Lysosomal and autophagic reactions as predictive indicators of environmental impact in aquatic animals.
The lysosomal-autophagic system appears to be a common target for many environmental pollutants as lysosomes accumulate many toxic metals and organic xenobiotics, which perturb normal function and damage the lysosomal membrane. In fact, lysosomal membrane integrity or stability appears to be an effective generic indicator of cellular well-being in eukaryotes: in bivalve molluscs and fish, stability is correlated with many toxicological responses and pathological reactions. Prognostic use of adverse lysosomal and autophagic reactions to environmental pollutants has been explored in relation to predicting cellular dysfunction and health in marine mussels, which are extensively used as sensitive bioindicators in monitoring ecosystem health. Derivation of explanatory frameworks for prediction of pollutant impact on health is a major goal; and we have developed a conceptual mechanistic model linking lysosomal damage and autophagic dysfunction with injury to cells and tissues. This model has also complemented the creation of a cell-based computational model for molluscan hepatopancreatic cells that simulates lysosomal, autophagic and other cellular reactions to pollutants. Experimental and simulated results have also indicated that nutritional deprivation-induced autophagy has a protective function against toxic effects mediated by reactive oxygen species (ROS). Finally, coupled measurement of lysosomal-autophagic reactions and modelling is proposed as a practical toolbox for predicting toxic environmental risk.
Moore
Michael N
MN
Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth, UK. mnm@pml.ac.uk
Allen
J Icarus
JI
McVeigh
Allan
A
Shaw
Jenny
J
D000818:Animals; D001343:Autophagy / Q000502:physiology*; D015415:Biomarkers; D049872:Bivalvia / Q000502:physiology; D003198:Computer Simulation; D004777:Environment; D004787:Environmental Pollution; D005399:Fishes / Q000502:physiology; D008247:Lysosomes / Q000502:physiology*; D008962:Models, Theoretical; D008974:Mollusca / Q000502:physiology
D015415:Biomarkers