Association of Fat Mass and Skeletal Muscle Mass with Cardiometabolic Risk Varied in Distinct PCOS Subtypes: A Propensity Score-Matched Case-Control Study

(1) Background: polycystic ovarian syndrome (PCOS) is a heterogeneous syndrome with a constellation of cardiometabolic risk factors. We aimed to investigate if the association of body fat mass (BFM) and skeletal muscle mass (SMM) with cardiometabolic risk differed in PCOS subtypes. (2) Methods: 401 participants (245 PCOS and 156 controls) were assessed for anthropometric measurements, glucose-lipid profiles, reproductive hormones and body composition with propensity score-matched (PSM) analysis. The association of the cardiometabolic risk score (z score, calculated based on levels of obesity and gluco-lipid measurements) with BFM (estimated by trunk BFM/Height2) and SMM (estimated by SMM/Height2) was calculated. (3) Results: Trunk BFM/Height2 and SMM/Height2 were both positively associated with cardiometabolic risk in PCOS (trunk BFM/Height2, OR 2.33, 95% CI 1.49-3.65; SMM/Height2, OR 2.05, 95% CI 1.12-3.76). SMM/Height2 associated with increased cardiometabolic risk in obese PCOS (BMI ≥ 28 kg/m2, OR 2.27, 95% CI 1.15-4.47). For those with lower BMI (<28 kg/m2), trunk BFM/Height2 showed a higher OR in both groups (PCOS, OR 2.12, 95% CI 1.06-4.24; control 2.04, 95% CI 1.04-4.02). Moreover, distinct associations among BMI-stratified groups were validated in hierarchical clustering identifying metabolic and reproductive clusters. (4) Conclusions: BFM and SMM are synergistically associated with higher cardiometabolic risk in PCOS women. Although BFM contributes to increased cardiometabolic risk, SMM also plays a primary role in obese PCOS. Our results highlight the importance of body composition in the management of PCOS.

Body Fat Distribution and Female Infertility: a Cross-Sectional Analysis Among US Women

At present, the effect of body fat distribution on female reproductive health is still inconclusive. The purpose of our study was to analyze the correlation between female infertility rates and the fat mass portion of the android region to the gynoid region (the A/G ratio) among US women of reproductive age. Female infertility is defined as a failure to get pregnant after 12 months of unprotected sexual activity. A total of 3434 women of reproductive age were included in this study as part of the 2013-2018 National Health and Nutrition Examination Survey (NHANES). The A/G ratio was used to assess the body fat distribution of participants. Based on the comprehensive study design and sample weights, it was determined that the A/G ratio was associated with female infertility primarily through logistic regression analyses. After adjusting for potential confounders, the multivariate regression analysis indicated an increase in the A/G ratio was correlated with an increase in the prevalence of female infertility (OR = 4.374, 95% CI:1.809-10.575). Subgroup analyses showed an increased prevalence of infertility in non-Hispanic Whites (P = 0.012), non-diabetic individuals (P = 0.008), individuals under 35 years old (P = 0.002), and individuals with secondary infertility (P = 0.01). The trend tests and smooth curve fitting illustrate a linear trend between the A/G ratio and female infertility. Future researches are warranted to confirm the causal relationship between body fat distribution and female infertility, which may provide an insight into future prevention and treatment of female infertility.

Mitochondrial function and oxidative stress in white adipose tissue in a rat model of PCOS: effect of SGLT2 inhibition

Background

Polycystic ovary syndrome (PCOS), characterized by androgen excess and ovulatory dysfunction, is associated with a high prevalence of obesity and insulin resistance (IR) in women. We demonstrated that sodium–glucose cotransporter-2 inhibitor (SGLT2i) administration decreases fat mass without affecting IR in the PCOS model. In male models of IR, administration of SGLT2i decreases oxidative stress and improves mitochondrial function in white adipose tissue (WAT). Therefore, we hypothesized that SGLT2i reduces adiposity via improvement in mitochondrial function and oxidative stress in WAT in PCOS model.

Methods

Four-week-old female rats were treated with dihydrotestosterone for 90 days (PCOS model), and SGLT2i (empagliflozin) was co-administered during the last 3 weeks. Body composition was measured before and after SGLT2i treatment by EchoMRI. Subcutaneous (SAT) and visceral (VAT) WAT were collected for histological and molecular studies at the end of the study.

Results

PCOS model had an increase in food intake, body weight, body mass index, and fat mass/lean mass ratio compared to the control group. SGLT2i lowered fat mass/lean ratio in PCOS. Glucosuria was observed in both groups, but had a larger magnitude in controls. The net glucose balance was similar in both SGLT2i-treated groups. The PCOS SAT had a higher frequency of small adipocytes and a lower frequency of large adipocytes. In SAT of controls, SGLT2i increased frequencies of small and medium adipocytes while decreasing the frequency of large adipocytes, and this effect was blunted in PCOS. In VAT, PCOS had a lower frequency of small adipocytes while SGLT2i increased the frequency of small adipocytes in PCOS. PCOS model had decreased mitochondrial content in SAT and VAT without impacting oxidative stress in WAT or the circulation. SGLT2i did not modify mitochondrial function or oxidative stress in WAT in both treated groups.

Conclusions

Hyperandrogenemia in PCOS causes expansion of WAT, which is associated with decreases in mitochondrial content and function in SAT and VAT. SGLT2i increases the frequency of small adipocytes in VAT only without affecting mitochondrial dysfunction, oxidative stress, or IR in the PCOS model. SGLT2i decreases adiposity independently of adipose mitochondrial and oxidative stress mechanisms in the PCOS model.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13293-022-00455-x.

Androgen excess in PCOS model is associated with decreased markers of mitochondrial content in both subcutaneous and visceral white adipose tissue.

Androgen excess in PCOS model is associated with increased frequency of small adipocytes in subcutaneous white adipose tissue while decreasing frequency of small adipocytes in visceral white adipose tissue.

SGLT2 inhibition did not modify markers of mitochondrial content or oxidative stress in either subcutaneous or visceral white adipose tissue in PCOS model.

SGLT2 inhibition increased frequency of small adipocytes in both subcutaneous and visceral white adipose tissue in control rats; however, SGLT2 inhibition only increased frequency of small adipocytes in visceral white adipose tissue in PCOS model.

Hypertension Predisposition and Thermoregulation Delays in Adolescents with Polycystic Ovary Syndrome: A Pilot Study

Background: Polycystic ovary syndrome (PCOS) is a heterogeneous disorder in which clinical, sonographic, and endophenotypic features have been underinvestigated or inconclusive, especially in the early stages of the disease (adolescence/young adulthood). Objective: This prospective pilot study focused on the differences of multiple physiological functions between Greek adolescent/young adult females suffering from PCOS and age- and body mass index (BMI)- matched healthy controls. Study design: Nineteen PCOS patients and eighteen healthy controls (aged 13 to 23 years) were studied for: (i) biochemical and hormonal dysfunction by measuring circulating glucose, insulin, and androgen levels; (ii) arterial stiffness with pulse wave analysis (PWA) by Sphygmocord; (iii) intima-media thickness (IMT) by ultrasound; (iv) heart rate variability (HRV) by Task Force Monitor; and (v) QT, QRS, QT, P, QRSD by electrocardiogram (ECG). Statistical analysis included Hedge’s g correction for small samples bias, and the results are shown using the Hedge’s g effect size and 95% CI, in line with precision medicine prerequisites. Results: Significant differences in pulse wave velocity (PWV) (g = 0.964 [0.296, 1.632]), subendocardial viability ratio (SEVR) carotid (g = −0.679 [−1.329, −0.030]), pulse pressure (PP) carotid (g = 0.942 [0.275, 1.608]), systolic pressure (SP) carotid (g = 0.785 [0.129, 1.440]), free-testosterone (g = 0.677 [0.042, 0.312]), and Delta4-androstenedione (g = 0.735 [0.097, 0.373]) were observed between PCOS patients and controls. No differences were detected in the remaining endocrine and PWA or ECG biomarkers. Conclusions: Our multidisciplinary approach showed early onset of vascular dysfunction, predisposition to hypertension, thermoregulation delays, and metabolic syndrome changes in adolescent/young adult PCOS.

Genomic correlation, shared loci, and causal relationship between obesity and polycystic ovary syndrome: a large-scale genome-wide cross-trait analysis

BACKGROUND

The comorbidity between polycystic ovary syndrome (PCOS) and obesity has long been observed in clinical settings, but their shared genetic basis remains unclear.

