Vagal TRPV1 <sup>+</sup> sensory neurons protect against influenza virus infection by regulating lung myeloid cell dynamics
Bibliographic record
Abstract
Influenza viruses are a major global cause of morbidity and mortality. Although vagal TRPV1 + nociceptive sensory neurons are known to mediate defenses against harmful agents, including pathogens, their function in lung antiviral defenses remains unclear. Our study demonstrates that both systemic and vagal-specific ablation of TRPV1 + nociceptors reduce survival in mice infected with influenza A virus (IAV). Despite no difference in viral load, mice lacking TRPV1 + neurons exhibited increased viral spread, exacerbated lung pathology, and elevated levels of proinflammatory cytokines. Loss of TRPV1 + neurons altered the lung immune landscape, including an expansion of neutrophils and monocyte-derived macrophages. Transcriptional analysis revealed impaired interferon signaling in myeloid cells and an imbalance in distinct neutrophil subpopulations in the absence of nociceptors. Furthermore, antibody-mediated depletion of myeloid cells during IAV infection substantially improved survival after nociceptor ablation, underscoring the role of TRPV1 + neurons in preventing pathogenic myeloid cell states that contribute to IAV-induced mortality.
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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 | 0.001 |
| 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".