Visceral adiposity index (VAI) is related to the severity of anovulation and other clinical features in women with polycystic ovary syndrome

A Literature Review and a Proposed Classification of the Relationships between Ovulatory Infertility and Lifestyle Factors Based on the Three Groups of Ovulation Disorders Classified by WHO

Ovulatory infertility is a serious clinical problem whose direct causes are still largely unknown. In addition to pathologies that make it impossible for a couple to establish a pregnancy, there are a number of other factors that have a bearing on fertility, including lifestyle factors, and particularly diet. Although numerous studies have been performed linking such factors to ovulatory infertility, most of them lack the necessary clinical significance, instead focusing on observational data and suggesting or establishing associative relationships. This article consists of a literature review focusing on connections between lifestyle factors such as diet, physical exercise, oxidative stress, sleep, and supplementation, and ovulatory infertility. Special emphasis was given to issues such as obesity and insulin resistance and their mutual relationship with other factors linked to ovulatory infertility. In addition, based on the conclusions of the literature review, the authors have proposed a classification of relationships between ovulation disorders and lifestyle factors in ovulatory infertility within the framework of the WHO classification of ovulation disorders. Furthermore, areas that merit further research have been indicated as well as those that do not. WHO Group II disorders gained prominence in the results of the study as the number of links with lifestyle factors and ovulatory infertility found in the course of the review greatly exceeded those for Groups I and III. The data presented in the article show that the issues of proper diet and physical exercise are those that could benefit from robust clinical studies focused specifically on ovulation infertility, while studies concerning the relationship between oxidative stress, sleep, and supplementation and ovulatory infertility do not seem to be promising directions as far as clinical significance is concerned.

The Visceral Adiposity Index (VAI) and Lipid Accumulation Product (LAP) Are Predictors of Insulin Resistance and Hyperandrogenaemia in Obesity/Overweight Women with Polycystic Ovary Syndrome

Objective

Hyperandrogenaemia and insulin resistance (IR) are the main characteristics of polycystic ovary syndrome (PCOS). Here, we study to find appropriate markers predicting IR and hyperandrogenaemia of women with PCOS in northwest China.

Methods

According to body mass index (BMI), 953 patients with PCOS were divided into two groups. All the patients underwent physical examination and ultrasonography and collected elbow vein blood. Their BMI, waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), LAP, VAI, homeostasis model assessment index of insulin resistance (HOMA-IR), and free androgen index (FAI) were calculated. Each group (normal weight and obesity/overweight) was further divided into two subgroups according to their HOMA-IR and FAI: the IR+ subgroup/IR- subgroup and FAI+ subgroup/FAI- subgroup. Furthermore, we compared the clinical indices, hormone levels, and metabolic makers separately between these groups. The correlations between these parameters and HOMA-IR or FAI were tested; sensitivity, specificity, and receiver-operating characteristic (ROC) curves were calculated.

Results

In the obesity/overweight group, the VAI (best cut-off value: 2.27, area under the curve (AUC) = 0.699) and LAP (best cut-off value: 45.54, AUC = 0.680) were sensitive predictors of IR (sensitivity = 72% and sensitivity = 67%). Additionally, the VAI (best cut-off value: 2.13, AUC = 0.624) and LAP (best cut-off value: 51.18, AUC = 0.582) were sensitive predictors of FAI (sensitivity = 87% and sensitivity = 64%). In the normal weight group, BMI could preferably predict HOMA-IR (AUC = 0.717, best cut-off value: 21.62) and HOMA-IR could preferably predict FAI (best cut-off value: 2.11, AUC = 0.648).

Conclusion

Our data indicated that the VAI and LAP may contribute to the early identification of IR and hyperandrogenaemia in the obesity/overweight patients of PCOS. In normal weight PCOS, BMI was a better predictor to IR, and HOWA-IR was a better predictor to FAI.

Correlation of markers of inflammation with hormonal, metabolic parameters, insulin resistance and adiposity indices in first-degree relatives of patient with polycystic ovary syndrome

Background:

Polycystic ovary syndrome (PCOS) is a state of chronic low-grade inflammation. Low-grade inflammation has been linked to the development of cardiovascular disease (CVD). There is evidence of clustering for metabolic syndrome, hypertension, dyslipidaemia in type 2 diabetes mellitus and insulin resistance (IR) in mothers, fathers, sisters and brothers of women with PCOS.

Aims:

The aim is to study the levels of inflammatory markers and IR in first-degree relatives of patients with PCOS and find any correlation with hormonal parameters, metabolic parameters and adiposity indices in them.

Settings and Design:

A total of 66 first-degree relatives of a patient with PCOS were included in this cross-sectional study.

Materials and Methods:

All participants underwent detailed clinical evaluation and biochemical investigations, including high-sensitivity C-reactive protein (hsCRP), interleukin 6 (IL-6), luteinising hormone (LH), follicle-stimulating hormone (FSH) and total testosterone (only in females). Homeostasis model assessment of IR (HOMA-IR), lipid accumulation product and visceral adiposity index were calculated using standard equations. Visceral adipose tissue thickness and subcutaneous adipose tissue thickness were assessed using ultrasonography.

Statistical Analysis Used:

Spearman's and Pearson's correlation coefficients were used to analyse the correlation between different non-parametric and parametric data, respectively. Multiple linear regression was used to correlate multiple dependent factors.

