Cystic fibrosis lung disease following infection with <i>Pseudomonas aeruginosa</i> in <i>Cftr</i> knockout mice using novel non-invasive direct pulmonary infection technique
Bibliographic record
Abstract
To better understand the mechanism of lung infection with Pseudomonas aeruginosa (P. aeruginosa), many techniques have been developed in order to establish lung infection in rodents. A model of chronic lung infection, using tracheotomy to inoculate the bacteria, has been extensively used in the cystic fibrosis (CF) mouse model of lung infection. The cystic fibrosis transmembrane channel (Cftr) knockout (KO) mice are smaller than normal mice and are more sensitive to housing and nutritional conditions, leading to small amounts of animals being available for experiments. Because of these characteristics, and because of the invasiveness of the infection procedure which we, and others, have been using to mimic the lung infection, we sought to find an alternative way to study the inflammatory response during lung P. aeruginosa infection. The technique we describe here consists of the injection of bacterial beads directly into the lungs through the mouth without the need of any tracheal incisions. This technique of direct pulmonary delivery enables much faster infection of the animals compared with the intratracheal technique previously used. The use of this less invasive technique allows the exclusion of the surgery-related inflammation. Our results show that, using the direct pulmonary delivery technique, the KO mice were more susceptible to P. aeruginosa lung infection compared with their wild-type (WT) controls, as shown by their increased weight loss, higher bacterial burden and more elevated polymorphonuclear (PMN) alveolar cell recruitment into the lungs. These differences are consistent with the pathological profiles observed in CF patients infected with P. aeruginosa. Overall, this method simplifies the infection procedure in terms of its duration and invasiveness, and improves the survival rate of the KO mice when compared with the previously used intratracheal procedure.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".