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https://hdl.handle.net/10216/120531Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Abreu I.O. | |
| dc.creator | Monteiro C. | |
| dc.creator | Rocha A.C.S. | |
| dc.creator | Reis-Henriques M.A. | |
| dc.creator | Teixeira C. | |
| dc.creator | Basto M.C.P. | |
| dc.creator | Ferreira M. | |
| dc.creator | Almeida C.M.R. | |
| dc.creator | Oliva-Teles L. | |
| dc.creator | Guimarães L. | |
| dc.date.accessioned | 2019-05-31T16:16:49Z | - |
| dc.date.available | 2019-05-31T16:16:49Z | - |
| dc.date.issued | 2018 | |
| dc.identifier.issn | 02697491, 18736424 | |
| dc.identifier.uri | https://hdl.handle.net/10216/120531 | - |
| dc.description.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 | |
| dc.description.sponsorship | This article is a result of INNOVMAR - Innovation and Sustainability in the Management and Exploitation of Marine Resources (reference NORTE-01-0145-FEDER-000035), ECOSERVICES, supported by NORTE2020, PORTUGAL2020 Partnership Agreement, through ERDF . This work was partially funded by Strategic Funding UID/Multi/04423/2013 through FCT and ERDF . | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier | |
| dc.relation | info:eu-repo/grantAgreement/FCT/5876/147268/PT | |
| dc.relation.ispartof | Environmental Pollution, vol. 242, p. 1137-1145 | |
| dc.rights | restrictedAccess | |
| dc.subject | Aniline | |
| dc.subject | Biomarkers | |
| dc.subject | Birds | |
| dc.subject | Detoxification | |
| dc.subject | Hazards | |
| dc.subject | Multivariant analysis | |
| dc.subject | Physiology | |
| dc.subject | Risk assessment | |
| dc.subject | Acrylonitrile | |
| dc.subject | Biochemical parameters | |
| dc.subject | Carcinus maenas | |
| dc.subject | Energy productions | |
| dc.subject | Hazard evaluation | |
| dc.subject | Investigate effects | |
| dc.subject | Multi variate analysis | |
| dc.subject | Physiological systems | |
| dc.subject | Physiological models | |
| dc.subject | toxic gas | |
| dc.subject | biological marker | |
| dc.subject | biomarker | |
| dc.subject | crustacean | |
| dc.subject | hazardous waste | |
| dc.subject | homeostasis | |
| dc.subject | oxidative stress | |
| dc.subject | physiological response | |
| dc.subject | pollution effect | |
| dc.subject | pollution exposure | |
| dc.subject | toxic substance | |
| dc.subject | toxicity | |
| dc.subject | adult | |
| dc.subject | Article | |
| dc.subject | bioaccumulation | |
| dc.subject | biochemical analysis | |
| dc.subject | biotransformation | |
| dc.subject | Carcinus maenas | |
| dc.subject | chronic toxicity | |
| dc.subject | controlled study | |
| dc.subject | dangerous goods | |
| dc.subject | detoxification | |
| dc.subject | energy metabolism | |
| dc.subject | energy yield | |
| dc.subject | hazard assessment | |
| dc.subject | headspace solid phase microextraction | |
| dc.subject | lipid peroxidation | |
| dc.subject | long term exposure | |
| dc.subject | male | |
| dc.subject | neurotoxicity | |
| dc.subject | neurotransmission | |
| dc.subject | nonhuman | |
| dc.subject | analysis | |
| dc.subject | animal | |
| dc.subject | Brachyura | |
| dc.subject | dangerous goods | |
| dc.subject | follow up | |
| dc.subject | metabolism | |
| dc.subject | physiology | |
| dc.subject | sea food | |
| dc.subject | toxicity | |
| dc.subject | water pollutant | |
| dc.subject | Carcinus maenas | |
| dc.subject | Crustacea | |
| dc.subject | Decapoda (Crustacea) | |
| dc.subject | Animals | |
| dc.subject | Biomarkers | |
| dc.subject | Biotransformation | |
| dc.subject | Brachyura | |
| dc.subject | Follow-Up Studies | |
| dc.subject | Hazardous Substances | |
| dc.subject | Seafood | |
| dc.subject | Water Pollutants, Chemical | |
| dc.title | Multibiomarker interactions to diagnose and follow-up chronic exposure of a marine crustacean to Hazardous and Noxious Substances (HNS) | |
| dc.type | Artigo em Revista Científica Internacional | |
| dc.contributor.uporto | CIIMAR - Centro Interdisciplinar de Investigação Marinha e Ambiental | |
| dc.identifier.doi | 10.1016/j.envpol.2018.07.106 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/j.envpol.2018.07.106 | |
| Appears in Collections: | CIIMAR - Artigo em Revista Científica Internacional | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Abreu IO_2_2018.pdf Restricted Access | 1.22 MB | Adobe PDF | View/Open |
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