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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

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 decis...

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Published in:The Science of the total environment 2022-11, Vol.849, p.157666-157666, Article 157666
Main Authors: Brockmeier, Erica K., Basili, Danilo, Herbert, John, Rendal, Cecilie, Boakes, Leigh, Grauslys, Arturas, Taylor, Nadine S., Danby, Emma Butler, Gutsell, Steve, Kanda, Rakesh, Cronin, Mark, Barclay, Jeff, Antczak, Philipp, Viant, Mark R., Hodges, Geoff, Falciani, Francesco
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container_title The Science of the total environment
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creator Brockmeier, Erica K.
Basili, Danilo
Herbert, John
Rendal, Cecilie
Boakes, Leigh
Grauslys, Arturas
Taylor, Nadine S.
Danby, Emma Butler
Gutsell, Steve
Kanda, Rakesh
Cronin, Mark
Barclay, Jeff
Antczak, Philipp
Viant, Mark R.
Hodges, Geoff
Falciani, Francesco
description 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. [Display omitted] •Developed an integrative approach for identifying membrane proteins potentially linked to narcosis mode of action (MoA).•Exposure to Narcotics affects a set of genes with a function in CNS in C elegans and in a Gill cell line.•Exposure to Narcotics protects from the effects of drugs/chemicals that induce hyperactivation of Acetylcholine signalling•Gene/metabolite statistical models discriminate narcosis-based from target-specific inhibition of acetylcholine signaling.
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subjects Bioinformatics
Biomarkers
Cross-species analysis
Mode of action
Narcosis
Omics
title 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
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