A pharmacokinetic model predicts antiviral metabolite concentrations in the central nervous system, suggesting dosing strategies.
Effective treatment of viral infections in the central nervous system (CNS) requires adequate nucleoside analogs exposure and conversion into phosphorylated metabolites (TP) in brain cells. To develop a CNS PBPK model (LeiCNS-PK3.2) that incorporates active brain cell membrane transport and brain intracellular fluid (brainICF) metabolism to predict and understand target site pharmacokinetics (PK), brainICF active triphosphate (TP) metabolites, and effects of antiviral drugs. LeiCNS-PK3.0 was extended with a brain cell membrane asymmetry factor (AF) using rat-derived K p,uu,cell values. Intracellular conversion of acyclovir and ganciclovir into TPs was modelled using in vitro kinetic parameters. LeiCNS-PK3.2 was validated on published rat and human plasma, brain extracellular fluid (brainECF), and cerebrospinal fluid (CSF) data. Simulated PK profiles for parent drug standard dosing regimens (acyclovir 10 mg/kg t.i.d.; ganciclovir 5 mg/kg b.i.d.) were compared to parent-drug profiles in brainECF, and TP metabolite in brainICF. Sensitivity analyses were performed on CNS physiological parameters and K p,uu,cell values. LeiCNS-PK3.2 accurately recaptured the observed data (<2-fold error range). Simulated brainECF parent drug concentrations often remained below reported IC 50 values, whereas brainICF TPs had smaller AUCs and longer time to equilibrium compared to acyclovir/ganciclovir in brainECF. Simulated pathological variations during CNS infection showed minimal impact on brainICF TP exposure, with proportional shifts in brainICF TP concentrations when varying K p,uu,cell. LeiCNS-PK3.2 can predict CNS target-site exposure of TPs and demonstrates that brainECF acyclovir/ganciclovir concentrations are distinct from brainICF TP levels. It may support intracellular PK/PD target determination to optimize dosing strategies for CNS viral infections.
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Sun et al. (2026) studied this question.
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