Metabolic aspects of different phenotypes of polycystic ovary syndrome: Iranian PCOS Prevalence Study

A Review on Acupuncture Efficiency in Human Polycystic Ovary/Ovarian Syndrome

Objectives

Human Polycystic Ovary/Ovarian Syndrome (PCOS), a frequent endocrine pathophysiology among women of fertile age, is associated with woman's lifespan endocrine, metabolic and psychological implications. Long-term usage side effects of allopathic strategies and their low efficacy made complementary medicine treatments a relevant subject for these patients. The main aim of this work is to review the efficiency of the acupuncture treatment reported in the latest studies on literature regarding PCOS patients.

Methods

A comprehensive literature search, in English language, about the use of acupuncture on the management of PCOS, was conducted in October 2020 using EBSCO, Cochrane, PubMed, Medline, Embase, databases for randomised and non-randomised controlled trials between 2015 and 2020 (09/2015-10/2020), following the PRISMA protocol.

Results

This research led us to an analysis, according to PICOS, of six final papers selected among 178 in total. The articles addressed distinct aspects of the PCOS condition, diverse acupuncture techniques and different main and secondary outcomes in agreement to the respective main objective. According to this review, acupuncture seems to be useful for the treatment of this debilitating and chronic health condition which affects millions of women worldwide, many of them part of the workforce in their community.

Conclusion

Despite of the display of these positive results addressing acupuncture treatments to manage PCOS major symptoms - whether they are reproductive, metabolic, or mental health features - more research is urgent. Randomized, double blinded controlled trials with improved quality design and following STRICTA and/or CONSORT recommendations are necessary to engage acupuncture as a standardized and scientific validated technique in PCOS condition.

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

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

Quercetin and polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a reproductive endocrine disease, and results to opsomenorrhea or amenorrhea, hairy, acne, acanthosis, infertility, abortion. In the long term, PCOS may also increase the risk of endometrial cancer, diabetes, hypertension, dyslipidemia and other diseases. Till now there is no specific drug for PCOS due to the unclearness of the cause and pathogenesis, as current treatments for PCOS only target certain symptoms. Quercetin (QUR) is a flavonoid drug widely found in Chinese herbal medicines, fruits, leaves, vegetables, seeds and plants roots. Studies on other diseases have found that QUR has anti-oxidant, anti-inflammatory, anti-insulin resistance, anti-cancer and other effects. Some studies have shown that serum testosterone (T), luteinizing hormone (LH), the LH/follicule-stimulating hormone (FSH) ratio, fasting glucose, fasting insulin, HOMA-IR and lipid levels are reduced in PCOS patients with QUR treatment. However, the mechanisms of QUR in PCOS patients have not been completely elucidated. In this review, we retrospect the basic characteristics of QUR, and in vitro studies, animal experiments and clinical trials of QUR and plant extracts containing QUR in the treatment of PCOS. We also summarized the effects and mechanism of QUR in ovarian cells in vitro and PCOS model rats, the changes in relevant parameters after QUR administration in PCOS patients, and its potentially therapeutic applications.

MicroRNA-29c-3p participates in insulin function to modulate polycystic ovary syndrome via targeting Forkhead box O 3

MicroRNAs (miRNAs) are gene expression regulators and changes in miRNA levels are associated with diabetes, insulin resistance, and inflammation, the latter two of which are characteristic of polycystic ovary syndrome (PCOS). The purpose of this study was to explore the specific mechanism in which miR-29 c-3p participated in insulin function to regulate PCOS by targeting Forkhead box O 3 (Foxo3). Peripheral blood from PCOS patients and healthy volunteers were first collected, and the expression levels of miR-29 c-3p and Foxo3 were detected by reverse transcription quantitative polymerase chain reaction or Western blot. Then human granular tumor cell line (KGN) was treated with insulin, and transfected with plasmid vectors interfering with miR-29 c-3p or Foxo3 expression. Cell proliferation was detected by Cell counting kit-8 and plate cloning, and cell apoptosis was tested by flow cytometry. In addition, PCOS rat model was established. PCOS rats were injected with plasmids vectors interfering with miR-29 c-3p or Foxo3 expression, respectively. Pathological changes in ovarian tissues of rats in each group were observed by hematoxylin-eosin staining, and serum sex hormones and glucose metabolism-related indicators were detected. Finally, via bioinformatics website, luciferase digestion report assay was detected the targeting relationship between miR-29 c-3p and Foxo3. The experimental results showed that miR-29 c-3p was down-regulated in PCOS, but Foxo3 was up-regulated. Up-regulated miR-29 c-3p or down-regulated Foxo3 promoted KGN cell proliferation, inhibited apoptosis in vitro, restored PCOS rat sex hormone levels and improved glucose metabolism in vivo. These results suggest that miR-29 c-3p is involved in insulin function to improve PCOS by targeting Foxo3.

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.

Insulin resistance and high molecular weight adiponectin in obese and non-obese patients with Polycystic Ovarian Syndrome (PCOS)

BACKGROUND

Polycystic ovarian syndrome (PCOS) is the most common endocrinopathy among young women. Insulin resistance is a key feature in the pathogenesis of PCOS; also high molecular weight adiponectin is a marker of insulin resistance. The aim of this study was to evaluate the insulin resistance, metabolic and androgenic profiles and high molecular weight adiponectin in obese and non-obese PCOS patients.

METHODS

In this cross-sectional study in outpatient endocrinology clinics of Shiraz University of Medical Sciences, 80 women aged 17-43 years old with PCOS were enrolled. Biochemical and hormonal assay was done on fasting blood sample on the third day of follicular phase.

RESULTS

The individuals had a mean age of 28.39 ± 6.56 years, mean weight of 65.41 ± 12.59 Kg, mean BMI of 25.5 ± 4.9, and mean waist circumference of 88.0 ± 13.1 cm. Of all individuals 20% had frank insulin resistance with HOMA-IR > 3.8. Although the obese PCOS patients had lower levels of high molecular weight adiponectin (P = 0.03) than the normal weight PCOS individuals, the level of insulin and insulin resistance was not different in them (P = 0.13, 0.13). Patients with classic PCOS phenotype significantly had higher levels of insulin resistance and free androgen index (P < 0.001, 0.001). We found a significant correlation between the insulin level and free androgen index (correlation coefficient: 0.266 and P = 0.018) after adjusting for BMI.

CONCLUSION

This cross-sectional study showed a high incidence of insulin resistance in PCOS patients independent of obesity, and determined BMI related lower level of high molecular weight adiponectin in obese PCOS individuals. More detailed studies are warranted for evaluation of insulin resistance and its pathophysiologic role in PCOS.

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.

The risk of chronic kidney disease among women with polycystic ovary syndrome: A long-term population-based cohort study

BACKGROUND AND OBJECTIVE

Results of studies focusing on chronic kidney disease (CKD) among women with polycystic ovary syndrome (PCOS) are insufficient and controversial. This study aimed to evaluate the incidence rate of CKD in women with PCOS, compared to a control group of healthy women.

METHODS

This study was a population-based cohort study conducted from among 1460 reproductive-age women including 156 women with PCOS and 1304 controls. Incidence rates per 1000 person-years of follow-up were calculated for PCOS and control groups. Cox proportional hazards regression with age as the time-scale was used to estimate hazard ratios (HR) and 95% confidence intervals for developing CKD in relation to PCOS in both univariable and multivariable models.

RESULTS

During a median follow-up of 12.9 years, 330 new cases of CKD were identified, including 25 PCOS women (14.8 per 1000 person-years; 95% CI, 10-22) and 305 healthy controls (21.5 per 1000 person-years; 95% CI, 19.2-24.1). The results of the Cox model showed that the risk of CKD among women with PCOS and healthy women is comparable and women with PCOS did not have a higher risk of developing CKD compared to healthy women (unadjusted HR: 0.883; 95% CI: 0.587-1.328; P = .551). The results remained unchanged after adjustment for potential confounders of smoking status, BMI, hypertension and diabetes at baseline and follow-up of study (multiple adjusted HR: 0.911; 95% CI: 0.600-1.383; P = .661).

CONCLUSION

Our population-based study with a long-term follow-up period showed that the risk of CKD in PCOS patients was similar to the general female population. Large studies, with long-term follow-up and more diverse phenotypes, are needed to confirm the findings.

Prevalence of metabolic disturbances among women with polycystic ovary syndrome in different regions of Brazil

OBJECTIVE

To describe the prevalence of metabolic disturbances in a large cohort of women with polycystic ovary syndrome (PCOS) in southeastern Brazil and to compare the findings with other cohorts of Brazilian women with PCOS.

