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Usage Information

Platelets induce neutrophil extracellular traps in transfusion-related acute lung injury
Axelle Caudrillier, Kai Kessenbrock, Brian M. Gilliss, John X. Nguyen, Marisa B. Marques, Marc Monestier, Pearl Toy, Zena Werb, Mark R. Looney
Axelle Caudrillier, Kai Kessenbrock, Brian M. Gilliss, John X. Nguyen, Marisa B. Marques, Marc Monestier, Pearl Toy, Zena Werb, Mark R. Looney
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Research Article Pulmonology

Platelets induce neutrophil extracellular traps in transfusion-related acute lung injury

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Abstract

There is emerging evidence that platelets are major contributors to inflammatory processes through intimate associations with innate immune cells. Here, we report that activated platelets induce the formation of neutrophil extracellular traps (NETs) in transfusion-related acute lung injury (TRALI), which is the leading cause of death after transfusion therapy. NETs are composed of decondensed chromatin decorated with granular proteins that function to trap extracellular pathogens; their formation requires the activation of neutrophils and release of their DNA in a process that may or may not result in neutrophil death. In a mouse model of TRALI that is neutrophil and platelet dependent, NETs appeared in the lung microvasculature and NET components increased in the plasma. We detected NETs in the lungs and plasma of human TRALI and in the plasma of patients with acute lung injury. In the experimental TRALI model, targeting platelet activation with either aspirin or a glycoprotein IIb/IIIa inhibitor decreased NET formation and lung injury. We then directly targeted NET components with a histone blocking antibody and DNase1, both of which protected mice from TRALI. These data suggest that NETs contribute to lung endothelial injury and that targeting NET formation may be a promising new direction for the treatment of acute lung injury.

Authors

Axelle Caudrillier, Kai Kessenbrock, Brian M. Gilliss, John X. Nguyen, Marisa B. Marques, Marc Monestier, Pearl Toy, Zena Werb, Mark R. Looney

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Usage data is cumulative from October 2025 through October 2026.

Usage JCI PMC
Text version 2,705 500
PDF 451 146
Figure 1,140 6
Supplemental data 212 14
Citation downloads 302 0
Totals 4,810 666
Total Views 5,476
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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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