Bioinformatics analysis of microRNAs related to blood stasis syndrome in diabetes mellitus patients.

Minghao Chen,Ruixue Chen,Yunfei Cai,Meixia Fang,Ya Xiao,Qiuer Liang,Liguo Chen

doi:10.1042/bsr20171208

Minghao Chen, Ruixue Chen + Show 5 more

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https://doi.org/10.1042/bsr20171208

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Abstract

In traditional Chinese medicine (TCM), blood stasis syndrome (BSS) is mainly manifested by the increase of blood viscosity, platelet adhesion rate and aggregation, and the change of microcirculation, resulting in vascular endothelial injury. It is an important factor in the development of diabetes mellitus (DM). The aim of the present study was to screen out the potential candidate microRNAs (miRNAs) in DM patients with BSS by high-throughput sequencing (HTS) and bioinformatics analysis. Human umbilical vein endothelial cells (HUVECs) were incubated with 10% human serum to establish models of DM with BSS, DM without BSS (NBS), and normal control (NC). Total RNA of each sample was extracted and sequenced by the Hiseq2000 platform. Differentially expressed miRNAs (DE-miRNAs) were screened between samples and compared with known changes in mRNA abundance. Target genes of miRNAs were predicted by softwares. Gene Ontology (GO) and pathway enrichment analysis of the target genes were conducted. According to the significantly enriched GO annotations and pathways (P-value ≤ 0.001), we selected the key miRNAs of DM with BSS. It showed that the number of DE-miRNAs in BSS was 32 compared with non-blood stasis syndrome (NBS) and NC. The potential candidate miRNAs were chosen from GO annotations in which target genes were significantly enriched (−log10 (P-value) > 5), which included miR-140-5p, miR-210, miR-362-5p, miR-590-3p, and miR-671-3p. The present study screened out the potential candidate miRNAs in DM patients with BSS by HTS and bioinformatics analysis. The miRNAs will be helpful to provide valuable suggestions on clinical studies of DM with BSS at the gene level.

Highlights

Diabetes mellitus (DM) is a chronic disease caused by lack of insulin secretion or lower biological effects of insulin
The potential candidate miRNAs were chosen from Gene Ontology (GO) annotations in which target genes were significantly enriched (−log10 (P-value) > 5), which included miR-140-5p, miR-210, miR-362-5p, miR-590-3p, and miR-671-3p
The clean miRNA reads of each sample were mapped to the human reference genome

Summary

Introduction

Diabetes mellitus (DM) is a chronic disease caused by lack of insulin secretion or lower biological effects of insulin. It is characterized by metabolic disorders of glucose, protein, and fat metabolism. The International Diabetes Federation (IDF) reported that 8.4% of all-cause deaths were attributable to DM in adults aged 20–79 years globally in 2014 [1]. It reported that there were 415 million patients with DM around the world in 2015, and there will be 642 million DM patients estimated in 2040. DM patients often have insulin resistance (IR) or compensatory insulin, which can cause organs involvement and lead to diseases, such as coronary heart disease (CHD), obesity, hypertension and dyslipidemia

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