Cardiovascular disease risk characteristics of the main polycystic ovary syndrome phenotypes

Cardiovascular disease risk in women with hyperandrogenism, oligomenorrhea/menstrual irregularity or polycystic ovaries (components of polycystic ovary syndrome): a systematic review and meta-analysis

Aims

Prior meta-analyses indicate polycystic ovary syndrome (PCOS) is associated with cardiovascular diseases (CVDs), but have high statistical heterogeneity, likely because PCOS is a heterogenous syndrome diagnosed by having any two of the three components: hyperandrogenism, oligomenorrhea/menstrual irregularity or polycystic ovaries. Several studies report higher risk of CVDs from individual PCOS components, but a comprehensive assessment of how each component contributes to CVD risk is lacking. This study aims to assess CVD risk for women with one of the PCOS components.

Methods and results

A systematic review and meta-analysis of observational studies was conducted. PubMed, Scopus, and Web of Science were searched without restrictions in July 2022. Studies meeting inclusion criteria examined the association between PCOS components and risk of a CVD. Two reviewers independently assessed abstracts and full-text articles, and extracted data from eligible studies. Where appropriate, relative risk (RR) and 95% confidence interval (CI) were estimated by random-effects meta-analysis. Statistical heterogeneity was assessed using the I² statistic. Twenty-three studies, including 346 486 women, were identified. Oligo-amenorrhea/menstrual irregularity was associated with overall CVD (RR = 1.29, 95%CI = 1.09-1.53), coronary heart disease (CHD) (RR = 1.22, 95%CI = 1.06-1.41), and myocardial infarction (MI) (RR = 1.37, 95%CI = 1.01-1.88) but not cerebrovascular disease. These results were broadly consistent even after further adjustment for obesity. There was mixed evidence for the role of hyperandrogenism in CVDs. No studies examined polycystic ovaries as an independent exposure for CVD risk.

Conclusion

Oligo-amenorrhea/menstrual irregularity is associated with greater risk of overall CVD, CHD, and MI. More research is needed to assess the risks associated with hyperandrogenism or polycystic ovaries.

Risk factors for insulin resistance related to polycystic ovarian syndrome in Iranian population

Polycystic ovary syndrome (PCOS) has significant metabolic sequelae linked to insulin resistance. This study aimed to compare clinical, metabolic, and hormonal characteristics of PCOS women with and without insulin resistance. The second aim was to compare the clinico-biochemical profiles of the various PCOS phenotypes. In this cross-sectional secondary analysis, we combined the baseline data from two separate randomized controlled trials (RCTs) in women diagnosed with PCOS. PCOS patients were categorized into the four Rotterdam PCOS phenotypes according to the presence of at least two criteria of oligomenorrhea/anovulation (O), hyperandrogenism (H), and polycystic ovary morphology (P): O-H-P, H-P, O-H, and O-P. Participants were categorized into two groups according to the homeostasis model assessment index of insulin resistance (HOMA-IR) levels: < 3.46, and ≥ 3.46. The correlation between the HOMA-IR and biometric, clinical, and biochemical variables was assessed in normal weight (BMI < 25) and overweight/obese (BMI ≥ 25) PCOS women. Then, the association between PCOS phenotypes and insulin resistance was investigated using logistic regression analysis. A total of 125 PCOS patients aged 18-40 years were included in the present study. Based on our results, the HOMA-IR index was positively correlated with diastolic blood pressure, free androgen index, and triglycerides levels; and negatively correlated with sex hormone-binding globulin in overweight/obese PCOS women. In addition, the HOMA-IR index was found to be positively correlated with alanine transaminase and negatively correlated with diastolic blood pressure in normal weight PCOS women. Moreover, individuals with O-H-P phenotype (odds ratio [OR] 2.52, 95% confidence interval [CI] 1.02-6.24) had about two-fold increased risk of insulin resistance. In conclusion, the full-blown PCOS (O-H-P) phenotype has an increased risk of insulin resistance. Accordingly, phenotype division may help physicians to predict adverse metabolic outcomes.