Results:

The mean hs-CRP level was 2.4 ± 1.1 mg/L, which is greater than the cut-off of 2 mg/L and hs-CRP >2 mg/L was found in 62% (n = 41) participants. The mean IL-6 (3.5 ± 1.1 pg/ml) and total white blood cell count (7244 ± 2190/mm³) were in the normal range. The mean HOMA-IR was 2.35 ± 0.76, which is elevated, considering HOMA IR >2 as a predictor of IR and metabolic syndrome. HOMA IR >2 was found in 64% (n = 42) of the participants. Inflammatory markers were significantly correlated with LH and HOMA IR, even after multiple linear regression was fitted for each marker individually.

Conclusion:

Apparently, healthy first-degree relatives of PCOS patients had evidence of chronic low-grade inflammation. The chronic inflammation in them correlated well with HOMA-IR and LH but was independent of body mass index. This low-grade inflammation may predispose the first-degree relatives of PCOS to CVD.

Metabolically Healthy Obesity (MHO) vs. Metabolically Unhealthy Obesity (MUO) Phenotypes in PCOS: Association with Endocrine-Metabolic Profile, Adherence to the Mediterranean Diet, and Body Composition

Obesity and obesity-related low-grade inflammation are common findings in polycystic ovary syndrome (PCOS), the most common endocrine-metabolic disorder-affecting women in reproductive age. The terms metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO) have been introduced to define individuals with obesity in whom cardio-metabolic risk factors are absent or present, respectively. To date, evidence investigating differences in body composition and adherence to the Mediterranean diet (MD) between MHO and MUO-PCOS women are lacking. Aim of this study was to better characterize the determinants of the metabolic health status in PCOS patients with obesity according to MHO and MUO phenotypes by evaluating endocrine-metabolic profile, inflammatory status, adherence to the MD, and body composition. The study population consisted of 94 treatment-naïve women with PCOS and obesity (BMI = 38.23 ± 6.62 kg/m² and age = 24.12 ± 3.68 years). Compared PCOS MHO with PCOS MUO patients, the latter had higher levels of high-sensitivity C-reactive protein (hs-CRP) (p < 0.001), testosterone (p < 0.001), and insulin (p < 0.001), worse metabolic parameters, and higher Homeostatic Model Assessment of Insulin Resistance (HoMA-IR), Visceral Adiposity Index (VAI), and Fatty liver Index (FLI) (p < 0.001). Furthermore, PCOS MUO patients had lower adherence to the MD (p < 0.001) in spite of the same total energy intake (p = 0.102) as compared to PCOS MHO. The presence of MUO was associated with highest hs-CRP levels (OR = 1.49, p < 0.001), more severe hyperandrogenism and cardio-metabolic indices (p < 0.001). On the contrary, being PCOS MUO was associated with lower adherence to the MD (OR = 0.28, p < 0.001), and smaller PhAs (OR = 0.04, p < 0.001). Using a regression linear analysis model PREDIMED score entered at the first step (p < 0.001), followed by VAI (p < 0.001), and FLI (p = 0.032) in this analysis. At ROC analysis, a PREDIMED score of ≤4 (p < 0.001, AUC 0.926) could serve as a threshold for a significantly increased risk of presence the MUO-PCOS phenotype. To the best of our knowledge, this is the first study that characterized MHO and MUO-PCOS women on the basis of their adherence to the MD, body composition, and cardio-metabolic indices, providing evidence of the usefulness of adjunctive diagnostic parameters to better differentiate the MHO/MHO phenotypes in this cohort of PCOS patients with obesity.

Can "VAI" Better Indicate Metabolic Syndrome Compared with Other Metabolic Syndrome-Related Parameters in Patients with Thyroid Nodules? A Study from Turkey

Background: To investigate the relationship between visceral adiposity index (VAI) and other metabolic syndrome (MetS)-related parameters, and thyroid nodules. Methods: This single-center, prospective, case-control study included 67 patients with thyroid nodules and 48 healthy volunteers with similar age, sex, and body mass index (BMI). Biochemical parameters were obtained from medical charts. Anthropometric measurements and total body composition analysis were performed to calculate VAI and other MetS parameters. The parenchymal structure was evaluated according to VESINC (Volume, Echogenicity, Sonographic texture, Infiltration of pseudonodular Nodules, Cysts) system on thyroid ultrasound and nodule characteristics were also detected. MetS was defined according to International Diabetes Federation criteria. Results: We examined a total of 67 patients with thyroid nodule and 48 healthy volunteers. Sixty-one (91%) were female in the patient group; and 43 (90%) were female in the control group. The mean age was 48.5 ± 11.6 years in the patient group; 47.2 ± 9.5 years in the control. The median VAI was significantly higher in the patient group than the control group [4.1 interquartile range (IQR: 2.6-5.9) vs. 3 (IQR: 2-4.3), P = 0.024]. There was a positive correlation between VAI and BMI, waist/hip ratio (WHpR), waist/height ratio (WHtR), and homeostasis of model assessment of insulin resistance (HOMA-IR). On the other hand, there was no significant correlation between VAI and thyroid function tests and autoantibodies and thyroid volume. Conclusions: In conclusion, we demonstrated that MetS was more common in patients with thyroid nodules. Although VAI and HOMA-IR levels were significantly different between the two groups, we found no significant difference in terms of waist circumference, WHpR, and WHtR. This might suggest that VAI compared with these parameters, better predicts the risk of MetS in patients with thyroid nodules.

