Application of in-vitro-cultured primary hepatocytes to evaluate species translatability and AAV transduction mechanisms of action
Bibliographic record
Abstract
Recombinant adeno-associated virus (AAV) is an effective platform for therapeutic gene transfer; however, tissue-tropism differences between species are a challenge for successful translation of preclinical results to humans. We evaluated the use of in vitro primary hepatocyte cultures to predict in vivo liver-directed AAV expression in different species. We assessed whether in vitro AAV transduction assays in cultured primary hepatocytes from mice, nonhuman primates (NHPs), and humans could model in vivo liver-directed AAV expression of valoctocogene roxaparvovec (AAV5-hFVIII-SQ), an experimental gene therapy for hemophilia A with a hepatocyte-selective promoter. Relative levels of DNA and RNA in hepatocytes grown in vitro correlated with in vivo liver transduction across species. Expression in NHP hepatocytes more closely reflected expression in human hepatocytes than in mouse hepatocytes. We used this hepatocyte culture model to assess transduction efficacy of a novel liver-directed AAV capsid across species and identified which of 3 different canine factor VIII vectors produced the most transgene expression. Results were confirmed in vivo . Further, we determined mechanisms mediating inhibition of AAV5-hFVIII-SQ expression by concomitant isotretinoin using primary human hepatocytes. These studies support using in vitro primary hepatocyte models to predict species translatability of liver-directed AAV gene therapy and improve mechanistic understanding of drug-drug interactions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".