MON-213 Evaluation of Type 2 Diabetes and Cardiovascular Disease Risk Factors in Reproductive-Age Women with Polycystic Ovary Syndrome (PCOS) Using the 2014 Androgen Excess and PCOS Society Criteria for the Polycystic Ovarian Morphology

Application of the newly introduced Rotterdam criteria for polycystic ovary syndrome (PCOS) generates four phenotypic subgroups, defined by the presence/absence of three diagnostic elements: polycystic ovarian (PCO) morphology (P); hyperandrogenism (H); and oligo-amenorrhoea (O). Whilst PCOS is associated with adverse metabolic features, the strength of the association within individual subgroups is not established. We characterized the metabolic and endocrine profiles of PCOS women who are oligomenorrhoeic but normoandrogenaemic, and compared these to other PCOS women and controls. Retrospective dataset analyses. A total of 309 Europid PCOS women, all with PCO morphology, of whom 191 were also hyperandrogenaemic and oligomenorrhoeic (PHO), 76 hyperandrogenaemic with normal menses (PH) and 42 oligomenorrhoeic but normoandrogenaemic (PO); plus 76 Europid control women without PCOS. Metabolic parameters: fasting insulin, lipids, homeostasis model assessment (HOMA) measures of insulin sensitivity; endocrine variables: LH, FSH; prevalence of metabolic syndrome. Insulin sensitivity: PO women were indistinguishable from controls, and markedly less insulin-resistant than PHO women (vs. controls, P = 0.38 after adjustment for BMI and age; vs. PHO, P = 0.003). Metabolic syndrome: the prevalence in PO women (7.1%) was similar to that in controls (3.9%), and lower than in PHO women (29.3%, P < 0.0001). LH levels: PO women were intermediate between controls (vs. controls, P = 0.008) and PHO women (vs. PHO, P = 0.06). Normoandrogenaemic, oligomenorrhoeic women with PCOS are metabolically similar to control women with significantly fewer metabolic features than PCOS women who are also hyperandrogenaemic. However, higher than normal LH and lower sex hormone-binding globulin (SHBG) concentrations in the PO women support the view that they form part of the spectrum of PCOS.

