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.
Similar content being viewed by others
References
Adolph EF (1949) Quantitative relations in the physiological constitutions of mammals. Science 109:579–585
Anger GJ, Piquette-Miller M (2008) Translational pharmacology: harnessing increased specialization of research within the basic biological sciences. Clinical Pharmacology & Therapeutics 83:797–801
Bakris GL, Sica D, White WB, Cushman WC, Weber MA, Handley A, Song E, Kupfer S (2012) Antihypertensive efficacy of hydrochlorothiazide vs chlorthalidone combined with azilsartan medoxomil. Am J Med 125:1229.e1221–1229.e1210
Barrios V, Escobar C (2013) Azilsartan medoxomil in the treatment of hypertension: the definitive angiotensin receptor blocker? Expert Opin Pharmacother 14:2249–2261
Bertera FM, Mayer MA, Opezzo JA, Taira CA, Bramuglia GF, Höcht C (2007) Pharmacokinetic–pharmacodynamic modeling of diltiazem in spontaneously hypertensive rats: a microdialysis study. J Pharmacol Toxicol Methods 56:290–299
Davies D, Wilson G (1975) Diuretics: mechanism of action and clinical application. Drugs 9:178–226
Dayneka NL, Garg V, Jusko WJ (1993) Comparison of four basic models of indirect pharmacodynamic responses. J Pharmacokinet Biopharm 21:457–478
De Caterina AR, Harper AR, Cuculi F (2012) Critical evaluation of the efficacy and tolerability of azilsartan. Vasc Health Risk Manag 8:299
Dinh DT, Frauman AG, Johnston CI, Fabiani ME (2001) Angiotensin receptors: distribution, signalling and function. Clin Sci 100:481–492
Dorsch MP, Gillespie BW, Erickson SR, Bleske BE, Weder AB (2011) Chlorthalidone reduces cardiovascular events compared with hydrochlorothiazide a retrospective cohort analysis. Hypertension 57:689–694
Earp J, Krzyzanski W, Chakraborty A, Zamacona MK, Jusko WJ (2004) Assessment of drug interactions relevant to pharmacodynamic indirect response models. J Pharmacokinet Pharmacodyn 31:345–380
Gabrielsson J, Weiner D (2001) Pharmacokinetic and pharmacodynamic data analysis: concepts and applications. CRC Press
Gabrielsson J, Weiner D (2007) Pharmacokinetic and pharmacodynamic data analysis: concepts and applications: concepts and application. Swedish pharmaceutical society, Swedish Pharmaceutical Press, Stockholm
Gorostidi M, de la Sierra A (2013) Combination therapy in hypertension. Adv Ther 30:320–336
Gradman AH, Basile JN, Carter BL, Bakris GL (2010) Combination therapy in hypertension. Journal of the American Society of Hypertension 4:42–50
Greco WR, Bravo G, Parsons JC (1995) The search for synergy: a critical review from a response surface perspective. Pharmacol Rev 47:331–385
Hao K, Chen Y, Zhao X, Liu X (2014) Pharmacokinetic-pharmacodynamic model of the antihypertensive interaction between telmisartan and hydrochlorothiazide in spontaneously hypertensive rats. J Pharm Pharmacol 66:1112–1121
Hao K, Yu D (2007) Pharmacokinetic-pharmacodynamic modeling of telmisartan using an indirect response model in spontaneously hypertensive rats1. Acta Pharmacol Sin 28:738–743
Hocht C, Mayer MA, Opezzo JA, Bertera FM, Taira CA (2008) Pharmacokinetic-pharmacodynamic modeling of antihypertensive drugs: from basic research to clinical practice. Curr Hypertens Rev 4:289–302
Huang X-H, Qiu F-R, Xie H-T, Li J (2005a) Pharmacokinetic and pharmacodynamic interaction between irbesartan and hydrochlorothiazide in renal hypertensive dogs. J Cardiovasc Pharmacol 46:863–869
Huang X-H, Qiu F-R, Xie H-T, Li J (2005b) Pharmacokinetic and pharmacodynamic of irbesartan in renal hypertensive dogs under non-steady-state and steady-state conditions. Eur J Drug Metab Pharmacokinet 30:121–126
Jin C, O'Boyle S, Kleven DT, Pollock JS, Pollock DM, White JJ (2014) Antihypertensive and anti-inflammatory actions of combined azilsartan and chlorthalidone in Dahl salt-sensitive rats on a high-fat, high-salt diet. Clin Exp Pharmacol Physiol 41:579–588
Jusko WJ, Ko HC (1994) Physiologic indirect response models characterize diverse types of pharmacodynamic effects. Clin Pharmacol Ther 56:406–419
Kawaguchi N, Ebihara T, Takeuchi T, Morohashi A, Yamasaki H, Tagawa Y, Takahashi J, Kondo T, Asahi S (2013) Absorption of TAK-491, a new angiotensin II receptor antagonist, in animals. Xenobiotica 43:182–192
Komukai K, Mochizuki S, Yoshimura M (2010) Gender and the renin–angiotensin–aldosterone system. Fundamental & clinical pharmacology 24:687–698
Krzyzanski W, Jusko WJ (1997) Mathematical formalism for the properties of four basic models of indirect pharmacodynamic responses. J Pharmacokinet Biopharm 25:107–123
