Evidence map›Paper›PMID 33471840›Full record

ArticlePloS one2021

A universal RT-qPCR assay for "One Health" detection of influenza A viruses.

Alexander Nagy, Lenka Černíková, Kateřina Kunteová, Zuzana Dirbáková, Saumya S Thomas, Marek J Slomka, Ádám Dán, Tünde Varga, Martina Máté, Helena Jiřincová and 1 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 81 citations in OpenAlex.

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  15. Primary care sentinel surveillance of influenza-like illness and laboratory detections of respiratory viral infections in Denmark, week 40 2021 to week 39 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
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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 3 institutions in 2 countries.

Alexander NagyState Veterinary Institute Prague, Prague, Czech Republic.ORCID 0000-0002-8201-2528
Lenka ČerníkováState Veterinary Institute Prague, Prague, Czech Republic.
Kateřina KunteováState Veterinary Institute Prague, Prague, Czech Republic.
Zuzana DirbákováSVFI-Veterinary Institute Zvolen, Bratislava, Slovak Republic.
Saumya S ThomasAnimal and Plant Health Agency (APHA-Weybridge), Addlestone, Surrey, United Kingdom.ORCID 0000-0002-1238-3905
Marek J SlomkaAnimal and Plant Health Agency (APHA-Weybridge), Addlestone, Surrey, United Kingdom.ORCID 0000-0002-4944-5073
Ádám DánDanam.Vet.Molbiol, Budapest, Hungary.
Tünde VargaSCG Diagnosztika Ltd., Délegyháza, Hungary.
Martina MátéProphyl Animal Health Ltd., Mohács, Hungary.
Helena JiřincováNational Institute of Public Health, National Reference Laboratory for Influenza, Prague, Czech Republic.
Ian H BrownAnimal and Plant Health Agency (APHA-Weybridge), Addlestone, Surrey, United Kingdom.
Animal and Plant Health Agency · GBState Veterinary Administration · CZNational Institute of Public Health · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mutual dependence of human and animal health is central to the One Health initiative as an integrated strategy for infectious disease control and management. A crucial element of the One Health includes preparation and response to influenza A virus (IAV) threats at the human-animal interface. The IAVs are characterized by extensive genetic variability, they circulate among different hosts and can establish host-specific lineages. The four main hosts are: avian, swine, human and equine, with occasional transmission to other mammalian species. The host diversity is mirrored in the range of the RT-qPCR assays for IAV detection. Different assays are recommended by the responsible health authorities for generic IAV detection in birds, swine or humans. In order to unify IAV monitoring in different hosts and apply the One Health approach, we developed a single RT-qPCR assay for universal detection of all IAVs of all subtypes, species origin and global distribution. The assay design was centred on a highly conserved region of the IAV matrix protein (MP)-segment identified by a comprehensive analysis of 99,353 sequences. The reaction parameters were effectively optimised with efficiency of 93-97% and LOD95% of approximately ten IAV templates per reaction. The assay showed high repeatability, reproducibility and robustness. The extensive in silico evaluation demonstrated high inclusivity, i.e. perfect sequence match in the primers and probe binding regions, established as 94.6% for swine, 98.2% for avian and 100% for human H3N2, pandemic H1N1, as well as other IAV strains, resulting in an overall predicted detection rate of 99% on the analysed dataset. The theoretical predictions were confirmed and extensively validated by collaboration between six veterinary or human diagnostic laboratories on a total of 1970 specimens, of which 1455 were clinical and included a diverse panel of IAV strains.

Indexed as

AnimalsBirdsHumansInfluenza A virusInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanInfluenza in BirdsOne HealthOrthomyxoviridae InfectionsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionSwineSwine Diseases

Identifiers

PMID33471840
PMCPMC7817021
OpenAlexW3123670085

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.