ACTIVATION OF THE MITOCHONDRIAL ANTIVIRAL SIGNALING PROTEIN (MAVS) FOLLOWING LIVER ISCHEMIA/REPERFUSION AND ITS EFFECT ON INFLAMMATION AND INJURY
Bibliographic record
Abstract
ABSTRACT: Resuscitation of trauma patients after hemorrhagic shock causes global I/R, which may contribute to organ dysfunction. Oxidative stress resulting from I/R is known to induce signaling pathways leading to the production of inflammatory molecules culminating in organ dysfunction/injury. Our recent work demonstrated that oxidative stress was able to induce activation of the mitochondrial antiviral signaling protein (MAVS), a protein known to be involved in antiviral immunity, in an in vitro model. We therefore hypothesized that the MAVS pathway might be involved in I/R-induced inflammation and injury. The present studies show that MAVS is activated in vivo by liver I/R and in vitro in RAW 264.7 cells by hypoxia/reoxygenation (H/R). We utilized both in vivo (liver I/R in MAVS knockout mice) and in vitro (MAVS siRNA in RAW 264.7 cells followed by H/R) models to study the role of MAVS activation on downstream events. In vivo , we demonstrated augmented injury and inflammation in MAVS knockout mice compared with wild-type animals; as shown by increased hepatocellular injury, induction of hepatocyte apoptosis augmented plasma TNF-α levels. Further, in vitro silencing of MAVS by specific siRNA in RAW 264.7 and exposure of the cells to H/R caused activation of mitophagy. This may represent a compensatory response to increased liver inflammation. We conclude that activation of MAVS by hypoxia/reoxygenation dampens inflammation, potentially suggesting a novel target for intervention.
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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".