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Genetic mechanisms for impaired synaptic plasticity in schizophrenia revealed by computational modeling.

Authors :
Mäki-Marttunen, Tuomo
Blackwell, Kim T.
Akkouh, Ibrahim
Shadrin, Alexey
Valstad, Mathias
Elvsåshagen, Torbjørn
Linne, Marja-Leena
Djurovic, Srdjan
Einevoll, Gaute T.
Andreassen, Ole A.
Source :
Proceedings of the National Academy of Sciences of the United States of America; 8/20/2024, Vol. 121 Issue 34, p1-12, 40p
Publication Year :
2024

Abstract

Schizophrenia phenotypes are suggestive of impaired cortical plasticity in the disease, but the mechanisms of these deficits are unknown. Genomic association studies have implicated a large number of genes that regulate neuromodulation and plasticity, indicating that the plasticity deficits have a genetic origin. Here, we used biochemically detailed computational modeling of postsynaptic plasticity to investigate how schizophrenia-associated genes regulate long-term potentiation (LTP) and depression (LTD). We combined our model with data from postmortem RNA expression studies (CommonMind gene-expression datasets) to assess the consequences of altered expression of plasticity-regulating genes for the amplitude of LTP and LTD. Our results show that the expression alterations observed post mortem, especially those in the anterior cingulate cortex, lead to impaired protein kinase A (PKA)-pathwaymediated LTP in synapses containing GluR1 receptors. We validated these findings using a genotyped electroencephalogram (EEG) dataset where polygenic risk scores for synaptic and ion channel-encoding genes as well as modulation of visual evoked potentials were determined for 286 healthy controls. Our results provide a possible genetic mechanism for plasticity impairments in schizophrenia, which can lead to improved understanding and, ultimately, treatment of the disorder. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
121
Issue :
34
Database :
Complementary Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
179162677
Full Text :
https://doi.org/10.1073/pnas.2312511121