Literature DB >> 23291788

Dynamic energy budget approach to modeling mechanisms of CdSe quantum dot toxicity.

Tin Klanjscek1, Roger M Nisbet, John H Priester, Patricia A Holden.   

Abstract

A mechanistic model of bacterial growth based on dynamic energy budget (DEB) theory is utilized to investigate mechanisms of toxicity of CdSe quantum dots (QDs). The model of QD toxicity is developed by extending a previously published DEB model of cadmium ion toxicity to include a separate model of QD toxic action. The extension allows for testing whether toxicity from QD exposure can be explained fully by dissolved cadmium exposure only, or if the separate effects of QDs need to be taken into account as well. Two major classes of QD toxicity mechanisms are considered: acclimation expressed through initial retardation of growth, and three separate metabolic effects that can be a result of QDs either reversibly or irreversibly associating with the cell. The model is consistent with the data, and is able to distinguish toxic effects due to QD nano-particles from the effects due to cadmium ions. Results suggest that, in contrast to ionic exposure where required acclimation remains constant as exposure increases, increase of the energy required for acclimation with exposure is the primary toxic effect of QDs. Reactive oxygen species measurements help conclude that increase in energetic cost of maintenance processes such as cellular repair and maintenance of cross-membrane gradients is the most important of the three metabolic effects of QD toxicity.

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Year:  2013        PMID: 23291788     DOI: 10.1007/s10646-012-1028-7

Source DB:  PubMed          Journal:  Ecotoxicology        ISSN: 0963-9292            Impact factor:   2.823


  16 in total

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2.  Global gene expression responses to cadmium toxicity in Escherichia coli.

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Review 4.  From empirical patterns to theory: a formal metabolic theory of life.

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Authors:  Arturo A Keller; Hongtao Wang; Dongxu Zhou; Hunter S Lenihan; Gary Cherr; Bradley J Cardinale; Robert Miller; Zhaoxia Ji
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6.  Use of microcalorimetry to determine the costs and benefits to Pseudomonas putida strain KT2440 of harboring cadmium efflux genes.

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7.  The cadmium-stress stimulon of Escherichia coli K-12.

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Review 8.  A dynamic approach to predicting bacterial growth in food.

Authors:  J Baranyi; T A Roberts
Journal:  Int J Food Microbiol       Date:  1994-11       Impact factor: 5.277

9.  Effects of soluble cadmium salts versus CdSe quantum dots on the growth of planktonic Pseudomonas aeruginosa.

Authors:  John H Priester; Peter K Stoimenov; Randall E Mielke; Samuel M Webb; Christopher Ehrhardt; Jin Ping Zhang; Galen D Stucky; Patricia A Holden
Journal:  Environ Sci Technol       Date:  2009-04-01       Impact factor: 9.028

10.  Modeling physiological processes that relate toxicant exposure and bacterial population dynamics.

Authors:  Tin Klanjscek; Roger M Nisbet; John H Priester; Patricia A Holden
Journal:  PLoS One       Date:  2012-02-06       Impact factor: 3.240

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2.  NanoE-Tox: New and in-depth database concerning ecotoxicity of nanomaterials.

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Review 3.  The Role of Omics in the Application of Adverse Outcome Pathways for Chemical Risk Assessment.

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Journal:  Toxicol Sci       Date:  2017-08-01       Impact factor: 4.849

4.  A new analysis method for evaluating bacterial growth with microplate readers.

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Review 5.  The pros and cons of ecological risk assessment based on data from different levels of biological organization.

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  5 in total

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