Evidence map›Paper›PMID 27445010›Full record

ArticleScientific reports2016

Detection of influenza A virus from live-bird market poultry swab samples in China by a pan-IAV, one-step reverse-transcription FRET-PCR.

Lu Luan, Zhihao Sun, Bernhard Kaltenboeck, Ke Huang, Min Li, Daxin Peng, Xiulong Xu, Jianqiang Ye, Jing Li, Weina Guo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Frontiers in veterinary science · 2022
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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 at 2 institutions in 2 countries.

Lu LuanJiangsu Co-innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China.
Zhihao SunJiangsu Co-innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China.
Bernhard KaltenboeckCollege of Veterinary Medicine, Auburn University, Auburn, Alabama, USA.
Ke HuangJiangsu Co-innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China.
Min LiJiangsu Co-innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China.
Daxin PengJiangsu Co-innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China.
Xiulong XuJiangsu Co-innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China.
Jianqiang YeJiangsu Co-innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China.
Jing LiJiangsu Co-innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China.
Weina GuoJiangsu Co-innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China.
Chengming WangJiangsu Co-innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China.
Yangzhou University · CNAuburn University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The persistent public health threat of animal to human transmission of influenza A virus (IAV) has stimulated interest in rapid and accurate detection of all IAV subtypes in clinical specimens of animal origin. In this study, a new set of primers and probes was designed for one-step pan-IAV reverse-transcription fluorescence resonance energy transfer (FRET)-PCR. The detection limit of one-step pan-IAV RT FRET-PCR was 10 copies of the matrix gene per reaction, and proved to be equivalent or superior to virus isolation in detecting nine IAV subtypes. Application of the pan-IAV RT FRET-PCR to oral-pharyngeal and cloacal swab specimens collected from healthy poultry in 34 live bird markets in 24 provinces of China revealed that 9.2% of the animals (169/1,839) or 6.3% of their oral-pharyngeal or cloacal swabs (233/3,678) were positive for IAV, and 56.8% of IAV-positive samples were of the H9N2 subtype. Paralleling detection of IAV in H9N2-infected SPF chickens and chickens from LBM showed that pan-IAV FRET-PCR had a higher detection limit than virus isolation in eggs while the results by FRET-PCR and virus isolation overall matched. It is expected that this strategy can be useful for facile surveillance for IAV in clinical samples from a variety of sources.

Indexed as

AnimalsChickensChinaCloacaDNA PrimersFluorescence Resonance Energy TransferInfluenza A virusInfluenza in BirdsMolecular Diagnostic TechniquesMouthOligonucleotide ProbesPharynxReverse Transcriptase Polymerase Chain ReactionDNA PrimersOligonucleotide Probes

Identifiers

PMID27445010
PMCPMC4957103
OpenAlexW2490765876

What OpenQuestion holds

Textmetadata
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.