Preclinical Assessment of Mutant Human TRIM5α as an Anti-HIV-1 Transgene
Bibliographic record
Abstract
Current HIV-1 gene therapy approaches aim at stopping the viral life cycle at its earliest steps, such as entry or immediate postentry events. Among the most widely adopted strategies are CCR5 downregulation/knockout and the use of broadly neutralizing antibodies. However, the long-term efficacy and side effects are still unclear. TRIM5α is an interferon-stimulated restriction factor that can intercept incoming retroviruses within one hour of cytosolic entry and potently inhibit the infectivity of restriction-sensitive viruses. The human TRIM5α (TRIM5αhu) generally does not efficiently target HIV-1, but point mutations in its capsid-binding domain can confer anti-HIV-1 activity. Although the mechanisms by which TRIM5αhu mutants inhibit HIV-1 are relatively well understood, their characterization as potential transgenes for gene therapy is lacking. Additionally, previous reports of general immune activation by overexpression of TRIM5α have hindered its broad adoption as a potential transgene. Here we demonstrate the ability of the R332G-R335G TRIM5αhu mutant to efficiently restrict highly divergent HIV-1 strains, including Group O, as well as clinical isolates bearing cytotoxic T lymphocyte escape mutations. R332G-R335G TRIM5αhu efficiently protected human lymphocytes against HIV-1 infection, even when expressed at relatively low levels following lentiviral transduction. Most importantly, under these conditions Rhesus macaque TRIM5α (TRIM5αRh) and TRIM5αhu (wild-type or mutated) had no major effects on the NF-κB pathway. Transgenic TRIM5α did not modulate the kinetics of IκBα, JunB, and TNFAIP3 expression following TNF-α treatment. Finally, we show that human lymphocytes expressing R332G-R335G TRIM5αhu have clear survival advantages over unmodified parental cells in the presence of pathogenic, replication-competent HIV-1. These results support the relevance of R332G-R335G and other mutants of TRIM5αhu as candidate effectors for HIV-1 gene therapy.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".