Impact of<scp>d</scp>-amino acid dehydrogenase on virulence factor production by a<i>Pseudomonas aeruginosa</i>
Bibliographic record
Abstract
Chronic Pseudomonas aeruginosa infections remain the leading cause of lung dysfunction and mortality for cystic fibrosis (CF) patients. Many other bacteria inhabit the CF lung, but P. aeruginosa utilizes novel strategies that allow it to colonize this environment as the predominant bacterial pathogen. D-Amino acid dehydrogenase encoded by dadA is highly expressed by P. aeruginosa within the CF lung, and it is required for optimal production of hydrogen cyanide by some CF-adapted isolates. To better understand the increased significance of D-amino acid dehydrogenase in P. aeruginosa physiology, we characterized the contribution of the dad operon to virulence factor production. In this study, we determined that DadA is required for optimal production of pyocyanin, pyoverdine, and rhamnolipid by CF-adapted and non-CF-adapted isolates of P. aeruginosa. In addition, DadA is required for optimal production of alginate, biofilm formation, and virulence of a CF-adapted isolated of P. aeruginosa in an alfalfa seedling model of infection. Taken together, the results indicate that DadA plays a pleiotropic role in the production of important virulence factors by P. aeruginosa.
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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".