Characterization of Anti-HIV Activity Mediated by R88-APOBEC3G Mutant Fusion Proteins in CD4 <sup>+</sup> T cells, Peripheral Blood Mononuclear Cells, and Macrophages
Bibliographic record
Abstract
In this study, we characterized the anti-HIV activities of various R88-APOBEC3G (R88-A3G) mutant fusion proteins in which each A3G mutant was fused with a virus-targeting polypeptide (R14-88, hereafter named R88) derived from HIV-1 Vpr. Our results show that the introduction of the deaminase-defective mutant E259Q into R88-A3G did not affect the virion incorporation of this mutant but blocked the protein's ability to inhibit HIV-1 infection. Our data also reveal that the antiviral effect of A3GY124A, a previously described A3G virus-packaging mutant, was completely rescued when the mutant was fused with R88. In an attempt to identify the most potent R88-A3G fusion proteins against HIV-1 infection, we introduced two Vif-binding mutants (D128K and P129A) into the R88-A3G fusion protein and showed that both R88-A3GD128K and R88-A3GP129A possessed very potent anti-HIV activity. When R88-A3GP129A was transduced into CD4(+) C8166 T cells, HIV-1 infection was completely abolished for at least 24 days. In an attempt to further test the anti-HIV effect of this mutant in primary human HIV susceptible cells, we introduced R88-A3GP129A into human peripheral blood mononuclear cells (PBMCs) and macrophages with a recombinant adeno-associated virus (rAAV2/5) vector. The results demonstrate that a significant inhibition of HIV-1 infection was observed in the transduced PBMCs and macrophages. These results provide evidence for the feasibility of an R88-A3G-based anti-HIV strategy. The further optimization of this system will contribute to the development of new anti-HIV gene therapy approaches.
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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) | 0.001 | 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 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".