Opposing effects of dehydroepiandrosterone sulfate and free testosterone on metabolic phenotype in women with polycystic ovary syndrome

Progress in nanoparticle-based electrochemical biosensors for hormone detection

Hormones are chemical messengers that regulate a wide range of physiological processes including metabolism, development, growth, reproduction and mood. The concentration of hormones that orchestrate the numerous bodily functions is very low (1 nM or less). Efforts have been made to develop highly sensitive tools to detect them. This review represents a critical comparison between different types of nanoparticle-based electrochemical biosensors for the detection of various hormones, namely cortisol, sex hormones (estradiol, progesterone, testosterone), insulin, thyroid-stimulating hormone (TSH) and growth hormone (GH). The electrochemical biosensors investigated for each hormone are first divided on the basis of the biological fluid tested for their detection, and successively on the basis of the electrochemical transducer utilized in the device (voltammetric or impedimetric). Focus is placed on the nanoparticles employed and the successive electrode modification developed in order to improve detection sensitivity and specificity and biosensor stability. Limit of detection (LOD), linear range, reproducibility and possibility of regeneration for continuous reuse are also investigated and compared. The review also addresses the recent trends in the development of wearable biosensors and point-of-care testing for hormone detection in clinical diagnostics useful for endocrinology research, and the future perspectives regarding the integration of nanomaterials, microfluidics, near field communication (NFC) technology and portable devices.

European survey of diagnosis and management of the polycystic ovary syndrome: full report on the ESE PCOS Special Interest Group's 2023 Questionnaire

BACKGROUND

Although polycystic ovary syndrome (PCOS) is a very common endocrinopathy, there are several issues related to this disorder which perplex clinicians in their everyday practice.

OBJECTIVE

To determine the current state of knowledge among European endocrinologists concerning the full spectrum of PCOS.

METHODS

An online survey comprising 41 items covering various aspects of PCOS diagnosis and management was distributed to members of the European Society of Endocrinology.

RESULTS

A total of 505 European endocrinologists (64% females), with a mean age of 47 ± 11.6 years, participated in the survey. The Rotterdam criteria were the primary diagnostic tool for 85% of respondents. Most referrals (87.1%) occurred between ages 20 and 40 years. Twenty-five percent of physicians have access to mass spectrometry for the evaluation of androgen levels. While an extended metabolic profile was commonly employed as part of the workup, there was uncertainty regarding chronic anovulation diagnosis. Diabetes, including gestational or type 2, was recognized as a significant risk factor with universal screening irrespective of BMI status. Lifestyle modification and metformin were considered as standard interventions by all participants alongside oral contraceptives, though there was significant discrepancy in treatment duration.

CONCLUSIONS

The Rotterdam diagnostic criteria are widely adopted for PCOS diagnosis among European endocrinologists. The current updated survey shows an emphasis on steroid profiling as an important part of diagnostic workup and a strong position held for recognition of PCOS as a metabolic condition with potentially serious implications. Current therapy thus shifted to the demand for prioritizing lifestyle interventions and metabolic therapies, either as monotherapy or in combination with standard hormone compounds.

Impact of dehydroepiandrosterone sulfate and free androgen index on pregnancy and neonatal outcomes in PCOS patients

BACKGROUND

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder associated with infertility and pregnancy complications. The pathogenesis of PCOS and its impact on reproductive function may be influenced by the source of androgens, including testosterone, free androgen, dehydroepiandrosterone sulfate (DHEAS). However, the differential effects of these androgen on pregnancy and neonatal outcomes and the cut-off value of East Asian population with PCOS remain unclear.

METHODS

A retrospective cohort study was conducted at the Reproductive Medicine Center of the First Affiliated Hospital of Sun Yat-sen University from January 2015 to November 2022, involving 636 cycles of in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI). Subgroup analyses were performed using cut-off values of 6.4 for free androgen index (FAI), 9.5 µmol/L for DHEAS. Pregnancy and neonatal outcomes were compared between groups. Restricted cubic spline (RCS) was used to identify significant cut-off values affecting pregnancy.

RESULTS

Higher FAI levels (> 6.4) were associated with decrease in clinical pregnancy rate (PR) (50.61% vs. 41.66%, p = 0.024), live birth rate (LBR) (42.42% vs. 32.35%, p = 0.011). When DHEAS levels exceeded 9.5 µmol/L, there was a significant decrease in clinical PR (51.27% vs. 42.73%, P = 0.039), LBR (42.73% vs. 32.73%, P = 0.012). Negative correlations were also observed between DHEAS levels and cumulative pregnancy rate (70.57% vs 56.62% p = 0.002) and cumulative live birth rate (CLBR) (59.35% vs 43.37%, p = 0.0007). Both FAI and DHEAS elevated is associated with the lowest clinical pregnancy rate (37.84%). Conversely, when solely FAI is elevated, the pregnancy rate increases to 52.38%, while an elevation in DHEAS alone is associated with a pregnancy rate of, both of which are lower than when neither FAI nor DHEAS are elevated (60.68%). The live birth rates exhibit a similar trend (30.00% vs 40.00% vs 41.83% vs 44.48%). RCS revealed a significant decrease in CPR and CLBR when DHEA levels exceeded 7.69 umol/L, while the cut-off value of FAI was 6.36 for CPR and CLBR.

CONCLUSION

In conclusion, PCOS patients with biochemical hyperandrogenism show unsatisfactory clinical PR and CLBR when undergoing assisted reproductive technology (ART). This may be attributed to the influence of both adrenal-derived DHEAS and ovarian-derived FAI on the unfavorable pregnancy outcomes.

Is it useful to measure DHEAS levels in PCOS?

INTRODUCTION

A high prevalence of increased DHEAS (dehydroepiandrosterone sulfate) levels (about a third of cases) has been reported in women with polycystic ovary syndrome (PCOS). This excess of adrenal androgens remains a mystery in this ovarian pathology. It is well known that DHEAS production correlates negatively with age, and study populations of women with PCOS are generally young. To avoid this bias, a study was carried out on a large population of women with PCOS and control women, using normal DHEAS values for each age group, to better assess prevalence and better understand the link between PCOS and DHEAS.

METHODS

A retrospective cross-sectional study was conducted at the Lille University Hospital. A total of 1223 patients with PCOS according to the Rotterdam criteria and 517 control women were included. DHEAS elevation was diagnosed according to the standards of the Lille University Hospital Institute of Biochemistry and Molecular Biology, based on patient age. The prevalence of increased serum DHEAS levels was calculated in each population and according to PCOS phenotype. Correlations were assessed between serum DHEAS levels and clinical, hormonal, and metabolic markers, with adjustment for age.

