Effects of different PCOS phenotypes on placental three-dimensional power Doppler indices and placental volume during the first trimester.

INTRODUCTION: The aim of the present study was to evaluate the effects of different polycystic ovary syndrome (PCOS) phenotypes using first-trimester placental three-dimensional power Doppler indices and placental volume. METHODS: In this prospective case-control study, 170 pregnant women who met the inclusion criteria were divided into five groups according to PCOS phenotype: non-PCOS control (n = 34), PCOS phenotype A (n = 34), PCOS phenotype B (n = 34), PCOS phenotype C (n = 34), and PCOS phenotype D (n = 34). The primary outcomes determined in the present study were the differences in placental volume and placental flow index (FI), vascularization flow index (VFI), vascularization index (VI), and uterine artery pulsatility index (PI) betweenthe PCOS groups and control group. RESULTS: The mean placental volume and VI were significantly decreased in the phenotype A, B, and C groups compared to the control group and PCOS phenotype D group. The mean FI and VFI were significantly decreased in the phenotype A and B groups compared to the control group and PCOS phenotype C and D groups. The mean testosterone, dehydroepiandrostenedione, sex-hormone binding globulin, free androgen index, and insulin resistance levels were significantly increased in the phenotype A, B, and C groups compared to the control group and PCOS phenotype D group. DISCUSION: The results indicated that placental volume and placental vascular Doppler indices in the first trimester were more adversely affected in the PCOS A and B phenotypes than other PCOS phenotypes.

Structural changes in amide I and amide II regions of PCOS women analyzed by ATR-FTIR spectroscopy.

The etiology of PCOS is complex and frequently mis or undiagnosed, which may enhance morbidity and reduce the quality of life. Attenuated total reflection- Fourier transform infrared (ATR-FTIR) spectroscopy examines the structural fingerprints of the biochemical compounds and can provide distinct FTIR spectra of the PCOS cases and controls. The present study recruited 61 PCOS cases and 38 control women. The student's t-test was used to compare BMI, WHR, and lipid profile. The FTIR spectral region was compared among both groups using the Mann-Whitney U test and multivariate analysis involved principal component analysis (PCA) and hierarchical cluster analysis (HCA). FTIR spectra of different phenotypes of PCOS were also analyzed using multivariate analysis. In univariate analysis, PCOS women had significantly higher WHR (p = 0.007), BMI (p = 0.04), triglycerides (p = 0.04), and VLDL (p = 0.02) than the controls. The spectral regions of amide I (1700-1600 cm-1) and amide II (1580-1480 cm-1), were significantly greater in the PCOS group than in the controls (p < 0.01 and p < 0.001, respectively). The PCA and HCA revealed a distinct molecular fingerprint for phenotype A (PCOM + OA + HA) and phenotype B (HA + OA). Our study postulated that the spectral regions of amide I and amide II can distinguish between PCOS cases and control women and it may be used for the diagnosis of cases.

Comparing GDF9 in mature follicles and clinical outcomes across different PCOS phenotype.