Kurtz TW, Kajiya T (2012) Differential pharmacology and benefit/risk of azilsartan compared to other sartans. Vasc Health Risk Manag 8:133–143
Kusumoto K, Igata H, Ojima M, Tsuboi A, Imanishi M, Yamaguchi F, Sakamoto H, Kuroita T, Kawaguchi N, Nishigaki N (2011) Antihypertensive, insulin-sensitising and renoprotective effects of a novel, potent and long-acting angiotensin II type 1 receptor blocker, azilsartan medoxomil, in rat and dog models. Eur J Pharmacol 669:84–93
Laragh JH, Sealey JE (2003) Relevance of the plasma renin hormonal control system that regulates blood pressure and sodium balance for correctly treating hypertension and for evaluating ALLHAT. Am J Hypertens 16:407–415
Lerman LO, Chade AR, Sica V, Napoli C (2005) Animal models of hypertension: an overview. J Lab Clin Med 146:160–173
Lötsch J, Geisslinger G (2010) Bedside-to-bench pharmacology: a complementary concept to translational pharmacology. Clin Pharmacol Ther 87:647
Mager D, Jusko W (2008) Development of translational pharmacokinetic–pharmacodynamic models. Clinical Pharmacology & Therapeutics 83:909–912
Mager DE, Wyska E, Jusko WJ (2003) Diversity of mechanism-based pharmacodynamic models. Drug Metab Dispos 31:510–518
Mancia G, De Backer G, Dominiczak A, Cifkova R, Fagard R, Germano G, Grassi G, Heagerty AM, Kjeldsen SE, Laurent S (2007) 2007 ESH-ESC practice guidelines for the management of arterial hypertension: ESH-ESC task force on the management of arterial hypertension. J Hypertens 25:1751–1762
Pan B, Huang L, Yang B (2012) Organic amine salts of azilsartan, preparation method and use thereof. Google Patents
Pérez-Urizar J, Granados-Soto V, Flores-Murrieta FJ, Castañeda-Hernández G (2000) Pharmacokinetic-pharmacodynamic modeling: why? Arch Med Res 31:539–545
Pierini D, Anderson KV (2013) Azilsartan medoxomil/chlorthalidone: a new fixed-dose combination antihypertensive. Ann Pharmacother 47:694–703
Ramakrishna R, Kumar Puttrevu S, Bhateria M, Bala V, Sharma VL, Bhatta RS (2015) Simultaneous determination of azilsartan and chlorthalidone in rat and human plasma by liquid chromatography-electrospray tandem mass spectrometry. J Chromatogr B 990:185–197
Sharma A, Jusko WJ (1998) Characteristics of indirect pharmacodynamic models and applications to clinical drug responses. Br J Clin Pharmacol 45:229–239
Sica D, Bakris GL, White WB, Weber MA, Cushman WC, Huang P, Roberts A, Kupfer S (2012) Blood pressure–lowering efficacy of the fixed-dose combination of azilsartan medoxomil and chlorthalidone: a factorial study. The Journal of Clinical Hypertension 14:284–292
Toutain P-L (2002) Pharmacokinetic/pharmacodynamic integration in drug development and dosage-regimen optimization for veterinary medicine. Aaps Pharmsci 4:160–188
Tsai MC, Wu J, Kupfer S, Vakilynejad M (2015) Population pharmacokinetics and exposure-response of a fixed-dose combination of azilsartan medoxomil and chlorthalidone in patients with stage 2 hypertension. J Clin Pharmacol
US-FDA (2005) Estimating the maximum safe starting dose in initial clinical trials for therapeutics in adult healthy volunteers. In: Administration USDoHaHSFaD (ed) Center for Drug Evaluation and Research (CDER)
Yamori Y, Okamoto K (1973) Spontaneous hypertension in rats versus essential hypertension in man. Singap Med J 14:393–394
Acknowledgements
The authors are thankful to the Director, CDRI, for providing facilities and infrastructure for the study. Authors SKP, RR, MB, and MJ are also thankful to the Council of Scientific and Industrial Research (CSIR) for providing fellowship and CSIR research grant through THUNDER project (BSC-1012). CSIR-CDRI communication number for this manuscript is: 9418.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
All the experimental procedures were approved by the Institutional Animal Ethics Committee (IAEC) of CSIR-CDRI [IAEC approval no. IAEC/2011/21/Renew-4 (102/15)]. All the animal experiments were performed according to IAEC approved guidelines and regulations.
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Santosh Kumar Puttrevu, Rachumallu Ramakrishna, and Manisha Bhateria contributed equally to this work.
Electronic supplementary material
Supplementary table 1
(DOCX 11 kb)
Rights and permissions
About this article
Cite this article
Kumar Puttrevu, S., Ramakrishna, R., Bhateria, M. et al. Pharmacokinetic-pharmacodynamic modeling of the antihypertensive interaction between azilsartan medoxomil and chlorthalidone in spontaneously hypertensive rats. Naunyn-Schmiedeberg's Arch Pharmacol 390, 457–470 (2017). https://doi.org/10.1007/s00210-017-1339-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00210-017-1339-6