Correlation between anti-Mullerian hormone levels and antral follicle counts in polycystic ovary and metabolic syndromes

New insights into the relationship of antimüllerian hormone with polycystic ovary syndrome and its diagnostic accuracy: an updated and extended meta-analysis using a marginal beta-binomial model

OBJECTIVE

This study aimed to investigate the diagnostic role of antimüllerian hormone in polycystic ovary syndrome using an advanced marginal beta-binomial statistical model, and present the optimal cutoff by different age groups, geographical locations, body mass indexes, and other relevant factors.

DATA SOURCES

A comprehensive and systematic literature search was conducted in Web of Science, PubMed/Medline, Scopus, Cochrane Library, Embase, and ProQuest until August 2024.

STUDY ELIGIBILITY CRITERIA

Epidemiologic studies that used the Androgen Excess and Polycystic Ovary Syndrome Society, National Institutes of Health, or Rotterdam diagnostic criteria for polycystic ovary syndrome were included in this meta-analysis. Studies were eligible for inclusion if they provided information on the sensitivity and specificity of antimüllerian hormone or related data that allowed for the calculation of these parameters, and/or data on odds ratios and means.

METHODS

The diagnostic efficacy of antimüllerian hormone was assessed using the marginal beta-binomial statistical model and the summary receiver operating characteristic method in terms of pooled sensitivity, specificity, and diagnostic odds ratio with 95% confidence interval. Pooled weighted mean difference and pooled odds ratios with 95% confidence interval were estimated using a random effects model.

RESULTS

A total of 202 observational studies were included in the pooled analysis, of which 106 studies (including 19,465 cases and 29,318 controls) were used for meta-analysis of sensitivity/specificity and 186 studies (including 30,656 cases and 34,360 controls) for meta-analysis of mean difference. The pooled sensitivity, specificity, and diagnostic odds ratio for antimüllerian hormone were 0.79 (95% confidence interval, 0.52-0.97), 0.82 (95% confidence interval, 0.64-0.99), and 17.12 (95% confidence interval, 14.37-20.32), respectively. The area under the curve based on the summary receiver operating characteristic model was 0.90 (95% confidence interval, 0.87-0.93). Antimüllerian hormone levels were significantly higher in women with polycystic ovary syndrome than in control women (weighted mean difference, 4.91; 95% confidence interval, 4.57-5.27). In addition, individuals with higher antimüllerian hormone levels were more likely to be affected by polycystic ovary syndrome (odds ratio, 23.17; 95% confidence interval, 18.74-28.66; I2=94%; P<.001). A serum antimüllerian hormone concentration of >5.39 ng/mL was associated with polycystic ovary syndrome (sensitivity, 88.6%; specificity, 92.75%; likelihood ratio for a positive test result, 12.21; likelihood ratio for a negative test result, 0.12).

CONCLUSION

According to the results of this meta-analysis, serum antimüllerian hormone concentration is a valuable biomarker for the diagnosis of polycystic ovary syndrome. The cutoff points suggested by the current meta-analysis need to be evaluated and validated by future studies before their implementation into clinical practice.

METTL3-mediated m6A modification of CD36: Implications for glucose metabolism and inflammatory dysregulation in follicles of polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder that affects women of reproductive age and is characterized by menstrual irregularities, metabolic imbalances and infertility. The pathogenesis of PCOS is complex and not fully understood, and chronic inflammation and insulin resistance are implicated in its progression. In this study, we investigated the role of m6A methylation, an important epigenetic modification, in the pathogenesis of PCOS. Using methylated RNA immunoprecipitation sequencing (MeRIP-seq) and RNA sequencing (RNA-seq), we mapped the m6A methylation profile in granulosa cells from patients with PCOS and identified a significant regulatory effect on gene expression. CD36 is a novel m6A-regulated gene that may facilitate the progression of PCOS. We demonstrated that METTL3, an m6A methyltransferase, modulated CD36 expression and influenced glucose metabolism and inflammatory responses in PCOS. Employing KGN cells as a model of insulin resistance, we observed that CD36 knockdown ameliorated the impaired glucose uptake and significantly reduced the production of pro-inflammatory cytokines. These findings are consistent with the results of CD36 inhibition in a mouse model of PCOS, indicating a role of CD36 in modulating the disease phenotype. Our study delineates a previously unrecognized epigenetic mechanism involving m6A methylation in PCOS, highlighting the potential of targeting the METTL3-CD36 axis as a therapeutic strategy for managing ovarian inflammation and metabolic dysregulation in patients with PCOS.

