4.6 Article

Neuronal and Astrocytic Regulations in Schizophrenia: A Computational Modelling Study

期刊

FRONTIERS IN CELLULAR NEUROSCIENCE
卷 15, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fncel.2021.718459

关键词

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

资金

  1. Academy of Finland [314647, 326452]

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According to the tripartite synapse model, astrocytes play a modulatory role in neuronal signal transmission and dysfunction of astrocytes has been linked to psychiatric diseases such as schizophrenia. Various hypotheses have been proposed regarding the pathological mechanisms of astrocytes in schizophrenia, including altered glutamate transmission. However, there is still no consensus on the molecular pathways and network mechanisms altered in schizophrenia. Computational models have shown that impairment of both neurons and astrocytes disrupts neuronal network activity in schizophrenia.
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.

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