miR-10b-3p, miR-8112 and let-7j as potential biomarkers for autoimmune inner ear diseases
miR-10b-3p, miR-8112 and let-7j as potential biomarkers for autoimmune inner ear diseases
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miR-10b-3p、miR-8112 和 let-7j 作为自身免疫性内耳疾病的潜在生物标志物
DOI:
10.3892/mmr.2019.10248
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发表时间:
2019-05
影响因子:
3.4
通讯作者:
Xu Anting
中科院分区:
文献类型:
--
作者:
Zhang Juhong;Wang Na;Xu Anting
Circulating microRNAs (miRNAs) have been suggested as non-invasive biomarkers for the diagnosis of several autoimmune diseases. However, to the best of our knowledge, no studies have yet examined the miRNA expression profiles in autoimmune inner ear disease (AIED). The present study aimed to use an miRNA sequencing assay to detect the miRNA expression profiles of serum samples from 3 control mice and 3 antigen-induced AIED model mice. Differentially expressed miRNAs (DE-miRNAs) were screened using a t-test. miRNA target prediction was performed using TargetScan Mouse. Then, the miRNA-target gene interaction network was constructed and visualized using Cytoscape software. The underlying functions of the target genes of the DE-miRNAs were predicted using the clusterProfiler package. As a result, 22 miRNAs were identified as DE-miRNAs between AIED and control mice, including 10 upregulated and 12 downregulated genes. Based on the TargetScan Mouse prediction, 1,958 genes were identified as the targets for the 22 DE-miRNAs. Functional analysis indicated that only the target genes of 8 miRNAs were respectively enriched for Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways, among which miR-10b-3p, let-7j and miR-8112 were shared between the two pathway analyses. These 3 miRNAs may be involved in AIED by affecting inflammatory chemokine (miR-10b-3p-C-C motif chemokine 12), Wnt signaling (miR-8112-Wnt9b/Wnt 3a/Wnt2b) and Mucin type O-glycan biosynthesis pathways (let-7j-Galnt2/Galnt12). In conclusion, miR-10b-3p, miR-8112 and let-7j may be underlying biomarkers for diagnosing AIED.
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影响因子:
9
作者:
Liu L;Chen Y;Qi J;Zhang Y;He Y;Ni W;Li W;Zhang S;Sun S;Taketo MM;Wang L;Chai R;Li H
通讯作者:
Li H
影响因子:
5.8
作者:
Gu, Zuguang;Eils, Roland;Schlesner, Matthias
通讯作者:
Schlesner, Matthias
影响因子:
4.4
作者:
Ishida, Waka;Fukuda, Ken;Fukushima, Atsuki
通讯作者:
Fukushima, Atsuki
DOI:
10.1590/1414-431x20176426
发表时间:
2018-01-11
期刊:
Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas
影响因子:
--
作者:
Li YH;Yang Y;Yan YT;Xu LW;Ma HY;Shao YX;Cao CJ;Wu X;Qi MJ;Wu YY;Chen R;Hong Y;Tan XH;Yang L
通讯作者:
Yang L
影响因子:
27.4
作者:
Chen, L.;Al-Mossawi, M. H.;Bowness, P.
通讯作者:
Bowness, P.