Construction and screening of attenuated Δ<i>phoP/Q Salmonella typhimurium</i>vectored plague vaccine candidates
Bibliographic record
Abstract
Preclinical studies evaluating plague vaccine candidates have demonstrated that the F1 and V protein antigens of Yersinia pestis confer protection against challenge from virulent strains. Live-attenuated ΔphoP/Q Salmonella typhimurium recombinants were constructed expressing either F1, V antigens, F1 and V antigens, or a F1-V fusion from Asd (+) balanced-lethal plasmids. To improve antigen delivery, genes encoding plague antigens were modified in order to localize antigens to specific bacterial cellular compartments which include cytoplasmic, outer membrane, or secreted. Candidate vaccine strains were evaluated for growth characteristics, full-length lipopolysaccharide (LPS), plasmid stability, and antigen expression in vitro. Plague vaccine candidate strains with favorable in vitro profiles were evaluated in murine or rabbit preclinical oral immunogenicity studies. Attenuated S. typhimurium strains expressing cytoplasmically localized F1-V and V antigen antigens were more immunogenic than strains that secreted or localized plague antigens to the outer membrane. In particular, S. typhimurium M020 and M023, which express Asd(+)-plasmid derived soluble F1-V and soluble V antigen, respectively, at high levels in the bacterial cell cytoplasm were found to induce the highest levels of plague-specific serum antibodies. To further evaluate balanced-lethal plasmid retention capacity, ΔphoP/Q S. typhimurium PurB(+) and GlnA(+) balanced-lethal plasmid systems harboring F1-V were compared with M020 in vitro and in BALB/c mice in a immunogenicity study. Although there was no detectable difference in plague antigen expression in vitro, S. typhimurium M020 was the most immunogenic plague antigen vector strain evaluated, inducing high-titer serum IgG antibodies specific against F1, V and F1-V.
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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 | 0.000 |
| 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 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".