Targeting Transgene Expression for Cystic Fibrosis Gene Therapy
Bibliographic record
Abstract
We have developed an expression cassette for cystic fibrosis (CF) gene therapy using control elements from the human cytokeratin 18 gene (KRT18, also known as K18). KRT18 is naturally expressed in a spatial pattern similar to that of CFTR, the gene mutated in CF. We delivered a KRT18-driven lacZ plasmid complexed with cationic liposomes intravenously to mice and examined expression in various tissues. We found expression in nasal and bronchial epithelium, airway submucosal glands, gall bladder, and kidneys. Expression was low in pancreas and gut, and absent from liver and alveolar lung. This is consistent with the expression pattern reported for a K18lacZ transgenic mouse. Following delivery of a cytomegalovirus (CMV) major immediate-early promoter/enhancer-driven lacZ plasmid, we found expression in bronchi, submucosal glands, alveolar cells, liver, and kidney. We did not detect expression in nose, pancreas, gall bladder, or gut. Using fluorescently labeled plasmid delivered by means of liposomes, we identified the liver, alveolar lung, and kidneys as the major plasmid deposition sites. Our data demonstrate that a KRT18-driven expression vector delivered systemically can target gene expression to CF-affected tissues, despite an uneven distribution of plasmid DNA. A KRT18-based vector may be a useful alternative to viral promoter-based vectors in clinical gene therapy trials to treat CF.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".