Comparative<i>in vivo</i>and<i>in vitro</i>analyses of putative virulence factors of<i>Burkholderia pseudomallei</i>using lipopolysaccharide, capsule and flagellin mutants
Bibliographic record
Abstract
Burkholderia pseudomallei is a gram-negative bacillus that is the causative agent of melioidosis. We evaluated host-pathogen interaction at different levels using three separate B. pseudomallei mutants generated by insertional inactivation. One of these mutants is defective in the production of the polysaccharide side chains associated with lipopolysaccharide; one does not produce the capsular polysaccharide with the structure -3)-2-O-acetyl-6-deoxy-beta-d-manno-heptopyranose-(1-; and the third mutant does not produce flagellin. We compared the in vivo virulence in BALB/c mice, the in vitro fate of intracellular survival inside human polymorphonuclear cells (PMNs) and macrophages (Mphis) and the susceptibility to killing by 30% normal human serum, reactive nitrogen and oxygen intermediates and antimicrobial peptides with that of their wild-type counterpart. The lipopolysaccharide and capsule mutants demonstrated a marked reduction in virulence for BALB/c mice, but the flagellin mutant was only slightly less virulent than the parent strain. The results from the BALB/c mice experiments correlated with survival in Mphis. The lipopolysaccharide and capsule mutants were also more susceptible to killing by antimicrobial agents. All bacteria were equally susceptible to killing by PMNs. Altogether, the data suggest that lipopolysaccharide and capsule and, to a much lesser extent, flagella, are most likely associated with the virulence of this bacterium and highlight the importance of intracellular killing by PMNs and Mphis in disease pathogenesis.
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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) | 0.000 | 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 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".