Literature DB >> 34459931

Safety assessment of cosmetics by read across applied to metabolomics data of in vitro skin and liver models.

Carine Jacques1, Emilien L Jamin2,3, Isabelle Jouanin2,3, Cécile Canlet2,3, Marie Tremblay-Franco2,3, Jean-François Martin2,3, Daniel Zalko3, Yves Brunel4, Sandrine Bessou-Touya4, Laurent Debrauwer2,3, Pierre-Jacques Ferret4, Hélène Duplan4.   

Abstract

As a result of the cosmetics testing ban, safety evaluations of cosmetics ingredients must now be conducted using animal-free methods. A common approach is read across, which is mainly based on structural similarities but can also be conducted using biological endpoints. Here, metabolomics was used to assess biological effects to enable a read across between a candidate cosmetic ingredient, DIV665, only studied using in vitro assays, and a structurally similar reference compound, PA102, previously investigated using traditional in vivo toxicity methods. The (1) cutaneous distribution after topical application, (2) skin metabolism, (3) liver metabolism and (4) effect on the intracellular metabolomic profiles of in vitro skin and hepatic models, SkinEthic®RHE model and HepaRG® cells were investigated. The compounds exhibited similar skin penetration and skin and liver metabolism, with small differences attributed to their physicochemical properties. The effects of both compounds on the metabolome of RHE and HepaRG® cells were similarly small, both in terms of the metabolites modulated and the magnitude of changes. The patterns of metabolome changes did not fit with any known signature relating to a mode of action known to be linked to liver toxicity e.g. modification of the Krebs cycle, urea synthesis and lipid metabolism, were more reflective of transient adaptive responses. Overall, these studies indicate that PA102 is biologically similar to DIV665, allowing read across of safety endpoints, such as in vivo sub-chronic (but not reproduction toxicity) studies, for the former to be applied to DIV665. Based on this, in the absence of animal data (which is prohibited for new chemicals), it could be concluded that DIV665 applied according to the consumer topical use scenario, is similar to PA102, and is predicted to exhibit low local skin and systemic toxicity.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Metabolomics; Read-across; Skin metabolism; Skin model

Mesh:

Substances:

Year:  2021        PMID: 34459931     DOI: 10.1007/s00204-021-03136-7

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   5.153


  34 in total

1.  The Phenion full-thickness skin model for percutaneous absorption testing.

Authors:  K Ackermann; S Lombardi Borgia; H C Korting; K R Mewes; M Schäfer-Korting
Journal:  Skin Pharmacol Physiol       Date:  2009-12-14       Impact factor: 3.479

Review 2.  In vitro assessment of hepatotoxicity by metabolomics: a review.

Authors:  Matthias Cuykx; Robim M Rodrigues; Kris Laukens; Tamara Vanhaecke; Adrian Covaci
Journal:  Arch Toxicol       Date:  2018-08-25       Impact factor: 5.153

Review 3.  The agony and ecstasy of "OMIC" technologies in drug development.

Authors:  John A Bilello
Journal:  Curr Mol Med       Date:  2005-02       Impact factor: 2.222

4.  Metabolomics profiling of steatosis progression in HepaRG® cells using sodium valproate.

Authors:  Matthias Cuykx; Leen Claes; Robim M Rodrigues; Tamara Vanhaecke; Adrian Covaci
Journal:  Toxicol Lett       Date:  2018-01-31       Impact factor: 4.372

5.  Stable expression, activity, and inducibility of cytochromes P450 in differentiated HepaRG cells.

Authors:  Sébastien Anthérieu; Christophe Chesné; Ruoya Li; Sandrine Camus; Agustin Lahoz; Laura Picazo; Miia Turpeinen; Ari Tolonen; Jouko Uusitalo; Christiane Guguen-Guillouzo; André Guillouzo
Journal:  Drug Metab Dispos       Date:  2009-12-17       Impact factor: 3.922

6.  Metabolomics-on-a-chip of hepatotoxicity induced by anticancer drug flutamide and Its active metabolite hydroxyflutamide using HepG2/C3a microfluidic biochips.

Authors:  Leila Choucha Snouber; Andrei Bunescu; Marie Naudot; Cécile Legallais; Céline Brochot; Marc Emmanuel Dumas; Bénédicte Elena-Herrmann; Eric Leclerc
Journal:  Toxicol Sci       Date:  2012-07-27       Impact factor: 4.849

7.  MetExplore: a web server to link metabolomic experiments and genome-scale metabolic networks.

Authors:  Ludovic Cottret; David Wildridge; Florence Vinson; Michael P Barrett; Hubert Charles; Marie-France Sagot; Fabien Jourdan
Journal:  Nucleic Acids Res       Date:  2010-05-05       Impact factor: 16.971

Review 8.  Review: toxicometabolomics.

Authors:  Mounir Bouhifd; Thomas Hartung; Helena T Hogberg; Andre Kleensang; Liang Zhao
Journal:  J Appl Toxicol       Date:  2013-05-30       Impact factor: 3.446

Review 9.  The HepaRG cell line: a unique in vitro tool for understanding drug metabolism and toxicology in human.

Authors:  Tommy B Andersson; Kajsa P Kanebratt; John Gerry Kenna
Journal:  Expert Opin Drug Metab Toxicol       Date:  2012-05-08       Impact factor: 4.481

10.  Predictive Value of Procalcitonin for Bacterial Infection after Transarterial Chemoembolization or Radiofrequency Ablation for Hepatocellular Carcinoma.

Authors:  Seung Ji Kang; Uh Jin Kim; Seong Eun Kim; Joon Hwan An; Mi Ok Jang; Dae-Seong Myung; Kyung-Hwa Park; Sook-In Jung; Sung Bum Cho; Hee-Chang Jang; Young Eun Joo
Journal:  Dis Markers       Date:  2018-04-17       Impact factor: 3.434

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  1 in total

Review 1.  Current Knowledge in Skin Metabolomics: Updates from Literature Review.

Authors:  Alessia Paganelli; Valeria Righi; Elisabetta Tarentini; Cristina Magnoni
Journal:  Int J Mol Sci       Date:  2022-08-07       Impact factor: 6.208

  1 in total

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