Metabolic syndrome and its components in different phenotypes of polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy affecting reproductive-age women. Important factors in its pathogenesis are hyperinsulinaemia and insulin resistance, which lead to higher risk of metabolic syndrome (MetS) and its complications. With the implementation of the Rotterdam diagnostic criteria in 2003, the group of PCOS patients became highly heterogeneous, with varying metabolic risk reported for different phenotypes of the syndrome. The aim of the present review is to assess the prevalence and severity of MetS and its components in patients with the four phenotypes of PCOS. A comprehensive search of Pubmed database was performed to identify studies comparing metabolic characteristics between PCOS patients with different phenotypes of the syndrome. The results of 60 studies published between 2004 and 2020 were retrieved and analysed. More adverse metabolic profile was observed in PCOS patients with hyperandrogenic phenotypes in comparison to normoandrogenic patients, as well as in classic phenotypes, defined by National Institutes of Health criteria, in comparison to newer phenotypes introduced by the Rotterdam criteria. In the majority of observations, normoandrogenic PCOS patients did not differ significantly from controls in terms of metabolic characteristics, although some East Asian studies reported more adverse metabolic profile in normoandrogenic phenotype in comparison to healthy women. In conclusion, metabolic abnormalities in PCOS seem to be associated with joint effects of hyperandrogenism, insulin resistance and visceral obesity. The differences observed between the four phenotypes of PCOS underline the need for individualised diagnostic and therapeutic approach.

Serum sclerostin level and its relation to subclinical atherosclerosis in the polycystic ovary syndrome phenotypes: A prospective controlled study

Objective

We aim to study the relationship between atherosclerosis and serum sclerostin levels in different phenotypes of polycystic ovary syndrome (PCOS).

Materials and Methods

A total of 134 women with PCOS and 33 age-matched controls participated in this study. Women with PCOS were further divided into subgroups based on their PCOS phenotypes: phenotype A (n=35), phenotype B (n=33), phenotype C (n=31), and phenotype D (n=35). Metabolic parameters, hormonal parameters, carotid intima-media thickness (CIMT), and sclerostin levels were compared among the PCOS phenotypes.

Results

Statistically significant differences occurred among groups regarding follicle-stimulating hormone, luteinizing hormone, estradiol, total cholesterol, low-density lipoprotein, Ferriman-Gallwey score, total testosterone, and free androgen index. The mean CIMT was statistically higher in all PCOS phenotypes than in controls. In subgroup comparison, phenotypes A and B had a higher body mass index (BMI) adjusted CIMT than other phenotypes, respectively (p=0.005). Serum sclerostin levels were higher in PCOS patients than in controls. A concentration of ≥6.297 ng/mL showed a sensitivity of 56% and a specificity of 69.7% to predict PCOS. The BMI-adjusted sclerostin level was significantly higher in phenotype C (20.3±0.7 ng/mL) than in other phenotypes.

Conclusion

Patients with phenotypes A and B seem to have an increased risk for atherosclerosis. Although sclerostin was higher in PCOS patients, we could not demonstrate the relation between sclerostin and atherosclerosis in different PCOS phenotypes.

Metabolic syndrome and the risk of cardiovascular complications in young patients with different phenotypes of polycystic ovary syndrome

PURPOSE

Insulin resistance is an important factor in the pathogenesis of polycystic ovary syndrome (PCOS), which is associated with higher risk of metabolic syndrome (MetS) and cardiovascular complications. Early atherosclerotic lesions may be diagnosed by ultrasonographic parameters: brachial artery flow-mediated dilation after reactive hyperaemia (FMD) and intima-media thickness of common carotid artery (IMT). The aim of the study was to assess the relation of IMT and FMD with clinical and laboratory parameters reflecting metabolic status in young women with different PCOS phenotypes.

