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Usage Information

Breaking through the surface: more to learn about lipids and cardiovascular disease
Justin B. Echouffo-Tcheugui, Mohit Jain, Susan Cheng
Justin B. Echouffo-Tcheugui, Mohit Jain, Susan Cheng
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Commentary

Breaking through the surface: more to learn about lipids and cardiovascular disease

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Abstract

The human lipidome comprises over tens of thousands of distinct lipid species in addition to total cholesterol and the other conventional lipid traits that are routinely measurable in the peripheral circulation. Of the lipid species considered to exhibit bioactive functions, sphingolipids are a class of molecules that have shown relevance to human disease risk and cardiovascular outcomes in particular. In this issue of the JCI, Poss et al. conducted targeted lipidomics in a case-control study involving over 600 individuals and found a sphingolipid profile that predicted coronary artery disease status. In the context of emerging evidence linking sphingolipid biology with cardiovascular pathophysiology, these results suggest the potential utility of serum sphingolipids as cholesterol-independent markers of risk and even future targets for optimizing cardiovascular health.

Authors

Justin B. Echouffo-Tcheugui, Mohit Jain, Susan Cheng

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Usage data is cumulative from October 2025 through October 2026.

Usage JCI PMC
Text version 687 22
PDF 281 9
Figure 195 1
Citation downloads 225 0
Totals 1,388 32
Total Views 1,420
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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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