Dataset Information

Does AMH Reflect Follicle Number Similarly in Women with and without PCOS?

ABSTRACT:

Context

Increased Anti-Mullerian Hormone in polycystic ovary syndrome, may be due to overactive follicles rather than reflect antral follicle count.

Objective

Does Anti-Mullerian Hormone reflect antral follicle count similarly in women with or without polycystic ovary syndrome or polycystic ovarian morphology?

Design

Cross-sectional, case-control.

Setting

Women who delivered preterm in 1999-2006. For each index woman, a woman with a term delivery was identified.

Patients

Participation rate was 69%. Between 2006-2008, 262 women were included, and diagnosed to have polycystic ovary syndrome, polycystic ovarian morphology or to be normal controls.

Intervention(s)

Blood tests, a clinical examination and vaginal ultrasound.

Main outcome measure(s)

Anti-Mullerian Hormone/antral follicle count-ratio, SHBG, androstenedione and insulin, to test potential influence on the Anti-Mullerian Hormone/antral follicle count -ratio.

Results

Mean Anti-Mullerian Hormone/antral follicle count ratio in women with polycystic ovary syndrome or polycystic ovarian morphology was similar to that of the controls (polycystic ovary syndrome: 1,2 p = 0,10 polycystic ovarian morphology: 1,2, p = 0,27 Controls 1,3). Anti-Mullerian Hormone showed a positive linear correlation to antral follicle count in all groups. Multivariate analysis did not change the results.

Conclusions

We confirmed the positive correlation between AMH and follicle count. Anti-Mullerian Hormone seems to be a reliable predictor of antral follicle count, independent of polycystic ovary syndrome diagnosis or ovarian morphology.

SUBMITTER: Christiansen SC

PROVIDER: S-EPMC4723054 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Does AMH Reflect Follicle Number Similarly in Women with and without PCOS?

Christiansen Sverre C SC Eilertsen Tina B TB Vanky Eszter E Carlsen Sven M SM

PloS one 20160122 1

<h4>Context</h4>Increased Anti-Mullerian Hormone in polycystic ovary syndrome, may be due to overactive follicles rather than reflect antral follicle count.<h4>Objective</h4>Does Anti-Mullerian Hormone reflect antral follicle count similarly in women with or without polycystic ovary syndrome or polycystic ovarian morphology?<h4>Design</h4>Cross-sectional, case-control.<h4>Setting</h4>Women who delivered preterm in 1999-2006. For each index woman, a woman with a term delivery was identified.<h4>P ...[more]

PMID: 26799212

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Project description:Abstract Polycystic ovary syndrome (PCOS), the most common endocrine disorder in women, is diagnosed based on three criteria, including a polycystic ovarian morphology (PCOM). Although the etiology of PCOS is not fully understood, a genetic component has been demonstrated. Women with PCOS have elevated serum Anti-Müllerian Hormone (AMH) levels, a hormone known to reflect the ovarian reserve. Furthermore, the AMH production per follicle is suggested to be higher in PCOS patients and this combined implies an aberrant regulation of ovarian AMH expression. Currently, some transcription factors, such as FOXL2 and SF1, have been demonstrated to play a role in the ovarian regulation of AMH promoter activity. However, still little is known about AMH gene regulation, particularly in women with PCOS. Hence, the aim of this study was to investigate the association of single nucleotide polymorphisms (SNPs) in the AMH promoter on serum AMH levels in a cohort of PCOS patients. A candidate gene association study was conducted. All two-allelic SNPs located in or nearby the AMH promoter (Chr19:2,245,353 – 2,250,827bp) with a minor allele frequency > 1% and an imputation quality r2 threshold above 0.75 were included. We included Caucasian PCOS women, diagnosed based on the Rotterdam criteria. AMH levels were measured with the picoAMH assay (Ansh Labs®, Houston, Texas, USA). The association between SNPs and serum AMH levels was assessed by linear regression with Wald test of significance, allele carrier model analysis with one-way analysis of covariance (ANCOVA). All statistical models were adjusted for age, BMI and total follicle count (TFC). AMH levels were natural log transformed to obtain a normal distribution. A p-value below 8.51e-03 was considered as statistically significant, based on Matrix Spectral Decomposition with an effective number of independent variables (VeffLi) of 6. All analyses were performed using R studio. We assessed 11 SNPs in 700 Caucasian PCOS women. Human AMH promoter polymorphism rs10406324 (-220 A/G) was associated with serum levels of AMH in the linear regression analysis (β = 0.52, p=6.08e-07). This association was also present in the dominant carrier model (AA: 9.85 ng/ml ± 0.27 (n=645) vs AG/GG: 7.60ng/ml ± 0.84 (n=54/n=1), p=6.48e-05, F = 16.2). The association of TFC and the polymorphism rs10406324, corrected for Age, BMI and AMH, showed an inverse trend compared to serum AMH levels (β=-8.00, p=3.75e-03), however this result was not significant in the carrier model (AA: 42.2 ± 0.88 (n=645) vs AG/GG: 43.6 ± 2.41 (n=54/n=1), p=0.60, F = 0.281). Moreover, this SNP was not in LD with any other SNP in the selected region. The human AMH promoter polymorphism rs10406324 is associated with serum AMH levels in Caucasian PCOS women. Replication and functional analyses are necessary to further elucidate the mechanisms by which this SNP affects the AMH promoter activity.

