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结合生物信息学技术研究糖尿病生物标志物及相关分子机制。

Combining Bioinformatics Techniques to Study Diabetes Biomarkers and Related Molecular Mechanisms.

作者信息

Nie Han, Zhang Kaihua, Xu Jiasheng, Liao Kaili, Zhou Weimin, Fu Zhonghua

机构信息

Department of Vascular Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.

Department of General Surgery, Jiujiang Hospital Affiliated to Nanchang University, Nanchang, China.

出版信息

Front Genet. 2020 Apr 30;11:367. doi: 10.3389/fgene.2020.00367. eCollection 2020.

DOI:10.3389/fgene.2020.00367
PMID:32425976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7204005/
Abstract

OBJECTIVE

To explore the mechanism of plasma circulating miRNA-126 and miRNA-28-3p in diabetes mellitus (DM) patients, and to identify the related bioinformatics analysis.

METHODS

Randomly selected 120 DM patients as the observation group and 120 non- DM patients as the control group. The plasma circulating miRNA-126 and miRNA-28-3p were analyzed by qRT-PCR, and their target genes, biological information, related lncRNA and circRNA were predicted.

RESULTS

The circulating miRNA-126 (0.1162 ± 0.0236 vs. 0.0018 ± 0.0862) and miRNA-28-3p (0.1378 ± 0.0268 vs. 0.0006 ± 0.0167) levels in the observation group were significantly higher than those in the control group, and differences were statistically significant ( < 0.01). The Pearson correlation coefficient of miRNA-126 and miRNA- 28-3p was 0.4337 ( < 0.01). ROC curve analysis of miRNA-126 and miRNA-28-3p showed that the differences of the area under curve were statistically significant between the two groups ( < 0.01). Bioinformatics prediction showed that miRNA-126 and miRNA-28-3p may be involved in regulation of the insulin signaling pathway, insulin receptor signaling pathway, insulin/insulin growth factor signaling pathway, mitogen-activated protein kinase (MAPK) signaling pathway and angiogenesis. Moreover, it may be associated with a variety of lncRNA and cir-cRNA.

CONCLUSION

Circulating miRNA-126 and miRNA-28-3p can be a potential biomarker of DM and it may play an important role in the DM by regulating insulin or insulin growth factor related signaling pathways.

摘要

目的

探讨血浆循环miRNA-126和miRNA-28-3p在糖尿病(DM)患者中的作用机制,并进行相关生物信息学分析。

方法

随机选取120例DM患者作为观察组,120例非DM患者作为对照组。采用qRT-PCR分析血浆循环miRNA-126和miRNA-28-3p,并预测其靶基因、生物学信息、相关lncRNA和circRNA。

结果

观察组循环miRNA-126(0.1162±0.0236 vs. 0.0018±0.0862)和miRNA-28-3p(0.1378±0.0268 vs. 0.0006±0.0167)水平显著高于对照组,差异有统计学意义(<0.01)。miRNA-126与miRNA-28-3p的Pearson相关系数为0.4337(<0.01)。miRNA-126和miRNA-28-3p的ROC曲线分析显示,两组曲线下面积差异有统计学意义(<0.01)。生物信息学预测表明,miRNA-126和miRNA-28-3p可能参与胰岛素信号通路、胰岛素受体信号通路、胰岛素/胰岛素生长因子信号通路、丝裂原活化蛋白激酶(MAPK)信号通路及血管生成的调控。此外,其可能与多种lncRNA和circRNA相关。

结论

循环miRNA-126和miRNA-·28-3p可能成为DM的潜在生物标志物,且可能通过调节胰岛素或胰岛素生长因子相关信号通路在DM中发挥重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/daefdb95bb02/fgene-11-00367-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/c976a414a91e/fgene-11-00367-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/a03d2121462b/fgene-11-00367-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/5962be2267f3/fgene-11-00367-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/8328c5f6838b/fgene-11-00367-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/a1f62851f70d/fgene-11-00367-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/d41b6a5ef48f/fgene-11-00367-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/b4e3248e4492/fgene-11-00367-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/da3ca79ada44/fgene-11-00367-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/422cdc402fb7/fgene-11-00367-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/daefdb95bb02/fgene-11-00367-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/c976a414a91e/fgene-11-00367-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/a03d2121462b/fgene-11-00367-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/5962be2267f3/fgene-11-00367-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/8328c5f6838b/fgene-11-00367-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/a1f62851f70d/fgene-11-00367-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/d41b6a5ef48f/fgene-11-00367-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/b4e3248e4492/fgene-11-00367-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/da3ca79ada44/fgene-11-00367-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/422cdc402fb7/fgene-11-00367-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/252e/7204005/daefdb95bb02/fgene-11-00367-g010.jpg

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