Virus induced airway hyperreactivity in allergen sensitized animals is mediated by immunological memory and is ablated by dexamethasone (55.14)
Bibliographic record
Abstract
Abstract Common cold viruses are the leading cause of asthma exacerbations. Why people with asthma develop such severe reactions is unclear. We hypothesize that it is not the severity of virus infection but the activation of memory T-cells and eosinophils, which cause the airway hyperreactivity (AHR). We have a model with virus memory T cells in allergen-sensitized guinea pigs (GP). GP are sensitized (i.p.) to ovalbumin (OVA) or not. All receive an inhaled OVA challenge. Some of each group are exposed once to parainfluenza virus (PIV) then, 6 weeks later, re-exposed to either live virus or UV-inactivated virus. Measurements of AHR (histamine i.v.), inflammation (BAL/histology), and T cell memory (BrdU incorporation ex vivo) are measured. Additionally some animals from each group were pre-treated with dexamethasone (DEX) (i.p.) before re-exposure to PIV. Both non-sensitized and OVA-sensitized GPs develop T cell memory to virus based on BrdU incorporation data from lymph node T cells. Unlike non-sensitized GP, OVA-sensitized GP show elevated numbers of eosinophils in the airways, except those pre-treated with DEX. Unlike non-sensitized GP, OVA-sensitized GP develop AHR upon re-exposure to UV-inactivated virus, which is prevented by DEX. GP can develop T cell memory to PIV. Upon re-exposure to PIV antigens, this T cell memory can cause AHR but only sensitized animals, which we believe is mediated by eosinophils. DEX prevents AHR in sensitized animals re-exposed to viral antigens.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".