Suppression of Host Innate Immune Response by <i>Burkholderia pseudomallei</i> through the Virulence Factor TssM
Bibliographic record
Abstract
Burkholderia pseudomallei is a Gram-negative saprophyte that is the causative agent of melioidosis, a severe infectious disease endemic in Northern Australia and Southeast Asia. This organism has sparked much scientific interest in the West because of its classification as a potential bioterrorism agent by the U.S. Centers for Disease Control and Prevention. However, relatively little is known about its pathogenesis. We demonstrate that B. pseudomallei actively inhibits NF-kappaB and type I IFN pathway activation, thereby downregulating host inflammatory responses. We found the virulence factor TssM to be responsible for this activity. TssM interferes with the ubiquitination of critical signaling intermediates, including TNFR-associated factor-3, TNFR-associated factor-6, and IkappaBalpha. The expression but not secretion of TssM is regulated by the type III secretion system. We demonstrate that TssM is important for B. pseudomallei infection in vivo as inflammation in the tssM mutant-infected mice is more severe and corresponds to a more rapid death compared with wild-type bacteria-infected mice. Abs to TssM can be detected in the sera of melioidosis patients, indicating that TssM is functionally expressed in vivo and thus could contribute to bacterial pathogenesis in human melioidosis.
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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) | 0.001 | 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".