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Insights From TgF344-AD, a Double Transgenic Rat Model in Alzheimer's Disease Research
A. Nataraj, K. Blahna, K. Ježek
Language English Country Czech Republic
Document type Journal Article, Review
NLK
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PubMed Central
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from 2005-01-01
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- MeSH
- Alzheimer Disease * genetics pathology metabolism MeSH
- Amyloid beta-Protein Precursor genetics metabolism MeSH
- Rats MeSH
- Humans MeSH
- Disease Models, Animal * MeSH
- Brain pathology metabolism MeSH
- Rats, Inbred F344 MeSH
- Rats, Transgenic * MeSH
- Presenilin-1 genetics MeSH
- Animals MeSH
- Check Tag
- Rats MeSH
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
Alzheimer's disease (AD), a leading cause of dementia worldwide, is a multifactorial neurodegenerative disorder characterized by amyloid-beta plaques, tauopathy, neuronal loss, neuro-inflammation, brain atrophy, and cognitive deficits. AD manifests as familial early-onset (FAD) with specific gene mutations or sporadic late-onset (LOAD) caused by various genetic and environmental factors. Numerous transgenic rodent models have been developed to understand AD pathology development and progression. The TgF344-AD rat model is a double transgenic model that carries two human gene mutations: APP with the Swedish mutation and PSEN-1 with delta exon 9 mutations. This model exhibits a complete repertoire of AD pathology in an age-dependent manner. This review summarizes multidisciplinary research insights gained from studying TgF344-AD rats in the context of AD pathology. We explore neuropathological findings; electrophysiological assessments revealing disrupted synaptic transmission, reduced spatial coding, network-level dysfunctions, and altered sleep architecture; behavioral studies highlighting impaired spatial memory; alterations in excitatory-inhibitory systems; and molecular and physiological changes in TgF344-AD rats emphasizing their age-related effects. Additionally, the impact of various interventions studied in the model is compiled, underscoring their role in bridging gaps in understanding AD pathogenesis. The TgF344-AD rat model offers significant potential in identifying biomarkers for early detection and therapeutic interventions, providing a robust platform for advancing translational AD research. Key words Alzheimer's disease, Transgenic AD models, TgF344-AD rats, Spatial coding.
References provided by Crossref.org
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