METHODS

The study included 154 PCOS patients diagnosed with the Rotterdam criteria, divided into four phenotypes, and 113 healthy women. Laboratory analyses, transvaginal ultrasound, and IMT and FMD measurements were conducted. MetS was diagnosed with International Diabetes Federation/American Heart Association (IDF/AHA) consensus criteria.

RESULTS

MetS was more prevalent in PCOS patients than healthy women (14.29 vs. 5.31%; p = 0.019), with highest prevalence in phenotypes I and II (p = 0.039). IMT and FMD did not differ between PCOS patients and the controls, nor between the PCOS phenotypes. PCOS patients with MetS presented lower FMD than other PCOS patients (p = 0.018). In women with PCOS, FMD correlated with glucose and insulin concentrations in the fasting state (R = -0.33, p = 0.002; R = -0.23, p = 0.026) and at 2 h of OGTT (R = -0.29, p = 0.006; R = -0.26, p = 0.014). In patients with phenotype I, correlations were found between IMT and BMI (R = 0.45, p = 0.006) and between FMD and fasting glucose concentrations (R = -0.46, p = 0.011).

CONCLUSIONS

Metabolic disturbances and the diagnosis of MetS in patients with PCOS, especially in hyperandrogenic phenotypes, might be associated with alterations in IMT and FMD.

Ovarian response to controlled ovarian stimulation in women with different polycystic ovary syndrome phenotypes

Controlled ovarian stimulation (COH) in PCOS is a challenge for fertility expert both ovarian hyperstimulation syndrome (OHSS) and oocytes immaturity are the two major complication. Ovarian response to COH vary widely among POCS patients and while some patients are more likely to show resistance to COH, other experienced an exaggerated response. The aim of our study is to investigate a possible correlation between PCOS phenotypes and the variety of ovarian response to COH and ART outcomes in patients with different PCOS phenotypes. We retrospectively analyzed a total of 71 cycles performed in 44 PCOS infertile patients attending ART at Centre of Infertility and Assisted Reproduction of Pisa University between January 2013 and January 2016. Patientsundergoing IVF with GnRH-antagonist protocol and 150-225 UI/days of recombinant FSH; triggering was carried out using 250 mg of recombinant hCG or a GnRH analogous on the basis of the risk to OHSS. We observed that Phenotype B had a tendency to have a greater doses of gonadotropins used respect to all phenotypes. Phenotype A group showed a greater serum estrogen levels compared to all phenotypes groups, a greater number of follicles of diameter between 8-12 mm found by ultrasound on the day of triggering and a greater mean number of freeze embryo. Additionally serum AMH and antral follicles count (AFC) follow the same trend in the different phenotypes ad they were significantly higher in phenotype A and in phenotype D. In conclusion this study shows that the features of PCOS phenotypes reflect the variety of ovarian response to COH as well as the risks to develop OHSS. Serum AMH and AFC are related to the degree of ovulatory dysfunction making these 'added values' in identifying the different PCOS phenotypes. Phenotype A seems to be the phenotype with the higher risk to develop OHSS and the use of GnRH as a trigger seems to improve oocyte quality. To classify PCOS phenotype at diagnosis might help clinicians to identify patients at greater risk of OHSS, customize therapy and subsequently plan the trigger agent.

Clinical and metabolic characteristics of Turkish adolescents with polycystic ovary syndrome

