Development of an inflammation‐inducible gene expression system using helper‐dependent adenoviral vectors
Bibliographic record
Abstract
BACKGROUND: Clinical studies have shown that gene therapy is a promising approach for treating such genetic diseases as the eye disease, Leber's congenital amaurosis. Development of gene therapy approaches for treating chronic inflammatory diseases is, however, more challenging because it requires the production of anti-inflammatory molecules at the diseased tissues only when they are needed. METHODS: We designed such a system by modifying the human interleukin (IL)-6 gene promoter to direct transgene expression and delivered the system into cultured cells as well as mouse lungs using a helper-dependent adenoviral vector. RESULTS: We have demonstrated both in vitro and in vivo that the reporter LacZ or human IL-10 gene can be induced by inflammatory stimuli. CONCLUSIONS: The results obtained indicate that the inflammation inducible gene expression system based on the modified human IL-6 gene promoter has the potential to be used for developing gene therapy for treating inflammatory diseases.
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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 | 0.003 | 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".