Neutrophils and Intravascular Immunity in the Liver during Infection and Sterile Inflammation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it