Weighted Gene Coexpression Network Analysis Identified MicroRNA Coexpression Modules and Related Pathways in Type 2 Diabetes Mellitus

Weighted Gene Coexpression Network Analysis Identified MicroRNA Coexpression Modules and Related Pathways in Type 2 Diabetes Mellitus
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DOI:
10.1155/2019/9567641
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发表时间:
2019-12-13
影响因子:
--
通讯作者:
Yao, Yan
Yao, Yan
中科院分区:
生物学2区
文献类型:
--
作者:
Feng, Tianyu;Li, Kexin;Yao, Yan

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Objective. 2型糖尿病(T2 DM)是一种发病率较高的代谢性疾病,已严重影响人类的生命健康。MicroRNA是一种短链非编码RNA,在2型糖尿病发病中起重要作用。鉴定有意义的microRNA模块和microRNA的作用为寻找T2 DM的潜在生物标志物提供了基础。材料和方法。本研究选取3例初诊T2 DM患者和3例对照者进行外周血RNA测序,建立microRNA文库。采用加权基因共表达网络分析(WGCNA)构建共表达模块,检测与性状相关的microRNA模块;采用KEGG富集分析预测目标模块的生物学功能,并通过模块隶属度(MM)和蛋白质相互作用(PPI)网络筛选候选hub microRNA。结果.四个microRNA模块(蓝色,棕色,洋红色和青绿色)与T2 DM高度相关;这些模块中的miRNA数量范围从41到469。Fc γ R介导的吞噬途径、Rap 1信号途径、MAPK信号途径和溶酶体途径是四个模块中的三个模块的常见途径。RPS 27 A、UBC和RAC 1是我们研究中的前三种蛋白质;它们对应的RNA是miR-1271- 5 p、miR-130 a-3 p、miR-130 b-3 p和miR-574- 3 p。结论总之,本研究使用RNA测序鉴定了人类T2 DM中的血液miRNA。这些发现可能是理解miRNA在T2 DM中的潜在作用的基础。
Objective. Type 2 diabetes mellitus (T2DM) is a metabolic disease with high incidence, which has seriously affected human life and health. MicroRNA, a short-chain noncoding RNA, plays an important role in T2DM. Identification of meaningful microRNA modules and the role of microRNAs provide a basis for searching potential biomarkers of T2DM. Materials and Methods. In this study, three newly diagnosed patients with T2DM and three controls were selected for Whole Peripheral Blood RNA Sequencing to establish a microRNA library. Weighted gene coexpression network analysis (WGCNA) was applied to construct coexpression modules and to detect the trait-related microRNA modules; then, KEGG enrichment analysis was performed to predict the biological function of the interest modules, and candidate hub microRNAs were screened out by the value of module membership (MM) and protein-protein interaction (PPI) network. Result. Four microRNA modules (blue, brown, magenta, and turquoise) were highly associated with the T2DM; the number of miRNAs in these modules ranged from 41 to 469. The Fc gamma R-mediated phagocytosis pathway, Rap1 signaling pathway, MAPK signaling pathway, and Lysosome pathway were common pathways in three of the four modules. RPS27A, UBC, and RAC1 were the top three proteins in our study; their corresponding RNAs were miR-1271-5p, miR-130a-3p, miR-130b-3p, and miR-574-3p. Conclusion. In summary, this study identified blood miRNAs in human T2DM using RNA sequencing. The findings may be the foundation for understanding the potential role of miRNAs in T2DM.