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.

Correlation Between Serum Uric Acid and Body Fat Distribution in Patients With Polycystic Ovary Syndrome

OBJECTIVE

This study aims to investigate the correlation between serum uric acid levels and body fat distribution in patients with polycystic ovary syndrome (PCOS).

METHODS

Between May 2017 and March 2021, a total of 199 patients with PCOS were recruited from the Department of Endocrinology and Metabolism at the Shanghai Tenth People's Hospital. Anthropometric characteristics, metabolic parameters, and reproductive hormones were measured. Hyperuricemia was defined as serum uric acid (SUA) greater than 420 μmol/l. Dual-energy X-ray absorptiometry (DEXA) was used to measure body fat distribution.

RESULTS

The prevalence of hyperuricemia in patients with PCOS was 28.64%. PCOS patients with hyperuricemia are more obese and have a higher waist-to-hip ratio (WHR) and worse lipid metabolism than those without hyperuricemia. According to SUA quartiles, patients in the highest quartile had higher total testosterone (TT), body fat accumulation, and lower sex hormone-binding globulin (SHBG) than patients in the lowest quartile. SUA was correlated with percentage of total body fat, arm fat mass, leg fat mass, trunk fat mass, android/gynoid (A/G) ratio, and visceral adipose tissue (VAT) mass. After controlling possible confounders, logistic regression analysis found that only excessive VAT mass could significantly increase the risk of hyperuricemia in patients with PCOS.

CONCLUSION

In patients with PCOS, a high level of VAT mass, but not other fat compartments, will exacerbate the risk of hyperuricemia. Attention should be paid to the role of excessive VAT in the occurrence and development of PCOS with hyperuricemia.

Ramadan fasting improves liver function and total cholesterol in patients with nonalcoholic fatty liver disease

Abstract. Background: Nonalcoholic fatty liver disease (NAFLD) is a serious global health problem, thus the prevention and management of the disease is necessary. This study aimed to determine the effects of Ramadan Fasting (RF) on liver function, Visceral Adiposity Index (VAI) and Atherogenic Index of Plasma (AIP) in these patients.

Methods: Eighty-three NAFLD patients (57 males and 26 females) were enrolled in the study, 42 patients who practiced RF, between Jun 18 through July 17, 2015 and 41 patients in non-fasting groups. Anthropometric parameters and Ultrasound grading were measured before and after Ramadan. The biochemical parameters including lipid profiles (total cholesterol, LDL cholesterol, HDL cholesterol, and triglycerides), liver enzymes (Aspartate aminotransferase, SGOT and Alanine aminotransferase, SGPT) were evaluated before and after Ramadan. AIP and VAI were calculated based on formula.

Results: The mean decreases in anthropometric indices were significantly different between groups. Similarly, the mean decrease in the total cholesterol values in the fasting group was remarkably greater than in the control group (p = 0.02). The values of AIP and VAI decreased at the end of the study in both group and the mean of changes showed no differences between groups (p = 0.79 and p = 0.65 for AIP and VAI, respectively). The changes in the concentrations of liver enzymes, as well as the severity of hepatic steatosis, showed remarkable differences between groups (p = 0.03, p = 0.05, and p = 0.02 for SGOT and SGPT, and Liver steatosis, respectively).

Conclusion: RF improved liver steatosis in NAFLD patients and might be useful in the management of NAFLD.

Increased serum fetuin-B concentration is associated with HOMA-β and indices of liver steatosis in women with polycystic ovary syndrome: a pilot study

OBJECTIVE

PCOS women are characterized by insulin resistance and have higher tendency to the development of hepatic steatosis. Fetuin-B has been introduced as a hepatokine/adipokine, which is increased in hepatic steatosis and may be connected with glucose metabolism disturbances. The aim of the study was to evaluate the relationships between serum fetuin-B concentration and indices of insulin resistance, insulin secretion and markers of liver steatosis in PCOS women in comparison to the control group.

PATIENTS AND METHODS

The study group included 108 women - 57 women with PCOS and 51 women matched for age and BMI as a control group. Serum concentration of fetuin-B was estimated. Homeostasis model assessment of insulin resistance (HOMA-IR) and homeostasis model assessment β cell function (HOMA-β) were calculated. Fatty liver index (FLI), lipid accumulation product (LAP) and visceral adiposity index (VAI) were used as markers of liver steatosis.

RESULTS

We found higher serum concentration of fetuin-B and FLI in PCOS women in comparison to the control group (all P < 0.05). We observed a positive relationship between serum fetuin-B concentration and HOMA-β (r = 0.43, P = 0.01), HOMA-IR (r = 0.31, P = 0.01), FLI (r = 0.29, P = 0.02), VAI (r = 0.29, P = 0.02) and LAP (r = 0.32, P = 0.01) in PCOS women. We also noticed a relationship between HOMA-IR and FLI (r = 0.42, P = 0.01), VAI (r = 0.38, P = 0.004) and LAP (r = 0.41, P = 0.001) in this group. Multiple regression analysis revealed that HOMA-β (β = 0.39, P = 0.002) and LAP (β = 0.27, P = 0.02) were independently connected with serum fetuin-B levels in women with PCOS.