RESULTS

Prevalence of increased DHEAS was significantly higher in the PCOS group than in the control group (8.1 vs. 4.3%; OR=1.98 (95%CI: 1.23-3.19), P=0.005, and OR=1.07 (95%CI: 1.05-1.09), P=0.014 without and with adjustment for BMI respectively), and in phenotypes A and C than in controls (OR=2.88 (95%CI: 1.76 to 4.72), P<0.001 and OR=2.81 (95%CI: 1.39 to 5.67), P=0.004 respectively), but not in phenotype D. A correlation was found between DHEAS level and total testosteronemia (r=0.34, P<0.001), androstenedione (r=0.24, P<0.001), 17 hydroxyprogesteronemia (r=0.22, P<0.001) and age (r=0.25, P<0.001). No correlations were found with AMH, LH or FSH, and a very weak positive correlation was found with BMI (r=0.15; P<0.001).

CONCLUSION

Using age-dependent norms, DHEAS elevation was found in only 8.1% of women with PCOS (11% in the case of phenotypes A and C) versus 4.3% in controls and women with phenotype D. DHEAS levels correlated only with other androgens, and not (or only minimally) with other ovarian, pituitary or metabolic markers. DHEAS assay therefore appears to be of no interest for positive diagnosis or understanding of the pathophysiology of PCOS, except in case of very high testosterone levels.

Comparative Study of Insulin Sensitivity and Resistance and Their Correlation with Androgens in Lean and Obese Women with Polycystic Ovary Syndrome

There is a lack of consensus on the optimal screening strategy for insulin resistance (IR), particularly in lean women with polycystic ovary syndrome (PCOS). Therefore, we conducted a cross-sectional study in 80 women with PCOS (28 lean/52 obese) and 80 age- and body mass index (BMI)-matched controls. Using a 5-point 75-g oral glucose tolerance test (OGTT) (0, 30, 60, 90, 120 min), we examined glucose and insulin excursions, IR, insulin sensitivity, beta-cell function (ßF), and the effect of androgens on IR. Lean and obese women with PCOS had similar glucose but higher insulin (except fasting in lean women) and insulin AUC as compared to their respective controls (p < 0.05). Lean women with PCOS were equally insulin-resistant but more hyperinsulinemic than the obese controls (p < 0.05). Although ßF ([1st phase: 481.71 ± 263.53 vs. 430.56 ± 232.37], [2nd phase: 815.16 ± 447.12 vs. 752.66 ± 428.95]) was comparable in lean and obese women with PCOS, lean women had better insulin sensitivity (112.78 ± 66.26 vs. 75.49 ± 55.6) (p < 0.05). Dehydroepiandrosterone sulfate (DHEAS) and androstenedione decreased with increasing BMI in lean women, and this correlated with deteriorating insulin sensitivity and exaggerated hyperinsulinemia. In obese women with PCOS, sex hormone-binding globulin (SHBG) correlated negatively with BMI and hyperinsulinemia, and positively with insulin sensitivity. This data suggests that estimating only fasting insulin may miss IR in lean women with PCOS; hence, additional time points in OGTT will add value to screening for IR. DHEAS and androstenedione may have a beneficial effect on insulin sensitivity and may be used to screen IR in lean women, while SHBG can be used as a predictive marker for IR in obese women with PCOS.

Association of size for gestational age and dehydroepiandrosterone sulfate with cardiometabolic risk in central precocious puberty girls

Objective

The aim of this study was to assess whether size for gestational age and dehydroepiandrosterone sulfate (DHEAS) are associated with cardiometabolic risk in central precocious puberty (CPP) girls.

Methods

The retrospective study included 443 patients with newly diagnosed CPP. Subjects were categorized by birth weight for gestational age (appropriate [AGA], small [SGA], and large [LGA] for gestational age) and serum DHEAS concentration (high [≥75th percentile] and normal [<75th percentile] DHEAS). Cardiometabolic parameters were examined. Composite cardiometabolic risk (CMR) score was calculated based on BMI, blood pressure, glucose, insulin, triglyceride, and HDL cholesterol. Non-obesity CMR score was computed, omitting the value from BMI. Logistic regression models, general linear models, and partial correlation analyses were used to evaluate associations. Propensity score matching was performed for sensitivity analyses.

Results

Overall, 309 patients (69.8%) were born AGA, 80 (18.1%) were born SGA, and 54 (12.2%) were born LGA. Compared with AGA counterparts, CPP girls born SGA were more prone to have elevated HbA1c (adjusted OR = 4.54; 95% CI, 1.43-14.42) and low HDL cholesterol (adjusted OR = 2.33; 95% CI, 1.18-4.61). In contrast, being born LGA was not associated with increased risk for any glucose or lipid derangements. Despite the fact that elevated CMR score was more common among individuals born LGA than AGA (adjusted OR = 1.84; 95% CI, 1.07-4.35), no significant difference was found on non-obesity CMR score (adjusted OR = 0.75; 95% CI, 0.30-1.88). When controlling for age, birth weight SDS, and current BMI-SDS, individuals with high DHEAS exhibited higher HDL cholesterol and apolipoprotein A-1 concentrations and lower triglyceride level and non-obesity CMR score. Furthermore, DHEAS correlated positively with HDL cholesterol and apolipoprotein A-1 and negatively with triglyceride, prominently in girls born SGA, after adjustments for the three abovementioned confounders. Sensitivity analyses corroborated the findings.

Conclusion

Among CPP girls, those born SGA were more likely to possess cardiometabolic risk factors compared to their AGA peers. The difference we observed in cardiometabolic risk between individuals born LGA and AGA was driven by BMI. High DHEAS was associated with favorable lipid profile in CPP girls, even in subjects born SGA.

Influence of metformin on hyperandrogenism in women with polycystic ovary syndrome: a systematic review and meta-analysis of randomized clinical trials

PURPOSE

To summarize the effects of metformin treatment on markers of hyperandrogenism in patients diagnosed with polycystic ovary syndrome (PCOS).

METHODS

A systematic review, with meta-analysis, of randomized placebo-controlled clinical trials that evaluated the effects of metformin treatment in adult patients with PCOS on the levels of hyperandrogenism markers was conducted. The literature search, data extraction, risk of bias, and the assessment of certainty of evidence were performed independently by two reviewers using a structured form. The results were combined by applying the random effect, and the effect measure presented as a standardized mean difference (SMD). Significant values were considered as p < 0.05 with 95% CI. Furthermore, sensitivity analyses were performed in order to explore possible heterogeneity between studies.

