机构:[1]Department of Biochemistry and Molecular Biology, School of Basic Courses, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510006[2]Pi-Wei Institute, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405深圳市中医院深圳医学信息中心[3]Department of Traditional Chinese Medicine[4]Clinical Laboratory, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong 510080, P.R. China
Type 2 diabetes mellitus (T2DM) is characterized by islet β-cell dysfunction and insulin resistance, which leads to an inability to maintain blood glucose homeostasis. Circulating microRNAs (miRNAs) have been suggested as novel biomarkers for T2DM prediction or disease progression. However, miRNAs and their roles in the pathogenesis of T2DM remain to be fully elucidated. In the present study, the serum miRNA expression profiles of T2DM patients in Chinese cohorts were examined. Total RNA was extracted from serum samples of 10 patients with T2DM and five healthy controls, and these was used in reverse-transcription‑quantitative polymerase chain reaction analysis with the Exiqon PCR system of 384 serum/plasma miRNAs. A total of seven miRNAs were differentially expressed between the two groups (fold change >3 or <0.33; P<0.05). The serum expression levels of miR‑455‑5p, miR‑454‑3p, miR‑144‑3p and miR‑96‑5p were higher in patients with T2DM, compared with those of healthy subjects, however, the levels of miR‑409‑3p, miR‑665 and miR‑766‑3p were lower. Hierarchical cluster analysis indicated that it was possible to separate patients with T2DM and control individuals into their own similar categories by these differential miRNAs. Target prediction showed that 97 T2DM candidate genes were potentially modulated by these seven miRNAs. Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that 24 pathways were enriched for these genes, and the majority of these pathways were enriched for the targets of induced and repressed miRNAs, among which insulin, adipocytokine and T2DM pathways, and several cancer‑associated pathways have been previously associated with T2DM. In conclusion, the present study demonstrated that serum miRNAs may be novel biomarkers for T2DM and provided novel insights into the pathogenesis of T2DM.
基金:
This study was supported by the National Natural Science Foundation of China (grant no. 81102703 to Professor Ze-Min Yang), the Science and Technology Planning Project of Guangdong Province of China (grant no. 2013A032500005 to Professor Ze-Min Yang), the Administration of Traditional Chinese Medicine of Guangdong Province of China (grant no. 20123001 to Professor Wei-Wen Chen), the Special Funds from Central Finance of China in Support of the Development of Local Colleges and Universities in 2013 (grant no. 338 to Professor Wei-Wen Chen), the Natural Science Foundation for Fostering of Guangdong Pharmaceutical University of China (grant no. GYFYLH201303 to Professor Ze-Min Yang), and the South China Chinese Medicine Collaborative Innovation Center (grant no. A1-AFD01514A05 to Professor Wei-Wen Chen). Dr Long-Hui Chen received support from the China Scholarship Council as a joint PhD student at the University of Pennsylvania, USA.
语种:
外文
PubmedID:
中科院(CAS)分区:
出版当年[2016]版:
大类|4 区医学
小类|4 区医学:研究与实验4 区肿瘤学
最新[2025]版:
大类|4 区医学
小类|4 区医学:研究与实验4 区肿瘤学
第一作者:
第一作者机构:[1]Department of Biochemistry and Molecular Biology, School of Basic Courses, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510006[*1]Department of Biochemistry and Molecular Biology, School of Basic Courses, Guangdong Pharmaceutical University, 280 Waihuan Road East, Guangzhou, Guangdong 510006, P.R. China
通讯作者:
通讯机构:[1]Department of Biochemistry and Molecular Biology, School of Basic Courses, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510006[*1]Department of Biochemistry and Molecular Biology, School of Basic Courses, Guangdong Pharmaceutical University, 280 Waihuan Road East, Guangzhou, Guangdong 510006, P.R. China
推荐引用方式(GB/T 7714):
Yang Ze-Min,Chen Long-Hui,Hong Min,et al.Serum microRNA profiling and bioinformatics analysis of patients with type 2 diabetes mellitus in a Chinese population.[J].Molecular medicine reports.2017,15(4):2143-2153.doi:10.3892/mmr.2017.6239.
APA:
Yang Ze-Min,Chen Long-Hui,Hong Min,Chen Ying-Yu,Yang Xiao-Rong...&Chen Wei-Wen.(2017).Serum microRNA profiling and bioinformatics analysis of patients with type 2 diabetes mellitus in a Chinese population..Molecular medicine reports,15,(4)
MLA:
Yang Ze-Min,et al."Serum microRNA profiling and bioinformatics analysis of patients with type 2 diabetes mellitus in a Chinese population.".Molecular medicine reports 15..4(2017):2143-2153