The Role of Type I Interferon Signaling in Regulating Cytokine Production and Cell Survival in Bone Marrow-Derived Macrophages
Bibliographic record
Abstract
During viral infections, cells produce type I interferons (IFNs), which are detected by the IFNα/β receptor (IFNAR). To survive in hosts, viruses have strategies to downregulate IFN-mediated signaling. We hypothesized that macrophages, which are among the first myeloid cells to respond to viral infections, would produce a different cytokine profile if responding to ligation of pattern recognition receptors (PRRs) while IFNAR-mediated signaling was compromised. Specifically, IFNAR-mediated regulation of interleukin (IL)-1α, IL-6, IL-12, and tumor necrosis factor-α was studied in cultured murine bone marrow-derived macrophages. Since viruses like vesicular stomatitis virus can ligate PRRs such as Toll-like receptor (TLR)4 and 7, macrophages were stimulated with the TLR4 and TLR7 agonists lipopolysaccharide (LPS) or imiquimod, respectively, with or without antibody-mediated IFNAR-blockade. Cytokines and viability were assessed for 3 days poststimulation. Blocking IFNARs acutely exacerbated cytokine production by macrophages and aided their survival when they were treated with LPS. In contrast, cytokine concentrations were unaffected or slightly reduced by IFNAR blockade, but macrophages died at a greater rate when imiquimod was the stimulus. This demonstrated a differential role of IFNAR signaling in regulating PRR-induced cytokines. This suggests potential mechanisms whereby macrophages responding to viruses that inhibit type I IFN responses might contribute to excessive inflammation in some cases and inappropriately low-magnitude responses in others. This also provides a well-defined cell-based model for further dissecting the role of type I IFN signaling in macrophages responding to viral and other infections.
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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 | 0.000 | 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) | 0.000 | 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".