METHODS

A retrospective study analyzing clinical and laboratory data of 462 women with PCOS treated at an outpatient clinic in a tertiary hospital in southeastern Brazil. Prevalence of insulin resistance, glucose intolerance, type 2 diabetes, dyslipidemia, central obesity, hypertension, and metabolic syndrome was compared to that of other cohorts of age and body mass index-matched Brazilian women with PCOS.

RESULTS

Women with PCOS had a median age of 25.0 (21.0-29.0) years and BMI of 28.7 (23.9-34.0) kg/m² . Prevalence of insulin resistance, glucose intolerance, and type 2 diabetes varied from 39.6% to 55.0%, 7.2% to 28.1%, and 2.0% to 4.1%, respectively. Prevalence of central obesity, dyslipidemia due to decreased high-density lipoprotein cholesterol, hypertriglyceridemia, and metabolic syndrome ranged from 57.8% to 66.4%, 54.1% to 70.4%, 22.9% to 35.1%, and 27.4% to 38.3%, respectively, which did not differ among regions in Brazil.

CONCLUSION

Prevalence of metabolic disturbances was high among Brazilian women with PCOS. This study suggests that, from a public health perspective, authorities in Brazil should be aware of and encourage screening for metabolic dysfunction in women with PCOS in all regions of the country.

Downregulation of MicroRNA-222 Reduces Insulin Resistance in Rats with PCOS by Inhibiting Activation of the MAPK/ERK Pathway via Pten

Polycystic ovary syndrome (PCOS), characterized by the dysfunction of endocrine metabolism, is a common disease among women. Insulin (INS) resistance (IR) is considered as an obstruction to effective PCOS treatment. Here, we aimed to explore the mechanism by which microRNA-222 (miR-222) affects IR in PCOS via Pten. Quantitative reverse transcription-polymerase chain reaction and western blot assays indicated that miR-222 expression was higher in the peripheral blood of PCOS patients with IR than in PCOS patients without IR, while Pten expression was lower. Further mechanistic analysis identified Pten as a target gene of miR-222. Moreover, PCOS rat models were established through the administration of dehydroepiandrosterone and were subsequently treated with miR-222 agomir, miR-222 antagomir, or Pten overexpression plasmid. The inhibition of miR-222 improved ovarian morphology, enhanced the production of serum sex hormones (follicle-stimulating hormone [FSH], luteotropic hormone [LH], estradiol 2 [E2], prolactin [PRL], and testosterone [T]), increased the levels of glucose metabolism indicators (homeostasis model of assessment for IR [HOMA-IR], blood glucose [BG]_120min, and INS_120min), and reduced the production of progesterone in the PCOS rats. Notably, miR-222 downregulation resulted in the inactivation of the mitogen-activated protein kinase (MAPK)/ERK pathway by upregulating Pten. Collectively, miR-222 inhibition might reduce IR in PCOS by inactivating the MAPK/ERK pathway and elevating Pten expression, which indicates miR-222 as a promising target for PCOS treatment.

Polycystic Ovary Syndrome and Pelvic Floor Dysfunction: A Narrative Review

Pelvic floor dysfunction is one of the most common disorders in women that is associated with social and economic consequences. In general, this disorder imposes direct and indirect costs on the economy of various societies. This review aimed to investigate pelvic floor dysfunction in women with polycystic ovary syndrome (PCOS). In this narrative review, the published articles on pelvic floor dysfunction were examined in PubMed, Scopus, Web of Sciences and Google Scholar. We searched for terms related to polycystic ovary syndrome and pelvic floor dysfunction. Inclusion criteria of this research were observational, experimental, and review studies. In this investigation, the complications associated with polycystic ovary syndrome were examined as risk factors for pelvic floor dysfunction. In this narrative review, we discuss about changes in hormone levels, obesity and overweight, hormonal medications and complications such as diabetes and metabolic disorders and obstetric complications of PCOS can be involved in the pathophysiology of pelvic floor dysfunctions, including stress urinary incontinence and pelvic organ prolapse in women with PCOS. This review highlights knowledge gaps about protective effect of hyperandrogenism on pelvic floor dysfunction as well as destructive effect of metabolic changes on pelvic floor dysfunction in women with PCOS. Further cohort and prospective studies are recommended in women with PCOS to investigate the concept of pelvic organ dysfunction in these women.

Prevalence of metabolic syndrome in four phenotypes of PCOS and its relationship with androgenic components among Iranian women: A cross-sectional study

BACKGROUND

Polycystic ovary syndrome (PCOS) increases the risk of metabolic syndrome (MetS). Insulin resistance (IR) plays a major role in the pathophysiology of both PCOS and MetS.