RESULTS

Were included 18 studies in the quantitative evaluation and 17 studies (23 reports) in the quantitative evaluation. A significant reduction in total testosterone levels was seen in the metformin-treated group when compared to the control group after combining the results by the sensitivity analysis [SMD: - 0.46 (95% CI: - 0.89 to - 0.02)]. Therefore, FAI values were also regulated by metformin treatment.

CONCLUSION

We showed that metformin proved to be effective in reducing total testosterone levels, and the same was observed for free androgen index (FAI) values-a measure influenced by testosterone levels. The protocol of this study was registered at Prospero (CRD42021235761).

Adrenal Androgen Predictive Effects on Clinical and Metabolic Abnormalities of Polycystic Ovary Syndrome

OBJECTIVE

 To examine the possible effects of adrenal prohormones in the prediction of clinical and metabolic abnormalities in women with polycystic ovary syndrome (PCOS).

METHODS

 The present study enrolled 299 normal cycling non-PCOS, 156 normoandrogenemic, and 474 hyperandrogenemic women with PCOS. Baseline characteristics were compared using a chi-squared test or analysis of variance (ANOVA) as appropriate. The roles of adrenal prohormones and their ratios with total testosterone in predicting co-occurring morbidities in women PCOS were evaluated using univariate and multivariate logistic regression analyses.

RESULTS

 Adrenal hyperandrogenism per dehydroepiandrosterone sulfate (DHEAS) levels were found in 32% of women with PCOS. In non-PCOS women, dehydroepiandrosterone (DHEA) and its sulfate had no predictive role concerning clinical, anthropometric, and metabolic parameters. In PCOS women, mainly in the hyperandrogenemic group, DHEA showed to be a significant predictor against most anthropometric-metabolic index abnormalities (odds ratio [OR] = 0.36-0.97; p < 0.05), and an increase in triglycerides (TG) levels (OR = 0.76; p = 0.006). Dehydroepiandrosterone sulfate presented a few predictive effects regarding PCOS-associated disorders. In controls, DHEAS predicted against the increase in estimated average glucose (OR= 0.38; p = 0.036). In the normoandrogenic group, it predicted against elevation in the waist/hip ratio (WHR) (OR= 0.59; p = 0.042), and in hyperandrogenemic PCOS women, it predicted against abnormality in the conicity index (CI) (OR = 0.31; p = 0.028).

CONCLUSION

 Dehydroepiandrosterone was shown to be a better predictor of abnormal anthropometric and biochemical parameters in women with PCOS than DHEAS. Thus, regarding adrenal prohormones, DHEA measurement, instead of DHEAS, should be preferred in PCOS management. The effects of androgen prohormones on the prediction of PCOS abnormalities are weak.

Polycystic ovary syndrome and type 2 diabetes mellitus: A state-of-the-art review

Polycystic ovary syndrome (PCOS) often coexists with a wide spectrum of dysglycemic conditions, ranging from impaired glucose tolerance to type 2 diabetes mellitus (T2D), which occur to a greater extent compared to healthy body mass index-matched women. This concurrence of disorders is mainly attributed to common pathogenetic pathways linking the two entities, such as insulin resistance. However, due to methodological flaws in the available studies and the multifaceted nature of the syndrome, there has been substantial controversy as to the exact association between T2D and PCOS which has not yet been elucidated. The aim of this review is to present the best available evidence regarding the epidemiology of dysglycemia in PCOS, the unique pathophysiological mechanisms underlying the progression of dysglycemia, the most appropriate methods for assessing glycemic status and the risk factors for T2D development in this population, as well as T2D risk after transition to menopause. Proposals for application of a holistic approach to enable optimal management of T2D risk in PCOS are also provided. Specifically, adoption of a healthy lifestyle with adherence to improved dietary patterns, such the Mediterranean diet, avoidance of consumption of endocrine-disrupting foods and beverages, regular exercise, and the effect of certain medications, such as metformin and glucagon-like peptide 1 receptor agonists, are discussed. Furthermore, the maintenance of a healthy weight is highlighted as a key factor in achievement of a significant reduction of T2D risk in women with PCOS.

A comparison between the effect of trans-anethole and metformin on biochemical parameters of polycystic ovary syndrome in rats

Objective:

The effect of trans-anethole and metformin on biochemical and hormonal changes of testosterone-induced Polycystic ovary syndrome (PCOS) in rats was investigated.

Materials and Methods:

Female Wister rats (n=48) were randomly divided into six groups: control; PCOS; PCOS+metformin (300 mg/kg); and PCOS+trans-anethole (20, 40, and 80 mg/kg). PCOS was induced by intraperitoneal injection of testosterone (1 mg/kg/day) for 35 days. After induction of PCOS, trans-anethole and metformin were given orally for 30 days. Finally, blood sugar, insulin, lipid profile, and testosterone and dehydroepiandrosterone (DHEAS) as well as animals’ weight, and water and food intake were determined.

Results:

In all treated and untreated PCOS groups, serum testosterone levels were significantly increased compared to the control group (p<0.001 for all groups). Treatment of rats with trans-anethole or metformin significantly reduced serum levels of cholesterol, insulin, triglycerides, testosterone and DHEAS (only in PCOS+trans-anethole groups) compared to the PCOS group (p<0.01-p<0.001). Weight gain in the PCOS animals increased significantly compared to the control group (p<0.001), while in the metformin- and trans-anethole (40 and 80)-treated animals it decreased significantly compared to the PCOS group (p<0.01-p<0.001).

Conclusion:

These results showed that trans-anethole significantly decreased serum levels of insulin, DHEAS and blood lipids. It can be concluded that trans-anethole ameliorates PCOS biochemical and hormonal change in PCOS rats; therefore, it might be suggested as a beneficial remedy for further clinical evaluations in PCOS patients.

