Evidence map›Paper›PMID 21777455›Full record

ArticleVirology journal2011

Simultaneous detection and differentiation of dengue virus serotypes 1-4, Japanese encephalitis virus, and West Nile virus by a combined reverse-transcription loop-mediated isothermal amplification assay.

Shuhua Li, Meiyu Fang, Bin Zhou, Hongxia Ni, Qiuxia Shen, Hongwei Zhang, Yifang Han, Jianhua Yin, Wenjun Chang, Guozhang Xu and 1 more

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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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

26 citing papers in PubMed.

  1. Article
  2. Challenges in Direct Detection of Flaviviruses: A Review.Pathogens (Basel, Switzerland) · 2023
    Review
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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

11 authors.

Shuhua LiDepartment of Epidemiology, Shanghai Key Laboratory of Medical Biodefense, Second Military Medical University, Shanghai, China.
Meiyu Fang
Bin Zhou
Hongxia Ni
Qiuxia Shen
Hongwei Zhang
Yifang Han
Jianhua Yin
Wenjun Chang
Guozhang Xu
Guangwen Cao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid identification and differentiation of mosquito-transmitted flaviviruses in acute-phase sera of patients and field-caught vector mosquitoes are important for the prediction and prevention of large-scale epidemics.

resultsWe developed a flexible reverse-transcription loop-mediated isothermal amplification (RT-LAMP) unit for the detection and differentiation of dengue virus serotypes 1-4 (DENV1-4), Japanese encephalitis virus (JEV), and West Nile virus (WNV). The unit efficiently amplified the viral genomes specifically at wide ranges of viral template concentrations, and exhibited similar amplification curves as monitored by a real-time PCR engine. The detection limits of the RT-LAMP unit were 100-fold higher than that of RT-PCR in 5 of the six flaviviruses. The results on specificity indicated that the six viruses in the assay had no cross-reactions with each other. By examining 66 viral strains of DENV1-4 and JEV, the unit identified the viruses with 100% accuracy and did not cross-react with influenza viruses and hantaviruses. By screening a panel of specimens containing sera of 168 patients and 279 pools of field-caught blood sucked mosquitoes, results showed that this unit is high feasible in clinical settings and epidemiologic field, and it obtained results 100% correlated with real-time RT-PCR.

conclusionsThe RT-LAMP unit developed in this study is able to quickly detect and accurately differentiate the six kinds of flaviviruses, which makes it extremely feasible for screening these viruses in acute-phase sera of the patients and in vector mosquitoes without the need of high-precision instruments.

Indexed as

AnimalsCulicidaeDengue VirusEncephalitis Virus, JapaneseFemaleHumansNucleic Acid Amplification TechniquesSensitivity and SpecificitySerumVirologyWest Nile virus

Identifiers

PMID21777455
PMCPMC3149006

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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.