Document Type
Article
Publication Date
7-23-2021
Publication Title
Front Aging Neurosci
Keywords
JMG, JGM
JAX Location
Front Aging Neurosci 2021 Jul 23; 13:713726
Volume
13
First Page
713726
Last Page
713726
ISSN
1663-4365
PMID
34366832
DOI
https://doi.org/10.3389/fnagi.2021.713726
Grant
AG054345
Abstract
The ability to investigate therapeutic interventions in animal models of neurodegenerative diseases depends on extensive characterization of the model(s) being used. There are numerous models that have been generated to study Alzheimer's disease (AD) and the underlying pathogenesis of the disease. While transgenic models have been instrumental in understanding AD mechanisms and risk factors, they are limited in the degree of characteristics displayed in comparison with AD in humans, and the full spectrum of AD effects has yet to be recapitulated in a single mouse model. The Model Organism Development and Evaluation for Late-Onset Alzheimer's Disease (MODEL-AD) consortium was assembled by the National Institute on Aging (NIA) to develop more robust animal models of AD with increased relevance to human disease, standardize the characterization of AD mouse models, improve preclinical testing in animals, and establish clinically relevant AD biomarkers, among other aims toward enhancing the translational value of AD models in clinical drug design and treatment development. Here we have conducted a detailed characterization of the 5XFAD mouse, including transcriptomics, electroencephalogram,
Recommended Citation
Oblak A,
Lin P,
Kotredes K,
Pandey R,
Garceau D,
Jackson HM,
Uyar A,
O'Rourke R,
O'Rourke S,
Ingraham C,
Bednarczyk D,
Belanger M,
Cope Z,
Little G,
Williams S,
Ash C,
Bleckert A,
Ragan T,
Logsdon B,
Mangravite L,
Sukoff Rizzo S,
Territo P,
Carter GW,
Howell G,
Sasner M,
Lamb B.
Comprehensive Evaluation of the 5XFAD Mouse Model for Preclinical Testing Applications: A MODEL-AD Study. Front Aging Neurosci. 2021; 13():713726
Comments
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).