ArticleCell2015
An evolutionary role for HIV latency in enhancing viral transmission.
Article in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
67 citing papers in PubMed, 96 citations in OpenAlex.
- Is the molecular microenvironment of the latent HIV reservoir predictable using deep learning approaches?Journal of virology · 2026Review
- Retroviral Infections Affect Survival and Clutch Size of Female Wild Turkeys.Ecology and evolution · 2026Article
- Tradeoffs between proliferation and transmission in virus evolution- insights from evolutionary and functional analyses of SARS-CoV-2.Virology journal · 2025Article
- Subtype AD Recombinant HIV-1 Transmitted/Founder Viruses Are Less Sensitive to Type I Interferons than Subtype D.Viruses · 2025Article
- Review
- Variation in HIV-1 Tat activity is a key determinant in the establishment of latent infection.JCI insight · 2024Article
- Mcl-1 Protein and Viral Infections: A Narrative Review.International journal of molecular sciences · 2024Review
- Review
- Contact-number-driven virus evolution: A multi-level modeling framework for the evolution of acute or persistent RNA virus infection.PLoS computational biology · 2023Article
- Loss of In Vivo Replication Fitness of HIV-1 Variants Resistant to the Tat Inhibitor, dCA.Viruses · 2023Article
- Review
- Activation domains can decouple the mean and noise of gene expression.Cell reports · 2022Article
- Parallel analysis of transcription, integration, and sequence of single HIV-1 proviruses.Cell · 2022Article
- Genome instability drives epistatic adaptation in the human pathogenProceedings of the National Academy of Sciences of the United States of America · 2021Article
- Co-receptor signaling in the pathogenesis of neuroHIV.Retrovirology · 2021Review
- Epigenetic Mechanisms of HIV-1 Persistence.Vaccines · 2021Review
- A delay model for persistent viral infections in replicating cells.Journal of mathematical biology · 2021Article
- Persistence as an Optimal Hedging Strategy.Biophysical journal · 2021Article
- Block-And-Lock: New Horizons for a Cure for HIV-1.Viruses · 2020Review
- Pre-existing resistance in the latent reservoir can compromise VRC01 therapy during chronic HIV-1 infection.PLoS computational biology · 2020Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
HIV latency is the chief obstacle to eradicating HIV but is widely believed to be an evolutionary accident providing no lentiviral fitness advantage. However, findings of latency being "hardwired" into HIV's gene-regulatory circuitry appear inconsistent with latency being an evolutionary accident, given HIV's rapid mutation rate. Here, we propose that latency is an evolutionary "bet-hedging" strategy whose frequency has been optimized to maximize lentiviral transmission by reducing viral extinction during mucosal infections. The model quantitatively fits the available patient data, matches observations of high-frequency latency establishment in cell culture and primates, and generates two counterintuitive but testable predictions. The first prediction is that conventional CD8-depletion experiments in SIV-infected macaques increase latent cells more than viremia. The second prediction is that strains engineered to have higher replicative fitness—via reduced latency—will exhibit lower infectivity in animal-model mucosal inoculations. Therapeutically, the theory predicts treatment approaches that may substantially enhance "activate-and-kill" HIV-cure strategies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.