p38MAPK guards the integrity of endosomal compartments through regulating necrotic death
Bibliographic record
Abstract
Pathogens trigger activation of sensors of the innate immune system that initiate molecular signaling enabling appropriate host defense programs. Although recognition of pathogen-specific moieties or PAMPs by specialized receptors of the immune system is well defined for a great number of pathogens, the mechanisms of sensing of pathogen-induced functional perturbations to the host cell remain poorly understood. Here we show that the disruption of endosomal compartments in macrophages by a bacterium or fully synthetic nanoparticles activates stress-response p38MAPK kinase, which triggers execution of cell death of a necrotic type. p38MAPK-mediated necrosis occurs in cells with a compound homozygous deletion of pyroptosis-inducing caspases-1 and -11, apoptotic caspase-8, and necroptosis-inducing receptor-interacting protein kinase-3 (RIPK3), indicating that all of these principal cell death mediators are dispensable for p38MAPK-induced necrosis in response to endosome rupture. p38MAPK-mediated necrosis is suppressed by the receptor-interacting protein kinase 1, RIPK1, and degradation of RIPK1 sensitizes macrophages to necrotic death. Since pathogen-induced cell death of necrotic types is implicated in host defense against infection, our results indicate that functional perturbations in host cells are sensed as a component of the innate immune system.
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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 | 0.000 |
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 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".