Differential expression profiles of plasma exosomal microRNAs in dilated cardiomyopathy with chronic heart failure

被引:17
作者
Zhang, Li [1 ,2 ,3 ]
Zhang, Ge [1 ,2 ,3 ]
Lu, Yongzheng [1 ,2 ,3 ]
Gao, Jiamin [1 ,2 ,3 ]
Qin, Zhen [1 ,2 ,3 ]
Xu, Shuai [1 ,2 ,3 ]
Wang, Zeyu [1 ,2 ,3 ]
Xu, Yanyan [1 ,2 ,3 ]
Yang, Yu [1 ,2 ,3 ]
Zhang, Jinying [1 ,2 ,3 ,4 ]
Tang, Junnan [1 ,2 ,3 ,4 ]
机构
[1] Zhengzhou Univ, Dept Cardiol, Affiliated Hosp 1, Zhengzhou, Peoples R China
[2] Henan Prov Key Lab Cardiac Injury & Repair, Zhengzhou, Peoples R China
[3] Henan Prov Clin Res Ctr Cardiovasc Dis, Zhengzhou, Peoples R China
[4] Zhengzhou Univ, Dept Cardiol, Affiliated Hosp 1, Zhengzhou 450052, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
computational biology; dilated cardiomyopathy; exosome; heart failure; microRNA; PATHWAY; PROLIFERATION; GENETICS; ETIOLOGY; SIZE;
D O I
10.1111/jcmm.17789
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
As one of the most prevalent heritable cardiovascular diseases, dilated cardiomyopathy (DCM) induces cardiac insufficiency and dysfunction. Although genetic mutation has been identified one of the causes of DCM, the usage of genetic biomarkers such as RNAs for DCM early diagnosis is still being overlooked. In addition, the alternation of RNAs could reflect the progression of the diseases, as an indicator for the prognosis of patients. Therefore, it is beneficial to develop genetic based diagnostic tool for DCM. RNAs are often unstable within circulatory system, leading to the infeasibility for clinical application. Recently discovered exosomal miRNAs have the stability that is then need for diagnostic purpose. Hence, fully understanding of the exosomal miRNA within DCM patients is vital for clinical translation. In this study, we employed the next generation sequencing based on the plasma exosomal miRNAs to comprehensively characterize the miRNAs expression in plasma exosomes from DCM patients exhibiting chronic heart failure (CHF) compared to healthy individuals. A complex landscape of differential miRNAs and target genes in DCM with CHF patients were identified. More importantly, we discovered that 92 differentially expressed miRNAs in DCM patients undergoing CHF were correlated with several enriched pathways, including oxytocin signalling pathway, circadian entrainment, hippo signalling pathway-multiple species, ras signalling pathway and morphine addiction. This study reveals the miRNA expression profiles in plasma exosomes in DCM patients with CHF, and further reveal their potential roles in the pathogenesis of it, presenting a new direction for clinical diagnosis and management of DCM patients with CHF.
引用
收藏
页码:1988 / 2003
页数:16
相关论文
共 64 条
[1]   Disrupting the key circadian regulator CLOCK leads to age-dependent cardiovascular disease [J].
Alibhai, Faisal J. ;
LaMarre, Jonathan ;
Reitz, Cristine J. ;
Tsimakouridze, Elena V. ;
Kroetsch, Jeffrey T. ;
Bolz, Steffen-Sebastian ;
Shulman, Alex ;
Steinberg, Samantha ;
Burris, Thomas P. ;
Oudit, Gavin Y. ;
Martino, Tami A. .
JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY, 2017, 105 :24-37
[2]   Oxytocin protects rat heart against ischemia reperfusion injury via pathway involving mitochondrial ATP-dependent potassium channel [J].
Alizadeh, Ali Mohammad ;
Faghihi, Mandieh ;
Sadeghipour, Harnid Reza ;
MohammadGhasemi, Fahimeh ;
Imani, Alireza ;
Houshmand, Fariba ;
Khorid, Vahid .
PEPTIDES, 2010, 31 (07) :1341-1345
[3]   Aetiology of heart failure as seen from a national cardiac referral centre in Africa [J].
Amoah, AGB ;
Kallen, C .
CARDIOLOGY, 2000, 93 (1-2) :11-18
[4]   Systematic permutation testing in GWAS pathway analyses: identification of genetic networks in dilated cardiomyopathy and ulcerative colitis [J].
Backes, Christina ;
Ruehle, Frank ;
Stoll, Monika ;
Haas, Jan ;
Frese, Karen ;
Franke, Andre ;
Lieb, Wolfgang ;
Wichmann, H-Erich ;
Weis, Tanja ;
Kloos, Wanda ;
Lenhof, Hans-Peter ;
Meese, Eckart ;
Katus, Hugo ;
Meder, Benjamin ;
Keller, Andreas .
BMC GENOMICS, 2014, 15
[5]   Metazoan MicroRNAs [J].
Bartel, David P. .
CELL, 2018, 173 (01) :20-51
[6]   Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites [J].
Betel, Doron ;
Koppal, Anjali ;
Agius, Phaedra ;
Sander, Chris ;
Leslie, Christina .
GENOME BIOLOGY, 2010, 11 (08)
[7]   Clinical and Mechanistic Insights Into the Genetics of Cardiomyopathy [J].
Burke, Michael A. ;
Cook, Stuart A. ;
Seidman, Jonathan G. ;
Seidman, Christine E. .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2016, 68 (25) :2871-2886
[8]   Estimation of ELISA results using a parallel curve analysis [J].
Bursa, Francis ;
Yellowlees, Ann ;
Bishop, Alka ;
Beckett, Angela ;
Hallis, Bassam ;
Matheson, Mary .
JOURNAL OF IMMUNOLOGICAL METHODS, 2020, 486
[9]   miRNA Temporal Analyzer (mirnaTA): a bioinformatics tool for identifying differentially expressed microRNAs in temporal studies using normal quantile transformation [J].
Cer, Regina Z. ;
Herrera-Galeano, J. Enrique ;
Anderson, Joseph J. ;
Bishop-Lilly, Kimberly A. ;
Mokashi, Vishwesh P. .
GIGASCIENCE, 2014, 3
[10]   miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology [J].
Chang, Le ;
Zhou, Guangyan ;
Soufan, Othman ;
Xia, Jianguo .
NUCLEIC ACIDS RESEARCH, 2020, 48 (W1) :W244-W251