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- W2051091502 abstract "The potential prognostic use of lysosomal reactions to environmental pollutants is explored in relation to predicting animal health in marine mussels, based on diagnostic biomarker data. Cellular lysosomes are already known to accumulate many metals and organic xenobiotics and the lysosomal accumulation of the carcinogenic polycyclic aromatic hydrocarbon 3-methylcholanthrene (3-MC) is demonstrated here in the hepatopancreatic digestive cells and ovarian oocytes of the blue mussel. Lysosomal membrane integrity or stability appears to be a generic indicator of cellular well-being in eukaryotes; and in bivalve molluscs it is correlated with total oxygen and nitrogen radical scavenging capacity (TOSC), protein synthesis, scope for growth and larval viability; and inversely correlated with DNA damage (micronuclei), as well as lysosomal swelling (volume density), lipidosis and lipofuscinosis, which are all characteristic of failed or incomplete autophagy. Integration of multiple biomarker data is achieved using multivariate statistics and then mapped onto “health status space” by using lysosomal membrane stability as a measure of cellular well-being. This is viewed as a crucial step towards the derivation of explanatory frameworks for prediction of pollutant impact on animal health; and has facilitated the development of a conceptual mechanistic model linking lysosomal damage and autophagic dysfunction with injury to cells, tissues and the whole animal. This model has also complemented the creation and use of a cell-based bioenergetic computational model of molluscan hepatopancreatic cells that simulates lysosomal and cellular reactions to pollutants. More speculatively, the use of coupled empirical measurements of biomarker reactions and modelling is proposed as a practical approach to the development of an operational toolbox for predicting the health of the environment." @default.
- W2051091502 created "2016-06-24" @default.
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- W2051091502 date "2006-04-01" @default.
- W2051091502 modified "2023-10-02" @default.
- W2051091502 title "Environmental prognostics: An integrated model supporting lysosomal stress responses as predictive biomarkers of animal health status" @default.
- W2051091502 cites W10640494 @default.
- W2051091502 cites W1538904872 @default.
- W2051091502 cites W1966949685 @default.
- W2051091502 cites W1968006306 @default.
- W2051091502 cites W1970401090 @default.
- W2051091502 cites W1971229870 @default.
- W2051091502 cites W1971407949 @default.
- W2051091502 cites W1973751291 @default.
- W2051091502 cites W1975332975 @default.
- W2051091502 cites W1977234647 @default.
- W2051091502 cites W1979117963 @default.
- W2051091502 cites W1980288642 @default.
- W2051091502 cites W1983433231 @default.
- W2051091502 cites W1984112171 @default.
- W2051091502 cites W1987481279 @default.
- W2051091502 cites W1987794385 @default.
- W2051091502 cites W1988268674 @default.
- W2051091502 cites W1990449494 @default.
- W2051091502 cites W1994250392 @default.
- W2051091502 cites W1996567488 @default.
- W2051091502 cites W2001043627 @default.
- W2051091502 cites W2002151323 @default.
- W2051091502 cites W2002195679 @default.
- W2051091502 cites W2002969430 @default.
- W2051091502 cites W2008676944 @default.
- W2051091502 cites W2009881305 @default.
- W2051091502 cites W2010789954 @default.
- W2051091502 cites W2011265703 @default.
- W2051091502 cites W2011622100 @default.
- W2051091502 cites W2014808107 @default.
- W2051091502 cites W2016097065 @default.
- W2051091502 cites W2016776629 @default.
- W2051091502 cites W2016984453 @default.
- W2051091502 cites W2018706727 @default.
- W2051091502 cites W2020469902 @default.
- W2051091502 cites W2025263397 @default.
- W2051091502 cites W2025904211 @default.
- W2051091502 cites W2026811570 @default.
- W2051091502 cites W2026899709 @default.
- W2051091502 cites W2027400330 @default.
- W2051091502 cites W2029917631 @default.
- W2051091502 cites W2030445955 @default.
- W2051091502 cites W2037166104 @default.
- W2051091502 cites W2037328198 @default.
- W2051091502 cites W2037744737 @default.
- W2051091502 cites W2038342056 @default.
- W2051091502 cites W2046074328 @default.
- W2051091502 cites W2049086035 @default.
- W2051091502 cites W2049492972 @default.
- W2051091502 cites W2050390330 @default.
- W2051091502 cites W2053456383 @default.
- W2051091502 cites W2054701044 @default.
- W2051091502 cites W2056377045 @default.
- W2051091502 cites W2058816754 @default.
- W2051091502 cites W2061044463 @default.
- W2051091502 cites W2063403801 @default.
- W2051091502 cites W2064180708 @default.
- W2051091502 cites W2065345845 @default.
- W2051091502 cites W2067189361 @default.
- W2051091502 cites W2076686872 @default.
- W2051091502 cites W2080299971 @default.
- W2051091502 cites W2080588862 @default.
- W2051091502 cites W2080630604 @default.
- W2051091502 cites W2086992292 @default.
- W2051091502 cites W2089773350 @default.
- W2051091502 cites W2089858841 @default.
- W2051091502 cites W2093998848 @default.
- W2051091502 cites W2094786703 @default.
- W2051091502 cites W2094999709 @default.
- W2051091502 cites W2108086395 @default.
- W2051091502 cites W2108104463 @default.
- W2051091502 cites W2128210146 @default.
- W2051091502 cites W2129610688 @default.
- W2051091502 cites W2129664378 @default.
- W2051091502 cites W2149206139 @default.
- W2051091502 cites W2149267775 @default.
- W2051091502 cites W2150999890 @default.
- W2051091502 cites W2151754882 @default.
- W2051091502 cites W2163480456 @default.
- W2051091502 cites W2163570079 @default.
- W2051091502 cites W2552408139 @default.
- W2051091502 cites W4232362205 @default.
- W2051091502 cites W4367337298 @default.
- W2051091502 cites W51511887 @default.
- W2051091502 cites W53443032 @default.
- W2051091502 doi "https://doi.org/10.1016/j.marenvres.2005.10.005" @default.
- W2051091502 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16343609" @default.
- W2051091502 hasPublicationYear "2006" @default.
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