<i>Stenotrophomonas maltophilia</i> biofilm reduction by <i>Bdellovibrio exovorus</i>
Bibliographic record
Abstract
Stenotrophomonas maltophilia, a bacterium ubiquitous in the environment, is also an opportunistic, multidrug-resistant human pathogen that colonizes tissues and medical devices via biofilm formation. We investigated the ability of an isolate from sewage of the bacterial predator Bdellovibrio exovorus to disrupt preformed biofilms of 18 strains of S. maltophilia isolated from patients, hospital sink drains and water fountain drains. B. exovorus FFRS-5 preyed on all S. maltophilia strains in liquid co-cultures and was able to significantly disrupt the biofilms of 15 of the S. maltophilia strains tested, decreasing as much as 76.7% of the biofilm mass. The addition of ciprofloxacin and kanamycin in general reduced S. maltophilia biofilms but less than that of B. exovorus alone. Furthermore, when antibiotics and B. exovorus were used together, B. exovorus was still effective in the presence of ciprofloxacin whereas the addition of kanamycin reduced the effectiveness of B. exovorus. Overall, B. exovorus was able to decrease the mass of preformed biofilms of S. maltophilia in the presence of clinically relevant antibiotics demonstrating that the predator may prove to be a beneficial tool to reduce S. maltophilia environmental or clinically associated biofilms.
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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".