Can cluster analysis be used to differentiate between normo-ovulatory women with normal ovaries and normo-ovulatory women with polycystic ovarian morphology (PCOM) in a non-subjective manner? Cluster analysis can be used to accurately and non-subjectively differentiate between normo-ovulatory women with normal ovaries and normo-ovulatory women with PCOM. Currently, PCOM is diagnosed using a fixed threshold level, i.e. 12 or more follicles per ovary, and is one of the diagnostic criteria of polycystic ovary syndrome (PCOS). However, PCOM is also encountered in normo-ovulatory women, suggesting that it could just represent a normal variant. On the other hand, recent studies have shown subtle endocrine abnormalities in women with isolated PCOM that resemble those found in women with PCOS. Because of the strong correlation between anti-Müllerian hormone (AMH) and follicle number, a high serum AMH level has been proposed as a surrogate marker for PCOM and could, therefore, be integrated in the diagnostic classifications for PCOS. This was a retrospective observational cohort study. Original cohorts had been recruited for previous studies between 1998 and 2010. Two hundred ninety-seven regularly cycling women and 700 women with PCOS were eligible for inclusion. Cluster analysis was performed in 297 regularly cycling women. After exclusion of 'PCOM' clusters, each 'non-PCOM' cluster (young, n = 118 and old, n = 100) was included in the construction of a receiver operating characteristics curve to test the diagnostic performance of follicle number per ovary (FNPO) and serum AMH in discriminating similarly aged full-blown PCOS patients (n = 411 and 237, respectively) from normal regularly cycling non-PCOM women. The optimal number of clusters was four; age was the most important classifying variable, followed by the FNPO and serum AMH. Two distinct clusters of normo-ovulatory women with PCOM were isolated and differed solely by age, i.e. 'young' and 'old'. Both 'PCOM' clusters had their similarly aged counterpart of 'non-PCOM' clusters. Likewise, two clusters comprised women younger than 30 years, with (n = 28, 'PCOM regularly cycling women') or without (n = 118, 'normal regularly cycling women') features of PCOM (increased FNPO and/or serum AMH). The two other clusters in older women could be labelled 'normal regularly cycling women' or 'PCOM regularly cycling women' (n = 100 and 51, respectively). The prevalence of PCOM was significantly greater in old than in young regularly cycling women controls. In the young population, after exclusion of the 'PCOM regularly cycling women', the diagnostic performance of AMH, expressed by area under the curve (AUC) (AUC = 0.903; CI (0.876-0.930)) to differentiate PCOS women from normal regularly cycling women was similar to that using the FNPO (AUC = 0.915, CI (0.891-0.940)) (P = 0.25), confirming results from earlier studies. In the old population, the diagnostic performance of AMH was greater than that of FNPO (AUCs = 0.948 (0.927-0.970) vs 0.874 (0.836-0.912), respectively, P = 0.00035). Cut-off levels of AMH and antral follicle count distinguishing regularly cycling non-PCOM women from PCOS women were higher in young women than in older women. Data of normal women were obtained from earlier studies, aiming to measure normal endocrine values. Apparently, the strong effect of age in cluster analysis revealed a dichotomy in the age distribution among the cohort of regularly cycling women included. This was involuntary since in none of the original studies, eligibility was limited by age and there was considerable overlap in age ranges of the cohorts. Transvaginal ultrasound was performed using a 6.5-8 mHz probe and our data confirm that this threshold level for FNPO is still valid if using such probe frequencies, although the use of devices with a maximum frequency lower than 8 mHz has become obsolete. Obviously, newer ultrasound scanner using higher transducer frequency will facilitate the detection of more follicles. Our data support the use of AMH as a surrogate for ultrasound to define PCOM, which is one of the three items of the Rotterdam classification. They also show that age should be taken into account to define the optimal threshold. The fact that the prevalence of PCOM was increased in the older regularly cycling women, may be due to 'attenuated' PCOS, a phenomenon that has been described in ageing women with PCOS. These women might have had anovulatory cycles in the past and have become ovulatory with increasing age, and were, therefore, eligible for this study. However, since most women included at older age have had spontaneous pregnancies in the past, PCOM at older age may be associated with a subclinical form of PCOS, which may also be present in young regularly cycling women. No funding was received for this study. J.S.E.L. has received grants and support from Ferring, MSD, Organon, Merck-Serono, Schering Plough and Serono during recruitment and analysis of data for this study. S.L.F., A.D. and D.D. do not have any conflict of interest.

