Evidence map›Paper›PMID 34410499›Full record

ArticleArchives of virology2021

circRNA expression patterns and circRNA-miRNA-mRNA networks during CV-A16 infection of SH-SY5Y cells.

Yajie Hu, Ruian Yang, Wei Zhao, Chen Liu, Yan Tan, Dandan Pu, Jie Song, Yunhui Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Archives of virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Circular RNAs in Immune-Related Diseases.Advances in experimental medicine and biology · 2025
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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

8 authors at 2 institutions in 1 country.

Yajie Hu *Department of Respiratory Medicine, The First People's Hospital of Yunnan Province, Kunming, China.
Ruian Yang *Department of Respiratory Medicine, The First People's Hospital of Yunnan Province, Kunming, China.
Wei ZhaoDepartment of Respiratory Medicine, The First People's Hospital of Yunnan Province, Kunming, China.
Chen LiuDepartment of Respiratory Medicine, The First People's Hospital of Yunnan Province, Kunming, China.
Yan TanDepartment of Respiratory Medicine, The First People's Hospital of Yunnan Province, Kunming, China.
Dandan PuDepartment of Respiratory Medicine, The First People's Hospital of Yunnan Province, Kunming, China.
Jie SongInstitute of Medical Biology, Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China. songjiekm@163.com.
Yunhui ZhangDepartment of Respiratory Medicine, The First People's Hospital of Yunnan Province, Kunming, China. zhangyh123kh@163.com.ORCID http://orcid.org/0000-0001-9971-0528
Kunming University of Science and Technology · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Applied Basic Research Foundation of Yunnan Province 2019FB018Applied Basic Research Foundation of Yunnan Province (CN) 2018ZF006Doctoral Fund of the First People's Hospital of Yunnan Province KHBS-2020-013Fundamental Research Funds for the Central Universities and PUMC Youth Fund (3332019004Medical Reserve Talents of Yunnan Province Health and Family Planning H-2017034Medical Reserve Talents of Yunnan Province Health and Family Planning H-2019061Young Scientists Fund 32000128
6 · The paper itself

Abstract

Coxsackievirus A16 (CV-A16) has caused worldwide epidemics of hand, foot, and mouth disease (HFMD) in infants and preschool children. Circular RNAs (circRNAs), a class of noncoding RNA molecules, participate in the progression of viral infectious diseases. Although the function of circRNAs has been a heavily researched topic, their role in CV-A16 infection is still unclear. In this study, the viral effects of CV-A16 on the cellular circRNA transcriptome were investigated using next-generation sequencing technology. The results showed that a total of 8726, 8611, and 6826 circRNAs were identified at 0, 12, and 24 h postinfection, respectively. Moreover, it was found that 1769 and 1192 circRNAs were differentially expressed in at 12 and 24 h postinfection, respectively. The common differentially expressed circRNAs were used for functional annotation analysis, and it was found that the parent genes of differentially expressed circRNAs might be associated with the viral infection process, especially the "Immune system process" in GO analysis and the "Inflammation mediated by chemokine and cytokine signaling pathway" in KEGG analysis. Subsequently, circRNA-miRNA-mRNA regulatory networks were constructed, and the hsa_circ_0004447/hsa-miR-942-5p/MMP2, hsa_circ_0078617/hsa-miR-6780b-5p/MMP2 and hsa_circ_0078617/hsa-miR-5196-5p/MMP2 regulatory axes were identified by enrichment analysis as important networks during the progression of CV-A16 infection. Finally, six dysregulated circRNAs were selected for validation and were verified to be consistent with the sequencing results. Considering all of these results, to the best of our knowledge, this study is the first to present a comprehensive overview of circRNAs induced by CV-A16 infection, and this research demonstrated that a network of enriched circRNAs and circRNA-associated competitive endogenous RNAs (ceRNAs) is involved in the regulation of CV-A16 infection, thereby helping to elucidate the mechanisms underlying CV-A16-host interactions.

Indexed as

Cell Line, TumorComputational BiologyEnterovirus A, HumanEnterovirus InfectionsGene Regulatory NetworksHost-Pathogen InteractionsHumansMicroRNAsReproducibility of ResultsRNA, CircularRNA, MessengerVirus ReplicationMicroRNAsMIRN5196 microRNA, humanMIRN942 microRNA, humanRNA, CircularRNA, Messenger

Identifiers

PMID34410499
PMCPMC8373607
OpenAlexW3134167167

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.