Hepatic steatosis and inflammation: Role of western diet and lipoproteins
Bibliographic record
Abstract
Background: We have shown in our previous study in ApoE −/− mice that leukocyte recruitment within the liver precedes the development of steatosis. Our objective was to examine the role of fat and lipoproteins in the development of non‐alcoholic steatohepatitis. Methods: Wild type C57Bl/6 mice fed normal diet (WTND) or a western diet (WTWD), P‐selectin deficient mice fed western diet and LDLr deficient mice fed normal diet (LDLND) were studied. After 8 weeks, leukocyte endothelial cell interactions we determined by intra‐vital microscopy of the hepatic microcirculation. Results: Mice on the western diet had a significantly greater weight gain (217% vs. 154%). Only WTWD mice had leukocyte recruitment in the hepatic microcirculation with significantly greater number of rolling (7.0±0.4) and firmly adherent leukocytes (5.6±0.4) within the post‐sinusoidal venules. There was no sinusoidal leukocyte recruitment in any of the groups. Mice on the western diet also had a significant reduction in the number of flowing sinusoids compared to those fed normal diet (6.6±0.4 vs. 12.8±0.7). The microcirculation of LDLND mice was not different from WTND mice. Conclusion: Mice fed a western diet develop a LDL receptor dependent hepatic steatosis with a resultant decrease in sinusoidal density. Western diet‐induced hepatic leukocyte recruitment is P‐selectin dependent in the post‐sinusoidal venules.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".