Differential Effects of Various Androgens on Polycystic Ovary Syndrome

The hyperandrogenism in polycystic ovary syndrome (PCOS) is associated with the risk for the future development of the cardiovascular disease. The objective of the study is to verify whether different androgens have the same harmful effect. This cross-sectional study enrolled 823 women with PCOS: 627 (76.2%) with biochemical hyperandrogenism and 196 (23.8%) with normal androgen levels. The role of individual androgen was evaluated using univariate and multivariate logistic regression. In normoandrogenemic PCOS (NA-PCOS), free androgen index (FAI) predicted significant abnormality in visceral adipose index (VAI, OR=9.2, p=0.002) and dehydroepiandrosterone (DHEA) predicted against alteration in β-cell function (OR=0.5, p=0.007). In hyperandrogenemic PCOS (HA-PCOS), FAI predicted derangements in waist triglyceride index (WTI), VAI, and lipid accumulation product (LAP) (OR ranging from 1.6 to 5.8, p<0.05). DHEA weakly predicted against VAI (OR 0.7, p=0.018), dehydroepiandrosterone sulfate (DHEAS) tended to predict against the conicity index (OR=0.7, p=0.037). After multiple regression, FAI retained significant strength to predict various anthropometric and metabolic abnormalities (OR ranging from 1.1 to 3.0, p<0.01), DHEA was kept as a protector factor against WTI, LAP, and VAI (OR ranging from 0.6 to 0.9; p<0.01) and DHEAS against the conicity index (OR=0.5, p<0.001). In conclusion, the free androgen index was the most powerful predictor of anthropometric and metabolic abnormalities of polycystic ovary syndrome. Conversely, DHEA and DHEAS demonstrated protective effects against disorders in some markers of obesity and abnormal metabolism.

Risk of Insulin Resistance and Metabolic Syndrome in Women with Hyperandrogenemia: A Comparison between PCOS Phenotypes and Beyond

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in premenopausal women, with a wide spectrum of possible phenotypes, symptoms and sequelae according to the current clinical definition. However, there are women who do not fulfill at least two out of the three commonly used "Rotterdam criteria" and their risk of developing type 2 diabetes or obesity later in life is not defined. Therefore, we addressed this important gap by conducting a retrospective analysis based on 750 women with and without PCOS. We compared four different PCOS phenotypes according to the Rotterdam criteria with women who exhibit only one Rotterdam criterion and with healthy controls. Hormone and metabolic differences were assessed by analysis of variance (ANOVA) as well as logistic regression analysis. We found that hyperandrogenic women have per se a higher risk of developing insulin resistance compared to phenotypes without hyperandrogenism and healthy controls. In addition, hyperandrogenemia is associated with developing insulin resistance also in women with no other Rotterdam criterion. Our study encourages further diagnostic and therapeutic approaches for PCOS phenotypes in order to account for varying risks of developing metabolic diseases. Finally, women with hyperandrogenism as the only symptom should also be screened for insulin resistance to avoid later metabolic risks.

Changes in Metabolic Profile in the Women with a History of PCOS-A Long-Term Follow-Up Study

Data concerning metabolic consequences in women with polycystic ovary syndrome (PCOS) are delivered mainly by cross-sectional studies. In this research, we re-examined 31 Caucasian PCOS women after a median period of 120.9 months to evaluate the changes in metabolic syndrome components. Clinical examination, oral glucose tolerance test with estimations of glucose and insulin, lipids, sex hormone-binding globulin (SHBG) and sex hormones assessments were performed on two occasions. Additionally, the euglycaemic hyperinsulinaemic clamp technique was used at the baseline to assess insulin sensitivity (M-clamp value). In the end, the median age of participants was 35. We observed an increase in glucose concentrations, a decrease in insulin concentrations and no changes in insulin resistance markers. Final mean glucose, mean insulin, Matsuda index and body mass index (BMI) were correlated with baseline M-clamp value and SHBG (p < 0.01). During the follow-up, no one in the sample developed diabetes. The annualised incidence rate for conversion from normoglycaemia to prediabetes totalled 4.5%. Baseline BMI, free androgen index, fasting glucose and M-clamp value were identified as prediabetes predictors in young PCOS women (respectively, OR = 1.17, OR = 1.42, OR = 1.2, OR = 0.73, p < 0.05). Prediabetes appeared in 76.47% of the women with a final BMI of ≥ 25 kg/m² and in 7.14% of the normal-weight women (p = 0.0001). In conclusion, we report a high rate of adverse change in glucose metabolism in overweight and obese participants, a deterioration in β-cell function and strong correlations between metabolic parameters assessed in the third and the fourth decade in PCOS women, emphasising the role of early intervention to prevent cardiometabolic diseases.

Prenatal Testosterone Exposure Disrupts Insulin Secretion And Promotes Insulin Resistance

Hyperandrogenemia and metabolic disturbances during postnatal life are strongly linked both to polycystic ovary syndrome and other conditions that arise from prenatal exposure to androgen excess. In an animal model of this condition, we reported that insulin sensitivity (IS) was lower in young female sheep born to testosterone-treated mothers versus sheep born to non-exposed mothers (control). This lower insulin sensitivity remains throughout reproductive life. However, it is unknown whether abnormal postnatal levels of testosterone (T) further decrease IS derived from prenatal exposure to testosterone. Therefore, we assessed the effects of an acute testosterone administration (40 mg) on IS and insulin secretion during an intravenous glucose tolerance test performed at 40 weeks of age (adulthood) in previously ovariectomized sheep at 26 weeks of age (prepuberty), that were either prenatally exposed to testosterone (T-females, n = 6) or not (C-females, n = 6). The incremental area under the curve of insulin was greater in C-females both with or without the acute testosterone treatment (P < 0.05). The ISI-Composite was lower after an acute testosterone treatment, only in T-females. We conclude that prenatal exposure to testosterone disrupts pancreatic insulin secretion in response to glucose and that in this setting further hyperandrogenemia may predispose to lower insulin sensitivity.

Hyperandrogenemia and insulin resistance: The chief culprit of polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is one of the most common systemic reproductive endocrine diseases, which has a variety of effects on a woman's health. Because of the involvement of multiple pathways and the lack of common clues, PCOS demonstrates multifactorial properties and heterogeneity of symptoms. Recent studies have demonstrated that the core etiology and primary endocrine characteristics of PCOS are hyperandrogenemia (HA) and insulin resistance (IR). HA and IR are the main causes of PCOS and they can interplay each other in the occurrence and development of PCOS. Just because of this, the study about the effects of HA and IR on pathophysiology of various related symptoms of PCOS is very important to understand the pathogenesis of PCOS. This paper reviews the main symptoms of PCOS, including neuroendocrine disorders, reproductive processes, dyslipidemia, obesity, hypertension, nonalcoholic fatty liver disease (NAFLD), and sleep disordered breathing, which seriously affect the physical and mental health of PCOS women. The increasing knowledge of the development pattern of HA and IR in PCOS suggests that changes in diet and lifestyle, and the discovery of potential therapeutic agents may improve PCOS. However, further studies are needed to clarify the mutual influence and relation of HA and IR in development of PCOS. This review provides an overview of the current knowledge about the effects of HA and IR on PCOS.

