Molecular epidemiological characteristics of coxsackievirus A6 in Jinhua, China, 2019–2023

We aimed to perform a retrospective analysis of the molecular epidemiological characteristics and genetic features of hand, foot and mouth disease (HFMD) associated with coxsackievirus A6 (CVA6) infections in Jinhua city from 2019 to 2023. Throat swab specimens were collected and tested. Two hundred CVA6-positive samples with viral loads>1 × [Formula: see text] copies/µL were randomly selected for VP1 sequence amplification and sequencing. Sequence analysis using sequencing analysis software. All methods were performed in accordance with the relevant guidelines and regulations. The number of HFMD cases fluctuated from 2019 to 2023.Children aged < 5 years accounted for the majority and boys were more frequently affected than girls. Genetic evolution analysis revealed that all 200 CVA6 strains belonged to subtype D3a and were on the D3a branch. Nucleotide homology and amino acid homology are somewhat different compared with representative strains in China and abroad. The full length of the CVA6 VP1 sequence was 915 bp, encoding 305 amino acids. Among the 200 prevalent strains in this study, 19 mutation sites were identified. Multiple transmission chains of CVA6 co-circulated in Jinhua City, exhibiting an enhanced virulence trend. There are multiple antigenic epitope amino acid variants in the VP1 gene.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-03
DOI
https://doi.org/10.1038/s41598-025-99469-9
Citations
1
Primary Topic
Viral Infections and Immunology Research
Type
article
Field-Weighted Citation Impact
1.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular epidemiological characteristics of coxsackievirus A6 in Jinhua, China, 2019–2023

Xiaojing Yao, Junli Zhu, Pengkai Sun, Zhifeng Pang et al.
1 citations
Scientific Reports
Viral Infections and Immunology Research
1.39
article

Molecular epidemiological characteristics of coxsackievirus A6 in Jinhua, China, 2019–2023

Xiaojing Yao, Junli Zhu, Pengkai Sun, Zhifeng Pang, Bing Zhang, Junling Wang, Bing Wu, Shuying Zhu
article en
1 citations

Abstract

We aimed to perform a retrospective analysis of the molecular epidemiological characteristics and genetic features of hand, foot and mouth disease (HFMD) associated with coxsackievirus A6 (CVA6) infections in Jinhua city from 2019 to 2023. Throat swab specimens were collected and tested. Two hundred CVA6-positive samples with viral loads>1 × [Formula: see text] copies/µL were randomly selected for VP1 sequence amplification and sequencing. Sequence analysis using sequencing analysis software. All methods were performed in accordance with the relevant guidelines and regulations. The number of HFMD cases fluctuated from 2019 to 2023.Children aged < 5 years accounted for the majority and boys were more frequently affected than girls. Genetic evolution analysis revealed that all 200 CVA6 strains belonged to subtype D3a and were on the D3a branch. Nucleotide homology and amino acid homology are somewhat different compared with representative strains in China and abroad. The full length of the CVA6 VP1 sequence was 915 bp, encoding 305 amino acids. Among the 200 prevalent strains in this study, 19 mutation sites were identified. Multiple transmission chains of CVA6 co-circulated in Jinhua City, exhibiting an enhanced virulence trend. There are multiple antigenic epitope amino acid variants in the VP1 gene.

Scientific ReportsVol. 15(1)
Jinhua Academy of Agricultural Sciences (CN), Jinhua Central Hospital (CN), Ningxia Center for Diseases Prevention and Control (CN)
Centers for Disease Control and Prevention
Openalex Percentile: Top 14%
Viral Infections and Immunology Research
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.