Systematic Proteomic Characterization of EV‐A71‐Infected Mice Identifies Dynamic Molecular Changes and Therapeutic Targets

Enterovirus A71 (EV-A71) is recognized as the primary causative agent of hand, foot, and mouth disease (HFMD) and is prevalent worldwide. However, the precise pathogenic mechanisms of EV-A71 remain unclear, and specific drugs targeting it have yet to be successfully developed. To explore the mechanisms underlying EV-A71 pathogenesis and to identify potential therapeutic opportunities, we performed a comprehensive proteogenomic characterization of muscle tissues from BALB/c mice infected with EV-A71, integrating transcriptomic, proteomic, and phosphoproteomic analyses. Our results showed that phagosome, complement, and coagulation cascade pathway-related molecules were activated, and the expression of cell growth-related molecules was downregulated. Concurrently, a rapid activation of the neutrophil extracellular trap pathway was observed at the protein level. Additionally, we mapped the global phosphorylation profiles to dysregulated kinases, predicting 32 drugs corresponding to 27 kinases. We found that kinase inhibitors have antiviral activity in vitro; vandetanib, nintedanib, dasatinib, avitinib, and nilotinib can inhibit virus replication in mice to some extent. Overall, this study provides a multi-omics resource for elucidating EV-A71-induced alterations in target tissues and for linking omics-based target discovery with drug screening and functional validation, providing new insights into both pathogenesis and therapeutic exploration.

Authors

Institutions

Publication Details

Journal
MedComm
Published
2026-04-01
DOI
https://doi.org/10.1002/mco2.70668
Primary Topic
Viral Infections and Immunology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic Proteomic Characterization of EV‐A71‐Infected Mice Identifies Dynamic Molecular Changes and Therapeutic Targets

Lihong Zhang, Binbin Zhao, Zhaohua Wang, Wanjun Peng et al.
MedComm
Viral Infections and Immunology Research
article

Systematic Proteomic Characterization of EV‐A71‐Infected Mice Identifies Dynamic Molecular Changes and Therapeutic Targets

Lihong Zhang, Binbin Zhao, Zhaohua Wang, Wanjun Peng, Na Rong, Jiangning Liu, Xiaohui Wei, Kaihui Liu, Jiangfeng Liu, Qiaochu Wang, Jing Wu, Juntao Yang
article en

Abstract

Enterovirus A71 (EV-A71) is recognized as the primary causative agent of hand, foot, and mouth disease (HFMD) and is prevalent worldwide. However, the precise pathogenic mechanisms of EV-A71 remain unclear, and specific drugs targeting it have yet to be successfully developed. To explore the mechanisms underlying EV-A71 pathogenesis and to identify potential therapeutic opportunities, we performed a comprehensive proteogenomic characterization of muscle tissues from BALB/c mice infected with EV-A71, integrating transcriptomic, proteomic, and phosphoproteomic analyses. Our results showed that phagosome, complement, and coagulation cascade pathway-related molecules were activated, and the expression of cell growth-related molecules was downregulated. Concurrently, a rapid activation of the neutrophil extracellular trap pathway was observed at the protein level. Additionally, we mapped the global phosphorylation profiles to dysregulated kinases, predicting 32 drugs corresponding to 27 kinases. We found that kinase inhibitors have antiviral activity in vitro; vandetanib, nintedanib, dasatinib, avitinib, and nilotinib can inhibit virus replication in mice to some extent. Overall, this study provides a multi-omics resource for elucidating EV-A71-induced alterations in target tissues and for linking omics-based target discovery with drug screening and functional validation, providing new insights into both pathogenesis and therapeutic exploration.

MedCommVol. 7(4)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Institute of Laboratory Animal Science (CN)
Openalex Percentile: Top 31%
Viral Infections and Immunology Research
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.