MicroRNA-25/93 induction by Vpu as a mechanism for counteracting MARCH1-restriction on HIV-1 infectivity in macrophages
Bibliographic record
Abstract
ABSTRACT The type 1 interferon-regulated E3 ubiquitin ligase MARCH1 reduces surface expression of HIV-1 envelope glycoproteins (Env) and their packaging into nascent virions, a condition that restricts viral infectivity. However, how HIV-1 counters this restriction, notably during infection of macrophages, remains unclear. Here, we show that the HIV-1 accessory protein Vpu increases the levels of microRNAs-25 and -93 to target MARCH1 mRNA. By recruiting β-TRCP, a component of the SCF β-TRCP E3 ligase complex that targets phosphorylated β-catenin for degradation, Vpu increases β-catenin levels, which, in concert with TCF4/LEF, drives transcription of the MARCH1 -targeting microRNAs. This potentiates HIV-1 infectivity as a result of increased Env incorporation into nascent virions. Pharmacological targeting of the β-catenin pathway inhibits Vpu-mediated upregulation of microRNAs-25 and -93 and restores MARCH1 restriction on HIV-1 infectivity. Overall, our findings highlight a novel mechanism by which HIV-1 counteracts MARCH1 by downregulating its expression via Vpu-mediated induction of microRNAs-25 and -93. IMPORTANCE In order to efficiently produce infectious viral particles, HIV must counter several restrictions exerted by host cell antiviral proteins. MARCH1 is a member of the MARCH protein family that restricts HIV infection by limiting the incorporation of viral envelope glycoproteins into nascent virions. Here, we identified two regulatory RNAs, microRNAs-25 and -93, induced by the HIV-1 accessory protein Vpu, that downregulate MARCH1 mRNA. We also show that Vpu induces these cellular microRNAs in macrophages by hijacking the cellular β-catenin pathway. The notion that HIV-1 has evolved a mechanism to counteract MARCH1 restriction on viral infectivity underlines the importance of MARCH1 in the host antiviral response.
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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 | 0.000 | 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 | 0.001 |
| 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".