METHODS

Leveraging summary statistics of large-scale GWAS(s) conducted in European-ancestry populations on body mass index (adult BMI, Nfemale=434,794; childhood BMI, N=39,620), waist-to-hip ratio (WHR, Nfemale=381,152), WHR adjusted for BMI (WHRadjBMI, Nfemale=379,501), and PCOS (Ncase=10,074, Ncontrol=103,164), we performed a large-scale genome-wide cross-trait analysis to quantify overall and local genetic correlation, to identify shared loci, and to infer causal relationship.

RESULTS

We found positive genetic correlations between PCOS and adult BMI (rg=0.47, P=2.19×10-16), childhood BMI (rg=0.31, P=6.72×10-5), and WHR (rg=0.32, P=1.34×10-10), all withstanding Bonferroni correction. A suggestive significant genetic correlation was found between PCOS and WHRadjBMI (rg=0.09, P=0.04). Partitioning the whole genome into 1703 nearly independent regions, we observed a significant local genetic correlation for adult BMI and PCOS at chromosome 18: 57630483-59020751. We identified 16 shared loci underlying PCOS and obesity-related traits via cross-trait meta-analysis including 9 loci shared between BMI and PCOS (adult BMI and PCOS: 5 loci; childhood BMI and PCOS: 4 loci), 6 loci shared between WHR and PCOS, and 5 loci shared between WHRadjBMI and PCOS. Mendelian randomization (MR) supported the causal roles of both adult BMI (OR=2.92, 95% CI=2.33-3.67) and childhood BMI (OR=2.76, 95% CI=2.09-3.66) in PCOS, but not WHR (OR=1.19, 95% CI=0.93-1.52) or WHRadjBMI (OR=1.03, 95% CI=0.87-1.22). Genetic predisposition to PCOS did not seem to influence the risk of obesity-related traits.

CONCLUSIONS

Our cross-trait analysis suggests a shared genetic basis underlying obesity and PCOS and provides novel insights into the biological mechanisms underlying these complex traits. Our work informs public health intervention by confirming the important role of weight management in PCOS prevention.

Obesity and polycystic ovary syndrome

The increased global prevalence of obesity over the last 40-years has driven a rise in prevalence of obesity-related co-morbidities, including polycystic ovary syndrome (PCOS). On a background of genetic susceptibility, PCOS often becomes clinically manifest following weight gain, commonly during adolescence. A common endocrinopathy affecting between 6%-10% of reproductive-age women, PCOS presents with the cardinal features of hyperandrogenism, reproductive and metabolic dysfunction. PCOS associates with insulin resistance, independently of (but amplified by) obesity. Insulin resistance in PCOS is characterized by abnormal post-receptor signalling within the phosphatidylinositol-kinase (PI3-K) pathway. Multiple factors (including most notably, weight gain) contribute towards the severity of insulin resistance in PCOS. Compensatory hyperinsulinaemia ensues, resulting in over-stimulation of the (intact) post-receptor mitogen-activated protein kinase (MAP-K) insulin pathway, with consequent implications for steroidogenesis and ovarian function. In this concise review, we explore the effects of weight gain and obesity on the pathogenesis of PCOS from the perspective of its three cardinal features of hyperandrogenism, reproductive and metabolic dysfunction, with a focus on the central mediating role of the insulin pathway. We also consider key lifestyle strategies for the effective management of obese and overweight women with PCOS.

Obesity, but not hyperandrogenism or insulin resistance, predicts skeletal muscle mass in reproductive-aged women with polycystic ovary syndrome: A systematic review and meta-analysis of 45 observational studies

Women with polycystic ovary syndrome (PCOS) exhibit reduced muscle insulin-mediated glucose uptake, potentially attributed to altered muscle mass; however, this is inconclusive. Altered muscle mass may aggravate PCOS complications. Our systematic review and meta-analysis evaluated whether PCOS alters muscle mass and function. Databases (MEDLINE, Web of Science, Scopus) were searched through September 2, 2020, for studies documenting skeletal muscle mass (lean tissue mass) and function (strength) in PCOS and control groups. The primary outcome was total lean body mass (LBM) or fat-free mass (FFM). Data were pooled by random-effects models and expressed as mean differences and 95% confidence intervals. Forty-five studies (n = 3676 participants) were eligible. Women with PCOS had increased total (0.83 [0.08,1.58] kg; p = 0.03; I²  = 72.0%) yet comparable trunk (0.84 [-0.37,2.05] kg; p = 0.15; I²  = 73.0%) LBM or FFM versus controls. Results of meta-regression analyses showed no associations between mean differences between groups in total testosterone or homeostatic model assessment of insulin resistance and total or trunk LBM or FFM (All: p ≥ 0.75). Mean differences in body mass index (BMI) were associated with total (0.65 [0.23,1.06] kg; p < 0.01; I²  = 56.9%) and trunk (0.56 [0.11,1.01] kg; p = 0.02; I²  = 42.8%) LBM or FFM. The PCOS subgroup with BMI ≥ 25 kg/m² had greater total LBM or FFM versus controls (1.58 [0.82,2.34] kg; p < 0.01; I²  = 64.0%) unlike the PCOS subgroup with BMI < 25 kg/m² (-0.45 [-1.94,1.05] kg; p = 0.53; I²  = 69.5%). Appendicular lean mass and muscle strength data were contradictory and described narratively, as meta-analyses were impossible. Women with PCOS have higher total and trunk lean tissue mass attributed to overweight/obesity, unlike hyperandrogenism or insulin resistance.

Adipocyte and steroidogenic cell cross-talk in polycystic ovary syndrome

BACKGROUND

Metabolic and endocrine alterations in women with polycystic ovary syndrome (PCOS) affect adipose tissue mass and distribution. PCOS is characterised by hyperandrogenism, obesity and adipocyte dysfunction. Hyperandrogenism in PCOS drives dysfunctional adipocyte secretion of potentially harmful adipocytokines. Glucocorticoids and sex-steroids modulate adipocyte development and function. For their part, adipocyte products interact with adrenal and ovarian steroidogenic cells. Currently, the relationship between adipocyte and steroidogenic cells is not clear, and for these reasons, it is important to elucidate the interrelationship between these cells in women with and without PCOS.

OBJECTIVE AND RATIONALE

This comprehensive review aims to assess current knowledge regarding the interrelationship between adipocytes and adrenal and ovarian steroidogenic cells in animal models and humans with or without PCOS.

SEARCH METHODS

We searched for articles published in English and Portuguese in PubMed. Keywords were as follows: polycystic ovary syndrome, steroidogenesis, adrenal glands, theca cells, granulosa cells, adipocytes, adipocytokines, obesity, enzyme activation, and cytochrome P450 enzymes. We expanded the search into the references from the retrieved articles.

OUTCOMES

Glucocorticoids and sex-steroids modulate adipocyte differentiation and function. Dysfunctional adipocyte products play important roles in the metabolic and endocrine pathways in animals and women with PCOS. Most adipokines participate in the regulation of the hypothalamic-pituitary-adrenal and ovarian axes. In animal models of PCOS, hyperinsulinemia and poor fertility are common; various adipokines modulate ovarian steroidogenesis, depending on the species. Women with PCOS secrete unbalanced levels of adipocyte products, characterised by higher levels of leptin and lower levels of adiponectin. Leptin expression positively correlates with body mass index, waist/hip ratio and levels of total cholesterol, triglyceride, luteinising hormone, oestradiol and androgens. Leptin inhibits the production of oestradiol and, in granulosa cells, may modulate 17-hydroxylase and aromatase enzyme activities. Adiponectin levels negatively correlate with fat mass, body mass index, waist-hip ratio, glucose, insulin and triglycerides, and decrease androgen production by altering expression of luteinising hormone receptor, steroidogenic acute regulatory protein, cholesterol-side-chain cleavage enzyme and 17-hydroxylase. Resistin expression positively correlates with body mass index and testosterone, and promotes the expression of 17-hydroxylase enzyme in theca cells. The potential benefits of adipokines in the treatment of women with PCOS require more investigation.

WIDER IMPLICATIONS

The current data regarding the relationship between adipocyte products and steroidogenic cells are conflicting in animals and humans. Polycystic ovary syndrome is an excellent model to investigate the interrelationship among adipocyte and steroidogenic cells. Women with PCOS manifest some pathological conditions associated with hyperandrogenism and adipocyte products. In animals, cross-talk between cells may vary according to species, and the current review suggests opportunities to test new medications to prevent or even reverse several harmful sequelae of PCOS in humans. Further studies are required to investigate the possible therapeutic application of adipokines in women with obese and non-obese PCOS. Meanwhile, when appropriate, metformin use alone, or associated with flutamide, may be considered for therapeutic purposes.

