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

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.

Biomarkers in Polycystic Ovary Syndrome

Polycystic Ovary Syndrome (PCOS) is the most common endocrine disorder in reproductive-age women. PCOS is diagnosed by the presence of two of the following three characteristics: hyperandrogenemia and/or hyperandrogenism, oligo/amenorrhea, and polycystic ovarian morphology. PCOS is associated with reproductive and non-reproductive complications, including obesity, insulin resistance and diabetes, dyslipidemia, and increased blood pressure. There is an urgent need for biomarkers that address both the reproductive and non-reproductive aspects of this complex syndrome. This review focuses on biomarkers, or potential ones, associated with the reproductive and non-reproductive aspects of PCOS, including anthropometric and clinical biomarkers, insulin and the IGF-1 system, lipids, anti-Müllerian hormone and gonadotropins, steroids, inflammatory and renal injury biomarkers, oxidative stress, and non-coding RNAs. We expect that this review will bring some light on the recent updates in the field and encourage researchers to join the exciting and promising field of PCOS biomarkers.

Association of insulin resistance with polycystic ovary syndrome phenotypes and patients' characteristics: a cross-sectional study in Iran

BACKGROUND

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women. This disorder affects 6-15% of women of childbearing age worldwide. It is diagnosed with hyperandrogenism, polycystic ovaries, and chronic anovulation with insulin resistance. This study aimed to assess the prevalence of insulin resistance (IR) in 4 phenotypes of PCOS, and its relationship with demographic, clinical, and paraclinical individual characteristics in a sample of Iranian PCOS patients.

METHODS

This particular cross-sectional investigation involved 160 female participants, aged between 18 and 45 years, who were receiving care at gynecology clinics in Urmia, northwestern Iran. All the participants had been diagnosed with PCOS and were categorized into one of four phenotypes. All the participants underwent clinical evaluations, paraclinical assessments, and ultrasound scans. IR was defined as HOMA-IR > 2.5. The statistical significance level was 0.05.

RESULTS

Among the 160 participants, the prevalences of the 4 phenotypes were: A: 83 (51.9%), B: 37 (23.1%), C: 21 (13.1%), and D: 19 (11.9%). IR was detected in 119 participants (74.4%); its rate was significantly different between the 4 phenotypes (p-value: 0.008) as A: 62 (74.7%), B: 34 (91.9%), C: 12 (57.1%), D: 11 (57.9%). Linear and logistic regression analyses were performed to control confounding factors. In linear regression, PCOS phenotype, classic phenotype (A&B), economic status, and Hb levels were significantly related to HOMA-IR; in logistic regression Hb levels, exercise, economic status, and PCOS phenotypes were significantly associated with insulin resistance.

CONCLUSIONS

The most prevalent PCOS phenotype in this study was A. PCOS phenotypes were significantly related to insulin resistance and HOMA-IR, with the highest levels of insulin resistance and HOMA-IR observed in phenotype B. Determining the phenotype of PCOS may be helpful for better management of PCOS and its associated complications. However, further investigations are recommended in this regard.

Effects of Sitagliptin on Metabolic Indices and Hormone Levels in Polycystic Ovary Syndrome: a Meta-analysis of Randomized Controlled Trials

To evaluate the effects of sitagliptin on the metabolic indices and hormone levels in patients with polycystic ovary syndrome (PCOS). PubMed, EMBASE, Web of Science, Cochrane Library, WanFang Data, and China National Knowledge Infrastructure (CNKI) were searched for randomized controlled trials (RCTs) published up to March 2022. Eligible studies were identified based on the inclusion criteria. The primary outcomes included the homeostasis model assessment of insulin resistance (HOMA-IR), body mass index (BMI), and total testosterone level (TT). Other outcomes included levels of sex hormones, glucose, and lipid metabolism. Forty-five studies were initially identified, and 6 RCTs with 394 patients were finally included in this study. The meta-analysis results suggest that sitagliptin improved HOMA-IR (WMD =  - 0.35; 95% CI (- 0.62, - 0.08); P = 0.01), BMI (WMD =  - 1.27; 95% CI (- 1.76, - 0.77); P < 0.00001), TT (SMD =  - 0.66; 95% CI (- 1.25, - 0.07); P = 0.03), and HDL-C (SMD = 0.11; 95% CI (0.03, 0.18); P = 0.005). No significant differences were observed between the sitagliptin and control groups in other outcomes and in terms of adverse events. Evidence from meta-analyses suggests that sitagliptin was superior in improving insulin sensitivity, total serum testosterone, high-density lipoprotein, and body mass index. However, due to the limitations of published studies, it is difficult to draw a definite conclusion. Larger, higher-quality studies are needed to evaluate the efficacy of sitagliptin in women with PCOS.

