Effective control of viral infections by the adaptive immune system requires assistance from innate immunity
Bibliographic record
Abstract
Evaluation of: Nakayama Y, Plisch EH, Sullivan JM et al. Role of PKR and type I IFNs in viral control during primary and secondary infection. PLoS Pathog. 6(6), e1000966 (2010). During acute viral infections, innate antiviral immunity has been extensively studied for its ability to inhibit and/or control viral replication while priming the adaptive immune system. Recently, these processes have been studied for their role in assisting adaptive immunity to effectively clear or control viral rechallenge. The paper under evaluation introduces the concept that functional innate immune mechanisms such as dsRNA-activated protein kinase (PKR) and type I interferons are critical in controlling viral replication during secondary lymphocyte choriomeningitis virus infection. Elegant adoptive transfer studies revealed that during lymphocyte choriomeningitis virus secondary infections, dependence of viral control relied on expression of these innate factors in virally infected cells and not in adaptive immune T cells. Such findings illustrate that functional adaptive responses are less effective in providing protection against reinfections in the absence of innate mechanisms. This demonstrates the importance of intact innate mechanisms when considering effective vaccine strategies.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 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".