The aim of this study was to investigate the clinical, endocrine, metabolic features and prevalence of metabolic syndrome (MBS) in Turkish adolescents with polycystic ovary syndrome (PCOS) and the differences in metabolic parameters between adolescent PCOS with or without the presence of polycystic ovaries (PCO) on ultrasound. Subjects (n = 77) were classified into two groups: oligomenorrhea (O) and clinical and/or biochemical hyperandrogenism (HA) (n = 38), without PCO and O + HA with PCO (n = 39). The control group consisted of 33 age-matched adolescents. Adolescents with PCOS had a significantly higher body mass index (BMI), waist circumference and levels of LH, LH/FSH ratio, triglyceride, insulin, HOMA-IR, free androgen index and lower levels of SHBG and FSH. After adjustment for BMI, LH, LH: FSH ratio remained significantly higher. Adolescents with PCOS had a higher prevalence of MBS. No significant differences in lipid profiles, insulin levels and insulin sensitivity in both the PCOS groups were seen. HDL-C levels were lower in the O + HA + PCO group compared to the controls. BMI may be the major contributing factor in the development of metabolic abnormalities in adolescents with PCOS. Impact statement Many studies have investigated the effect of PCOS on metabolic and cardiovascular risks. It is thought that PCOS increases metabolic and cardiovascular risks. Increase in metabolic and cardiovascular risks associated with PCOS may be handled with early diagnosis and early intervention of PCOS in adolescents, although the diagnosis of PCOS in adolescents could be hard because of the features of PCOS overlapping normal pubertal physiological events. However, early identification of adolescent girls with PCOS may provide opportunities for prevention of well-known health risks associated with this syndrome and reduction of long-term health consequences of PCOS by reducing androgen levels and improving metabolic profile. Our results also support that BMI may be the major contributing factor in the development of metabolic abnormalities in adolescents with PCOS.

MECHANISMS IN ENDOCRINOLOGY: The sexually dimorphic role of androgens in human metabolic disease

Female androgen excess and male androgen deficiency manifest with an overlapping adverse metabolic phenotype, including abdominal obesity, insulin resistance, type 2 diabetes mellitus, non-alcoholic fatty liver disease and an increased risk of cardiovascular disease. Here, we review the impact of androgens on metabolic target tissues in an attempt to unravel the complex mechanistic links with metabolic dysfunction; we also evaluate clinical studies examining the associations between metabolic disease and disorders of androgen metabolism in men and women. We conceptualise that an equilibrium between androgen effects on adipose tissue and skeletal muscle underpins the metabolic phenotype observed in female androgen excess and male androgen deficiency. Androgens induce adipose tissue dysfunction, with effects on lipid metabolism, insulin resistance and fat mass expansion, while anabolic effects on skeletal muscle may confer metabolic benefits. We hypothesise that serum androgen concentrations observed in female androgen excess and male hypogonadism are metabolically disadvantageous, promoting adipose and liver lipid accumulation, central fat mass expansion and insulin resistance.

Gestational Diabetes Mellitus and Metabolic Disorder Among the Different Phenotypes of Polycystic Ovary Syndrome

OBJECTIVES

Polycystic ovary syndrome (PCOS) is a common endocrine disorder related to several metabolic consequences. However, there remains uncertainty regarding the metabolic features of various phenotypes. The aim of this study was to explore the relationship between the prevalence of gestational diabetes mellitus (GDM) and metabolic disorders among the four different phenotypes of PCOS.

METHODS

A cross-sectional study was performed in Royan Institute including 208 pregnant women with a history of infertility and PCOS. Using the diagnostic criteria of the American Diabetes Association (ADA), pregnant women with a documented diagnoses of PCOS were further categorized into four different phenotypes (A, B, C, and D) as defined by the Rotterdam criteria.

RESULTS

The prevalence of GDM failed to demonstrate a significant relationship among the four phenotypes of PCOS. The mean levels of fasting blood sugar, plasma glucose concentrations at three hours (following the 100 g oral glucose tolerance test) and triglyceride levels were significantly higher in phenotype B compared to the remaining phenotypes (p < 0.050). There was a statistically significant difference between the mean free testosterone level and phenotypes A and C groups (1.8±1.6 vs. 1.1±1.0, p = 0.003).

CONCLUSIONS

Women with a known diagnosis of PCOS who exhibited oligo/anovulation and hyperandrogenism demonstrated an increase of metabolic disorders. These results suggest that metabolic screening, before conception or in the early stages of pregnancy, can be beneficial particularly in women with PCOS phenotypes A and B. Early screening and identification may justify enhanced maternal fetal surveillance to improve maternal and fetal morbidity among women affected with PCOS.

