Active immunization against transforming growth factor beta1 prevents hepatic fibrosis in a rat model of liver disease
Bibliographic record
Abstract
Transforming growth factor beta1 (TGF-β1) plays an important role in hepatic fibrogenesis. In this study, we documented the effects of active immunization against TGF-β1 on hepatic fibrosis in an animal model of chronic liver disease. BALB/c mice were immunized against 3 different peptides of TGF-β1 ligated into hepatitis B virus core protein (HBVc). Titers of TGF-β1 antibodies were documented by enzyme linked immunoassays and antibody activity by cell membrane receptor binding and proliferation assays. The most immunogenic recombinant HBVc + TGF-β1 peptide (HBVc + C) then served as a vaccine in Sprague-Dawley rats with dimethylnitrosamine-induced chronic liver disease. Hepatic fibrosis was documented by serum hyaluronic acid levels, liver histology, and reverse transcriptase polymerase chain reaction for hepatic collagen I (α1) and smooth muscle alpha actin mRNA expression. Relative to control rats vaccinated with HBVc alone, recombinant HBVc + C vaccinated animals had significantly lower serum hyaluronic acid levels, less histologic evidence of hepatic fibrosis, and reduced expression of collagen I (α1) and smooth muscle alpha actin mRNA in the liver. The results of this proof-of-concept study suggest that active immunization against TGF-β1 is a worthwhile strategy to pursue in efforts to prevent hepatic fibrosis associated with chronic liver disease.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".