Characterization of mechanisms of liver injury and repair in chronic liver disease
Bibliographic record
Abstract
Chronic liver disease is a common diagnosis in dogs, but aside from well-described breed-specific copper storage hepatopathy, little is known about the underlying etiologies or pathogenesis of most forms of canine chronic liver injury. This study uses a modification of Ishak's grading and staging scheme to establish a standardized method of histologic examination of H&E-stained liver biopsy specimens from 45 case dogs with chronic liver disease and 55 healthy control dogs. Intraobserver repeatability and interobserver agreement of the grading/staging scheme were substantial. The Ishak score for grade of necroinflammatory activity was strongly correlated (using Spearman correlation coefficients) with total serum bilirubin (SCC=0.58), an index of Ki-67 immunoreactivity (SCC=0.57), an index of cleaved caspase-3 immunoreactivity (SCC=0.51), iron staining (SCC=0.61), scoring for hepatic eNOS immunoreactivity (SCC=0.64) (in hepatocytes, lobular, portal and septal stroma cells), scoring for iNOS imunoreactivity (SCC=0.64) (particularly in lobular, portal, and septal stromal cells), and diffuse hepatocellular malondialdehyde-protein adduct immunoreactivity (SCC=0.65). Weak positive correlation was found with Perl's staining for copper (SCC=0.39), and weak negative correlation with alpha-smooth muscle actin immunoreactivity within perisinusoidal hepatic stellate cells (SCC=-0.34). The Ishak score for stage of fibrosis was strongly correlated with Masson's trichrome collagen staining (SCC=0.90), and upregulated von Willebrand's factor immunoreactivity (vWF) within lobular sinusoidal endothelial cells (SCC=0.57); a weak correlation was identified with malondialdehyde-protein adducts within Kupffer cells (SCC=0.29). No significant correlations were noted between malondialdehyde-protein adduct immunoreactivity and histochemically detected iron or copper. These findings indicate that a modification of a standardized histologic evaluation scheme for assessing chronic liver disease in humans can be applied to liver biopsies of dogs, although clinical utility requires further investigation. The scheme may have utility in further research. These studies also demonstrate changes in sinusoidal endothelial vWF immunoreactivity, oxidative stress and nitric oxide synthase isoform expression in chronic liver disease of dogs.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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".