Journal
MOLECULAR MEDICINE REPORTS
Volume 15, Issue 4, Pages 2143-2153Publisher
SPANDIDOS PUBL LTD
DOI: 10.3892/mmr.2017.6239
Keywords
serum microRNA; type 2 diabetes mellitus; quantitative polymerase chain reaction array; type 2 diabetes mellitus candidate genes; Kyoto Encyclopedia of Genes and Genomes pathway analysis
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Funding
- National Natural Science Foundation of China [81102703]
- Science and Technology Planning Project of Guangdong Province of China [2013A032500005]
- Administration of Traditional Chinese Medicine of Guangdong Province of China [20123001]
- Special Funds from Central Finance of China in Support of the Development of Local Colleges and Universities [338]
- Natural Science Foundation for Fostering of Guangdong Pharmaceutical University of China [GYFYLH201303]
- South China Chinese Medicine Collaborative Innovation Center [A1-AFD01514A05]
- China Scholarship Council as a joint PhD student at the University of Pennsylvania, USA
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Type 2 diabetes mellitus (T2DM) is characterized by islet beta-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.
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