| Literature DB >> 28190245 |
Santosh Kumar Puttrevu1,2, Rachumallu Ramakrishna1,2, Manisha Bhateria1,2, Moon Jain2,3, Kashif Hanif2,3, Rabi Sankar Bhatta4,5.
Abstract
A pharmacokinetic-pharmacodynamic (PK-PD) model was developed to describe the time course of blood pressure following oral administration of azilsartan medoxomil (AZM) and/or chlorthalidone (CLT) in spontaneously hypertensive (SH) rats. The drug concentration and pharmacological effects, including systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and tail-cuff manometry, respectively. Sequential PK-PD analysis was performed, wherein the plasma concentration-time data was modeled by one compartmental analysis. Subsequently PD parameters were calculated to describe the time-concentration-response relationship using indirect response (IDR) PK-PD model. The combination of AZ and CLT had greater BP lowering effect compared to AZ or CLT alone, despite of no pharmacokinetic interaction between two drugs. These findings suggest synergistic antihypertensive pharmacodynamic interaction between AZ and CLT noncompetitively, which was simulated by inhibitory function of AZ and stimulatory function of CLT after concomitant administration of the two drugs. The present model was able to capture the turnover of blood pressure adequately at different time points at two different dose levels. The current PK-PD model was successfully utilized in the simulation of PD effect at a dose combination of 0.5 and 2.5 mg/kg for AZ and CLT, respectively. The developed preclinical PK-PD model may provide guidance in the optimization of dose ratio of individual drugs in the combined pharmacotherapy of AZ and CLT at clinical situations.Entities:
Keywords: Indirect response models; Noncompetitive interaction; PK-PD model; Pharmacodynamics; Pharmacokinetics; Synergism
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Year: 2017 PMID: 28190245 DOI: 10.1007/s00210-017-1339-6
Source DB: PubMed Journal: Naunyn Schmiedebergs Arch Pharmacol ISSN: 0028-1298 Impact factor: 3.000