The Prevalence of Polycystic Ovary Syndrome, Its Phenotypes and Cardio-Metabolic Features in a Community Sample of Iranian Population: Tehran Lipid and Glucose Study

Objectives

The 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.

Methods

In 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.

Results

The 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.

Conclusion

PCOS, 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.

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.

Lipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome

BACKGROUND

Insulin resistance (IR) is common in women with polycystic ovary syndrome (PCOS). Metabolic syndrome (MS) involves IR, arterial hypertension, dyslipidemia, and visceral fat accumulation. Therefore, fatness indices and blood lipid ratios can be considered as screening markers for MS. Our study aimed to evaluate the predictive potential of selected indirect metabolic risk parameters to identify MS in PCOS.

METHODS

This cross-sectional study involved 596 women aged 18-40 years, including 404 PCOS patients diagnosed according to the Rotterdam criteria and 192 eumenorrheic controls (CON). Anthropometric and blood pressure measurements were taken, and blood samples were collected to assess glucose metabolism, lipid parameters, and selected hormone levels. Body mass index (BMI), waist-to-height ratio (WHtR), homeostasis model assessment for insulin resistance index (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides-to-HDL cholesterol ratio (TG/HDL-C) were calculated. MS was assessed using the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria.

RESULTS

MS prevalence was significantly higher in PCOS versus CON. Patients with both MS and PCOS had more unfavorable anthropometric, hormonal, and metabolic profiles versus those with neither MS nor PCOS and versus CON with MS. LAP, TG/HDL-C, VAI, and WHtR were the best markers and strongest indicators of MS in PCOS, and their cut-off values could be useful for early MS detection. MS risk in PCOS increased with elevated levels of these markers and was the highest when TG/HDL-C was used.

CONCLUSIONS

LAP, TG/HDL-C, VAI, and WHtR are representative markers for MS assessment in PCOS. Their predictive power makes them excellent screening tools for internists and enables acquiring accurate diagnoses using fewer MS markers.

Metabolic Syndrome and PCOS: Pathogenesis and the Role of Metabolites

Polycystic ovary syndrome (PCOS) is one of the most common endocrine diseases among women of reproductive age and is associated with many metabolic manifestations, such as obesity, insulin resistance (IR) and hyperandrogenism. The underlying pathogenesis of these metabolic symptoms has not yet been fully elucidated. With the application of metabolomics techniques, a variety of metabolite changes have been observed in the serum and follicular fluid (FF) of PCOS patients and animal models. Changes in metabolites result from the daily diet and occur during uncommon physiological routines. However, some of these metabolite changes may provide evidence to explain possible mechanisms and new approaches for prevention and therapy. This article reviews the pathogenesis of PCOS metabolic symptoms and the relationship between metabolites and the pathophysiology of PCOS. Furthermore, the potential clinical application of some specific metabolites will be discussed.

ADAMTS proteoglycanases downregulation with impaired oocyte quality in PCOS

OBJECTIVE

A disintegrin and metalloproteinase with thrombospondin motifs 4 (ADAMTS-4) and ADAMTS-5 normal expression levels are essential for ovulation and subsequent fertilization. The objective of the present study was to assess expression pattern of these genes in cumulus cells (CCs) taken from patients with polycystic ovary syndrome (PCOS) and to investigate any possible relationship with the oocyte quality.

METHODS

ADAMTS-4 and -5 expression levels within CCs containing oocytes at the metaphase II (MII) and germinal vesicle (GV) stages, taken from 35 patients with PCOS and 35 women with normal ovarian function, were investigated using RT-qPCR. Moreover, possible correlations between ADAMTS-4, ADAMTS-5, and progesterone receptors (PRs) expression as well as oocyte quality were evaluated.

RESULTS

ADAMTS-4 and -5 expression levels were dramatically diminished in the CCs of the PCOS patients when compared to the controls. ADAMTS-4 and -5 expression levels were correlated with each other and with the oocyte quality. Furthermore, lower expression levels of ADAMTS-4 and -5 in the PCOS patients were strongly correlated with the diminished PRs expression levels.

