Evidence map›Paper›PMID 41163005›Full record

ArticleVirology journal2025

ARFGAP1 serves as a critical host factor during E30 infection: QS11 inhibits viral pathogenesis in hFcRn-IFNAR

Jichen Li, Wei Duan, Ying Liu, Rui Wang, Qian Yang, Huijie Li, Yucai Liang, Jinbo Xiao, Jianfang Zhou, Qiang Sun and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Jichen LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Wei DuanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ying LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Rui WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Qian YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Huijie LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yucai LiangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jinbo XiaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jianfang ZhouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Qiang SunNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. sunqiang8611@126.com.
Yong ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. yongzhang75@sina.com.

Funding

National Disease Control and Prevention Administration Public Health Talent Training Support Project GJJKJ-2024-ZYNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID) grant ZDGWNLJS25-36National Key Research and Development Program of China 2021YFC2302003
6 · The paper itself

Abstract

Echovirus 30 (E30) is a positive-sense RNA virus in the Picornaviridae family, specifically within the Enterovirus genu. It is a known pathogen that causes severe infectious diseases in humans. However, mechanisms underlying viral infection remain poorly understood. Therefore, this study aims to elucidate the mechanisms underlying E30 infection. A whole-genome CRISPR/Cas9 gene knockout screen was employed, and it was observed that knocking out ADP-ribosylation factor GTPase activating protein 1 (ARFGAP1) significantly reduced E30 replication. Subsequent analysis revealed that ARFGAP1 influencing the early stages and internalization of viral infection. Transcriptomic analysis further demonstrated that ARFGAP1 plays a crucial role in vesicular transport. Animal infection studies demonstrated that QS11-mediated inhibition of ARFGAP1 significantly decreased viral replication in mice with homozygous gene knock-out of both the human neonatal Fc receptor and the interferon-alpha/beta receptor (hFcRn-IFNAR

Indexed as

GTPase-Activating ProteinsHost-Pathogen InteractionsAnimalsDisease Models, AnimalHumansMiceMice, KnockoutVirus ReplicationGTPase-Activating ProteinsARFGAP1CRISPR screeningEchovirus 30QS11

Identifiers

PMID41163005
PMCPMC12573814

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.