CONCLUSIONS

Serum fetuin-B levels are higher in women with PCOS and are independently connected with HOMA-β and hepatic steatosis.

Association of measures of central fat accumulation indices with body fat distribution and metabolic, hormonal, and inflammatory parameters in women with polycystic ovary syndrome

OBJECTIVE

To investigate the associations among visceral adiposity index (VAI), lipid accumulation product (LAP), body fat percentage (%), and android/gynoid ratio (A/G ratio) in women with polycystic ovary syndrome (PCOS) and verify if the parameters representative of visceral obesity correlate with and exhibit the same frequency as body composition variables; anthropometric indices; and metabolic, hormonal, and inflammatory parameters.

SUBJECTS AND METHODS

This was a cross-sectional study that included 94 women with PCOS. Hormonal, metabolic, and inflammatory parameters were analyzed in all women. Free androgen index (FAI) and homeostasis model assessment (HOMA-IR), as well as LAP, VAI, and anthropometric indices, were calculated. The regions of interest (ROIs) in body composition and body composition indices were evaluated using a dual X-ray absorptiometry (DXA). Overall, 32 variables were selected as markers of body fat distribution.

RESULTS

Among the 32 markers evaluated, 29 correlated with LAP, whereas 25 correlated with VAI, 19 with body fat (%), and 30 with A/G ratio. Additionally, some markers correlated with the four adiposity indices evaluated: ROIs, except for total mass and leg fat (%); body composition (body mass index, waist circumference, and hip circumference) indices; fasting insulin; and C-reactive protein.

CONCLUSION

LAP and VAI may be sensitive measures for screening and preventing metabolic syndrome and insulin resistance in PCOS, with LAP being more sensitive than VAI, and the A/G ratio may be more sensitive than body fat percentage.

Body fat indices as effective predictors of insulin resistance in obese/non-obese polycystic ovary syndrome women in the Southwest of China

PURPOSE

Insulin resistance (IR) is a common feature of polycystic ovary syndrome (PCOS). Body fat indices can be predictive markers of IR. This study is aimed to predict IR in Chinese women with PCOS of different body types based on body fat indices.

METHODS

A total of 723 women diagnosed with PCOS according to Rotterdam criteria were recruited in this study and were further divided into two groups based on their BMI. All participants underwent physical examinations and ultrasound; and blood was collected from them on the days 3-5 of the menstrual cycle. Their BMI, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), lipid accumulation product (LAP) index, visceral adiposity index (VAI), and the homeostasis model assessment index of insulin resistance (HOMA-IR) were calculated. The correlations between body fat indices and HOMA-IR and receiver operating characteristic (ROC) curves were evaluated.

RESULTS

In normal weight group (BMI < 24, n = 333), VAI (best cut-off value: 1.681, area under curve (AUC) = 0.754, P < 0.01) and LAP index (best cut-off value: 18.53, AUC = 0.734, P < 0.001) were the reliable indicators of IR based on HOMA-IR ≥ 2.77, while in overweight/obese group (BMI ≥ 24, n = 390), the BMI, WC, WHtR and LAP index had a significant correlation with HOMA-IR. The representative markers to assess IR were BMI (best cut-off value: 26.43, AUC = 0.644, P = 0.001) and WHtR (best cut-off value: 0.544, AUC = 0.604, P = 0.021).

CONCLUSIONS

Body fat indices are predictive markers of IR in Chinese PCOS women, especially in those with normal weight.

Lifestyle changes in women with polycystic ovary syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS) affects 8% to 13% of reproductive-aged women and is associated with reproductive and metabolic dysfunction. Obesity worsens the presentation of PCOS and weight management (weight loss, maintenance or prevention of excess weight gain) is proposed as an initial treatment strategy, best achieved through lifestyle changes incorporating diet, exercise and behavioural interventions.

OBJECTIVES

To assess the effectiveness of lifestyle treatment in improving reproductive, anthropometric (weight and body composition), metabolic and quality of life factors in PCOS.

SEARCH METHODS

We searched the Cochrane Gynaecology and Fertility Specialised Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, PsycINFO, CINAHL and AMED (date of last search March 2018). We also searched controlled trials registries, conference abstracts, relevant journals, reference lists of relevant papers and reviews, and grey literature databases, with no language restrictions applied.

SELECTION CRITERIA

Randomised controlled trials (RCTs) comparing lifestyle treatment (diet, exercise, behavioural or combined treatments) to minimal or no treatment in women with PCOS.

DATA COLLECTION AND ANALYSIS

Two authors independently selected trials, assessed evidence quality and risk of bias, and extracted data. Our primary outcomes were live birth, miscarriage and pregnancy. We used inverse variance and fixed-effect models in the meta-analyses. We reported dichotomous outcomes as an odds ratio and continuous outcomes as a mean difference (MD) or standardised mean difference (SMD).

