2 research outputs found

    Epicardial adipose tissue thickness and NGAL levels in women with polycystic ovary syndrome

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    Cure, Medine Cumhur/0000-0001-9253-6459WOS: 000333112500001PubMed: 24528623Background: Polycystic ovary syndrome (PCOS) is associated with an increased cardiovascular disease (CVD) risk and early atherosclerosis. Epicardial adipose tissue thickness (EATT) is clinically related to subclinical atherosclerosis. in the present study, considering the major role of neutrophil gelatinase-associated lipocalin (NGAL) which is an acute phase protein rapidly releasing upon inflammation and tissue injury, we aimed to evaluate NGAL levels and EATT in PCOS patients and assess their relationship with cardiometabolic factors. Methods: 64 patients with PCOS and 50 age- and body mass index-matched healthy controls were included in the study. We evaluated anthropometric, hormonal and metabolic parameters. EATT was measured by echocardiography above the free wall of the right ventricle. Serum NGAL and high-sensitive C-reactive protein (hsCRP) levels were measured by ELISA. Results: Mean EATT was 0,38 +/-0,16 mm in the PCOS group and 0,34 +/-0,36 mm in the control group (p = 0,144). in the obese PCOS group (n = 44) EAT was thicker compared to the obese control group (n = 41) (p = 0.026). Mean NGAL levels of the patients with PCOS were 101,98 +/-21,53 pg/ml, while mean NGAL levels were 107,40 +/-26,44 pg/ml in the control group (p = 0,228). We found a significant positive correlation between EATT and age, BMI, waist circumference, fasting insulin, HOMA-IR, triglyceride and hsCRP levels in PCOS group. Conclusions: Thickness of the epicardial adipose tissue can be used to follow the risk of CVD development in obese PCOS cases. However serum NGAL levels do not differ in patients with PCOS and control group

    Evaluation of para-and perirenal fat thickness and its association with metabolic disorders in polycystic ovary syndrome

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    Durakoglugil, Emre/0000-0001-5268-4262WOS: 000377964800003PubMed: 26121442Objective: the aim of this study was to compare para-and perirenal fat (PFT) and subcutaneous abdominal fat (SFT) measurements between patients with polycystic ovary syndrome (PCOS) and control subjects and to assess the possible relation with metabolic disorders. Methods: This study included 68 patients with PCOS and 40 age-and body mass index (BMI)-matched healthy controls. We evaluated anthropometric, hormonal, and metabolic parameters, and abdominal ultrasonography was performed to measure PFT and SFT. Results: the mean PFT values were 6.1 +/- 2.9 mm in patients with PCOS and 4.3 +/- 2.3 mm in healthy controls (P =.002). SFT values were also higher in the patient group (9.6 +/- 5 mm) compared to healthy subjects (3.5 +/- 0.5 mm) (P =.017). A significant positive correlation was found between PFT and BMI (r = 0.368), waist circumference (WC) (r = 0.441), Ferriman-Gallwey (FG) score (r = 0.313), blood pressure (systolic, SBP, r = 0.213; diastolic, DBP, r = 0.215), plasma glucose (r = 0.195), homeostasis model assessment-insulin resistance (HOMA-IR, r = 0.273), SFT (r = 0.555). Conversely, negative correlations were found between PFT and estradiol (r = -0.218) and sex hormone-binding globulin (SHBG, r = -0.304). Nonobese PCOS patients (6.1 +/- 3.07 mm) had higher PFT values than nonobese controls (3.47 +/- 1.5 mm); however, SFT measurements did not differ (P =.086). in multiple linear regression analysis, SFT (P =.006) was a significant and independent predictor for PFT, along with WC (P =.023). in a stepwise model, SFT was the predictor of PFT (P =.001). Conclusion: PFT values were higher particularly in nonobese PCOS patients compared to nonobese control subjects. There was a significant interaction between PCOS and obesity on PFT
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