Liver Transplantation Studies Using a Canine Model: A Zoom on the Intermediate Filaments of the Cytoskeleton of the Hepatocytes
Bibliographic record
Abstract
Acute and chronic liver failure can be tackled using liver transplantation. Graft dysfunction is still a challenge in 21<sup>st</sup> century. It affects up to one-third of the recipients, notwithstanding good to excellent long-term outcome have been reported. At the time of the writing of this chapter, the etiologic investigation of the organ dysfunction has revealed a multifactorial background. Despite the multifactorial causes, ischemia and reperfusion (I/R) injury is probably the most important contributing factor for organ dysfunction. Cholestasis, i.e., the stoppage or reduction of bile flow with or without bile duct loss or ductopenia and biliary ductular proliferations are frequent accompanying factors in I/R injury. However, they can be misleading, and they can also be present in other graft dysfunction conditions. Biliary marker levels increase usually as early as 5 days after transplantation. In this chapter, we reviewed a liver transplantation model as I/R injury model to study in detail the intermediate filaments of the cytoskeleton. We indicate that the phenotypic switch of the hepatocytes occurs earlier than frank cholestasis. We suggest that targeting this phenotypical switch of the liver cells may contribute to the savage or better outcome of the liver graft.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.001 | 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 teacher head, 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".