Key result
Pharmacokinetic models link CYP2C9 variants to ~3-fold higher losartan AUC and reduced BP response.
Why the study?
Losartan shows significant interindividual variability in pharmacokinetics and pharmacodynamics when used to treat hypertension and heart failure.
Does a PBPK/PD model of losartan accurately predict the effects of dose, organ impairment, and genetic polymorphisms on pharmacokinetics and blood pressure regulation?
Does a PBPK/PD model of losartan accurately predict the effects of dose, organ impairment, and genetic polymorphisms on pharmacokinetics and blood pressure regulation?
A mechanistic digital twin framework for losartan successfully predicts the impact of genetic variability and organ impairment on pharmacokinetics and blood pressure, supporting individualized dosing strategies.
Requires caution dosing losartan in CYP2C9 variants or hepatic impairment; leaves open prospective validation for personalized strategies.
Background/Objectives: Losartan, an angiotensin II receptor blocker (ARB) used to treat hypertension and heart failure, shows significant variability in pharmacokinetics (PK) and pharmacodynamics (PD) among individuals. Methods: In this study, we developed a physiologically based pharmacokinetic/ pharmacodynamic (PBPK/PD) model of losartan and its active metabolite, E3174, using curated data from 25 clinical trials. The model mechanistically describes the processes of absorption, hepatic metabolism, renal and fecal excretion, and pharmacodynamic blood pressure regulation. Simulation studies examined the effects of dose, hepatic and renal impairment, and genetic polymorphisms in cytochrome p450 2C9 (CYP2C9) and P-glycoprotein 1, also known as multidrug resistance protein 1 (MDR1) or ATP-binding cassette sub-family B member 1 (ABCB1), on the model. Results: The model successfully reproduced key PK/PD observations, including dose-dependent receptor blockade, attenuated responses with hepatic impairment, modest enhancement with renal impairment, and substantial variability in E3174 formation dependent on CYP2C9; the effects of ABCB1 were minimal. Specifically, dose dependency simulations confirmed the saturable nature of CYP2C9 metabolism, predicting a decreasing E3174-to-losartan ratio and a stronger, sustained suppression of blood pressure and aldosterone at higher doses. Hepatic impairment was predicted to lead to elevated losartan plasma concentrations (increased AUC) and attenuated metabolite formation, confirming the clinical need for dose reduction. Renal impairment simulations predicted stable losartan AUC but showed an overestimation of E3174 accumulation compared to observed data, where E3174 exposure remained stable. Genetic variability (CYP2C9) was the major determinant of response, with simulations confirming that reduced-function alleles lead to a 1.6- to 3-fold increase in losartan AUC and diminished blood pressure reduction. ABCB1 variability resulted in only minor modulation of systemic exposure and blood pressure effects. Conclusions: This mechanistic digital twin framework provides a quantitative basis for understanding variability in losartan therapy and supports its application in individualized dosing strategies.
No takes yet. Share an insight, caveat, or question.
Tensil et al. (2026) studied this question. Physiologically based modeling shows CYP2C9 variants increase losartan AUC by 1.6-3 fold and reduce BP response, while hepatic impairment elevates losartan levels and attenuates metabolite formation.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: