Insulin resistance and hyperandrogenemia observed in polycystic ovary syndrome (PCOS) are associated with metabolic disturbances and could be connected with body composition pattern. To date, several studies defining the parameters of body composition using dual energy X-ray absorptiometry (DXA) method in the group of PCOS patients have been published, however, without the analysis in different phenotypes. The aim of the present study was to investigate the relationships between serum androgens concentration, insulin resistance and distribution of fat mass using DXA method in various PCOS phenotypes according to the Rotterdam criteria. We examined 146 women: 34 (38%) had PCOS phenotype A, 20 (23%) phenotype B, 20 (23%) phenotype C and 15 (16%) phenotype D (with mean age of each phenotype 25 years), and 57 control subjects (mean age of 25.5 years). Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated. Serum concentrations of testosterone, androstenedione and dehydroepiandrosterone sulfate (DHEA-S) were assessed and free androgen index (FAI) was calculated. In phenotypes A, B and C, we observed higher FAI in comparison to the control group (all p < 0.01). Serum concentrations of androstenedione and DHEA-S were higher in phenotypes A and C in comparison to the control group (all p < 0.01). However, only in phenotype A we found higher visceral adipose tissue (VAT) mass and android/gynoid ratio (A/G ratio) in comparison to the control group (all p < 0.01). In phenotype A, we observed connection of VAT with FAI (r = 0.58, p < 0.01). Accordingly, A/G ratio was related with FAI in all phenotypes (all p < 0.05). Additionally, in phenotype C, A/G ratio was related to serum concentrations of DHEA-S and androstenedione (r = 0.46, p = 0.03; r = 0.53, p = 0.01, respectively). We also found connections of HOMA-IR with VAT and A/G ratio in all phenotypes (all p < 0.05). Women with phenotype A had higher amount of VAT and A/G ratio in comparison to the control group. Serum concentration of androgens and insulin resistance are connected with VAT and A/G ratio in normoandrogenic and hyperandrogenic PCOS phenotypes.

Objective: Women with polycystic ovary syndrome (PCOS) are characterized by insulin resistance and higher prevalence of obesity. Serum ferritin is increased in obesity and is associated with insulin resistance. The aim of the present study was to evaluate the relationships between serum ferritin concentration with insulin resistance and body composition estimated by dual-energy X-ray absorptiometry (DXA) in PCOS women in comparison to the control group. Patients and Methods: One hundred four women were enrolled to the study−65 women with PCOS and 39 women matched for age and BMI as a control group. Serum ferritin concentration and oral glucose tolerance test (OGTT) were performed. Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated. DXA was performed to estimate fat, fat-free mass, and visceral adipose tissue (VAT). Results: Women with PCOS have higher serum concentration of ferritin (p = 0.002), insulin at baseline (p = 0.03), at 60 min of OGTT (p = 0.01), at 120 min of OGTT (p = 0.004), HOMA-IR (p = 0.03), and VAT (p = 0.0001) in comparison to the control group. We observed a relationship of serum ferritin with insulin concentration at baseline (r = 0.25, p = 0.04) and at 120 min of OGTT (r = 0.31, p = 0.01) and with HOMA-IR (r = 0.30, p = 0.01) in the PCOS group. We noticed an association between serum ferritin concentration and VAT (r = 0.42, p = 0.001), trunk fat mass (r = 0.25, p = 0.04), and android fat mass (r = 0.25, p = 0.04) in the PCOS group. Multiple regression analysis revealed that ferritin (p = 0.02, β = 0.17), insulin at baseline (p = 0.001, β = 0.30), glucose at the 120 min of OGTT (p = 0.007, β = 0.26), and triglycerides (p = 0.001, β = 0.33) were independent predictors of VAT amount in PCOS women. Conclusions: Elevated serum ferritin concentration is connected with insulin resistance as well as with DXA-estimated VAT, android, and trunk fat mass in PCOS women, and could be a marker of metabolic dysfunction.

The level of HNC cancer awareness in the young population is alarmingly low. A large number of non-medical students are unaware of risk factors and early symptoms. Educational campaigns aimed at effective prophylaxis, earlier diagnosis and treatment of HNC are needed.

