Immunolocalisation of Burkholderia cepacia in the lungs of cystic fibrosis patients
Bibliographic record
Abstract
Infection by Burkholderia cepacia is sometimes fatal in patients with cystic fibrosis (CF), as the organism can cause necrotising pneumonia and septicaemia (the cepacia syndrome), and is resistant to antibiotics. To increase knowledge of the pathogenesis of lung infection, the present study investigated the distribution of B. cepacia in lung explants from nine CF recipients of double lung transplants, of which six were colonised with both B. cepacia and Pseudomonas aeruginosa and the other three with P. aeruginosa only. In one case, explants of the donor lung (allograft) became available after the patient succumbed post-operatively to the cepacia syndrome. Further autopsy sections were examined from two patients who had chronic and then acute infection with B. cepacia. A specific antibody reactive with all five genomovars of the B. cepacia complex and another antibody specific for the 22-kDa adhesin of cable pili, were used to localise bacteria in situ. In chronic infection, the organisms were diffusely distributed, but most concentrated in hyperplastic bronchiolar epithelium, inflamed peribronchial and perivascular areas, between adjacent airway epithelial cells and in pathologically thickened alveolar septae and luminal macrophages. In acute infections the distribution was more focal, with B. cepacia on injured airway surfaces and in sites of pneumonia and abscess formation. In autopsy sections from one of the patients with chronic, then acute infection, B. cepacia was also observed in the lumen of blood capillaries. These results suggest that B. cepacia has the capacity to be highly invasive, migrating from the airways across the epithelial barrier to invade the lung parenchyma and capillaries, thereby initiating septicaemia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".