Imaging-Based Body Fat Distribution in Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis

BACKGROUND

Women with polycystic ovary syndrome (PCOS) are generally considered to be central obese and at higher risks of metabolic disturbances. Imaging methods are the golden standards for detecting body fat distribution. However, evidence based on magnetic resonance imaging (MRI) and computed tomography (CT) is conflicting. This study systematically reviewed the imaging-based body fat distribution in PCOS patients and quantitatively evaluated the difference in body fat distribution between PCOS and BMI-matched controls.

METHODS

PUBMED, EMBASE, and Web of Science were searched up to December 2019, and studies quantitatively compared body fat distribution by MRI, CT, ultrasound, or X-ray absorptiometry (DXA) between women with PCOS and their BMI-matched controls were included. Two researchers independently reviewed the articles, extract data and evaluated the study quality based on Newcastle-Ottawa Scale (NOS).

RESULTS

47 studies were included in systematic review and 39 were eligible for meta-analysis. Compared to BMI-matched controls, higher accumulations of visceral fat (SMD 0.41; 95%CI: 0.23-0.59), abdominal subcutaneous fat (SMD 0.31; 95%CI: 0.20-0.41), total body fat (SMD 0.19; 95% CI: 0.06-0.32), trunk fat (SMD 0.47; 95% CI: 0.17-0.77), and android fat (SMD 0. 36; 95% CI: 0.06-0.66) were identified in PCOS group. However, no significant difference was identified in all the above outcomes in subgroups only including studies using golden standards MRI or CT to evaluate body fat distribution (SMD 0.19; 95%CI: -0.04-0.41 for visceral fat; SMD 0.15; 95%CI: -0.01-0.31 for abdominal subcutaneous fat). Moreover, meta-regression and subgroup analyses showed that young and non-obese patients were more likely to accumulate android fat.

CONCLUSIONS

PCOS women seem to have abdominal fat accumulation when compared with BMI-matched controls. However, MRI- and CT- assessed fat distribution was similar between PCOS and controls, suggesting central obesity may be independent of PCOS. These findings will help us reappraise the relationship between PCOS and abnormal fat deposition and develop specialized lifestyle interventions for PCOS patients.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO, identifier CRD42018102983.

Obesity and insulin resistance in children

PURPOSE OF REVIEW

It is well known that obesity represents the main modifiable risk factor for insulin resistance in children and adolescents; obesity-induced insulin resistance in children is the most important risk factor for developing cardiovascular diseases and type 2 diabetes in adulthood. The mechanisms through which obesity causes insulin resistance are complex and not completely known to date.

RECENT FINDINGS

In children, global adiposity is the main factor determining insulin resistance. Excessive fatty acids play a determinant role in the pathogenesis of insulin resistance in obese children, inducing an increased production of acetyl-CoA in the liver and enhancing inflammation in adipose tissue. The aetiology of insulin resistance in polycystic ovary syndrome is multifactorial and still debated.

SUMMARY

The aim of this review is to present an updated frame and new insights of the numerous pathways involved in the development of insulin resistance in obese patients, focusing on the peculiarities of children and adolescents. Improving the knowledge of mechanisms through which obesity leads to insulin resistance is fundamental in order to recommend particular follow-up and possible treatment to specific categories of obese children and adolescents.

Tissue fat quantification by magnetic resonance imaging: proton density fat fraction in polycystic ovary syndrome

RESEARCH QUESTION

What are the potential differences between lean women with and without polycystic ovary syndrome (PCOS) in fat content in liver, vertebrae, paraspinal muscles, pancreas, subcutaneous (SCAT) and visceral adipose tissue (VAT)? Magnetic resonance imaging proton density fat fraction (PDFF) was used to establish these differences. This is a novel, non-invasive, operator-independent method with comparable diagnostic sensitivity and specificity to histologic examination for fatty liver disease, and strong correlation with muscle strength in neuromuscular studies.

DESIGN

Twenty lean women with PCOS (mean age 23.9 ± 2.3; body mass index [BMI] 22.4 ± 2.0) and 20 age- and BMI-matched healthy women (mean age 24.9 ± 1.5; BMI 21.5 ± 1.9) were enrolled in this cross-sectional study. Anthropometric, biochemical and hormonal evaluations along with magnetic resonance imaging proton density fat fraction were carried out.

RESULTS

PDFF% measurements of liver, SCAT and VAT were higher in the PCOS group, indicating increased fat content in these areas in lean women with PCOS compared with controls (P = 0.045, 0.030 and 0.037, respectively). In contrast, PDFF% values of vertebrae and paraspinal muscles in the PCOS group were lower than controls (P = 0.038 and 0.05, respectively). Pancreatic PDFF% measurements were similar between the groups. In the PCOS group, PDFF% of VAT was positively correlated with free androgen index (r = 0.69, P = 0.002).

CONCLUSIONS

PDFF% measurement, an MRI-based novel biomarker, reveals increased fat in liver, SCAT and VAT, and decreased fat in vertebral bones and paraspinal muscles of lean women with PCOS.

Obesity and Polycystic Ovary Syndrome: Implications for Pathogenesis and Novel Management Strategies

Polycystic ovary syndrome (PCOS) is a common female condition typified by reproductive, hyperandrogenic, and metabolic features. Polycystic ovary syndrome is a genetic condition, exacerbated by obesity. There is a close link between obesity and PCOS based on epidemiological data, and more recently corroborated through genetic studies. There are many mechanisms mediating the effects of weight-gain and obesity on the development of PCOS. The metabolic effects of insulin resistance and steroidogenic and reproductive effects of hyperinsulinaemia are important mechanisms. Adipokine production by subcutaneous and visceral fat appears to play a part in metabolic function. However, given the complexity of PCOS pathogenesis, it is important also to consider possible effects of PCOS on further weight-gain, or at least on hampering attempts at weight-loss and maintenance through lifestyle changes. Possible mediators of these effects include changes in energy expenditure, mental ill health, or physical inactivity. In this brief review, we discuss the main mechanisms that underlie the association between obesity and PCOS, from divergent perspectives of weight-gain contributing to development of PCOS and vice versa. We also consider novel management options for women with obesity and PCOS.

Lean Women on Metformin and Oral Contraceptives for Polycystic Ovary Syndrome Demonstrate a Dehydrated Osteosarcopenic Phenotype: A Pilot Study

Scarce data exist on the body composition of lean women with polycystic ovary syndrome (PCOS) on treatment with metformin and oral contraceptives (OCs). Thirty-four lean (body mass index 18.5–24.9 kg/m²) women (17 with PCOS on metformin and OCs treatment for six months and 17 controls) aged 18–40 years were assessed for body composition parameters (fat, muscle, glycogen, protein masses, bone masses, and body water compartments) and phase angles. PCOS patients demonstrated lower muscle, glycogen and protein masses (U = 60, p = 0.003), along with a lower bone mineral content and mass (U = 78, p = 0.021; U = 74, p = 0.014) than their healthy counterparts, while total and abdominal fat masses were similar between the two groups. PCOS patients also exhibited increased extracellular body water (U = 10, p < 0.001) and decreased intracellular water, compatible with low-grade inflammation and cellular dehydration. Key differences in body composition between women with PCOS and controls demonstrated an osteosarcopenic body composition phenotype in PCOS patients. A confirmation of these findings in larger studies may render osteosarcopenia management a targeted adjunct therapy in women with PCOS.

Dietary intake, body composition and metabolic parameters in women with polycystic ovary syndrome

BACKGROUND & AIMS

Overweight polycystic ovary syndrome (PCOS) patients present exacerbation of clinical symptoms and increased risk for chronic diseases. The effects of inadequate dietary intake have been investigated in body weight gain in PCOS women. The aim of this study was to evaluate the dietary pattern and to analyze possible associations with the metabolism and body composition in PCOS women.

METHODS

A case-control study was performed with thirty-nine women diagnosed with PCOS and thirty-five control women, matched by age and body mass index. A body composition assessment was performed by Dual-energy X-ray absorptiometry (DXA) and food intake was assessed using the seven-day food record. The metabolic parameters evaluated were fasting glucose, insulin, Homeostasis Model Assessment-estimated Insulin Resistance (HOMA-IR) index and oral glucose tolerance test (OGTT).

RESULTS

No significant differences were observed in dietary intake of women with or without PCOS. In the analysis of the associations between dietary intake, metabolic parameters and body composition, PCOS women showed an inverse correlation between dietetic fiber intake and HOMA-IR index (r = -0.365; p = 0.024). Also in PCOS group, dietary fiber intake presented an inverse correlation with total body fat (r = -0.401; p = 0.011), trunk fat (r = -0.388; p = 0.015), and android fat (r = -0.431; p = 0.006). PCOS women group had higher glucose 120', compared to those without PCOS (p = 0.015).

