Evidence map›Paper›PMID 40571824›Full record

ArticleDrug delivery and translational research2026

Cutaneous pharmacokinetics of a volatile drug post-application to the skin.

Andrea Pensado, Panagiota Zarmpi, Jane White, Annette L Bunge, Richard H Guy, M Begoña Delgado-Charro

Abstract read
In one paragraph

Article in Drug delivery and translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Andrea PensadoDepartment of Life Sciences, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Panagiota ZarmpiDepartment of Life Sciences, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Jane WhiteDepartment of Mathematical Sciences, University of Bath, Bath, BA2 7AY, UK.
Annette L BungeDepartment of Chemical & Biological Engineering, Colorado School of Mines, Golden, 80401, CO, USA.
Richard H GuyDepartment of Life Sciences, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
M Begoña Delgado-CharroDepartment of Life Sciences, University of Bath, Claverton Down, Bath, BA2 7AY, UK. B.Delgado-Charro@bath.ac.uk.ORCID http://orcid.org/0000-0002-2233-7654

Funding

LEO Fondet LF16117
6 · The paper itself

Abstract

This research explored whether in vitro release and skin permeation tests, combined with in vitro and in vivo stratum corneum (SC) sampling, can quantify the "input rate" of a volatile drug into and through the skin. Two topical methyl salicylate (MeSA) products were studied. Drug release from the formulations across a silicone membrane was similar, with ~ 65% of the drug load being released in 6 h. In vitro porcine skin permeation tests showed that ~ 50% of the dose crossed the skin in 24 h from both products. In SC sampling experiments, the mass of MeSA in the SC at one 'uptake' and three 'clearance' time points was measured in vitro and in vivo (in humans). The MeSA quantity taken up into the SC in vitro was > 10-fold higher than that in vivo. The first-order rate constants describing clearance from the SC were calculated and found to be similar, in vitro and in vivo, for both formulations. Mass balance revealed that about one-third of the applied drug may have been lost by evaporation in vitro from the skin surface during 2 h of clearance. The results show that the cutaneous pharmacokinetics of MeSA are proportional to the amount of drug in the two formulations and that the complementary use of in vitro release and skin penetration tests with the SC sampling technique are valid tools with which to assess topical products containing volatile drugs.

Indexed as

SalicylatesSkinSkin AbsorptionAdministration, CutaneousAnimalsDrug LiberationFemaleHumansSwinemethyl salicylateSalicylatesCutaneous pharmacokineticsMethyl salicylateTape strippingTopical bioavailabilityVolatile drug

Identifiers

PMID40571824
PMCPMC13294149

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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.