Evidence map›Paper›PMID 22188662›Full record

ArticleVirology journal2011

Enhanced inhibition of Avian leukosis virus subgroup J replication by multi-target miRNAs.

Qing-Wen Meng, Zai-Ping Zhang, Wei Wang, Jin Tian, Zhi-Guang Xiao

Abstract readEvaluation Study
In one paragraph

Article in Virology journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Avian Leukosis: Will We Be Able to Get Rid of It?Animals : an open access journal from MDPI · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

5 authors.

Qing-Wen MengState Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No, 427 Maduan Street, Nangang District, Harbin 150001, People's Republic of China. mqw@hvri.ac.cn
Zai-Ping Zhang
Wei Wang
Jin Tian
Zhi-Guang Xiao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAvian leukosis virus (ALV) is a major infectious disease that impacts the poultry industry worldwide. Despite intensive efforts, no effective vaccine has been developed against ALV because of mutations that lead to resistant forms. Therefore, there is a dire need to develop antiviral agents for the treatment of ALV infections and RNA interference (RNAi) is considered an effective antiviral strategy.

resultsIn this study, the avian leukosis virus subgroup J (ALV-J) proviral genome, including the gag genes, were treated as targets for RNAi. Four pairs of miRNA sequences were designed and synthesized that targeted different regions of the gag gene. The screened target (i.e., the gag genes) was shown to effectively suppress the replication of ALV-J by 19.0-77.3%. To avoid the generation of escape variants during virus infection, expression vectors of multi-target miRNAs were constructed using the multi-target serial strategy (against different regions of the gag, pol, and env genes). Multi-target miRNAs were shown to play a synergistic role in the inhibition of ALV-J replication, with an inhibition efficiency of viral replication ranging from 85.0-91.2%.

conclusionThe strategy of multi-target miRNAs might be an effective method for inhibiting ALV replication and the acquisition of resistant mutations.

Indexed as

RNA InterferenceAnimalsAvian LeukosisAvian Leukosis VirusCell LineGene Products, envGene Products, gagGene Products, polMicroRNAsPoultry DiseasesTransfectionVirus ReplicationGene Products, envGene Products, gagGene Products, polMicroRNAs

Identifiers

PMID22188662
PMCPMC3296551

What OpenQuestion holds

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Registered trials

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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.