CONCLUSION

These results provide evidence that the adequate intake of dietary fiber contributes to more appropriate body composition and glucose metabolism in PCOS women and possibly toward the prevention of chronic non-communicable diseases.

Effect of Exercise on Ovulation: A Systematic Review

BACKGROUND

Infertility has been described as a devastating life crisis for couples, and has a particularly severe effect on women, in terms of anxiety and depression. Anovulation accounts for around 30% of female infertility, and while lifestyle factors such as physical activity are known to be important, the relationship between exercise and ovulation is multi-factorial and complex, and to date there are no clear recommendations concerning exercise regimes.

OBJECTIVES

The objective of this review was to systematically assess the effect of physical activity on ovulation and to discuss the possible mechanisms by which exercise acts to modulate ovulation in reproductive-age women. This was done with a view to improve existing guidelines for women wishing to conceive, as well as women suffering from anovulatory infertility.

SEARCH METHODS

The published literature was searched up to April 2016 using the search terms ovulation, anovulatory, fertility, sport, physical activity and exercise. Both observational and interventional studies were considered, as well as studies that combined exercise with diet. Case studies and articles that did not report anovulation/ovulation or ovarian morphology as outcomes were excluded. Studies involving administered drugs in addition to exercise were excluded.

RESULTS

In total, ten interventions and four observational cohort studies were deemed relevant. Cohort studies showed that there is an increased risk of anovulation in extremely heavy exercisers (>60 min/day), but vigorous exercise of 30-60 min/day was associated with reduced risk of anovulatory infertility. Ten interventions were identified, and of these three have studied the effect of vigorous exercise on ovulation in healthy, ovulating women, but only one showed a significant disruption of ovulation as a result. Seven studies have investigated the effect of exercise on overweight/obese women suffering from polycystic ovary syndrome (PCOS) or anovulatory infertility, showing that exercise, with or without diet, can lead to resumption of ovulation. The mechanism by which exercise affects ovulation is most probably via modulation of the hypothalamic-pituitary-gonadal (HPG) axis due to increased activity of the hypothalamic-pituitary-adrenal (HPA) axis. In heavy exercisers and/or underweight women, an energy drain, low leptin and fluctuating opioids caused by excess exercise have been implicated in HPA dysfunction. In overweight and obese women (with or without PCOS), exercise contributed to lower insulin and free androgen levels, leading to the restoration of HPA regulation of ovulation.

CONCLUSIONS

Several clear gaps have been identified in the existing literature. Short-term studies of over-training have not always produced the disturbance to ovulation identified in the observational studies, bringing up the question of the roles of longer term training and chronic energy deficit. We believe this merits further investigation in specific cohorts, such as professional athletes. Another gap is the complete absence of exercise-based interventions in anovulatory women with a normal body mass index (BMI). The possibly unjustified focus on weight loss rather than the exercise programme means there is also a lack of studies comparing types of physical activity, intensity and settings. We believe that these gaps are delaying an efficient and effective use of exercise as a therapeutic modality to treat anovulatory infertility.

Quantification of visceral adipose tissue in polycystic ovary syndrome: dual-energy X-ray absorptiometry versus magnetic resonance imaging

Background Polycystic ovary syndrome (PCOS) is associated with frequent overweight and abdominal obesity. Quantifying visceral adipose tissue (VAT) in PCOS patients can be a tool to assess metabolic risk and monitor effects of treatment. The latest dual-energy X-ray absorptiometry (DXA) technology can measure VAT and subcutaneous adipose tissue (SAT) in a clinical setting. Purpose To compare DXA-measurements of VAT and SAT with the gold standard MRI in women with PCOS. Material and Methods A cross-sectional study of 67 overweight women with PCOS was performed. Measurements of VAT and SAT were performed by DXA in a 5-cm thick transverse slice at the L4/L5 level and by MRI in a 1-cm thick transverse slice at the L3 level. Results Mean (SD) DXA-VAT was 81 (34) cm³, DXA-SAT was 498 (118) cm³, MRI-VAT was 117 (48) cm³, and MRI-SAT was 408 (122) cm³. MRI and DXA measures of VAT (r = 0.82, P < 0.001) and SAT (r = 0.92, P < 0.001) correlated closely, and DXA-VAT was stronger correlated with MRI-VAT than BMI (r = 0.62, P < 0.001) and waist circumference (r = 0.60, P < 0.001). DXA-VAT coefficient of variance was 6.7% and inter correlation coefficient was 0.98. Bland-Altman analyses showed DXA to slightly underestimate VAT and SAT measurements compared with MRI. Conclusion DXA and MRI measurements of VAT and SAT correlated closely despite different size of region of interest, and DXA-VAT was superior to waist circumference and BMI in estimating MRI-VAT. DXA showed high reproducibility making it is suitable for repeated measurements in the same individual over time.

Ultrasonographic evaluation of intra-abdominal fat distribution and study of its influence on subclinical atherosclerosis in women with polycystic ovarian syndrome

OBJECTIVES

To evaluate abdominal fat distribution and cardiovascular disease (CVD) risk factors in women with polycystic ovarian syndrome (PCOS) and to determine the independent risk factors for subclinical atherosclerosis.

STUDY DESIGN

One hundred and twenty-four women with PCOS were compared with 118 age and BMI-matched controls. Abdominal obesity was assessed as the waist-to-hip ratio (WHR) and abdominal fat distribution was measured as subcutaneous fat thickness (SFT), pre-peritoneal fat thickness (PFT) and visceral fat thickness (VFT) using Ultrasound (US). Markers of subclinical atherosclerosis (carotid intima-media thickness (CIMT) and brachial artery flow-mediated dilation (FMD)) and other CVD risk factors such as fasting glucose, fasting insulin (FIN), insulin resistance (HOMA-IR), androgens and lipid levels were measured.

RESULTS

In comparison to controls, PCOS women had increased VFT and subclinical atherosclerosis. PCOS women also had higher FIN and lower levels of high-density lipoprotein cholesterol (HDL-C) and an elevated total cholesterol (TC) to HDL-C ratio. In PCOS women, VFT showed a strong association with CIMT and WHR showed a strong association with FIN and HOMA-IR; however these associations were weak in controls. Multiple regression analysis revealed VFT as the strongest independent predictor of CIMT in PCOS women whereas age was the only independent predictor of CIMT and FMD in controls.

CONCLUSIONS

While age can be an independent baseline risk factor for subclinical atherosclerosis in normal menstruating women, excess visceral fat accumulation is the most important predictor of atherosclerosis in PCOS patients.

Correlation of clinical, radiological and serum analysis of hypovitaminosis D with polycystic ovary syndrome: A systematic review and meta-analysis

Objectives

Vitamin D deficiency leads to a myriad of healthcare problems from cardiovascular, metabolic, endocrine, and neurological disorders to cancer. However, the role of vitamin D deficiency in the etiopathogenesis of polycystic ovary syndrome (PCOS) is unclear. This study aimed to measure objectively the impact of vitamin D deficiency on PCOS through a quantitative assessment of the existing literature.

Methods

We conducted a systematic search of published literature on the following online databases using EndnoteX7: MEDLINE, EBSCO, ScienceDirect, and CINAHL. Searches were limited to full-text English-language journal articles published between 2006 and 2016. Eligible clinical studies employed control group data to investigate the association between vitamin D deficiency and PCOS.

Results

We identified 10 studies eligible for this meta-analysis. The summary intervention effect calculated for this meta-analysis yields a value of −0.45 with a confidence interval of −1.68 to 0.79, supporting the hypothesis that lower concentrations of serum vitamin D play a role in the hormonal and metabolic dysregulation seen in PCOS.

Conclusions

Lower concentrations of serum vitamin D are associated with a greater risk of developing PCOS. However, the therapeutic effect of vitamin D in the setting of PCOS remains unclear and must be determined by future interventional studies.

Metabolic and androgen profile in underweight women with polycystic ovary syndrome

INTRODUCTION

Polycystic ovary syndrome (PCOS) is a disorder associated with insulin resistance and obesity. Aim of our study is to clarify the prevalence of underweight in PCOS patients and whether metabolic and androgen profiles of PCOS differ depending on normal or low body weight.

METHODS

Out of 1269 consecutive patients with PCOS recruited from the Department of Endocrinology and Metabolism at the University of Duisburg-Essen, 19 patients (1.5%) were underweight and were compared to 375 lean PCOS subjects (29.6%). Clinical and endocrine parameters were evaluated. Insulin resistance was assessed by 3-h oral glucose tolerance test (OGTT).

