Androgen profile in Chinese women with polycystic ovary syndrome in their reproductive years

Free Androgen Index Might Not Be a Perfect Predictor of Infertility Outcomes in Patients with Polycystic Ovary Syndrome Undergoing Frozen Embryo Transfer:A Retrospective Cohort Study

Purpose

It is well known that androgen excess impairs oocyte quality, endometrial receptivity and even embryo invasion to some extent. Free androgen index (FAI) is strongly recommended to evaluate active androgen. Previous studies have showed conflicting conclusions on the effect of hyperandrogenism on the pregnancy outcomes in patients with polycystic ovary syndrome (PCOS). This study aims to analyze the influence of hyperandrogenemia based on FAI on frozen embryo transfer (FET) outcomes in patients with PCOS.

Patients and Methods

Patients diagnosed with PCOS who underwent their first FET between January 2017 and April 2022 were stratified into two cohorts using FAI, a highly recommended parameter: PCOS with hyperandrogenemia (n=73) and PCOS without hyperandrogenemia (n=255). Basic and infertility characteristics were analyzed using Student's t-test or chi-square (χ2) statistics. Logistic regression analysis was performed to verify whether FAI was helpful in predicting pregnancy outcomes in women with PCOS.

Results

Body mass index (BMI), total gonadotropin (Gn), basal serum follicle-stimulating hormone (bFSH), basal serum testosterone (bT), sex hormone binding globulin (SHBG), and FAI were significantly different between the two groups. (P=0.005, P<0.001, P<0.001, P<0.001, and P<0.001, respectively). However, clinical pregnancies, abortions, and live births did not differ significantly. Further regression analyses showed that FAI was not related to clinical pregnancy, abortion, or live birth rates (adjusted odds ratio (OR)=0.978, 95% confidence interval (CI)=0.911-1.050, P=0.539; adjusted OR=1.033, 95% CI=0.914-1.168, P=0.604; and adjusted OR=0.976, 95% CI=0.911-1.047, P=0.499, respectively).

Conclusion

FAI was not associated with pregnancy outcomes in patients with PCOS; that is, it did not reflect any negative effects of hyperandrogenemia on pregnancy outcomes in patients with PCOS and was not an informative clinical parameter. Therefore, more attention should be paid to the factors that influence the accuracy of FAI in reflecting androgen levels in vivo, and further discussion is needed.

Androgen signalling in the ovaries and endometrium

Currently, our understanding of hormonal regulation within the female reproductive system is largely based on our knowledge of estrogen and progesterone signalling. However, while the important functions of androgens in male physiology are well known, it is also recognized that androgens play critical roles in the female reproductive system. Further, androgen signalling is altered in a variety of gynaecological conditions, including endometriosis and polycystic ovary syndrome, indicative of regulatory roles in endometrial and ovarian function. Co-regulatory mechanisms exist between different androgens, estrogens, and progesterone, resulting in a complex network of steroid hormone interactions. Evidence from animal knockout studies, in vitro experiments, and human data indicate that androgen receptor expression is cell-specific and menstrual cycle stage-dependent, with important regulatory roles in the menstrual cycle, endometrial biology, and follicular development in the ovaries. This review will discuss the expression and co-regulatory interactions of androgen receptors, highlighting the complexity of the androgen signalling pathway in the endometrium and ovaries, and the synthesis of androgens from additional alternative pathways previously disregarded as male-specific. Moreover, it will illustrate the challenges faced when studying androgens in female biology, and the need for a more in-depth, integrative view of androgen metabolism and signalling in the female reproductive system.

The impact of hyperandrogenism on the outcomes of ovulation induction using gonadotropin and intrauterine insemination in women with polycystic ovary syndrome

Objective

This study aimed to investigate the impact of hyperandrogenism (HA) on the outcomes of ovulation induction (OI) using gonadotropin and intrauterine insemination (IUI) in patients with polycystic ovary syndrome (PCOS).

Methods

This was a retrospective cohort study including 415 patients undergoing OI using gonadotropin and IUI treatment between January 2018 and December 2020 at a single infertility center. Baseline characteristics, clinical and laboratory parameters, and pregnancy outcomes were investigated.

Results

Among the study population, there were 105 hyperandrogenic (25.3%) and 310 non-hyperandrogenic patients (74.7%). The live birth rate was lower in the HA group than in the non-HA group, but this difference did not reach statistical significance due to the limited sample size (14.3% vs. 21.0%, relative risk=0.68; 95% CI, 0.41–1.14, p=0.153). No predictive factors for live birth were identified through logistic regression analysis.

Conclusion

HA did not negatively affect the outcomes of OI using gonadotropin and IUI cycles in Vietnamese women with PCOS. The result may not be applicable elsewhere due to the large variation in the characteristics of women with PCOS across races and populations.

AMH Is a Good Predictor of Metabolic Risk in Women with PCOS: A Cross-Sectional Study

OBJECTIVE

The relationship between metabolic risk and ovarian function is ambiguous. This retrospective study analyzed the medical records of 461 PCOS patients collected between January 2019 and June 2020 to investigate the relationship between serum anti-Müllerian hormone (AMH) and parameters of metabolic risk in the population with polycystic ovary syndrome (PCOS).

METHODS

A total of 461 PCOS patients aged 20-40 years were included and stratified into four groups according to the AMH level. The association between AMH and the parameters related to metabolic risk in these groups was compared, and the discrepancies were further explored. Binary logistic regression was performed to examine the risk factors of HOMA-IR. The values of AMH that best predicted the risk of HOMA-IR were also analyzed by ROC curves.