MAIN RESULTS

We included 15 studies with 498 participants. Ten studies compared physical activity to minimal dietary and behavioural intervention or no intervention. Five studies compared combined dietary, exercise and behavioural intervention to minimal intervention. One study compared behavioural intervention to minimal intervention. Risk of bias varied: eight studies had adequate sequence generation, seven had adequate clinician or outcome assessor blinding, seven had adequate allocation concealment, six had complete outcome data and six were free of selective reporting. No studies assessed the fertility primary outcomes of live birth or miscarriage. No studies reported the secondary reproductive outcome of menstrual regularity, as defined in this review.Lifestyle intervention may improve a secondary (endocrine) reproductive outcome, the free androgen index (FAI) (MD -1.11, 95% confidence interval (CI) -1.96 to -0.26, 6 RCTs, N = 204, I2 = 71%, low-quality evidence). Lifestyle intervention may reduce weight (kg) (MD -1.68 kg, 95% CI -2.66 to -0.70, 9 RCTs, N = 353, I2 = 47%, low-quality evidence). Lifestyle intervention may reduce body mass index (BMI) (kg/m2) (-0.34 kg/m2, 95% CI -0.68 to -0.01, 12 RCTs, N = 434, I2= 0%, low-quality evidence). We are uncertain of the effect of lifestyle intervention on glucose tolerance (glucose outcomes in oral glucose tolerance test) (mmol/L/minute) (SMD -0.02, 95% CI -0.38 to 0.33, 3 RCTs, N = 121, I2 = 0%, low-quality evidence).

AUTHORS' CONCLUSIONS

Lifestyle intervention may improve the free androgen index (FAI), weight and BMI in women with PCOS. We are uncertain of the effect of lifestyle intervention on glucose tolerance. There were no studies that looked at the effect of lifestyle intervention on live birth, miscarriage or menstrual regularity. Most studies in this review were of low quality mainly due to high or unclear risk of bias across most domains and high heterogeneity for the FAI outcome.

Visceral Adiposity Index: Simple Tool for Assessing Cardiometabolic Risk in Women with Polycystic Ovary Syndrome

AIM

To study visceral adiposity index (VAI) and its association with cardiometabolic risk in different phenotypes of polycystic ovary syndrome (PCOS).

MATERIALS AND METHODS

It is a case-control cross-sectional study where 100 reproductive age (18-35 years) women with PCOS were classified in different phenotypes as per Rotterdam criteria and compared with age and Body mass index (BMI) matched 50 eumenorrheic and nonhirsute women. Various anthropometric, clinical, biochemical, and hormonal parameters were measured in both women with PCOS and controls. VAI was calculated using waist circumference (WC), BMI, serum triglyceride, and High density lipoprotein (HDL) cholesterol levels in all the subjects and compared between cases and controls. Subsequently, women with PCOS were assessed for cardiometabolic risk according to androgen excess society statement 2010 as "at risk" and "at high risk." Finally, risk was correlated with VAI for all the phenotypes of PCOS.

RESULTS

Mean VAI was significantly higher (P < 0.001) in cases than controls (2.07 vs. 1.27). Mean VAI in phenotype A (O+P+HA), B (O+HA), C (P+HA), and D (O+P) was 2.46, 2.48, 1.47, and 1.70, respectively. A total of 56% of women with PCOS were at risk and 12% at high risk for cardiometabolic disease. Metabolic syndrome was prevalent in 11% of cases and 1% had type 2 diabetes mellitus. Phenotypically, 88% of women with PCOS with phenotype A (O+P+HA), 67% of B (O+HA), 67% of C (P+HA), and 55% of D (O+P) were at increased risk. VAI was found to be positively correlated with WC (r, 0.550), waist to hip ratio (r, 0.295), Homeostasis model assessment of insulin resistance (HOMA IR) (r, 0.455), and cardiometabolic risk (r, 0.399). Also, it was the best factor associated with cardiometabolic risk (area under curve, 0.793).

CONCLUSION

This study concluded that visceral adiposity index can be used as simple and effective tool for assessing the cardiometabolic risk in women with PCOS as higher VAI values were observed in those cases who were at high risk for developing cardiometabolic disorder in future.

The impact of lipid accumulation product (LAP) and visceral adiposity index (VAI) on clinical, hormonal and metabolic parameters in lean women with polycystic ovary syndrome

This study was performed to assess the impact of lipid accumulation product (LAP) and visceral adiposity index (VAI) on clinical, hormonal, and metabolic parameters in lean women with PCOS. Retrospective analysis of 120 consecutive lean PCOS subjects was performed. Subjects were divided into two groups according to HOMA-IR, as IR + and IR-. A HOMA-IR value above 2.5 was used to indicate IR. Clinical, hormonal and metabolic parameters were compared between the two groups. Correlations between LAP and VAI and clinical, hormonal, metabolic features in women PCOS were analyzed. One hundred twenty lean PCOS subjects were enrolled, of which 39 were insulin resistant. Comparison of group means showed significantly higher values for TG levels, FAI, FGS, TG/HDL-c, TyG, LAP, and VAI indexes and lower values for glucose/insulin ratio and QUICKI in the IR + group. LAP and VAI were both found to be positively correlated with each other and with WC, FAI, FGS, TG, TC levels, lipid ratios, TyG index, and HOMA-IR and negatively correlated with Glucose/Insulin ratio, QUICKI, and HDL-c in lean women with PCOS. LAP and VAI may be promising in early identification of IR and cardiometabolic risk and may be useful for the assessment of hyperandrogenism in lean women with PCOS.

