Respiratory virus-induced bacterial dysregulation in pediatric airway tissue and the dual actions of Echinacea in reducing complications
Bibliographic record
Abstract
Introduction Respiratory tract infections (RTIs) contribute to pediatric morbidity and are often complicated by viral-bacterial superinfections, which exacerbate disease severity and increase antibiotic use. This study examined viral-induced bacterial adhesion in an ex vivo pediatric airway model and the therapeutic potential of Echinacea purpurea extract. Methods EpiAirway tissue from a 6-year-old boy was infected with respiratory syncytial virus (RSV), human parainfluenza virus type 3 (HPIV3), or rhinovirus 14 (RV14). Adhesion of Haemophilus influenzae type b (Hib) and Streptococcus pneumoniae (S. pneumoniae) was assessed alongside the expression of platelet-activating factor receptor (PAFr), intercellular adhesion molecule-1 (ICAM-1), and carcinoembryonic antigen-related cell adhesion molecule-1 (CEACAM-1). Echinaforce® (EF extract) was tested for its effect on bacterial dysregulation. Results RSV and HPIV3 increased bacterial adhesion by upregulating PAFr, ICAM-1, and CEACAM-1. Hib adhered primarily via ICAM-1, while S. pneumoniae favored PAFr. RV14 strongly induced CEACAM-1 but did not cause significant bacterial dysregulation. EF significantly reduced virus-induced receptor overexpression, resulting in inhibition of bacterial adhesion and biofilm-like formation. Conclusion Our findings provide a mechanistic explanation for the observed effects of E. purpurea in reducing RTI complications and the need for antibiotic prescriptions in clinical settings.
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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) | 0.002 | 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".