OBJECTIVE

This study was designed to compare the prevalence of MetS among different phenotypes of PCOS and its relationship with androgenic components.

MATERIALS AND METHODS

182 participants eligible for this five-group comparative study were selected by convenience sampling method. They were classified according to the Rotterdam criteria: clinical and/or biochemical hyperandrogenism (H) + PCOS on ultrasound (P) + ovulation disorders (O) (n = 41), clinical and/or biochemical H + PCOS on P (n = 33), PCOS on P + O (n = 40), clinical and/or biochemical H + O (n = 37), and control (without PCOS) (n = 31). MetS was measured based on the National Cholesterol Education Program Adult Treatment Panel III criteria. Androgenic components included free-androgen-index (FAI), total-testosterone (TT) level and sex-hormone-binding-globulin (SHBG).

RESULTS

A significant difference was observed between the study groups in terms of MetS prevalence (p = 0.01). In phenotype H+P+O, there was a statistically significant positive association between TG and TT, and a significant negative association between SBP and DBP with SHBG. In phenotype O+P, WC was inversely associated with SHBG. In phenotype H+O, FBS and TG were positively associated with FAI but HDL was inversely associated with FAI. Moreover, WC and DBP were positively associated with TT in phenotype H+O. No associations were detected between MetS parameters and androgenic components in other PCOS subjects (phenotype H+P) and in the control group. TT was significantly higher in the PCOS group suffering from MetS (p = 0.04).

CONCLUSION

According to the research results, hyperandrogenic components are potent predictors of metabolic disorders. Thus, we suggest that MetS screening is required for the prevention of MetS and its related complications in PCOS women.

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.

Prevalence of metabolic syndrome among Iranian women with polycystic ovary syndrome: A systematic review and meta-analysis

Polycystic ovary syndrome (PCOS) is a common endocrine disorder that is associated with an increased the risk of metabolic syndrome (MetS) and hence increased cardiovascular diseases in women. This systematic review and meta-analysis aimed at examining the prevalence of MetS in Iranian women with PCOS. This was a systematic review and meta-analysis of English and Persian studies, using the following keywords: Polycystic Ovary Syndrome, Hyperandrogenism, Metabolic Syndrome,"MetSyn", X Syndrome, and Iran in several national and international databases (Scientific Information Database (SID), Magiran, Web of Science, Google Scholar, PubMed, and Scopus from inception to February 2019. Heterogeneity among the studies was assessed using the Cochran's Q test. The random effects model was then used to estimate the overall prevalence of MetS. ALL the analyses were performed using STATA, version 12. Overall, 10 studies were included in the study. The overall prevalence of MetS among Iranian women with PCOS was 26.6% (95% CI: 16.60-31.70). In addition, the mean body mass index (BMI) was 27.47 (95% CI: 25.46-29.48) and the mean waist circumference was 87.94 (95% CI: 84.28-91.60). According the meta-regression results, there were no significant associations between the prevalence of MetS and sample size, year of publication, waist circumference, BMI, and age. One-fourth of Iranian women with PCOS have MetS. Given the overlap between anthropometric and metabolic abnormalities in PCOS and the features of MetS, accurate identification of patients with MetS is important to ensure early diagnosis and subsequent interventions to effectively manage the condition.

The risk of metabolic syndrome in polycystic ovary syndrome: A systematic review and meta-analysis

BACKGROUND AND OBJECTIVE

Polycystic ovary syndrome (PCOS) is a common heterogeneous endocrine disorder associated with metabolic syndrome (MetS). The aim of this systematic review and meta-analysis was to provide the most reliable estimate risk of MetS in women with PCOS, compared to healthy controls.

METHODS

A comprehensive literature search was performed in PubMed [including Medline], Web of Science and Scopus databases for retrieving articles in English language on the prevalence/incidence and odds of MetS in women with PCOS compared to healthy controls. Mantel-Haenszel methods of meta-analysis were used to present results in terms of the pooled odds ratio (OR) (95% confidence interval [CI]) using fixed/random-effects models with/without the publication bias correction, based on the various subgroups of age and study methods. Newcastle-Ottawa Scaling and The Cochrane Collaboration's risk of bias assessment tool were used to evaluate the quality of studies included.

