Bioinformatic-based Identification of Genes Associated with Aortic Valve Stenosis

被引:1
作者
Song, Chao [1 ]
Wei, Shixiong [1 ]
Fan, Yunlong [1 ]
Jiang, Shengli [1 ,2 ]
机构
[1] Med Sch Chinese PLA, Beijing 100853, Peoples R China
[2] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Cardiovasc Surg, 28 Fuxing Rd, Beijing 100853, Peoples R China
关键词
EXPRESSION PROFILE; UP-REGULATION; DISEASE; HEART; RNA; CALCIFICATION; PATHOGENESIS; INFILTRATION; MECHANISMS; GENOMICS;
D O I
10.1532/hsf.4263
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Aortic valve stenosis (AS) disease is the most common valvular disease in developed countries. The pathology of AS is complex, and its main processes include calcification of the valve stroma and involve genetic factors, lipoprotein deposition and oxidation, chronic inflammation, osteogenic transition of cardiac valve interstitial cells, and active valve calcification. The aim of this study was to identify potential genes associated with AS. Methods: Three original gene expression profiles (GSE153555, GSE12644, and GSE51472) were downloaded from the Gene Expression Omnibus (GEO) database and analyzed by GEO2R tool or 'limma' in R to identify differentially expressed genes (DEGs). Functional enrichment was analyzed using the ClusterProfiler package in R Bioconductor. STRING was utilized for the Protein-Protein Interaction (PPI) Network construct, and tissue-specific gene expression were identified using BioGPS database. The hub genes were screened out using the Cytoscape software. Related miRNAs were predicted in Targetscan, miWalk, miRDB, Hoctar, and TarBase. Results: A total of 58 upregulated genes and 20 downregulated genes were screened out, which were mostly enriched in matrix remodeling and the immune system process. A module was thus clustered into by PPI network analysis, which mainly involved in Fc gamma R-mediated phagocytosis, Osteoclast differentiation. Ten genes (IBSP, NCAM1, MMP9, FCGR3B, COL4A3, FCGR1A, THY1, RUNX2, ITGA4, and COL10A1) with the highest degree scores were subsequently identified as the hub genes for AS by applying the CytoHubba plugin. And hsa-miR-1276 was finally identified as potential miRNA and miRNA-gene regulatory network was constructed using NetworkAnalyst. Conclusions: Our analysis suggested that IBSP, NCAM1, MMP9, FCGR3B, COL4A3, FCGR1A, THY1, RUNX2, ITGA4, and COL10A1 might be hub genes associated with AS, and hsa-miR-1276 was potential miRNA. This result could provide novel insight into pathology and therapy of AS in the future.
引用
收藏
页码:E69 / E78
页数:10
相关论文
共 78 条
  • [1] TGF-β1 affects cell-cell adhesion in the heart in an NCAM1-dependent mechanism
    Ackermann, Maegen A.
    Petrosino, Jennifer M.
    Manring, Heather R.
    Wright, Patrick
    Shettigar, Vikram
    Kilic, Ahmet
    Janssen, Paul M. L.
    Ziolo, Mark T.
    Accornero, Federica
    [J]. JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY, 2017, 112 : 49 - 57
  • [2] Multimodality molecular imaging identifies proteolytic and osteogenic activities in early aortic valve disease
    Aikawa, Elena
    Nahrendorf, Matthias
    Sosnovik, David
    Lok, Vincent M.
    Jaffer, Farouc A.
    Aikawa, Masanori
    Weissleder, Ralph
    [J]. CIRCULATION, 2007, 115 (03) : 377 - 386
  • [3] Current Progress in Bioinformatics 2016
    Altman, Russ
    [J]. BRIEFINGS IN BIOINFORMATICS, 2016, 17 (01) : 1 - 1
  • [4] Genetic Variation in NCAM1 Contributes to Left Ventricular Wall Thickness in Hypertensive Families
    Arnett, Donna K.
    Meyers, Kristin J.
    Devereux, Richard B.
    Tiwari, Hemant K.
    Gu, Charles C.
    Vaughan, Laura K.
    Perry, Rodney T.
    Patki, Amit
    Claas, Steven A.
    Sun, Yan V.
    Broeckel, Ulrich
    Kardia, Sharon L.
    [J]. CIRCULATION RESEARCH, 2011, 108 (03) : 279 - U27
  • [5] NCBI GEO: archive for functional genomics data sets-update
    Barrett, Tanya
    Wilhite, Stephen E.
    Ledoux, Pierre
    Evangelista, Carlos
    Kim, Irene F.
    Tomashevsky, Maxim
    Marshall, Kimberly A.
    Phillippy, Katherine H.
    Sherman, Patti M.
    Holko, Michelle
    Yefanov, Andrey
    Lee, Hyeseung
    Zhang, Naigong
    Robertson, Cynthia L.
    Serova, Nadezhda
    Davis, Sean
    Soboleva, Alexandra
    [J]. NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) : D991 - D995
  • [6] Calcific Aortic Valve Stenosis and Atherosclerotic Calcification
    Barros de Oliveira Sa, Michel Pompeu
    Cavalcanti, Luiz Rafael P.
    Perazzo, Alvaro M.
    Gomes, Rafael A. F.
    Clavel, Marie-Annick
    Pibarot, Philippe
    Biondi-Zoccai, Giuseppe
    Zhigalov, Konstantin
    Weymann, Alexander
    Ruhparwar, Arjang
    Lima, Ricardo Carvalho
    [J]. CURRENT ATHEROSCLEROSIS REPORTS, 2020, 22 (02)
  • [7] Genomics:: The next step to elucidate the etiology of calcific aortic valve stenosis
    Bosse, Yohan
    Mathieu, Patrick
    Pibarot, Philippe
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2008, 51 (14) : 1327 - 1336
  • [8] Refining Molecular Pathways Leading to Calcific Aortic Valve Stenosis by Studying Gene Expression Profile of Normal and Calcified Stenotic Human Aortic Valves
    Bosse, Yohan
    Miqdad, Ahmed
    Fournier, Dominique
    Pepin, Andree
    Pibarot, Philippe
    Mathieu, Patrick
    [J]. CIRCULATION-CARDIOVASCULAR GENETICS, 2009, 2 (05) : 489 - U185
  • [9] Human degenerative valve disease is associated with up-regulation of low-density lipoprotein receptor-related protein 5 receptor-mediated bone formation
    Caira, FC
    Stock, SR
    Gleason, TG
    McGee, EC
    Huang, J
    Bonow, RO
    Spelsberg, TC
    McCarthy, PM
    Rahimtoola, SH
    Rajamannan, NM
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2006, 47 (08) : 1707 - 1712
  • [10] Aortic stenosis
    Carabello, Blase A.
    Paulus, Walter J.
    [J]. LANCET, 2009, 373 (9667) : 956 - 966