Pasireotide treatment reduces cardiometabolic risk in Cushing's disease patients: an Italian, multicenter study

PURPOSE

Patients with Cushing's disease (CD) experience metabolic alterations leading to increased cardiovascular mortality. Recently, the visceral adiposity index (VAI) has been proposed as a marker of visceral adipose tissue dysfunction (ATD) and of the related cardiometabolic risk. We aimed to evaluate the impact of 12-month pasireotide treatment on cardiometabolic risk in CD patients.

METHODS

This is a multicentre, prospective, and observational study. Sixteen CD patients, referred to the Endocrine Units of the University Hospitals of Messina, Napoli, Padova, and Palermo (Italy), successfully treated with pasireotide for 12 month have been enrolled. In all patients, we assessed anthropometric, clinical, and biochemical parameters and calculated VAI, ATD severity, Framingham, and atherosclerotic cardiovascular disease (ASCVD) risk scores, before and after 6 and 12 months of treatment with pasireotide (1200-1800 mcg/daily).

RESULTS

Before starting pasireotide treatment, ATD was present in 7/16 patients (mild in 2/16, moderate in 3/16, and severe 2/16). After 12 months of treatment: (i) 24h-urinary free cortisol levels (p = 0.003), BMI (p < 0.001), waist circumference (p = 0.001), LDL-cholesterol (p = 0.033), total-cholesterol (p = 0.032), triglycerides (p = 0.030), VAI (p = 0.015), and ATD severity (p = 0.026) were significantly decreased as compared to baseline; (ii) ATD was present in only 1/16 patients; (iii) prevalence of diabetes mellitus (p = 0.015) and HbA1c levels (p = 0.001) were significantly increased as compared to baseline; (iv) Framingham and ASCVD risk scores were not significantly different from pre-treatment values.

CONCLUSIONS

Twelve-month pasireotide treatment significantly reduces VAI and ATD in CD patients. These positive effects on cardiometabolic risk occur despite no change in Framingham and ASCVD risk scores and the increase in the prevalence of diabetes mellitus.

Reducing the Risk of Type 2 Diabetes in Nonselected Outpatients With Schizophrenia: A 30-Month Program

BACKGROUND

Type 2 diabetes is 2- to 3-fold more common in patients with schizophrenia than in the general population. A lifestyle with a focus on diet, exercise, and medication is required to prevent complications from type 2 diabetes, but patients with schizophrenia frequently have trouble maintaining such a lifestyle because of factors related to their illness, such as cognitive disturbances, negative and positive symptoms, and side effects of psychotropic medications.

OBJECTIVE

To measure and reduce risk factors for type 2 diabetes in patients with schizophrenia and examine characteristics associated with positive outcomes.

METHODS

This study, which was conducted in clinics treating both newly diagnosed and long-term (LT) patients with schizophrenia, evaluated the effects of a 30-month naturalistic intervention on improvement in the physical health of patients treated for schizophrenia and reduction in their risk factors for type 2 diabetes. The clinical intervention incorporated individual guidance, group sessions, and treatment as usual.

RESULTS

Patients newly diagnosed with schizophrenia were found to have high consumption of soft drinks and low physical activity at their index evaluation. At follow-up, the physical profile of these patients had worsened, with increased weight, waist circumferences, visceral adiposity index (P=0.030), and glycosylated hemoglobin (HbA1c; P=0.010). Average HbA1c values increased in newly diagnosed male patients by 0.24 mmol/l (P=0.007). At follow-up, LT patients improved with regard to their consumption of soft drinks (P=0.001) and fast food (P=0.009). The LT patients also reduced their weight and waist circumferences and became more physically active. No changes in HbA1c values were found in the LT patients during the intervention period.

CONCLUSION

The study found that positive outcomes were associated with female sex and a longer duration of illness. Negative outcomes with worsening of risk factors were associated with being newly diagnosed with schizophrenia and male sex. It was possible to produce improvements in some risk factors through individual health-oriented lifestyle interventions, especially in LT patients.

Prohibitin-induced obesity leads to anovulation and polycystic ovary in mice

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder and the most common cause of female infertility. However, its etiology and underlying mechanisms remain unclear. Here we report that a transgenic obese mouse (Mito-Ob) developed by overexpressing prohibitin in adipocytes develops polycystic ovaries. Initially, the female Mito-Ob mice were equally fertile to their wild-type littermates. The Mito-Ob mice began to gain weight after puberty, became significantly obese between 3-6 months of age, and ∼25% of them had become infertile by 9 months of age. Despite obesity, female Mito-Ob mice maintained glucose homeostasis and insulin sensitivity similar to their wild-type littermates. Mito-Ob mice showed morphologically distinct polycystic ovaries and elevated estradiol, but normal testosterone and insulin levels. Histological analysis of the ovaries showed signs of impaired follicular dynamics, such as preantral follicular arrest and reduced number, or absence, of corpus luteum. The ovaries of the infertile Mito-Ob mice were closely surrounded by periovarian adipose tissue, suggesting a potential role in anovulation. Collectively, these data suggest that elevated estradiol and obesity per se might lead to anovulation and polycystic ovaries independent of hyperinsulinemia and hyperandrogenism. As obesity often coexists with other abnormalities known to be involved in the development of PCOS such as insulin resistance, compensatory hyperinsulinemia and hyperandrogenism, the precise role of these factors in PCOS remains unclear. Mito-Ob mice provide an opportunity to study the effects of obesity on anovulation and ovarian cyst formation independent of the major drivers of obesity-linked PCOS.

