Scientific Data (Feb 2024)

An update of skin permeability data based on a systematic review of recent research

  • Lisa Chedik,
  • Shamkhal Baybekov,
  • Frédéric Cosnier,
  • Gilles Marcou,
  • Alexandre Varnek,
  • Catherine Champmartin

DOI
https://doi.org/10.1038/s41597-024-03026-4
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 14

Abstract

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Abstract The cutaneous absorption parameters of xenobiotics are crucial for the development of drugs and cosmetics, as well as for assessing environmental and occupational chemical risks. Despite the great variability in the design of experimental conditions due to uncertain international guidelines, datasets like HuskinDB have been created to report skin absorption endpoints. This review updates available skin permeability data by rigorously compiling research published between 2012 and 2021. Inclusion and exclusion criteria have been selected to build the most harmonized and reusable dataset possible. The Generative Topographic Mapping method was applied to the present dataset and compared to HuskinDB to monitor the progress in skin permeability research and locate chemotypes of particular concern. The open-source dataset (SkinPiX) includes steady-state flux, maximum flux, lag time and permeability coefficient results for the substances tested, as well as relevant information on experimental parameters that can impact the data. It can be used to extract subsets of data for comparisons and to build predictive models.