Xiaoli Wang1, Xiangyun Chang1, Peipei Zhang1, Ling Fan1, Ting Zhou2, Kan Sun1. 1. Department of Endocrinology and Metabolism, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China. 2. Medical Experimental Laboratory, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China.
Abstract
BACKGROUND/AIMS: Long non-coding RNAs (lncRNAs) have emerged as key players in several biological processes and complex diseases. The risk of type 2 diabetes (T2D) is determined by a combination of environmental factors and genetic susceptibility. The purpose of this study was to identify aberrant lncRNAs involved in T2D pathogenesis. METHODS: Microarray analysis was performed using whole blood samples from patients newly diagnosed with T2D and healthy controls. Pathway and Gene Ontology (GO) analyses were utilized to annotate the target genes. Coding non-coding co-expression (CNC) analysis was performed to construct a co-expression network. RESULTS: We found 55 lncRNAs and 202 mRNAs were differentially expressed in the T2D group compared to the healthy control group. Pathway and GO analyses demonstrated that dysregulated mRNAs were mainly associated with immune regulation, inflammation, and insulin resistance, whereas CNC analysis identified 10 pairs of co-expressed lncRNA-mRNAs in our patient cohort (R > 0.99). Furthermore, expression of the top three upregulated lncRNAs in the T2D group was correlated with measures of glycometabolism (P < 0.05). CONCLUSION: This study identified aberrantly expressed lncRNAs and mRNAs in Han Chinese patients with T2D, and demonstrated that dysregulated lncRNAs may have roles in T2D pathogenesis through regulation of inflammation and insulin resistance.
BACKGROUND/AIMS: Long non-coding RNAs (lncRNAs) have emerged as key players in several biological processes and complex diseases. The risk of type 2 diabetes (T2D) is determined by a combination of environmental factors and genetic susceptibility. The purpose of this study was to identify aberrant lncRNAs involved in T2D pathogenesis. METHODS: Microarray analysis was performed using whole blood samples from patients newly diagnosed with T2D and healthy controls. Pathway and Gene Ontology (GO) analyses were utilized to annotate the target genes. Coding non-coding co-expression (CNC) analysis was performed to construct a co-expression network. RESULTS: We found 55 lncRNAs and 202 mRNAs were differentially expressed in the T2D group compared to the healthy control group. Pathway and GO analyses demonstrated that dysregulated mRNAs were mainly associated with immune regulation, inflammation, and insulin resistance, whereas CNC analysis identified 10 pairs of co-expressed lncRNA-mRNAs in our patient cohort (R > 0.99). Furthermore, expression of the top three upregulated lncRNAs in the T2D group was correlated with measures of glycometabolism (P < 0.05). CONCLUSION: This study identified aberrantly expressed lncRNAs and mRNAs in Han Chinese patients with T2D, and demonstrated that dysregulated lncRNAs may have roles in T2D pathogenesis through regulation of inflammation and insulin resistance.
Authors: B Alipoor; S Nikouei; F Rezaeinejad; S-N Malakooti-Dehkordi; Z Sabati; H Ghasemi Journal: J Endocrinol Invest Date: 2021-04-01 Impact factor: 4.256