CONCLUSION

Downregulation of ADAMTS-4 and -5 in the human CCs of the PCOS patients correlated with the decline in the PRs expression, and impaired oocyte quality may cause lower oocyte recovery, maturation, and fertilization rate.

Infertility, Infertility Treatment and Cardiovascular Disease: An Overview

The prevalence of maternal cardiovascular disease (CVD) has risen throughout the developed world, reflecting an increase in acquired cardiovascular risk factors, such as hypertension and diabetes, and the improved life expectancy of those living with congenital CVD due to advances in care. Because many cardiovascular risk factors or cardiovascular conditions are associated with infertility, reproductive-aged women with CVD may increasingly seek reproductive assistance. The worldwide use of assisted reproductive technologies (ART), such as in-vitro fertilization (IVF) with or without intracytoplasmic sperm injection, or intrauterine insemination following pharmacological ovulation induction have increased steadily over the last several decades. It is incumbent among providers who care for reproductive-aged women with pre-existing CVD or CVD risk factors to understand and appreciate the types of treatments offered and inherent risks related to infertility treatments, in order to guide their patients to making safe reproductive choices in line with their values and preferences. While infertility treatments increase the risk of complicated pregnancy, whether these risks are compounded among individuals with pre-existing CVD is less well known. In this review, we summarize current available evidence regarding short-term and long-term cardiovascular implications of ART among individuals with and without CVD, as well as treatment considerations for these women. Existing knowledge gaps and priority areas for further study are presented.

The Accuracy of Visceral Adiposity Index for the Screening of Metabolic Syndrome: A Systematic Review and Meta-Analysis

BACKGROUND AND AIMS

Visceral adiposity index (VAI) is a novel marker of fat distribution and function which incorporates both anthropometric and laboratory measures. Recently, several studies have suggested VAI as a screening tool for metabolic syndrome (MetS). Here, we aimed to consolidate the results of these studies by performing a systematic review and meta-analysis.

METHODS AND RESULTS

We searched PubMed and EMBASE online databases for eligible studies that investigated the association of VAI and MetS. After reviewing 294 records, we included 33 eligible papers with a sum of 20516 MetS and 53242 healthy participants. The risk of bias in the included studies was assessed, and the relevant data was extracted. All included studies reported a significant association between VAI and MetS screening, but were highly heterogeneous in their reported effects. We pooled the diagnostic test accuracy metrics of VAI for MetS screening and showed that it has a moderate-to-high accuracy with an area under the summary receiver operating characteristics curve of 0.847, a pooled sensitivity of 78%, and a pooled specificity of 79%. Besides, we pooled the difference in means of VAI between patients with MetS and healthy controls, revealing that VAI was 2.15 units higher in MetS patients.

CONCLUSIONS

VAI is an accurate, low-cost, and widely available screening marker for MetS. However, further studies are needed to evaluate its applicability in clinical practice, determine an optimal cut-off, and identify populations that would benefit the most from it.

Long-term cardiometabolic disease risk in women with PCOS: a systematic review and meta-analysis

BACKGROUND

Polycystic ovary syndrome (PCOS) is associated with cardiometabolic disease, but recent systematic reviews and meta-analyses of longitudinal studies that quantify these associations are lacking.

OBJECTIVE AND RATIONALE

Is PCOS a risk factor for cardiometabolic disease?

SEARCH METHODS

We searched from inception to September 2019 in MEDLINE and EMBASE using controlled terms (e.g. MESH) and text words for PCOS and cardiometabolic outcomes, including cardiovascular disease (CVD), stroke, myocardial infarction, hypertension (HT), type 2 diabetes (T2D), metabolic syndrome and dyslipidaemia. Cohort studies and case–control studies comparing the prevalence of T2D, HT, fatal or non-fatal CVD and/or lipid concentrations of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TGs) between women with and without PCOS of ≥18 years of age were eligible for this systematic review and meta-analysis. Studies were eligible regardless of the degree to which they adjusted for confounders including obesity. Articles had to be written in English, German or Dutch. Intervention studies, animal studies, conference abstracts, studies with a follow-up duration less than 3 years and studies with less than 10 PCOS cases were excluded. Study selection, quality assessment (Newcastle–Ottawa Scale) and data extraction were performed by two independent researchers.

