In vitro pharmacologic profiling aids systemic toxicity assessment of chemicals

An adapted in vitro pharmacology profiling panel (APPP) was developed that included targets used in the pharmaceutical industry alongside additional targets whose cellular functions have been linked to systemic toxicities. This panel of 83 target assays was used to profile the activities of 129 cosmetic relevant chemicals with diverse chemical structures, physiochemical properties and cosmetic use types. Internal data consistency was proved robust, as evidenced by the reproducibility between single concentration and concentration-response data and showed good concordance with data reported in the ToxCast and drug excipient datasets. We discuss how the data can be analyzed and multiple potential contexts of use illustrated by case studies, alongside other new approach methodologies, to support cosmetic chemical risk assessments that do not require data from new animal studies.

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Publication Details

Journal
Toxicology and Applied Pharmacology
Published
2024-10-20
DOI
https://doi.org/10.1016/j.taap.2024.117131
Citations
7
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
2.53
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article

In vitro pharmacologic profiling aids systemic toxicity assessment of chemicals

Matthew J. Burbank, Duncan Armstrong, Annie Otto‐Bruc, Nicola J. Hewitt et al.
7 citations
Toxicology and Applied Pharmacology
Computational Drug Discovery Methods
2.53
article

In vitro pharmacologic profiling aids systemic toxicity assessment of chemicals

Matthew J. Burbank, Duncan Armstrong, Annie Otto‐Bruc, Nicola J. Hewitt, J. Gerry Kenna, M. Boettcher, Predrag Kukić, Johanna Ebmeyer, Gladys Ouédraogo, Catherine Mahony, Ian Willox
article en
7 citations

Abstract

An adapted in vitro pharmacology profiling panel (APPP) was developed that included targets used in the pharmaceutical industry alongside additional targets whose cellular functions have been linked to systemic toxicities. This panel of 83 target assays was used to profile the activities of 129 cosmetic relevant chemicals with diverse chemical structures, physiochemical properties and cosmetic use types. Internal data consistency was proved robust, as evidenced by the reproducibility between single concentration and concentration-response data and showed good concordance with data reported in the ToxCast and drug excipient datasets. We discuss how the data can be analyzed and multiple potential contexts of use illustrated by case studies, alongside other new approach methodologies, to support cosmetic chemical risk assessments that do not require data from new animal studies.

Toxicology and Applied PharmacologyVol. 492
Beiersdorf (Germany) (DE), Unilever (United Kingdom) (GB), L'Oréal (France) (FR), University of Bedfordshire (GB), Procter & Gamble (United Kingdom) (GB), Cosmetics Europe (BE), Eurofins (France) (FR)
Good health and well-being
Openalex Percentile: Top 9%
Computational Drug Discovery Methods
2.53
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