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Cited by 292

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

Human C-reactive protein and the metabolic syndrome

Open access
Devaraj, Sridevi, Singh, Uma, Jialal, Ishwarlal·2009·Current Opinion in Lipidology

Abstract

PURPOSE OF REVIEW: Low-grade inflammation is characteristic of the metabolic syndrome (MetS). C-reactive protein (CRP), the best characterized biomarker of inflammation, is also an independent predictor of future cardiovascular events. The purpose of this review is to outline the role of inflammation and high sensitivity CRP in the MetS. RECENT FINDINGS: Emerging laboratory and epidemiological data now link inflammation and high sensitivity CRP to insulin resistance and adiposity and other features of MetS. Furthermore, in large prospective studies, increased high sensitivity CRP levels in MetS confer greater cardiovascular risk. CRP has been shown to impair insulin signaling and contributes to atherothrombosis. SUMMARY: Thus, although a high CRP level predisposes to increased cardiovascular risk in MetS, future investigation is warranted on the in-vivo role of CRP in mediating vascular effects and resulting in increased cardiovascular events in MetS patients.

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Crossref · 10.1097/mol.0b013e32832ac03e

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Metadata

Authors
Devaraj, S., Singh, U., & Jialal, I.
Venue
Current Opinion in Lipidology
Published
2009-06
Volume
20
Issue
3
Pages
182-189
ISSN
0957-9672 (ISSN-L)
OpenAlex
W2100896781
Cited by
292
References
12
FWCI
12.95
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Human C-reactive protein and the metabolic syndrome. https://app.cochat.ai/papers/10.1097/mol.0b013e32832ac03e
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Devaraj, S., Singh, U., & Jialal, I. (2009). Human C-reactive protein and the metabolic syndrome. Current Opinion in Lipidology. https://doi.org/10.1097/mol.0b013e32832ac03e

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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.