Background: Polycystic ovary syndrome (PCOS) is main cause of anovulatory infertility in women with gestational age. There are currently four distinct phenotypes associated with individualized endocrinology and metabolism. Growth differentiation factor 9 (GDF9) is a candidate as potential biomarker for the assessment of oocyte competence. The effect on oocyte capacity has not been evaluated and analyzed in PCOS phenotypes. Objective: We aimed to screen the expression levels of GDF9 in mature follicles of women with controlled ovarian hyperstimulation (COS) with different PCOS phenotypes. To determine the correlation between the expression level of GDF9 and oocyte development ability. Methods: In Part 1, we conducted a retrospective study comparing the clinical outcomes and endocrine characteristics of patients with PCOS according to different subgroups (depending on the presence or absence of the main features of polycystic ovarian morphology (PCOM), hyperandrogenism (HA), and oligo-anovulation (OA)) and non-PCOS control group. We stratified PCOS as phenotype A (n = 29), phenotype B (n = 18) and phenotype D (n = 24). In Part 2, the expression of GDF9 in follicular fluid (FF) and cumulus cells (CCs) were detected by enzyme-linked immunosorbent assay (ELISA) and immunohistochemistry, respectively. Results: In Part 1, the baseline clinical, hormonal, and ultrasonographic characteristics of the study population were matched with the presence or absence of the cardinal features of each PCOS phenotypes showed a clear difference. Phenotypes A and D had statistically significant associations with blastocyst formation and clinical pregnancy compared with phenotypes B (p < 0.001). In Part 2, the levels of GDF9 in FF and CCs for phenotype A and B were significantly were higher than those of phenotype D (P = 0.019, P = 0.0015, respectively). Multivariate logistic regression analysis showed that GDF9 was an important independent predictor of blastocyst formation (P＜0.001). The blastocyst formation rate of phenotype A was higher than that of phenotype B and D (P＜0.001). Combining the results of the two parts, GDF9 appears to play a powerful role in the development of embryos into blastocysts. Conclusions: GDF9 expression varies with different PCOS phenotypes. Phenotype A had higher GDF9 levels and blastocyst formation ability.

Serum Expression of miR-23a-3p and miR-424-5p Indicate Specific Polycystic Ovary Syndrome Phenotypes: A Pilot Study.

MicroRNAs (miRNAs) are single-stranded, non-coding RNAs that regulate mRNA expression on a post-transcriptional level. Observational studies suggest an association of serum miRNAs and polycystic ovary syndrome (PCOS), a common heterogeneous endocrinopathy characterized by hyperandrogenism (HA), oligo- or amenorrhea (OM) and polycystic ovaries. It is not known whether these miRNA profiles also differ between PCOS phenotypes. In this pilot study, we compared serum expression profiles between the four PCOS phenotypes (A-D) and analyzed them both in PCOS (all phenotypes) and in phenotypes with HA by quantitative-real-time PCR (qRT-PCR). The serum expression of miR-23a-3p was upregulated in phenotype B (n = 10) and discriminated it from phenotypes A (n = 11), C (n = 11) and D (n = 11, AUC = 0.837; 95%CI, 0.706-0.968; p = 0.006). The expression of miR-424-5p was downregulated in phenotype C (n = 11) and discriminated it from phenotypes A, B and D (AUC = 0.801; 95%CI, 0.591-1.000; p = 0.007). MiR-93-5p expression was downregulated in women with PCOS (all phenotypes, n = 42) compared to controls (n = 8; p = 0.042). Phenotypes with HA (A, B, C; n = 32) did not show differences in the analyzed expression pattern. Our data provide new insights into phenotype-specific miRNA alterations in the serum of women with PCOS. Understanding the differential hormonal and miRNA profiles across PCOS phenotypes is important to improve the pathophysiological understanding of PCOS heterogeneity.

Insights From Liquid Chromatography-Mass Spectrometry-Measured Androgens in Indian Women With Polycystic Ovary Syndrome.

INTRODUCTION: Hyperandrogenemia is the defining feature of polycystic ovary syndrome (PCOS). Increasingly androgens are being advocated to be measured through liquid chromatography-mass spectrometry (LC-MS/MS). The role of LC-MS/MS over immunoassay in diagnosis of PCOS has been debated over a long time. We analyzed the role of androgens as measured by LC-MS/MS in diagnosing women with PCOS. MATERIALS AND METHODS: We performed a prospective case-control study involving 59 women with PCOS compared with 30 age- and BMI-matched controls. RESULTS: In PCOS phenotypes A-C (hyperandrogenic by definition), 19/47 (40%) had normal testosterone (T) levels but 14/19 (75%) had either elevated androstenedione (A4) or dehydroepiandrosterone. A4 had the highest area under curve (0.89) for diagnosing PCOS followed by T (0.81). Even in the PCOS-D phenotype (sonologic polycystic ovaries + oligomenorrhoea), A4 was significantly higher as compared to controls though still in normal range. CONCLUSION: A4 had a role in diagnosing hyperandrogenism in women with PCOS. Further studies clarifying the role of androgen profiles in diagnosing PCOS and its cost-effectiveness may be required in the future.

