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Brockmeier, EK, Basili, D, Herbert, J, Rendal, C, Boakes, L, Grauslys, A, Taylor, NS, Danby, EB, Gutsell, S, Kanda, R, Cronin, MTD, Barclay, J, Antczak, P, Viant, MR, Hodges, G and Falciani, F (2022) Data-driven learning of narcosis mode of action identifies a CNS transcriptional signature shared between whole organism Caenorhabditis elegans and a fish gill cell line. Science of The Total Environment, 849. ISSN 0048-9697
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Data-driven learning of narcosis mode of action identifies a CNS transcriptional signature.pdf - Published Version Available under License Creative Commons Attribution. Download (3MB) | Preview |
Abstract
With the large numbers of man-made chemicals produced and released in the environment, there is a need to provide assessments on their potential effects on environmental safety and human health. Current regulatory frameworks rely on a mix of both hazard and risk-based approaches to make safety decisions, but the large number of chemicals in commerce combined with an increased need to conduct assessments in the absence of animal testing makes this increasingly challenging. This challenge is catalysing the use of more mechanistic knowledge in safety assessment from both in silico and in vitro approaches in the hope that this will increase confidence in being able to identify modes of action (MoA) for the chemicals in question. Here we approach this challenge by testing whether a functional genomics approach in C. elegans and in a fish cell line can identify molecular mechanisms underlying the effects of narcotics, and the effects of more specific acting toxicants. We show that narcosis affects the expression of neuronal genes associated with CNS function in C. elegans and in a fish cell line. Overall, we believe that our study provides an important step in developing mechanistically relevant biomarkers which can be used to screen for hazards, and which prevent the need for repeated animal or cross-species comparisons for each new chemical.
| Item Type: | Article |
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| Uncontrolled Keywords: | Environmental Sciences |
| Subjects: | R Medicine > RM Therapeutics. Pharmacology |
| Divisions: | Pharmacy & Biomolecular Sciences |
| Publisher: | Elsevier BV |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 29 Jul 2022 12:49 |
| Last Modified: | 12 Aug 2022 10:15 |
| DOI or ID number: | 10.1016/j.scitotenv.2022.157666 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/17301 |
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