ArticleScience signaling2025
Identification of proteins in semen-derived extracellular vesicles that bind to Tat and NF-κB and that may impair HIV replication.
Article in Science signaling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Targeting NF-κB signaling for HIV latency reversal: Mechanisms, challenges, and therapeutic perspectives.Virus research · 2026Review
- Heterogeneity in semen-mediated tolerogenic responses: defining immunological determinants of reproductive compatibility.Human reproduction open · 2026Article
- Non-Vesicular Extracellular Particle (NVEP) Proteomes from Diverse Biological Sources Reveal Specific Marker Composition with Varying Enrichment Levels.Biomolecules · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
Replication of HIV-1 requires the coordinated action of host and viral transcription factors, most critically the viral transactivator Tat and the host nuclear factor κB (NF-κB). This activity is disrupted in infected cells that are cultured with extracellular vesicles (EVs) present in human semen, suggesting that they contain factors that could inform the development of new therapeutics. Here, we explored the contents of semen-derived EVs (SEVs) from uninfected donors and individuals with HIV-1 and identified host proteins that interacted with HIV Tat and the NF-κB subunit p65. Integrative network and pathway enrichment analyses of these complexes revealed associations with an array of biological functions regulating gene expression. Several proteins in SEVs bound to both Tat and NF-κB p65: the scaffolding and cell signaling regulatory protein AKAP9, the G protein signaling regulator ARHGEF28, the epigenetic reader BRD2, the small nuclear RNA processor INTS1, and the transcription elongation inhibitor NELFB. When complexed with p65, NELFB also interacted with HEXIM1, another transcription elongation inhibitor, suggesting that SEVs may inhibit HIV-1 propagation through multiple networks of transcriptional activation and repression. Exploring these data and the underlying mechanisms may inform the development of more effective or more durable therapeutics against HIV.
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