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[Preprint]. 2026 Sep 10:2026.09.08.750179. [Version 2] doi: 10.64898/2026.09.08.750179

Characterization of the knock-in App SAA mouse model as a powerful tool for Alzheimer’s disease preclinical research

Lucy J Sloan, Dylan T Garceau, Nick J Ryan, Justice Pomeroy-Tuck, Ritesh Chidambaram, Tim Ragan, Ravi S Pandey, Erik B Bloss, Gregory W Carter, Adrian L Oblak, Michael Sasner
PMCID: PMC13622690  PMID: 42818390

Abstract

BACKGROUND

Preclinical Alzheimer’s disease (AD) research requires models with age-dependent, physiologically relevant amyloid pathology, unlike overexpression in transgenic lines. We characterized the humanized App SAA knock-in model to define translationally relevant therapeutic windows.

METHODS

Homozygous App SAA and control mice were evaluated from 4 to 19 months using whole-brain 3D plaque imaging, cerebral amyloid angiopathy (CAA) quantification, multiplex neuropathology, brain transcriptomics, and plasma biomarkers. Hippocampal synaptic analysis and context-dependent memory was performed at 12 months.

RESULTS

Plaques, CAA, plaque-associated neuroinflammation, and dystrophic neurites accumulated with age. By 12 months, brain transcriptomes aligned with human AMP-AD co-expression modules, and plasma pTau-217, GFAP, and SNAP25 rose with age. App SAA mice retained associative memory but showed memory interference and CA1 dendritic-spine loss that was exacerbated in proximity to plaques.

CONCLUSIONS

App SAA mice recapitulate age-dependent, human-relevant AD phenotypes with defined therapeutic windows for preclinical research. The model is available without restriction from The Jackson Laboratory.

Full Text Availability

The license terms selected by the author(s) for this preprint version do not permit archiving in PMC. The full text is available from the preprint server.


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