Integrin‐linked kinase KO mice display abnormal liver histology and hepatomegaly following partial hepatectomy
Bibliographic record
Abstract
Hepatocyte proliferation and differentiation are greatly affected by extracellular matrix (ECM). Integrin‐linked Kinase (ILK) is a cell‐ECM‐adhesions component implicated in cell‐ECM signaling via integrins. We investigated the role of ILK in liver size regulation in vivo by utilizing the LoxP/Cre model system. Targeted deletion of ILK in mouse liver (ILK‐KO) resulted in histological abnormalities in the liver characterized by disorderly hepatic plates, increased hepatocyte proliferation and apoptosis, increased proliferation of biliary cells, and increased deposition of extracellular matrix soon after birth. Microarray analysis indicated upregulation of integrin and matrix‐related genes and a concurrent downregulation of differentiation‐related genes. Western blot analysis indicated change in the expression of many integrins in the liver including integrin β1, β3, β5, and αV. Furthermore, The liver‐targeted ILK‐KO mice had increased liver‐to body‐weight ratio and fail to return to normal liver weight following partial hepatectomy. This increase in liver size was due to prolonged cell proliferation observed in the ILK‐KO mice even at 14 days after partial hepatectomy. Our results highlight the significance of ILK and hepatic ECM‐signaling for hepatocyte proliferation and liver size regulation.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".