OUTCOMES

Of the 5971 identified records, 23 cohort studies were included in the current systematic review. Women with PCOS had increased risks of HT (risk ratio (RR): 1.75, 95% CI 1.42 to 2.15), T2D (RR: 3.00, 95% CI 2.56 to 3.51), a higher serum concentration of TC (mean difference (MD): 7.14 95% CI 1.58 to 12.70 mg/dl), a lower serum concentration of HDL-C (MD: −2.45 95% CI −4.51 to −0.38 mg/dl) and increased risks of non-fatal cerebrovascular disease events (RR: 1.41, 95% CI 1.02 to 1.94) compared to women without PCOS. No differences were found for LDL-C (MD: 3.32 95% CI −4.11 to 10.75 mg/dl), TG (MD 18.53 95% CI −0.58 to 37.64 mg/dl) or coronary disease events (RR: 1.78, 95% CI 0.99 to 3.23). No meta-analyses could be performed for fatal CVD events due to the paucity of mortality data.

WIDER IMPLICATIONS

Women with PCOS are at increased risk of cardiometabolic disease. This review quantifies this risk, which is important for clinicians to inform patients and to take into account in the cardiovascular risk assessment of women with PCOS. Future clinical trials are needed to assess the ability of cardiometabolic screening and management in women with PCOS to reduce future CVD morbidity.

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.

Impact of Buzhong Yiqi Prescription on the Gut Microbiota of Patients with Obesity Manifesting Polycystic Ovarian Syndrome

Gut microbiota disorders are closely related to polycystic ovarian syndrome (PCOS). Buzhong Yiqi prescription (BZYQ) has a significant clinical effect on the treatment of patients with obesity exhibiting PCOS and phlegm-dampness syndrome caused by spleen deficiency (SPSD). Hence, this study aimed to explore gut microbiota and fecal metabolite alterations in such patients treated with BZYQ. Fifty eligible patients with obesity manifesting PCOS and SPSD participated and agreed to undergo 3 months of BZYQ treatment. Results showed that BZYQ significantly alleviated the serum dehydroepiandrosterone sulfate (p < 0.001) and testosterone levels (p < 0.001) and markedly changed the gut microbiota structure in these patients. Furthermore, 106 differential fecal metabolites and 14 KEGG enrichment pathways were quantified. The phylum Spirochaetae and the genera [Eubacterium]_rectale_group, Escherichia-Shigella, and Fusicatenibacter were significantly more abundant, but Megamonas was significantly less abundant after treatment than before treatment. Disorders in the gut microbiota and fecal metabolites of these patients were closely related to hyperandrogenemia and insulin resistance. In conclusion, BZYQ could ameliorate the serum androgen level and had an impact on the gut microbiota and metabolites in patients with obesity manifesting PCOS and SPSD.

Elucidating the impact of obesity on hormonal and metabolic perturbations in polycystic ovary syndrome phenotypes in Indian women

Polycystic ovary syndrome is a complex endocrinopathy with heterogeneous presentation and multifactorial etiology. We have undertaken this case-control study to compare metabolic and endocrine characteristics in different phenotypic subgroups of women with PCOS and the impact of obesity on them. Women with PCOS (n = 489) were classified into 4 phenotypes according to Rotterdam criteria. Comparisons of clinical, biochemical and hormonal parameters were performed across all phenotypic groups of PCOS and with controls (n = 270) by Welch’s ANOVA with subsequent Games-Howell post-hoc test. We found maximum prevalence of normoandrogenic phenotype D, which is milder form of PCOS in terms of insulin resistance, gonadotropin levels and dyslipidemia, followed by phenotype A, in our total study population. After classification of the study group into lean and obese groups, only few insulin and lipid-related traits showed marked differences between phenotypes. Further, we noted that obese women showed adverse metabolic but not androgenic traits compared to lean counterparts in the same phenotype. Metabolic syndrome frequency is increased in hyperandrogenic phenotypes with HDL-C and waist circumference being most predominant contributing factors in total, lean and obese groups. We demonstrate that in our study population there is greater occurrence of phenotype D of PCOS. Our study highlights the importance of clinicians concurrently employing Rotterdam criteria along with obesity status for ascertaining accurate PCOS status and formulating suitable therapeutic intervention.