Calcitriol attenuates cardiac remodeling and dysfunction in a murine model of polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a complex reproductive and metabolic disorder affecting 10 % of reproductive-aged women, and is well associated with an increased prevalence of cardiovascular risk factors. However, there are few data concerning the direct association of PCOS with cardiac pathologies. The present study aims to investigate the changes in cardiac structure, function, and cardiomyocyte survival in a PCOS model, and explore the possible effect of calcitriol administration on these changes. PCOS was induced in C57BL/6J female mice by chronic dihydrotestosterone administration, as evidenced by irregular estrous cycles, obesity and dyslipidemia. PCOS mice progressively developed cardiac abnormalities including cardiac hypertrophy, interstitial fibrosis, myocardial apoptosis, and cardiac dysfunction. Conversely, concomitant administration of calcitriol significantly attenuated cardiac remodeling and cardiomyocyte apoptosis, and improved cardiac function. Molecular analysis revealed that the beneficial effect of calcitriol was associated with normalized autophagy function by increasing phosphorylation levels of AMP-activated protein kinase and inhibiting phosphorylation levels of mammalian target of rapamycin complex. Our findings provide the first evidence for the presence of cardiac remodeling in a PCOS model, and vitamin D supplementation may be a potential therapeutic strategy for the prevention and treatment of PCOS-related cardiac remodeling.

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.

Importance of lipid accumulation product index as a marker of CVD risk in PCOS women

BACKGROUND

The polycystic ovary syndrome (PCOS) is considered the most common endocrine disease during the woman's reproductive life, with prevalence ranging from 5 to 10% of women of reproductive age. There is a paucity of studies regarding the use of the lipid accumulation product (LAP) as a risk marker for the development of cardiovascular disease (CVD).

METHODS

A cross-sectional study was conducted on 78 women aged 18 to 42 years seen at University Hospital of Maranhão, with a diagnosis of polycystic ovary syndrome according to the Rotterdam criteria. The following variables of interest were recorded on a protocol form: sociodemographic and behavioral data, body mass index, waist circumference, fasting glucose, total cholesterol, triglycerides, low density lipoprotein cholesterol, high-density lipoprotein cholesterol, and systolic and diastolic blood pressure.

RESULTS

Logistic regression showed that, except for HDL, all cardiovascular risk markers presented a higher chance of being altered when the lipid accumulation product was above the cut off value of 37.9 cm.mmol/L.

CONCLUSION

The lipid accumulation product seems to be sufficient to indicate a risk of cardiovascular diseases in women with polycystic ovary syndrome.

Psoriasis and polycystic ovary syndrome: a new link in different phenotypes

OBJECTIVE

Women affected by PCOS and psoriasis are more likely to have insulin-resistance, hyperinsulinemia, reduced HDL cholesterol levels and a more severe degree of skin disease than those with psoriasis alone. The mechanism underlying this association between PCOS and psoriasis is currently unknown. The aim of the present study was to evaluate the features of psoriasis and the psoriasis severity scores in the different PCOS phenotypes and in age and body mass index (BMI)-matched psoriatic control patients.

STUDY DESIGN

A cross-sectional study was performed on 150 psoriatic patients: 94 PCOS and 56 age- and BMI-matched controls. PCOS patients were diagnosed and divided into four phenotypes according to Rotterdam criteria: A - patients with complete phenotype with hyperandrogenism (H) plus oligoamenorrhea (O) plus polycystic ovary (PCO) on ultrasound examination; B - patients with H plus O (without PCO); C - patients with H plus PCO (ovulatory phenotype); D - patients with O plus PCO (without H). The patient's Psoriasis Area and Severity Index (PASI) as well as the Physician's Global Assessment (PGA) were calculated. A PASI score ≥10 was correlated with common indicator of severe disease. A PGA ≥4 was considered as a condition of moderate to severe disease.