Context Higher prevalence of polycystic ovary syndrome (PCOS) in women with type 1 diabetes (T1DM) is linked to exogenous insulin, especially when diabetes is diagnosed before puberty. Objective The study evaluates the impact of prepubertal onset of T1DM and insulin therapy on PCOS diagnosis and phenotypic characteristics in women with T1DM. Design, Setting and Patients We studied 83 women with T1DM (age – 26±5 years, BMI – 24±3 kg/m 2) – 36 with premenarchal onset of T1DM (17 with PCOS diagnosed – PCOS+PM, 19 without PCOS – noPCOS+PM) and 47 with postmenarchal onset of T1DM (24 with PCOS – PCOS-noPM and 23 without PCOS – noPCOS-noPM). Outcome Measurements Clinical examination, assessment of serum sex hormones, glycated haemoglobin (HbA1c) and ultrasonographic evaluation of the ovaries were performed in all women. Results Applying Rotterdam criteria, 49% of women with T1DM were diagnosed with PCOS. There were no differences in hormonal profile and ovarian parameters between PCOS+PM and PCOS-noPM. Women with T1DM+PM had higher insulin dose/24h and U/kg bw/24h than T1DM-noPM (p=0.014; p=0.001, respectively). Both PCOS+PM and noPCOS+PM groups had higher insulin dose U/kg bw/24h in comparison to PCOS-noPM (p=0.004; p=0.006, respectively). In multivariable logistic regression analysis, age of menarche (OR: 0.672; 95% CI: 0.465-0.971) and HbA1c (OR: 0.569; 95% CI: 0.383-0.846) were associated with the diagnosis of PCOS. Conclusions There were no differences in the prevalence of PCOS between T1DM+PM and T1DM-noPM; however, earlier menarche might have an influence on PCOS diagnosis in women with T1DM.

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy affecting reproductive-age women. Important factors in its pathogenesis are hyperinsulinaemia and insulin resistance, which lead to higher risk of metabolic syndrome (MetS) and its complications. With the implementation of the Rotterdam diagnostic criteria in 2003, the group of PCOS patients became highly heterogeneous, with varying metabolic risk reported for different phenotypes of the syndrome. The aim of the present review is to assess the prevalence and severity of MetS and its components in patients with the four phenotypes of PCOS. A comprehensive search of Pubmed database was performed to identify studies comparing metabolic characteristics between PCOS patients with different phenotypes of the syndrome. The results of 60 studies published between 2004 and 2020 were retrieved and analysed. More adverse metabolic profile was observed in PCOS patients with hyperandrogenic phenotypes in comparison to normoandrogenic patients, as well as in classic phenotypes, defined by National Institutes of Health criteria, in comparison to newer phenotypes introduced by the Rotterdam criteria. In the majority of observations, normoandrogenic PCOS patients did not differ significantly from controls in terms of metabolic characteristics, although some East Asian studies reported more adverse metabolic profile in normoandrogenic phenotype in comparison to healthy women. In conclusion, metabolic abnormalities in PCOS seem to be associated with joint effects of hyperandrogenism, insulin resistance and visceral obesity. The differences observed between the four phenotypes of PCOS underline the need for individualised diagnostic and therapeutic approach.

ObjectiveWomen with Hashimoto thyroiditis (HT) are characterized by increased incidence of infertility and disturbances in body composition. Serum anti-Müllerian hormone (AMH), which reflects functional ovarian reserve, is decreased in women with HT and it be related to body mass. The aim of the present study was to investigate the relation between serum levels of AMH and body composition in HT compared to control group.Patients and MethodsWe examined 85 euthyroid women: 39 subjects with HT and 46 control women. Body composition was analysed by dual-energy X-ray absorptiometry and with bioimpedance method. Serum concentrations of AMH, leptin, TSH, thyroid hormones were assessed.ResultsWe observed lower serum concentration of AMH in women with HT in comparison to the control group (p=0.01), but without differences in serum concentration of leptin between studied groups (p=0.28). Women with HT were characterized by higher %body fat (p=0.01) estimated with bioimpedance method without differences in BMI, android and gynoid fat mass and visceral adipose tissue (VAT) mass estimated with DXA method when compared to the control group (all p&gt;0.05). We found a negative relationship between serum concentration of AMH and %body fat (r=-0.38,p=0.03) in women with HT. Additionally, in HT group, the relationship between serum levels of AMH and leptin was not statistically significant (r=0.01,p=0.96). We observed a relationship between serum concentration of leptin and BMI, %body fat mass, android, gynoid and VAT mass in HT and in the control group (all p&lt;0.01).ConclusionsWomen with HT are characterized by lower levels of AMH and it is associated with higher fat mass, independently of serum levels of leptin.

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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.