Pharmacokinetics of insulin lispro in type 2 diabetes during closed-loop insulin delivery

Pharmacokinetics of Faster and Standard Insulin Aspart During Fully Closed-Loop Insulin Delivery in Type 2 Diabetes

Background: Faster insulin aspart is a novel formulation of insulin aspart aiming to accelerate its subcutaneous absorption. The aim of this study was to compare pharmacokinetics of faster insulin aspart versus standard insulin aspart in adults with type 2 diabetes during closed-loop insulin delivery. Methods: We assessed the pharmacokinetics of faster and standard insulin aspart from data obtained in a randomized double-blind crossover study evaluating fully closed-loop insulin delivery in adults with type 2 diabetes (n = 13, age 59 ± 10 years, BMI 34.5 ± 9.1 kg/m², HbA1c 7.7% ± 1.2% [60 ± 13 mmol/mol]). Blood samples were collected every 15-30 min for 10 h to determine plasma insulin aspart concentration using liquid chromatography mass spectrometry. Time to peak plasma concentration (T_max) was calculated using a two-compartment model. Results:T_max was 68.7 ± 21.6 min for faster aspart and 89.7 ± 31.8 min for aspart (mean paired difference faster aspart minus aspart -15.5 min, 95% CI [-31.6 to 0.6 min], P = 0.06). Metabolic clearance rate did not differ between the two insulins (P = 0.61). Insulin amount delivered during closed-loop with faster aspart positively correlated with T_max (r_S = 0.73, P = 0.01), whereas no statistically significant correlation was found with body mass index (BMI), weight or HbA1C (all P > 0.18). Conclusion: In conclusion, T_max tended to be shorter for faster aspart versus aspart during fully automated closed-loop insulin delivery and positively correlated with the amount of insulin delivered.

Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery

Background

Closed-loop insulin delivery is an emerging treatment for type 1 diabetes (T1D) evaluated clinically and using computer simulations during pre-clinical testing. Efforts to make closed-loop systems available to people with type 2 diabetes (T2D) calls for the development of a new type of simulators to accommodate differences between T1D and T2D. Presented here is the development of a model of posthepatic endogenous insulin concentration, a component omitted in T1D simulators but key for simulating T2D physiology.

Methods

We evaluated six competing models to describe the time course of endogenous insulin concentration as a function of the plasma glucose concentration and time. The models were fitted to data collected in insulin-naive subjects with T2D who underwent two 24-h visits and were treated, in a random order, by either closed-loop insulin delivery or glucose-lowering oral agents. The model parameters were estimated using a Bayesian approach, as implemented in the WinBUGS software. Model selection criteria were used to identify the best model describing our clinical data.

Results

The selected model successfully described endogenous insulin concentration over 24 h in both study periods and provided plausible parameter estimates. Model-derived results were in concordance with a clinical finding which revealed increased posthepatic endogenous insulin concentration during the control study period (P < 0.05). The modelling results indicated that the excess amount of insulin can be attributed to the glucose-independent effect as the glucose-dependent effect was similar between visits (P > 0.05).

Conclusions

A model to describe endogenous insulin concentration in T2D including components of posthepatic glucose-dependent and glucose-independent insulin secretion was identified and validated. The model is suitable to be incorporated in a simulation environment for evaluating closed-loop insulin delivery in T2D.

Electronic supplementary material

The online version of this article (doi:10.1186/s12938-015-0009-5) contains supplementary material, which is available to authorized users.