syndrome were positively correlated, and the differences were statistically significant. The levels of PSA, nesfatin-1, and AMH in patients with polycystic ovary syndrome of different ages were different, and the differences were significant and negatively correlated with the age increasing. PSA, nesfatin-1, and AMH levels in patients with polycystic ovary syndrome were significantly different from those in control nonpregnant women. There was a certain correlation between the levels of PSA, nesfatin-1, and AMH, and age. The results have specific clinical reference significance for the diagnosis and treatment of patients with polycystic ovary syndrome.

Effect of cigarette smoking on serum anti-Mullerian hormone and antral follicle count in women seeking fertility treatment: a prospective cross-sectional study.

OBJECTIVES: The relationship between smoking and ovarian reserve markers is inconclusive. The primary objective of our study was to assess the effect of cigarette smoking on the quantitative ovarian reserve parameters, serum anti-Mullerian hormone (AMH) and antral follicle count (AFC) as relevant to prediction of fertility outcomes in women seeking fertility treatment. Our secondary aims were to validate self-reported smoking behaviour using biomarkers and evaluate the association between biomarkers of ovarian reserve (serum AMH and AFC) with biomarkers of smoking exposure (breath carbon monoxide (CO) and urine cotinine levels). DESIGN: Prospective, cross-sectional study. SETTING: Single tertiary care fertility centre. PARTICIPANTS: Women ≤35 years seeking fertility treatment. PRIMARY OUTCOME MEASURES: Serum AMH and AFC. RESULTS: Significant differences were found among current smokers, ex-smokers and never smokers for breath CO (F(2,97)=33.32, p<0.0001) and urine cotinine levels (p<0.001). However, no significant differences were found either for serum AMH (F(2,91)=1.19, p=0.309) or total AFC (F(2,81)=0.403, p=0.670) among the three groups. There was no significant correlation between pack years of smoking and serum AMH (r=-0.212, n=23, p=0.166) or total AFC (r=-0.276, n=19, p=0.126). No significant correlation was demonstrated between breath CO and serum AMH (r=0.082, n=94, p=0.216) or total AFC (r=0.096, n=83, p=0.195). Similarly, no significant correlation was demonstrated between urine cotinine levels and serum AMH (r=0.146, n=83, p=0.095) or total AFC (r=-0.027, n=77, p=0.386). CONCLUSION: We did not find a statistically significant difference in quantitative ovarian reserve markers between current smokers, ex-smokers and never smokers which would be clinically meaningful in our study population. We confirmed that self-reported smoking correlates well with quantitatively measured biomarkers of smoking. This validated the self-reported comparison groups to ensure a valid comparison of outcome measures. There was no significant association between biomarkers of smoking and biomarkers of ovarian reserve. We were also unable to demonstrate a correlation between the lifetime smoking exposure and ovarian reserve.

A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study.

Background: A clinical diagnosis of polycystic ovary syndrome (PCOS) can be tedious with many different required tests and examinations. Furthermore, women with PCOS have increased risks for several metabolic complications, which need long-term health management. Therefore, we attempted to establish an easily applicable model to identify such women at an early stage. Objective: To develop an easy-to-use tool for screening PCOS based on medical records from a large assisted reproductive technology (ART) center in China. Materials and Methods: A retrospective observational cohort from Peking University Third Hospital was used in the study. Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression with 10-fold cross-validation was applied to construct the model. The area under the receiver operating characteristic curve (AUC), sensitivity, and specificity values were used to evaluate and compare the models. Design Setting and Participants: This retrospective cohort study included 21,219 ovarian stimulation cycle records from January to December 2019 in Peking University Third Hospital. Main Outcomes and Measures: The main outcome was whether there was a clinical diagnosis of PCOS. The independent variables included were age, body mass index (BMI), upper limit of menstrual cycle length (UML), basal serum levels of anti-Müllerian hormone (AMH), testosterone androstenedione, antral follicle counts et al. Results: We have established a new mathematical model for diagnosing PCOS using serum AMH and androstenedione levels, UML, and BMI, with AUC values of 0.855 (0.838-0.870), 0.848 (0.791-0.891), 0.846 (0.812-0.875) in the training, validation, and testing sets, respectively. The contribution of each predictor to this model were: AMH 41.2%; UML 35.2%; BMI 4.3%; and androstenedione 3.7%. The top 10 groups of women most predicted to develop PCOS were demonstrated. An online tool (http://121.43.113.123:8888/) has been developed to assist Chinese ART clinics. Conclusions: The models and online tool we established here might be helpful for screening and identifying women with undiagnosed PCOS in Asian populations and could assist in the long-term management of related metabolic disorders.

Anti-Mullerian Hormone as Predictor of Future and Ongoing Bone Loss During the Menopause Transition.

