Safety of Liver Surface Instillation of Plasmid DNA in Normal and Carbon Tetrachloride-Induced Hepatitis Mice
Bibliographic record
Abstract
PURPOSE: We previously demonstrated liver- and lobe-selective gene transfer following instillation of plasmid DNA (pDNA) onto the liver surface in mice. Safety concerns must be resolved prior to future clinical use. Thus, we investigated safety of liver surface instillation of pDNA in normal and hepatitis mice. METHODS: pDNA was instilled onto the liver surface in normal and carbon tetrachloride-induced hepatitis mice. Gene expression (luciferase activity) and serum transaminase activities were measured at appropriate time points. RESULTS: Transfection efficiency and target site selectivity were almost the same between the instillation of pDNA using a micropipette and a catheter. Serum transaminase activities 6 h after instillation of pDNA or a vehicle treatment using a micropipette were significantly higher than the no treatment mice, whereas instillation using a catheter did not raise serum transaminase activities throughout the tested time points, suggesting the safety of instillation using a catheter. This safety was also confirmed in hepatitis mice. A dose escalation study verified that liver surface instillation using a catheter did not raise serum transaminase at high doses with saturation of gene expression not only in normal mice, but also in hepatitis mice, supporting the safety of this method. CONCLUSIONS: We demonstrated that liver surface instillation of pDNA using a catheter did not raise serum transaminase activities. Information in this study will be useful for future clinical use of liver surface instillation of pDNA using a catheter.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".