Summary: Obesity-related overgrowth of periovarian adipose tissue and elevated estradiol levels cause anovulation and ovarian cyst formation in mice, independent of hyperinsulinemia and hyperandrogenism.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

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

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

Polycystic ovary syndrome and environmental toxins

Polycystic ovary syndrome (PCOS) is the most common, heterogeneous, and multifactorial endocrine disorder in premenopausal women. The pathophysiology of this endocrinopathy is still unclear; however, the heterogeneity of its features within ethnic races, geographic location, and families suggests that environment and lifestyle are of prime importance. This work is mainly focused on the possible role of the most common and studied environmental toxins for this syndrome in the pathogenesis of PCOS. Plasticizers, such as bisphenol A (BPA) or phthalates, which belong to the categories of endocrine disrupting chemicals (EDCs) and advanced glycation end products (AGEs), affect humans' health in everyday, industrialized life; therefore special attention should be paid to such exposure. Timing of exposure to EDCs is crucial for the intensity of adverse health effects. It is now evident that fetuses, infants, and/or young children are the most susceptible groups, especially in the early development periods. Prenatal exposure to EDCs that mimic endogenous hormones may contribute to the altered fetal programming and in consequence lead to PCOS and other adverse health effects, potentially transgenerationally. Acute or prolonged exposure to EDCs and AGEs through different life cycle stages may result in destabilization of the hormonal homeostasis and lead to disruption of reproductive functions. They may also interfere with metabolic alterations such as obesity, insulin resistance, and compensatory hyperinsulinemia that can exacerbate the PCOS phenotype and contribute to PCOS consequences such as type 2 diabetes and cardiovascular disease. Since wide exposure to environmental toxins and their role in the pathophysiology of PCOS are supported by extensive data derived from diverse scientific models, protective strategies and strong recommendations should be considered to reduce human exposure to protect present and future generations from their adverse health effects.

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

AIM

It is unknown which phenotype of polycystic ovary syndrome (PCOS) has a greater metabolic risk and how to detect this risk. The aim of this study was therefore to compare the incidence of metabolic syndrome (MetS) and metabolic risk profile (MRP) for different phenotypes.

METHODS

A total of 100 consecutive newly diagnosed PCOS women in a tertiary referral hospital were recruited. Patients were classified into four phenotypes according to the Rotterdam criteria, on the presence of at least two of the three criteria hyperandrogenism (H), oligo/anovulation (O) and PCO appearance (P): phenotype A, H + O + P; phenotype B, H + O; phenotype C, H + P; phenotype D, O + P. Prevalence of MetS and MRP were compared among the four groups.

RESULTS

Based on Natural Cholesterol Education Program Adult Treatment Panel III diagnostic criteria, MetS prevalence was higher in phenotypes A and B (29.6% and 34.5%) compared with the other phenotypes (10.0% and 8.3%; P < 0.001). Although the prevalence of obesity was similar, the number of patients with homeostatic model assessment insulin resistance index (HOMA-IR) >3.8 was significantly higher in androgenic PCOS phenotypes. After logistic regression analysis, visceral adiposity index (VAI) was the only independent predictor of MetS in PCOS (P = 0.002). VAI was also significantly higher in phenotype B, when compared with the others (P < 0.01).

CONCLUSION

Phenotypes A and B had the highest risk of MetS among the four phenotypes, and VAI may be a predictor of metabolic risk in PCOS women.

Visceral adiposity index as a predictor of clinical severity and therapeutic outcome of PCOS

Polycystic ovary syndrome (PCOS) is a common endocrine-metabolic disease which often accompany with abnormal fat distribution. Visceral adiposity has association with abnormal lipid metabolic, pro-inflammatory activity, insulin resistance (IR) and hyperandrogenism. Increased visceral adiposity raises the risk of metabolic syndrome, type 2 diabetes and cardiovascular (CV) events, and aggravates ovulatory dysfunction and hyperandrogenism in PCOS women. Visceral adiposity index (VAI), a simple surrogate maker of visceral adipose dysfunction and visceral adiposity, is a predictor of IR, and link hyperinsulinemia, hyperandrogenism and anovulation. This review aims to discuss the visceral adiposity situation in PCOS women, and suggests that VAI may be a useful predictor of clinical severity and therapeutic outcome of PCOS.

Psoriasis and polycystic ovary syndrome: a new link in different phenotypes

OBJECTIVE

Women affected by PCOS and psoriasis are more likely to have insulin-resistance, hyperinsulinemia, reduced HDL cholesterol levels and a more severe degree of skin disease than those with psoriasis alone. The mechanism underlying this association between PCOS and psoriasis is currently unknown. The aim of the present study was to evaluate the features of psoriasis and the psoriasis severity scores in the different PCOS phenotypes and in age and body mass index (BMI)-matched psoriatic control patients.

