Evidence map›Paper›PMID 28531227›Full record

ArticlePloS one2017

Different microRNA profiles reveal the diverse outcomes induced by EV71 and CA16 infection in human umbilical vein endothelial cells using high-throughput sequencing.

Jie Song, Yajie Hu, Jiaqi Li, Huiwen Zheng, Jingjing Wang, Lei Guo, Ruotong Ning, Hongzhe Li, Zening Yang, Haitao Fan and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 31 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Jie SongYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.
Yajie HuYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.
Jiaqi LiYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.
Huiwen ZhengYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.
Jingjing WangYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.
Lei GuoYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.
Ruotong NingYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.
Hongzhe LiYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.
Zening YangYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.
Haitao FanYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.
Longding LiuYunnan Key Laboratory of Vaccine Research & Development on Severe Infections Disease, Institute of Medical Biology, Chinese Academy of Medical Science and Peking Union Medical College, Kunming, China.ORCID http://orcid.org/0000-0003-2623-5847
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enterovirus 71 (EV71) and Coxsackievirus A16 (CA16) remain the predominant pathogens in hand, foot, and mouth disease (HFMD), but the factors underlying the pathogenesis of EV71 and CA16 infections have not been elucidated. Recently, the functions of microRNAs (miRNAs) in pathogen-host interactions have been highlighted. In the present study, we performed comprehensive miRNA profiling in EV71- and CA16-infected human umbilical vein endothelial cells (HUVECs) at multiple time points using high-throughput sequencing. The results showed that 135 known miRNAs exhibited remarkable differences in expression. Of these, 30 differentially expressed miRNAs presented opposite trends in EV71- and CA16-infected samples. Subsequently, we mainly focused on the 30 key differentially expressed miRNAs through further screening to predict targets. Gene ontology (GO) and pathway analysis of the predicted targets showed the enrichment of 14 biological processes, 9 molecular functions, 8 cellular components, and 85 pathways. The regulatory networks of these miRNAs with predicted targets, GOs, pathways, and co-expression genes were determined, suggesting that miRNAs display intricate regulatory mechanisms during the infection phase. Consequently, we specifically analyzed the hierarchical GO categories of the predicted targets involved in biological adhesion. The results indicated that the distinct changes induced by EV71 and CA16 infection may be partly linked to the function of the blood-brain barrier. Taken together, this is the first report describing miRNA expression profiles in HUVECs with EV71 and CA16 infections using high-throughput sequencing. Our data provide useful insights that may help to elucidate the different host-pathogen interactions following EV71 and CA16 infection and offer novel therapeutic targets for these infections.

Indexed as

EnterovirusEnterovirus A, HumanEnterovirus InfectionsGene Expression RegulationGene OntologyGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsHumansHuman Umbilical Vein Endothelial CellsMicroRNAsModels, BiologicalSequence Analysis, RNASpecies SpecificityMicroRNAs

Identifiers

PMID28531227
PMCPMC5439704
OpenAlexW2618383005

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.