Recombinant adenovirus vectors expressing interleukin‐5 and ‐6 specifically enhance mucosal immunoglobulin A responses in the lung
Bibliographic record
Abstract
In this study, we have examined the in vivo effects of interleukin-5 (IL-5) and IL-6 over-expression on systemic and mucosal immune responses using recombinant human type 5 adenoviruses capable of expressing these cytokines upon infection. A recombinant adenovirus containing the murine IL-5 gene within the E3 region was constructed and found to express high levels of IL-5 protein both in vitro and in vivo. Intranasal inoculation of mice with this vector or a vector expressing murine IL-6 increased adenovirus-specific immunoglobulin A (IgA) titres in lung lavage fluid threefold compared with those elicited by control virus. The simultaneous expression of both cytokines by co-inoculation altered the kinetics of the mucosal anti-adenovirus IgA response and resulted in a more than additive increase in antibody titres. The co-expression effect on IgA synthesis was not due to an increase in numbers of antigen-specific resident lung tissue lymphocytes. When mucosal IgG responses were examined, IL-6 expression had the largest impact on anti-adenovirus levels, whereas co-expression produced an intermediate response. Systemic immune responses were also affected by IL-6 expression as a twofold increase in serum IgG anti-adenovirus titres was observed after a secondary challenge with wild-type adenovirus. These results demonstrate a relevant role for IL-5 and IL-6 in the development of mucosal immune responses in vivo and suggest that the incorporation of either IL-5 and/or IL-6 into recombinant adenovirus vectors may be a useful tool in the development of mucosal vaccines.
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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) | 0.000 | 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".