Toll-Like Receptor 4-Mediated Activation of p38 Mitogen-Activated Protein Kinase Is a Determinant of Respiratory Virus Entry and Tropism
Bibliographic record
Abstract
Respiratory viruses exert a heavy toll of morbidity and mortality worldwide. Despite this burden there are few specific treatments available for respiratory virus infections. Since many viruses utilize host cell enzymatic machinery such as protein kinases for replication, we determined whether pharmacological inhibition of kinases could, in principle, be used as a broad antiviral strategy for common human respiratory virus infections. A panel of green fluorescent protein (GFP)-expressing recombinant respiratory viruses, including an isolate of H1N1 influenza virus (H1N1/Weiss/43), was used to represent a broad range of virus families responsible for common respiratory infections (Adenoviridae, Paramyxoviridae, Picornaviridae, and Orthomyxoviridae). Kinase inhibitors were screened in a high-throughput assay that detected virus infection in human airway epithelial cells (1HAEo-) using a fluorescent plate reader. Inhibition of p38 mitogen-activated protein kinase (MAPK) signaling was able to significantly inhibit replication by all viruses tested. Therefore, the pathways involved in virus-mediated p38 and extracellular signal-regulated kinase (ERK) MAPK activation were investigated using bronchial epithelial cells and primary fibroblasts derived from MyD88 knockout mouse lungs. Influenza virus, which activated p38 MAPK to approximately 10-fold-greater levels than did respiratory syncytial virus (RSV) in 1HAEo- cells, was internalized about 8-fold faster and more completely than RSV. We show for the first time that p38 MAPK is a determinant of virus infection that is dependent upon MyD88 expression and Toll-like receptor 4 (TLR4) ligation. Imaging of virus-TLR4 interactions showed significant clustering of TLR4 at the site of virus-cell interaction, triggering phosphorylation of downstream targets of p38 MAPK, suggesting the need for a signaling receptor to activate virus internalization.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".