Scientific Works Series C. Veterinary Medicine

PRINT ISSN 2065-1295, ISSN-L: 2065-1295, ISSN CD: 2343-9394,ISSN ONLINE 2067-3663
 

COMBINING IN SILICO MODELING AND BLOOD GLUCOSE DATA TO INCREASE THE PERFORMANCE OF INSULIN THERAPY IN DIABETIC CATS

Published in Scientific Works. Series C. Veterinary Medicine, Vol. 19 ISSUE 4
Written by Madalina ROSCA, Adrian BURLACU, Gheorghe SOLCAN

The current study designs a potential mathematical model for insulin dependent diabetic cats, by examining the dynamics of glucose-insulin, based on an adaptive minimal model, commonly used for human investigations. Matlab software was used to develop the in silico environment. The glucose minimal model considered blood glucose concentration, blood insulin concentration, steady state blood insulin concentration and the steady state blood glucose concentration. An adaptation for the insulin minimal model was performed in order to describe exogenous insulin infusion, following the decay rate of blood insulin and the volume of insulin distribution pool. Model functionality was increased by describing glucose level alteration after a meal. In silico modelling demonstrated that it could be used to approximate insulin requirement in insulin dependent diabetic felines, based on the insulin dynamics after being administrated subcutaneously. The mathematical model provided reliable guiding information concerning insulin dosing in diabetic cats. Application of an adapted minimal model is a useful tool to examine glucose-insulin dynamics in cats, as it provides quantitative measure of insulin sensitivity. The predictions generated by the present model can be taken into account for insulin and meal adjustment during treatment and consequently a reduction of hypoglycemia incidence.

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