Tian Caiming, Ouyang Xiaoxi, Lv Qing, Zhang Yaou, Xie Weidong
Department of Chemistry, Tsinghua University, Beijing 100084, P.R. China ; Shenzhen Key Laboratory of Health Science and Technology, Division of Life Science and Health, Graduate School at Shenzhen, Tsinghua University, Shenzhen, Guangdong 518055, P.R. China.
Department of Health Inspection and Quarantine, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China.
Biomed Rep. 2015 May;3(3):333-342. doi: 10.3892/br.2015.426. Epub 2015 Feb 12.
Network cross-talks between microRNAs (miRNAs) and mRNAs may be useful to elucidate the pathological mechanisms of pancreatic islet cells in diabetic individuals. The aim of the present study was to investigate the cross-talks between miRNAs and mRNAs in pancreatic tissues of streptozotocin-induced diabetic mice through microarray and bioinformatic methods. Based on the miRNA microarray, 64 upregulated and 72 downregulated miRNAs were observed in pancreatic tissues in diabetic mice compared to the normal controls. Based on the mRNA microarrray, 507 upregulated mRNAs and 570 downregulated mRNAs were identified in pancreatic tissues in diabetic mice compared to the normal controls. Notably, there were 246 binding points between upregulated miRNA and downregulated mRNAs; simultaneously, there were 583 binding points between downregulated miRNA and upregulated mRNAs. These changed mRNA may potentially involve the following signaling pathways: Insulin secretion, pancreatic secretion, mammalian target of rapamycin signaling pathway, forkhead box O signaling pathway and phosphatidylinositol 3-kinase-protein kinase B signaling. The fluctuating effects of miRNAs and matched mRNAs indicated that miRNAs may have wide cross-talks with mRNAs in pancreatic tissues of type 1 diabetic mice. The cross-talks may play important roles in contributing to impaired islet functions and the development of diabetes. However, further functional validation should be conducted in the future.
微小RNA（miRNA）与信使核糖核酸（mRNA）之间的网络串扰可能有助于阐明糖尿病个体胰岛细胞的病理机制。本研究的目的是通过微阵列和生物信息学方法，研究链脲佐菌素诱导的糖尿病小鼠胰腺组织中miRNA与mRNA之间的串扰。基于miRNA微阵列，与正常对照相比，在糖尿病小鼠的胰腺组织中观察到64个上调的miRNA和72个下调的miRNA。基于mRNA微阵列，与正常对照相比，在糖尿病小鼠的胰腺组织中鉴定出507个上调的mRNA和570个下调的mRNA。值得注意的是，上调的miRNA与下调的mRNA之间有246个结合点；同时，下调的miRNA与上调的mRNA之间有583个结合点。这些变化的mRNA可能潜在地涉及以下信号通路：胰岛素分泌、胰腺分泌、雷帕霉素哺乳动物靶标信号通路、叉头框O信号通路和磷脂酰肌醇3-激酶-蛋白激酶B信号通路。miRNA与匹配的mRNA的波动效应表明，miRNA可能在1型糖尿病小鼠的胰腺组织中与mRNA有广泛的串扰。这种串扰可能在导致胰岛功能受损和糖尿病发展中起重要作用。然而，未来应进行进一步的功能验证。