RESULTS

Prevalence of type 2 diabetes and free androgen index did not differ between the two groups. Total cholesterol and low density lipoprotein levels were significantly lower in the group of underweight patients. While no significant difference was found for the Homeostasis model assessment (HOMA) index at fasting state, the HOMA-M120, calculated 2 h after glucose intake in OGTT, was significantly higher in underweight patients. Underweight patients also showed significantly higher postprandial insulin secretion after glucose intake in OGTT. Six underweight PCOS patients received metformin treatment for oligomenorrhea. An improvement of the menstrual cycle was observed in three cases, while two patients were lost to follow up and one discontinued therapy due to side effects.

CONCLUSIONS

The prevalence of underweight in patients with PCOS is very low. Underweight in PCOS is associated with higher postprandial insulin levels. Several of our underweight patients were able to achieve regular menstrual cycle under metformin therapy.

Testosterone increases CCL-2 expression in visceral adipose tissue from obese women of reproductive age

CONTEXT

Hyperandrogenic states and obesity in women are associated with insulin-resistance. Androgens reduce glucose uptake in adipose cells and increase TNFα production in peripheral monocytes. Inflammatory cytokines have a known detrimental effect on insulin resistance. The aim of the present study was to explore the role of testosterone in local cytokine production in visceral adipose tissue from women of reproductive age.

DESIGN

Twenty-four women 18-40 years old, undergoing elective abdominal surgery for benign and non-inflammatory conditions, were recruited for the study. Women with clinical hyperandrogenism, diabetes, hepatic or renal dysfunction, hypothyroidism, BMI> 40 or drugs known to interfere with hormonal levels or fat metabolism were excluded. Women were classified into two groups according to BMI, non-obese (NO; BMI < 30) and obese (O; BMI 30-40). A basal blood sample was drawn at the time of surgery for the measurement of glucose, insulin, total testosterone, lipid profile and circulating CCL-2, IL-6 and total adiponectin. Omental fat tissue (10 g) was obtained in all women. Samples of 300 mg of minced adipose tissue were incubated with vehicle (CTL) or testosterone (T) 10^-9 M to 10^-6 M for 24, 48 or 72 h. CCL-2, IL-6, TNFα, androgen Receptor (AR) mRNA levels were measured by Real Time quantitative polymerase chain reaction (qPCR) and normalized to GAPDH expression. Secretion of CCL-2 and IL-6 was measured in conditioned media by ELISA.

RESULTS

Expression of CCL-2 and IL-6 at 24 h in CTLs was significantly higher in the obese group compared to the non-obese group (2.81 ± 0.43 fold for CCL-2; p = 0.005 and 3.26 ± 0.73 fold for IL-6; p = 0.03). At 48 and 72 h there were no differences between both groups in any of the markers. In the total group without T stimulation (CTL) there were significant correlations between: TNFα expression at 24 h and BMI (r = 0.708; p = 0.005), TGC levels (r = 0.904; p = 0.004), total Cholesterol (r = 0.904; p = 0.0046) and IL-6 expression at 24 h (r = 0.642; p = 0.015). CCL-2 expression at 24 h was correlated with BMI (r = 0.637; p = 0.007) and TGC levels (r = 0.700; p = 0.02). Stimulation with T 10^-6 M for 72 h produced an increase in CCL-2 expression, which was significantly larger in the obese group compared to the non-obese group (2.04 ± 0.44 in obese vs 0.82 ± 0.11 in non-obese; p = 0.015). Moreover, in the whole group there was a positive correlation between CCL-2 expression in T-treated tissues (10^-6 M 72 h) and BMI (r = 0.514; p = 0.017). Cytokine determinations followed the same pattern as mRNA but without significant differences.

CONCLUSIONS

Testosterone increases CCL-2 expression in visceral adipose tissue from obese women of reproductive age. This response is associated to BMI. These results show new possible mechanisms connecting androgens to insulin resistance and chronic inflammation.

Effect of Electroacupuncture on Visceral and Hepatic Fat in Women with Abdominal Obesity: A Randomized Controlled Study Based on Magnetic Resonance Imaging

OBJECTIVE

Visceral adipose tissue (VAT) and hepatic fat deposition are the most important risk factors for women's health. Acupuncture, including electroacupuncture (EA), is used to treat obesity throughout the world. The effect of EA is evaluated mainly by body mass index (BMI) and waist circumference (WC). Few studies have assessed its effect in reducing VAT volume and hepatic fat fraction (HFF) based on an exact measurement method such as magnetic resonance imaging (MRI). This study aimed to resolve this issue.

METHODS

Thirty subjects were randomly divided into two groups. The control group (n = 15) did not receive any intervention and maintained a normal diet and their usual exercise habits. The treatment group (n = 15) received EA three times a week for 3 months. BMI and WC were measured using different devices. VAT and HFF were measured by MRI and calculated by related software before and after the intervention.

RESULTS

A marked difference was evident in group that received EA treatment in the following tests. The differences in BMI (U = 21.00, p < 0.001), WC (U = 40.50, p = 0.002), VAT volume (U = 13.00, p < 0.001), and mean HFF (U = 0.00, p < 0.001) before and after the intervention in the treatment group were distinct and significant compared with those of the control group. Three months later, the treatment group showed a lower BMI (W = 91.00, p = 0.001), WC (t = 4.755, p < 0.001), VAT volume (t = 5.164, p < 0.001), and mean HFF (W = 120.00, p = 0.001) compared with pretreatment levels. Compared with the control group, the treatment group showed a lower VAT volume (t = 60.00, p = 0.029) after 3 months of treatment. After 3 months, the control group showed higher mean HFF (t = -2.900, p = 0.012) and VAT volume (W = 11.50, p = 0.006) compared with their initial levels.

CONCLUSION

Based on MRI evaluation, this randomized controlled study proved that EA treatment reduces BMI and WC as well as VAT volume and HFF in women with abdominal obesity.

Bioimpedance Measurements in Adolescents with Polycystic Ovary Syndrome: A Pilot Study

Limited data are available on the body composition of adolescent women with polycystic ovary syndrome (PCOS). The aim of this study was to examine differences in body composition indices of metabolism, homeostasis and inflammation, between Greek adolescent females suffering from PCOS and age- and body mass index (BMI)-matched non-PCOS controls. Thirteen PCOS patients and nine non-PCOS controls, aged 13-24 years participated in this cross-sectional study. Study participants underwent assessment by a novel dual frequency bioimpedance device (BIA-ACC). The following body composition indices were measured in each adolescent: extra cellular water (ECW) as inflammation marker, total body water (TBW) as homeostasis marker, extracellular mass to body cell mass ratio (ECM/BCM), fat mass (FM), fat-free mass (FFM) and intracellular water (ICW) as markers of body mass composition and metabolism. Non-linear analysis showed no statistically significant differences in the body composition characteristics between PCOS patients and controls. Further studies with larger sample sizes are needed to confirm whether adolescents with PCOS actually have similar body composition profile with their non-PCOS peers.

Debates Regarding Lean Patients with Polycystic Ovary Syndrome: A Narrative Review

Polycystic ovary syndrome (PCOS) is a complex syndrome showing the clinical features of an endocrine/metabolic disorder, including hyperinsulinemia and hyperandrogenism. Two phenotypes are present, either lean or obese, with different biochemical, hormonal, and metabolic profiles. Evidence suggests many treatment modalities that can be applied. However, many of these modalities were found to be not suitable for the lean phenotype of PCOS. Much contradictory research was found regarding lean patients with PCOS. The aim of this narrative review is to shed light on the debate prevailing regarding characteristics, as well as metabolic, hematological, and potential management modalities. Literature review was performed from January 1, 2000 to March 31, 2017 with specific word search such as lean PCOS, hormonal abnormalities in lean PCOS, and the management of lean PCOS. All retrieved articles were carefully assessed, and data were obtained. We could conclude that the debate is still prevailing regarding this specific lean population with PCOS, especially with regard to their characteristics and management modalities. Further studies are still required to resolve this debate on the presence of PCOS in lean women.

Peri-muscular adipose tissue may play a unique role in determining insulin sensitivity/resistance in women with polycystic ovary syndrome

STUDY QUESTION

Do the determinants of insulin sensitivity/resistance differ in women with and without polycystic ovary syndrome (PCOS)?

SUMMARY ANSWER

Peri-muscular thigh adipose tissue is uniquely associated with insulin sensitivity/resistance in women with PCOS, whereas adiponectin and thigh subcutaneous adipose are the main correlates of insulin sensitivity/resistance in women without PCOS.

WHAT IS KNOWN ALREADY

In subject populations without PCOS, insulin sensitivity/resistance is determined by body fat distribution and circulating concentrations of hormones and pro-inflammatory mediators. Specifically, visceral (intra-abdominal) adipose tissue mass is adversely associated with insulin sensitivity, whereas thigh subcutaneous adipose appears protective against metabolic disease. Adiponectin is an insulin-sensitizing hormone produced by healthy subcutaneous adipose that may mediate the protective effect of thigh subcutaneous adipose. Testosterone, which is elevated in PCOS, may have an adverse effect on insulin sensitivity/resistance.

