Evidence map›Paper›PMID 41055398›Full record

ArticleMicrobiology spectrum2025

Whole-genome sequence characterization of respiratory syncytial virus in the Johns Hopkins Health System during the 2024-2025 respiratory season.

Ting Xuan Zhuang, Amary Fall, Julie M Norton, Omar Abdullah, David A Villafuerte, Andrew Pekosz, Eili Klein, Heba H Mostafa

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

8 authors.

Ting Xuan ZhuangDepartment of Pathology, Division of Medical Microbiology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Amary FallDepartment of Pathology, Division of Medical Microbiology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Julie M NortonDepartment of Pathology, Division of Medical Microbiology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Omar AbdullahDepartment of Pathology, Division of Medical Microbiology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
David A VillafuerteDepartment of Pathology, Division of Medical Microbiology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Andrew PekoszDepartment of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-3248-1761
Eili KleinDepartment of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Heba H MostafaDepartment of Pathology, Division of Medical Microbiology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-0274-8966

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00045 · NIAID · JOHNS HOPKINS UNIVERSITY · PI PEKOSZ, ANDREW · 2021 to 2025
$23.3M
Johns Hopkins Center of Excellence in Influenza Research and Response 75N93021C000045NIAID NIH HHS 75N93021C00045
6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) remains a leading cause of lower respiratory tract infections in young children, older adults, and immunocompromised individuals worldwide. In 2023, the first RSV vaccines and the widespread use of monoclonal antibodies were approved, underscoring the need for genomic surveillance to monitor their effectiveness and the emergence of antibody-resistant genotypes. This study details the whole-genome characterization of RSV strains circulating between September and December 2024. Whole RSV genome amplification was performed using overlapping amplicons, followed by Nanopore sequencing. Viral genomes were analyzed to determine subtypes, clade prevalence, and amino acid substitutions. Epidemiological and clinical data were collected to assess associations with specific viral variants. A total of 336 RSV-positive samples were collected for the study. RSV activity followed expected seasonal patterns, with a predominance of RSV-A (94.9%) and the regional evolution of clade A.D.1.6 (68.34%). Over half of the infections occurred in children aged 1-5 years (56.2%). Comorbidities, including immunosuppression, were significantly associated with severe clinical outcomes. Phylogenetic analyses revealed tight clustering and low intra-clade diversity. Our results highlight the ongoing genetic evolution of RSV-A following the coronavirus disease 2019 (COVID-19) pandemic. Amino acid substitutions were detected across surface and internal proteins, potentially affecting the effectiveness of vaccines, monoclonal antibodies, or antivirals. Predicted gains and losses of glycosylation sites may further influence antigenic presentation. These findings underscore the need for integrated RSV genomic and epidemiological surveillance.IMPORTANCEWith ongoing antiviral drug development, recent approvals of new vaccines, and the continued use of protective antibody therapies, it is crucial to monitor the genetic evolution of RSV. Here, we present a long-amplicon-based whole-genome sequencing protocol for RSV-A and RSV-B, enabling genomic surveillance and representing the first report of whole-genome analysis of RSV strains circulating in areas served by the Johns Hopkins Health System during the 2024-2025 respiratory viral season. Our findings demonstrate the value of whole-genome surveillance in identifying emerging clades and molecular variations, and highlight the continued genomic evolution of RSV-A in the post-COVID-19 era.

Indexed as

Genome, ViralRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsWhole Genome SequencingAdolescentAdultAgedChildChild, PreschoolFemaleGenotypeHumansInfantMaleMiddle AgedPhylogenygenomic surveillancerespiratory syncytial virusRSVsequencing

Identifiers

PMID41055398
PMCPMC12584621

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.