The menopause transition in women is a period of significant bone loss, with rapid declines in bone mineral density (BMD) commencing a year before the final menstrual period (FMP). Changes in menstrual bleeding patterns cannot reliably tell us if this rapid bone loss has begun or is imminent. We hypothesized that low circulating levels of anti-Mullerian hormone (AMH), which decline as women approach the FMP, would be associated with future and ongoing rapid bone loss. We used data from The Study of Women's Health Across the Nation, a multisite, multi-ethnic, prospective cohort study of the menopause transition to test this hypothesis. Adjusted for age, body mass index, race/ethnicity, and study site, every 50% decrement in AMH level in premenopause and early perimenopause was associated with 0.14% per year faster decline over the following 3 to 4 years in lumbar spine BMD and 0.11% per year faster decline in femoral neck BMD (p < 0.001 for both). AMH in late perimenopause was not associated with the rate of future BMD decline. AMH was also associated with the magnitude of ongoing bone loss, measured as percent of peak BMD lost by the end of the next 2 to 3 years. Every 50% decrement in AMH level was associated with 0.22% additional loss in spine BMD in premenopause, 0.43% additional loss in early perimenopause, and 0.50% additional loss in late perimenopause (p < 0.001 for all three). If a woman will lose more of her peak BMD than the site-specific least significant change (LSC) at either the lumbar spine or femoral neck by the next 2 to 3 years, then AMH below 100 pg/mL will detect it with sensitivity of 50% in premenopause, 80% in early perimenopause, and 98% in late perimenopause. These findings suggest that AMH measurement can help flag women at the brink of significant bone loss for early intervention. © 2022 American Society for Bone and Mineral Research (ASBMR).

Effect of the presence of polycystic ovary syndrome-related features on anti-Mullerian hormone and androstenedione levels in adolescents with or without menstrual irregularity.

PURPOSE: To determine the variation in anti-Mullerian hormone (AMH) and androstenedione (A4) concentrations in adolescent girls, with or without menstrual cycle disorder in relation to phenotypic features of. PCOS. METHODS: Adolescent girls (n = 129), age range 14-19 years, were recruited in the cohort study. All participants were in the 4th or 5th year after menarche. Sixty-eight had menstrual irregularities, usually oligomenorrhea (OM), and 61 had regular menstruation (RM). AMH and A4 concentrations were measured. Hirsutism was recorded. Polycystic ovarian morphology (PCOM) was evaluated by transabdominal pelvic ultrasonography. Polycystic ovary syndrome (PCOS) features were defined according to Rotterdam consensus criteria. RESULTS: AMH and A4 were significantly higher in adolescent girls with OM than in girls with RM (p < 0.05). A4 and body mass index (BMI) of adolescents with OM was significantly higher in those with hirsutism than those without hirsutism (p = 0.01 and 0.008, respectively). There was a positive correlation between A4 and BMI (r: 0.327, p < 0.01). Logistic regression showed that the frequency of OM in the presence of PCOM was 10.8 times (95% CI 2.04-12.09) compared to those without PCOM. The highest AMH concentrations were found in girls with OM, hirsutism, and PCOM (p < 0.05). CONCLUSIONS: AMH and A4 are elevated in adolescents with oligomenorrhoea. High A4 is more prominent in the presence of hirsutism and is associated with increased BMI. PCOM, increases the likelihood of oligomenorrhea by about 10 times. AMH increase as the combination of clinical features of PCOS increases in adolescents with menstrual irregularity.

Genome-wide association study meta-analysis identifies three novel loci for circulating anti-Müllerian hormone levels in women.