STUDY DESIGN, SIZE, DURATION

Cross-sectional study of 30 women with PCOS and 38 women without PCOS; data were collected between 2007 and 2011.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Participants were group-matched for obesity, as reflected in BMI (Mean ± SD; PCOS: 31.8 ± 6.0 kg/m²; without PCOS: 31.5 ± 5.0 kg/m²). The whole-body insulin sensitivity index (WBISI) was assessed using a mixed-meal tolerance test; Homeostasis Model Assessment-Insulin resistance (HOMA-IR) was determined from fasting insulin and glucose values. Adipose tissue distribution was determined by computed tomography (CT) scan. Partial correlation analysis, adjusting for total fat mass, was used to identify correlates of WBISI and HOMA-IR within each group of women from measures of body composition, body fat distribution, reproductive-endocrine hormones and adipokines/cytokines. Stepwise multiple linear regression analysis was used to identify the variables that best predicted WBISI and HOMA-IR.

MAIN RESULTS AND THE ROLE OF CHANCE

Among women with PCOS, both WBISI and HOMA-IR were best predicted by peri-muscular adipose tissue cross-sectional area. Among women without PCOS, both WBISI and HOMA-IR were best predicted by adiponectin and thigh subcutaneous adipose tissue.

LIMITATIONS, REASONS FOR CAUTION

Small sample size, group matching for BMI and age, and the use of surrogate measures of insulin sensitivity/resistance.

WIDER IMPLICATIONS OF THE FINDINGS

Because insulin resistance is the root cause of obesity and comorbidities in PCOS, determining its cause could lead to potential therapies. Present results suggest that peri-muscular adipose tissue may play a unique role in determining insulin sensitivity/resistance in women with PCOS. Interventions such as restriction of dietary carbohydrates that have been shown to selectively reduce fatty infiltration of skeletal muscle may decrease the risk for type 2 diabetes in women with PCOS.

STUDY FUNDING/COMPETING INTERESTS

The study was supported by National Institutes of Health grants R01HD054960, R01DK67538, P30DK56336, P60DK079626, M014RR00032 and UL1RR025777. The authors have no conflicts of interest.

TRIAL REGISTRATION NUMBER

NCT00726908.

Hyperandrogenism Accompanies Increased Intra-Abdominal Fat Storage in Normal Weight Polycystic Ovary Syndrome Women

CONTEXT

Normal weight polycystic ovary syndrome (PCOS) women may have altered adipose structure-function underlying metabolic dysfunction.

OBJECTIVE

This study examines whether adipose structure-functional changes exist in normal weight PCOS women and correlate with hyperandrogenism and/or hyperinsulinemia.

DESIGN

This is a prospective cohort study.

SETTING

The setting was an academic medical center.

PATIENTS

Six normal weight PCOS women and 14 age- and body mass index-matched normoandrogenic ovulatory (NL) women were included.

INTERVENTION(S)

All women underwent circulating hormone and metabolic measurements; frequently sampled intravenous glucose tolerance testing; total body dual-energy x-ray absorptiometry; abdominal magnetic resonance imaging; and SC abdominal fat biopsy.

MAIN OUTCOME MEASURE(S)

Circulating hormones and metabolites, body fat and its distribution, and adipocyte size were compared between PCOS and NL women, and were correlated with each other in all women.

RESULTS

Circulating LH and androgen levels were significantly greater in PCOS than NL women, as were fasting insulin levels, pancreatic β-cell responsiveness to glucose, and total abdominal fat mass. Intra-abdominal fat mass also was significantly increased in PCOS women and was positively correlated with circulating androgen, fasting insulin, triglyceride, and non-high-density lipoprotein cholesterol levels in all women. SC abdominal fat mass was not significantly increased in PCOS women, but contained a greater proportion of small SC abdominal adipocytes that positively correlated with serum androgen levels in all women.

CONCLUSION

Hyperandrogenism in normal weight PCOS women is associated with preferential intra-abdominal fat deposition and an increased population of small SC abdominal adipocytes that could constrain SC adipose storage and promote metabolic dysfunction.

Obesity-related metabolic and reproductive dysfunction: variations between the sexes

Obesity prevalence remains at epidemic levels globally and is showing no signs of abating in either adult or child populations. Areas covered: Obesity-associated metabolic and reproductive diseases appear to be sexually dimorphic. Polycystic Ovary Syndrome (PCOS) and male obesity-associated secondary (hypogonadotrophic) hypogonadism (MOSH) represent two of the most common obesity associated endocrinopathies with sex-specific metabo-reproductive aberrations. These two diseases have entirely separate pathogeneses, with characteristic sex-specific clinico-pathological findings. These differences result from effects of sex-specific hormones, including estrogens and androgens. Such differences in sex-hormones also influence patterns of body-fat distribution. Expert commentary: This article focuses on sex-specific obesity-related metabolic and reproductive dysfunction. To illustrate key sex-related differences in the mechanisms by which obesity contributes towards metabolic and reproductive dysfunction, two common obesity-related conditions affecting women and men are considered: respectively, Polycystic Ovary Syndrome (PCOS) and Male Obesity-associated Secondary Hypogonadism (MOSH).

The impact of hyperandrogenism in female obesity and cardiometabolic diseases associated with polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a common condition characterized by reproductive and hyperandrogenic features and is often associated with obesity and metabolic dysfunction. Overall, women with PCOS have a substantially greater prevalence of metabolic syndrome than women from the general population. Furthermore, PCOS per se (independent of its frequent association with obesity) often confers cardiometabolic risk (including insulin resistance), and its concurrence with obesity often represents a metabolic "double-whammy" from the adverse effects of PCOS and obesity. The introduction of the Rotterdam diagnostic criteria for PCOS in 2003 has broadened the scope of this condition. The Rotterdam diagnostic criteria have also introduced two new phenotypic subgroups (including normoandrogenemic women with PCOS) that have provided novel insights into a potential role for hyperandrogenism in the development of adverse cardiometabolic risk in women with PCOS. Based on evidence from cross-sectional and interventional studies, hyperandrogenism, obesity, and cardiometabolic risk in women appear to be linked through complex and multidirectional pathways. Furthermore, data from obese women without a formal diagnosis of PCOS also suggest that these interrelationships often exist in female obesity per se (in milder forms than occurs in PCOS). Data from female-to-male transsexuals are particularly informative because these show direct effects of hyperandrogenism (induced through exogenous use of androgenic therapies) on fat distribution and cardiometabolic risk in women. A challenge for the future will be to disentangle and improve our understanding of this complex pathogenic web, thereby facilitating novel and targeted therapies for the hyperandrogenic and adverse cardiometabolic manifestations of PCOS.

The relationship between epicardial fat tissue thickness and visceral adipose tissue in lean patients with polycystic ovary syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS) is related to metabolic syndrome, insulin resistance, and cardiovascular metabolic syndromes. This is particularly true for individuals with central and abdominal obesity because visceral abdominal adipose tissue (VAAT) and epicardial adipose tissue (EAT) produce a large number of proinflammatory and proatherogenic cytokines. The present study aimed to determine whether there are changes in VAAT and EAT levels which were considered as indirect predictors for subclinical atherosclerosis in lean patients with PCOS.

METHODS

The clinical and demographic characteristics of 35 patients with PCOS and 38 healthy control subjects were recorded for the present study. Additionally, the serum levels of various biochemical parameters were measured and EAT levels were assessed using 2D-transthoracic echocardiography.

RESULTS

There were no significant differences in mean age (p = 0.056) or mean body mass index (BMI) (p = 0.446) between the patient and control groups. However, the body fat percentage, waist-to-hip ratio, amount of abdominal subcutaneous adipose tissue, and VAAT thickness were higher in the PCOS patient group than in the control group. The amounts of EAT in the patient and control groups were similar (p = 0.384). EAT was correlated with BMI, fat mass, waist circumference, and hip circumference but not with any biochemical metabolic parameters including the homeostasis model assessment of insulin resistance index or the levels of triglycerides, low-density lipoprotein cholesterol, and high-density lipoprotein (HDL) cholesterol. However, there was a small positive correlation between the amounts of VAAT and EAT. VAAT was directly correlated with body fat parameters such as BMI, fat mass, and abdominal subcutaneous adipose thickness and inversely correlated with the HDL cholesterol level.

CONCLUSIONS

The present study found that increased abdominal adipose tissue in patients with PCOS was associated with atherosclerosis. Additionally, EAT may aid in the determination of the risk of atherosclerosis in patients with PCOS because it is easily measured.

