ADAR1 orchestrates the ZBP1-mediated PANoptosis and heart transplant rejection
Bibliographic record
Abstract
Abstract Background PANoptosis is an integrated form of cell death that combines features of pyroptosis, apoptosis, and necroptosis and is regulated by a complex network of signaling proteins. The roles of ADAR1 (adenosine deaminase acting on RNA 1) and RIPK1 (receptor-interacting serine/threonine-protein kinase 1) in orchestrating the ZBP1 (Z-DNA binding protein 1)-RIPK3 complex to mediate PANoptosis is not fully understood, particularly in the context of heart transplantation. Objective This study investigated how ADAR1 and RIPK1 coordinate the activation of the ZBP1-RIPK3 complex to mediate PANoptosis and its implications in mouse heart transplantation. Methods Using both in vitro and in vivo models, we analyzed the interactions between ADAR1, RIPK1, ZBP1, and RIPK3. We employed western blotting, and siRNA to elucidate the dynamics of these interactions. Additionally, we assessed the impact of ZBP1 on mouse heart transplantation outcomes. Results Our studies revealed that ADAR1 regulates the activation of the ZBP1-RIPK3 complex for PANoptosis. The interaction of ADAR1 with ZBP1 protected against Z-DNA-induced cell death by limiting activations of ZBP1 and RIPK3. In mouse heart transplantation study, we found that ZBP1 and its ligand Z-DNA/Z-RNA were significantly increased in the graft post-transplantation. Furthermore, ZBP1 deficiency in the heart graft inhibited cardiac PANoptosis, attenuated acute graft injury, and induced long-term graft survival. Conclusion This study elucidates the role of ADAR1 in ZBP1-mediated PANoptosis. Inhibition of ZBP1 can prevent heart graft injury and rejection. Understanding these mechanisms provides valuable insights into the regulation of cell death and may inform the development of novel therapeutic strategies to improve transplant outcomes.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".