Towards a translational physiologically-based pharmacokinetic (PBPK) model for receptor-mediated transcytosis of anti-transferrin receptor monoclonal antibodies in the central nervous system
AbstractIn this manuscript, we present a translational physiologically-based pharmacokinetic (PBPK) model to characterize receptor-mediated transcytosis (RMT) of anti-transferrin receptor (TfR) monoclonal antibodies (mAbs) in the central nervous system (CNS). The model accounts for the state-of-the-art knowledge of the brain's anatomy and physiology, and physiological parameters were fixed according to different species. By estimating a few parameters associated with the TfR concentration, the TfR turnover, and the internalization rate, the model simultaneously characterizes plasma, whole brain, interstitial fluid (ISF), a...
Source: Journal of Pharmacokinetics and Pharmacodynamics - January 29, 2022 Category: Drugs & Pharmacology Source Type: research

Physiologically-based pharmacokinetic model for 2,4-dinitrophenol
AbstractNew approaches in drug development are needed to address the growing epidemic of obesity as the prevalence of obesity increases worldwide. 2,4-Dinitrophenol (DNP) is an oxidative phosphorylation uncoupling agent that was widely used in the early 1930s for weight loss but was quickly banned by the FDA due to the severe toxicities associated with the compound. One of the limitations leading to the demise of DNP as a pharmaceutical was a lack of understanding about the pharmacokinetic –pharmacodynamic relationship. The purpose of this study was to investigate whole body disposition of DNP in order to understand the ...
Source: Journal of Pharmacokinetics and Pharmacodynamics - January 28, 2022 Category: Drugs & Pharmacology Source Type: research

Thanks to our reviewers 2021!
(Source: Journal of Pharmacokinetics and Pharmacodynamics)
Source: Journal of Pharmacokinetics and Pharmacodynamics - January 22, 2022 Category: Drugs & Pharmacology Source Type: research

Prediction of CYP-mediated silybin A-losartan pharmacokinetic  interactions using physiological based pharmacokinetic modeling
This study aimed to assess silybin A-losartan interaction in different CYP2C9 genotypes using physiological-based pharmacokinetic (PBPK) model approach. The individual PBPK models for silybin A and losartan were developed using PK-Sim ®. Losartan pharmacokinetics was predicted with or without co-administration of silybin A in individuals of different CYP2C9 genotypes to find herbal-drug interaction. The predicted drug plasma curves and pharmacokinetic parameters were optimized using parameter identification tool and were compare d with reported pharmacokinetic parameters from the published clinical studies for model valid...
Source: Journal of Pharmacokinetics and Pharmacodynamics - January 21, 2022 Category: Drugs & Pharmacology Source Type: research

Editor ’s note on the themed issue: integration of machine learning and quantitative systems pharmacology
(Source: Journal of Pharmacokinetics and Pharmacodynamics)
Source: Journal of Pharmacokinetics and Pharmacodynamics - January 18, 2022 Category: Drugs & Pharmacology Source Type: research

R-praziquantel integrated population pharmacokinetics in preschool- and school-aged African children infected with Schistosoma  mansoni and S. haematobium and Lao adults infected with Opisthorchis viverrini
AbstractRacemic praziquantel (PZQ) is the standard treatment for schistosomiasis and liver fluke infections (opisthorchiasis and clonorchiasis). The development of an optimal pediatric formulation and dose selection would benefit from a population pharmacokinetic (popPK) model. A popPK model was developed for R-PZQ, the active enantiomer of PZQ, in 664 subjects, 493 African children (2 –15 years) infected withSchistosoma mansoni andS.  haematobium, and 171  Lao adults (15–78 years) infected withOpisthorchis viverrini. Racemate tablets were administered as single doses of 20, 40 and 60  mg/kg in children and 30, 40...
Source: Journal of Pharmacokinetics and Pharmacodynamics - January 13, 2022 Category: Drugs & Pharmacology Source Type: research

From data to QSP models: a pipeline for using Boolean networks for hypothesis inference and dynamic model building
AbstractQuantitative Systems Pharmacology (QSP) models capture the physiological underpinnings driving the response to a drug and express those in a semi-mechanistic way, often involving ordinary differential equations (ODEs). The process of developing a QSP model generally starts with the definition of a set of reasonable hypotheses that would support a mechanistic interpretation of the expected response which are used to form a network of interacting elements. This is a hypothesis-driven and knowledge-driven approach, relying on prior information about the structure of the network. However, with recent advances in our ab...
Source: Journal of Pharmacokinetics and Pharmacodynamics - January 6, 2022 Category: Drugs & Pharmacology Source Type: research

Understanding virtual patients efficiently and rigorously by combining machine learning with dynamical modelling
AbstractIndividual biological organisms are characterized by daunting heterogeneity, which precludes describing or understanding populations of ‘patients’ with a single mathematical model. Recently, the field of quantitative systems pharmacology (QSP) has adopted the notion ofvirtual patients (VPs) to cope with this challenge. A typical population of VPs represents the behavior of a heterogeneous patient population with a distribution of parameter values over a mathematical model of fixed structure. Though this notion of VPs is a powerful tool to describe patients ’ heterogeneity, the analysis and understanding of th...
Source: Journal of Pharmacokinetics and Pharmacodynamics - January 5, 2022 Category: Drugs & Pharmacology Source Type: research