STUDY DESIGN

A cross-sectional study was performed on 150 psoriatic patients: 94 PCOS and 56 age- and BMI-matched controls. PCOS patients were diagnosed and divided into four phenotypes according to Rotterdam criteria: A - patients with complete phenotype with hyperandrogenism (H) plus oligoamenorrhea (O) plus polycystic ovary (PCO) on ultrasound examination; B - patients with H plus O (without PCO); C - patients with H plus PCO (ovulatory phenotype); D - patients with O plus PCO (without H). The patient's Psoriasis Area and Severity Index (PASI) as well as the Physician's Global Assessment (PGA) were calculated. A PASI score ≥10 was correlated with common indicator of severe disease. A PGA ≥4 was considered as a condition of moderate to severe disease.

RESULTS

Among the four phenotypes investigated, the group with complete phenotype (H plus O plus PCO) had a higher prevalence of patients with patient's PASI ≥10 compared to controls (Odds Ratio (OR) 4.71, 95% confidence intervals (CI) 1.59-13.95). The group with O plus PCO had a higher prevalence of patients with PGA ≥4 compared to controls (OR 26.79, 95% CI 3.40-211.02) while the ovulatory group had a lower prevalence of patients with PGA ≥4 (OR 0.06, 95% CI 0.01-0.51).

CONCLUSIONS

The ovulatory phenotype displays a milder psoriasis form than other phenotypes while the phenotypes with oligoamenorrhea presented higher severity scores of disease than other phenotypes and control group.

Visceral adiposity index and DHEAS are useful markers of diabetes risk in women with polycystic ovary syndrome

OBJECTIVE

On the basis of the known diabetes risk in polycystic ovary syndrome (PCOS), recent guidelines of the Endocrine Society recommend the use of an oral glucose tolerance test (OGTT) to screen for impaired glucose tolerance (IGT) and type 2 diabetes (T2DM) in all women with PCOS. However, given the high prevalence of PCOS, OGTT would have a high cost-benefit ratio. In this study, we identified, through a receiver operating characteristic analysis, simple predictive markers of the composite endpoint (impaired fasting glucose (IFG) or IGT or IFG+IGT or T2DM) in women with PCOS according to the Rotterdam criteria.

DESIGN

We conducted a cross-sectional study of 241 women with PCOS in a university hospital setting.

METHODS

Clinical, anthropometric, and metabolic (including OGTT) parameters were evaluated. The homeostasis model assessment of insulin resistance (HOMA2-IR), the Matsuda index of insulin sensitivity, and the oral dispositional index and visceral adiposity index (VAI) were determined.

RESULTS

Out of 241 women included in this study, 28 (11.6%) had an IFG, 13 (5.4%) had IGT, four (1.7%) had IFG+IGT, and four (1.7%) had T2DM. Among the anthropometric variables examined, the VAI had a significantly higher C-statistic compared with BMI (0.760 (95% CI: 0.70-0.81) vs 0.613 (95% CI: 0.54-0.67); P=0.014) and waist circumference (0.760 (95% CI: 0.70-0.81) vs 0.619 (95% CI: 0.55-0.68); P=0.028). Among all the hormonal and metabolic serum variables examined, DHEAS showed the highest C-statistic (0.720 (95% CI: 0.65-0.77); P<0.001).

CONCLUSIONS

In addition to fasting glucose, the VAI and DHEAS may be considered useful tools for prescreening in all women with PCOS without the classical risk factors for diabetes.

Aspects of Cardiometabolic Risk in Women with Polycystic Ovary Syndrome

Women with polycystic ovary syndrome (PCOS), the most common endocrine disorder among women of reproductive age, exhibit an adverse cardiovascular risk profile characteristic of the cardiometabolic syndrome. These women, compared with age- and body mass index-matched women without PCOS, appear to present a higher risk of insulin resistance, glucose intolerance, and dyslipidemia, and possibly a higher rate of type 2 diabetes mellitus and cardiovascular disease. However, despite the presence of cardiovascular risk factors and increased surrogate markers of cardiovascular disease, it is unclear whether they have accelerated atherosclerosis and greater mortality, the latter mainly because of a lack of endpoint studies. This article addresses, summarizes, and discusses salient data from the existing literature, including gaps and uncertainties, aspects, and mechanisms related to the spectrum of adverse cardiometabolic profile factors in women with PCOS.

Visceral adiposity index: an indicator of adipose tissue dysfunction

The Visceral Adiposity Index (VAI) has recently proven to be an indicator of adipose distribution and function that indirectly expresses cardiometabolic risk. In addition, VAI has been proposed as a useful tool for early detection of a condition of cardiometabolic risk before it develops into an overt metabolic syndrome. The application of the VAI in particular populations of patients (women with polycystic ovary syndrome, patients with acromegaly, patients with NAFLD/NASH, patients with HCV hepatitis, patients with type 2 diabetes, and general population) has produced interesting results, which have led to the hypothesis that the VAI could be considered a marker of adipose tissue dysfunction. Unfortunately, in some cases, on the same patient population, there is conflicting evidence. We think that this could be mainly due to a lack of knowledge of the application limits of the index, on the part of various authors, and to having applied the VAI in non-Caucasian populations. Future prospective studies could certainly better define the possible usefulness of the VAI as a predictor of cardiometabolic risk.