Evidence map›Paper›PMID 25365453›Full record

ArticleeLife2014

Dominant drug targets suppress the emergence of antiviral resistance.

Elizabeth J Tanner, Hong-mei Liu, M Steven Oberste, Mark Pallansch, Marc S Collett, Karla Kirkegaard

Abstract read
In one paragraph

Article in eLife, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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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.

Elizabeth J TannerDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, United States.
Hong-mei LiuDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, United States.
M Steven ObersteDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, United States.
Mark PallanschDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, United States.
Marc S CollettViroDefense, Inc., Rockville, United States.
Karla KirkegaardDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, United States.

Funding

NIH Director's Pioneer AwardDP1OD000827 · OD · STANFORD UNIVERSITY · PI KIRKEGAARD, KARLA · 2006 to 2010
$3.9M
NIH HHS DP1 OD000827
6 · The paper itself

Abstract

The emergence of drug resistance can defeat the successful treatment of pathogens that display high mutation rates, as exemplified by RNA viruses. Here we detail a new paradigm in which a single compound directed against a 'dominant drug target' suppresses the emergence of naturally occurring drug-resistant variants in mice and cultured cells. All new drug-resistant viruses arise during intracellular replication and initially express their phenotypes in the presence of drug-susceptible genomes. For the targets of most anti-viral compounds, the presence of these drug-susceptible viral genomes does not prevent the selection of drug resistance. Here we show that, for an inhibitor of the function of oligomeric capsid proteins of poliovirus, the expression of drug-susceptible genomes causes chimeric oligomers to form, thus rendering the drug-susceptible genomes dominant. The use of dominant drug targets should suppress drug resistance whenever multiple genomes arise in the same cell and express products in a common milieu.

Indexed as

AnimalsAntiviral AgentsCapsidDrug Evaluation, PreclinicalDrug Resistance, ViralGenome, ViralGuanidineHeLa CellsHumansMicePoliomyelitisPoliovirusViral ProteinsVirionAntiviral AgentsGuanidineViral Proteinschromosomesdrug resistancegenesgenetic dominancehuman biologymedicineoligomeric proteinsquasispeciesvirusesvirus evolution

Identifiers

PMID25365453
PMCPMC4270081

What OpenQuestion holds

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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.