Evidence map›Paper›PMID 27149616›Full record

ReviewPLoS genetics2016

Exploiting Genetic Interference for Antiviral Therapy.

Elizabeth J Tanner, Karla A Kirkegaard, Leor S Weinberger

Abstract readReview
In one paragraph

Review in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Transmissible Viral Vaccines.Trends in microbiology · 2018
    Review
  19. Antivirals against animal viruses.Biochemical pharmacology · 2017
    Review
  20. Collective Infectious Units in Viruses.Trends in microbiology · 2017
    Review
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

3 authors.

Elizabeth J TannerGladstone Institutes (Virology and Immunology), San Francisco, California, United States of America.ORCID 0000-0001-9445-6620
Karla A KirkegaardDepartment of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
Leor S WeinbergerGladstone Institutes (Virology and Immunology), San Francisco, California, United States of America.

Funding

Translational Incubator CoreU19AI109662 · NIAID · STANFORD UNIVERSITY · PI GLENN, JEFFREY S · 2014 to 2019
$28.6M
GENETICS TRAINING PROGRAM FOR PHD CANDIDATEST32GM007790 · NIGMS · STANFORD UNIVERSITY · PI BRUNET, ANNE, KINGSLEY, DAVID M · 1985 to 2020
$12.8M
Evolvable 'Resistance-Proof' TherapiesDP1DE024408 · NIDCR · J. DAVID GLADSTONE INSTITUTES · PI WEINBERGER, LEOR S · 2013 to 2017
$4.8M
NIH Director's Pioneer AwardDP1OD000827 · OD · STANFORD UNIVERSITY · PI KIRKEGAARD, KARLA · 2006 to 2010
$3.9M
Stochastic Gene Expression in Retroviral LatencyR01AI109593 · NIAID · J. DAVID GLADSTONE INSTITUTES · PI WEINBERGER, LEOR S · 2014 to 2018
$2.2M
NIAID NIH HHS U19 AI109662NIDCR NIH HHS DP1 DE024408NIGMS NIH HHS T32 GM007790NIH HHS DP1 OD000827
6 · The paper itself

Abstract

Rapidly evolving viruses are a major threat to human health. Such viruses are often highly pathogenic (e.g., influenza virus, HIV, Ebola virus) and routinely circumvent therapeutic intervention through mutational escape. Error-prone genome replication generates heterogeneous viral populations that rapidly adapt to new selection pressures, leading to resistance that emerges with treatment. However, population heterogeneity bears a cost: when multiple viral variants replicate within a cell, they can potentially interfere with each other, lowering viral fitness. This genetic interference can be exploited for antiviral strategies, either by taking advantage of a virus's inherent genetic diversity or through generating de novo interference by engineering a competing genome. Here, we discuss two such antiviral strategies, dominant drug targeting and therapeutic interfering particles. Both strategies harness the power of genetic interference to surmount two particularly vexing obstacles-the evolution of drug resistance and targeting therapy to high-risk populations-both of which impede treatment in resource-poor settings.

Indexed as

Antiviral AgentsDrug Resistance, ViralEbolavirusGenetic VariationGenome, ViralHIV-1HumansInfluenza A Virus, H1N1 SubtypeSelection, GeneticVirus ReplicationAntiviral Agents

Identifiers

PMID27149616
PMCPMC4858160

What OpenQuestion holds

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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.