Evidence map›Paper›PMID 33175239›Full record

ArticlePharmaceutical research2020

In Silico Simulation of Simultaneous Percutaneous Absorption and Xenobiotic Metabolism: Model Development and a Case Study on Aromatic Amines.

Lucy Coleman, Guoping Lian, Stephen Glavin, Ian Sorrell, Tao Chen

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Lucy ColemanDepartment of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK.ORCID http://orcid.org/0000-0001-9036-1317
Guoping LianDepartment of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK.
Stephen GlavinUnilever, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK.
Ian SorrellUnilever, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK.
Tao ChenDepartment of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK. t.chen@surrey.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/P504415/1
6 · The paper itself

Abstract

purposeTo advance physiologically-based pharmacokinetic modelling of xenobiotic metabolism by integrating metabolic kinetics with percutaneous absorption.

methodKinetic rate equations were proposed to describe the metabolism of a network of reaction pathways following topical exposure and incorporated into the diffusion-partition equations of both xenobiotics and metabolites. The published ex vivo case study of aromatic amines was simulated. Diffusion and partition properties of xenobiotics and subsequent metabolites were determined using physiologically-based quantitative structure property relationships. Kinetic parameters of metabolic reactions were best fitted from published experimental data.

resultsFor aromatic amines, the integrated transdermal permeation and metabolism model produced data closely matched by experimental results following limited parameter fitting of metabolism rate constants and vehicle:water partition coefficients. The simulation was able to produce dynamic concentration data for all the dermal layers, as well as the vehicle and receptor fluid.

conclusionThis mechanistic model advances the dermal in silico functionality. It provides improved quantitative spatial and temporal insight into exposure of xenobiotics, enabling the isolation of governing features of skin. It contributes to accurate modelling of concentrations of xenobiotics reaching systemic circulation and additional metabolite concentrations. This is vital for development of both pharmaceuticals and cosmetics.

Indexed as

Computer SimulationModels, BiologicalSkin AbsorptionAdministration, CutaneousAminesBiological AvailabilityDiffusionHumansSkinXenobioticsAminesXenobioticsbioavailabilitydiffusionin silico modellingmetabolismxenobiotic

Identifiers

What OpenQuestion holds

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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.