Comparison of metabolic and obesity biomarkers between adolescent and adult women with polycystic ovary syndrome

PURPOSE

Knowledge of adolescent and adult phenotypes of women with polycystic ovary syndrome (PCOS) might drive opportune management. The aim of this study was to compare metabolic and obesity biomarkers between adolescent and adult women with PCOS.

METHODS

This observational study compared biomarkers of obesity and metabolism derangements between adolescent (n = 62) and adult (n = 248) women with PCOS. Predictors of metabolic syndrome (MS) were investigated using univariate and multivariate binary logistic regression analysis.

RESULTS

The postmenarcheal age of adolescents was 4.9 ± 0.03 years. Systolic blood pressure was lower in adolescents than in adults (112.3 mmHg vs 117.0 mmHg, p = 0.001) Diastolic blood pressure was also lower in adolescents (70.7 mmHg vs 75.8 mmHg, p < 0.001). Glucose intolerance (12.0% vs 19.3%) and insulin resistance (18.2% vs 17.7%) were similar in both groups (p > 0.05, for comparisons). Impaired fasting glucose was lower in adolescents (1.8% vs 11.6%, p = 0.015). Total cholesterol and low-density lipoprotein cholesterol were lower in adolescents (p < 0.001). MS in adolescents and adults were found in 10.3% and 27.8%, respectively (p = 0.005). Visceral adiposity index (VAI) was a good predictor of MS in both adolescents (OR = 12.2), and adults (OR = 9.7).

CONCLUSIONS

Most biomarkers of glucose metabolism abnormalities were similar in adolescents and adults with PCOS. The prevalence of MS was lower in adolescents. VAI was a strong predictor of metabolic syndrome, both in adolescent and adult women with PCOS.

Human immunodeficiency: Extragonadal comorbidities of infertility in women

Introduction

Infertility is mediated by several changes system‐wide. These changes are likely to cause other systems‐related pathologies, such as changes in systemic immune response, particularly inflammatory response can lead to cardiovascular diseases and breast cancer.

Methods

These morbidities can exist immediately or years after the diagnosis of infertility. Therefore, understanding the mechanism is important to move toward therapeutic interventions.

Results

Several extragonadal pathologies are reported due to infertility, as well as, how these might also contribute to reproductive disabilities. Detailed evidence are still not present that can give stronger result.

Conclusion

This review highlights some of the most frequent comorbidities that are seen in infertile women, hence requiring a need for complete clinical screening and care, as well as diagnosis and treatment in early stages.

The prevalence of metabolic syndrome in patients with polycystic ovary syndrome: A systematic review and meta-analysis

INTRODUCTION

Polycystic ovary syndrome (PCOS) is an endocrinopathy with unknown pathophysiology among women of reproductive age. Several studies have been conducted to determine the prevalence of metabolic syndrome (MetS) among PCOS patients. However, the results were contradictory. The present study was conducted to evaluate the prevalence of MetS in PCOS patients using the related published data.

METHOD

The present systematic review was perfumed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The search was done using MeSH keywords in databases of PubMed, Scopus, Embase, CINAHL, Web of Science, Cochrane Library, EBSCO, and Google scholar search engine as well as the reference list of the retrieved papers without time limit until October 2018. We used Cochran's Q test and I² Index to evaluate the heterogeneity among the studies and the random effects model was used to combine the results. Data analysis was performed using Stata ver. 11.1.

RESULTS

Forty six studies including 8946 patients with PCOS were included in the final analysis. Total heterogeneity was high (I²: 91.43%, P < 0.001). The prevalence of MetS in PCOS patients was estimated to be 30% (95%CI: 27-33). Subgroup analysis based on MetS diagnostic criteria showed an estimated prevalence of 0.27% (95%CI: 0.18-0.37), 0.30% (95%CI: 0.27-0.34), 0.32 (95%CI: 0.25-0.39), 0.32 (95%CI: 0.27-0.37) and 0.24 (95%CI: 0.14-0.34) for IDF, NECP-ATPIII, AHA NHLBI, CDS, and unknown criteria, respectively.

CONCLUSION

Considering the prevalence of MetS in PCOS patients, diagnosis of MetS in PCOS patients is necessary to reduce the mortality and morbidity rates.

