The mechanisms by which e-cigarette vaping (EV) affects lung health remain unclear. Clinical data from clusters of EV-associated lung injury indicate that EV damages distal lung parenchyma and increases vulnerability to second-hit injury, including respiratory viral infections. Using human lung endothelial and epithelial cells and precision-cut lung slices, we investigated the mechanisms underlying distal lung cell injury and repair triggered by brief (24-hour) EV exposure. Using RNA sequencing of lung tissue from Golden Syrian hamsters, we evaluated the persistence of lung stress responses (10 days after 5 days of EV exposure and determined the impact of EV on host defense against influenza A virus (IAV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. EV disrupted the barrier function of human distal lung cells through JNK stress-response signaling, triggered autophagy with impaired autophagolysosomal degradation, suppressed mTOR signaling and cell proliferation, and culminated in apoptosis. Analysis of transcriptional responses in EV-exposed hamster lungs revealed persistent activation of pathways involving JNK signaling, autophagy, barrier dysfunction, tissue remodeling, and impaired Th1 immunity. EV pre-exposure increased the viral burden of SARS-CoV-2, downregulated antiviral genes (Ifit1, Isg15, Nfkbia), and altered Stat1 and Irf7 immune signaling, while amplifying oxidative stress and IL-12 signaling. These findings show that short-term EV exposure triggered stress-induced distal lung cell injury with persistent changes in antiviral immunity and molecular pathways associated with tissue remodeling. When sustained, as with habitual EV use, these alterations may increase susceptibility to respiratory viral infections and contribute to the development of chronic lung disease.
Tanner C. Rivera, Kelly S. Schweitzer, Christina F. Cornell, Jordan M. Nall, Nicholas Egersdorf, Courtney Moeder, Riley A. Cooney, Eszter K. Vladar, Steve D. Groshong, Gregory P. Downey, James P. Bridges, Richard Bowen, Hong Wei Chu, Irina Petrache
Usage data is cumulative from August 2026 through August 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 320 | 0 |
| 100 | 0 | |
| Supplemental data | 25 | 0 |
| Citation downloads | 45 | 0 |
| Totals | 490 | 0 |
| Total Views | 490 | |
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.