The Comparative Effects of Myo-Inositol and Metformin Therapy on the Clinical and Biochemical Parameters of Women of Normal Weight Suffering from Polycystic Ovary Syndrome.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a multisystem reproductive-metabolic disorder and the most common endocrine cause of infertility. The objective of our study was to determine the influence of myo-inositol (MI) on insulin resistance (IR), menstrual cycle regularity, and hyperandrogenism in women suffering from PCOS with normal BMI and diagnosed IR. METHODS: We performed a prospective randomized controlled trial (RCT) that included 60 participants with PCOS who had IR and a normal BMI. Two groups were formed. A group of thirty patients received MI, and thirty patients in the control group received metformin (MET). RESULTS: A statistically significant reduction in the area under the curve (AUC) of insulin values during the oral glucose tolerance test (OGTT) was recorded in both examined groups after the applied therapy with MI and MET. The regularity of the menstrual cycle in both groups was improved in >90% of patients. A statistically significant decrease in androgenic hormones (testosterone, SHBG, free androgen index-FAI, androstenedione) was recorded in both groups and did not differ between the groups. CONCLUSIONS: Both MI and MET can be considered very effective in the regulation of IR, menstrual cycle irregularities, and hyperandrogenism in women with PCOS.

Body mass index is a good predictor of metabolic abnormalities in polycystic ovary syndrome.

AIM: To assess which parameters among hyperandrogenism (total testosterone-tT-or free androgen index-FAI), sex hormone binding globulin (SHBG) or body mass index (BMI) could better predict a worse metabolic profile in women with polycystic ovary syndrome (PCOS). METHODS: Five hundred and eighty-six women with PCOS and clinical or biochemical hyperandrogenism were included. Receiver Operating Characteristics (ROC) curves with tT, FAI, SHBG and BMI were performed for metabolic parameters and a cut-off with sensitivity and specificity was obtained for each parameter. The women were then divided into three groups and compared according to their BMI. RESULTS: Based on the ROC curves, tT proved not to be a good predictor of metabolic alterations. FAI and SHBG resulted to be good predictors of some markers of metabolic damage. The area under the curves (AUC) of SHBG were greater than those of FAI. SHBG levels affects the values of homeostasis model assessment of insulin resistance (HOMA-IR), fasting insulin, high density lipoproteins (HDL), low density lipoproteins (LDL), and total cholesterol also when corrected for BMI. However, the highest AUCs of the ROC curves were observed when BMI was used, which was significantly related to all the metabolic parameters analyzed. Dividing women according to their BMI, BMI between 25.00 and 30.00 kg/m2 had a worse metabolic profile but still in a normal range, while BMI ≥ 30 kg/m2 women had a significant metabolic derangement. DISCUSSION: BMI is a good predictor factor of metabolic changes in PCOS women at any age, and obesity is associated to the appearance of metabolic complications. Overweight and obese PCOS women should be addressed to perform a complete metabolic assessment.

Treatment with Myo-Inositol Does Not Improve the Clinical Features in All PCOS Phenotypes.

BACKGROUND: The aim of the present study is to investigate the effects produced by a treatment with myo-Inositol (myo-Ins) in women presenting polycystic ovary syndrome (PCOS) of different phenotypes. METHODS: We performed a retrospective study to evaluate whether patients presenting different PCOS phenotypes, treated for 6 months with myo-Ins, might exhibit a differential response to the treatment. On this premise, we clustered women with PCOS phenotypes A, B, and C in the first study group (hyperandrogenic PCOS or H-PCOS), and women presenting PCOS phenotype D in a separate study group (non-hyperandrogenic PCOS or NH-PCOS) to evaluate if the presence of hyperandrogenism, shared by H-PCOS, might imply a metabolic/endocrine condition rather than a gynecological issue. RESULTS: The administration of myo-Ins induced a significant improvement in metabolic and endocrine parameters in H-PCOS, while the effects on NH-PCOS were negligible. Additionally, myo-Ins treatment improved the endometrial thickness of H-PCOS. CONCLUSIONS: Subjects selected for the study exhibited a differential response to myo-Ins therapy according to their PCOS phenotypes. The data suggest that the same treatment might not equally improve the parameters of the PCOS condition in each sub-group of patients. It is crucial to distinguish the various phenotypes to properly select the therapeutical approach.

