Primary cultures of human hepatocytes isolated from hepatitis C virus‐infected cirrhotic livers as a model to study hepatitis C infection
Bibliographic record
Abstract
BACKGROUND/AIM: Since the discovery of hepatitis C virus (HCV), researchers have encountered difficulties with in vitro models. The aim of this study was to determine whether HCV-infected human primary hepatocytes, isolated from cirrhotic livers at liver transplantation, can be used as a model to study HCV infection. METHODS: Hepatocytes were isolated with collagenase and cultured over a 20-day period on different matrices. Viral kinetics was monitored with/without treatment by real-time polymerase chain reaction. RESULTS: Cell yield and viability were higher with uninfected/non-cirrhotic livers (77.2+/-1.8%) in comparison with HCV-infected cirrhotic livers (68.8+/-12%). HCV-infected hepatocytes behaved similar to non-infected cells and expressed albumin and cytochrome P4502E1. HCV-positive strand was identified in supernatants and cell lysates. HCV-negative strand was only found inside cells and correlated with viral RNA recovery in the medium. Improvement in the degree of hepatocyte differentiation was associated with better HCV recovery. Antiviral treatment with interferon-alpha, EX4 and cyclosporine A induced significant reductions in HCV RNA. CONCLUSION: Primary cultures of HCV-infected human hepatocytes from end-stage cirrhotic livers is feasible, represents an excellent model to study specific virus-host interactions and can be used to assess viral replication.
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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 | 0.000 | 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) | 0.002 | 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".