Study question What mechanisms are involved in the ovarian alterations of Polycystic Ovary Syndrome (PCOS) and Morphology? Summary answer PCOS patients associated a distinctive impairment of oxidative phosphorylation and dysregulated complement system in their follicular compartments not found in Polycystic Ovarian Morphology (PCOM) women. What is known already PCOS is a major cause of female infertility characterized by aberrant follicular development and hormonal imbalances leading to reproductive symptoms such as anovulation, poor oocyte quality, and hyperandrogenism. Likewise, PCOM is present in 16-25% of women with regular menses, but the clinical relevance of this ovarian phenotype and its correlation with PCOS remains unclear. Therefore, to establish the specific molecular mechanisms underlying the ovarian alterations in PCOS using High-throughput techniques will allow us to provide a better clinical management and a differential diagnosis with PCOM women. Study design, size, duration Cross-sectional molecular study including samples from 26 patients undergoing an IVF cycle between 2019-2022 at Hospital La Fe (Valencia, Spain). Eight women were considered PCOS, eleven PCOM and seven were control fertile patients. Granulosa cells (GCs) and follicular fluid (FF) samples were obtained during oocyte retrieval to perform RNA-seq and proteomic analysis, respectively. Participants/materials, setting, methods Women with two or more Rotterdam-criteria were considered as PCOS, while PCOM was defined by polycystic ovarian morphology on ultrasound with regular ovulatory cycles. RNA from GCs was obtained and sequenced using NextSeq500-Illumina to identify differentially expressed genes (DEGs) using DESeq2 (R-software). The proteome of FF samples was established by LC-MS/MS and differentially expressed proteins (DEPs) analyzed with limma package. Functional enrichment analysis of DEGs and DEPs (FDR&amp;lt; 0.05) was performed based on KEGG database. Main results and the role of chance RNA-seq data revealed clear distinctions between GCs from PCOS and control women, with 526 DEGs. By contrast, the transcriptomes of PCOS and PCOM were more similar, with only 34 DEGs. Notably, oxidative phosphorylation emerged as the most enriched pathway in both comparisons, showing a differential expression in PCOS. Indeed, 6 out of 12 shared DEGs (MT-TP, MT-ND4L, MT-ND2, MT-ATP8, MT-ND4, and MT-ATP6), were mitochondrial genes found upregulated in PCOS vs. PCOM and control samples. These findings suggest that granulosa cells from PCOS present a dysregulation in oxidative phosphorylation, potentially linked to alterations in those genes associated with the mitochondrial electron transport chain. The proteomic analysis showed 37 DEPs in the FF of PCOS compared with controls, being these DEPs mainly involved in the complement and coagulation cascades, PI3K-AKT pathway, oocyte meiosis and ferroptosis. Furthermore, the PCOS vs. PCOM analysis revealed 42 DEPs, significantly enriched also in complement and coagulation cascades, ferroptosis and glutathione metabolism. Interestingly, fifteen proteins were differentially expressed in both comparisons, with four of them related to the complement system (PROS1, C1S, C1QB and MASP2), suggesting that an alteration in this system at follicular fluid level might be one of the hallmarks of PCOS. Limitations, reasons for caution Further experimental studies are required to validate the specific changes identified in our study. Moreover, to establish how these alterations in the follicular compartments affect the oocytes of PCOS patients should also be explored. Wider implications of the findings Our study focused on specific mechanisms involved in PCOS ovarian alterations, providing new insights into potential biomarkers for an accurate diagnosis and management of this pathology. Dysregulations in oxidative phosphorylation and complement system might play a crucial role in PCOS multifactorial nature, contributing to impaired folliculogenesis and decreased oocyte quality. Trial registration number Not Applicable

ObjectivesThe aim of the present study was to evaluate the prevalence of polycystic ovary syndrome (PCOS), its phenotypical and cardio-metabolic features in a community sample of the Iranian population in comparison to healthy eumenorrheic, non-hirsute women without polycystic ovaries. The second aim was to assess the cardio-metabolic characteristics of women who suffered from one criteria of PCOS compared to those healthy eumenorrheic, non-hirsute women.MethodsIn this cross-sectional population-based study, a total of 1,960 eligible women, aged (18–45 years) were recruited from the Tehran-Lipid and Glucose-Study participants and were classified as the three groups of (i) women with PCOS by the Rotterdam criteria, (ii) non-PCOS women with one criteria of PCOS and (iii) healthy eumenorrheic, non-hirsute women without polycystic ovaries morphology (PCOM) as the control group. Further PCOS women were extended to four phenotypes of hyperandrogenism, oligo-anovulation, polycystic ovaries (phenotype A), hyperandrogenism, oligo/anovulation (phenotype B), hyperandrogenism, polycystic ovaries (phenotype C) and oligo-anovulation, polycystic ovaries (phenotype D). Cardio-metabolic profiles and the prevalence of comorbidities of metabolic syndrome (MetS) and lipid abnormalities were compared among these groups linear, and the median regression models adjusted for age and body mass index.ResultsThe prevalence of PCOS according to the diagnostic criteria of the NIH, Rotterdam and AE-PCOS Society were 13.6, 19.4, and 17.8, respectively. Among those who met the Rotterdam criteria, 23.9, 46.3, 21.6, and 8.2% had phenotypes A, B, C, and D, respectively. Among the remaining 1,580 women who did not fulfil the PCOS criteria, 108 (6.8%) suffered from only oligo/anovulation, 332 (21%) only hyperandrogenism/hyperandrogenemia, 159 (16.2%) only PCOM in ultrasound and 981 (62%) were healthy eumenorrheic, non-hirsute women without PCOM. The study revealed that some adiposity indices and lipid abnormalities in PCOS phenotypes with hyperandrogenism (A, B, and C) were worse than in healthy women. By contrast, women with phenotype D did not differ from the healthy ones in terms of adiposity and lipid abnormalities. However, the respective values for other cardio-metabolic profiles and MetS rates in different phenotypes of PCOS were similar to the healthy women. Only the prevalence of MetS in phenotype A was significantly higher than in the healthy women. There were no statistically significant differences between participants with one criteria of PCOS and healthy counterparts in terms of most adiposity indexes, cardio-metabolic factors, and comorbidity of MetS and its components. However, women with hyperandrogenism had a significantly higher level of the waist to height ratio (WHtR) and hypertriglyceridemia than their healthy counterparts.ConclusionPCOS, mainly classical phenotypes A and B, are common among Iranian women of reproductive age. Women with PCOS who had androgen excess exhibited the worst lipid profile, and those who had full three criteria of the syndrome exhibited the higher rate of MetS. However, women with only ovulatory dysfunction and only PCOM had similar cardio-metabolic characteristics, compared to healthy subjects. These data suggest that routine screening for metabolic disturbances may be needed in the prevention of cardio-metabolic disorders in patients with more serious phenotypes of PCOS.