Prevalence of polycystic ovary syndrome in European countries and USA: A systematic review and meta-analysis.

We conducted a systematic review and meta-analyses of the prevalence of Polycystic Ovary Syndrome (PCOS) and the frequency of its phenotypes in Europe and the USA, also focusing on temporal trends of the condition, to compare the PCOS prevalence among populations with a similar level of diagnostic resources availability and attitudes toward health problems, to improve comparability of estimates. We considered Europe and USA, two high-income areas with these characteristics. The overall PCOS prevalence according to the NIH1990, ESHRE/ASRM 2003, AES-PCOS diagnostic criteria was respectively 6.2 % (95%CI 5.3-7.0), 19.5 % (95%CI 17.3-21.6), and 15.0 % (95%CI 12.9-17.1), with no appreciable heterogeneity across geographic areas. Phenotype A, the "complete PCOS", showed higher prevalence in all areas (44.8%, 95%CI 40.3-49.3), followed by phenotype D, called "non-hyperandrogenic PCOS" (19.5%), phenotype C termed as "ovulatory PCOS" (16.2%), and phenotype B, presenting as phenotype A but without polycystic ovarian morphology (14.9%). In all the studies analysing temporal trends of PCOS, an increase in prevalence of PCOS was reported, due, at least in part, to changing diagnostic criteria. The prevalence of PCOS is similar in European countries and the USA. Interestingly, some differences in the frequency of PCOS phenotypes emerged between the two areas with a higher frequency of phenotype A and a lower one of phenotype C in the USA. Recognizing the factors which explain these differences would lead to a better understanding of the etiopathogenesis and the clinical expression of PCOS.

Increased Prevalence of Elevated DHEAS in PCOS Women with Non-Classic (B or C) Phenotypes: A Retrospective Analysis in Patients Aged 20 to 29 Years.

It is well known that a subgroup of women with PCOS present an excessive adrenal androgen production, generally associated with ovarian hyperandrogenism. In the past, it has been impossible to correlate adrenal hyperandrogenism to any clinical or hormonal pattern of PCOS. However, adrenal androgens are strictly dependent on age and their blood values reduce by 40% in patients moving from their twenties to thirties. Due to this, serum DHEAS values are strongly influenced by the age distribution of studied populations. To avoid this bias, in this study we retrospectively analyzed the clinical and hormonal data of PCOS women in their twenties (age between 20 and 29 years). Data of 648 young hyperandrogenic women with PCOS were evaluated. Serum DHEAS was increased in a third (33%) of studied patients and was associated with higher values of testosterone (T) and androstenedione (A). In each phenotype, patients with high DHEAS had higher values of T and A than patients with normal DHEAS of the same phenotype. Therefore, a DHEAS increase is generally part of a generalized higher androgen production in a subgroup of PCOS patients, independently of the finding of anovulatory or ovulatory cycles or of polycystic or normal ovaries. However, our study showed some important differences between PCOS phenotypes. A lower prevalence of increased DHEAS in A phenotype PCOS patients who generally have the highest androgen levels, versus non-classic (B or C) PCOS phenotypes, was observed. It was also found that patients with A phenotype PCOS present significantly lower BMI and serum insulin than patients with normal DHEAS of the same phenotype while, in patients with the B or C phenotype, the opposite occurs. We conclude that adrenal hyperandrogenism is more common in patients with non-classic (B and C) phenotypes of PCOS and is generally part of a generalized higher production of androgens in a subgroup of PCOS patients. However, other factors may increase the adrenal androgen production and influence the clinical expression of the syndrome. More studies in large, selected for age, populations of PCOS women with different phenotypes are needed.