Anti-müllerian hormone as a diagnostic biomarker for polycystic ovary syndrome and polycystic ovarian morphology: a systematic review and meta-analysis

IMPORTANCE

As part of the 2023 international evidence-based polycystic ovary syndrome (PCOS) guideline, this meta-analysis investigated the inclusion of Anti-Müllerian hormone (AMH) levels in the diagnostic criteria for PCOS.

OBJECTIVE

To answer the following three questions: 1) Are AMH levels effective in diagnosing PCOS in adult women? 2) Are AMH levels effective in diagnosing PCOS in adolescents? Are AMH levels effective in diagnosing polycystic ovarian morphology (PCOM)?

DATA SOURCES

Searches were conducted in six databases until July 31, 2023.

STUDY SELECTION AND SYNTHESIS

Eligible studies were those conducted in humans, published in English, and reporting sensitivity, specificity, and/or area under the curve values. Extracted data included study population, age, body mass index, AMH assay, cut-off value of AMH levels, sensitivity, specificity, and area under the curve values. The risk of bias was assessed using the quality assessment of diagnostic accuracy studies tool. A random effects model was used to test diagnostic accuracy.

MAIN OUTCOMES

Pooled sensitivity and specificity to use AMH levels for PCOS diagnosis in adults as well as adolescents and for detecting PCOM in adults.

RESULTS

Eighty-two studies were included. The adult AMH-PCOS meta-analyses (n = 68) showed a pooled sensitivity and specificity of 0.79 (95% confidence interval [CI], 0.76-0.82; I2 = 86%) and 0.87 (95% CI, 0.84-0.89; I2 = 91%). The adolescent AMH-PCOS meta-analysis (n = 11) showed a pooled sensitivity and specificity of 0.66 (95% CI, 0.58-0.73; I2 = 74%) and 0.78 (95% CI, 0.71-0.83; I2 = 45%). The adult AMH-PCOM meta-analysis (n = 7) showed a pooled sensitivity and specificity of 0.79 (95% CI, 0.72-0.85; I2 = 94%) and 0.87 (95% CI, 0.78-0.93; I2 = 94%). CONCLUSION AND RELEVANCE: This study investigated the most profound change in the 2023 international evidence-based PCOS guideline, which now recommends AMH levels for defining PCOM in adults in accordance with the diagnostic algorithm. Antimüllerian hormone levels alone are insufficient for PCOS diagnosis and are nonspecific for PCOM in adolescents. Multiple factors influence AMH levels and cause heterogeneity as well as limitations in this study. Consequently, no international cut-off value could be recommended, emphasizing the need for research on more individualized cut-off values.

Correlation between anti-mullerian hormone with insulin resistance in polycystic ovarian syndrome: a systematic review and meta-analysis

BACKGROUND

Epidemiological studies regarding the correlation between anti-Müllerian hormone (AMH) and insulin resistance (IR) in polycystic ovarian syndrome (PCOS) remain inconsistent. The primary aim of this study was to determine the correlations between AMH and IR in patients with PCOS and to explore the selected factors that influence the correlations.

METHODS

We conducted systemic searches of online databases (PubMed, Science Direct, Taylor and Francis, Scopus, and ProQuest) from inception to December 20, 2023 and manual searches of the associated bibliographies to identify relevant studies. We then performed subgroup and sensitivity analyses to explore the sources of heterogeneity, followed by a publication bias risk assessment of the included studies using the Joanna Briggs Institute critical appraisal tool. We used a random-effects model to estimate the pooled correlations between AMH and the homeostatic model assessment for insulin resistance (HOMA-IR) in patients with polycystic ovarian syndrome (PCOS).