Levels of circulating insulin cell-free DNA in women with polycystic ovary syndrome - a longitudinal cohort study

BACKGROUND

Women with Polycystic Ovary Syndrome (PCOS) present a heterogeneous reproductive and metabolic profile with an increased lifetime risk of Type 2 Diabetes (T2D). Early biomarkers of these metabolic disturbances in PCOS women have not been identified. The abundance of circulating insulin gene promotor cell-free DNA (INS cfDNA) was shown to be valuable as a predictive biomarker of β-cell death in individuals with Type 1 diabetes (T1D) as well as with gestational diabetes. Since β-cell death is common to the development of T1D as well as in T2D, we aimed to investigate if insulin-coding DNA is more abundant in circulation of PCOS women (vs Controls) and if their levels change after 6 yr. follow-up as a potential measure to predict future T2D.

METHODS

A cohort of 40 women diagnosed with PCOS according to Rotterdam 2003 criteria and eight healthy controls were examined at baseline and 6 years follow-up. Clinical measurements for evaluation of glucose homeostasis as well as blood/serum samples were obtained at each visit. Methylated and unmethylated INS cfDNA were quantified using droplet digital PCR. Differences between groups were assessed using Kruskall-Wallis test and Wilcoxon Signed rank test.

RESULTS

At baseline, there was no detectable difference in copy number (copies/μL) of methylated (p = 0.74) or unmethylated INS cfDNA (p = 0.34) between PCOS and Control groups. At follow up, neither methylated (p = 0.50) nor unmethylated INScfDNA levels (p = 0.48) differed significantly between these groups. Likewise, when pooling the groups, there was no difference between baseline and follow up, in terms of copies of methylated or unmethylated INS cfDNA (p = 0.38 and p = 0.52, respectively). There were no significant correlations between counts of unmethylated or methylated cfDNA and the clinical measurements of β-cell function and pre-diabetes.

CONCLUSION

The circulating level of unmethylated and methylated INScfDNA is similar between PCOS and Controls and cannot be used to predict islet β-cell loss and progression to Type 2 diabetes in a 6-year follow-up.

TRIAL REGISTRATION

The Danish Data Protection Agency (REG-31-2016. Approval: 01-12-2015) and by the Danish Scientific Ethical committee of Region Zealand (Journal no. SJ-525. Approval: 13-06-2016), Clinicaltrials.gov, ( NCT03142633 , registered 1. March, 2017, Retrospectively registered).

Establishing an Anti-Müllerian Hormone Cutoff for Diagnosis of Polycystic Ovarian Syndrome in Women of Reproductive Age-Bearing Indian Ethnicity Using the Automated Anti-Müllerian Hormone Assay

Context:

Polycystic ovary syndrome diagnosed by Rotterdam criteria, is the most common cause of anovulatory infertility. The criteria of polycystic ovarian morphology (PCOM) are subject to operator variability and technological advances. Serum anti-Müllerian hormone (AMH) level has been proposed as a more reliable alternative to antral follicle count. There is a paucity of data on use of AMH for diagnosis of PCOS in Indian women.

Aim and Objectives:

The aim of this study is to determine a cutoff level for AMH that could facilitate diagnosis of PCOS and its phenotypes in women of Indian origin using the automated (Roche) assay and to compare the competence of oocytes in PCOS and non-PCOS women undergoing in vitro fertilization-intracytoplasmic sperm injection (IVF-ICSI).

Materials and Methodology:

A total of 367 women undergoing treatment at our fertility center between February 2017 and August 2017 were prospectively enrolled in this study. Of these, 133 were diagnosed with PCOS, 69 had isolated PCOM, and 165 (controls) had normal ovaries on ultrasound examination. Serum AMH levels were assessed using the fully automated Roche Elecsys^® immunoassay. Gonadotropin-releasing hormone antagonist protocol was used for IVF-ICSI in all patients.

Statistical Analysis Used:

Quantitative variables were compared using the Mann–Whitney test. Qualitative variables were correlated using the Chi-square test. P < 0.05 was considered to be statistically significant.

Results:

Mean AMH concentrations in women with PCOS was higher (7.56 ± 4.36 ng/mL) in comparison to PCOM and controls. Serum AMH concentration >5.03 ng/mL could facilitate diagnosis of PCOS (area under the curve = 0.826); sensitivity –70.68%, specificity of 79.91%. There was no difference in the ratio of mature to total oocytes retrieved in the three groups (P > 0.05). Mean number of mature oocytes was lower in controls than PCOS and PCOM (P < 0.001).