Scientific Statement on the Diagnostic Criteria, Epidemiology, Pathophysiology, and Molecular Genetics of Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) is a heterogeneous and complex disorder that has both adverse reproductive and metabolic implications for affected women. However, there is generally poor understanding of its etiology. Varying expert-based diagnostic criteria utilize some combination of oligo-ovulation, hyperandrogenism, and the presence of polycystic ovaries. Criteria that require hyperandrogenism tend to identify a more severe reproductive and metabolic phenotype. The phenotype can vary by race and ethnicity, is difficult to define in the perimenarchal and perimenopausal period, and is exacerbated by obesity. The pathophysiology involves abnormal gonadotropin secretion from a reduced hypothalamic feedback response to circulating sex steroids, altered ovarian morphology and functional changes, and disordered insulin action in a variety of target tissues. PCOS clusters in families and both female and male relatives can show stigmata of the syndrome, including metabolic abnormalities. Genome-wide association studies have identified a number of candidate regions, although their role in contributing to PCOS is still largely unknown.

Adiposity and metabolic dysfunction in polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is the most common hormonal disorder among reproductive-age women and is associated with a high risk for metabolic disorders. Adiposity and insulin resistance are two prevalent conditions in PCOS and the likely culprits for the heightened metabolic risk. Up to 60% of women with PCOS are considered to be overweight or obese, and even among non-obese women with PCOS there is an increased accumulation of adipose tissue in abdominal depots. Insulin resistance in PCOS is unique and independent of obesity, as even non-obese women with this condition are frequently insulin resistant. However, obesity substantially aggravates the insulin resistance and the metabolic and reproductive abnormalities in women with PCOS. Recently, it has been shown that many aspects of adipose tissue function in PCOS are abnormal, and these abnormalities likely predispose to development of insulin resistance even in the absence of obesity. This review provides an overview of these abnormalities and their impact on development of metabolic disorders. At the end, an overview of the therapeutic options for management of adiposity and its complications in PCOS are discussed.

Polycystic Ovary Syndrome: Important Underrecognised Cardiometabolic Risk Factor in Reproductive-Age Women

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder amongst women of reproductive age. Although PCOS is diagnosed exclusively based on reproductive criteria, it is also a metabolic disorder. Insulin resistance, impaired glucose tolerance, type 2 diabetes mellitus, obesity, and dyslipidemia are more common in women with PCOS than in age-comparable women without PCOS. Many of the metabolic abnormalities that manifest in PCOS are worsened by the concurrent incidence of obesity. However, some of these metabolic perturbations occur even in lean women with PCOS and therefore are rightfully recognized as intrinsic to PCOS. The intrinsic factors that produce these metabolic disturbances are reviewed in this paper. The consequences of obesity and the other metabolic aberrations are also discussed. The metabolic perturbations in PCOS patients lead to chronic low-grade inflammation and to cardiovascular impairments that heighten the risk of having cardiovascular disease. Even though many studies have shown an elevation in surrogate biomarkers of cardiovascular disease in PCOS women, it is still not clear to what extent and magnitude the elevation precipitates more frequent and earlier events.

The Role of Metformin in Metabolic Disturbances during Pregnancy: Polycystic Ovary Syndrome and Gestational Diabetes Mellitus

Maintenance of gestation implicates complex function of multiple endocrine mechanisms, and disruptions of the global metabolic environment prompt profound consequences on fetomaternal well-being during pregnancy and postpartum. Polycystic Ovary Syndrome (PCOS) and gestational diabetes mellitus (GDM) are very frequent conditions which increase risk for pregnancy complications, including early pregnancy loss, pregnancy-induced hypertensive disorders, and preterm labor, among many others. Insulin resistance (IR) plays a pivotal role in the pathogenesis of both PCOS and GDM, representing an important therapeutic target, with metformin being the most widely prescribed insulin-sensitizing antidiabetic drug. Although traditional views neglect use of oral antidiabetic agents during pregnancy, increasing evidence of safety during gestation has led to metformin now being recognized as a valuable tool in prevention of IR-related pregnancy complications and management of GDM. Metformin has been demonstrated to reduce rates of early pregnancy loss and onset of GDM in women with PCOS, and it appears to offer better metabolic control than insulin and other oral antidiabetic drugs during pregnancy. This review aims to summarize key aspects of current evidence concerning molecular and epidemiological knowledge on metformin use during pregnancy in the setting of PCOS and GDM.

Animal models of the polycystic ovary syndrome phenotype

The etiology of the polycystic ovary syndrome (PCOS) remains unclear, despite its high prevalence among infertility disorders in women of reproductive age. Although there is evidence for a genetic component of the disorder, other causes, such as prenatal insults are considered among the potential factors that may contribute to the development of the syndrome. Over the past few decades, several animal models have been developed in an attempt to understand the potential contribution of exposure to excess steroids on the development of this syndrome. The current review summarizes the phenotypes of current animal models exposed to excess steroid during the prenatal and early postnatal period and how they compare with the phenotype seen in women with PCOS.

Whole body fat: content and distribution

Obesity and its co-morbidities, including type II diabetes, insulin resistance and cardiovascular diseases, have become one of the biggest health issues of present times. The impact of obesity goes well beyond the individual and is so far-reaching that, if it continues unabated, it will cause havoc with the economies of most countries. In order to be able to fully understand the relationship between increased adiposity (obesity) and its co-morbidity, it has been necessary to develop proper methodology to accurately and reproducibly determine both body fat content and distribution, including ectopic fat depots. Magnetic Resonance Imaging (MRI) and Spectroscopy (MRS) have recently emerged as the gold-standard for accomplishing this task. Here, we will review the use of different MRI techniques currently being used to determine body fat content and distribution. We also discuss the pros and cons of MRS to determine ectopic fat depots in liver, muscle, pancreas and heart and compare these to emerging MRI techniques currently being put forward to create ectopic fat maps. Finally, we will discuss how MRI/MRS techniques are helping in changing the perception of what is healthy and what is normal and desirable body-fat content and distribution.

Adipocyte biology in polycystic ovary syndrome

Polycystic Ovary Syndrome (PCOS) is a common endocrinopathy that is associated with an adverse metabolic profile including insulin resistance. There is a clear association between obesity, the development of PCOS and the severity of its phenotypic, biochemical and metabolic features. Evidence to support this link includes data from epidemiological, pathophysiological and genetic studies. Given the importance of obesity in the development and manifestation of PCOS, ongoing research into the many facets of adipocyte biology in women with the condition is important and should continue to be a priority. In this review article, we discuss the existing literature on fat distribution, adipokines, adipocyte hypertrophy and adipocyte steroid metabolism in women with PCOS.

Sheep models of polycystic ovary syndrome phenotype

Polycystic ovary syndrome (PCOS) is a fertility disorder affecting 5-7% of reproductive-aged women. Women with PCOS manifest both reproductive and metabolic defects. Several animal models have evolved, which implicate excess steroid exposure during fetal life in the development of the PCOS phenotype. This review addresses the fetal and adult reproductive and metabolic consequences of prenatal steroid excess in sheep and the translational relevance of these findings to PCOS. By comparing findings in various breeds of sheep, the review targets the role of genetic susceptibility to fetal insults. Disruptions induced by prenatal testosterone excess are evident at both the reproductive and metabolic level with each influencing the other thus creating a self-perpetuating vicious cycle. The review highlights the need for identifying a common mediator of the dysfunctions at the reproductive and metabolic levels and developing prevention and treatment interventions targeting all sites of disruption in unison for achieving optimal success.

Body Fat Distribution in Women with Polycystic Ovary Syndrome

Background and Aims. Most women with Polycystic Ovary Syndrome (PCOS) are thought to have an abdominal body fat distribution, regardless of body mass index (BMI). The objective of our research was to compare body fat distribution between PCOS cases and BMI/age matched healthy control women. Materials and Methods. We compared 102 women with PCOS and 120 healthy female patients matched for age and BMI (retrospective review of the medical records). Visceral fat area (VFA) was measured by bioelectric impedance. Results. No significant differences were noted between the PCOS group and controls regarding total cholesterol, LDLcholesterol and triglycerides levels. Mean HDL-cholesterol concentration was significantly lower in the PCOS group (p=0.03). Mean fasting serum insulin and calculated HOMA-IR were higher in the PCOS group (14.2±7.2 vs. 9.1±4.1μU/mL, p<0.001, and 3.1±1.8 vs. 2.3±1.1, p=0.01 respectively). VFA was similar in patients with PCOS and in the control group. Conclusions. Obese women with PCOS have no preponderant accumulation of visceral fat, compared with weight/age-matched controls. Our data suggest that the distribution of fat to visceral depots is unlikely to be the entire explanation for the metabolic abnormalities observed in women with PCOS.

