Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/120531
Author(s): | Abreu I.O. Monteiro C. Rocha A.C.S. Reis-Henriques M.A. Teixeira C. Basto M.C.P. Ferreira M. Almeida C.M.R. Oliva-Teles L. Guimarães L. |
Title: | Multibiomarker interactions to diagnose and follow-up chronic exposure of a marine crustacean to Hazardous and Noxious Substances (HNS) |
Publisher: | Elsevier |
Issue Date: | 2018 |
Abstract: | Integrated compensatory responses of physiological systems towards homeostasis are generally overlooked when it comes to analysing alterations in biochemical parameters indicative of such processes. Here an hypothesis-driven multivariate analysis accounting for interactive multibiomarker responses was used to investigate effects of long-term exposure of Carcinus maenas to Hazardous and Noxious Substances (HNS). Adult male crabs were exposed to low and high post-spill levels of acrylonitrile (ACN) or aniline (ANL) for 21d. Bioaccumulation, feeding behaviour, and biomarkers related to mode-of-action (MoA) (detoxification, neurotransmission and energy production) were evaluated over time. Distinct temporal patterns of response to low and high exposure concentrations were depicted, with a main set of interactive multibiomarker predictors identified for each HNS (five for ACN and three for ANL), useful to follow coupled evolvement of biomarker responses. ACN caused peripheral neurotoxic effects coupled with enhanced biotransformation and significant oxidative damage particularly relevant in gills. ANL elicited alterations in central neurotransmission affecting ventilation coupled with very low levels of oxidative damage in gills. Results indicate chronic toxicity data are determinant to improve HNS hazard assessment if the aim is to obtain reliable risk calculations, and develop effective predictive models avoiding overestimation but sufficiently protective. Accounting for multibiomarker interactions brought otherwise overlooked information about C. maenas responses and MoA of ACN and ANL. Accounting for biomarker interactions drastically improves the quality of the model to diagnose toxic effects. © 2018 Elsevier |
Subject: | Aniline Biomarkers Birds Detoxification Hazards Multivariant analysis Physiology Risk assessment Acrylonitrile Biochemical parameters Carcinus maenas Energy productions Hazard evaluation Investigate effects Multi variate analysis Physiological systems Physiological models toxic gas biological marker biomarker crustacean hazardous waste homeostasis oxidative stress physiological response pollution effect pollution exposure toxic substance toxicity adult Article bioaccumulation biochemical analysis biotransformation Carcinus maenas chronic toxicity controlled study dangerous goods detoxification energy metabolism energy yield hazard assessment headspace solid phase microextraction lipid peroxidation long term exposure male neurotoxicity neurotransmission nonhuman analysis animal Brachyura dangerous goods follow up metabolism physiology sea food toxicity water pollutant Carcinus maenas Crustacea Decapoda (Crustacea) Animals Biomarkers Biotransformation Brachyura Follow-Up Studies Hazardous Substances Seafood Water Pollutants, Chemical |
URI: | https://hdl.handle.net/10216/120531 |
Source: | Environmental Pollution, vol. 242, p. 1137-1145 |
Related Information: | info:eu-repo/grantAgreement/FCT/5876/147268/PT |
Document Type: | Artigo em Revista Científica Internacional |
Rights: | restrictedAccess |
Appears in Collections: | CIIMAR - Artigo em Revista Científica Internacional |
Files in This Item:
File | Description | Size | Format | |
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Abreu IO_2_2018.pdf Restricted Access | 1.22 MB | Adobe PDF | Request a copy |
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