Comparing Lean and Obese PCOS in Different PCOS Phenotypes: Evidence That the Body Weight Is More Important than the Rotterdam Phenotype in Influencing the Metabolic Status.

Polycystic Ovary Syndrome (PCOS) represents a heterogeneous disorder and, using Rotterdam diagnostic criteria, four main phenotypes (A, B, C, and D) have been distinguished. However, it remains unclear whether lean versus obesity status influences findings in the various phenotypes of women with PCOS. 274 women with PCOS were consecutively assessed. Among these women, there were 149 with phenotype A, 24 with phenotype B, 94 with phenotype C, and 7 with phenotype D. We found normal body weight to be very common (65%) in phenotype C patients, common (43%) in phenotype A and D patients, and less represented (but still 25%) in phenotype B patients. Obesity was common in phenotype B (54%) and phenotype A (33%) patients and uncommon in phenotype C (only 11%) and phenotype D (14%) patients. Obese and lean patients of each phenotype were compared. Compared to the phenotype C PCOS patients, both phenotype A and B patients had higher total testosterone circulating values and higher luteinizing hormone/follicle stimulating hormone (LH/FSH) ratio (p < 0.01) while anti-Mullerian hormone (AMH) levels were higher only in phenotype A PCOS patients. Instead, in the three obese PCOS phenotypes no differences in serum insulin, Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) calculation, and lipid blood values were observed. Analysis of data of lean patients gave similar results. Compared to the phenotype C PCOS patients, both phenotype A and B patients had higher total testosterone circulating values and higher LH/FSH ratio (p < 0.01) while AMH levels were higher only in phenotype A PCOS patients. However, no differences were observed in the circulating insulin levels, HOMA-IR calculation, or blood lipids between the three groups of lean PCOS patients. We conclude that Rotterdam phenotypes express the differences between PCOS patients in terms of ovulatory pattern and androgen secretion but fail to differentiate between obese patients with altered metabolic patterns and lean patients with normal metabolic patterns. A new classification of PCOS patients is needed and it should consider the influence of body weight on the metabolic patterns of PCOS patients.

Need to Introduce the Finding of Obesity or Normal Body Weight in the Current Diagnostic Criteria and in the Classification of PCOS.

The diagnosis of PCOS is based on the Rotterdam guidelines: chronic anovulation, hyperandrogenism (biologic or clinical) and polycystic ovaries on ultrasound. Two of these three criteria are sufficient for making diagnosis of PCOS. However, one characteristic that is often associated to PCOS (obesity with severe insulin resistance and metabolic alteration regarding glucose metabolism and lipid pattern) has remained out of the current classification of PCOS. Because of this, patients with different metabolic and cardiovascular risk may be included in the same phenotype, and it makes more difficult to establish clear strategies of follow-up and treatment of the patients with increased risks, and also may hide genetic or environmental differences between PCOS patients. Our recent study has shown that metabolic alterations are linked to the weight and not to the Rotterdam phenotypes. Because of this, we suggest a new classification of PCOS phenotypes that divides each Rotterdam phenotype in obese (ob) or lean (l) sub-phenotype. An improved classification of PCOS may be essential for permitting new progress in our understanding of pathogenesis and treatment of PCOS (or of the different disorders that are part of PCOS).

Comparison of the different PCOS phenotypes based on monocyte to HDL cholesterol ratio.