Developmental programming: impact of prenatal testosterone excess on insulin sensitivity, adiposity, and free fatty acid profile in postpubertal female sheep

Prenatal T excess causes reproductive and metabolic disruptions including insulin resistance, attributes of women with polycystic ovary syndrome. This study tested whether increases in visceral adiposity, adipocyte size, and total free fatty acids underlie the insulin resistance seen in prenatal T-treated female sheep. At approximately 16 months of age, insulin resistance and adipose tissue partitioning were determined via hyperinsulinemic euglycemic clamp and computed tomography, respectively, in control and prenatal T-treated females. Three months later, adipocyte size and free fatty acid composition were determined. Results revealed that at the postpubertal time points tested, insulin sensitivity was increased, visceral adiposity and adipocyte size in both the sc and the visceral compartments were reduced, and circulating palmitic acid was increased in prenatal T-treated females relative to controls. In parallel studies, 20-month-old prenatal T-treated females tended to have increased basal insulin to glucose ratio. Relative to earlier findings of reduced insulin sensitivity of prenatal T-treated females during early life and adulthood, these findings of increased insulin sensitivity and reduced adiposity postpubertally are suggestive of a period of developmental adaptation. The disruption observed in free fatty acid metabolism a few months later correspond to a time point when the insulin sensitivity indices of prenatal T-treated animals appear to shift toward insulin resistance. In summary, current findings of improved insulin sensitivity and reduced visceral adiposity in postpubertal prenatal T-treated sheep relative to our earlier findings of reduced insulin sensitivity during early postnatal life and adulthood are indicative of a period of developmental adaptation.

Effects of endogenous androgens and abdominal fat distribution on the interrelationship between insulin and non-insulin-mediated glucose uptake in females

BACKGROUND

Polycystic ovary syndrome (PCOS) is associated with hyperandrogenism and insulin resistance. Glucose disposal occurs via noninsulin-mediated glucose uptake (NIMGU) and insulin-mediated glucose uptake (IMGU). It is unknown whether in PCOS NIMGU increases to compensate for declining IMGU and whether androgens and fat distribution influence this relationship.

OBJECTIVES

The objective of the study was to compare in women with PCOS and controls the interrelationship between NIMGU [ie, glucose effectiveness (Sg)] and IMGU [ie, the insulin sensitivity index (Si)] and the role of androgens and fat distribution.

PARTICIPANTS

Twenty-eight PCOS (by National Institutes of Health 1990 criteria) and 28 control (age, race, and body mass index matched) women were prospectively studied. A subset of 16 PCOS subjects and 16 matched controls also underwent abdominal computed tomography.

MAIN OUTCOME MEASURES

Glucose disposal (by a frequently sampled iv glucose tolerance test), circulating androgens, and abdominal fat distribution [by waist to hip ratio and visceral (VAT) and sc (SAT) adipose tissue content] were measured.

RESULTS

PCOS women had lower mean Si and similar Sg and abdominal fat distribution compared with controls. PCOS women with Si below the PCOS median (more insulin resistant) had a lower mean Sg than controls with Si above the control median (more insulin sensitive). In PCOS only, body mass index, free T, modified Ferriman-Gallwey score, and waist to hip ratio independently predicted Sg, whereas Si did not. In PCOS, VAT and SAT independently and negatively predicted Si and Sg, respectively.

CONCLUSION

The decreased IMGU in PCOS is not accompanied by a compensatory increase in NIMGU or associated with excessive VAT accumulation. Increased general obesity, SAT, and hyperandrogenism are primary predictors of the deterioration of NIMGU in PCOS.

Global adiposity and thickness of intraperitoneal and mesenteric adipose tissue depots are increased in women with polycystic ovary syndrome (PCOS)

CONTEXT

Sexual dimorphism suggests a role for androgens in body fat distribution. Women with polycystic ovary syndrome (PCOS), a mainly androgen excess disorder, often present with abdominal obesity and visceral adiposity.

OBJECTIVE

We hypothesized that women with PCOS have a masculinized body fat distribution favoring the deposition of fat in visceral and organ-specific adipose tissue depots.

DESIGN

This was a case-control study.

SETTING

The study was conducted at an academic hospital.

PARTICIPANTS

Women with PCOS (n = 55), women without androgen excess (n = 25), and men (n = 26) presenting with similar body mass index participated in the study.

INTERVENTIONS

There were no interventions.

MAIN OUTCOME MEASURES

Ultrasound measurements of adipose tissue depots including sc (minimum and maximum), preperitoneal, ip, mesenteric, epicardial, and perirenal fat thickness were obtained and total body fat mass was estimated using a body fat monitor.

RESULTS

Men and patients with PCOS had increased amounts of total body fat compared with control women. Men had increased thickness of intraabdominal adipose tissue depots compared with the control women, with the women with PCOS showing intermediate values that were also higher than those of control women in the case of ip and mesenteric fat thickness and was close to reaching statistical significance in the case of epicardial fat thickness. Women with PCOS also showed increased minimum sc fat thickness compared with the control women. Obesity increased the thickness of all of the adipose tissue depots in the 3 groups of subjects.

CONCLUSIONS

Women with PCOS have higher global adiposity and increased amounts of visceral adipose tissue compared with control women, especially in the ip and mesenteric depots.

A nontargeted proteomic study of the influence of androgen excess on human visceral and subcutaneous adipose tissue proteomes

CONTEXT

Sex hormones, particularly androgens, may influence not only adipose tissue distribution but also its functions.

OBJECTIVE

We aimed to evaluate if sexual dimorphism in body composition is accompanied by differences in the protein abundance of adipose tissue by applying a nontargeted proteomic approach.

DESIGN

This was a case-control study.

SETTINGS

The setting was an academic hospital.

PATIENTS

Twenty-one morbidly obese patients, including 7 men, 7 women showing no evidence of androgen excess, and 7 hyperandrogenic women with polycystic ovary syndrome.

INTERVENTIONS

We obtained subcutaneous (SAT) and visceral (VAT) adipose tissue samples during bariatric surgery.

MAIN OUTCOME MEASURES

Protein abundance in VAT and SAT was analyzed by 2-dimensional differential gel electrophoresis and matrix-assisted laser desorption/ionization-time-of-flight/time-of-flight coupled to mass spectrometry. Results were validated by RT-PCR.

RESULTS

The abundance of 2 spots of peroxiredoxin 6, creatine kinase B-type, 2 spots of selenium-binding protein 1, ruvB-like 2, 4-trimethylaminobutyraldehyde dehydrogenase, and albumin were higher in VAT compared with SAT in women with polycystic ovary syndrome. Men showed a similar pattern, whereas no difference between adipose tissue depots was observed in control women. Other proteins showed differences between VAT and SAT, confirming previous studies, or between the groups of subjects, without interaction between both effects. Several findings were confirmed by RT-PCR.

CONCLUSIONS

Sexual dimorphism influences the abundance of several proteins in VAT and SAT. The patterns of abundance in adipose tissue depots of several proteins involved in metabolic processes were similar in women with androgen excess and in men, suggesting that androgens influence adipose tissue function.

Adipocyte dysfunction in a mouse model of polycystic ovary syndrome (PCOS): evidence of adipocyte hypertrophy and tissue-specific inflammation

Clinical research shows an association between polycystic ovary syndrome (PCOS) and chronic inflammation, a pathological state thought to contribute to insulin resistance. The underlying pathways, however, have not been defined. The purpose of this study was to characterize the inflammatory state of a novel mouse model of PCOS. Female mice lacking leptin and insulin receptors in pro-opiomelanocortin neurons (IR/LepR(POMC) mice) and littermate controls were evaluated for estrous cyclicity, ovarian and adipose tissue morphology, and body composition by QMR and CT scan. Tissue-specific macrophage infiltration and cytokine mRNA expression were measured, as well as circulating cytokine levels. Finally, glucose regulation during pregnancy was evaluated as a measure of risk for diabetes development. Forty-five percent of IR/LepR(POMC) mice showed reduced or absent ovulation. IR/LepR(POMC) mice also had increased fat mass and adipocyte hypertrophy. These traits accompanied elevations in macrophage accumulation and inflammatory cytokine production in perigonadal adipose tissue, liver, and ovary. These mice also exhibited gestational hyperglycemia as predicted. This report is the first to show the presence of inflammation in IR/LepR(POMC) mice, which develop a PCOS-like phenotype. Thus, IR/LepR(POMC) mice may serve as a new mouse model to clarify the involvement of adipose and liver tissue in the pathogenesis and etiology of PCOS, allowing more targeted research on the development of PCOS and potential therapeutic interventions.