Angiopoietin like protein 3 (Angptl3), fatty acid binding protein 4 (FABP4) and homeostasis model assessment of insulin resistance (HOMA-IR) among Indonesian obese non diabetic males.

Aim To reveal the correlation between Angptl3, FABP4 and HOMA-IR among Indonesian obese non diabetic males. Methods This is a cross sectional study with 133 obese non diabetic males volunteers (characterized by waist circumference > 90 cm; fasting blood glucose < 126 mg/dL; and no diabetic specific symptoms) age between 30-60 years which was done in Jakarta, Indonesia. We measured biochemical markers such as Angptl3, FABP4, FFA, fasting insulin and fasting glucose. We also measured weight, height, waist circumference (WC), systolic blood pressure (SBP) and diastolic blood pressure (DBP). Correlation between each marker was measured using Pearson and Spearman’s analysis. Results Pearson and Spearman’s correlation analysis showed significant positive correlation between Angptl3 and FABP4 (r = 0.319; P = 0.000), Angptl3 and FFA (r = 0.171; r = 0.049), FABP4 and HOMA-IR (r = 0.202; P = 0.019), FFA and FABP4 (r = 0.506; P = 0.000), WC and HOMA-IR (r = 0.323; P = 0.000), WC and FABP4 (r = 0.387; P = 0.000), Body Mass Index (BMI) and HOMA-IR (r = 0.270; P = 0.002), BMI and FABP4 (r = 0.362; P = 0.000). Conclusion This study showed positive significant correlations between Angptl3-FABP4, Angptl3-FFA, FFA-FABP4 and FABP4-HOMA-IR. We suggest that Angptl3 can activate lipolysis in adipose tissue (through its correlation with FABP4), and Angptl3 concentration is related to insulin resistance risk among Indonesian obese non diabetic males.

The Relationship Between Retinol/Retinol Binding Protein 4 ratio, resistin and inflammation in non diabetic obese Indonesian men.

Aim To verify the correlation between Retinol/RBP4 Ratio, and resistin with inflammation (represented by hsCRP) in non-diabetic obese Indonesian men Methods This was a cross sectional study using 125 subjects. Measured parameters were retinol, RBP4, resistin, and hsCRP. Correlation between retinol, RBP4, resistin, hsCRP and Retinol/RBP4 Ratio was calculated. Cut off point of hsCRP were classiied as follows: <1 mg/l for low risk of inflammation, 1-3 mg/l for moderate risk, and 3-10 mg/l for high risk (according to CVD risk). The Retinol/RBP4 ratio was dichotomized into high (>0.9) and low ratio (≤0.9). The cross tabulation test was performed to predict the inflammation trends described by Retinol/RBP4 Ratio and resistin. Results Retinol was found strongly correlated with RBP4 and resistin (r=0.53; p<0.01). A positive but not significant correlation was found between resistin and Retinol/RBP4 Ratio with hsCRP. In high ratio group, 17.6% subjects were found with low risk inflammation, 26.4% with moderate risk, and 20.8% with high risk, in low ratio group, 8% subjects were low risk inflammation, 20% moderate risk, and 7.2% high risk. Combination between ratio and resistin showed that in “high ratio and low resistin” group, 12% subjects have low risk of inflammation and 8% have high risk. Meanwhile in “low ratio and high resistin” group, 3.2% subjects were found having low risk and 13.6% high risk of inflammation. Conclusions Combination between Retinol/RBP4 Ratio and resistin showed better description about the inflammation risk in non-diabetic obese subjects compare to the ratio itself.