STUDY QUESTION: Can additional genetic variants for circulating anti-Müllerian hormone (AMH) levels be identified through a genome-wide association study (GWAS) meta-analysis including a large sample of premenopausal women? SUMMARY ANSWER: We identified four loci associated with AMH levels at P < 5 × 10-8: the previously reported MCM8 locus and three novel signals in or near AMH, TEX41 and CDCA7. WHAT IS KNOWN ALREADY: AMH is expressed by antral stage ovarian follicles in women, and variation in age-specific circulating AMH levels has been associated with disease outcomes. However, the physiological mechanisms underlying these AMH-disease associations are largely unknown. STUDY DESIGN, SIZE, DURATION: We performed a GWAS meta-analysis in which we combined summary statistics of a previous AMH GWAS with GWAS data from 3705 additional women from three different cohorts. PARTICIPANTS/MATERIALS, SETTING, METHODS: In total, we included data from 7049 premenopausal female participants of European ancestry. The median age of study participants ranged from 15.3 to 48 years across cohorts. Circulating AMH levels were measured in either serum or plasma samples using different ELISA assays. Study-specific analyses were adjusted for age at blood collection and population stratification, and summary statistics were meta-analysed using a standard error-weighted approach. Subsequently, we functionally annotated GWAS variants that reached genome-wide significance (P < 5 × 10-8). We also performed a gene-based GWAS, pathway analysis and linkage disequilibrium score regression and Mendelian randomization (MR) analyses. MAIN RESULTS AND THE ROLE OF CHANCE: We identified four loci associated with AMH levels at P < 5 × 10-8: the previously reported MCM8 locus and three novel signals in or near AMH, TEX41 and CDCA7. The strongest signal was a missense variant in the AMH gene (rs10417628). Most prioritized genes at the other three identified loci were involved in cell cycle regulation. Genetic correlation analyses indicated a strong positive correlation among single nucleotide polymorphisms for AMH levels and for age at menopause (rg = 0.82, FDR = 0.003). Exploratory two-sample MR analyses did not support causal effects of AMH on breast cancer or polycystic ovary syndrome risk, but should be interpreted with caution as they may be underpowered and the validity of genetic instruments could not be extensively explored. LARGE SCALE DATA: The full AMH GWAS summary statistics will made available after publication through the GWAS catalog (https://www.ebi.ac.uk/gwas/). LIMITATIONS, REASONS FOR CAUTION: Whilst this study doubled the sample size of the most recent GWAS, the statistical power is still relatively low. As a result, we may still lack power to identify more genetic variants for AMH and to determine causal effects of AMH on, for example, breast cancer. Also, follow-up studies are needed to investigate whether the signal for the AMH gene is caused by reduced AMH detection by certain assays instead of actual lower circulating AMH levels. WIDER IMPLICATIONS OF THE FINDINGS: Genes mapped to the MCM8, TEX41 and CDCA7 loci are involved in the cell cycle and processes such as DNA replication and apoptosis. The mechanism underlying their associations with AMH may affect the size of the ovarian follicle pool. Altogether, our results provide more insight into the biology of AMH and, accordingly, the biological processes involved in ovarian ageing. STUDY FUNDING/COMPETING INTEREST(S): Nurses' Health Study and Nurses' Health Study II were supported by research grants from the National Institutes of Health (CA172726, CA186107, CA50385, CA87969, CA49449, CA67262, CA178949). The UK Medical Research Council and Wellcome (217065/Z/19/Z) and the University of Bristol provide core support for ALSPAC. This publication is the work of the listed authors, who will serve as guarantors for the contents of this article. A comprehensive list of grants funding is available on the ALSPAC website (http://www.bristol.ac.uk/alspac/external/documents/grant-acknowledgements.pdf). Funding for the collection of genotype and phenotype data used here was provided by the British Heart Foundation (SP/07/008/24066), Wellcome (WT092830M and WT08806) and UK Medical Research Council (G1001357). M.C.B., A.L.G.S. and D.A.L. work in a unit that is funded by the University of Bristol and UK Medical Research Council (MC_UU_00011/6). M.C.B.'s contribution to this work was funded by a UK Medical Research Council Skills Development Fellowship (MR/P014054/1) and D.A.L. is a National Institute of Health Research Senior Investigator (NF-0616-10102). A.L.G.S. was supported by the study of Dynamic longitudinal exposome trajectories in cardiovascular and metabolic non-communicable diseases (H2020-SC1-2019-Single-Stage-RTD, project ID 874739). The Doetinchem Cohort Study was financially supported by the Ministry of Health, Welfare and Sports of the Netherlands. The funder had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Ansh Labs performed the AMH measurements for the Doetinchem Cohort Study free of charge. Ansh Labs was not involved in the data analysis, interpretation or reporting, nor was it financially involved in any aspect of the study. R.M.G.V. was funded by the Honours Track of MSc Epidemiology, University Medical Center Utrecht with a grant from the Netherlands Organization for Scientific Research (NWO) (022.005.021). The Study of Women's Health Across the Nation (SWAN) has grant support from the National Institutes of Health (NIH), DHHS, through the National Institute on Aging (NIA), the National Institute of Nursing Research (NINR) and the NIH Office of Research on Women's Health (ORWH) (U01NR004061; U01AG012505, U01AG012535, U01AG012531, U01AG012539, U01AG012546, U01AG012553, U01AG012554, U01AG012495). The SWAN Genomic Analyses and SWAN Legacy have grant support from the NIA (U01AG017719). The Generations Study was funded by Breast Cancer Now and the Institute of Cancer Research (ICR). The ICR acknowledges NHS funding to the NIHR Biomedical Research Centre. The content of this manuscript is solely the responsibility of the authors and does not necessarily represent official views of the funders. The Sister Study was funded by the Intramural Research Program of the National Institutes of Health (NIH), National Institute of Environmental Health Sciences (Z01-ES044005 to D.P.S.); the AMH assays were supported by the Avon Foundation (02-2012-065 to H.B. Nichols and D.P.S.). The breast cancer genome-wide association analyses were supported by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the 'Ministère de l'Économie, de la Science et de l'Innovation du Québec' through Genome Québec and grant PSR-SIIRI-701, The National Institutes of Health (U19 CA148065, X01HG007492), Cancer Research UK (C1287/A10118, C1287/A16563, C1287/A10710) and The European Union (HEALTH-F2-2009-223175 and H2020 633784 and 634935). All studies and funders are listed in Michailidou et al. (Nature, 2017). F.J.M.B. has received fees and grant support from Merck Serono and Ferring BV. D.A.L. has received financial support from several national and international government and charitable funders as well as from Medtronic Ltd and Roche Diagnostics for research that is unrelated to this study. N.S. is scientific consultant for Ansh Laboratories. The other authors declare no competing interests.