RESULTS

Among the four phenotypes investigated, the group with complete phenotype (H plus O plus PCO) had a higher prevalence of patients with patient's PASI ≥10 compared to controls (Odds Ratio (OR) 4.71, 95% confidence intervals (CI) 1.59-13.95). The group with O plus PCO had a higher prevalence of patients with PGA ≥4 compared to controls (OR 26.79, 95% CI 3.40-211.02) while the ovulatory group had a lower prevalence of patients with PGA ≥4 (OR 0.06, 95% CI 0.01-0.51).

CONCLUSIONS

The ovulatory phenotype displays a milder psoriasis form than other phenotypes while the phenotypes with oligoamenorrhea presented higher severity scores of disease than other phenotypes and control group.

Polycystic ovary syndrome--phenotypes and diagnosis

Polycystic ovary syndrome (PCOS) is a heterogeneous spectrum of symptoms lasting throughout the lifecycle. The syndrome combines reproductive as well as metabolic aberrations associated with increased cardiovascular risk. The presence of three different definitions for the diagnosis of PCOS reflects the phenotypic diversity of the syndrome. The clinical manifestations and the sequelae of PCOS vary throughout the lifecycle, partly depending on environmental factors which may affect the integral components of the syndrome, namely ovarian steroidogenesis, ovulation and insulin resistance. As the patient grows older, particularly in the postmenopausal period, the cardiovascular risk profile may translate into increased rates of cardiovascular morbidity.

What do we know about metabolic syndrome in adolescents with PCOS?

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy of reproductive-aged women that manifests itself with a variety of features. For this reason, three different diagnostic criteria have been introduced. For adults, the National Institutes of Health Conference (NIH) criteria, which consists of hyperandrogenism and oligo-anovulation, is the most widely used. Symptoms of PCOS usually start with puberty and may overlap with normal pubertal development. Hormonal fluctuations during this period make the diagnosis of PCOS more difficult. Until now, there is no validated diagnostic criteria for PCOS in adolescents. Although menstrual disorders and cosmetic problems are the most common complaints of adolescents with PCOS, patients should also be evaluated for the potential risk for insulin resistance, obesity, subclinical atherosclerosis, diabetes, metabolic syndrome and cardiovascular disease. Obesity is the most prominent predictor of metabolic syndrome. As the incidence of obesity is increasing both in childhood and adolescence, governments will be faced with a social and economic burden in the future. Adolescents with PCOS are more obese than normal adolescents and have an increased risk of metabolic syndrome. It is suggested that abdominal adiposity increases the risk of metabolic syndrome by inducing various cytokine secretions. Although there is no consensus on metabolic syndrome criteria in the adolescent period, International Diabetes Federation (IDF) criteria may be used for children older than 10 years. Various clinical and metabolic markers are investigated for the prediction of metabolic syndrome in the literature. Waist circumference, serum triglycerides and androgens are the suspected predictors of metabolic syndrome. The prevention of abdominal adiposity and the early diagnosis of PCOS in adolescence should be the main target for the prevention of metabolic syndrome. Clinicians should investigate adolescents with PCOS for metabolic and cardiovascular risks and take preventive action. A Mediterranean diet, low in fat and high in fruits and vegetables, along with moderate-intensity exercise and smoking cessation are the recommended interventions for especially obese adolescents with PCOS. Metformin may be the treatment of choice when lifestyle modifications are ineffective.

The clinical significance and primary determinants of hirsutism in patients with polycystic ovary syndrome

OBJECTIVE

Hirsutism is frequently present in patients with polycystic ovary syndrome (PCOS) and is a major sign of hyperandrogenism. However, other disorders frequently present in PCOS, particularly abdominal obesity and insulin resistance (IR), have also been implicated in the development of hirsutism in this population but relevant data are limited. We aimed to define the determinants of the presence of hirsutism in PCOS.

DESIGN

Observational study.