Dehydroepiandrosterone sulfate/free androgen index ratio predicts a favorable metabolic profile in patients with polycystic ovary syndrome

Potential effect of hyperandrogenemia on metabolic disturbances in polycystic ovary syndrome (PCOS) has always been a matter of interest. We analyzed the records of 125 patients with PCOS and 54 age-matched healthy women. All participants underwent biochemical and hormonal assessment and a 75 g oral glucose tolerance test was performed. PCOS and control groups were comparable in terms of age. Dehydroepiandrosterone sulfate/free androgen index (DHEAS/FAI) ratio was negatively correlated with body mass index (BMI) (p < .001), fasting glucose (p = .02), area under the curve (AUC) of glucose (p = .03), AUC of insulin (p = .001), homeostasis model assessment-estimated insulin resistance (HOMA-IR) (p < .001), and triglycerides (TG) (p = .009), and positively correlated with insulin sensitivity index (ISI) (p < .001) and high-density lipoprotein cholesterol (HDL-C) (p < .001) among PCOS patients. In logistic regression analysis, higher DHEAS/FAI ratio levels were associated with lower risk of low HDL-C [RR(95%CI); 0.97(0.95-0.98); p < .001] as well as atherogenic dyslipidemia (TG/HDL-C) [RR(95%CI); 0.97(0.94-0.99); p = .035] even after adjustment for BMI in the PCOS group. Androgens, DHEAS and FAI act differently on metabolic parameters. Our results demonstrate that high DHEA-S/FAI ratio levels are associated with a more favorable metabolic profile.

The Effect of Statins on Levels of Dehydroepiandrosterone (DHEA) in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis

BACKGROUND Currently, statins are used to treat polycystic ovary syndrome (PCOS). This systematic review and meta-analysis aimed to investigate the effect of statins on serum or plasma levels of dehydroepiandrosterone (DHEA) in women with PCOS. MATERIAL AND METHODS Databases that were searched included PubMed, Embase, and the Cochrane Library from their inception to August of 2018. Published randomized controlled trials (RCTs) were identified that evaluated the impact of statins on plasma DHEA levels in women with PCOS. The Cochrane risk of bias tool was used to assess the quality of the included RCTs. A random-effects model was used to analyze the pooled results. RESULTS Meta-analysis was performed on data from ten published studies that included 735 patients and showed that statin treatment could significantly reduce plasma DHEA levels when compared with controls (SMD, -0.43; 95% CI, -0.81-0.06; p=0.02; I²=82%). Statins were significantly more effective than placebo in reducing the levels of DHEAs. Subgroup analysis based on statin type showed that atorvastatin significantly reduced DHEA levels (SMD, -0.63; 95% CI, -1.20 - -0.05; p=0.03; I²=38%) but simvastatin did not significantly reduce DHEA levels (SMD: -0.14; 95% CI, -0.49-0.28; p=0.43; I²=77%). Subgroup analysis based on duration of treatment showed no significant difference between 12 weeks of statin treatment (SMD, -0.61; 95% CI, -1.23-0.02; p=0.06; I²=85%) and 24 weeks (SMD, -0.34; 95% CI -0.95-0.28; p=0.29; I²=83%). CONCLUSIONS Meta-analysis showed that statins significantly reduced the levels of DHEA when compared with placebo in patients with PCOS.

Heterogenous origins of hyperandrogenism in the polycystic ovary syndrome in relation to body mass index and insulin resistance

BACKGROUND

Insulin resistance and obesity are not universal features of polycystic ovary syndrome (PCOS). We planned to assess the differences between patients with nonobese /insulin-sensitive phenotype vs. obese/ insulin-resistant phenotype in terms of the potential mechanisms underlying their hyperandrogenism.

MATERIALS AND METHODS

A total of 52 women satisfying Androgen Excess Society (AES) criteria were included. Hormonal and metabolic profile including prolactin, dehydroepiandrosterone sulfate (DHEAS), free testosterone, sex hormone binding globulin (SHBG), fasting plasma glucose and insulin were measured in follicular phase.

RESULTS

DHEAS was found to be higher in the nonobese patients as compared to the obese (p = 0.01). There was also a strong trend for a higher DHEAS among patients with lower insulin resistance by homeostatic model assessment (HOMA-IR< 2.3) (p = .06).While the total testosterone (p = .044) and SHBG (p = .007) were found to be lower in the more insulin-resistant group (HOMA-IR ≥ 2.3), the free testosterone levels were similar. However, the percentage of free testosterone was higher in the more insulin-resistant group (p = .005).

CONCLUSIONS

The hyperandrogenic state in PCOS appears to have heterogenous origins. Nonobese patients with PCOS have adrenal hyperandrogenism as the underlying mechanism while their obese/ insulin-resistant counterparts have low SHBG and hence an increased fraction of free testosterone.

Can the source of hyperandrogenism in adolescents with polycystic ovary syndrome predict metabolic phenotype?

In this study, we demonstrated an association between adrenal hyperandrogenism, as determined by dehydroepiandrostenedione-to-free testosterone (DHEA-S/FT) ratio, and metabolic phenotype in obese and lean adolescents with polycystic ovary syndrome (PCOS). We compared 64 overweight/obese adolescents with PCOS (PCOS-O) with 18 lean (PCOS-L) adolescents. We analyzed the association between DHEA-S/FT ratios and metabolic parameters. Patients in the PCOS-O group were younger (median [interquartile range]) than those in the PCOS-L group (15 [15-17] vs. 16 [16-17] years; p = .04). The median DHEA-S/FT ratio and total testosterone concentrations did not differ. However, androstenedione concentrations were higher in the PCOS-L group (p = .02) and free testosterone levels lower in the PCOS-L group compared with the PCOS-O group (p = .02). Insulin resistance was present in 30 of 64 (46.9%) adolescents with PCOS-O compared with 1 of 18 (5.6%) with PCOS-L (p = .001). A significant negative correlation between DHEA-S/FT ratios and insulin concentrations in PCOS-O (p = .03) and PCOS-L (p = .04) groups was noted. In the PCOS-O group, the DHEA-S/FT ratio was negatively associated with serum triglyceride (p = .03) and total cholesterol concentrations (p = .02). We conclude that in adolescents with PCOS, a higher ratio of adrenal to ovarian androgens, signified by DHEA-S/FT, may be associated with a more favorable metabolic phenotype.

