Modelling the effect of season, sex, and body size on the three-spined stickleback, Gasterosteus aculeatus, cellular innate immunomarkers: A proposition of laboratory reference ranges

Autor: Adrien Marchand, Cleo Tebby, Rémy Beaudouin, Cyril Turies, Anne Bado-Nilles, Younes Mohamed Ismail Hani, Jean-Marc Porcher
Přispěvatelé: Institut National de l'Environnement Industriel et des Risques (INERIS), Stress Environnementaux et BIOsurveillance des milieux aquatiques (SEBIO), Institut National de l'Environnement Industriel et des Risques (INERIS)-Université de Reims Champagne-Ardenne (URCA)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-SFR Condorcet, Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Université de Reims Champagne-Ardenne (URCA)-SFR Condorcet, Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Institut National de l'Environnement Industriel et des Risques (INERIS)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Male
Insecticides
Environmental Engineering
010504 meteorology & atmospheric sciences
Three-spined stickleback
FishInnate immunity
[SDE.MCG]Environmental Sciences/Global Changes
Zoology
Gasterosteus
010501 environmental sciences
Body size
Models
Biological

01 natural sciences
Sex Factors
FISH
Reference Values
Biomonitoring
Animals
Environmental Chemistry
Lack of knowledge
CONFOUNDING FACTORS
Waste Management and Disposal
0105 earth and related environmental sciences
Environmental risk assessment
Immunity
Cellular

Estradiol
biology
Confounding
Age Factors
Stickleback
MODELLING
Estrogens
biology.organism_classification
Pollution
Smegmamorpha
REFERENCE RANGES
[SDV.TOX]Life Sciences [q-bio]/Toxicology
INNATE IMMUNITY
Female
Chlorpyrifos
Seasons
[SDV.TOX.ECO]Life Sciences [q-bio]/Toxicology/Ecotoxicology
Biomarkers
Endosulfan
Water Pollutants
Chemical

Environmental Monitoring
Zdroj: Science of the Total Environment
Science of the Total Environment, Elsevier, 2018, 648, pp.337-349. ⟨10.1016/j.scitotenv.2018.07.381⟩
Science of the Total Environment, Elsevier, 2019, 648, pp.337-349. ⟨10.1016/j.scitotenv.2018.07.381⟩
Abstracts of the 9th International Conference on Stickleback Behaviour and Evolution (Stickleback 2018)
9 International Conference on Stickleback Behaviour and Evolution (STICKLEBACK 2018)
9 International Conference on Stickleback Behaviour and Evolution (STICKLEBACK 2018), Jul 2018, Kyoto, Japan
ISSN: 0048-9697
1879-1026
DOI: 10.1016/j.scitotenv.2018.07.381⟩
Popis: International audience; Innate immunomarkers reflect both environmental contamination and fish health status, providing useful information in environmental risk assessment studies. Nevertheless, the lack of knowledge about the effect of confounding factors can lead to data misinterpretation and false diagnoses. The aim of this study was to evaluate the impact of three confounding factors (season, sex and body size) on three-spined stickleback innate immunomarkers in laboratory conditions. Results shown strong seasonal variations in stickleback innate immunomarkers, with higher immune capacities in late winter-early spring and a disturbance during the spawning period in late spring-summer. Sex and body size had a season dependant effect on almost all tested immunomarkers. Reference ranges were established in laboratory-controlled conditions (i.e. laboratory reference ranges) and compared with data obtained from in vivo chemical expositions. The predictive power of the statistical model depended on the immunomarker, but the control data of the in vivo experiments, realized in same laboratory conditions, were globally well include in the laboratory reference ranges. Moreover, some statistical effects of the in vivo exposures were correlated with an augmentation of values outside the reference ranges, indicating a possible harmful effect for the organisms. As confounding factors influence is a major limit to integrate immunomarkers in biomonitoring programs, modelling their influence on studied parameter may help to better evaluated environmental contaminations.
Databáze: OpenAIRE