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Characterization of an APP/tau rat model of Alzheimer’s disease by positron emission tomography and immunofluorescent labeling

BACKGROUND: To better understand the etiology and pathomechanisms of Alzheimer’s disease, several transgenic animal models that overexpress human tau or human amyloid-beta (Aβ) have been developed. In the present study, we generated a novel transgenic rat model by cross-breeding amyloid precursor pr...

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Detalles Bibliográficos
Autores principales: Filip, Thomas, Mairinger, Severin, Neddens, Joerg, Sauberer, Michael, Flunkert, Stefanie, Stanek, Johann, Wanek, Thomas, Okamura, Nobuyuki, Langer, Oliver, Hutter-Paier, Birgit, Kuntner, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522096/
https://www.ncbi.nlm.nih.gov/pubmed/34656177
http://dx.doi.org/10.1186/s13195-021-00916-2
Descripción
Sumario:BACKGROUND: To better understand the etiology and pathomechanisms of Alzheimer’s disease, several transgenic animal models that overexpress human tau or human amyloid-beta (Aβ) have been developed. In the present study, we generated a novel transgenic rat model by cross-breeding amyloid precursor protein (APP) rats with tau rats. We characterized this model by performing positron emission tomography scans combined with immunofluorescent labeling and cerebrospinal fluid analyses. METHODS: APP/Tau rats were generated by cross-breeding male McGill-R-Thy1-APP transgenic rats with female hTau-40/P301L transgenic rats. APP/Tau double transgenic rats and non-transgenic (ntg) littermates aged 7, 13, and 21 months were subjected to dynamic [(11)C] PiB scan and dynamic [(18)F]THK-5317 scans. For regional brain analysis, a template was generated from anatomical MR images of selected animals, which was co-registered with the PET images. Regional analysis was performed by application of the simplified reference tissue model ([(11)C]PiB data), whereas [(18)F]THK-5317 data were analyzed using a 2-tissue compartment model and Logan graphical analysis. In addition, immunofluorescent labeling (tau, amyloid) and cerebrospinal fluid analyses were performed. RESULTS: [(11)C]PiB binding potential (BP(ND)) and [(18)F]THK-5317 volume of distribution (V(T)) showed an increase with age in several brain regions in the APP/Tau group but not in the ntg control group. Immunohistochemical analysis of brain slices of PET-scanned animals revealed a positive correlation between Aβ labeling and [(11)C]PiB regional BP(ND). Tau staining yielded a trend towards higher levels in the cortex and hippocampus of APP/Tau rats compared with ntg littermates, but without reaching statistical significance. No correlation was found between tau immunofluorescence labeling results and the respective [(18)F]THK-5317 V(T) values. CONCLUSIONS: We thoroughly characterized a novel APP/Tau rat model using combined PET imaging and immunofluorescence analysis. We observed an age-related increase in [(11)C]PiB and [(18)F]THK-5317 binding in several brain regions in the APP/Tau group but not in the ntg group. Although we were able to reveal a positive correlation between amyloid labeling and [(11)C]PiB regional brain uptake, we observed relatively low human tau and amyloid fibril expression levels and a somewhat unstable brain pathology which questions the utility of this animal model for further studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-021-00916-2.