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Usage Information

Decreased atherosclerosis in CX3CR1–/– mice reveals a role for fractalkine in atherogenesis
Philippe Lesnik, Christopher A. Haskell, Israel F. Charo
Philippe Lesnik, Christopher A. Haskell, Israel F. Charo
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Article Vascular biology

Decreased atherosclerosis in CX3CR1–/– mice reveals a role for fractalkine in atherogenesis

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Abstract

The hallmark of early atherosclerosis is the accumulation of lipid-laden macrophages in the subendothelial space. Circulating monocytes are the precursors of these “foam cells,” and recent evidence suggests that chemokines play important roles in directing monocyte migration from the blood to the vessel wall. Fractalkine (FK) is a structurally unusual chemokine that can act either as a soluble chemotactic factor or as a transmembrane-anchored adhesion receptor for circulating leukocytes. A polymorphism in the FK receptor, CX3CR1, has been linked to a decrease in the incidence of coronary artery disease. To determine whether FK is critically involved in atherogenesis, we deleted the gene for CX3CR1 and crossed these mice into the apoE–/– background. Here we report that FK is robustly expressed in lesional smooth muscle cells, but not macrophages, in apoE–/– mice on a high-fat diet. CX3CR1–/– mice have a significant reduction in macrophage recruitment to the vessel wall and decreased atherosclerotic lesion formation. Taken together, these data provide strong evidence that FK plays a key role in atherogenesis.

Authors

Philippe Lesnik, Christopher A. Haskell, Israel F. Charo

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 1,685 57
PDF 401 20
Figure 1,224 13
Table 268 0
Citation downloads 321 0
Totals 3,899 90
Total Views 3,989
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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