Literature DB >> 28190245

Pharmacokinetic-pharmacodynamic modeling of the antihypertensive interaction between azilsartan medoxomil and chlorthalidone in spontaneously hypertensive rats.

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

Mesh:

Substances:

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


  39 in total

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Authors:  J Lötsch; G Geisslinger
Journal:  Clin Pharmacol Ther       Date:  2010-06       Impact factor: 6.875

4.  Pharmacokinetic-pharmacodynamic model of the antihypertensive interaction between telmisartan and hydrochlorothiazide in spontaneously hypertensive rats.

Authors:  Kun Hao; Yuancheng Chen; Xiaoping Zhao; Xiaoquan Liu
Journal:  J Pharm Pharmacol       Date:  2014-03-17       Impact factor: 3.765

5.  Spontaneous hypertension in rats versus essential hypertension in man.

Authors:  Y Yamori; K Okamoto
Journal:  Singapore Med J       Date:  1973-09       Impact factor: 1.858

Review 6.  Animal models of hypertension: an overview.

Authors:  Lilach O Lerman; Alejandro R Chade; Vincenzo Sica; Claudio Napoli
Journal:  J Lab Clin Med       Date:  2005-09

Review 7.  Azilsartan medoxomil in the treatment of hypertension: the definitive angiotensin receptor blocker?

Authors:  Vivencio Barrios; Carlos Escobar
Journal:  Expert Opin Pharmacother       Date:  2013-09-26       Impact factor: 3.889

8.  Pharmacokinetic-pharmacodynamic modeling of diltiazem in spontaneously hypertensive rats: a microdialysis study.

Authors:  Facundo M Bertera; Marcos A Mayer; Javier A W Opezzo; Carlos A Taira; Guillermo F Bramuglia; Christian Höcht
Journal:  J Pharmacol Toxicol Methods       Date:  2007-05-04       Impact factor: 1.950

9.  Population Pharmacokinetics and Exposure-Response of a Fixed-Dose Combination of Azilsartan Medoxomil and Chlorthalidone in Patients With Stage 2 Hypertension.

Authors:  Max C Tsai; Jingtao Wu; Stuart Kupfer; Majid Vakilynejad
Journal:  J Clin Pharmacol       Date:  2016-01-27       Impact factor: 3.126

Review 10.  Differential pharmacology and benefit/risk of azilsartan compared to other sartans.

Authors:  Theodore W Kurtz; Takashi Kajiya
Journal:  Vasc Health Risk Manag       Date:  2012-02-28
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