High salivary testosterone-to-androstenedione ratio and adverse metabolic phenotypes in women with polycystic ovary syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS) is characterized by a combination of hormonal and metabolic disturbances, such as insulin resistance, glucose intolerance, anovulation and hyperandrogenism. Clinical phenotypes of PCOS show different patterns of steroid hormones that have been investigated to some extent. This study aimed to establish a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the quantification of salivary testosterone and androstenedione and to describe the salivary testosterone-to-androstenedione (T/A4) ratio as a new tool for the assessment of hyperandrogenism and metabolic health.

MATERIAL AND METHODS

Saliva and serum samples of 274 patients with PCOS and 51 healthy women were used for the quantification of steroid hormones. A comprehensive clinical and metabolic assessment was performed. Salivary testosterone and androstenedione were measured via LC-MS/MS. The salivary T/A4 ratio was calculated and correlated with hormones and metabolic parameters.

RESULTS

Salivary testosterone (P < 0·001), androstenedione (P < 0·001) and the salivary T/A4 ratio (P < 0·001) were significantly higher in patients with patients compared to healthy women. In patients with PCOS, a high salivary T/A4 ratio was associated with an adverse metabolic phenotype, that is glucose intolerance (P = 0·019), insulin resistance (P < 0·001), metabolic syndrome (P < 0·001), obesity (P < 0·001) and oligo-/anovulation (P = 0·001). Significant correlations of the salivary T/A4 ratio with adverse metabolic parameters were found.

CONCLUSION

Quantification of salivary androgens provides an attractive alternative to serum analysis and helps in characterizing metabolic health in women with PCOS. Our data show a strong link between a high salivary T/A4 ratio and an adverse metabolic phenotype in patients with PCOS.

Insulin sensitivity and its relation to hormones in adolescent boys and girls

BACKGROUND AND AIMS

A subset of obese individuals lacks cardiometabolic impairment. We aimed to analyze hormonal profiles of insulin-sensitive obese (ISO) and insulin-resistant obese (IRO) adolescents and determine hormonal predictors of homeostasis model of insulin resistance (HOMA-IR).

MATERIALS AND METHODS

A threshold of 3.16 of HOMA-IR was used to classify ISO (<3.16) IRO (≥3.16). In 702 individuals aged 13-18years (55.8% girls) anthropometric and laboratory [blood glucose, insulin, thyrotropin (TSH), free thyroxine (fT4), free triiodothyronine (fT3), sex hormone-binding globulin (SHBG), steroid hormones, luteinizing hormone, follicle stimulating hormone, prolactin, ghrelin, glucose-dependent insulinotropic polypeptide, glucagon-like-peptide 1glucagon, leptin, resistin, visfatin, leptin, adiponectin and adipsin] assessments were performed. Orthogonal projections to latent structures and Mann-Whitney tests with Bonferroni correction were applied for statistical analysis.

RESULTS

52.6% girls and 42.9% boys were insulin sensitive. In the predictive model of HOMA-IR thyroid function tests, adiponectin, ghrelin and leptin concentrations played an important role in both genders. Prolactin, testosterone and glucagon contributed to the model only in boys, while progesterone and dehydroepiandrosterone sulfate levels only in girls. After Bonferroni correction levels of leptin, adiponectin, leptin/adiponectin ratio, SHBG and fT4/TSH ratio in both genders, testosterone and glucagon levels in boys and levels of TSH and fT3 in girls were related to insulin sensitivity.

CONCLUSION

Metabolic health defined by HOMA-IR is partly predicted by various hormones. Some of them are gender specific. Free T4/TSH and leptin/adiponectin ratios are related to insulin sensitivity in both genders.

Metabolic syndrome and metabolic risk profile according to polycystic ovary syndrome phenotype

AIM

It is unknown which phenotype of polycystic ovary syndrome (PCOS) has a greater metabolic risk and how to detect this risk. The aim of this study was therefore to compare the incidence of metabolic syndrome (MetS) and metabolic risk profile (MRP) for different phenotypes.

METHODS

A total of 100 consecutive newly diagnosed PCOS women in a tertiary referral hospital were recruited. Patients were classified into four phenotypes according to the Rotterdam criteria, on the presence of at least two of the three criteria hyperandrogenism (H), oligo/anovulation (O) and PCO appearance (P): phenotype A, H + O + P; phenotype B, H + O; phenotype C, H + P; phenotype D, O + P. Prevalence of MetS and MRP were compared among the four groups.

RESULTS

Based on Natural Cholesterol Education Program Adult Treatment Panel III diagnostic criteria, MetS prevalence was higher in phenotypes A and B (29.6% and 34.5%) compared with the other phenotypes (10.0% and 8.3%; P < 0.001). Although the prevalence of obesity was similar, the number of patients with homeostatic model assessment insulin resistance index (HOMA-IR) >3.8 was significantly higher in androgenic PCOS phenotypes. After logistic regression analysis, visceral adiposity index (VAI) was the only independent predictor of MetS in PCOS (P = 0.002). VAI was also significantly higher in phenotype B, when compared with the others (P < 0.01).

CONCLUSION

Phenotypes A and B had the highest risk of MetS among the four phenotypes, and VAI may be a predictor of metabolic risk in PCOS women.

High DHEAS/free testosterone ratio is related to better metabolic parameters in women with PCOS

AIMS

To demonstrate the effects of DHEAS/free testosterone (DHEAS/FT) ratio on metabolic parameters in women with and without polycystic ovary syndrome (PCOS).

METHODS

The data of 91 women with PCOS and 66 women in the control group were collected retrospectively.

RESULTS

DHEAS/FT of the control group was higher than that of PCOS group (684.93 ± 300.54 to 517.2 ± 300.8, p < 0.001). DHEAS/FT correlated with BMI (r = -0.352, p = 0.001), WHR (r = -0.371, p = 0.0219), LDL (r = -0.227, p = 0.031), HOMA-IR (r = -0.36, p = 0.001) and FAI (r = -0.639, p = 0.001) negatively and with HDL (r = 0.344, p = 0.001) and SHBG (r = 0.646, p = 0.001) positively. In the control group, DHEAS/FT correlated with BMI (r = -0.334, p = 0.007), CRP (r = -0.297, p = 0.016) and FAI (r = -0.399, p = 0.01) negatively.

CONCLUSIONS

High DHEAS/FT ratios are related to a better metabolic phenotype in women with PCOS and low levels can be used to detect women with PCOS that have a higher risk of metabolic problems.

