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mRNAs expression profiles of high glucose-induced memory in human umbilical vein endothelial cells

Authors Jin G, Wang Q, Pei X, Li X, Hu X, Xu E, Li M

Received 24 February 2019

Accepted for publication 22 June 2019

Published 23 July 2019 Volume 2019:12 Pages 1249—1261


Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Muthuswamy Balasubramanyam

Guoxi Jin,1,2 Qiong Wang,2 Xiaoyan Pei,2 Xiaoli Li,2 Xiaolei Hu,2 Erqin Xu,3 Minglong Li1

1Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong 250021, People’s Republic of China; 2Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui 233004, People’s Republic of China; 3Room of Physical Diagnostics, Clinical College of Medicine, Bengbu Medical College, Bengbu, Anhui 233030, People’s Republic of China

Purpose: A long-term “memory” of hyperglycemic stress, even when glycemia is normalized, has been previously reported in endothelial cells. However, the molecular mechanism of “metabolic memory” (MM) remains unknown. In this report, we sought to screen at the whole transcriptome level the genes that participate in MM.
Methods: In the present research, RNA sequencing was used to determine the protein-coding mRNA expression profiles of human umbilical vein endothelial cells (HUVECs) under normal-glucose concentration (LG), high-glucose concentration (HG), and MM. A series of bioinformatic analyses was performed. HG-induced MM-involved up-regulated genes (up-HGMMGs) and HG-induced MM-involved down-regulated genes (down-HGMMGs) were identified. Afterward, based on up-HGMMGs and down-HGMMGs, the biological functions and signaling pathways were analyzed using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). In addition, several of the identified genes were validated by RT-qPCR.
Results: A total of 726 HGMMGs were identified, including 210 down- and 516 up-HGMMGs, which were enriched in the cell cycle (hsa04110), oocyte meiosis (hsa04114), p53 signaling pathway (hsa04115), and oxidative phosphorylation (hsa00190), among others. The protein–protein-interaction (PPI) network consisted of 462 nodes and 2656 connections, and four main modules were identified by MCODE. The cell cycle (hsa04110), oocyte meiosis (hsa04114), p53 signaling pathway (hsa04115), and oxidative phosphorylation (hsa00190), among others, could be potential therapeutic targets of HG-induced MM in endothelial cells. The real-time PCR results validated the RNA-seq data.
Conclusion: This study identified crucial mRNAs related to MM-persistent injury in endothelial cells even after switching the cells from high- glucose to normal glucose levels. Further research focusing on these mRNA may unravel new ways to modify MM in diabetes.

Keywords: diabetes, high glucose, metabolic memory, messenger RNA, RNA-sequencing

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