RESULTS

AMH was negatively associated with HOMA-IR (odds ratio (OR) -0.279, 95% confidence interval (CI) -0.36 to -0.20), fasting insulin (OR -0.282, 95% CI -0.36 to -0.20), 1-hour postprandial insulin (OR -0.184, 95% CI -0.28 to -0.11), 2-hour postprandial insulin (-0.180, 95%CI -0.28 to -0.11), 3-hour postprandial insulin (OR -0.198, 95% CI -0.30 to -0.13), waist-hip ratio (OR -0.235, 95% CI -0.31 to -0.14), and body mass index (OR -0.350, 95% CI -0.43 to -0.27). There was no statistically significant relationship between blood pressure, serum glucose profile, or lipid levels and AMH. Binary logistic regression showed that AMH protected against the occurrence of PCOS patients (OR: 0.835, 0.776, and 0.898). For the prediction of HOMA-IR, AMH had an AUC-ROC of 0.704 (95% CI 0.652-0.755) with a cutoff value of 7.81 mmol/L, a sensitivity of 70.3%, and a specificity of 70.1%.

CONCLUSIONS

Higher AMH levels were significantly associated with a lower insulin profile and might be a useful predictor for HOMA-IR in PCOS patients.

The predictive value of total testosterone alone for clinical hyperandrogenism in polycystic ovary syndrome

RESEARCH QUESTION

Is the sole measurement of total testosterone sufficient to assess the presence of hyperandrogenism in women with polycystic ovary syndrome (PCOS)?

DESIGN

Serum samples from 294 patients with PCOS who met the Rotterdam criteria were used for the analysis of total testosterone by liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) and chemiluminescent immunoassay (CLIA). The free androgen index (FAI) was calculated as total testosterone (TT)/sex hormone-binding globulin (SHBG) × 100%, and the presence/degree of hirsutism were assessed using the modified and simplified Ferriman-Gallwey (mFG and sFG, respectively) scoring systems.

RESULTS

The hirsute subjects presented higher LC-MS/MS-based total testosterone and FAI values than the non-hirsute subjects (all P < 0.001), including those defined based on mFG ≥5 or sFG ≥3. Total testosterone and FAI were both positively correlated with the mFG (rank correlation coefficient [RCC] 0.598 and 0.443, P < 0.001) or sFG (RCC 0.747 and 0.568, P < 0.001) score, and a receiver operating characteristic curve analysis indicated that both parameters could significantly predict the presence of hirsutism determined by the mFG (area under the curve [AUC] 0.797 and 0.725, P < 0.001) or sFG (AUC 0.894 and 0.817, P < 0.001) score. However, similar results were not obtained with the CLIA platform.

CONCLUSIONS

In this East Asian population, total testosterone was found to be a strong predictor of the presence and degree of hyperandrogenism (i.e. assessed by the presence and degree of hirsutism), but this finding was obtained only if the total testosterone level was measured by LC-MS/MS and not by CLIA. These findings might have important implications for global epidemiologic, phenotypic and clinical studies of PCOS.

Prevalence and Risk Factors of Elevated Liver Enzymes in Japanese Women With Polycystic Ovary Syndrome

Background

Polycystic ovary syndrome (PCOS) is a common endocrine disorder among reproductive-aged women. While PCOS is associated with an increased risk of obesity and insulin resistance, little is known regarding the prevalence of and risk factors for nonalcoholic fatty liver disease (NAFLD) among Japanese women with PCOS. We estimated the prevalence of and risk factors for elevated liver enzymes, as the index of NAFLD, in Japanese women with PCOS.

Methods

We retrospectively reviewed 102 reproductive-aged women who visited the Department of Gynecology, Kyoto Medical Center in Japan from January 2000 to September 2016. Inclusion criterion was confirmed diagnosis of PCOS using International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10) codes. Exclusion criteria were women with a history of liver diseases, missing body mass index (BMI) and serum alanine aminotransferase (ALT) data, and pregnancy. Data regarding age; BMI; and levels of blood glucose, serum lipid, liver enzymes, and sex hormones were obtained from medical records. Elevated liver enzymes was defined as ALT > 19 IU/L. Optimal cutoffs for risk factors for elevated liver enzymes were calculated to determine predictors of elevated liver enzymes using area under the curve (AUC) by receiver-operating characteristics (ROC).

Results

The prevalence of elevated liver enzymes was 33.3%. BMI was significantly higher in PCOS patients than in those without elevated liver enzymes (25.3 vs. 20.7 kg/m², P < 0.05). ROC analyses were performed using BMI and blood glucose and testosterone levels because BMI and blood glucose showed differences between the groups and testosterone is related to fatty liver. AUC of the model including BMI and blood glucose and testosterone levels was 0.861 (sensitivity, 66.7%; specificity, 100%).

Conclusions

These findings suggest that elevated liver enzymes are common in women with PCOS. An algorism using BMI and blood glucose and testosterone levels might be useful to determine elevated liver enzymes in women with PCOS. Our finding may be useful for the study of NAFLD among Japanese women with PCOS since several previous studies have indicated elevated liver enzymes to be related to the potential presence of NAFLD. Further examination, including abdominal ultrasonography and/or liver biopsy data, is required to confirm these results.