Evidence map›Paper›PMID 26615216›Full record

ArticleGenome biology and evolution2015

Genome-Wide Analysis of Evolutionary Markers of Human Influenza A(H1N1)pdm09 and A(H3N2) Viruses May Guide Selection of Vaccine Strain Candidates.

Sergei S Belanov, Dmitrii Bychkov, Christian Benner, Samuli Ripatti, Teija Ojala, Matti Kankainen, Hong Kai Lee, Julian Wei-Tze Tang, Denis E Kainov

Abstract read
In one paragraph

Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

9 authors.

Sergei S BelanovInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Dmitrii BychkovInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Christian BennerInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Samuli RipattiInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland Welcome Trust Sanger Institute, Cambridgeshire, United Kingdom.
Teija OjalaInstitute of Biomedicine, Pharmacology, University of Helsinki, Helsinki, Finland.
Matti KankainenInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Hong Kai LeeDepartment of Laboratory Medicine, National University Hospital, National University Health System, Singapore.
Julian Wei-Tze TangClinical Microbiology, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.
Denis E KainovInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland denis.kainov@helsinki.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we analyzed whole-genome sequences of 3,969 influenza A(H1N1)pdm09 and 4,774 A(H3N2) strains that circulated during 2009-2015 in the world. The analysis revealed changes at 481 and 533 amino acid sites in proteins of influenza A(H1N1)pdm09 and A(H3N2) strains, respectively. Many of these changes were introduced as a result of random drift. However, there were 61 and 68 changes that were present in relatively large number of A(H1N1)pdm09 and A(H3N2) strains, respectively, that circulated during relatively long time. We named these amino acid substitutions evolutionary markers, as they seemed to contain valuable information regarding the viral evolution. Interestingly, influenza A(H1N1)pdm09 and A(H3N2) viruses acquired non-overlapping sets of evolutionary markers. We next analyzed these characteristic markers in vaccine strains recommended by the World Health Organization for the past five years. Our analysis revealed that vaccine strains carried only few evolutionary markers at antigenic sites of viral hemagglutinin (HA) and neuraminidase (NA). The absence of these markers at antigenic sites could affect the recognition of HA and NA by human antibodies generated in response to vaccinations. This could, in part, explain moderate efficacy of influenza vaccines during 2009-2014. Finally, we identified influenza A(H1N1)pdm09 and A(H3N2) strains, which contain all the evolutionary markers of influenza A strains circulated in 2015, and which could be used as vaccine candidates for the 2015/2016 season. Thus, genome-wide analysis of evolutionary markers of influenza A(H1N1)pdm09 and A(H3N2) viruses may guide selection of vaccine strain candidates.

Indexed as

Evolution, MolecularGenome, ViralAmino Acid SequenceBase SequenceGenetic MarkersInfluenza A Virus, H1N1 SubtypeInfluenza VaccinesMolecular Sequence DataGenetic MarkersInfluenza Vaccinesevolutionary markersinfluenza vaccineinfluenza virusvirus evolution

Identifiers

PMID26615216
PMCPMC4700966

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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.