RESULTS

The search strategy yielded 2759 potentially relevant articles of which 44 articles were included for meta-analysis. Results of the meta-analysis demonstrated that the patients with PCOS regardless of age, BMI and recruitment sources of samples had higher odds of MetS compared to healthy controls (OR 2.5, 95% CI 2.0-3.2). However, adolescents with PCOS had an increased odds of MetS compared to healthy adolescent controls in population- and nonpopulation-based studies (OR 4.7, 95% CI 1.8-11.9; OR 6.1, 95% CI 6.0- 6.1, respectively). However, the odds of MetS had no differences between adults with PCOS compared to healthy controls in population-based studies. These results were confirmed by the subgroup meta-analysis of some studies using age and BMI adjustment/matching. In addition, subgroup analysis based on diagnostic criteria of PCOS showed that the OR of MetS in PCOS using NIH criteria was higher than AES and Rotterdam criteria (Pooled Overall OR based on NIH criteria = 6.05, 95% CIL: 6.0-6.04).

CONCLUSION

These findings provide some information on the real features and a broader view of this syndrome that also helps clarify conflicting results documented in the literature. Accordingly, in prevention strategies, routine screening for metabolic syndrome is suggested for adolescents with PCOS.

Optimal Cutoff Points for Anthropometric Variables to Predict Insulin Resistance in Polycystic Ovary Syndrome

BACKGROUND

Insulin resistance (IR) is a major cardiometabolic risk factor in females with polycystic ovary syndrome (PCOS). The euglycemic clamp is the gold standard method to measure IR. However, considering the time and cost that it takes, surrogate markers of IR are now widely used. The current study aimed at evaluating the cutoff points of even less invasive anthropometric and body composition variables to predict IR in females with PCOS.

METHODS

The current cross sectional study selected 224 females with PCOS, using Rotterdam criteria, referred to reproductive endocrinology research center; 88 of which were diagnosed with insulin resistance. Receiver operating characteristics curve was used to explore the best cutoff values of each anthropometric and body composition measures. IR was defined as homeostasis model assessment formula greater or equal to 2.6: HOMA-IR = fasting insulin (mU/L) × fasting plasma glucose (mM/L)/22.5.

RESULTS

The highest area under the curve (0.751) was for the multiplication of waist circumference (WC) by body mass index (BMI), as a single index. The highest sensitivity and specificity were for body water (BW) percentage (82% for values greater than 32.85%) and WC (79% for values greater than 88 cm), respectively.

CONCLUSIONS

It was concluded that there were simple anthropometric variables; e.g., WC × BMI, percentage of BW, and WC that could help to estimate IR in clinical settings especially when the gold standard or surrogate markers of IR were unavailable.

Evaluation of Relationship between Body Mass Index with Vitamin D Receptor Gene Expression and Vitamin D Levels of Follicular Fluid in Overweight Patients with Polycystic Ovary Syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder associated with reproductive disorders and metabolic dysfunctions including insulin resistance. The roles of vitamin D in the regulation of metabolic modulations specifically involving insulin and reproduction processing are introduced. In addition, obesity appears to be closely associated with severity of PCOS. The present study is to evaluate the effect of body mass index (BMI) on vitamin D levels in follicular fluid and vitamin D receptor (VDR) expression levels in granulos cells.

MATERIALS AND METHODS

A comparative study was conducted on 80 women with average age of 20-35 years referred for in vitro fertilization (IVF). Patients were divided into four groups, and serum levels of testosterone and insulin resistance (IR) were evaluated at the puncture time. Also, vitamin D levels of follicular fluid were evaluated. VDR gene expression was assayed by quantified-polymerase chain reaction (PCR) technique. Correlations were evaluated with calculation of the Spearman coefficient, and also independent relationships were assessed by means of multiple regression analysis.

RESULTS

Vitamin D levels of follicular fluid decreased in PCOS patients compared with non-PCOS. Also, over-weight individuals had lower vitamin D levels compared with normal-weight patients. Vitamin D levels of follicular fluid were highly correlated with BMI (r=-0.51, P<0.01). Homeostatic model assessment-IR (HOMA-IR) values were significantly higher in women of PCOS/overweight and PCOS/normal weight in comparison with women of non-PCOS/normal weight (P<0.01). The gene expression data of VDR in granulosa cells were significantly lower in the PCOS/overweight group compared with the non-PCOS/normal weight (P<0.01).

CONCLUSION

The findings indicated significant differences in VDR gene expression in granulosa cells and vitamin D of follicular fluid in PCOS/overweight patients.

