Transcriptional Mechanisms Regulating Alveolar Epithelial Cell-specific CCL5 Secretion in Pulmonary Tuberculosis
Bibliographic record
Abstract
CCL5 (or RANTES (regulated upon activation, normal T cell expressed and secreted)) recruits T lymphocytes and monocytes. The source and regulation of CCL5 in pulmonary tuberculosis are unclear. Infection of the human alveolar epithelial cell line (A549) by Mycobacterium tuberculosis caused no CCL5 secretion and little monocyte secretion. Conditioned medium from tuberculosis-infected human monocytes (CoMTB) stimulated significant CCL5 secretion from A549 cells and from primary alveolar, but not upper airway, epithelial cells. Differential responsiveness of small airway and normal human bronchial epithelial cells to CoMTB but not to conditioned medium from unstimulated human monocytes was specific to CCL5 and not to CXCL8. CoMTB induced CCL5 mRNA accumulation in A549 cells and induced nuclear translocation of nuclear factor kappaB (NFkappaB) subunits p50, p65, and c-rel at 1 h; nuclear binding of activator protein (AP)-1 (c-Fos, FosB, and c-Jun) at 4-8 h; and binding of NF-interleukin (IL)-6 at 24 h. CCL5 promoter-reporter analysis using deletion and site-specific mutagenesis constructs demonstrated a key role for AP-1, NF-IL-6, and NFkappaB in driving CoMTB-induced promoter activity. The IL-1 receptor antagonist inhibited A549 and small airway epithelial cell CCL5 secretion, gene expression, and promoter activity. CoMTB contained IL-1beta, and recombinant IL-1beta reproduced CoMTB effects. Monocyte alveolar, but not upper airway, epithelial cell networks in pulmonary tuberculosis cause AP-1-, NF-IL-6-, and NFkappaB-dependent CCL5 secretion. IL-1beta is the critical regulator of tuberculosis-stimulated CCL5 secretion in the lung.
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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 | 0.001 | 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".