New insights into organ-specific oxidative stress mechanisms using a novel biosensor zebrafish
dc.contributor.author | Mourabit, S | |
dc.contributor.author | Fitzgerald, JA | |
dc.contributor.author | Ellis, RP | |
dc.contributor.author | Takesono, A | |
dc.contributor.author | Porteus, CS | |
dc.contributor.author | Trznadel, M | |
dc.contributor.author | Metz, J | |
dc.contributor.author | Winter, MJ | |
dc.contributor.author | Kudoh, T | |
dc.contributor.author | Tyler, CR | |
dc.date.accessioned | 2019-11-26T08:20:56Z | |
dc.date.issued | 2019-10-20 | |
dc.description.abstract | Background: Reactive oxygen species (ROS) arise as a result from, and are essential in, numerous cellular processes. ROS, however, are highly reactive and if left unneutralised by endogenous antioxidant systems, can result in extensive cellular damage and/or pathogenesis. In addition, exposure to a wide range of environmental stressors can also result in surplus ROS production leading to oxidative stress (OS) and downstream tissue toxicity. Objectives: Our aim was to produce a stable transgenic zebrafish line, unrestricted by tissue-specific gene regulation, which was capable of providing a whole organismal, real-time read-out of tissue-specific OS following exposure to a wide range of OS-inducing environmental contaminants and conditions. This model could, therefore, serve as a sensitive and specific mechanistic in vivo biomarker for all environmental conditions that result in OS. Methods: To achieve this aim, we exploited the pivotal role of the electrophile response element (EpRE) as a globally-acting master regulator of the cellular response to OS. To test tissue specificity and quantitative capacity, we selected a range of chemical contaminants known to induce OS in specific organs or tissues, and assessed dose-responsiveness in each using microscopic measures of mCherry fluorescence intensity. Results: We produced the first stable transgenic zebrafish line Tg (3EpRE:hsp70:mCherry) with high sensitivity for the detection of cellular RedOx imbalances, in vivo in near-real time. We applied this new model to quantify OS after exposure to a range of environmental conditions with high resolution and provided quantification both of compound- and tissue-specific ROS-induced toxicity. Discussion: Our model has an extremely diverse range of potential applications not only for biomonitoring of toxicants in aqueous environments, but also in biomedicine for identifying ROS-mediated mechanisms involved in the progression of a number of important human diseases, including cancer. | en_GB |
dc.description.sponsorship | Natural Environmental Research Council | en_GB |
dc.description.sponsorship | European Union | en_GB |
dc.identifier.citation | Vol. 133, Part A, 105138 | en_GB |
dc.identifier.doi | 10.1016/j.envint.2019.105138 | |
dc.identifier.grantnumber | NE/L007371/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/39789 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2019 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/). | en_GB |
dc.subject | Oxidative stress | en_GB |
dc.subject | Zebrafish | en_GB |
dc.subject | Toxicants | en_GB |
dc.subject | Biosensor | en_GB |
dc.title | New insights into organ-specific oxidative stress mechanisms using a novel biosensor zebrafish | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-11-26T08:20:56Z | |
dc.identifier.issn | 0160-4120 | |
dc.description | This is the final version. Available from Elsevier via the DOI in this record. | en_GB |
dc.identifier.journal | Environment International | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dcterms.dateAccepted | 2019-08-27 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-10-20 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-11-26T08:17:24Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-11-26T08:20:59Z | |
refterms.panel | A | en_GB |
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Except where otherwise noted, this item's licence is described as © 2019 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
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