Neuronal and Astrocytic Regulations in Schizophrenia: A Computational Modelling Study.

computational model computational psychiatry glutamate linear mixed effects models neuron-astrocyte network schizophrenia

Journal

Frontiers in cellular neuroscience
ISSN: 1662-5102
Titre abrégé: Front Cell Neurosci
Pays: Switzerland
ID NLM: 101477935

Informations de publication

Date de publication:
2021
Historique:
received: 31 05 2021
accepted: 26 07 2021
entrez: 13 9 2021
pubmed: 14 9 2021
medline: 14 9 2021
Statut: epublish

Résumé

According to the tripartite synapse model, astrocytes have a modulatory effect on neuronal signal transmission. More recently, astrocyte malfunction has been associated with psychiatric diseases such as schizophrenia. Several hypotheses have been proposed on the pathological mechanisms of astrocytes in schizophrenia. For example, post-mortem examinations have revealed a reduced astrocytic density in patients with schizophrenia. Another hypothesis suggests that disease symptoms are linked to an abnormality of glutamate transmission, which is also regulated by astrocytes (glutamate hypothesis of schizophrenia). Electrophysiological findings indicate a dispute over whether the disorder causes an increase or a decrease in neuronal and astrocytic activity. Moreover, there is no consensus as to which molecular pathways and network mechanisms are altered in schizophrenia. Computational models can aid the process in finding the underlying pathological malfunctions. The effect of astrocytes on the activity of neuron-astrocyte networks has been analysed with computational models. These can reproduce experimentally observed phenomena, such as astrocytic modulation of spike and burst signalling in neuron-astrocyte networks. Using an established computational neuron-astrocyte network model, we simulate experimental data of healthy and pathological networks by using different neuronal and astrocytic parameter configurations. In our simulations, the reduction of neuronal or astrocytic cell densities yields decreased glutamate levels and a statistically significant reduction in the network activity. Amplifications of the astrocytic ATP release toward postsynaptic terminals also reduced the network activity and resulted in temporarily increased glutamate levels. In contrast, reducing either the glutamate release or re-uptake in astrocytes resulted in higher network activities. Similarly, an increase in synaptic weights of excitatory or inhibitory neurons raises the excitability of individual cells and elevates the activation level of the network. To conclude, our simulations suggest that the impairment of both neurons and astrocytes disturbs the neuronal network activity in schizophrenia.

Identifiants

pubmed: 34512269
doi: 10.3389/fncel.2021.718459
pmc: PMC8428975
doi:

Types de publication

Journal Article

Langues

eng

Pagination

718459

Informations de copyright

Copyright © 2021 Fritschi, Lindmar, Scheidl and Lenk.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Lea Fritschi (L)

Department of Mathematics, ETH Zurich, Zurich, Switzerland.

Johanna Hedlund Lindmar (JH)

Institute of Neuroinformatics, University of Zurich, ETH Zurich, Zurich, Switzerland.

Florian Scheidl (F)

Department of Computer Science, ETH Zurich, Zurich, Switzerland.

Kerstin Lenk (K)

Computational Biophysics and Imaging Group (CBIG), Faculty of Medicine and Health Technology, BioMediTech, Tampere University, Tampere, Finland.
Institute of Neural Engineering, Graz University of Technology, Graz, Austria.

Classifications MeSH