Evidence map›Paper›PMID 38828746›Full record

ArticleEmerging microbes & infections2024

Genetic variation and evolutionary characteristics of Echovirus 11: new variant within genotype D5 associated with neonatal death found in China.

Liu Ying, Sun Qiang, Xiao Jinbo, Ren Binzhi, Zhao Hua, Shi Yong, Zhou Shuaifeng, Hong Mei, Zhou Kangping, Cun Jianping and 19 more

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2024. 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.

  1. Article
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  7. Neonatal acute liver failure cases with echovirus 11 infections, Japan, August to November 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    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

29 authors.

Liu YingNational 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, People's Republic of China.
Sun QiangNational 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, People's Republic of China.
Xiao JinboNational 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, People's Republic of China.
Ren BinzhiPathogen Detection Laboratory, Shanxi Provincial Center for Disease Control and Prevention, Shanxi, People's Republic of China.
Zhao HuaPathogen Detection Laboratory, Chongqing Provincial Center for Disease Control and Prevention, Chongqing, People's Republic of China.
Shi YongPathogen Detection Laboratory, Jiangxi Provincial Center for Disease Control and Prevention, Jiangxi, People's Republic of China.
Zhou ShuaifengPathogen Detection Laboratory, Hunan Provincial Center for Disease Control and Prevention, Hunan, People's Republic of China.
Hong MeiPathogen Detection Laboratory, Xizang Provincial Center for Disease Control and Prevention, Xizang, People's Republic of China.
Zhou KangpingPathogen Detection Laboratory, Hubei Provincial Center for Disease Control and Prevention, Hubei, People's Republic of China.
Cun JianpingPathogen Detection Laboratory, Yunnan Provincial Center for Disease Control and Prevention, Yunnan, People's Republic of China.
Zeng YuntingPathogen Detection Laboratory, Hainan Provincial Center for Disease Control and Prevention, Hainan, People's Republic of China.
Chen JianhuaPathogen Detection Laboratory, Gansu Provincial Center for Disease Control and Prevention, Gansu, People's Republic of China.
Ge QiongPathogen Detection Laboratory, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, People's Republic of China.
Ju YuPathogen Detection Laboratory, Guangxi Provincial Center for Disease Control and Prevention, Guangxi, People's Republic of China.
Lu HuanhuanNational 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, People's Republic of China.
Li JichenNational 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, People's Republic of China.
Cong RuyiNational 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, People's Republic of China.
Yang TingtingNational 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, People's Republic of China.
Wang RuiNational 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, People's Republic of China.
Zong YanjunNational 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, People's Republic of China.
Sun TiantianNational 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, People's Republic of China.
Yu LihengNational 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, People's Republic of China.
Wang XiaoyiNational 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, People's Republic of China.
Zhu ShuangliNational 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, People's Republic of China.
Yan DongmeiNational 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, People's Republic of China.
Ji TianjiaoNational 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, People's Republic of China.
Yang QianNational 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, People's Republic of China.
Zhu ZhenNational 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, People's Republic of China.
Zhang YongNational 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, People's Republic of China.ORCID 0000-0002-2692-5437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Echovirus 11 (E11) has gained attention owing to its association with severe neonatal infections. From 2018 to 2023, a surge in severe neonatal cases and fatalities linked to a novel variant of genotype D5 was documented in China, France, and Italy. However, the prevention and control of E11 variants have been hampered by limited background data on the virus circulation and genetic variance. Therefore, the present study investigated the circulating dynamics of E11 and the genetic variation and molecular evolution of genotype D5 through the collection of strains from the national acute flaccid paralysis (AFP) and hand, foot, and mouth disease (HFMD) surveillance system in China during 2000-2022 and genetic sequences published in the GenBank database. The results of this study revealed a prevalent dynamic of E11 circulation, with D5 being the predominant genotype worldwide. Further phylogenetic analysis of genotype D5 indicated that it could be subdivided into three important geographic clusters (D5-CHN1: 2014-2019, D5-CHN2: 2016-2022, and D5-EUR: 2022-2023). Additionally, variant-specific (144) amino acid mutation sites and positive-selection pressure sites (132, 262) were identified in the

Indexed as

Enterovirus B, HumanEvolution, MolecularGenetic VariationGenotypePhylogenyChinaEchovirus InfectionsHand, Foot and Mouth DiseaseHumansInfantInfant, NewbornEchovirus 11Enterovirusgene recombinationmolecular epidemiologyvariantsvirus evolutionvirus transmission

Identifiers

PMID38828746
PMCPMC11159588

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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.