Evidence map›Paper›PMID 30442149›Full record

ArticleBMC veterinary research2018

A multiplex xTAG assay for the simultaneous detection of five chicken immunosuppressive viruses.

Feng Cong, Yujun Zhu, Jing Wang, Yuexiao Lian, Xiangnan Liu, Li Xiao, Ren Huang, Yu Zhang, Meili Chen, Pengju Guo

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
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  4. Gyrovirus: current status and challenge.Frontiers in microbiology · 2024
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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

10 authors at 2 institutions in 1 country.

Feng CongGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China.
Yujun ZhuGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China.
Jing WangGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China.
Yuexiao LianGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China.
Xiangnan LiuGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China.
Li XiaoGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China.
Ren HuangGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China.
Yu ZhangGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China.
Meili ChenGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China. chml@gdlami.com.
Pengju GuoGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China. vetbio2016@hotmail.com.
Guangdong Laboratory Animals Monitoring Institute · CNSouth China Agricultural University · CN

Funding

Department of Science and Technology of Guangdong Province and Guangzhou Municipa 2016A030303024National Key Technology R&D Program 2015BAI07B01the Science and Technology Department of Guangdong Province and Guangzhou 2015A030313693the Science and Technology Department of Guangdong Province and Guangzhou 2016201604030059the Science and Technology Department of Guangdong Province and Guangzhou 2017A070702001the Science and Technology Department of Guangdong Province and Guangzhou 2017B030314171
6 · The paper itself

Abstract

backgroundChicken anemia virus (CAV), avian reovirus (ARV), infectious bursal disease virus (IBDV), Marek's disease virus (MDV) and reticuloendotheliosis virus (REV) all cause immunosuppressive disease in birds through vertical or horizontal transmission. Mixed infections with these immunosuppressive pathogens lead to atypical clinical signs and obstruct accurate diagnoses and epidemiological investigations. Therefore, it is essential to develop a high-throughput assay for the simultaneous detection of these immunosuppressive viruses with high specificity and sensitivity. The aim of this study was to establish a novel method using a RT-PCR assay combined with fluorescence labeled polystyrene bead microarray (multiplex xTAG assay) to detect single or mixed viral infections.

resultsThe results showed that the established xTAG assay had no nonspecific reactions with avian influenza virus (AIV), infectious bronchitis virus (IBV), newcastle disease virus (NDV), infectious laryngotracheitis virus (ILTV), Mycoplasma gallisepticum (MG) and Mycoplasma synoviae (MS). The limit of detection was 1.0 × 10

conclusionThe multiplex xTAG assay has been showed to be an additional tool for molecular epidemiology studies of five chicken immunosuppressive viruses in the poultry industry.

Indexed as

Chicken anemia virusInfectious bursal disease virusMardivirusOrthoreovirus, AvianReticuloendotheliosis Viruses, AvianAnimalsBirnaviridae InfectionsChickensCircoviridae InfectionsCoinfectionMarek DiseaseMicroarray AnalysisMultiplex Polymerase Chain ReactionPoultry DiseasesReoviridae InfectionsReproducibility of ResultsAvian reovirusChicken anemia virusChicken immunosuppressive virusesMultiplex xTAG assaySimultaneous detection

Identifiers

PMID30442149
PMCPMC6238339
OpenAlexW2901217186

What OpenQuestion holds

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LicenceCC BY
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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.