Practical considerations for choosing a mouse model of Alzheimer’s disease
Open accessAbstract
Alzheimer's disease (AD) is behaviorally identified by progressive memory impairment and pathologically characterized by the triad of β-amyloid plaques, neurofibrillary tangles, and neurodegeneration. Genetic mutations and risk factors have been identified that are either causal or modify the disease progression. These genetic and pathological features serve as basis for the creation and validation of mouse models of AD. Efforts made in the past quarter-century have produced over 100 genetically engineered mouse lines that recapitulate some aspects of AD clinicopathology. These models have been valuable resources for understanding genetic interactions that contribute to disease and cellular reactions that are engaged in response. Here we focus on mouse models that have been widely used stalwarts of the field or that are recently developed bellwethers of the future. Rather than providing a summary of each model, we endeavor to compare and contrast the genetic approaches employed and to discuss their respective advantages and limitations. We offer a critical account of the variables which may contribute to inconsistent findings and the factors that should be considered when choosing a model and interpreting the results. We hope to present an insightful review of current AD mouse models and to provide a practical guide for selecting models best matched to the experimental question at hand.
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These mouse models suffered from potential off-target effects caused by non-physiological overexpression of APP/PSEN1 genes and/or combinations of familial AD mutations, which are not observed in AD patients.
“they also suffered from potential off-target effects caused by either non-physiological overexpression of APP/PSEN1 genes and/or combinations of familial AD mutations, which are not observed in AD patients [2, 9].”
From Amyloid-β plaque formation and reactive gliosis are required for induction of cognitive deficits in App knock-in mouse models of Alzheimer’s disease (2019) · cites this paper as [2]
In “Yin and yang of mouse models” (page unavailable), the paper warns that APP overexpression can produce phenotypes unrelated to Alzheimer’s pathology. “Matching your model to your experimental question” (page unavailable) describes mice combining several familial APP and PSEN1 mutations. The cited passages do not establish that those combinations cause off-target effects or that the combinations are absent in AD patients; they also do not establish the same overexpression concern for PSEN1. (LLM, conf=0.84)
Experimental — accuracy not yet measuredGenetic mutations in ADAD and risk factors for SAD have provided useful information to develop animal AD models, particularly in mice.
“The genetic mutations found in ADAD and risk factors associated with SAD have provided useful information to develop animal AD models, particularly in mice [150].”
From Alzheimer's Disease: Treatment Strategies and Their Limitations. (2022) · cites this paper as [150]
Transgenic animal models are invaluable tools for studying pathogenic mechanisms and testing therapeutics of AD.
“transgenic animal models are an invaluable tool for studying pathogenic mechanisms and testing therapeutics of AD (Kitazawa et al., 2012; Jankowsky and Zheng, 2017; Sasaguri et al., 2017).”
From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Jankowsky and Zheng, 2017
Familial AD mutations in APP and PSEN1 genes have been utilized to develop mouse models bearing Aβ pathologies including amyloid plaques and cerebral amyloid angiopathy.
“Familial AD mutations in APP and PSEN1 genes have been utilized to develop mouse models bearing Aβ pathologies including amyloid plaques and cerebral amyloid angiopathy [2].”
From Amyloid-β plaque formation and reactive gliosis are required for induction of cognitive deficits in App knock-in mouse models of Alzheimer’s disease (2019) · cites this paper as [2]
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Background
- Authors
- Jankowsky, J. L., & Zheng, H.
- Affiliations
- Baylor College of Medicine (US)
- Corresponding author
- Jankowsky, Joanna L.
- Zheng, Hui
- Venue
- Molecular Neurodegeneration
- Published
- 2017-12
- Volume
- 12
- Issue
- 1
- Pages
- 89-89
- ISSN
- 1750-1326 (ISSN-L)
- PMC
- PMC5741956
- OpenAlex
- W2779463443
- Cited by
- 449
- References
- 45
- Citations by year
- 2026: 35 · 2025: 42 · 2024: 67 · 2023: 56 · 2022: 70 · 2021: 68 · 2020: 49 · 2019: 39 · 2018: 23
- FWCI
- 3.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular Neurodegeneration (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institute on Aging (AG058188, AG056028, AG054160, AG020670, AG032051, AG054111)
- National Institute of Neurological Disorders and Stroke (NS092615, NS093652)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, mouse model, amyloid plaques, neurofibrillary tangles, neurodegeneration, memory impairment, genetic mutations, model selection, genetic interactions, reproducibility of findings
- MeSH terms
- Alzheimer Disease, Animals, Disease Models, Animal, Humans, Mice, Transgenic, Amyloid beta-Protein Precursor, Cerebral Amyloid Angiopathy, Neurofibrillary Tangles, Mice, Knockout, Neurodegenerative Diseases, Mice, Plaque, Amyloid, Cognitive Dysfunction
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