Literature DB >> 33284878

Differential expression and bioinformatic analysis of circRNA in nonalcoholic steatohepatitis cirrhosis.

Yuexin Fan1, Yang Zheng2, Jiahui Wang2, Tiejian Zhao3, Tianjian Liang2.   

Abstract

AIM: This study investigates the expression profile of circRNA in nonalcoholic steatohepatitis (NASH) cirrhosis and identifies the underlying pathogenesis of core genes of NASH cirrhosis.
METHODS: The GEO 134146 dataset was obtained from GEO database. EdgeR software was used to analyze the differential expression of circRNA between NASH cirrhosis samples and normal samples, and Starbase and miRWalk databases were used to predict the targeted miRNA and mRNA. The protein-protein interaction network of these target genes was established by searching the string database of interacting genes, Cytoscape and Mcode analysis. In addition, David and Omicshare were used to analyze the functional enrichment and pathway enrichment of target genes.
RESULTS: We evaluated 99 differentially expressed circRNAs, 27 of which were up-regulated, and 72 were down-regulated. A regulatory network consisting of 10 circRNAs, 30 miRNAs, and 1217 mRNAs was further constructed. The differential expression of circRNA is closely related to the functions of "target gene transcriptional regulation", "protein binding", "serine/threonine kinase", etc. The difference in circRNA is mainly related to the "MAPK" signaling pathway and the "FoxO" signaling pathway.
CONCLUSIONS: This study confirmed the abnormal regulation of circRNA in NASH cirrhosis. Bioinformatic analysis showed that abnormal expression of circRNA might be related to the occurrence and development of NASH cirrhosis. IJCEP
Copyright © 2020.

Entities:  

Keywords:  Bioinformatics; NASH; circRNA; cirrhosis

Year:  2020        PMID: 33284878      PMCID: PMC7716119     

Source DB:  PubMed          Journal:  Int J Clin Exp Pathol        ISSN: 1936-2625


  37 in total

1.  Fibrosis stage is the strongest predictor for disease-specific mortality in NAFLD after up to 33 years of follow-up.

Authors:  Mattias Ekstedt; Hannes Hagström; Patrik Nasr; Mats Fredrikson; Per Stål; Stergios Kechagias; Rolf Hultcrantz
Journal:  Hepatology       Date:  2015-03-23       Impact factor: 17.425

2.  It's DE-licious: A Recipe for Differential Expression Analyses of RNA-seq Experiments Using Quasi-Likelihood Methods in edgeR.

Authors:  Aaron T L Lun; Yunshun Chen; Gordon K Smyth
Journal:  Methods Mol Biol       Date:  2016

3.  Weight Loss Through Lifestyle Modification Significantly Reduces Features of Nonalcoholic Steatohepatitis.

Authors:  Eduardo Vilar-Gomez; Yadina Martinez-Perez; Luis Calzadilla-Bertot; Ana Torres-Gonzalez; Bienvenido Gra-Oramas; Licet Gonzalez-Fabian; Scott L Friedman; Moises Diago; Manuel Romero-Gomez
Journal:  Gastroenterology       Date:  2015-04-10       Impact factor: 22.682

4.  Macrophage p38α promotes nutritional steatohepatitis through M1 polarization.

Authors:  Xiang Zhang; Lina Fan; Jianfeng Wu; Hongzhi Xu; Wing Yan Leung; Kaili Fu; Jingtong Wu; Ken Liu; Kwan Man; Xiaoyong Yang; Jiahuai Han; Jianlin Ren; Jun Yu
Journal:  J Hepatol       Date:  2019-03-23       Impact factor: 25.083

5.  Effects of Chaihu-Shugan-San and Shen-Ling-Bai-Zhu-San on p38 MAPK Pathway in Kupffer Cells of Nonalcoholic Steatohepatitis.

Authors:  Qin-He Yang; Yong-Jian Xu; Yi-Zhen Liu; Yin-Ji Liang; Gao-Fei Feng; Yu-Pei Zhang; Hui-Jie Xing; Hai-Zhen Yan; Yuan-Yuan Li
Journal:  Evid Based Complement Alternat Med       Date:  2014-03-25       Impact factor: 2.629

Review 6.  CircRNA: functions and properties of a novel potential biomarker for cancer.

Authors:  Shujuan Meng; Hecheng Zhou; Ziyang Feng; Zihao Xu; Ying Tang; Peiyao Li; Minghua Wu
Journal:  Mol Cancer       Date:  2017-05-23       Impact factor: 27.401

7.  Antagonizing circRNA_002581-miR-122-CPEB1 axis alleviates NASH through restoring PTEN-AMPK-mTOR pathway regulated autophagy.

Authors:  Xi Jin; Jianguo Gao; Ruoheng Zheng; Mosang Yu; Yue Ren; Tianlian Yan; Yue Huang; Youming Li
Journal:  Cell Death Dis       Date:  2020-02-13       Impact factor: 8.469

8.  Serum Wisteria floribunda agglutinin-positive Mac-2-binding protein levels predict the presence of fibrotic nonalcoholic steatohepatitis (NASH) and NASH cirrhosis.

Authors:  Naim Alkhouri; Casey Johnson; Leon Adams; Sachiko Kitajima; Chikayuki Tsuruno; Tracey L Colpitts; Kazuki Hatcho; Eric Lawitz; Rocio Lopez; Ariel E Feldstein
Journal:  PLoS One       Date:  2018-08-30       Impact factor: 3.240

9.  miRWalk: An online resource for prediction of microRNA binding sites.

Authors:  Carsten Sticht; Carolina De La Torre; Alisha Parveen; Norbert Gretz
Journal:  PLoS One       Date:  2018-10-18       Impact factor: 3.240

10.  miRDB: an online database for prediction of functional microRNA targets.

Authors:  Yuhao Chen; Xiaowei Wang
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

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