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Physiologically based pharmacokinetic modeling of altered tizanidine systemic exposure by CYP1A2 modulation: Impact of drug-drug interactions and cigarette consumption.
Jogiraju, Vamshi Krishna; Heimbach, Tycho; Toderika, Yuliana; Taft, David R.
Afiliación
  • Jogiraju VK; Samuel J. and Joan B. Williamson Institute for Pharmacometrics, Division of Pharmaceutical Sciences, Arnold and Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, Brooklyn, NY, 11201, USA.
  • Heimbach T; Department of PK Sciences, PBPK and Biopharmaceutics Section, Novartis Institutes for Biomedical Research, East Hanover, NJ, 07936, USA.
  • Toderika Y; Division of Pharmacy Practice, Arnold and Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, Brooklyn, NY, 11201, USA.
  • Taft DR; Samuel J. and Joan B. Williamson Institute for Pharmacometrics, Division of Pharmaceutical Sciences, Arnold and Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, Brooklyn, NY, 11201, USA. Electronic address: david.taft@liu.edu.
Drug Metab Pharmacokinet ; 37: 100375, 2021 Apr.
Article en En | MEDLINE | ID: mdl-33561738
ABSTRACT
Tizanidine is an alpha2-adrenergic agonist, used to treat spasticity associated with multiple sclerosis and spinal injury. Tizanidine is primarily metabolized by CYP1A2 and is considered a sensitive index substrate for this enzyme. The physiologically based pharmacokinetic (PBPK) modeling platform Simcyp® was used to evaluate the impact of CYP1A2 modulation on tizanidine exposure through drug-drug interactions (DDIs) and host-dependent habits (cigarette smoking). A PBPK model was developed to predict tizanidine disposition in healthy volunteers following oral administration. The model was verified based on agreement between model-simulated and clinically observed systemic exposure metrics (Cmax, AUC). The model was then used to carry-out DDI simulations to predict alterations in tizanidine systemic exposure when co-administered with various CYP1A2 perpetrators including competitive inhibitors (fluvoxamine, ciprofloxacin), a mechanism-based inhibitor (rofecoxib), and an inducer (rifampin). Additional simulations were performed to evaluate the impact of cigarette smoking on systemic exposure. Under each scenario, the PBPK model was able to capture the observed fold changes in tizanidine Cmax and AUC of tizanidine when coadministered with CYP1A2 inhibitors or inducers. These results add to the available research findings in the literature on PBPK predictions of drug-drug interactions and illustrate the potential application in drug development, specifically to support product labeling.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Clonidina / Citocromo P-450 CYP1A2 / Productos de Tabaco / Fumar Cigarrillos Tipo de estudio: Prognostic_studies Idioma: En Revista: Drug Metab Pharmacokinet Asunto de la revista: FARMACOLOGIA / METABOLISMO Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Clonidina / Citocromo P-450 CYP1A2 / Productos de Tabaco / Fumar Cigarrillos Tipo de estudio: Prognostic_studies Idioma: En Revista: Drug Metab Pharmacokinet Asunto de la revista: FARMACOLOGIA / METABOLISMO Año: 2021 Tipo del documento: Article