Comparison of the effects of chlormadinone acetate versus drospirenone containing oral contraceptives on metabolic and hormonal parameters in women with PCOS for a period of two-year follow-up

OBJECTIVE

A randomized trial to compare the effects of two oral contraceptive pills containing either chlormadinone acetate or drospirenone as the progestogen, in women with PCOS for a period of two-year follow-up.

METHODS

Group A received ethinyl-estradiol 0.03 mg + drospirenone 3 mg (EE + DRSP; n = 56) and Group B received ethinyl-estradiol 0.03 mg + chlormadinone acetate 2 mg (EE + CMA; n = 50). Clinical, hormonal and biochemical parameters were compared at baseline, 6 months, 12 months and 24 months.

RESULTS

The increase in total cholesterol and hsCRP levels was statistically significantly higher at 6, 12 and 24 months in Group B when compared with Group A. The change in the high-density lipoprotein cholesterol level at the 24 months of treatment was statistically significantly higher in Group A. Group A has a significantly higher reduction in FAI at 6 and 24 months, in FGS at 6, 12 and 24 months and in HOMA-IR index at 12 and 24 months when compared with Group B.

CONCLUSIONS

Drospirenone containing combined oral contraceptive (COC) is found to have more favorable effects on lipid profiles, hsCRP levels, insulin resistance and hyperandrogenism when compared with the CMA containing COC and appears to be more beneficial for the long-term cardiovascular and metabolic aspects of PCOS.

Biochemical hyperandrogenism is associated with metabolic syndrome independently of adiposity and insulin resistance in Romanian polycystic ovary syndrome patients

The aim of the study was to determine whether Romanian polycystic ovary syndrome (PCOS) patients have an increased prevalence of metabolic syndrome (MetS) and to study the involvement of adiposity, insulin resistance and hyperandrogenism in the pathogenesis of MetS in PCOS. A total of 398 PCOS patients and 126 controls were evaluated between January 2006 and December 2012. MetS was defined by National Cholesterol Education Program, Adult Treatment Panel III criteria. Principal component analysis (PCA) was used to analyze the correlations among variables of interest by grouping them in few components, and principal component (PCs) scores were saved and used as independent variables in logistic regression. The prevalence of MetS was higher among patients with PCOS (20.4 %) than in controls (11.1 %, p < 0.05). In PCOS patients, PCA extracted three PCs from the analyzed variables. First PC aggregated variables related to adiposity and insulin resistance, with factor loadings showing strong relationship between these parameters. The second PC included markers of hyperandrogenemia and was best represented by free androgen index (FAI) which correlated strongly and exclusively with this PC. The third component was best represented by hirsutism. Logistic regression analysis revealed that in PCOS patients, the first and the second PCs were independently associated with MetS, whereas the third component was not. Romanian PCOS patients have an increased risk for MetS; adiposity, insulin resistance and hyperandrogenemia, but not hirsutism, are independent predictors of MetS presence. Our data also suggest that insulin resistance is only secondary to increased adiposity and FAI is a good marker of biochemical hyperandrogenism with little influences from the metabolic component.

Symptom patterns and phenotypic subgrouping of women with polycystic ovary syndrome: association between endocrine characteristics and metabolic aberrations

STUDY QUESTION

What are the potential endocrine characteristics related to risk and severity of metabolic disturbances in women with polycystic ovary syndrome (PCOS)?

SUMMARY ANSWER

Women with PCOS could be subtyped into four subgroups according to heterogeneous endocrine characteristics and the major predictive endocrine factors for metabolic aberrations among different subgroups were free androgen index (FAI) and luteinizing hormone (LH) levels.

WHAT IS KNOWN ALREADY

Women diagnosed with PCOS present with highly heterogeneous phenotypes, including endocrine and metabolic aberrations. Different strategies have been proposed to predict the metabolic outcomes but whether the endocrine factors can solely predict the metabolic aberrations is still inconclusive.

STUDY DESIGN, SIZE, DURATION

A cross-sectional study including 460 patients recruited from a reproductive endocrinology outpatient clinic of a tertiary medical center.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Patients with PCOS diagnosed according to the 2003 Rotterdam criteria were studied. Clinical history recorded by questionnaires, anthropometric measurements, biochemistry tests after an overnight fast, and pelvic ultrasonography were collected from all patients.

MAIN RESULTS AND THE ROLE OF CHANCE

Applying a matrix visualization and clustering approach (generalized association plots), the patients were divided into four distinct clusters according to the correlation with four endocrine parameters. Each cluster exhibited specific endocrine characteristics and the prevalence of metabolic syndrome (MS) was significantly different among the clusters (P < 0.0001). The high-risk subgroups for MS included one cluster with higher mean (SD) FAI (39.6 (14.7) in cluster 4), and another one with lower mean (SD) FAI (10 (6.4) in cluster 2). A common endocrine characteristic of these two metabolically unhealthy clusters was relatively lower LH level. Contrarily, higher LH level (≧15 mIU/ml) during early follicular phase was found to be the best indicator of the metabolically healthy cluster (cluster 1). While high FAI level did correlate with more severe metabolic aberrations, high LH level showed better predictive value than low FAI level to become a metabolically healthy cluster.

LIMITATIONS, REASONS FOR CAUTION

The results should be applied to other populations with caution due to racial or environmental differences. Another limitation is a lack of normal non-PCOS control in our study.

WIDER IMPLICATIONS OF THE FINDINGS

Stratifying women with PCOS into meaningful subtypes could provide a better understanding of related risk factors and potentially enable the design and delivery of more effective screening and treatment intervention.

STUDY FUNDING/COMPETING INTERESTS

This study was supported by grant NSC 100-2314-B002-027-MY3 from the National Science Council of Taiwan.

TRIAL REGISTRATION NUMBER

Nil.

The Relationship of Metabolic Syndrome and Body Composition in Children with Premature Adrenarche: Is It Age Related?

BACKGROUND

Studies that evaluate both body composition and metabolic syndrome (MeS) risk in prepubertal children with premature adrenarche (PA) are limited.

METHODS

Fifty-eight prepubertal children (aged 5-9 years, 33 female and 25 male), 30 with PA and 28 controls, were evaluated for the presence of MeS as defined by age-modified National Cholesterol Education Program Adult Treatment Panel III criteria. A subset had dual-energy X-ray absorptiometry and bone markers (n = 23/58) to evaluate the effect of hyperandrogenism on metabolic abnormalities and body composition.

