Evidence map›Paper›PMID 33343927›Full record

ArticleVirus evolution2020

Longitudinal sampling is required to maximize detection of intrahost A/H3N2 virus variants.

B F Koel, R M Vigeveno, M Pater, S M Koekkoek, A X Han, H M Tuan, T T N Anh, N T Hung, L Q Thinh, L T Hai and 14 more

Open access · goldAbstract read
In one paragraph

Article in Virus evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

24 authors at 9 institutions in 5 countries.

B F KoelDepartment of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
R M VigevenoDepartment of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
M PaterDepartment of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
S M KoekkoekDepartment of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
A X HanDepartment of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
H M TuanChildren's Hospital 2.
T T N AnhChildren's Hospital 2.
N T HungChildren's Hospital 1, Ho Chi Minh City, Vietnam.
L Q ThinhChildren's Hospital 1, Ho Chi Minh City, Vietnam.
L T HaiVietnam National Children's Hospital, Hanoi, Vietnam.
H T B NgocVietnam National Children's Hospital, Hanoi, Vietnam.
N V V ChauHospital for Tropical Diseases, Ho Chi Minh City, Vietnam.
N M NgocHospital for Tropical Diseases, Ho Chi Minh City, Vietnam.
K ChokephaibulkitSiriraj Hospital, Bangkok, Thailand.
P PuthavathanaSiriraj Hospital, Bangkok, Thailand.
N V KinhNational Hospital of Tropical Diseases, Hanoi, Vietnam.
T TrinhNational Hospital of Tropical Diseases, Hanoi, Vietnam.
R T C LeeBioinformatics Institute, Agency for Science Technology and Research, Singapore 138671 Singapore.
S Maurer-StrohBioinformatics Institute, Agency for Science Technology and Research, Singapore 138671 Singapore.
D EgginkDepartment of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
T T ThanhOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
L V TanOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
H R van DoornOxford University Clinical Research Unit, Hanoi, Vietnam.
M D de JongDepartment of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLHospital for Tropical Diseases · VNOxford University Clinical Research Unit · VNUniversity of Amsterdam · NLBioinformatics Institute · SGChildren's Hospital 1 · VNChildren's Hospital 2 · VNNational Hospital of Pediatrics · VNSiriraj Hospital · TH

Funding

Wellcome Trust
6 · The paper itself

Abstract

Seasonal human influenza viruses continually change antigenically to escape from neutralizing antibodies. It remains unclear how genetic variation in the intrahost virus population and selection at the level of individual hosts translates to the fast-paced evolution observed at the global level because emerging intrahost antigenic variants are rarely detected. We tracked intrahost variants in the hemagglutinin and neuraminidase surface proteins using longitudinally collected samples from 52 patients infected by A/H3N2 influenza virus, mostly young children, who received oseltamivir treatment. We identified emerging putative antigenic variants and oseltamivir-resistant variants, most of which remained detectable in samples collected at subsequent days, and identified variants that emerged intrahost immediately prior to increases in global rates. In contrast to most putative antigenic variants, oseltamivir-resistant variants rapidly increased to high frequencies in the virus population. Importantly, the majority of putative antigenic variants and oseltamivir-resistant variants were first detectable four or more days after onset of symptoms or start of treatment, respectively. Our observations demonstrate that

Indexed as

influenza virusnext-generation sequencingwithin-host evolution

Identifiers

PMID33343927
PMCPMC7733607
OpenAlexW3108336495

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.