Literature DB >> 32307228

Extrapolation for a pharmacokinetic model for acetaminophen from adults to neonates: A Latin Hypercube Sampling analysis.

S Zhang1, E Zhang2, H Ho3.   

Abstract

Physiological and drug-specific parameters need to be adjusted when extrapolating a pharmacokinetic (PK) model from adults to neonates, so as to reproduce the time profiles of the studied drug(s) consistent with clinical, in vivo data or in vitro cell line measurements. In this paper we present a parameter analysis method, i.e. the Latin Hypercube Sampling (LHS) method for an acetaminophen (APAP) PK model. The original model consists of two compartments (the blood and the urine) with Michaelis-Menten kinetic parameters determined for APAP and its metabolites. The physiological parameters are scaled through allometric laws from adults to neonates, and APAP-specific parameters are adjusted for enzymatic maturational changes. The LHS method is used to statistically investigate the interplay between these parameters. The results for the extrapolated APAP model are consistent with published APAP PK data in neonates. We found the sulphation clearance parameter played a crucial role in the neonatal PK model, but its influence was weakened if the volume of distribution parameters were included. We suggest that this kind of in silico experiment could be valuable as the first step in PK model extrapolation between different ages.
Copyright © 2020 The Japanese Society for the Study of Xenobiotics. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acetaminophen; Extrapolation; Metabolism; Neonates; Pharmacokinetic modelling

Mesh:

Substances:

Year:  2020        PMID: 32307228     DOI: 10.1016/j.dmpk.2020.03.004

Source DB:  PubMed          Journal:  Drug Metab Pharmacokinet        ISSN: 1347-4367            Impact factor:   3.614


  2 in total

1.  In Silico Modeling for Ex Vivo Placental Transfer of Morphine.

Authors:  Harvey Ho; Shengjie Zhang; Ken Kurosawa; Koji Chiba
Journal:  J Clin Pharmacol       Date:  2022-09       Impact factor: 2.860

2.  Secondhand Smoking and Sudden Infant Death Syndrome: How can in Silico Pharmacokinetics and Circulation Models Contribute?

Authors:  Harvey Ho; Tingting Ran; Xiaojuan Ji
Journal:  Front Bioeng Biotechnol       Date:  2022-01-17
  2 in total

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