Discovering Causal Mechanistic Pathways in Sepsis-associated Acute Respiratory Distress Syndrome
Bibliographic record
Abstract
neutrophils and occlude the pulmonary vasculature in a caspase 1-and IL-1-dependent manner.These findings are intriguing because they shed new light on platelet-derived EVs in SCD and link platelet-derived EVs to previously described roles of platelet-neutrophil aggregates in ACS.The authors postulate that platelet EVs may potentiate the formation of heterotypic platelet-neutrophil aggregates, resulting in additional EV shedding in a positive feedback loop.These investigations also bring to light the potential that additional TLRs may contribute to activation of the inflammasome, platelet EV shedding, and the formation of platelet-neutrophil aggregates in SCD, an important area for further investigation.For example, TLR9 is known to bind free heme (generated during hemolysis, a prominent feature of SCD).Gram-positive bacteria and porins (components of encapsulated organism cell walls) are ligands for TLR2.Thus, additional TLRs could be targets for future investigations.In addition, the role of EVs derived from red blood cells and endothelial cells in driving vaso-occlusive crisis remains incompletely understood.Finally, these findings indicate that inhibiting the shedding of platelet EVs may be of therapeutic benefit in SCD, particularly with regard to prevention or treatment of ACS.Indeed, these novel data may function as a catalyst to employ pharmacologically available inhibitors of IL-1B (anakinra), TLR4 (eritoran), and caspase 1 (VX-765) in clinical trials of vaso-occlusive crisis in patients with SCD.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".