Utilize este identificador para referenciar este registo: https://hdl.handle.net/10216/120531
Autor(es): 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.
Título: Multibiomarker interactions to diagnose and follow-up chronic exposure of a marine crustacean to Hazardous and Noxious Substances (HNS)
Editor: Elsevier
Data de publicação: 2018
Resumo: 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
Assunto: 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
Fonte: Environmental Pollution, vol. 242, p. 1137-1145
Informação Relacionada: info:eu-repo/grantAgreement/FCT/5876/147268/PT
Tipo de Documento: Artigo em Revista Científica Internacional
Condições de Acesso: restrictedAccess
Aparece nas coleções:CIIMAR - Artigo em Revista Científica Internacional

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