Project description:BackgroundTo study whether AMH levels were associated with miscarriage rates in index ART cycles undergoing fresh autologous transfers in PCOS and non-PCOS related infertility.MethodsIn the SART CORS database 66,793 index cycles underwent fresh autologous embryo transfers with AMH values reported within the last 1-year between 2014 and 2016. Cycles that resulted in ectopic or heterotopic pregnancies, or were performed for embryo/oocyte banking were excluded. Data were analyzed using Graphpad Prism-9. Odds ratios (OR) were calculated with 95% confidence intervals (CI) along with multivariate regression analysis adjusting for age, body mass index (BMI), and number of embryos transferred. Miscarriage rates were calculated as miscarriage per clinical pregnancies.ResultsOf the total 66,793 cycles, the mean AMH was 3.2 ng/ml and were not associated with increased miscarriage rates for AMH < 1 ng/ml (OR 1.1, CI 0.9-1.4, p = 0.3). Of the 8,490 PCOS patients, the mean AMH was 6.1 ng/ml and were not associated with increased miscarriage rates for AMH < 1 ng/ml (OR 0.8, CI 0.5-1.1, p = 0.2). Of the 58,303 non-PCOS patients, the mean AMH was 2.8 ng/ml and there was a significant difference in miscarriage rates for AMH < 1 ng/ml (OR 1.2, CI 1.1-1.3, p < 0.01). All findings were independent of age, BMI and number of embryos transferred. This statistical significance did not persist at higher thresholds of AMH. The overall miscarriage rate for all cycles, and cycles with and without PCOS were each 16%.DiscussionThe clinical utility of AMH continues to increase as more studies investigate its predictive abilities regarding reproductive outcomes. This study adds clarity to the mixed findings of prior studies that have examined the relationship between AMH and miscarriage in ART cycles. AMH values of the PCOS population are higher than the non-PCOS. The elevated AMH associated with PCOS decreases its utility in predicting miscarriages in IVF cycles as it may be representing the number of developing follicles rather than oocyte quality in the PCOS patient population. The elevated AMH associated with PCOS may have skewed the data; removing this sub-population may have unmasked significance within the non-PCOS associated infertility.ConclusionsAMH < 1 ng/mL is an independent predictor of increased miscarriage rate in patients with non-PCOS infertility.

Dataset Information

Does AMH Reflect Follicle Number Similarly in Women with and without PCOS?

Context

Objective

Design

Setting

Patients

Intervention(s)

Main outcome measure(s)

Results

Conclusions

Publications

Does AMH Reflect Follicle Number Similarly in Women with and without PCOS?

Similar Datasets

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