Inflammation patterns induced by different Burkholderia species in mice
Bibliographic record
Abstract
Burkholderia pseudomallei, which causes melioidosis, a severe, mainly pulmonary disease endemic in South-East Asia, is considered to be the most pathogenic of the Burkholderia genus. B. thailandensis, however, is considered avirulent. We determined differences in patterns of inflammation of B. pseudomallei 1026b (clinical virulent isolate), B. pseudomallei AJ1D8 (an in vitro invasion-deficient mutant generated from strain 1026b by Tn5-OT182 mutagenesis) and B. thailandensis by intranasally inoculating C57BL/6 mice with each strain. Mice infected with B. thailandensis showed a markedly decreased bacterial outgrowth from lungs, spleen and blood 24 h after inoculation, compared with infection with B. pseudomallei and the invasion mutant AJ1D8. Forty-eight hours after inoculation, B. thailandensis was no longer detectable. This was consistent with elevated pulmonary cytokine and chemokine concentrations after infection with B. pseudomallei 1026b and AJ1D8, and the absence of these mediators 48 h, but not 24 h, after inoculation with B. thailandensis. Histological examination, however, did show marked pulmonary inflammation in the mice infected with B. thailandensis, corresponding with substantial granulocyte influx and raised myeloperoxidase levels. Survival experiments showed that infection with 1 x 10(3) cfu B. thailandensis was not lethal, whereas inoculation with 1 x 10(6) cfu B. thailandensis was equally lethal as 1 x 10(3) cfu B. pseudomallei 1026b or AJ1D8. These data show that B. pseudomallei AJ1D8 is just as lethal as wild-type B. pseudomallei in an in vivo mouse model, and B. thailandensis is perhaps more virulent than is often recognized.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".