Polycystic ovary syndrome (PCOS) is associated with insulin resistance and features in common with the metabolic syndrome (MetS)--factors shown to predict cardiovascular risk and type 2 diabetes. We investigated the prevalence and characteristics of the MetS in PCOS by three definitions-World Health Organization (WHO), National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP-III) and International Diabetes Federation (IDF)--and compared that with the background population. Cross-sectional study of 168 women with PCOS and 883 age-matched controls from the Australian Diabetes, Obesity and Lifestyle (AusDiab) study. Prevalence of the MetS in PCOS subjects was 33% by WHO, 37% by NCEP-ATP-III and 40% by IDF criteria, compared with 10% by NCEP-ATP-III and 13% by IDF in controls (P < 0.001). MetS by WHO criteria was not calculated in the AusDiab population. Age was an independent predictor of MetS in PCOS and controls. The prevalence of MetS was significantly higher among those with PCOS (P = 0.027) in obese women (BMI > 30 kg/m(2)), and higher but not significantly so in overweight (BMI 25-30 kg/m(2)) women (P = 0.052). Dehydroepiandrosterone sulphate was associated with a lower risk of the MetS--Odds ratio 0.86 (95% confidence interval, 0.77-0.97, P = 0.011). An approximate 4-fold increase in the prevalence of the MetS in women with PCOS compared with the general population, consistent with the proposed major role of insulin and obesity in the syndrome, implies greater risk of cardiometabolic disease in women with PCOS. However, this estimate is likely to vary according to PCOS definition, ethnicity and different aetiological pathways to PCOS.

Increased total and phosphorylated glycogen synthase kinase-3 (GSK-3) in the adipocytes of patients with the polycystic ovary syndrome (PCOS)

Increased monocyte chemoattractant protein-1 levels indicating early vascular damage in lean young PCOS patients

Is intrinsic dysregulation of granulosa cells (GC) and consequent increases in the per-follicle production of anti-Müllerian hormone (AMH), correlated with the phenotypic presentation of women with polycystic ovaries? Involvement of intrinsic GC dysregulation in oligo-anovulation associated with polycystic ovary syndrome (PCOS) is likely because among women with PCOS, those with oligo-amenorrhea have higher per-follicle AMH production than those who ovulate normally, irrespective of their androgen and/or metabolic status. Women with PCOS have higher serum AMH level than non-PCOS women due to an increased follicle number and excessive AMH production per follicle, the latter reflecting a putative GC dysfunction that may vary between PCOS phenotypes. This is a retrospective analysis of data collected from 1021 women undergoing infertility evaluation from March 2011 to October 2013. The study included women with polycystic ovarian morphology (PCOM) who met the Rotterdam criteria for PCOS (n = 272), women with PCOM only (n = 168) and controls (n = 581). We used serum AMH to antral follicle count (AFC) ratio (AMH/AFC) as a marker of per-follicle AMH production and checked whether this ratio was associated with the PCOS phenotype and to the menstrual, androgen and metabolic status in women with PCOS, women with PCOM only and in controls. AMH/AFC was significantly higher in oligo-amenorrheic women with PCOS than in eumenorrheic women with PCOS or PCOM (P < 0.001) but also in the latter group compared with controls (P < 0.001) regardless of androgen status. Stepwise discriminant analysis yielded a significant score for the menstrual status with a discriminant power of 26.5% (P < 0.001). This score included AFC, AMH/AFC, waist circumference and LH with partial R(2) of 0.172, 0.042, 0.024 and 0.023, respectively. The AMH to AFC ratio as a surrogate marker for average AMH may be subject to error because follicles below the sensitivity limit of the ultrasonography used may also contribute to serum AMH concentration and secondly, AFC can be subjective. The higher AMH/AFC in women with PCOM only than in controls suggests that isolated PCOM may represent a PCOS-like phenotype in which an inherent dysfunction of GC exists but is too mild to affect the ovulatory process. No funding was obtained for this study. There are no conflicts of interest to be declared. Non-applicable.

