RT Journal Article
T1 Systematic phenotyping and characterization of the 5xFAD mouse model of Alzheimer's disease.
A1 Forner, Stefania
A1 Kawauchi, Shimako
A1 Balderrama-Gutierrez, Gabriela
A1 Kramár, Enikö A
A1 Matheos, Dina P
A1 Phan, Jimmy
A1 Javonillo, Dominic I
A1 Tran, Kristine M
A1 Hingco, Edna
A1 da Cunha, Celia
A1 Rezaie, Narges
A1 Alcantara, Joshua A
A1 Baglietto-Vargas, David
A1 Jansen, Camden
A1 Neumann, Jonathan
A1 Wood, Marcelo A
A1 MacGregor, Grant R
A1 Mortazavi, Ali
A1 Tenner, Andrea J
A1 LaFerla, Frank M
A1 Green, Kim N
AB Mouse models of human diseases are invaluable tools for studying pathogenic mechanisms and testing interventions and therapeutics. For disorders such as Alzheimer's disease in which numerous models are being generated, a challenging first step is to identify the most appropriate model and age to effectively evaluate new therapeutic approaches. Here we conducted a detailed phenotypic characterization of the 5xFAD model on a congenic C57BL/6 J strain background, across its lifespan - including a seldomly analyzed 18-month old time point to provide temporally correlated phenotyping of this model and a template for characterization of new models of LOAD as they are generated. This comprehensive analysis included quantification of plaque burden, Aβ biochemical levels, and neuropathology, neurophysiological measurements and behavioral and cognitive assessments, and evaluation of microglia, astrocytes, and neurons. Analysis of transcriptional changes was conducted using bulk-tissue generated RNA-seq data from microdissected cortices and hippocampi as a function of aging, which can be explored at the MODEL-AD Explorer and AD Knowledge Portal. This deep-phenotyping pipeline identified novel aspects of age-related pathology in the 5xFAD model.
YR 2021
FD 2021-10-15
LK https://hdl.handle.net/10668/24616
UL https://hdl.handle.net/10668/24616
LA en
DS RISalud
RD Apr 6, 2025