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Cited by 326

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Inflammatory mechanisms in Alzheimer's disease: implications for therapy

·1994·American Journal of Psychiatry

Abstract

OBJECTIVE: The purpose of this article is to review evidence that inflammatory and immune mechanisms are important in the pathophysiology of Alzheimer's disease and to suggest new treatment strategies. METHOD: The authors review the English-language literature of the last 10 years pertaining to the pathophysiology of Alzheimer's disease. RESULTS: There is ample evidence supporting the hypothesis that inflammatory and immune mechanisms are involved in tissue destruction in Alzheimer's disease. Acute phase proteins are elevated in the serum and are deposited in amyloid plaques, activated microglial cells that stain for inflammatory cytokines accumulate around senile plaques, and complement components including the membrane attack complex are present around dystrophic neurites and neurofibrillary tangles. CONCLUSIONS: Clinical trials of anti-inflammatory/immunosuppressive drugs are necessary to determine whether alteration of these inflammatory mechanisms can slow the progression of Alzheimer's disease.

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Registry

Crossref · 10.1176/ajp.151.8.1105

Cites

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Metadata

Venue
American Journal of Psychiatry
Published
1994-08-01
Volume
151
Issue
8
Pages
1105-1113
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W38748857
Cited by
326
References
7
FWCI
16.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Inflammatory mechanisms in Alzheimer's disease: implications for therapy. https://app.cochat.ai/papers/10.1176/ajp.151.8.1105
The paper
Inflammatory mechanisms in Alzheimer's disease: implications for therapy. (1994). American Journal of Psychiatry. https://doi.org/10.1176/ajp.151.8.1105

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.