Mouse models of neurodegenerative disease: preclinical imaging and neurovascular component
Abstract
Neurodegenerative diseases represent great challenges for basic science and clinical medicine because of their prevalence, pathologies, lack of mechanism-based treatments, and impacts on individuals. Translational research might contribute to the study of neurodegenerative diseases. The mouse has become a key model for studying disease mechanisms that might recapitulate in part some aspects of the corresponding human diseases. Neurodegenerative disorders are very complicated and multifactorial. This has to be taken in account when testing drugs. Most of the drugs screening in mice are very difficult to be interpretated and often useless. Mouse models could be condiderated a 'pathway models', rather than as models for the whole complicated construct that makes a human disease. Non-invasive in vivo imaging in mice has gained increasing interest in preclinical research in the last years thanks to the availability of high-resolution single-photon emission computed tomography (SPECT), positron emission tomography (PET), high field Magnetic resonance, Optical Imaging scanners and of highly specific contrast agents. Behavioral test are useful tool to characterize different animal models of neurodegenerative pathology. Furthermore, many authors have observed vascular pathological features associated to the different neurodegenerative disorders. Aim of this review is to focus on the different existing animal models of neurodegenerative disorders, describe behavioral tests and preclini…
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The 5XFAD mouse model recapitulates many phenotypes of AD pathology in a quick and progressive manner.
“The 5XFAD mouse model of AD was used throughout the study as the expression of human transgenes, amyloid precursor protein (APP) and presenilin 1 (PSEN1), recapitulate many of the phenotypes of the AD pathology at a quick and progressive manner [17, 18].”
From Control of the temporal development of Alzheimer’s disease pathology by the MR1/MAIT cell axis (2023) · cites this paper as [17]
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Self-citationExperimental Models in Neurodegenerative Diseases
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- Authors
- Albanese, S., Greco, A., Auletta, L., & Mancini, M.
- Affiliations
- CEINGE Biotecnologie Avanzate Franco Salvatore (Italy) (IT)
- Institute of Biostructure and Bioimaging (IT)
- Corresponding author
- Greco, Adelaide
- Venue
- Brain Imaging and Behavior
- Published
- 2017-10-26
- Volume
- 12
- Issue
- 4
- Pages
- 1160-1196
- ISSN
- 1931-7557 (ISSN-L)
- 1931-7565
- OpenAlex
- W2766657139
- Cited by
- 16
- References
- 289
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 3 · 2021: 1 · 2020: 3 · 2019: 1
- FWCI
- 0.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain Imaging and Behavior (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Italian Ministry for Education, University and Research in the framework of PRIN (2010XE5L2R_004)
- Topics
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- neurodegenerative diseases, mouse model, small animal imaging, vascular pathology, behavioral tests, drug screening, in vivo imaging, contrast media, translational research
- MeSH terms
- Neurovascular Coupling, Animals, Disease Models, Animal, Neurodegenerative Diseases, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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