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The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

RAGE: a novel biological and genetic marker for vascular disease

Kalea, Anastasia Z., Schmidt, Ann Marie, Hudson, Barry I.·2009·Clinical Science

Abstract

RAGE [receptor for AGEs (advanced glycation end-products)] plays an important role in the development and progression of vascular disease. Studies in cultured cells and small animal models of disease have clearly demonstrated that RAGE is central to the pathogenesis of vascular disease of the macro- and micro-vessels in both the diabetic and non-diabetic state. Emerging results from human clinical studies have revealed that levels of circulating soluble RAGE in the plasma may reflect the presence and/or extent of vascular disease state. Additionally, genetic variants of the RAGE gene (AGER in HUGO nomenclature) have been associated with vascular disease risk. Combining RAGE circulating protein levels and the presence of particular RAGE polymorphisms may be a useful clinical tool for the prediction of individuals at risk for vascular disease. Therapeutic intervention targeted at the RAGE gene may therefore be a useful means of treating pathologies of the vasculature.

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Metadata

Authors
Kalea, A. Z., Schmidt, A. M., & Hudson, B. I.
Venue
Clinical Science
Published
2009-03-16
Volume
116
Issue
8
Pages
621-637
ISSN
  • 0143-5221 (ISSN-L)
  • 1470-8736
OpenAlex
W2048118572
Cited by
183
References
10
FWCI
6.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: RAGE: a novel biological and genetic marker for vascular disease. https://app.cochat.ai/papers/10.1042/cs20080494
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Kalea, A. Z., Schmidt, A. M., & Hudson, B. I. (2009). RAGE: a novel biological and genetic marker for vascular disease. Clinical Science. https://doi.org/10.1042/cs20080494

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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.