Alzheimer risk-increasing TREM2 variant causes aberrant cortical synapse density and promotes network hyperexcitability in mouse models
- PMID: 37591465
- PMCID: PMC10681293
- DOI: 10.1016/j.nbd.2023.106263
Alzheimer risk-increasing TREM2 variant causes aberrant cortical synapse density and promotes network hyperexcitability in mouse models
Abstract
The R47H variant of triggering receptor expressed on myeloid cells 2 (TREM2) increases the risk of Alzheimer's disease (AD). To investigate potential mechanisms, we analyzed knockin mice expressing human TREM2-R47H from one mutant mouse Trem2 allele. TREM2-R47H mice showed increased seizure activity in response to an acute excitotoxin challenge, compared to wildtype controls or knockin mice expressing the common variant of human TREM2. TREM2-R47H also increased spontaneous thalamocortical epileptiform activity in App knockin mice expressing amyloid precursor proteins bearing autosomal dominant AD mutations and a humanized amyloid-β sequence. In mice with or without such App modifications, TREM2-R47H increased the density of putative synapses in cortical regions without amyloid plaques. TREM2-R47H did not affect synaptic density in hippocampal regions with or without plaques. We conclude that TREM2-R47H increases AD-related network hyperexcitability and that it may do so, at least in part, by causing an imbalance in synaptic densities across brain regions.
Keywords: Alzheimer's disease; Amyloid precursor protein; EEG; Epilepsy; Glia; Hyperexcitability; Microglia; Network dysfunction; Synapses; TREM2.
Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Interests
None.
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References
-
- Akaike H (1974). A new look at the statistical model identification. IEEE Trans. Autom. Control, 19, 716–723. doi: 10.1109/TAC.1974.1100705. - DOI
-
- Baddeley A, Rubak E & Turner R 2015. Spatial point patterns: methodology and applications with R, New York, CRC press.
-
- Bates D, Mächler M, Bolker B & Walker S (2015). Fitting linear mixed-effects models using lme4. J. Stat. Softw, 67, 1–48. doi: 10.18637/jss.v067.i01. - DOI
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