In this study, we aimed to evaluate the degree of inflammation in polycystic ovary syndrome (PCOS) phenotypes by comparing the monocyte-to- High-density lipoprotein (HDL) ratios showing inflammatory and oxidative stress among different phenotypes of PCOS. In this case-control study, we studied 186 women with PCOS and 59 age-matched healthy women. PCOS women were prospectively classified into four phenotypes based on NIH Expert Panel criteria. The degree of inflammation between the non-PCOS control group and four PCOS phenotypes was compared by measuring monocyte-to high-density lipoprotein ratio (MHR). The prevalence of phenotypes A, B, C and D were 29%, 22%, 26% and 23%, respectively. MHR was found to be the highest in phenotype A (13.7 ± 4.9) among the PCOS phenotypes and the lowest level was found in phenotype D (9.0 ± 1.9), which is the non-androgenic phenotype. MHR were significantly different across the four PCOS phenotypes; with the highest value were present with phenotype A. As an easily accessible simple marker, the monocyte/HDL ratio may be promising for detecting at-risk metabolic phenotypes in PCOS.IMPACT STATEMENTWhat is already known on this subject? Polycystic ovary syndrome (PCOS) is a syndrome that progresses with chronic inflammation and has long-term effects such as diabetes and cardiovascular risk. The inflammatory process in PCOS has been demonstrated by many parameters.What do the results of this study add? The level of inflammation among PCOS phenotypes in Turkish women was evaluated by the monocyte-to high-density lipoprotein ratio (MHR). Inflammatory cytokines have been studied extensively in the literature comparing PCOS and non-PCOS patients, but studies of inflammatory levels between PCOS phenotypes are rare.What are the implications of these findings for clinical practice and/or further research? Inflammatory status in PCOS is important in terms of disease severity and long-term complications. It is now important to apply a clinical approach, knowing that PCOS is no longer a single syndrome but a difference in phenotypes. In future studies, it is necessary to investigate the phenotypes of patients with PCOS with different inflammatory markers.

Polycystic ovary syndrome phenotype does not have impact on oocyte morphology.

PURPOSE: The primary objective of the present study of women participating in an ICSI program was to determine whether the morphologic quality of oocytes was related to the polycystic ovary syndrome (PCOS) phenotype. METHODS: We performed a retrospective cohort study in the IVF unit at the Lille University Medical Center (Lille, France) between 2006 and 2015. Oocyte morphology (fragmented first polar body, abnormal zona pellucida, large perivitelline space, material in perivitelline space, abnormal shape of oocyte, granular cytoplasm and intracytoplasmic vacuoles) was evaluated in PCOS women and according to different subgroup (depending on the presence or absence of the cardinal features polycystic ovarian morphology (PCOM), hyperandrogenism (HA), and oligo-anovulation (OA)). RESULTS: A total of 1496 metaphase II oocytes (n = 602 for phenotype A combining PCOM + HA + OA, n = 462 oocytes for phenotype C: PCOM + HA, and n = 432 for phenotype D: PCOM + OA) were assessed. The phenotypes A, C and D did not differ significantly with regard to the proportion of normal oocytes (adjusted percentages (95%CI): 35.2% (31.5 to 39.1%), 25.8% (21.9 to 29.9%) and 34.0% (29.7 to 38.6%), respectively: adjusted p = 0.13). Likewise, there were no significant intergroup differences in oocyte morphology. The ICSI outcome was not significantly associated with the PCOS phenotype. CONCLUSION: The present study is the first to show that the PCOS phenotype (notably the presence vs. absence of OA and/or HA) is not significantly associated with the morphological quality of oocytes.

Hyperandrogenic Symptoms Are a Persistent Suffering in Midlife Women with PCOS; a Prospective Cohort Study in Sweden.

Polycystic ovary syndrome (PCOS) is a common endocrine disorder among women, and the majority suffers from hyperandrogenism. Hyperandrogenism causes psychological morbidity and impaired quality of life in women with PCOS during the reproductive years, but data on prevalence and impact during midlife are lacking. Thus, this study aimed to address whether hyperandrogenism persists into midlife and, if so, what impact it has on quality of life. In order to answer this question, we performed a multicenter prospective cohort study, where we included women already diagnosed with PCOS who had reached the age of 45 years or more and age-matched controls. All participants underwent a physical exam, structured medical interview, biochemical testing and filled out self-assessment questionnaires. More than 40% of the women with PCOS and 82% of those who presented with the hyperandrogenic phenotype at the diagnostic work-up still suffered from hirsutism. Circulating testosterone levels were similar between women with PCOS and controls while free androgen index was higher in women with PCOS, independent of weight. Women with hyperandrogenic PCOS expressed persisting concerns regarding hirsutism at the follow-up assessment. In conclusion, women with PCOS who present with hyperandrogenic symptoms at the time they are diagnosed with PCOS have a higher risk of persistent androgenic symptoms and impaired quality of life in midlife.

