Expression of a pertussis toxin S1 fragment by inducible promoters in oral<i>Streptococcus</i>and the induction of immune responses during oral colonization in mice
Bibliographic record
Abstract
Previous work aimed at developing a live oral vaccine expressing pertussis toxin S1 fragment on the surface of the bacterium Streptococcus gordonii elicited a lower than expected antibody response, perhaps because of low antigen expression. In this study, in-frame promoter fusions were constructed to investigate whether an increase in antigen production by the streptococcal vaccine strain results in a better antibody response. The promoters tested were (i) the Streptococcus mutans sucrose-inducible fructosyltransferase (ftf) promoter and (ii) the Bacillus subtilis/Escherichia coli chimeric tetracycline-inducible xyl/tetO promoter. Each of these two promoters was placed upstream of the spaP/s1 fusion gene to drive its expression. The constructs were introduced into S. gordonii DL1 and S. mutans 834. The inducibility of the promoters was confirmed through the determination of SpaP/S1 production via Western blottings. Induced production of SpaP/S1 was observed in S. gordonii and S. mutans with each of the promoters, but the level of expression was the highest in S. mutans, using the xyl/tetO promoter. Thus, S. mutans carrying the xyl/tetO/spaP/s1 construct (S. mutans PM14) was used in oral colonization studies in BALB/c mice. Streptococccus mutans PM14 was able to colonize the animals for the 14-week duration of experimentation. A mucosal IgA response was observed in all the treatment groups but was highest in mice receiving tetracycline induction. In the mouse model of Bordetella pertussis respiratory infection, animals colonized with S. mutans PM14 showed a decreased in B. pertussis lung colony count (P = 0.03) on day 3 compared with control mice colonized by the parent S. mutans 834.
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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) | 0.001 | 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) | 0.001 | 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 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".