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 |
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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 |
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