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.
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页数:12
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