Show simple item record

dc.contributor.authorMacey, Brett M.  Concept link
dc.contributor.authorJenny, Matthew J.  Concept link
dc.contributor.authorWilliams, Heidi R.  Concept link
dc.contributor.authorThibodeaux, Lindy K.  Concept link
dc.contributor.authorBeal, Marion  Concept link
dc.contributor.authorAlmeida, Jonas S.  Concept link
dc.contributor.authorCunningham, Charles  Concept link
dc.contributor.authorMancia, Annalaura  Concept link
dc.contributor.authorWarr, Gregory W.  Concept link
dc.contributor.authorBurge, Erin J.  Concept link
dc.contributor.authorHolland, A. Fredrick  Concept link
dc.contributor.authorGross, Paul S.  Concept link
dc.contributor.authorHikima, Sonomi  Concept link
dc.contributor.authorBurnett, Karen G.  Concept link
dc.contributor.authorBurnett, Louis  Concept link
dc.contributor.authorChapman, Robert W.  Concept link
dc.date.accessioned2009-12-22T13:54:41Z
dc.date.available2009-12-22T13:54:41Z
dc.date.issued2009-11-12
dc.identifier.urihttps://hdl.handle.net/1912/3104
dc.descriptionAuthor Posting. © The Author(s), 2009. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Comparative Biochemistry and Physiology - Part A: Molecular & Integrative Physiology 155 (2010): 341-349, doi:10.1016/j.cbpa.2009.11.019.en_US
dc.description.abstractHeavy metals, such as copper, zinc and cadmium, represent some of the most common and serious pollutants in coastal estuaries. In the present study, we used a combination of linear and artificial neural network (ANN) modelling to detect and explore interactions among low-dose mixtures of these heavy metals and their impacts on fundamental physiological processes in tissues of the Eastern oyster, Crassostrea virginica. Animals were exposed to Cd (0.001 – 0.400 μM), Zn (0.001 – 3.059 μM) or Cu (0.002 – 0.787 μM), either alone or in combination for 1 to 27 days. We measured indicators of acid-base balance (hemolymph pH and total CO2), gas exchange (Po2), immunocompetence (total hemocyte counts, numbers of invasive bacteria), antioxidant status (glutathione, GSH), oxidative damage (lipid peroxidation; LPx), and metal accumulation in the gill and the hepatopancreas. Linear analysis showed that oxidative membrane damage from tissue accumulation of environmental metals was correlated with impaired acid-base balance in oysters. ANN analysis revealed interactions of metals with hemolymph acid-base chemistry in predicting oxidative damage that were not evident from linear analyses. These results highlight the usefulness of machine learning approaches, such as ANNs, for improving our ability to recognize and understand the effects of sub-acute exposure to contaminant mixtures.en_US
dc.description.sponsorshipThis study was supported by NOAA’s Center of Excellence in Oceans and Human Health at HML and the National Science Foundation.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.urihttps://doi.org/10.1016/j.cbpa.2009.11.019
dc.subjectHeavy metalsen_US
dc.subjectArtificial neural networksen_US
dc.subjectCrassostrea virginicaen_US
dc.subjectLipid peroxidationen_US
dc.subjectGlutathioneen_US
dc.subjectAcid-base balanceen_US
dc.subjectHemolymph PO2en_US
dc.titleModelling interactions of acid–base balance and respiratory status in the toxicity of metal mixtures in the American oyster Crassostrea virginicaen_US
dc.typePreprinten_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record