Regulation of Allergic Airways Disease by CD4+ T cells engineered to overexpress Interleukin-17 (163.7)
Bibliographic record
Abstract
Abstract Background: Clinical data have associated Th17 cells, IL-17 and neutrophilia with severe asthma. The objective of these experiments is to assess how T cell specific overexpression of IL-17 modifies OVA-induced airway inflammatory responses using an adoptive transfer murine model. Methods: Recombinant retroviruses encoding either EGFP alone (pAP2) or both EGFP and IL-17 were used to transduce CD4+ T cells from OVA-sensitized donor BALB/c mice, re-stimulated with OVA ex vivo for targeted retroviral transduction. CD4+ T cells were isolated using magnetic selection and adoptively transferred intraperitoneally into naïve mice on day 0. Recipients were then anaesthetized and challenged intranasally with OVA daily for 5 days. Mice were sacrificed 24h after the final challenge. Results: Recombinant retroviruses efficiently transduced CD4+ T cells after re-stimulation with OVA such that 0.17% of T cells transduced with control virus expressed IL-17 vs 4.65% of T cells transduced with IL-17pAP2. Supernatants from IL-17pAP2 transduced cells produced abundant IL-17, which was undetectable in pAP2 transduced cells. Following adoptive transfer and challenge, IL-17 levels in the bronchoalveolar lavage fluid (BALF) of recipients from the IL-17pAP2 group were greater than those from the pAP2 control group. BALF levels of inflammatory cells were increased in each group. This model will allow us to define how allergic airway inflammation is modified by T cell specific IL-17 overproduction.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".