ECE2015 Eposter Presentations Obesity and cardiovascular endocrinology (108 abstracts)
Liver enzymes and triglycerides predict biomarkers of insulin sensitivity in obese, non-diabetic adult patients
Ana Gligic 1 , Mirjana Sumarac-Dumanovic 1, , Snezana Polovina 1 , Aleksandra Kendereski 1, , Danica Stamenkovic-Pejkovic 1 , Goran Cvijovic 1, , Svetlana Zoric 1 , Danka Jeremic 1 , Jelena Milin-Lazovic 1 & Dragan Micic 1,
1Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia, Belgrade, Serbia; 2Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Introduction: Obesity is a risk factor for the development of insulin resistance, type 2 diabetes, cardiovascular diseases and non-alcoholic fatty liver disease. The aim of our study was to examine predictive value of liver enzymes in assessing biomarkers of insulin sensitivity in obese, non-diabetic adults.
Methods: 1104 obese, non-diabetic adults were included in the study. Patients were divided into two groups: Group A (BMI 30.0–39.9 kg/m2, n=499) and Group B (BMI ≥40 kg/m2, n=605). After 12 h of fasting, anthropometric evaluation (BMI, waist-to-hip ratio and percentage body fat) was performed and blood levels of glucose, insulin, HbA1c, total cholesterol, HDL, LDL, triglycerides, AST, ALT, γ-GT and CRP were obtained. HOMA-IR was calculated. Multiple linear regression was used for statistical analysis.
Results: We found that ALT, γ-GT and triglycerides are predictors of HOMA-IR score in Group A (R2=0.02, P=0.007; R2 =0.04, P< 0.001; R2=0.06, P<0.001, respectively), as well as in Group B (R2=0.03, P=0.002; R2=0.07, P<0.001, R2=0.04, P<0.001, respectively). Percentage of body fat predicts HOMA-IR score in Group A (R2=0.02, P=0.021), whereas waist-to-hip ratio predicts HOMA-IR score in Group B (R2=0.05, P<0.001). Moreover, ALT and γ-GT predict HbA1c in Group B (R2=0.03, P<0.001; R2=0.06, P<0.001, respectively).
Conclusion: These results have verified that parameters of insulin sensitivity in obese, non-diabetic patients could be presumed mainly by levels of liver enzymes and triglycerides. Therefore, these data contribute to the essential role of liver function tests in the detection of metabolically abnormal obesity.
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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