O papel da sinalização do eixo C5a/C5aR1 na fisiopatologia COVID-19
Bibliographic record
Abstract
Patients with severe COVID-19 develop acute respiratory distress syndrome (ARDS) that can progress to cytokine storm, organ dysfunction, consequently death.Considering that complement system factor 5a (C5a), through its cellular receptor C5aR1, exhibits potent pro-inflammatory actions, and plays immune and pathological roles in inflammatory diseases, we investigated whether the C5a/C5aR1 pathway might be involved in the pathophysiology of COVID-19.C5a/C5aR1 signaling increased locally in the lung, especially in neutrophils of severely ill patients with COVID-19 compared to patients with influenza pneumonia, supporting this previous data the lung of K18-hACE2 mice (Tg mice, susceptible to infection) infected with SARS-COV-2 showed increased C5a.Genetic and pharmacological inhibition of C5aR1 signaling improved lung immunopathology in infected mice.Mechanistically, C5aR1 signaling in the context of infection was found to drive the release of extracellular neutrophil trapping (NETs).These data confirm the pathophysiological role of the C5a/C5aR1 axis in amplifying inflammation in COVID-19 and propose as a therapeutic alternative to antagonize C5aR1.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".