A Cross-Sectional Study on Potential Ovarian Volume and Related Factors in Women with Polycystic Ovary Syndrome from Infertile Couples.

PURPOSE: This study was designed to explore the value of ovarian volume (OV) measured by transvaginal ultrasound and its relationship with anthropometry and serum hormonal levels in a polycystic ovary syndrome (PCOS) population. PATIENTS AND METHODS: A total of 119 women with PCOS from infertile couples were recruited in this cross-sectional study. On days 2-4 of the menstrual cycle, transvaginal ultrasound examinations were performed, and hormonal profiles were measured. PCOS diagnosis was based on the Rotterdam 2003 criteria and classified into four phenotype groups. The PCOS group (study group) and the non-PCOS group (control group) were compared. RESULTS: The mean age of the participants was 32.66±4.10 years compared to 33.99±4.78 years in 273 cases (69.6%) without PCOS. The mean OV was statistically larger in the PCOS group than in the non-PCOS group (7.65±3.23 mL vs 6.08±3.67 mL, p < 0.001) and positively correlated with serum anti-Mullerian (AMH) and luteinizing hormone (LH) levels (r=0.30; p < 0.001 and r=0.23; p < 0.001, respectively), and weakly and inversely correlated with age (-0.182, p < 0.001). The area under the receiver operating characteristic (ROC) curve of OV in the diagnosis of PCOS was 0.613 (0.557-0.670, 95% CI). CONCLUSION: The enlarged OV is remarkable in women with PCOS and is related to AMH and LH concentrations. Although the diagnostic potential of PCOS is substantially low, OV alone may contribute to predicting the severity of PCOS and better performance for the diagnosis of PCOS phenotypes.

Insulin-Mediated Substrate Use in Women With Different Phenotypes of PCOS: the Role of Androgens.

CONTEXT: Few studies have explored in vivo insulin action on substrate use in women with PCOS. In particular, no data are available in women with different PCOS phenotypes. OBJECTIVE: The aim of the study was to evaluate insulin action on glucose (Gox) and lipid (Lox) oxidation, nonoxidative glucose metabolism (Gnonox), and serum free fatty acids (FFAs) in different PCOS phenotypes. METHODS: Participants included 187 nondiabetic women with PCOS diagnosed according to the Rotterdam criteria. Data from a historical sample of 20 healthy women were used as reference values. Whole-body substrate use data were obtained by the hyperinsulinemic euglycemic clamp associated with indirect calorimetry. Serum androgens were assessed by liquid chromatography-mass spectrometry and equilibrium dialysis. RESULTS: During hyperinsulinemia, the increase of Gox (ΔGox), Gnonox, as well as the suppression of Lox (ΔLox) and serum FFA (Δ% FFA) were altered in each PCOS phenotype. Moreover, Gnonox and Δ% FFA were lower in women with the classic phenotype than in those with the ovulatory or the normoandrogenic phenotypes, and ΔGox was lower in women with the classic than in those with the ovulatory phenotype. In multivariable analysis fat mass and free testosterone were independent predictors of ΔGox, Gnonox, and Δ% FFA, whereas only fat mass predicted ΔLox. CONCLUSION: In women with PCOS, regardless of phenotype, insulin-mediated substrate use is impaired. This phenomenon is greater in individuals with the classic phenotype. Free testosterone plays an independent role in insulin action abnormalities in glucose and lipid metabolism.

Are Dietary Indices Associated with Polycystic Ovary Syndrome and Its Phenotypes? A Preliminary Study.

