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Cited by 3,803

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Prostaglandins and Inflammation

Open access
Ricciotti, Emanuela, FitzGerald, Garret A.·2011·Arteriosclerosis, Thrombosis, and Vascular Biology

Abstract

Prostaglandins are lipid autacoids derived from arachidonic acid. They both sustain homeostatic functions and mediate pathogenic mechanisms, including the inflammatory response. They are generated from arachidonate by the action of cyclooxygenase isoenzymes, and their biosynthesis is blocked by nonsteroidal antiinflammatory drugs, including those selective for inhibition of cyclooxygenase-2. Despite the clinical efficacy of nonsteroidal antiinflammatory drugs, prostaglandins may function in both the promotion and resolution of inflammation. This review summarizes insights into the mechanisms of prostaglandin generation and the roles of individual mediators and their receptors in modulating the inflammatory response. Prostaglandin biology has potential clinical relevance for atherosclerosis, the response to vascular injury and aortic aneurysm.

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Registry

Crossref · 10.1161/atvbaha.110.207449

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Metadata

Authors
Ricciotti, E., & FitzGerald, G. A.
Venue
Arteriosclerosis, Thrombosis, and Vascular Biology
Published
2011-05
Volume
31
Issue
5
Pages
986-1000
ISSN
  • 1079-5642 (ISSN-L)
  • 1524-4636
OpenAlex
W2129935236
Cited by
3,803
References
12
FWCI
61.34
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Prostaglandins and Inflammation. https://app.cochat.ai/papers/10.1161/atvbaha.110.207449
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Ricciotti, E., & FitzGerald, G. A. (2011). Prostaglandins and Inflammation. Arteriosclerosis, Thrombosis, and Vascular Biology. https://doi.org/10.1161/atvbaha.110.207449

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.