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Cited by 368

The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.

Inflammatory Markers and the Metabolic Syndrome

Open access
Koh, Kwang Kon, Han, Seung Hwan, Quon, Michael J.·2005·Journal of the American College of Cardiology
DOI 10.1016/j.jacc.2005.06.082
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Abstract

Inflammation in the vasculature might be an important pathogenic link between cardiovascular diseases and the metabolic syndrome. Inflammation can be reduced by a variety of approaches including diet, exercise, cardiovascular drugs, and insulin sensitizers. Importantly, these different measures improve vascular function and reduce inflammation by distinct mechanisms. Therefore, combination therapy including lifestyle modifications and multiple drugs from separate classes might produce additive beneficial outcomes. We review plausible mechanisms for effects of combination therapy to reduce inflammation, improve endothelial dysfunction, and decrease insulin resistance in atherosclerosis, coronary heart disease, and hypertension in the context of insulin-resistant states including diabetes, obesity, and the metabolic syndrome.

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Crossref · 10.1016/j.jacc.2005.06.082

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Metadata

Authors
Koh, K. K., Han, S. H., & Quon, M. J.
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2005-12
Volume
46
Issue
11
Pages
1978-1985
ISSN
0735-1097 (ISSN-L)
DOI
10.1016/j.jacc.2005.06.082
OpenAlex
W31842883
Cited by
368
References
85
FWCI
18.32
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Inflammatory Markers and the Metabolic Syndrome. https://app.cochat.ai/papers/10.1016/j.jacc.2005.06.082
The paper
Koh, K. K., Han, S. H., & Quon, M. J. (2005). Inflammatory Markers and the Metabolic Syndrome. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2005.06.082

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.