Effects of hyperandrogenism on metabolic abnormalities in patients with polycystic ovary syndrome: a meta-analysis

BACKGROUND

The study evaluated the effect of hyperandrogenism (HA) in polycystic ovary syndrome (PCOS) on metabolic parameters.

METHODS

We searched PubMed, EMBASE, Cochrane, Web of Science, Chinese Biomedical Database (CBM), China National Knowledge Infrastructure (CNKI), WanFang data and VIP for clinical observational studies. The study evaluated PCOS patients with or without HA on metabolic parameters was included. Prevalence of metabolic syndrome, indexes of insulin resistance (IR) including homeostasis model assessment IR index (HOMA-IR), incidence of IR, biomarkers of serum lipid metabolism such as total cholesterol (TC), triglyceride (TG), high density lipoprotein (HDL), and low density lipoprotein (LDL).

RESULTS

Of 4457 identified trials, 32 observational studies were included for the final analysis comprising 9556 female with PCOS. 6482 cases were having HA, and the others were negative. There were significant differences in the incidence of metabolic syndrome, HOMA-IR, rate of IR, TC level and HDL level between PCOS patients with or without HA, except for LDL level. No significant publication bias was found as P value of Egger's test was 0.82.

CONCLUSIONS

HA play an important role in metabolic disorders in PCOS patients. The incidence of metabolic syndrome, IR indexes, and most biomarkers of serum lipid metabolism were significantly different between patients with and without HA.

Insulin resistance in obesity and polycystic ovary syndrome: systematic review and meta-analysis of observational studies

We aimed at investigating whether insulin resistance (IR)/sensitivity are impaired in obese/non-obese polycystic ovary syndrome (PCOS) and obese/non-obese healthy controls. A comprehensive literature search was performed for observational, English language studies. Meta-analysis was performed with the random effects model according to the heterogeneity. Eligible studies, involving 3037 women in four groups of: 1-obese, PCOS; 2-non-obese, PCOS, 3-obese, non-PCOS and 4-Non-obese, non-PCOS were included. Based on the insulin resistance index (HOMA-IR) analysis, the pooled mean (95% Conf. Interval) of HOMA IR in groups 1-4 were 4.38 (3.84, 4.92), 2.68 (2.16, 3.20), 2.44 (2.06, 2.82) and 1.34 (1.06, 1.63), respectively. Meta-analysis showed that group 1 (obese, PCOS patients) statistically have the highest IR and group 4 (non-obese, non-PCOS women) have the highest insulin sensitivity. Group 2 (non-obese, PCOS patients) and group 3 (obese, non-PCOS women) were between this range and they had lower IR than group 1 (obese, PCOS) and lower insulin sensitivity than group 4 (non-obese, non-PCOS). So, there were statistical differences between all groups except between groups 2 and 3. Insulin sensitivity indexes (quickie and ISI), also confirm the IR index (HOMA-IR) results. Based on different IR/sensitivity indexes, we found no evidence of any different effects of BMI ≥ 30 kg/m(2) on IR/sensitivity. In conclusion, PCOS status intensifies the adverse effects of obesity on IR, it has to be appropriately addressed in primary and secondary preventive cares and treatments provided for these women.

The Polycystic Ovary Morphology-Polycystic Ovary Syndrome Spectrum

BACKGROUND

Polycystic ovary syndrome (PCOS) is the most common cause of chronic hyperandrogenic anovulation. Two-thirds of PCOS patients have functionally typical PCOS, with typical functional ovarian hyperandrogenism manifest as 17-hydroxyprogesterone hyper-responsiveness to gonadotropin stimulation. Most, but not all, of the remainder have atypical functional ovarian hyperandrogenism. Many asymptomatic volunteers with polycystic ovary morphology (PCOM) have similar abnormalities.

OBJECTIVE

The objective of this paper is to review the relationship of biochemical ovarian function to the clinical spectrum observed in PCOS and in normal volunteers with PCOM.

FINDINGS

Adolescents and adults with PCOS are similar clinically and biochemically. Ninety-five percent of functionally typical PCOS have classic PCOS, ie, hyperandrogenic anovulation with PCOM. In addition to having more severe hyperandrogenism and a greater prevalence of PCOM than other PCOS, they have a significantly greater prevalence of glucose intolerance although insulin resistance is similarly reduced. Half of normal-variant PCOM have PCOS-related steroidogenic dysfunction, which suggests a PCOS carrier state.

