In vitro and in vivo cleavage of HIV-1 RNA by new SOFA-HDV ribozymes and their potential to inhibit viral replication
Bibliographic record
Abstract
RNA-based compounds are promising agents to inactivate viruses. New specific hepatitis delta virus (HDV)-derived ribozymes are natural molecules that can be engineered to specifically target a viral RNA. We have designed specific on-off adaptor (SOFA)-HDV ribozymes targeting the tat and rev sequences of the human immunodeficiency virus type 1 (HIV-1) RNA. We show that the SOFA-HDV ribozymes cleave their RNA target in vitro. They inhibit the Tat-mediated transactivation of HIV-1 from 62% to 86% in different assays. In vivo, the amount of HIV RNA was decreased by 60 and 86% with two distinct ribozymes, which indicates that the inhibition of HIV production is directly correlated to the decline in spliced and unspliced viral RNAs. These SOFAHDV- ribozymes inhibited the expression and the viral production of four HIV-1 strains, indicating an extended potential to act on multiple HIV variants. In HEK 293T and HeLa cells transfected with pNL4-3 and the SOFA-HDV-ribozymes, the reduced RNA levels consequently decreased the Gag protein expression in the cell and virus production in the supernatant. When transfected before HIV-1 infection, the ribozymes prevented the incoming virus from being expressed. The ribozymes inhibited HIV production up to 90% when transfected in combination with the HIV protease inhibitor Atazanavir. Our results strongly suggest that SOFA-HDV ribozymes have a great potential to target HIV-1 and to be used as therapeutic agents in combination therapy.
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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) | 0.000 | 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".