Evidence map›Paper›PMID 36609694›Full record

ArticleJournal of applied toxicology : JAT2023

A regression analysis using simple descriptors for multiple dermal datasets: Going from individual membranes to the full skin.

Marina V Evans, Thomas E Moxon, Guoping Lian, Benjamin N Deacon, Tao Chen, Linda D Adams, Annabel Meade, John F Wambaugh

Open access · bronzeAbstract read
In one paragraph

Article in Journal of applied toxicology : JAT, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Incorporating a dermal absorption route into high throughput toxicokinetic modeling.Journal of exposure science & environmental epidemiology · 2026
    Article
  2. 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

8 authors at 3 institutions in 2 countries.

Marina V EvansCenter for Computational Toxicology and Exposure, ORD, RTP, US EPA, Durham, North Carolina, USA.ORCID 0000-0002-2479-1738
Thomas E MoxonUnilever Safety and Environmental Assurance Centre, Bedfordshire, UK.
Guoping LianUK Unilever Science Research, Bedfordshire, UK.
Benjamin N DeaconDepartment of Chemical and Processing Engineering, UK University of Surrey, Guildford, UK.
Tao ChenDepartment of Chemical and Processing Engineering, UK University of Surrey, Guildford, UK.
Linda D AdamsCenter for Computational Toxicology and Exposure, ORD, RTP, US EPA, Durham, North Carolina, USA.
Annabel MeadeORISE, Oak Ridge, Tennessee, USA.
John F WambaughCenter for Computational Toxicology and Exposure, ORD, RTP, US EPA, Durham, North Carolina, USA.
Environmental Protection Agency · USUnilever (United Kingdom) · GBUniversity of Surrey · GB

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

In silico methods to estimate and/or quantify skin absorption of chemicals as a function of chemistry are needed to realistically predict pharmacological, occupational, and environmental exposures. The Potts-Guy equation is a well-established approach, using multi-linear regression analysis describing skin permeability (Kp) in terms of the octanol/water partition coefficient (logP) and molecular weight (MW). In this work, we obtained regression equations for different human datasets relevant to environmental and cosmetic chemicals. Since the Potts-Guy equation was published in 1992, we explored recent datasets that include different skin layers, such as dermatomed (including dermis to a defined thickness) and full skin. Our work was consistent with others who have observed that fits to the Potts-Guy equation are stronger for experiments focused on the epidermis. Permeability estimates for dermatomed skin and full skin resulted in low regression coefficients when compared to epidermis datasets. An updated regression equation uses a combination of fitted permeability values obtained with a published 2D compartmental model previously evaluated. The resulting regression equation was: logKp = -2.55 + 0.65logP - 0.0085MW, R

Indexed as

SkinSkin AbsorptionHumansLinear ModelsMalePermeabilityRegression Analysisconsumer productshuman skin permeabilitymultiple linear regressionPotts-Guy equation

Identifiers

PMID36609694
PMCPMC10367137
OpenAlexW4313678667

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.