BACKGROUND Polycystic ovary syndrome (PCOS) is a common condition in women of reproductive age with well established metabolic abnormalities. There are numerous diagnostic criteria generating several reproductive diagnostic phenotypes [National Institute of Health (NIH) hyperandrogenic anovulatory PCOS and non-NIH PCOS including hyperandrogenic ovulatory or non-hyperandrogenic anovulatory PCOS]. There is ongoing debate regarding the optimal diagnostic criteria for PCOS and on the metabolic implications of newer non-NIH PCOS phenotypes. METHODS We reviewed the literature on the presence of risk factors for type 2 diabetes (DM2) and cardiovascular disease (CVD) across the reproductive diagnostic phenotypes of PCOS with the aims of comparing the metabolic features of the NIH and non-NIH groups and identifying potential high metabolic risk phenotypes of PCOS. RESULTS NIH PCOS patients present with greater obesity, abdominal obesity, insulin resistance (IR) and risk factors for DM2 and CVD compared with non-NIH ovulatory and non-hyperandrogenic PCOS patients. Where differences in metabolic features exist between the phenotypes, they are generally related to the degree of total and abdominal obesity. There is emerging evidence suggesting ovulatory and non-hyperandrogenic PCOS have greater metabolic abnormalities than controls primarily linked to abdominal adiposity. There is currently no evidence that non-hyperandrogenic PCOS is associated with a less adverse metabolic profile than ovulatory PCOS. CONCLUSIONS Current metabolic evidence appears to justify the inclusion of both non-NIH PCOS groups (ovulatory and non-hyperandrogenic) as PCOS subgroups. NIH PCOS is associated with a more adverse metabolic profile including greater total and abdominal obesity, IR and risk factors for CVD and DM2 than non-NIH phenotypes.

The purpose of this study was to investigate the effect of calorie restriction on serum concentrations of sex hormone binding globulin (SHBG) in women with normal or polycystic ovaries (PCO) and to examine the possible role of insulin and insulin-like growth factor-I (IGF-I) in mediating changes in SHBG levels. Six normal subjects with mean (SD) body mass index (BMI) 25.5 (2.2) and five subjects with PCO (BMI 36.1 (3.7)) were studied before and after 2 or (PCO only) 4 weeks of a very low calorie diet (330 kcal/day; Cambridge Diet). In both normal women and patients with PCO there was a twofold increase in SHBG concentrations after 2 weeks and this was sustained in the PCO subjects for a further 2 weeks. The rise in SHBG was accompanied by a fall in free testosterone concentrations. There were parallel changes in serum insulin and IGF-I concentrations which decreased during the diet and there were significant negative correlations of SHBG with insulin in both normal subjects (r = -0.62) and women with PCO (r = -0.60). In addition, serum concentrations of an insulin-dependent small molecular weight (34 kDa) binding protein for IGF-I (IGF-BPI) increased significantly during dieting in both groups and were negatively correlated with serum insulin (controls, r = -0.56; PCO, r = -0.68) and positively correlated with serum SHBG levels (controls, r = 0.69; PCO, r = 0.63). In summary, these data indicate that in both normal subjects and those subjects with PCO, calorie restriction results in a highly significant increase in SHBG concentrations.(ABSTRACT TRUNCATED AT 250 WORDS)

