Human Immunodeficiency Viral Vector Pseudotyped with the Spike Envelope of Severe Acute Respiratory Syndrome Coronavirus Transduces Human Airway Epithelial Cells and Dendritic Cells
Bibliographic record
Abstract
The human severe acute respiratory syndrome coronavirus (SARS-CoV) is a highly infectious virus that causes severe respiratory infections in humans. The spike envelope glycoprotein of SARS-CoV, the main determinant of SARS-CoV tropism, was isolated and used to pseudotype a human immunodeficiency virus (HIV)-based vector. Spike-pseudotyped HIV vector was generated and evaluated in vitro on well-differentiated human airway epithelial cells and bronchial explants and in vivo in murine airways. The spike envelope was less efficient at promoting HIV vector transduction of murine airway epithelium than an optimized deletion mutant of the Zaire ebolavirus envelope glycoprotein (NTD6L), which was used as a benchmark. However, spike-pseudotyped HIV vector was substantially more efficient than NTD6L-pseudotyped vector on human airway epithelium as demonstrated by lacZ gene transfer in primary cultures of epithelial cells and bronchial explants. In addition, this study shows that spike-pseudotyped HIV -based vector can efficiently transduce human dendritic cells and epithelial cells of the esophagus, which may have implications in investigating mechanisms of SARS-CoV pathogenesis. Spike-pseudotyped HIV-based vector is a novel lung-directed gene transfer vehicle that holds promise for the treatment of genetic lung diseases such as cystic fibrosis or alpha(1)-antitrypsin deficiency.
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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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".