Initial infectious dose dictates the innate, adaptive, and memory responses to influenza in the respiratory tract
Bibliographic record
Abstract
Factors from the virus and the host contribute to influenza virus pathogenicity and to the development of immunity. This study thoroughly examined the effects of an initial infectious dose of virus and unveiled new findings concerning the antiviral and inflammatory responses, innate and adaptive immunity, memory responses, and protection against secondary heterologous infection. Our results demonstrated that the initial infectious dose significantly affects the gene expression of antiviral (IFN-β) and inflammatory (TNF-α, IL-6, IL-1β) cytokines and of enzymes involved in nitrosative/oxidative stress (iNOS, HO-1, NQO1) early in the response to influenza. This response correlated with significantly increased recruitment of innate immune cells into the lungs of infected mice. We showed that this response also alters the subsequent accumulation of activated IFN-γ(+) CD44(hi) CD62L(lo) influenza-specific CD8(+) T cells into the lungs of infected mice through increased T cell-recruiting chemokine gene expression (CCL3, CCL4, CCL5, CXCL10). Furthermore, we demonstrated that the initial infectious dose determines the generation and the distribution of memory CD8(+) T cell subsets without affecting trafficking mechanisms. This impacted on immune protection against heterologous infection. Lastly, we showed that the effects on innate and adaptive immunity were not dependent on influenza strain or on the genetic background of the host. Collectively, our data show for the first time and in detail that the initial infectious dose of influenza determines the development of several aspects of antiviral immunity. This study provides new insights on virus-host interaction in the generation of the global immune response to influenza.
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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 | 0.004 | 0.003 |
| 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) | 0.000 | 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".