METHODS

We studied 1297 patients with PCOS (age 24.3±5.8 years, BMI 26.8±6.9 kg/m(2)). Hirsutism was defined as a modified Ferriman-Gallwey score ≥8.

RESULTS

Women with hirsutism were younger, had greater BMI, and had higher levels of circulating androgens than women without hirsutism; markers of IR did not differ between the two groups after adjustment for age and BMI. The prevalence of hirsutism progressively declined with age, was lower in normal-weight women than in overweight and obese women, and was comparably prevalent in the hyperandrogenemic phenotypes of PCOS. In binary logistic regression analysis, independent predictors of the presence of hirsutism were younger age, larger waist circumference (W), and higher serum testosterone levels. In stepwise linear regression analysis, the Ferriman-Gallwey score independently correlated with age, W, free androgen index, and serum Δ4-androstenedione and DHEAS levels.

CONCLUSIONS

Besides hyperandrogenemia, abdominal obesity, and young age are independently associated with the presence of hirsutism. In contrast, the relationship between IR and hirsutism appears to be mediated by the more severe obesity of insulin-resistant patients with PCOS.

Emerging concepts about prenatal genesis, aberrant metabolism and treatment paradigms in polycystic ovary syndrome

The interactive nature of the 8th Annual Meeting of the Androgen Excess and PCOS Society Annual Meeting in Munich, Germany (AEPCOS 2010) and subsequent exchanges between speakers led to emerging concepts in PCOS regarding its genesis, metabolic dysfunction, and clinical treatment of inflammation, metabolic dysfunction, anovulation and hirsutism. Transition of care in congenital adrenal hyperplasia from pediatric to adult providers emerged as a potential model for care transition involving PCOS adolescents.

Insulin resistance and acne: a new risk factor for men?

The purpose of this study is to investigate the relationship between acne and insulin resistance as well as other metabolic impairment in young males. Acne is a skin disease that can be influenced by endocrine abnormalities. In females, it is associated with polycystic ovary syndrome, with peripheral insulin resistance and hyperinsulinemia, whereas few data are available in males. For investigating this, 22 young males with acne have been compared to 22 controls of comparable age and gender. Acne was scored using the global acne grading system score. Clinical as well as biochemical parameters of glucose and lipid metabolism, circulating levels of androgens, and IGF-1 were evaluated. Oral glucose tolerance test was performed and homeostasis model assessment of insulin resistance was calculated. The results thus obtained are as follows, patients had higher BMI (p = 0.003), WC (p = 0.002), WHR (p = 0.02), SBP (p = 0.0001), DBP (p = 0.001), basal (p = 0.01) and 120 min. oGTT serum insulin concentrations (p = 0.002), basal glucose concentrations (p = 0.03), HOMA-IR (p = 0.016), and lower HDL-cholesterol than controls (p = 0.001). Among the subgroup of subjects with BMI <24.9, HDL-cholesterol (p = 0.05) and 120 min. oGTT serum insulin concentrations (p = 0.009) resulted to be independent predictors of acne at multivariate analysis. In conclusion, these findings highlight a metabolic imbalance in young males affected with acne. Insulin resistance seems to play the main role for the development of acne in these subjects. Insulin resistance could represent an effective target for therapy in male acne.

Nesfatin-1 and other hormone alterations in polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is commonly characterised by obesity, insulin resistance (IR), hyperandrogenemia and hirsutism. Nesfatin-1 a recently discovered hormone, acts upon energy balance, glucose metabolism, obesity and probably gonadal functions. This study was to evaluate the circulating levels of nesfatin-1 in patients with PCOS (n = 30) and in age and body mass index (BMI)-matched controls (n = 30). PCOS patients had significantly lower levels of nesfatin-1 (0.88 ± 0.36 ng/mL) than healthy controls (2.22 ± 1.14 ng/mL). PCOS patients also had higher gonadotropin and androgen plasma concentrations, Ferriman-Gallwey scores, blood glucose levels and a homeostasis model of assessment-IR index (HOMA-IR) index than in healthy women. Correlation tests in PCOS subjects detected a negative correlation between nesfatin-1 levels and BMI, fasting blood glucose, insulin levels and a HOMA-IR index. Lower nesfatin-1 concentration may plays a very important role in the development of PCOS.

