Evidence map›Paper›PMID 42065599›Full record

ArticleMicrobiology spectrum2026

Phylodynamics and molecular epidemiology of the respiratory syncytial virus fusion protein in China.

Muhammad Nabeel Amjad, Jing Wang, Bei Shen, Huiting Xu, Muhammad Awais Ashraf, Muhammad Asif Raza, Ghayyas Ud Din, Lingdie Chen, Ahsan Ali Bhutto, Lihuan Yue and 5 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Muhammad Nabeel AmjadCAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China.
Jing WangCAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China.
Bei ShenCAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China.
Huiting XuPediatric Department, Nanxiang Branch of Ruijin Hospital, Shanghai, China.
Muhammad Awais AshrafCAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China.
Muhammad Asif RazaCAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China.
Ghayyas Ud DinCAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China.
Lingdie ChenCAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China.
Ahsan Ali BhuttoCAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China.
Lihuan YueCAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China.
Hammad Ul HussanUniversity of Chinese Academy of Sciences, Beijing, China.
Dan QianPediatric Department, Nanxiang Branch of Ruijin Hospital, Shanghai, China.
Wei DongPediatric Department, Nanxiang Branch of Ruijin Hospital, Shanghai, China.
Huajie YanPediatric Department, Nanxiang Branch of Ruijin Hospital, Shanghai, China.
Yihong HuCAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China.ORCID 0000-0001-8539-0885

Funding

Open Foundation of National Virus Resource Center NVRC-PY-01Shanghai Jiading Health Commision 2021-KY-21Technical support Talent project from the Chinese Academy of Sciences
6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) infections have a high prevalence in young children, immunocompromised adults, and elderly, raising global concerns. Global RSV surveillance infers an 8%-27% mortality rate in preterm-born children, with 2.8 million/year. Continuous surveillance studies, coupled with molecular epidemiological investigations, are essential to comprehend the virus's evolutionary dynamics and devise effective preventive strategies. The study investigates the evolutionary dynamics and molecular characterization of the RSV F-protein using bioinformatic pipelines on NCBI and GISAID data sets and molecular analysis of clinical specimens collected from children. We found S255N/G, N262S, N268I, K272M/N, and S275F/A mutations in the heptad repeat region "A" that were associated with inducing resistance toward palivizumab from bioinformatics analysis of surveillance data sets. Molecular characterization of RSV F protein from clinical specimens found L45F mutations responsible for forming new clades, L172Q and S173L substitutions for suptavumab resistance, and N276S mutations for potentially impacting palivizumab resistance. Six N-glycosylation sites are found at 27, 70, 116, 120, 126, and 500 in all RSV strains. Purifying selection, maintaining fusion protein stability, was observed. Phylogenetic analysis reveals genetic variability, with RSV B showing higher diversity than RSV A, forming distinctive clades belonging to B.D (BA9) and A.D (ON1) strains of RSV B and A, respectively. The phylodynamics of RSV indicate a uniform increase in effective population size. Understanding the F protein's structure and dynamics is essential for elucidating the virus's pathogenic mechanisms and developing effective vaccines and antiviral therapies. IMPORTANCE: Respiratory syncytial virus remains a major cause of severe respiratory disease in infants, the elderly, and immunocompromised populations worldwide. Despite recent advances in monoclonal antibodies and vaccines, the virus continues to evolve, posing challenges for long-term control. The RSV fusion (F) protein is central to viral entry and the primary target for neutralizing antibodies, yet little is known about its global evolutionary dynamics and drug-resistance associated changes. By integrating large-scale surveillance data with clinical isolates, our study identifies critical mutations, glycosylation patterns, and evolutionary pressures that shape the diversity of the F protein. These findings provide mechanistic insight into how RSV adapts under immune and therapeutic pressure, highlighting both vulnerabilities and conserved features of the F protein. Continuous monitoring of these evolutionary patterns will be crucial for maintaining vaccine effectiveness and informing the development of next-generation therapeutics to reduce RSV-associated morbidity and mortality.

Indexed as

Respiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsViral Fusion ProteinsAntiviral AgentsChinaDrug Resistance, ViralEvolution, MolecularGlycosylationHumansMolecular EpidemiologyMutationPalivizumabPhylogenyAntiviral AgentsF protein, human respiratory syncytial virusPalivizumabViral Fusion Proteinsdrug resistanceevolutionfusion proteinmutational analysisphylogenetic analysisRespiratory syncytial virus

Identifiers

PMID42065599
PMCPMC13228055

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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.