Oxidative stress leads to severe phenotypes in sepsis through activation of NLRP3-pyroptosis
Bibliographic record
Abstract
Oxidative stress is an important contributor to sepsis and one of the most important causes of death in intensive care units. Even though sepsis pathogenesis remains obscure due to its heterogenicity and complexity, there is increasing evidence that oxidants and antioxidants play a key role in its onset and progression. Recent evidence suggests that pyroptosis is required for defense against bacterial infection, and it is active in several cell types during sepsis. One of the most relevant mediators of pyroptosis is the NLRP3 inflammasome, and the oxidative stress/NLRP3 signaling pathway is one of the main upstream signals involved in its activation. So, it is of special relevance to clarify how oxidative stress and antioxidants can modulate pyroptosis signals and therefore decrease the deleterious effects that both oxidative stress and pyroptosis-related cytokines can induce in the tissues during sepsis. Recent studies evaluating several antioxidants are promising, but further trials are needed to confirm their potential role as agents to block NLRP3 and mitigate the exacerbated inflammasome-related responses during sepsis.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".