Monocyte-Dependent Fibroblast CXCL8 Secretion Occurs in Tuberculosis and Limits Survival of Mycobacteria within Macrophages
Bibliographic record
Abstract
CXCL8 is a chemokine that is implicated in the formation of tuberculous (TB) granulomas and in immunity to Mycobacterium tuberculosis (Mtb). Fibroblast chemokine secretion is important for modulating inflammatory responses in chronic lung disease and inflammatory arthritis but has not been investigated in the pathophysiology of TB. In this study, we used a cellular model to examine monocyte/macrophage-dependent stimulation of fibroblasts by Mtb in the regulation of chemokine secretion, particularly that of CXCL8. Human lung fibroblasts grown in collagen were stimulated with conditioned medium from Mtb-infected monocytes (CoMTb). CoMTb-induced prolonged dose-dependent, p38-mediated expression of stable CXCL8 mRNA by fibroblasts accompanied by a >10-fold increase in CXCL8 secretion (487 +/- 88 ng/ml vs 48.6 +/- 34 ng/ml in controls) at 120 h. Fibroblasts strongly expressed CXCL8 in vivo in human TB granulomas. Inhibition of TNF-alpha or IL-1 in CoMTb abrogated the induction of CXCL8 at a pretranscriptional level. CXCL8 secretion was NF-kappaB, C/EBP, and JNK dependent. Sustained NF-kappaB activation was demonstrated beyond 24 h in response to CoMTb. Exogenous CXCL8 reduced the survival of Mtb within macrophages, and inhibition of CXCL8 was associated with intracellular mycobacterial proliferation. These data show that fibroblasts have a previously unrecognized role in modulating inflammation in TB by their CXCL8-dependent contribution to cell recruitment and mycobacterial killing within the granuloma.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".