Evidence map›Paper›PMID 27152856›Full record

ArticlePLoS computational biology2016

Conflicting Selection Pressures Will Constrain Viral Escape from Interfering Particles: Principles for Designing Resistance-Proof Antivirals.

Luke I Rast, Igor M Rouzine, Ganna Rozhnova, Lisa Bishop, Ariel D Weinberger, Leor S Weinberger

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 29 citations in OpenAlex.

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  9. Evolutionary dynamics within and among competing groups.Proceedings of the National Academy of Sciences of the United States of America · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Luke I RastGladstone Institutes (Virology and Immunology), San Francisco, California, United States of America.
Igor M RouzineGladstone Institutes (Virology and Immunology), San Francisco, California, United States of America.
Ganna RozhnovaGladstone Institutes (Virology and Immunology), San Francisco, California, United States of America.
Lisa BishopGladstone Institutes (Virology and Immunology), San Francisco, California, United States of America.
Ariel D WeinbergerWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, United States of America.
Leor S WeinbergerGladstone Institutes (Virology and Immunology), San Francisco, California, United States of America.
Gladstone Institutes · USUniversity of California, San Francisco · US

Funding

Evolvable 'Resistance-Proof' TherapiesDP1DE024408 · NIDCR · J. DAVID GLADSTONE INSTITUTES · PI WEINBERGER, LEOR S · 2013 to 2017
$4.8M
Stochastic Gene Expression in Retroviral LatencyR01AI109593 · NIAID · J. DAVID GLADSTONE INSTITUTES · PI WEINBERGER, LEOR S · 2014 to 2018
$2.2M
NIDCR NIH HHS DP1 DE024408
6 · The paper itself

Abstract

The rapid evolution of RNA-encoded viruses such as HIV presents a major barrier to infectious disease control using conventional pharmaceuticals and vaccines. Previously, it was proposed that defective interfering particles could be developed to indefinitely control the HIV/AIDS pandemic; in individual patients, these engineered molecular parasites were further predicted to be refractory to HIV's mutational escape (i.e., be 'resistance-proof'). However, an outstanding question has been whether these engineered interfering particles-termed Therapeutic Interfering Particles (TIPs)-would remain resistance-proof at the population-scale, where TIP-resistant HIV mutants may transmit more efficiently by reaching higher viral loads in the TIP-treated subpopulation. Here, we develop a multi-scale model to test whether TIPs will maintain indefinite control of HIV at the population-scale, as HIV ('unilaterally') evolves toward TIP resistance by limiting the production of viral proteins available for TIPs to parasitize. Model results capture the existence of two intrinsic evolutionary tradeoffs that collectively prevent the spread of TIP-resistant HIV mutants in a population. First, despite their increased transmission rates in TIP-treated sub-populations, unilateral TIP-resistant mutants are shown to have reduced transmission rates in TIP-untreated sub-populations. Second, these TIP-resistant mutants are shown to have reduced growth rates (i.e., replicative fitness) in both TIP-treated and TIP-untreated individuals. As a result of these tradeoffs, the model finds that TIP-susceptible HIV strains continually outcompete TIP-resistant HIV mutants at both patient and population scales when TIPs are engineered to express >3-fold more genomic RNA than HIV expresses. Thus, the results provide design constraints for engineering population-scale therapies that may be refractory to the acquisition of antiviral resistance.

Indexed as

Drug DesignAnti-HIV AgentsComputational BiologyDefective VirusesDrug Resistance, ViralEvolution, MolecularHIVHIV InfectionsHumansModels, BiologicalMutationSelection, GeneticViral LoadVirus ReplicationAnti-HIV Agents

Identifiers

PMID27152856
PMCPMC4859541
OpenAlexW2346996506

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.