In silico modelling of neuron signal impact of cytokine storm-induced demyelination

Autor: Geoflly L. Adonias, Harun Siljak, Sasitharan Balasubramaniam, Michael Taynnan Barros
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Open Biology, Vol 14, Iss 9 (2024)
Druh dokumentu: article
ISSN: 2046-2441
DOI: 10.1098/rsob.240138
Popis: In this study, we develop an in silico model of a neuron’s behaviour under demyelination caused by a cytokine storm to investigate the effects of viral infections in the brain. We use a comprehensive model to measure how cytokine-induced demyelination affects the propagation of action potential (AP) signals within a neuron. We analysed the effects of neuron-neuron communications by applying information and communication theory at different levels of demyelination. Our simulations demonstrate that virus-induced degeneration can play a role in the signal power and spiking rate, which compromise the propagation and processing of information between neurons. We propose a transfer function to model the weakening effects on the AP. Our results show that demyelination induced by a cytokine storm not only degrades the signal but also impairs its propagation within the axon. Our proposed in silico model can analyse virus-induced neurodegeneration and enhance our understanding of virus-induced demyelination.
Databáze: Directory of Open Access Journals