Evidence map›Paper›PMID 26972700›Full record

ArticleEuropean journal of drug metabolism and pharmacokinetics2017

Characterizing the Effects of Race/Ethnicity on Acetaminophen Pharmacokinetics Using Physiologically Based Pharmacokinetic Modeling.

Todd J Zurlinden, Brad Reisfeld

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Article in European journal of drug metabolism and pharmacokinetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 16 citations in OpenAlex.

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  8. Well-tempered MCMC simulations for population pharmacokinetic models.Journal of pharmacokinetics and pharmacodynamics · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Todd J ZurlindenDepartment of Chemical and Biological Engineering, Colorado State University, 1370 Campus Delivery, Fort Collins, CO, 80523-1370, USA.
Brad ReisfeldDepartment of Chemical and Biological Engineering, Colorado State University, 1370 Campus Delivery, Fort Collins, CO, 80523-1370, USA. brad.reisfeld@colostate.edu.
Colorado State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesAcetaminophen (APAP, paracetamol) is currently the principal cause of acute liver failure in both the USA and the UK. However, relatively little is known about the influence of genes and race/ethnicity on the disposition of APAP and the extent to which genetic variation and ethnicity may predispose individuals to a higher risk of APAP-induced hepatotoxicity. The objective of this research was to develop subpopulation-specific physiologically based pharmacokinetic (PBPK) models for two genetically different groups (Western Europeans and East Asians) and then use the models to quantify the difference in absorption, distribution, metabolism, and excretion (ADME) of APAP between these groups.

methodsA comprehensive set of human pharmacokinetic data mined from the literature was divided into two groups based on ethnicity as an indicator of the expected abundance of phenol-metabolizing alleles. Using these datasets and a Bayesian hierarchical framework, subpopulation-specific physiologically based pharmacokinetic models for APAP were developed and tested for the two groups.

resultsModel simulations were in good agreement with experimental data for both time-dependent parent and metabolite concentrations and summary pharmacokinetic parameters. In addition, simulations were conducted to characterize the difference between ADME in these groups with regard to urinary excretion and APAP area under the curve (AUC) in the liver. Although not dramatic at therapeutic dosing levels, these results demonstrated the divergence in the liver-specific APAP concentrations and AUC between the two groups and suggested that differences in glucuronidation capacity may play a role in this disparity.

conclusionsOverall, the models developed in this study, and others created using this type of hierarchical methodology, are expected to be useful in quantifying ADME in a subpopulation-specific manner and reducing prediction uncertainty compared to that from generalized PBPK modeling approaches.

Indexed as

Asian PeopleModels, BiologicalWhite PeopleAcetaminophenBayes TheoremComputer SimulationFemaleHumansMaleTissue DistributionAcetaminophen

Identifiers

PMID26972700
OpenAlexW2297521569

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.