Neutrophils and Intravascular Immunity in the Liver during Infection and Sterile Inflammation
Bibliographic record
Abstract
The liver is a target of many inflammatory pathologies of both infectious and noninfectious etiology. As key effectors of the innate immune system, neutrophils are critical for defense against microbial infections but are often the source of profound collateral damage to host tissues during disease states. In this article based on the authors' presentation at the 2011 Society of Toxicologic Pathology Annual Symposium, they review the molecular mechanisms of neutrophil recruitment to the liver in response to sepsis/endotoxemia, as well as sterile inflammation, and discuss variations in the molecular choreography of neutrophil trafficking in response to these different insults. Furthermore, the authors discuss the functional contributions of neutrophils within the liver microvasculature during severe sepsis, including their contributions to both host defense and organ damage. Given that inappropriate neutrophilic inflammation contributes to the pathogenesis of many liver diseases, a thorough understanding of the molecular mechanisms that regulate the recruitment of neutrophils to the liver, and their functions therein, may reveal new avenues for therapeutic interventions to treat inflammatory liver pathologies.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".