Analysis of insulin resistance using the non-linear homeostatic model assessment index in overweight canines

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Abstract

Background and Aim: Diabetes mellitus is a carbohydrate metabolism disorder produced mainly by a deficit in insulin production or insulin resistance. The homeostatic model assessment (HOMA) is a broad method for estimating insulin resistance and β-cell function. This study aimed to evaluate the stages of insulin resistance using non-linear HOMA index analysis in normoglycemic normal weight and obese canines. Materials and Methods: Insulin resistance was evaluated using the mathematical HOMA non-linear model in canines with different body and glycemic conditions. Forty canines were studied, including 20 normoglycemic normal weight canines and 20 normoglycemic obese canines. Chi-square statistical test was applied, in which the body condition and HOMA nonlinear index were evaluated. The Spearman correlation test was conducted to evaluate the glycemic and insulin variables in both types of canines. Results: The Spearman correlation presented a correlation between increased blood glucose levels and insulin in obese canines, with a correlation of 0.79, while no significant changes in insulin were found in normal weight canines with different blood glucose levels, with a correlation of -0.11. The analysis of the non-linear HOMA index showed significant differences between non-linear HOMA insulin resistance in normal weight and obese canines, with a Chi-square statistic of 16.9424 and p = 0.000039. Canine with increased HOMA 2 showed higher levels of insulin with increasing blood glucose compared to those with normal HOMA 2. Conclusion: The HOMA 2 is a marker for evaluating increased insulin resistance in obese dogs and can be used to determine patients at risk for glycemic alterations.

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Gonzlez-Villar, F., & Prez-Bravo, F. (2022). Analysis of insulin resistance using the non-linear homeostatic model assessment index in overweight canines. Veterinary World, 15(6), 1408–1412. https://doi.org/10.14202/vetworld.2022.1408-1412

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