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Cited by 818

The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.

Alzheimer's Disease: Molecular Understanding Predicts Amyloid-Based Therapeutics

Selkoe, Dennis J., Schenk, Dale·2003·Annual Review of Pharmacology and Toxicology

Abstract

Degenerative diseases of the brain were long considered among the most obscure and intractable of human maladies. However, recent advances in understanding their mechanisms have brought us to the verge of potential disease-modifying agents. This progress is perhaps best exemplified by the case of Alzheimer's disease. The application of molecular pathology and genetics has led to the recognition that the four genes implicated to date in familial Alzheimer's disease all chronically elevate cerebral levels of the amyloid β-protein (Aβ). Accordingly, small molecule inhibitors of the β- and γ-secretases, the proteases that generate Aβ from its precursor, are under active development, and some have shown in vivo efficacy in mouse models. An alternative approach, active or passive immunization against Aβ, has received extensive pre-clinical validation in mice, but an effective preparation free of significant side effects in humans is still awaited. Several other potential therapies are also reviewed here. If one or more of these varied approaches is ultimately proven to slow or prevent dementia, Alzheimer's disease will become a salient example of the successful application of reductionist biology to the most complex of organs, the human cerebral cortex.

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Metadata

Authors
Selkoe, D. J., & Schenk, D.
Venue
Annual Review of Pharmacology and Toxicology
Published
2003-04
Volume
43
Issue
1
Pages
545-584
ISSN
  • 0362-1642 (ISSN-L)
  • 1545-4304
OpenAlex
W2124135429
Cited by
818
References
149
FWCI
5.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Alzheimer's Disease: Molecular Understanding Predicts Amyloid-Based Therapeutics. https://app.cochat.ai/papers/10.1146/annurev.pharmtox.43.100901.140248
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Selkoe, D. J., & Schenk, D. (2003). Alzheimer's Disease: Molecular Understanding Predicts Amyloid-Based Therapeutics. Annual Review of Pharmacology and Toxicology. https://doi.org/10.1146/annurev.pharmtox.43.100901.140248

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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.