Assessing the Potential of <i>N</i>-Butyl-<scp>l</scp>-deoxynojirimycin (<scp>l</scp>-NBDNJ) in Models of Cystic Fibrosis as a Promising Antibacterial Agent
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Over the past few years, l -iminosugars have revealed attractive pharmacological properties for managing rare diseases including Cystic Fibrosis (CF). The iminosugar N -butyl- l -deoxynojirimycin ( l -NBDNJ, ent - 1 ), prepared by a carbohydrate-based route, was herein evaluated for its anti-inflammatory and anti-infective potential in models of CF lung disease infection. A significant decrease in the bacterial load in the airways was observed in the murine model of Pseudomonas aeruginosa chronic infection in the presence of l -NBDNJ, also accompanied by a modest reduction of inflammatory cells. Mechanistic insights into the observed activity revealed that l -NBDNJ interferes with the expression of proteins regulating cytoskeleton assembly and organization of the host cell, downregulates the main virulence factors of P. aeruginosa involved in the host response, and affects pathogen adhesion to human cells. These findings along with the observation of the absence of an in vitro bacteriostatic/bactericidal action of l -NBDNJ suggest the potential use of this glycomimetic as an antivirulence agent in the management of CF lung disease.
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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".