Conclusions:

Serum AMH concentration >5.03 ng/mL could be used as cutoff value for the diagnosis of PCOS in women of Indian origin.

Cardiometabolic risk in polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a common disorder in women of reproductive age. Besides hyperandrogenism, oligomenorrhea and fertility issues, it is associated with a high prevalence of metabolic disorders and cardiovascular risk factors. Several genetic polymorphisms have been identified for possible associations with cardiometabolic derangements in PCOS. Different PCOS phenotypes differ significantly in their cardiometabolic risk, which worsens with severity of androgen excess. Due to methodological difficulties, longer time-scale data about cardiovascular morbidity and mortality in PCOS and about possible beneficial effects of different treatment interventions is missing leaving many issues regarding cardiovascular risk unresolved.

Association of metabolic syndrome and change in Unified Parkinson's Disease Rating Scale scores

OBJECTIVE

To explore the association between metabolic syndrome and the Unified Parkinson's Disease Rating Scale (UPDRS) scores and, secondarily, the Symbol Digit Modalities Test (SDMT).

METHODS

This is a secondary analysis of data from 1,022 of 1,741 participants of the National Institute of Neurological Disorders and Stroke Exploratory Clinical Trials in Parkinson Disease Long-Term Study 1, a randomized, placebo-controlled trial of creatine. Participants were categorized as having or not having metabolic syndrome on the basis of modified criteria from the National Cholesterol Education Program Adult Treatment Panel III. Those who had the same metabolic syndrome status at consecutive annual visits were included. The change in UPDRS and SDMT scores from randomization to 3 years was compared in participants with and without metabolic syndrome.

RESULTS

Participants with metabolic syndrome (n = 396) compared to those without (n = 626) were older (mean [SD] 63.9 [8.1] vs 59.9 [9.4] years; p < 0.0001), were more likely to be male (75.3% vs 57.0%; p < 0.0001), and had a higher mean uric acid level (men 5.7 [1.3] vs 5.3 [1.1] mg/dL, women 4.9 [1.3] vs 3.9 [0.9] mg/dL, p < 0.0001). Participants with metabolic syndrome experienced an additional 0.6- (0.2) unit annual increase in total UPDRS (p = 0.02) and 0.5- (0.2) unit increase in motor UPDRS (p = 0.01) scores compared with participants without metabolic syndrome. There was no difference in the change in SDMT scores.

CONCLUSIONS

Persons with Parkinson disease meeting modified criteria for metabolic syndrome experienced a greater increase in total UPDRS scores over time, mainly as a result of increases in motor scores, compared to those who did not. Further studies are needed to confirm this finding.

CLINICALTRIALSGOV IDENTIFIER

NCT00449865.

Association of polycystic ovary syndrome with metabolic syndrome and gestational diabetes: Aggravated complication of pregnancy

Polycystic ovary syndrome (PCOS) affects 5–20% of the reproductive age women globally. PCOS is diagnosed by the presence of hyperandrogenism, oligo-anovulation, and polycystic morphology of at least one ovary. Insulin resistance (IR), hyperinsulinemia and associated metabolic abnormalities including metabolic syndrome play a significant role in the development of PCOS. The chances of developing MS in PCOS women was shown to increase by almost 14-fold in patients with increasing body mass index. Even in the absence of overt obesity, a preferential deposition of intra-abdominal fat is noted in PCOS women and this intra-abdominal fat leads to impaired insulin action and functional IR and hyperandrogenism. Functional ovarian hyperandrogenism of ovaries was suggested to be a consequence of IR, which activates androgen synthesizing enzyme, cytochrome p450-c17α-hydroxylase, in ovarian theca cells and causes elevated oxidative stress accompanied by lower antioxidant status in ovaries, which contribute to PCOS pathogenesis. The elevated levels of luteinizing hormone that accompany the early stages of hyperandrogenemia, accelerate ovarian functional deterioration, which is further aggravated by hyperinsulinemia, in PCOS women. The risk of developing gestational diabetes in PCOS women is approximately three times greater, as compared to non-PCOS women, due to IR and hyperinsulinemia. Typical insulin-sensitizing drugs such as metformin, have been used to curtail IR and hyperinsulinemia in pregnant PCOS women, with varying results indicating the complexity of the disease and the need for better controlled studies and additional efforts for PCOS-specific drug discovery.