Polycystic ovary syndrome (PCOS) is a complex hormonal disorder which impairs ovarian function. The adherence to healthy dietary patterns and physical exercise are the first line of recommended treatment for PCOS patients, but it is yet unclear what type of diet is more adequate. In this case-control study, we explored associations between adherence to five dietary quality indices and the presence of PCOS. We enrolled 126 cases of PCOS and 159 controls living in Murcia (Spain). Diagnostic of PCOS and its phenotypes were established following the Rotterdam criteria (hyperandrogenism (H), oligoanovulation (O), polycystic ovaries morphology (POM)). We used a validated food frequency questionnaires to calculate the scores of five dietary indices: alternate Healthy Eating index (AHEI), AHEI-2010, relative Mediterranean Dietary Score (rMED), alternate Mediterranean Dietary Score (aMED) and Dietary Approaches to Stop Hypertension (DASH). We used multivariable logistic regression to estimate adjusted odds ratios and confidence intervals. In the multivariable analysis, AHEI-2010 index was inversely associated with Hyperandrogenism + Oligoanovulation PCOS phenotype (ORQ3 vs. Q1 = 0.1; 95% CI: (0.0; 0.9); Pfor trend = 0.02). We did not find any statistical significant association between dietary indices and total anovulatory or ovulatory PCOS. However, further studies with higher sample sizes exploring these associations among the diverse phenotypes of PCOS are highly warranted.

Comparison of PCOS phenotypes in adolescent and young adult Mediterranean women with possible PCOS.

PURPOSE: During adolescence, PCOS features are supposed to be in evolution. Because of this, the diagnosis of PCOS in adolescence is often unclear and few studies have compared adolescent and adult PCOS phenotype distribution and features. The aim is to compare phenotypes in adolescents and young adults with PCOS. METHODS: 109 girls aged from 13 to 19 years were retrospectively studied. All patients had a gynecological age > 2 years. 63 patients were adolescents (3-5 years beyond menarche) while 46 patients were young adults (6-9 years beyond menarche). Diagnosis of different PCOS phenotypes (A, B, C, D) was made according to the Rotterdam criteria. Clinical data (menstrual cycles, BMI, presence of hirsutism), androgen circulating levels (total testosterone, androstenedione, dehydroepiandrosterone sulphate) and ovarian morphology by ultrasound were assessed. RESULTS: 109 patients presented PCOS according to the Rotterdam criteria. Phenotype A was by far the most common phenotype (73.4%) followed by phenotype B (21.1%). Only few patients had phenotype C (4.6%) or phenotype D (0.9%). When patients were divided in two groups (adolescent and young adult patients), no significant difference in prevalence and features of the different phenotypes was observed. CONCLUSION: In this cohort of adolescent and young adult women with PCOS, the progression of age does not change the prevalence and the features of main PCOS phenotypes. It suggests that the Rotterdam criteria might be used also in adolescents, at least in those with 2 or more years of gynecological age, for the diagnosis of PCOS.

Polycystic Ovarian Syndrome: Association of Phenotypes with Prediabetes and Diabetes Mellitus Type 2, a Cross-Sectional study

Introduction@#Polycystic ovarian syndrome (PCOS) has been recognized as a risk factor for metabolic dysfunction. The objective of this study was to determine the association of each PCOS phenotype with the risk for prediabetes and diabetes mellitus (DM).@*Methods@#This was a cross-sectional study by chart review of PCOS patients classified into 4 phenotypes, who consulted at outpatient clinics in Makati Medical Center. Odds ratio using logistic regression was used to determine association between the PCOS phenotype and having prediabetes or DM Type 2.@*Results@#One hundred thirty-four records of eligible females diagnosed with PCOS classified as Phenotype D (52%), Phenotype A (22%), Phenotype C (19%) and Phenotype B (7.5%), were included. Pre-diabetes was diagnosed in 39.6%, and DM type 2 in 7.5% of the women. Univariate association of phenotype and outcome revealed that DM is significantly more common among phenotypes A and D while prediabetes is significantly most common among phenotype D. However, multivariate regression did not show any positive association between phenotypes and risk for prediabetes and DM.@*Conclusion@#Phenotypes A and C were significantly negatively associated with the risk of prediabetes or DM type 2. Obesity and abdominal adiposity were aggravating factors that increased metabolic risk.