Resistance of Francisella tularensis strains against reactive nitrogen and oxygen species with special reference to the role of KatG
Bibliographic record
Abstract
Francisella tularensis is a facultative intracellular bacterial pathogen capable of proliferating within host macrophages. The mechanisms that explain the differences in virulence between various strains of the species are not well characterized. In the present study, we show that both attenuated (strain LVS) and virulent (strains FSC200 and SCHU S4) strains of the pathogen replicate at similar rates in resting murine peritoneal exudate cells (PEC). However, when PEC were activated by exposure to gamma interferon (IFN-gamma), they killed LVS more rapidly than virulent strains of the pathogen. Addition of N(G)-monomethyl-l-arginine, an inhibitor of inducible nitric oxide synthase, to IFN-gamma-treated PEC, completely inhibited killing of the virulent strains, whereas it only partially blocked the killing of LVS. Similarly, in a cell-free system, SCHU S4 and FSC200 were more resistant to killing by H(2)O(2) and ONOO(-) than F. tularensis LVS. Catalase encoded by katG is a bacterial factor that can detoxify bactericidal compounds such as H(2)O(2) and ONOO(-). To investigate its contribution to the virulence of F. tularensis, katG deletion-containing mutants of SCHU S4 and LVS were generated. Both mutants demonstrated enhanced susceptibility to H(2)O(2) in vitro but replicated as effectively as the parental strains in unstimulated PEC. In mice, LVS-DeltakatG was significantly attenuated compared to LVS whereas SCHU S4-DeltakatG, despite slower replication, killed mice as quickly as SCHU S4. This implies that clinical strains of the pathogen have katG-independent mechanisms to combat the antimicrobial effects exerted by H(2)O(2) and ONOO(-), the loss of which could have contributed to the attenuation of LVS
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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 | 0.000 | 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) | 0.001 | 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 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".