Disruption of Pseudomonas aeruginosa Biofilms by Murine Alveolar-Like Macrophages Secreting Psl Glycoside Hydrolase (PslG)
Bibliographic record
Abstract
In Cystic Fibrosis (CF), high morbidity and mortality arise from biofilm accumulation due to colonization of the bacterium Pseudomonas aeruginosa in the lungs. These biofilms are resistant to the immune system and antibiotics. I considered that stem cell-derived Alveolar-Like Macrophages (ALMs) that have been genetically modified to secrete the glycoside hydrolase enzyme PslG which is capable of disrupting P. aeruginosa biofilms, may have potential as a novel CF therapy. I have characterized the secretion kinetics of PslG-ALMs in-vitro. PslG-ALMs can disrupt mature biofilms of the P. aeruginosa lab strain PAO1 and patient isolates in-vitro. After intratracheal delivery, PslG-ALMs survive and secrete active PslG in the airways of healthy mice. PslG-ALMs do not elicit an antibody response in mice. These results of PslG-ALMs against P. aeruginosa biofilms in-vitro and in-vivo in mice support future investigation of the potential of ALMs as a dual therapeutic and drug-delivery technology.
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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) | 0.002 | 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".