Circulating miR-3659 may be a potential biomarker of dyslipidemia in patients with obesity
Circulating miR-3659 may be a potential biomarker of dyslipidemia in patients with obesity
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DOI：
10.1186/s12967-019-1776-8
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发表时间：
2019-01-14
影响因子：
7.4
通讯作者：
Lin, Wei-Xiong
中科院分区：
文献类型：
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作者：
Miao, Liu;Yin, Rui-Xing;Lin, Wei-Xiong
本研究试图找出肥胖人群中与血脂异常相关的关键基因和miRNAs，并探讨其可能的作用机制。采用加权基因共表达网络(WGCNA)软件进行WGCNA分析，以grey60模块为相关性最高的模块。该模块的基因本体论注释和京都基因和基因组百科全书(KEGG)路径富集化分析通过ClusterProfiler和DUSIGN软件包进行。结果I型胶原蛋白α1链基因(COL1A1)具有最显著的意义。经过生物信息学分析，我们发现了四个能够与COL1A1中3UTR中的SNP结合的miRNAs(hsa-miR-3659、hsa-miR-4658、hsa-miR151a-5p和hsa-miR-151b)。经RT-qPCR验证，仅有两个miRNAs(hsa-miR-3659和hSA-miR151a-5p)具有统计学意义。结论miR-3659和miR-151a-5p在ROC曲线下的面积分别为0.806和0.769，对血脂异常有较好的诊断价值。循环miR-3659可能是肥胖患者血脂异常的潜在生物标志物。
BackgroundThe present study attempted to identify potential key genes and miRNAs of dyslipidemia in obese, and to investigate the possible mechanisms associated with them.MethodsThe microarray data of GSE66676 were downloaded, including 67 obese samples from the Gene Expression Omnibus (GEO) database. The weighted gene co-expression network (WGCNA) analysis was performed using WGCNA package and grey60 module was considered as the highest correlation. Gene Ontology annotation and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for this module were performed by clusterProfiler and DOSE package. A protein-protein interaction (PPI) network was established using Cytoscape software, and significant modules were analyzed using molecular complex detection.ResultsCollagen type I alpha 1 chain gene (COL1A1) had the best significant meaning. After bioinformatic analysis, we identified four miRNAs (hsa-miR-3659, hsa-miR-4658, hsa-miR151a-5p and hsa-miR-151b) which can bind SNPs in 3UTR in COL1A1. After validation with RT-qPCR, only two miRNAs (hsa-miR-3659 and hsa-miR151a-5p) had statistical significance.ConclusionsThe area of 0.806 for miR-3659 and 0.769 for miR-151a-5p under the ROC curve (AUC) may have good diagnostic value for dyslipidemia. Circulating miR-3659 may be a potential biomarker of dyslipidemia in patients with obesity.