CONCLUSIONS

There is a spectrum of ovarian androgenic dysfunction that ranges from subclinical hyperandrogenemia in some normal-variant PCOM to severe ovarian hyperandrogenism in most classic PCOS. A minority of mild PCOS cases do not fall on this spectrum of ovarian androgenic dysfunction, but rather seem to have obesity as the basis of their hyperandrogenism, or, less often, isolated adrenal androgenic dysfunction. Half of normal-variant PCOM also do not fall on the PCOS spectrum, and some of these seem to have excessive folliculogenesis as a variant that may confer mild prolongation of the reproductive lifespan. Improved understanding of PCOM in young women is needed.

A visceral adiposity index-related dietary pattern and the cardiometabolic profiles in women with polycystic ovary syndrome

BACKGROUND & AIMS

Visceral adiposity index (VAI), an indicator of visceral adiposity, has been found to be associated with cardiometabolic disturbances in women with polycystic ovary syndrome (PCOS). The association of dietary intakes with VAI, and subsequently cardiometabolic variables is still unclear. The aims of this study were to identify a dietary pattern associated with VAI and to investigate whether this pattern is associated with cardiometabolic variables in PCOS women.

METHODS

The study was conducted on 53 PCOS women, aged 18-45 years, diagnosed according to National Institutes of Health (NIH) criteria, and 167 age-matched normo-ovulatory women who were recruited from the Tehran Lipid and Glucose Study. Reduced rank regression was applied to determine a dietary pattern that explains the maximum variation of the VAI. Associations between the dietary pattern and cardiometabolic profiles were investigated using linear and logistic regression, adjusted for age and BMI.

RESULTS

A VAI dietary pattern was identified characterized by high consumption of fried vegetables, vegetable oils (except olive oil), salty snacks, legumes, eggs, fast foods and low consumption of traditional sweets, high and low fat dairy, cruciferous vegetables, sugars and honey. A one standard deviation (SD) increase in dietary pattern score was significantly associated with higher triglycerides (TGs) (βcontrol = 0.22, p = 0.003; βcase = 0.48, p = 0.001) and TGs/HDL-C ratio (βcontrol = 0.23, p = 0.002; βcase = 0.52, p = 0.001) in both groups. After adjusting for age and BMI, a 1-SD increase in dietary pattern score was associated with increased risk of VAD in PCOS (OR 2.77; 95% CI 1.15, 6.66) and control groups (OR 2.41; 95% CI 1.41-4.12). In the control group, the risk of hypercholesterolemia, hypertriglyceridemia, high LDL-C, low HDL-C, hyperglycemia and IGT + IFG increased significantly per 1-SD increase in dietary pattern score, which all remained significant after adjusting for age and BMI, except for the risk of high LDL-C. Among the cardiometabolic abnormalities, only the risk of hypertriglyceridemia was significantly associated with dietary pattern score in women with PCOS, which lost its significance after adjusting for age and BMI.

CONCLUSION

The VAI dietary pattern affects most cardiometabolic variables in controls, but to a lesser extent in PCOS women. Our study suggests that relationships between diet and cardiometabolic risk profiles may be modified by PCOS status.

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

STUDY QUESTION

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

SUMMARY ANSWER

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

WHAT IS KNOWN ALREADY

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

STUDY DESIGN, SIZE, DURATION

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

PARTICIPANTS/MATERIALS, SETTING, METHODS

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

MAIN RESULTS AND THE ROLE OF CHANCE

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

LIMITATIONS, REASONS FOR CAUTION

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

WIDER IMPLICATIONS OF THE FINDINGS

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

STUDY FUNDING/COMPETING INTERESTS

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

TRIAL REGISTRATION NUMBER

Nil.

A case-control observational study of insulin resistance and metabolic syndrome among the four phenotypes of polycystic ovary syndrome based on Rotterdam criteria

Background

Polycystic ovary syndrome (PCOS) is associated with an increased risk of insulin resistance (IR), metabolic syndrome (MetS), impaired glucose tolerance (IGT) and type 2 diabetes mellitus (T2DM). Metabolic aspects of the four PCOS phenotypes remain to be fully defined. The aim of this study was to compare metabolic parameters and insulin resistance among the four PCOS phenotypes defined according to the Rotterdam criteria and to determine predictors of these complications.

