Evidence map›Paper›PMID 32552669›Full record

ArticleBMC genomics2020

Genome-wide profiling of host-encoded circular RNAs highlights their potential role during the Japanese encephalitis virus-induced neuroinflammatory response.

Yunchuan Li, Usama Ashraf, Zheng Chen, Dengyuan Zhou, Muhammad Imran, Jing Ye, Huanchun Chen, Shengbo Cao

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

22 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  7. Article
  8. Review
  9. Circular RNAs in Brain Physiology and Neurologic Diseases.Advances in experimental medicine and biology · 2025
    Review
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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 1 institution in 1 country.

Yunchuan LiState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Usama AshrafState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Zheng ChenState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Dengyuan ZhouState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Muhammad ImranState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Jing YeState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Huanchun ChenState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Shengbo CaoState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. sbcao@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-9787-7882
Huazhong Agricultural University · CN

Funding

Fundamental Research Funds for the Central Universities 2662018QD025National Natural Science Foundation of China (CN) 31572517National Natural Science Foundation of China (CN) 31825025Natural Science Foundation of Hubei Province 2019CFA010
6 · The paper itself

Abstract

backgroundJapanese encephalitis virus (JEV) is one of the common causes of acute encephalitis in humans. Japanese encephalitis is characterized by the uncontrolled release of inflammatory cytokines, which ultimately results in neuronal cell damage. In recent years, with the advancement of high-throughput sequencing technology, studies have shown that circRNAs, by competing with endogenous miRNAs, play a vital role in the pathology of CNS diseases. However, it is unknown whether circRNAs participate in JEV-induced neuroinflammation.

resultsBy employing Illumina RNA-sequencing, we identified 180 circRNAs and 58 miRNAs that showed significant differential expression in JEV-infected mice brain tissues. The functional enrichment analyses revealed that these differentially regulated circRNAs were predominantly related to neurotransmission, histone modifications, transcription misregulation, and inflammation-associated calcium signaling pathway. Our established competing endogenous RNA (ceRNA) interaction network suggested the correlation of several circRNAs, miRNAs, and mRNAs in regulating the inflammatory response during JEV infection. Among the predicted interactions, the correlation between circ_0000220, miR-326-3p, and BCL3/MK2/TRIM25 mRNAs was experimentally validated by knockdown or overexpression of the non-coding RNA entities in cultured mouse microglia. The knockdown of circ_0000220 or overexpression of miR-326-3p caused a lower production of JEV-induced inflammatory cytokines.

conclusionsConclusively, our study provides new insights into the host response to JEV infection and proposes the circRNA-targeting therapeutic interventions to rein in Japanese encephalitis.

Indexed as

AnimalsB-Cell Lymphoma 3 ProteinCells, CulturedDNA-Binding ProteinsEncephalitis, JapaneseEncephalitis Virus, JapaneseExome SequencingGene Expression RegulationGene Knockdown TechniquesGene Regulatory NetworksHigh-Throughput Nucleotide SequencingIntracellular Signaling Peptides and ProteinsMAP-Kinase-Activated Kinase 2MiceMicrogliaMicroRNAsB-Cell Lymphoma 3 ProteinBcl3 protein, mouseDNA-Binding ProteinsIntracellular Signaling Peptides and ProteinsMAP-Kinase-Activated Kinase 2MicroRNAsMIRN326 microRNA, mouseProtein Serine-Threonine KinasesRNA, CircularTranscription FactorsTrim25 protein, mouseceRNAcircRNAJapanese encephalitis virusNeuroinflammation

Identifiers

PMID32552669
PMCPMC7301528
OpenAlexW3036051370

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.