Determination of the best-fitting ultrasound formulaic method for ovarian volume measurement in women with polycystic ovary syndrome

The aim of this study was to estimate the prevalence, to evaluate the characteristics of the metabolic syndrome (MetS) in Greek women with polycystic ovary syndrome (PCOS) and to investigate the correlation of MetS with body mass index (BMI). In a prospective controlled study, 230 Greek female patients with PCOS and 155 age-matched healthy controls were enrolled. Diagnosis of PCOS was based on the revised criteria of Rotterdam. Both groups were examined for MetS. Diagnosis of MetS was based on the revised criteria of International Diabetes Federation (IDF). The prevalence of the MetS was 12.6 %, nearly sevenfold higher than the controls. Elevated fasting plasma glucose (7.0 vs. 1.9 %) and elevated triglycerides (10.4 vs. 3.2 %) were more frequent in the PCOS cohort (p < 0.05). Women with PCOS presented statistically higher BMI in comparison with the controls (p < 0.001). Subsequently, the prevalence of MetS was estimated in three groups: normal, overweight and obese subdivided according to BMI. The latter two groups showed significant differences compared with the healthy controls (24.5 vs. 8.8 %, p = 0.050). In conclusion, this study showed high prevalence of MetS and increased BMI in Greek PCOS women. In addition, it demonstrated the higher prevalence of MetS in obese PCOS women in comparison with the controls. These results are placing them at increased risk for cardiovascular disease and diabetes in the future and underline the necessity of periodic screening, appropriate diet and exercise program.

Disclosure: C. Parker: None. R. Bauer: None. C.K. Welt: None. R.S. Legro: None. M.G. Hayes: None. M. Urbanek: None. Background: Polycystic ovary syndrome (PCOS) is a multisystem endocrine disorder and is the most common form of anovulatory infertility of reproductive aged women (6-15%). PCOS is characterized by the presence of hyperandrogenemia, irregular menses, and polycystic ovarian morphology. A previous twin study has shown PCOS to be highly heritable (h2=0.72). Thus, we hypothesize that genetic variation is a major contributor to the etiology of PCOS. Objective: Our goal is to identify the genetic factors that contribute to the PCOS phenotype and how they define phenotypic subtypes of PCOS with the aim of better understanding PCOS pathology and optimizing treatment strategies for individual women. Methodology: We are performing whole exome sequencing (WES) supplemented with genomic regions mapping to PCOS GWAS loci on 772 subjects with PCOS and 300 age and ancestry-matched controls to generate a comprehensive catalog of PCOS-associated protein coding variants. We will use prediction tools to identify likely-to-be deleterious variants and in silico evidence of epigenetic modification to identify PCOS associated genes/pathways. We will then prioritize variants for molecular follow-up creating a comprehensive catalog of protein coding variants associated with PCOS. We expect the variants identified by WES to map to multiple genes and pathways including novel genes/pathways which have not previously been implicated in PCOS as well as genes/pathways that have previously been shown or predicted to play a major role in the etiology of PCOS by us or other groups. Results: To date we have obtained high quality sequencing data on 772 women with PCOS. Sequencing of 300 age and ancestry matched reproductively heathy women is being started. We have identified 81 rare protein coding genetic variants using targeted re-sequencing in three distinct pathways in an independent PCOS cohort. These genes are associated with insulin resistance, the gonadotropin signaling pathway and the Anti-Müllerian Hormone (AMH) signaling pathway. We identified 37 functionally validated deleterious variants in genes that encode AMH or its cognate receptor AMHR2, 7 rare variants that encode LMNA, 11 rare (MAF &amp;lt;0.1) variants that encode the insulin receptor, and 26 coding variants for the genes encoding the beta subunit of gonadotropins, LH and FSH, and their receptors, FSHR and LHCGR. Conclusion: We have identified 81 rare protein altering genetic variants in pathways that are predicted to be impaired in individuals with PCOS supporting a critical role for genetics in the etiology of PCOS. Our WES screen will allow us to generate a comprehensive catalog of likely to be deleterious PCOS associated variants. This catalog of variants will identify the genes/pathways that are mutated in PCOS leading to improved personalized phenotyping and treatment of PCOS. Presentation Date: Friday, June 16, 2023