RESULTS

There was no difference in the prevalence of MeS between PA and controls (p = 0.138). Children with MeS were obese with an increased waist circumference (WC) and decreased high-density lipoprotein levels. Androgens were not associated with having more than one criterion for MeS (p = 0.08) but were associated with triglycerides and WC (p = 0.029 and p = 0.041, respectively). Lean mass was greater in PA subjects (p = 0.039), and androgens correlated with bone mineral density (p = 0.029) and total body fat (p = 0.008). Subjects with a higher percent of body fat were more likely to have more than one MeS risk factor (p = 0.005).

CONCLUSIONS

MeS was seen only in obese subjects whether or not they had PA. Thus, it appears that obesity drives metabolic risk in the prepubertal population rather than PA. Our findings are important in determining how the prepubertal patient with PA should be evaluated for metabolic risk.

Visceral adiposity index and DHEAS are useful markers of diabetes risk in women with polycystic ovary syndrome

OBJECTIVE

On the basis of the known diabetes risk in polycystic ovary syndrome (PCOS), recent guidelines of the Endocrine Society recommend the use of an oral glucose tolerance test (OGTT) to screen for impaired glucose tolerance (IGT) and type 2 diabetes (T2DM) in all women with PCOS. However, given the high prevalence of PCOS, OGTT would have a high cost-benefit ratio. In this study, we identified, through a receiver operating characteristic analysis, simple predictive markers of the composite endpoint (impaired fasting glucose (IFG) or IGT or IFG+IGT or T2DM) in women with PCOS according to the Rotterdam criteria.

DESIGN

We conducted a cross-sectional study of 241 women with PCOS in a university hospital setting.

METHODS

Clinical, anthropometric, and metabolic (including OGTT) parameters were evaluated. The homeostasis model assessment of insulin resistance (HOMA2-IR), the Matsuda index of insulin sensitivity, and the oral dispositional index and visceral adiposity index (VAI) were determined.

RESULTS

Out of 241 women included in this study, 28 (11.6%) had an IFG, 13 (5.4%) had IGT, four (1.7%) had IFG+IGT, and four (1.7%) had T2DM. Among the anthropometric variables examined, the VAI had a significantly higher C-statistic compared with BMI (0.760 (95% CI: 0.70-0.81) vs 0.613 (95% CI: 0.54-0.67); P=0.014) and waist circumference (0.760 (95% CI: 0.70-0.81) vs 0.619 (95% CI: 0.55-0.68); P=0.028). Among all the hormonal and metabolic serum variables examined, DHEAS showed the highest C-statistic (0.720 (95% CI: 0.65-0.77); P<0.001).

CONCLUSIONS

In addition to fasting glucose, the VAI and DHEAS may be considered useful tools for prescreening in all women with PCOS without the classical risk factors for diabetes.

Hyperandrogenemia in polycystic ovary syndrome: exploration of the role of free testosterone and androstenedione in metabolic phenotype

Objective

To evaluate the association between androstenedione, testosterone, and free testosterone and metabolic disturbances in polycystic ovary syndrome.

Methods

We analyzed the association between androstenedione, testosterone, and free testosterone and metabolic parameters in a cross-sectional study including 706 polycystic ovary syndrome and 140 BMI-matched healthy women. Polycystic ovary syndrome women were categorized into 4 groups: normal androstenedione and normal free testosterone (NA/NFT), elevated androstenedione and normal free testosterone (HA/NFT), normal androstenedione and elevated free testosterone (NA/HFT), elevated androstenedione and free testosterone (HA/HFT).

Results

Polycystic ovary syndrome women with elevated free testosterone levels (HA/HFT and NA/HFT) have an adverse metabolic profile including 2 h glucose, HbA1c, fasting and 2 h insulin, area under the insulin response curve, insulin resistance, insulin sensitivity index (Matsuda), triglycerides, total and high density lipoprotein cholesterol levels compared to NA/NFT (p<0.05 for all age- and BMI-adjusted analyses). In binary logistic regression analysis adjusted for age and BMI, odds ratio for insulin resistance was 2.78 (1.34–5.75, p = 0.006) for polycystic ovary syndrome women with HA/HFT compared to NA/NFT. We found no significantly increased risk of metabolic disorders in polycystic ovary syndrome women with HA/NFT. In multiple linear regression analyses (age- and BMI-adjusted), we found a significant negative association between androstenedione/free testosterone-ratio and area under the insulin response curve, insulin resistance, and total cholesterol/high density lipoprotein cholesterol-ratio and a positive association with Matsuda-index, and high density lipoprotein cholesterol (p<0.05 for all).

Conclusions

Polycystic ovary syndrome women with elevated free testosterone levels but not with isolated androstenedione elevation have an adverse metabolic phenotype. Further, a higher androstenedione/free testosterone-ratio was independently associated with a beneficial metabolic profile.

Adrenocortical steroid response to ACTH in different phenotypes of non-obese polycystic ovary syndrome

Background

Adrenal androgen excess is frequently observed in PCOS. The aim of the study was to determine whether adrenal gland function varies among PCOS phenotypes, women with hyperandrogenism (H) only and healthy women.

Methods

The study included 119 non-obese patients with PCOS (age: 22.2 ± 4.1y, BMI:22.5 ± 3.1 kg/m²), 24 women with H only and 39 age and BMI- matched controls. Among women with PCOS, 50 had H, oligo-anovulation (O), and polycystic ovaries (P) (PHO), 32 had O and H (OH), 23 had P and H (PH), and 14 had P and O (PO). Total testosterone (T), SHBG and DHEAS levels at basal and serum 17-hydroxprogesterone (17-OHP), androstenedione (A4), DHEA and cortisol levels after ACTH stimulation were measured.

Results

T, FAI and DHEAS, and basal and AUC values for 17-OHP and A4 were significantly and similarly higher in PCOS and H groups than controls (p < 0.05 for all) whereas three groups did not differ for basal or AUC values of DHEA and cortisol. Three hyperandrogenic subphenotypes (PHO, OH, and PH) compared to non-hyperandrogenic subphenotype (PO) had significantly and similarly higher T, FAI, DHEAS and AUC values for 17-OHP, A4 and DHEA (p < 0.05). All subphenotypes had similar basal and AUC values for cortisol.

Conclusion

PCOS patients and women with H only have similar and higher basal and stimulated adrenal androgen levels than controls. All three hyperandrogenic subphenotypes of PCOS exhibit similar and higher basal and stimulated adrenal androgen secretion patterns compared to non-hyperandrogenic subphenotype.