Human Alveolar Macrophages Express Elafin and Secretory Leukocyte Protease Inhibitor
Bibliographic record
Abstract
Elafin and secretory leukocyte protease inhibitor (SLPI) are two structurally related serine protease inhibitors present in the lung. The cellular origin of elafin in the alveolar space is unknown. It has been suggested that at least one alveolar leukocyte population express elafin. We therefore postulated that the alveolar macrophage, as the most numerous leukocyte in the alveolar space, express elafin. On the other hand, it is unclear whether human alveolar macrophages are a source of SLPI. In the present study, we showed by RT-PCR that human alveolar macrophages, but not peripheral blood monocytes, express elafin and SLPI transcripts. Elafin, but not SLPI, mRNA expression was increased time dependently in alveolar macrophages stimulated with Saccharopolyspora rectivirgula antigen (50 microg/ml), a causative agent of hypersensitivity pneumonitis, but not LPS (10 microg/ml). Intracellular or cell-associated elafin protein accumulated after 24 h of culture only in S. rectivirgula antigen-stimulated alveolar macrophages as shown by Western blot. In contrast, alveolar macrophages release 50+/-6 pg/ml of SLPI in culture medium with no increase in function of time. Alveolar macrophages could be a source of elafin in the lung. In addition to lung structural cells, SLPI could also be derived from alveolar macrophages.
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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".