RESULTS

Of the 4835 articles identified, 22 eligible relevant studies from three regions were included and identified as low risk of bias. The random-effects pooled correlation estimate was 0.089 (95% confidence interval [CI]: -0.040, 0.215), with substantial heterogeneity (I2 = 87%; τ2 = 0.0475, p < .001). Subgroup analyses showed that the study region did not influence the correlation estimates, and sensitivity analysis showed no significant alteration in the pooled correlation estimate or 95% CI values. No publication bias was observed.

CONCLUSION

There was a weak, statistically insignificant correlation between AMH and HOMA-IR in patients with PCOS. The correlation estimates did not vary according to the study participants' regions.

The impact of follicular fluid phthalate metabolites on the ovarian reserve and ovarian function in Indian women undergoing intracytoplasmic sperm injection

OBJECTIVE

To investigate the adverse effects of phthalate-induced ovarian toxicity on the ovarian reserve and ovarian function. To assess whether the accumulation of higher levels of selected phthalate metabolites in the follicular fluid (FF) of Indian women undergoing intracytoplasmic sperm injection (ICSI) was associated with a decline in their antral follicle count (AFC) and/or serum antimüllerian hormone (AMH) levels, suggesting a negative impact on the ovarian reserve. To evaluate the effects of follicular phthalate metabolites on peak serum estradiol (E2) levels and the total number of oocytes and mature metaphase II (MII) stage oocytes retrieved to assess the impact of phthalate toxicity on ovarian function.

DESIGN

A subanalysis of an ongoing prospective cohort study was conducted to examine the association between the levels of six phthalate metabolites, namely, mono-n-butyl phthalate (MBP), mono-ethyl phthalate (MEP), mono-isononyl phthalate (MiNP), mono-isodecyl phthalate (MiDP), mono(2-ethyl-5-oxohexyl) phthalate, and mono(2-ethyl-5-hydroxyhexyl) phthalate, in the FF of Indian women undergoing ICSI and their ovarian reserve markers (AFC and serum AMH levels). To investigate the association of these follicular phthalate metabolite levels with the peak E2 levels and the total number of oocytes and number of MII stage oocytes retrieved.

SETTING

In vitro fertilization center in a referral hospital in India.

PATIENT(S)

A total of 245 consenting Indian women who had undergone oocyte retrieval between April 2017 and mid-March 2020 were included. Each woman contributed one FF sample to the study. This was screened for six phthalate metabolites. The samples were collected before the coronavirus disease 2019 pandemic.

INTERVENTION(S)

Using liquid chromatography-tandem mass spectrometry, the total levels of six phthalate metabolites were quantified in the FF of 245 women. Using linear regression models that were unadjusted and adjusted for maternal age and body mass index (BMI), we evaluated the association between the follicular metabolites in these women and their AFC, serum AMH levels, peak E2 levels, total number of oocytes, and MII stage oocytes.

MAIN OUTCOME MEASURE(S)

To evaluate the impact of phthalate-induced ovarian toxicity on the ovarian reserve and ovarian function in Indian women undergoing ICSI by studying their accumulated levels in their FF.

RESULT(S)

For MiNP (a metabolite of di-isononyl phthalate), in linear regression models adjusted for age and BMI, we found that with increasing quartiles of follicular MiNP, there was a significant trend in the decrease in mean AFC (P-trend = 0.023) and a suggestive trend in the decrease in mean serum AMH levels (P-trend = 0.077). For MiDP (a metabolite of di-isodecyl phthalate), in the unadjusted regression model, we found that with increasing quartiles of follicular MiDP, there was a significant trend in the decrease in mean serum AMH levels (P-trend = 0.045). For MBP (a metabolite of dibutyl phthalate), in linear regression models adjusted for age and BMI, we found that with increasing quartiles of follicular MBP, there were significant trends in the decrease in the mean number of total oocytes retrieved (P-trend = 0.003), a decrease in the mean number of MII stage oocytes retrieved, (P-trend = 0.003) and a decrease in the mean peak E2 levels (P-trend = 0.016). Although we found that with increasing quartiles of follicular mono(2-ethyl-5-oxohexyl) phthalate there was a decrease in the mean number of total and MII stage oocytes retrieved and higher follicular MEP levels were negatively associated with the mean AFC and serum AMH levels, neither trend was statistically significant. We also found that although follicular MEP levels did not show an adverse impact on ovarian function, follicular mono(2-ethyl-5-hydroxyhexyl) phthalate levels did not show an adverse impact on both the ovarian reserve and function.

