Population pharmacodynamic modeling of exenatide after 2-week treatment in STZ/NA diabetic rats.
J Pharm Sci · 2013
Last updated 2026-05-28In a study on diabetic rats, two weeks of treatment with exenatide (20 micrograms per kilogram per day) lowered fasting blood sugar by 30 milligrams per deciliter, whether given as a continuous infusion or two daily injections. Both methods also improved the rats’ ability to handle a glucose challenge, though overall blood sugar control was similar between the two groups. Researchers created a model to track how the drug affects glucose over time.
AI summary of the abstract below.
| Journal | J Pharm Sci, 2013 |
|---|---|
| Citations | 13 |
| Relative citation ratio | 0.49 |
| NIH percentile | 29 |
| Molecules | exenatide |
| Conditions studied | Type 2 Diabetes |
Abstract
The purpose of this study is to investigate the effect of exenatide on glycemic control following two administration routes in a streptozotocin/nicotinamide (STZ/NA)-induced diabetic rat model, and to develop a pharmacodynamic model to better understand the disease progression and the action of exenatide in this experimental system. Two groups of STZ/NA-induced diabetic rats were treated for 2 weeks with 20 (μg/kg/day) of exenatide, either by continuous subcutaneous (SC) infusion or two SC injections daily. Disease progression was associated with slower glucose utilization. Fasting blood glucose was significantly reduced by 30 mg/dL in both treatment groups at the end of 2 weeks. A subsequent intravenous glucose tolerance test (IVGTT) confirmed an improved glucose tolerance in both treatment groups; however, overall glycemic control was similar between groups, likely due to the relatively low and short-term drug exposure. A population indirect response model was successfully developed to simultaneously describe the STZ/NA-induced disease progression, responses to an IVGTT, and exenatide effects on these systemic challenges. The unified model includes a single set of parameters, and the cumulative area under the drug-receptor concentration curve was used as a unique driving force to account for systemic effects long after drug elimination.
Verbatim abstract via PubMed 23897494 ↗
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