CD4(+)CD28(null) T lymphocyte frequency, a new marker of cardiovascular risk: relationship with polycystic ovary syndrome phenotypes

OBJECTIVE

To study the frequency of CD4(+)CD28(null) T cells, which are aggressive T lymphocytes associated with recurrent coronary instability and type 2 diabetes mellitus, in different polycystic ovary syndrome (PCOS) phenotypes and in age- and body mass index-matched healthy women.

DESIGN

Retrospective cohort observational study.

SETTING

Unit of human reproductive pathophysiology, university hospital.

PATIENT(S)

A total of 167 PCOS patients and 102 control subjects.

INTERVENTION(S)

None.

MAIN OUTCOME MEASURE(S)

CD4(+)CD28(null) T cell frequency, high-sensitive C-reactive protein levels, and other glucose-metabolic parameters.

RESULT(S)

CD4(+)CD28(null) frequency was significantly higher in all PCOS groups than in control subjects. CD4(+)CD28(null) frequency was significantly higher in nonhyperandrogenic phenotype (5.7%, range 3.2-7.1) than in phenotypes with hyperandrogenism (H) + oligoamenorrhea (O) + polycystic ovary (PCO) (3.5%, range 1-5.8), H + O (3%, range 1.8-4.7), and H + PCO (2.63%, range 1.2-4.1). The relative risk of non-H phenotype for PCOS women in the highest quartile for CD4(+)CD28(null) frequency compared with PCOS women with the lowest quartile was 3.2 (95% confidence interval 1.9-5.8).

CONCLUSION(S)

Cardiovascular risk evaluation should be performed in all PCOS phenotypes. In particular, we demonstrated that the non-H phenotype has potentially increased cardiovascular risk in terms of CD4(+)CD28(null) frequency.

Insulin resistance and endocrine characteristics of the different phenotypes of polycystic ovary syndrome: a prospective study

BACKGROUND

Polycystic ovary syndrome (PCOS) is a heterogeneous disorder characterized by oligo- or anovulation (ANOV), biochemical or clinical manifestations of hyperandrogenemia (HA) and PCOs. Four phenotypes of PCOS exist [phenotype 1 (ANOV + HA + PCO), phenotype 2 (ANOV + HA), phenotype 3 (HA + PCO) and phenotype 4 (ANOV + PCO)] but the differences between them are not well studied. We compared markers of insulin resistance (IR) and endocrine characteristics between the different PCOS phenotypes.

METHODS

We prospectively studied 1212 consecutive women with PCOS and 254 BMI-matched healthy women.

RESULTS

Phenotypes 1-4 were present in 48.2, 30.7, 9.7 and 11.4% of patients, respectively. BMI did not differ between the four phenotypes and controls. Both normal weight and overweight/obese women with phenotypes 1 and 2 were more insulin resistant than controls. Overweight/obese, but not normal weight, women with phenotype 4 were more insulin resistant than controls, while IR in women with phenotype 3 did not differ from controls regardless of obesity. In normal weight subjects, women with phenotypes 1 and 2 were more insulin resistant than women with phenotype 4. In overweight/obese subjects, women with phenotype 1 were more insulin resistant than women with phenotypes 2 and 3 and women with phenotype 4 were more insulin resistant than those with phenotype 3. Circulating androgens were higher in normal weight and overweight/obese PCOS patients with phenotypes 1-3 compared with those with phenotype 4, and higher in normal weight PCOS patients with phenotype 1 than in those with phenotype 2.

CONCLUSIONS

Phenotype 1 is associated with more IR and more pronounced HA than phenotype 2. Phenotypes 2 and 4 with obesity, are also characterized by IR. In contrast, phenotype 3 is not associated with IR.