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Estimating the modulatory effects of nanoparticles on neuronal circuits using computational upscaling

  • Background: Beside the promising application potential of nanotechnologies in engineering, the use of nanomaterials in medicine is growing. New therapies employing innovative nanocarrier systems to increase specificity and efficacy of drug delivery schemes are already in clinical trials. However the influence of the nanoparticles themselves is still unknown in medical applications, especially for complex interactions in neural systems. The aim of this study was to investigate in vitro effects of coated silver nanoparticles (cAgNP) on the excitability of single neuronal cells and to integrate those findings into an in silico model to predict possible effects on neuronal circuits. Methods: We first performed patch clamp measurements to investigate the effects of nanosized silver particles, surrounded by an organic coating, on excitability of single cells. We then determined which parameters were altered by exposure to those nanoparticles using the Hodgkin-Huxley model of the sodium current. As a third step, we integrated those findings into a well-defined neuronal circuit of thalamocortical interactions to predict possible changes in network signaling due to the applied cAgNP, in silico. Results: We observed rapid suppression of sodium currents after exposure to cAgNP in our in vitro recordings. In numerical simulations of sodium currents we identified the parameters likely affected by cAgNP. We then examined the effects of such changes on the activity of networks. In silico network modeling indicated effects of local cAgNP application on firing patterns in all neurons in the circuit. Conclusion: Our sodium current simulation shows that suppression of sodium currents by cAgNP results primarily by a reduction in the amplitude of the current. The network simulation shows that locally cAgNP-induced changes result in changes in network activity in the entire network, indicating that local application of cAgNP may influence the activity throughout the network.

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Metadaten
Document Type:Article
Author:Michael Busse, David Stevens, Annette KraegelohORCiD, Christian Cavelius, Mathias Vukelic, Eduard ArztORCiD, Daniel J. Strauss
URN:urn:nbn:de:bsz:291:415-2992
DOI:https://doi.org/10.2147/IJN.S43663
ISSN:1178-2013
Parent Title (English):International Journal of Nanomedicine
Volume:8
Issue:1
First Page:3559
Last Page:3572
Language:English
Year of first Publication:2013
Release Date:2022/11/18
Tag:Llinás model; coated silver nanoparticles; modeling; nanocarriers; neuromodulatory effect; neuronal circuit model; nonviral vectors; patch clamp recordings
Impact:04.195 (2013)
Research Groups:Nano Cell Interactions
Open Access:Open Access
Signature:INM 2013/81
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International