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Usage Information

The ex vivo human lung: research value for translational science
James T. Ross, Nicolas Nesseler, Jae-Woo Lee, Lorraine B. Ware, Michael A. Matthay
James T. Ross, Nicolas Nesseler, Jae-Woo Lee, Lorraine B. Ware, Michael A. Matthay
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Review

The ex vivo human lung: research value for translational science

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Abstract

Respiratory diseases are among the leading causes of death and disability worldwide. However, the pathogenesis of both acute and chronic lung diseases remains incompletely understood. As a result, therapeutic options for important clinical problems, including acute respiratory distress syndrome and chronic obstructive pulmonary disease, are limited. Research efforts have been held back in part by the difficulty of modeling lung injury in animals. Donor human lungs that have been rejected for transplantation offer a valuable alternative for understanding these diseases. In 2007, our group developed a simple preparation of an ex vivo–perfused single human lung. In this Review, we discuss the availability of donor human lungs for research, describe the ex vivo–perfused lung preparation, and highlight how this preparation can be used to study the mechanisms of lung injury, to isolate primary cells, and to test novel therapeutics.

Authors

James T. Ross, Nicolas Nesseler, Jae-Woo Lee, Lorraine B. Ware, Michael A. Matthay

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Usage data is cumulative from February 2025 through February 2026.

Usage JCI PMC
Text version 705 113
PDF 206 20
Figure 229 2
Table 126 0
Citation downloads 135 0
Totals 1,401 135
Total Views 1,536
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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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