Kupffer Cell Aggregation and Perivenular Distribution in Steatohepatitis
Bibliographic record
Abstract
Cytokine release from inflammatory cells, endotoxin, lipid peroxidation, and generation of reactive oxygen species are among the factors currently thought to be important in the pathogenesis of alcoholic and nonalcoholic steatohepatitis (SH). To more fully evaluate the role of mononuclear inflammatory cells in SH, 11 needle liver biopsies showing SH were selected for immunohistochemical staining to analyze the type and distribution of mononuclear inflammatory cells, including T and B lymphocytes and Kupffer cells (using immunostains for CD3, CD4, CD8; CD20; and CD68, respectively). An additional seven biopsies showing normal or fatty liver were also selected for CD68 immunostaining. Immunohistochemistry showed mild to moderate (1+ to 2+) numbers of T cells, with equal representation of CD4 and CD8 cells. T cells were found in portal tracts and in regions of SH. B cells were only rarely present. CD68 staining of simple fatty liver and normal liver showed elongated, spindle-shaped Kupffer cells diffusely distributed along the sinusoids throughout the lobules. In contrast, in cases of SH, there was prominent enlargement and aggregation of Kupffer cells in perivenular regions. Scattered large vacuoles of fat that had appeared to be within hepatocytes on routine stain were found actually to be within Kupffer cells. These results support the concept that hepatic Kupffer cells are a major immune effector cell in the pathogenesis of steatohepatitis. A potential direct Kupffer cell role in hepatic lipid processing is also postulated.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".