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Record W4416594434 · doi:10.1128/jvi.01663-25

HIV-2 glycoproteins upregulate microRNAs 25 and 93 to counter the MARCH1 antiviral effect in macrophages

2025· article· en· W4416594434 on OpenAlexafffund
Robert Lodge, Dorota Kmieć, Frank Kirchhoff, Éric A. Cohen

Bibliographic record

VenueJournal of Virology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversité de MontréalMontreal Clinical Research Institute
FundersCanadian Institutes of Health ResearchNational Institutes of HealthUniversité de Montréal
KeywordsLentivirusDownregulation and upregulationmicroRNAGlycoproteinViral replicationSimian immunodeficiency virusViral envelopeVirus

Abstract

fetched live from OpenAlex

ABSTRACT The membrane-associated E3 ubiquitin ligase MARCH1 restricts HIV-1 infectivity by decreasing the amount of cell surface Env glycoproteins and their incorporation into progeny virions. To circumvent this restriction, the HIV-1 accessory protein Vpu increases the levels of microRNAs 25 and 93 that target MARCH1 RNA. Mechanistically, Vpu interaction with the β-TrCP substrate receptor of the SCF β-TrCP E3 ligase, a host partner critical for Vpu functions, leads to a stabilization of SCF β-TrCP cellular targets, such as β-catenin, which drives transcription of the MARCH1 -targeting microRNAs. Here, we show that HIV-2 and SIVmac239, which do not encode for Vpu, also upregulate microRNAs 25 and 93 in macrophages, as well as in the macrophage-like THP-1 cell line model. Inhibiting the MARCH1 mRNA-targeting microRNAs impaired HIV-2 infectivity and reduced viral spread in macrophages. While none of the HIV-2 accessory proteins upregulated microRNAs 25 and 93, the Env glycoproteins of HIV-2 and SIVmac239 were sufficient to induce their expression. Depletion of β-TrCP-1 and 2 or pharmacological inhibition of β-catenin in THP-1 cells revealed that Env-mediated upregulation of microRNA 25 and 93 is β-TrCP dependent and involves β-catenin, similar to Vpu. Our findings highlight a new function of the HIV-2 and SIVmac239 glycoproteins as inducers of microRNAs 25 and 93 that counteract MARCH1 and potentiate viral replication in macrophages. IMPORTANCE Macrophage infection by primate lentiviruses (HIV-1, HIV-2, and SIV) is restricted by, among other host factors, the MARCH1 membrane-associated protein. HIV-1 circumvents the MARCH1 restriction by using its accessory protein Vpu, which induces the anti-MARCH1 microRNAs 25 and 93. HIV-2 has infected up to 2 million people so far, and SIV infection is indispensable for animal models of primate lentivirus pathogenesis. These two lentiviruses do not have a vpu gene, but also target MARCH1 by inducing the same microRNAs. We have now determined that the HIV-2 and SIV antagonists of MARCH1 are their envelope glycoproteins. The HIV-2 and SIVmac239 Env glycoproteins upregulate microRNAs 25 and 93 by disrupting the β-catenin pathway, similar to HIV-1 Vpu. The fact that different lentiviruses have developed a similar strategy using microRNAs to counter MARCH1 antiviral activity emphasizes its relevance in the antiviral host response, as well as a target in antiviral therapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.004
GPT teacher head0.262
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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