Bioinformatics-Based Identification of CircRNA-MicroRNA-mRNA Network for Calcific Aortic Valve Disease

被引:1
|
作者
Song, Linghong [1 ,2 ]
Wang, Yubing [1 ,2 ]
Feng, Yufei [1 ,2 ]
Peng, Hao [1 ,2 ]
Wang, Chengyan [1 ,2 ]
Duan, Juncang [3 ]
Liu, Kejian [4 ]
Shen, Xihua [1 ,2 ]
Gu, Wenyi [5 ]
Qi, Yan [1 ,2 ,6 ,7 ]
Jin, Shan [1 ,2 ]
Pang, Lijuan [1 ,2 ,6 ,7 ]
机构
[1] Shihezi Univ, Sch Med, Affiliated Hosp 1, NHC Key Lab Prevent & Treatment Cent Asia High Inc, Shihezi, Xinjiang, Peoples R China
[2] Shihezi Univ, Key Lab Xinjiang Endem & Ethn Dis, Sch Med, Shihezi, Xinjiang, Peoples R China
[3] Jinhua Municipal Cent Hosp, Dept Cardiol, Jinhua, Zhejiang, Peoples R China
[4] Shihezi Univ, Affiliated Hosp 1, Dept Cardiol, Sch Med, Shihezi, Xinjiang, Peoples R China
[5] Univ Queensland, Australian Inst Bioengn & Nanotechnol, St Lucia, Australia
[6] Guangdong Med Univ, Cent Peoples Hosp Zhanjiang, Dept Pathol, Zhanjiang, Guangdong, Peoples R China
[7] Guangdong Med Univ, Zhanjiang Cent Hosp, Zhanjiang, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
INTERSTITIAL-CELLS; PROLIFERATION; TARGETS;
D O I
10.1155/2023/8194338
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background. Calcific aortic valve disease (CAVD) is the most common native valve disease. Valvular interstitial cell (VIC) osteogenic differentiation and valvular endothelial cell (VEC) dysfunction are key steps in CAVD progression. Circular RNA (circRNAs) is involved in regulating osteogenic differentiation with mesenchymal cells and is associated with multiple disease progression, but the function of circRNAs in CAVD remains unknown. Here, we aimed to investigate the effect and potential significance of circRNA-miRNA-mRNA networks in CAVD. Methods. Two mRNA datasets, one miRNA dataset, and one circRNA dataset of CAVD downloaded from GEO were used to identify DE-circRNAs, DE-miRNAs, and DE-mRNAs. Based on the online website prediction function, the common mRNAs (FmRNAs) for constructing circRNA-miRNA-mRNA networks were identified. GO and KEGG enrichment analyses were performed on FmRNAs. In addition, hub genes were identified by PPI networks. Based on the expression of each data set, the circRNA-miRNA-hub gene network was constructed by Cytoscape (version 3.6.1). Results. 32 DE-circRNAs, 206 DE-miRNAs, and 2170 DE-mRNAs were identified. Fifty-nine FmRNAs were obtained by intersection. The KEGG pathway analysis of FmRNAs was enriched in pathways in cancer, JAK-STAT signaling pathway, cell cycle, and MAPK signaling pathway. Meanwhile, transcription, nucleolus, and protein homodimerization activity were significantly enriched in GO analysis. Eight hub genes were identified based on the PPI network. Three possible regulatory networks in CAVD disease were obtained based on the biological functions of circRNAs including: hsa_circ_0026817-hsa-miR-211-5p-CACNA1C, hsa_circ_0007215-hsa-miR-1252-5p-MECP2, and hsa_circ_0007215-hsa-miR-1343-3p- RBL1. Conclusion. The present bionformatics analysis suggests the functional effect for the circRNA-miRNA-mRNA network in CAVD pathogenesis and provides new targets for therapeutics.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Identification of the circRNA-miRNA-mRNA Regulatory Network in Bladder Cancer by Bioinformatics Analysis
    Lv, Jiancheng
    Chang, Ping-an
    Li, Xin
    Yang, Xiao
    Han, Jie
    Yu, Hao
    Zhou, Zijian
    Yang, Haiwei
    Li, Pengchao
    Zhang, Jiexiu
    Lu, Qiang
    INTERNATIONAL JOURNAL OF GENOMICS, 2021, 2021
  • [22] Identification of the circRNA-miRNA-mRNA regulatory network in osteoarthritis using bioinformatics analysis
    Xu, Wen-Bin
    Kotheeranurak, Vit
    Zhang, Huang-Lin
    Feng, Jin-Yi
    Liu, Jing-Wei
    Chen, Chien-Min
    Lin, Guang-Xun
    Rui, Gang
    FRONTIERS IN GENETICS, 2022, 13
  • [23] Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD
    Liu, Xiao
    Qu, Jingge
    Xue, Weixiao
    He, Liangai
    Wang, Jun
    Xi, Xuejiao
    Liu, Xiaoxia
    Yin, Yunhong
    Qu, Yiqing
    INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE, 2018, 13 : 1217 - 1228
  • [24] Identification of a functional circRNA-miRNA-mRNA regulatory network in infantile hemangioma by bioinformatics analysis
    Gu, Da
    Lou, Huanmin
    Li, Yang
    Xu, Guangqi
    MEDICINE, 2022, 101 (39) : E30791
  • [25] Analysis of Osteopontin Levels for the Identification of Asymptomatic Patients With Calcific Aortic Valve Disease
    Grau, Juan B.
    Poggio, Paolo
    Sainger, Rachana
    Vernick, William J.
    Seefried, William F.
    Branchetti, Emanuela
    Field, Benjamin C.
    Bavaria, Joseph E.
    Acker, Michael A.
    Ferrari, Giovanni
    ANNALS OF THORACIC SURGERY, 2012, 93 (01): : 79 - 86
  • [26] ORIGINAL RESEARCH Identification of circRNA-miRNA-mRNA Regulatory Network and Autophagy Interaction Network in Atrial Fibrillation Based on Bioinformatics Analysis
    Chao, Xiaoying
    Dai, Weiran
    Li, Shuo
    Jiang, Chenyang
    Jiang, Zhiyuan
    Zhong, Guoqiang
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2021, 14 : 8527 - 8540
  • [27] Regulatory network of IncRNA, microRNA and circRNA based on disease similarity
    Ouyang, Yi
    Zheng, Xianghan
    2018 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, BIG DATA AND BLOCKCHAIN (ICCBB 2018), 2018, : 128 - 130
  • [28] Construction of a circRNA-miRNA-mRNA Regulatory Network for Coronary Artery Disease by Bioinformatics Analysis
    Zhang, Zebo
    Qian, Haiyan
    Wang, Li
    Tao, Zhenbo
    Cheng, Keai
    Wang, Kaiyue
    Xie, Yanqing
    Zhang, Lina
    CARDIOLOGY RESEARCH AND PRACTICE, 2022, 2022
  • [29] Bioinformatics-Based Analysis of lncRNA-mRNA Interaction Network of Mild Hepatic Encephalopathy in Cirrhosis
    Wang, Ke
    Lu, Yanzhen
    Zhao, Zhifeng
    Zhang, Chihao
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2021, 2021
  • [30] Bioinformatics-based identification of lipid- and immune-related biomarkers in abdominal aortic aneurysms
    Li, Yuejin
    Li, Rougang
    Guo, Shikui
    Li, Yu
    Wang, Yongzhi
    Wen, Xin
    Lan, Tian
    Gong, Kunmei
    HELIYON, 2023, 9 (02)