CONCLUSION

In this study of 245 Indian women, higher accumulated FF levels of MiNP and MiDP were negatively associated with AFC and serum AMH levels, suggesting an adverse effect on the ovarian reserve. Higher accumulated FF levels of MBP were negatively associated with the total number of oocytes, MII stage oocytes, and peak E2 values, suggesting a negative impact on ovarian function. Although we found that phthalate-induced ovarian toxicity was statistically significant for selected phthalate metabolites, the role of the cumulative effect of multiple phthalates in the ovarian microenvironment cannot be ruled out and needs to be investigated further.

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.

Determining the age group-based cut-off values of serum anti-Mullerian hormone concentrations to diagnose polycystic ovary syndrome

OBJECTIVE

To determine the cut-off values of the serum anti-Müllerian hormone (AMH) concentration for different age groups (21-25, 26-30, 31-35 years) to diagnose polycystic ovary syndrome (PCOS).

METHODS

In total, 187 women aged 21-35 years were included in this descriptive study. Patients diagnosed with PCOS according to the Rotterdam Criteria formed the PCOS group (n = 93), whereas those without symptoms related to PCOS formed the control group (n = 94). Follicular phase serum hormone concentrations were evaluated during the endocrinological assessment of patients with PCOS. Serum levels of estradiol, follicle-stimulating hormone (FSH), luteinizing hormone (LH), prolactin, total testosterone, dehydroepiandrosterone sulfate, sex hormone-binding globulin, androstenedione, and AMH were measured. The free androgen index and LH/FSH ratio were calculated. Cut-off values of serum AMH concentrations for the age groups were measured using receiver operating characteristic curve analysis.

RESULTS

The prevalence rates of frank, ovulatory, normoandrogenic, and non-polycystic ovary PCOS were 69.9, 10.8, 10.8, and 8.6%, respectively. Serum AMH concentrations >5.56 ng/mL were associated with PCOS in the 21-25-year-old group. The cut-off value was 4.01 ng/mL in the 26-30-year-old group, whereas it was 3.42 ng/mL in the oldest age group. The correlation between the antral follicle count (AFC) and serum AMH level was strong for each age group.

CONCLUSIONS

The serum AMH concentration is a valuable parameter for assessing patients with symptoms indicative of PCOS. We recommend measuring serum AMH levels to support the diagnosis or to use them instead of the AFC for the Rotterdam criteria.

Short-chain fatty acid-butyric acid ameliorates granulosa cells inflammation through regulating METTL3-mediated N6-methyladenosine modification of FOSL2 in polycystic ovarian syndrome

Polycystic ovary syndrome (PCOS) is an endocrine and metabolic disorder characterized by chronic low-grade inflammation. Previous studies have demonstrated that the gut microbiome can affect the host tissue cells' mRNA N6-methyladenosine (m6A) modifications. This study aimed to understand the role of intestinal flora in ovarian cells inflammation by regulating mRNA m6A modification particularly the inflammatory state in PCOS. The gut microbiome composition of PCOS and Control groups was analyzed by 16S rRNA sequencing, and the short chain fatty acids were detected in patients' serum by mass spectrometry methods. The level of butyric acid was found to be decreased in the serum of the obese PCOS group (FAT) compared to other groups, and this was correlated with increased Streptococcaceae and decreased Rikenellaceae based on the Spearman's rank test. Additionally, we identified FOSL2 as a potential METTL3 target using RNA-seq and MeRIP-seq methodologies. Cellular experiments demonstrated that the addition of butyric acid led to a decrease in FOSL2 m6A methylation levels and mRNA expression by suppressing the expression of METTL3, an m6A methyltransferase. Additionally, NLRP3 protein expression and the expression of inflammatory cytokines (IL-6 and TNF-α) were downregulated in KGN cells. Butyric acid supplementation in obese PCOS mice improved ovarian function and decreased the expression of local inflammatory factors in the ovary. Taken together, the correlation between the gut microbiome and PCOS may unveil crucial mechanisms for the role of specific gut microbiota in the pathogenesis of PCOS. Furthermore, butyric acid may present new prospects for future PCOS treatments.