Methods

A total of 526 reproductive-aged women were included in this observational case–control study. Of these, 263 were diagnosed as a PCOS based on Rotterdam criteria and 263 infertile women with no evidence of PCOS were recruited as controls. Biochemical, metabolic and insulin resistance parameters were compared in the two groups and the frequency of MetS and IR were compared among the four phenotypes. Data were analyzed for statistical significance using Student’s t-test and one way analysis of variance followed by a post-hoc test (least significant difference). Chi-square tests were used to compare proportions. Univariate and multivariate logistic regression analyses were also applied.

Results

IR was identified in 112 (42.6%) of the PCOS women and 45 (17.1%) of the control (P <0.001). There were no significant differences in the frequency of IR and MetS between the four PCOS phenotypes. Homeostatic model assessment for IR (HOMA-IR) ≥3.8 was the most common IR parameter in PCOS and control groups. Women with oligo-anovulation (O) and PCO morphology (P) had a significantly lower level of 2-h postprandial insulin compared to women with O, P and hyperandrogenism (H) phenotypes.

Logistic regression analysis showed that body mass index, waist circumference, triglyceride/high-density lipoprotein ratio (cardiovascular risk), HOMA-IR and glucose abnormalities (T2DM) were associated with increased risk of having MetS (P < 0.05).

Conclusions

PCOS women with (O + P) show milder endocrine and metabolic abnormalities. Although, there were no significant differences in IR, MetS and glucose intolerance between the four PCOS phenotypes, women with PCOS are at higher risk of impaired glucose tolerance and undiagnosed diabetes.

Classic PCOS phenotype is not associated with deficiency of endogenous vitamin D and VDR gene polymorphisms rs731236 (TaqI), rs7975232 (ApaI), rs1544410 (BsmI), rs10735810 (FokI): a case-control study of lower Silesian women

CONTEXT

The role of endogenous vitamin D and vitamin D receptor (VDR) gene polymorphism in polycystic ovary syndrome (PCOS) is still controversial.

OBJECTIVE

The objective of this study was to investigate for the first time in women with "classic" PCOS phenotype and healthy controls the role of the serum endogenous vitamin D level and VDR gene polymorphisms in PCOS etiology.

DESIGN

Ninety-two women with "classic" PCOS phenotype and 85 controls from lower Silesia with comparable body mass index (BMI) were studied. In all women the waist circumference, android/gynoid fat deposit, parameters of lipid and glucose metabolism, testosterone, free androgen index, sex hormone binding globulin (SHBG) and vitamin D were evaluated. Also, VDR gene polymorphisms rs731236, rs7975232, rs1544410 and rs10735810 were assessed.

RESULTS

Serum vitamin D levels in both groups were comparable. Also high, comparable frequencies of hypovitaminosis and vitamin D deficiency in both groups were observed. Women with "classic" PCOS phenotype had statistically significantly higher values of all measured parameters, except serum SHBG and high-density lipoprotein (HDL)-cholesterol, which were lower. The frequency of VDR genotype polymorphism was also comparable in both groups.

CONCLUSIONS

For the first time, we show that endogenous vitamin D deficiency and VDR polymorphisms are not associated with homogeneous "classic" PCOS phenotype.

The prevalence of metabolic disorders in various phenotypes of polycystic ovary syndrome: a community based study in Southwest of Iran

BACKGROUND

Polycystic ovary syndrome (PCOS) is a common endocrinopathy, associated with metabolic abnormalities. Metabolic features of various phenotypes of this syndrome are still debatable. The aim of present study hence was to evaluate the metabolic and hormonal features of PCOS phenotypes in comparison to a group of healthy control.

METHODS

A total of 646 reproductive-aged women were randomly selected using the stratified, multistage probability cluster sampling method. The subjects were divided into five phenotypes: A (oligo/anovulation + hyperandrogenism + polycystic ovaries), B (oligo/anovulation + hyperandrogenism), C (hyperandrogenism + polycystic ovaries) and D (oligo/anovulation + polycystic ovaries). Hormonal and metabolic profiles and the prevalence of metabolic syndrome among these groups were compared using ANCOVA adjusted for age and body mass index.

RESULTS

Among women with PCOS (n = 85), those of groups A and C had higher serum levels of insulin and homeostatic model assessment for insulin resistance (HOMA-IR), compared to PCOS women of group D. Serum concentrations of cholesterol, low density lipoprotein, triglycerides and glucose in group A were higher than in other phenotypes, whereas the metabolic syndrome was more prevalent among group B.

CONCLUSIONS

Women who had all three components of the syndrome showed the highest level of metabolic disturbances indicating that metabolic screening of the severest phenotype of PCOS may be necessary.