Evidence map›Paper›PMID 28660400›Full record

ArticlePharmaceutical research2017

Development of a Two-Dimensional Model for Predicting Transdermal Permeation with the Follicular Pathway: Demonstration with a Caffeine Study.

Panayiotis Kattou, Guoping Lian, Stephen Glavin, Ian Sorrell, Tao Chen

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 45 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Panayiotis KattouDepartment of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK.
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.ORCID http://orcid.org/0000-0002-3941-1603
Unilever (United Kingdom) · GBUniversity of Surrey · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L502042/1
6 · The paper itself

Abstract

purposeThe development of a new two-dimensional (2D) model to predict follicular permeation, with integration into a recently reported multi-scale model of transdermal permeation is presented.

methodsThe follicular pathway is modelled by diffusion in sebum. The mass transfer and partition properties of solutes in lipid, corneocytes, viable dermis, dermis and systemic circulation are calculated as reported previously [Pharm Res 33 (2016) 1602]. The mass transfer and partition properties in sebum are collected from existing literature. None of the model input parameters was fit to the clinical data with which the model prediction is compared.

resultsThe integrated model has been applied to predict the published clinical data of transdermal permeation of caffeine. The relative importance of the follicular pathway is analysed. Good agreement of the model prediction with the clinical data has been obtained. The simulation confirms that for caffeine the follicular route is important; the maximum bioavailable concentration of caffeine in systemic circulation with open hair follicles is predicted to be 20% higher than that when hair follicles are blocked.

conclusionsThe follicular pathway contributes to not only short time fast penetration, but also the overall systemic bioavailability. With such in silico model, useful information can be obtained for caffeine disposition and localised delivery in lipid, corneocytes, viable dermis, dermis and the hair follicle. Such detailed information is difficult to obtain experimentally.

Indexed as

Administration, CutaneousBiological AvailabilityCaffeineComputer SimulationDermisDiffusionDrug Delivery SystemsDrug LiberationEpidermisHairHair FollicleHumansLipidsPermeabilitySebumSkin AbsorptionCaffeineLipidsSolutionsbioavailabilitydiffusionin silico modellingpharmacokinetic modeltransdermal drug delivery

Identifiers

PMID28660400
PMCPMC5579157
OpenAlexW2728277719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.