Evidence map›Paper›PMID 37023101›Full record

ArticlePloS one2023

Molecular characterization of human respiratory syncytial virus in Seoul, South Korea, during 10 consecutive years, 2010-2019.

Ha Nui Kim, Jinha Hwang, Soo-Young Yoon, Chae Seung Lim, Yunjung Cho, Chang-Kyu Lee, Myung-Hyun Nam

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 21 citations in OpenAlex.

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  16. The Modification of the IlluminaInternational journal of molecular sciences · 2023
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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

7 authors at 1 institution in 1 country.

Ha Nui KimDepartment of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea.ORCID 0000-0003-1928-7411
Jinha HwangDepartment of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea.
Soo-Young YoonDepartment of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea.
Chae Seung LimDepartment of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea.
Yunjung ChoDepartment of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea.ORCID 0000-0002-6942-8385
Chang-Kyu LeeDepartment of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea.
Myung-Hyun NamDepartment of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea.ORCID 0000-0002-8737-6902
Korea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) is the leading cause of lower respiratory tract infections and hospitalization in infants and young children. Here, we analyzed the genetic diversity of RSV using partial G gene sequences in 84 RSV-A and 78 RSV- B positive samples collected in Seoul, South Korea, for 10 consecutive years, from 2010 to 2019. Our phylogenetic analysis revealed that RSV-A strains were classified into either the ON1 (80.9%) or NA1 (19.0%) genotypes. On the other hand, RSV-B strains demonstrated diversified clusters within the BA genotype. Notably, some sequences designated as BA-SE, BA-SE1, and BA-DIS did not cluster with previously identified BA genotypes in the phylogenetic trees. Despite this, they did not meet the criteria for the assignment of a new genotype based on recent classification methods. Selection pressure analysis identified three positive selection sites (amino acid positions 273, 274, and 298) in RSV-A, and one possible positive selection site (amino acid position 296) in RSV-B, respectively. The mean evolutionary rates of Korean RSV-A from 1999 to 2019 and RSV-B strains from 1991 and 2019 were estimated at 3.51 × 10-3 nucleotides (nt) substitutions/site/year and 3.32 × 10-3 nt substitutions/site/year, respectively. The population dynamics in the Bayesian skyline plot revealed fluctuations corresponding to the emergence of dominant strains, including a switch of the dominant genotype from NA1 to ON1. Our study on time-scaled cumulative evolutionary analysis contributes to a better understanding of RSV epidemiology at the local level in South Korea.

Indexed as

Respiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsBayes TheoremChildChild, PreschoolGenotypeHumansInfantMolecular EpidemiologyPhylogenyRepublic of KoreaSeoul

Identifiers

PMID37023101
PMCPMC10079039
OpenAlexW4362657936

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.