The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Trace amounts of copper in water induce β-amyloid plaques and learning deficits in a rabbit model of Alzheimer's disease
Open accessAbstract
Despite the crucial role played by cholesterol and copper in nutrition and normal brain function, recent evidence indicates that they may both be important factors in the etiology of Alzheimer's disease (AD). Here we provide critical evidence for the role of cholesterol and copper in AD by showing that the addition of trace amounts of copper (0.12 ppm) to water given to cholesterol-fed rabbits can induce β-amyloid (Aβ) accumulation, including senile plaque-like structures in the hippocampus and temporal lobe, and can significantly retard the ability of rabbits to learn a difficult trace conditioning task. The Aβ deposits do not affect the ability of rabbits to detect or respond to the training stimuli nor to learn a simpler delay conditioning task. Trace amounts of copper in drinking water may influence clearance of Aβ from the brain at the level of the interface between the blood and cerebrovasculature and combined with high cholesterol may be a key component to the accumulation of Aβ in the brain, having a significant impact on learning and memory. Cholesterol-fed rabbits have at least 12 pathological markers seen in AD, suggesting that the cholesterolfed rabbit is a good animal model for studying AD.
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Copper, iron and zinc in Alzheimer's disease senile plaques
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Treatment of Alzheimer’s Disease with Clioquinol
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History and progress of hypotheses and clinical trials for Alzheimer’s disease
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Metals in Alzheimer's and Parkinson's Diseases
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Copper and iron disorders of the brain
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Bioinorganic chemistry of copper and zinc ions coordinated to amyloid-β peptide
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Metadata
- Authors
- Sparks, D. L., & Schreurs, B. G.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2003-08-14
- Volume
- 100
- Issue
- 19
- Pages
- 11065-11069
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2120937046
- Cited by
- 459
- References
- 5
- FWCI
- 12.67
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
