Pathogenic tau inhibits synaptic plasticity by blocking eIF4B-mediated local protein synthesis
Kauwe, G.; Lokitiyakul, D.; Wong, I. L.; Schneider, K.; Sridhar, V.; Sellegounder, D.; Ngwala, Y. Y.; Yao, L.; Chen, J. H.; Pareja-Navarro, K. A.; Nana, A. L.; Spina, S.; Seeley, W. W.; Grinberg, L. T.; Verdin, E.; Furman, D.; Karch, C. M.; Gan, L.; Tracy, T. E.
Show abstract
Activity-dependent modulation of synaptic strength is critical for encoding memories and it is inhibited in tauopathies including Alzheimers disease (AD) and Frontotemporal lobar degeneration with tau inclusions (FTLD-tau). Pathogenic tau accumulates in neurons where it obstructs synaptic plasticity. How tau blocks synaptic plasticity leading to memory loss is unclear. Here, we show that FTLD-tau inhibits plasticity by blocking activity-dependent protein synthesis in dendrites. In the plasticity-associated translatome, we identified a subset of downregulated translated mRNAs in FTLD-tau neurons that encode postsynaptic plasticity regulators. Protein synthesis was blocked by FTLD-tau binding to eIF4B which caused eIF4B dissociation from the translation initiation complex and reduced dendritic eIF4B levels. Inhibiting the tau-eIF4B interaction or enhancing eIF4B levels in FTLD-tau neurons restored local protein synthesis and synaptic plasticity. Together, this suggests that pathogenic tau binding to eIF4B disables the local synthesis of plasticity-related proteins that drive synapse strengthening and memory formation.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Interaction mapping of endoplasmic reticulum ubiquitin ligases identifies modulators of innate immune signalling 96%
- Growth Cone-Localized Microtubule Organizing Center Establishes Microtubule Orientation in Dendrites 96%
- Reorganization of postmitotic neuronal chromatin accessibility for maturation of serotonergic identity 96%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.