Visceral adiposity index levels in overweight and/or obese, and non-obese patients with polycystic ovary syndrome and its relationship with metabolic and inflammatory parameters

BACKGROUND

Visceral adiposity index (VAI) is a proposed parameter to evaluate visceral obesity instead of waist circumference (WC) in patients with polycystic ovary syndrome (PCOS). We aimed to evaluate VAI levels in overweight and/or obese, and non-obese PCOS patients and investigate the association between metabolic and inflammatory parameters.

METHODS

Seventy-six PCOS patients between 18 and 40, and 38 age- and BMI-matched controls were enrolled into the study. Both PCOS groups and controls were classified into two subgroups according to body mass index (BMI) <25 and ≥25 kg/m².

RESULTS

In PCOS patients, waist/hip ratio (WHR) (p = 0.023), diastolic blood pressure (DBP) (p = 0.001), insulin (p = 0.011), homeostasis of model assessment (HOMA-IR) (p = 0.006) and uric acid (UA) (p = 0.002) were higher than controls. In overweight and/or obese PCOS group, DBP (p < 0.001), insulin (p = 0.002), HOMA-IR (p = 0.001), triglyceride (p = 0.015) and VAI (p = 0.031) were higher than overweight and/or obese controls. In non-obese PCOS group, WHR (p = 0.016), WC (p = 0.030), DBP (p = 0.010) and UA (p < 0.001) were higher than non-obese controls. Similar VAI levels were found in all PCOS and non-obese PCOS subgroups than peer controls. Overweight and/or obese PCOS group had higher VAI levels than non-obese PCOS group (p < 0.001). VAI levels were positively correlated with WHR, glucose, HOMA-IR, high-sensitive CRP and UA in PCOS group. In controls, VAI levels were positively correlated with WHR, insulin and HOMA-IR.

CONCLUSION

We found that VAI levels were higher in overweight and/or obese PCOS patients compared to peer controls and non-obese PCOS patients, and associated with some metabolic and inflammatory parameters.

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.

Metabolic consequences of obesity and insulin resistance in polycystic ovary syndrome: diagnostic and methodological challenges

Women with polycystic ovary syndrome (PCOS) have a considerable risk of metabolic dysfunction. This review aims to present contemporary knowledge on obesity, insulin resistance and PCOS with emphasis on the diagnostic and methodological challenges encountered in research and clinical practice. Variable diagnostic criteria for PCOS and associated phenotypes are frequently published. Targeted searches were conducted to identify all available data concerning the association of obesity and insulin resistance with PCOS up to September 2016. Articles were considered if they were peer reviewed, in English and included women with PCOS. Obesity is more prevalent in women with PCOS, but studies rarely reported accurate assessments of adiposity, nor split the study population by PCOS phenotypes. Many women with PCOS have insulin resistance, though there is considerable variation reported in part due to not distinguishing subgroups known to have an impact on insulin resistance as well as limited methodology to measure insulin resistance. Inflammatory markers are positively correlated with androgen levels, but detailed interactions need to be identified. Weight management is the primary therapy; specific advice to reduce the glycaemic load of the diet and reduce the intake of pro-inflammatory SFA and advanced glycation endproducts have provided promising results. It is important that women with PCOS are educated about their increased risk of metabolic complications in order to make timely and appropriate lifestyle modifications. Furthermore, well-designed robust studies are needed to evaluate the mechanisms behind the improvements observed with dietary interventions.

Plasma L-carnitine levels of obese and non-obese polycystic ovary syndrome patients

It is well-known that plasma L-carnitine concentrations are significantly decreased in obese individuals. A study showed that L-carnitine concentrations are significantly lower in lean PCOS patients than in lean healthy women. Thus, it has been suggested that lowered L-carnitine is associated with PCOS. This study also showed that the women with PCOS had significantly lower L-carnitine levels than those of the healthy controls. In addition, this study hypothesised that low L-carnitine levels in PCOS patients were associated with obesity and/or insulin resistance. Moreover, plasma L-carnitine concentrations were found to be statistically similar in PCOS patients and healthy controls, when controlled for obesity. This study implied that L-carnitine could be used as an adjunctive therapy in the management of insulin resistance or obesity in women who have PCOS. Further research might be planned to clarify the clinical effects of L-carnitine administration in PCOS patients with insulin resistance and/or obesity.