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Ultra rapid lispro (URLi) is a novel insulin lispro formulation that was developed to more closely match physiological insulin secretion. The aims of this study were to demonstrate the bioequivalence (BE) of a concentrated formulation (U200) of URLi to the U100 formulation of URLi after subcutaneous (SC) administration and to evaluate the glucodynamics (GD) of these formulations.
SAR247799 is a G-protein-biased sphingosine-1 phosphate receptor-1 (S1P1 ) agonist designed to activate endothelial S1P1 and provide endothelial-protective properties, while limiting S1P1 desensitization and consequent lymphocyte-count reduction associated with higher doses. The aim was to show whether S1P1 activation can promote endothelial effects in patients and, if so, select SAR247799 doses for further clinical investigation.
Ultra rapid lispro (URLi) is a novel insulin lispro formulation developed to more closely match physiological insulin secretion and improve postprandial glucose control. This study compared the insulin lispro pharmacokinetics and glucodynamics, safety and tolerability of URLi and Humalog® after a single subcutaneous dose in patients with type 2 diabetes mellitus (T2DM).
Ultra rapid lispro (URLi) is a novel insulin lispro formulation developed to more closely match physiological insulin secretion and improve postprandial glucose control. This pooled analysis compared the pharmacokinetics and glucodynamics between URLi and Humalog® in healthy subjects and patients with type 1 or type 2 diabetes mellitus.
Ultra rapid lispro (URLi) is a novel insulin lispro formulation developed to more closely match physiological insulin secretion and improve postprandial glucose control. This study compared the pharmacokinetics, glucodynamics, safety, and tolerability of URLi and Humalog® in patients with type 1 diabetes mellitus (T1DM).
The TIGG model is the first model to integrate glucose and insulin regulation, incretin effect, and triglyceride (TG) response in the lipoprotein subclasses of chylomicrons and VLDL-V6. This model described the response following a high-fat meal in individuals who are lean, obese, and very obese and provided insights into the possible regulation of glucose homeostasis in the extended period following a meal. Often, total TGs are analyzed within clinical studies, instead of lipoprotein subclasses. We extended the existing TIGG model to capture the observed total TGs and determined if this model could be used to predict the postprandial TG response of chylomicron and VLDL-V6 when only total TGs are available. To assess if the lipoprotein distinction was important for the model, a second model (tTIGG) was developed using only the postprandial response in total TGs, instead of postprandial TG response in chylomicrons and VLDL-V6. The two models were compared on their predictability to characterize the postprandial response of glucose, insulin, and active GLP-1. Both models were able to characterize the postprandial TG response in individuals who are lean, obese, or very obese following a high-fat meal. The extended TIGG model resulted in a better model fit of the glucose data compared to the tTIGG model, indicating that chylomicron and VLDL-V6 provided additional information compared to total TGs. Furthermore, the expanded TIGG model was able to predict the postprandial TG response of chylomicrons and VLDL-V6 using the total TGs and could therefore be used in studies where only total TGs were collected.
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