Astrocytes recognize intracellular polyinosinic‐polycytidylic acid <i>via</i> MDA‐5
Bibliographic record
Abstract
RNA virus replication results in expression of double-stranded RNA (ds-RNA) molecules that trigger innate immune responses through interactions with both intracellular and extracellular receptors. We investigated the contributions of the extracellular and intracellular pathways to innate immunity in murine astrocyte primary cultures using polyinosinic-polycytidylic acid (poly I:C), a synthetic ds-RNA molecule designed to mimic RNA virus infection. Whereas extracellular poly I:C (naked poly I:C) mainly induced the expression of regulated on activation normal T-cell expressed and secreted (RANTES), interleukin-8 (IL-8), and tumor necrosis factor alpha (TNF-alpha), intracellular delivery of poly I:C (complexed poly I:C) chiefly induced expression of IFN-beta and IL-6. Experiments with astrocytes from Toll-like receptor 3 (TLR-3) knockout mice indicated that naked poly I:C signals via a TLR-3-dependent NF-kappaB pathway. Complexed poly I:C induced the expression of the intracellular ds-RNA sensor proteins, retinoic acid inducible gene I (RIG-I), and melanoma differentiation-associated gene 5 (MDA-5). However, transfection of astrocytes with dominant negative forms of the helicases implicated MDA-5, but not RIG-I, as the intracellular sensor of poly I:C. Complexed poly I:C-mediated MDA-5 stimulation transmitted "downstream" signals, resulting in activation of the transcription factors NF-kappaB and IRF-3. Our results illustrate the intricacy of extracellular and intracellular ds-RNA recognition in viral infections of the central nervous system and indicate the importance of MDA-5 helicase as an intracellular ds-RNA sensor in astrocytes.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".