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Usage Information

Lentiviral-mediated phenotypic correction of cystic fibrosis pigs
Ashley L. Cooney, Mahmoud H. Abou Alaiwa, Viral S. Shah, Drake C. Bouzek, Mallory R. Stroik, Linda S. Powers, Nick D. Gansemer, David K. Meyerholz, Michael J. Welsh, David A. Stoltz, Patrick L. Sinn, Paul B. McCray Jr.
Ashley L. Cooney, Mahmoud H. Abou Alaiwa, Viral S. Shah, Drake C. Bouzek, Mallory R. Stroik, Linda S. Powers, Nick D. Gansemer, David K. Meyerholz, Michael J. Welsh, David A. Stoltz, Patrick L. Sinn, Paul B. McCray Jr.
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Research Article Pulmonology

Lentiviral-mediated phenotypic correction of cystic fibrosis pigs

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Abstract

Cystic Fibrosis (CF) is an autosomal recessive disease caused by mutations in CF transmembrane conductance regulator (CFTR), resulting in defective anion transport. Regardless of the disease-causing mutation, gene therapy is a strategy to restore anion transport to airway epithelia. Indeed, viral vector–delivered CFTR can complement the anion channel defect. In this proof-of-principle study, functional in vivo CFTR channel activity was restored in the airways of CF pigs using a feline immunodeficiency virus–based (FIV-based) lentiviral vector pseudotyped with the GP64 envelope. Three newborn CF pigs received aerosolized FIV-CFTR to the nose and lung. Two weeks after viral vector delivery, epithelial tissues were analyzed for functional correction. In freshly excised tracheal and bronchus tissues and cultured ethmoid sinus cells, we observed a significant increase in transepithelial cAMP-stimulated current, evidence of functional CFTR. In addition, we observed increases in tracheal airway surface liquid pH and bacterial killing in CFTR vector–treated animals. Together, these data provide the first evidence to our knowledge that lentiviral delivery of CFTR can partially correct the anion channel defect in a large-animal CF model and validate a translational strategy to treat or prevent CF lung disease.

Authors

Ashley L. Cooney, Mahmoud H. Abou Alaiwa, Viral S. Shah, Drake C. Bouzek, Mallory R. Stroik, Linda S. Powers, Nick D. Gansemer, David K. Meyerholz, Michael J. Welsh, David A. Stoltz, Patrick L. Sinn, Paul B. McCray Jr.

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Usage data is cumulative from May 2025 through May 2026.

Usage JCI PMC
Text version 1,578 197
PDF 193 23
Figure 421 13
Citation downloads 145 0
Totals 2,337 233
Total Views 2,570
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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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