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rdf:type
lifeskim:mentions
pubmed:dateCreated
2010-11-24
pubmed:abstractText
Engineered nanoparticles (NPs) offer great application potential in various fields, for example the chemical industry, energy management or medical sciences. Nanoparticles are increasingly being incorporated into daily products. But what happens, if living organisms are exposed to those NPs? Their ability to move seemingly barrier-free in organic tissue could be both beneficial and harmful. Even though research concerning nanotoxicity has already begun, there are still many open questions to be addressed. In this report, we propose a computational model applying the steady-state Hodgkin-Huxley-equations and the Differential Evolution Algorithm for fitting the model to the data of patch-clamp measurements carried out by our group: Coated silvernanoparticles (Ag-Nano) in different concentrations were applied to single chromaffin cells while measuring the ionic currents in the whole-cell configuration. Compared to controls, significant differences in sodium-currents were observed after the application of NPs. Using the computational model, we could evaluate the parameters which model the change in behavior of neuronal cells due to the addition of Ag-Nano. This can ultimately give insight to underlying mechanisms. An integration to model the dynamic behavior of neuronal networks exposed to NP is easily conceivable using this technique.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
2010
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3816-9
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Modeling the effects of nanoparticles on neuronal cells: from ionic channels to network dynamics.
pubmed:affiliation
Computational Diagnostics and Biocybernetics Unit at Saarland University Hospital and Saarland University of Applied Sciences, Homburg/Saarbruecken, Germany. busse@cdb-unit.de
pubmed:publicationType
Journal Article