β-Amyloid impairs Proteasome structure and function. Proteasome activation mitigates amyloid induced toxicity and cognitive deficits
Davidson, K.; Bano, M.; Parker, D.; Osmulski, P.; Gaczynska, M.; Pickering, A.
Show abstract
BackgroundImpaired proteasome activity is a robust and reproducible feature in Alzheimers disease (AD) patients and animal models. Although amyloid beta (A{beta}) may inhibit proteasomes, it is unclear if this reflects direct structural interference or indirect toxicity. The proteasome controls a myriad of critical neuronal processes with its disruption potentially driving downstream AD pathology. MethodsWe examined the direct impact of distinct A{beta} forms on proteasome structure, dynamics, and function by evaluating enzyme activity and morphology by atomic force microscopy (AFM) and native-gel electrophoresis. To prevent A{beta}-induced impairments in vitro and in AD animal models, we used allosteric proteasome activating peptidomimetics. We characterized their interactions with proteasome by AI enhanced in silico docking. ResultsToxic soluble A{beta}42 oligomers selectively inhibit 20S and 26S proteasome activity, while monomeric and fibrillar forms and A{beta}40 show minimal inhibitory effects. Morphometric analysis of AFM images suggests A{beta}42 oligomers bind laterally to the 20S proteasomes, and impair proteasome dynamics by disabling gate opening, critical for catalytic activity. Oligomer-decorated proteasomes are locked in catalytically inert cycling between closed and intermediate gate conformations. Oligomeric A{beta}42 also induces disassembly of the 26S complex, increasing content of free 20S cores. Importantly, we show proteasome dysfunction induced by oligomeric A{beta}42 is both preventable and reversible by employing an allosteric proteasome activator TAT-DEN, promoting gate opening and restoring enzymatic activity with the full-cycle of conformational transitions in oligomers-treated proteasomes. In cellular and animal models, restoring proteasome function via TAT-DEN mitigated A{beta}-induced cell death, spatial learning/memory deficits, and survival impairments, even under conditions of pre-established A{beta} deficits. ConclusionsOligomeric A{beta}42 decorates the lateral sides of the 20S proteasome restricting cycling between conformations and blocking gate opening. It also reduces the pool of 26S proteasomes necessary for the ubiquitin-dependent protein degradation. We demonstrate proteasome dysfunction can be prevented and reversed by proteasome agonist that lowers 20S affinity to oligomers and promotes allosteric gate opening. We show that proteasome activation with TAT-DEN prevents cognitive deficits in AD animal models. This suggests proteasome dysfunction is a key downstream target in AD pathology and supports proteasome activation as a therapeutic strategy to restore neuronal function in AD.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Age-related changes in Tau and Autophagy in human brain in the absence of neurodegeneration 95%
- ACE1 Does Not Influence Cerebral Aβ Degradation or Amyloid Plaque Accumulation in 5XFAD Mice 94%
- Antibodies raised against a structurally defined Aβ oligomer mimic protect human iPSC neurons from Aβ toxicity at sub-stoichiometric concentrations 94%
Similar papers in this journal
- PTP1B inhibition promotes microglial phagocytosis in Alzheimer's disease models by enhancing SYK signaling 96%
- Protein mishandling and impaired lysosomal proteolysis generated through calcium dysregulation in Alzheimer's disease 95%
- The inhibition of LSD1 via sequestration contributes to tau-mediated neurodegeneration 95%
Similar papers in this journal
- Divergent age-dependent conformational rearrangement within Aβ-amyloid deposits in APP23, APPPS1, and AppNL-F mice 95%
- SARS-CoV-2 and HSV-1 Induce Amyloid Aggregation in Human CSF Resulting in Drastic Soluble Protein Depletion 94%
- Sigma receptor ligands are potent anti-prion compounds that act independently of sigma receptor binding 93%
"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.