We investigated whether obesity was a marker for a neuroendocrinologically distinct form of the polycystic ovary syndrome (PCO). Further, since women with PCO have significantly higher basal and/or glucose-stimulated plasma insulin levels, we also examined the effects of chronic hyperinsulinemia on gonadotropin and gonadal steroid secretion. Ten obese women (nine with acanthosis nigricans) and five nonobese women (one with acanthosis nigricans) with PCO as well as seven obese and six nonobese women of comparable age and weight in the midfollicular phase of their cycles were studied. Pulsatile gonadotropin release was determined for 6-24 h as well as gonadotroph sensitivity to GnRH (10 micrograms, iv). The obese PCO women had significantly increased basal and glucose-stimulated plasma insulin levels compared to the other groups, the nonobese PCO and the obese normal women had similar insulin levels, and the nonobese normal women had the lowest insulin levels. All four groups had similar plasma estradiol levels. Both the obese and the nonobese PCO women had similar and significantly higher mean plasma LH levels, LH pulse amplitude, and integrated LH responses to GnRH compared to values in both normal groups (P less than 0.01 to P less than 0.001); the obese PCO women did not differ from the nonobese PCO women. The mean LH pulse frequencies per 6 h were similar in the four groups. FSH secretion did not differ significantly in the four groups. The levels of the putative gonadal feedback steroids, plasma total and non-sex hormone-binding globulin-bound testosterone, non-sex hormone-binding globulin-bound estradiol, and estrone, were similar in both PCO groups and were significantly higher than those in both normal groups (all P less than 0.001). The only independent effect of obesity was on plasma androstenedione levels and the androstenedione to estrone ratio, both of which were significantly higher in PCO women than normal women (P less than 0.01 to P less than 0.001), but significantly lower in the obese (PCO and normal) women than in nonobese (PCO and normal) women (P less than 0.05). These findings suggest that 1) the impact, if any, of obesity in PCO is not reflected in discernible changes in gonadotropin release or in the gonadal steroid feedback environment; and 2) insulin does not have a major role in the perpetuation of PCO, since obese and nonobese PCO women had similar reproductive hormone levels despite significantly different degrees of hyperinsulinemia.

Objectives: The aim of the present study was to evaluate the impact of polycystic ovarian morphology in the hormonal and metabolic features of the classical phenotypes of PCOS. Design: The study included 1275 Caucasian women with PCOS with a mean age of 24.25 ± 5.79 years and a mean BMI of 26.80 ± 7.03 kg/m2. Diagnosis of PCOS was based on the 2003 Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus criteria. Two phenotypes, matched for age and BMI were compared: Phenotype I (n=620) which included PCOS women with biochemical hyperandrogenemia and/or clinical hyperandrogenemia, chronic anovulation and polycystic ovarian morphology on ultrasound (PCO). Phenotype II (n=400) which included PCOS women with biochemical hyperandrogenemia and/or clinical hyperandrogenemia and chronic anovulation, without PCO. These phenotypes were further subdivided in normal weight and obese PCOS women. Results: PCOS women of Phenotype I had higher LH/FSH ratio (p<0.001), higher Testosterone (p<0.01), Δ4 Androstenedione (p<0.001) and 17-OH progesterone levels (p<0.001), and higher Free Androgen Index (FAI) values (p<0.01) compared to Phenotype II. With the exception of fasting glucose levels, all other indices of insulin resistance (fasting insulin, fasting glucose/insulin ratio, QUICKI and HOMA2IR) document an association between Phenotype I and greater insulin resistance in overweight/obese PCOS women. Conclusions: In conclusion, in classical phenotypes of polycystic ovary syndrome (PCOS), polycystic ovarian morphology is associated with more severe hyperandrogenemia and deranged LH/FSH ratio. In overweight/obese PCOS subjects, PCO is positively correlated with insulin resistance.