Human airway epithelial cells produce IP-10 (CXCL10) in vitro and in vivo upon rhinovirus infection
Bibliographic record
Abstract
Human rhinovirus (HRV) infections trigger exacerbations of asthma and chronic obstructive pulmonary disease (COPD) and are associated with lymphocytic infiltration of the airways. We demonstrate that infection of primary cultures of human airway epithelial cells, or of the BEAS-2B human bronchial epithelial cell line, with human rhinovirus type 16 (HRV-16) induces expression of CXCL10 [IFN-gamma-inducible protein 10 (IP-10)], a ligand for the CXCR3 receptor found on activated type 1 T lymphocytes and natural killer cells. IP-10 mRNA reached maximal levels 24 h after HRV-16 infection then declined, whereas protein levels peaked 48 h after infection with no subsequent new synthesis. Cytosolic levels of AU-rich factor 1, a protein associated with mRNA destabilization, increased beginning 24 h after HRV-16 infection. Generation of IP-10 required virus capable of replication but was not dependent on prior induction of type 1 interferons. Transfection of synthetic double-stranded RNA into epithelial cells induced robust production of IP-10, whereas transfection of single-stranded RNA had no effect. Induction of IP-10 gene expression by HRV-16 depended upon activation of NF-kappaB, as well as other transcription factor recognition sequences further upstream in the IP-10 promoter. In vivo infection of human volunteers with HRV-16 strikingly increased IP-10 protein in nasal lavages during symptomatic colds. Levels of IP-10 correlated with symptom severity, viral titer, and numbers of lymphocytes in airway secretions. Thus IP-10 may play a role in the pathogenesis of HRV-induced colds and in HRV-induced exacerbations of COPD and asthma.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".