Evidence map›Paper›PMID 30226157›Full record

ArticleEmerging infectious diseases2018

Molecular Evolution, Diversity, and Adaptation of Influenza A(H7N9) Viruses in China.

Jing Lu, Jayna Raghwani, Rhys Pryce, Thomas A Bowden, Julien Thézé, Shanqian Huang, Yingchao Song, Lirong Zou, Lijun Liang, Ru Bai and 7 more

Abstract readHistorical Article
In one paragraph

Article in Emerging infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  19. Exploitation of glycosylation in enveloped virus pathobiology.Biochimica et biophysica acta. General subjects · 2019
    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

17 authors.

Jing Lu
Jayna Raghwani
Rhys Pryce
Thomas A Bowden
Julien Thézé
Shanqian Huang
Yingchao Song
Lirong Zou
Lijun Liang
Ru Bai
Yi Jing
Pingping Zhou
Min Kang
Lina Yi
Jie Wu
Oliver G Pybus
Changwen Ke

Funding

Medical Research Council MR/L009528/1Wellcome TrustWellcome Trust 203141/Z/16/Z
6 · The paper itself

Abstract

The substantial increase in prevalence and emergence of antigenically divergent or highly pathogenic influenza A(H7N9) viruses during 2016-17 raises concerns about the epizootic potential of these viruses. We investigated the evolution and adaptation of H7N9 viruses by analyzing available data and newly generated virus sequences isolated in Guangdong Province, China, during 2015-2017. Phylogenetic analyses showed that circulating H7N9 viruses belong to distinct lineages with differing spatial distributions. Hemagglutination inhibition assays performed on serum samples from patients infected with these viruses identified 3 antigenic clusters for 16 strains of different virus lineages. We used ancestral sequence reconstruction to identify parallel amino acid changes on multiple separate lineages. We inferred that mutations in hemagglutinin occur primarily at sites involved in receptor recognition or antigenicity. Our results indicate that highly pathogenic strains likely emerged from viruses circulating in eastern Guangdong Province during March 2016 and are associated with a high rate of adaptive molecular evolution.

Indexed as

Evolution, MolecularGenetic VariationAmino Acid SequenceAnimalsAntigenic VariationBirdsChinaGenome, ViralGenotypeGeography, MedicalHistory, 21st CenturyHumansInfluenza A Virus, H7N9 SubtypeInfluenza, HumanInfluenza in BirdsPhylogenyRNA, Viraladaptationavian influenzaavian influenza virusChinadiversityH7N9hemagglutination inhibition assayinfluenzamolecular epidemiologymolecular evolutionphylogeneticsrespiratory infectionsvirusesvirus subtypes

Identifiers

PMID30226157
PMCPMC6154164

What OpenQuestion holds

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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.