SARS-CoV-2 spike treatment and transfection impairs airway epithelial repair
Bibliographic record
Abstract
Background: The airway epithelium serves as a physical and immune barrier against inhaled insults. This tissue is susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and, following injury, the airway epithelium undergoes repair to restore barrier function. Although components of SARS-CoV-2, such as the spike glycoprotein essential in viral entry, have been shown to alter biological functions in various tissues, it is unclear how SARS-CoV-2 can impact airway epithelial functions, such as wound repair. Methods: or transfected with a plasmid expressing full-length spike glycoprotein. Secreted inflammatory mediators, markers of proliferation and cell cycle arrest, culture proliferation, and wound closure measurements following mechanical injury were assessed. Results: Spike treatment and transfection altered measures of culture proliferation and markers of proliferation and cell cycle arrest. Secreted interleukin-6 but not interleukin-8 were significantly higher with spike S1 treatment, while both were significantly elevated with spike transfection. Wound closure was inhibited by both spike treatment and transfection, with significant reductions compared to control. Conclusions: SARS-CoV-2 spike S1 treatment and transfection can alter measures of proliferation and inflammation as well as impair wound closure of 16HBE14o- airway epithelial cells. These results highlight how components of SARS-CoV-2 can impair functions of the airway epithelium independent of viral replication.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".