Constructing a competitive endogenous RNA network of EndMT-related atherosclerosis through weighted gene co-expression network analysis.
Constructing a competitive endogenous RNA network of EndMT-related atherosclerosis through weighted gene co-expression network analysis.
复制标题
通过加权基因共表达网络分析构建与ENDMT相关的动脉粥样硬化的竞争性内源性RNA网络。
DOI:
10.3389/fcvm.2023.1322252
复制
发表时间:
2023
影响因子:
3.6
通讯作者:
Cao, Jiahui
中科院分区:
文献类型:
--
作者:
Li, Yawei;Wu, Yubiao;Qin, Xiude;Gu, Jinchao;Liu, Aijun;Cao, Jiahui
Atherosclerosis is a chronic inflammatory disease characterized by endothelial dysfunction and plaque formation. Under pro-inflammatory conditions, endothelial cells can undergo endothelial-to-mesenchymal transition (EndMT), contributing to atherosclerosis development. However, the specific regulatory mechanisms by which EndMT contributes to atherosclerosis remain unclear and require further investigation. Dan-Shen-Yin (DSY), a traditional Chinese herbal formula, is commonly used for cardiovascular diseases, but its molecular mechanisms remain elusive. Emerging evidence indicates that competing endogenous RNA (ceRNA) networks play critical roles in atherosclerosis pathogenesis. In this study, we constructed an EndMT-associated ceRNA network during atherosclerosis progression by integrating gene expression profiles from the Gene Expression Omnibus (GEO) database and weighted gene co-expression network analysis. Functional enrichment analysis revealed this EndMT-related ceRNA network is predominantly involved in inflammatory responses. ROC curve analysis showed the identified hub genes can effectively distinguish between normal vasculature and atherosclerotic lesions. Furthermore, Kaplan-Meier analysis demonstrated that high expression of IL1B significantly predicts ischemic events in atherosclerosis. Molecular docking revealed most DSY bioactive components can bind key EndMT-related lncRNAs, including AC003092.1, MIR181A1HG, MIR155HG, WEE2-AS1, and MIR137HG, suggesting DSY may mitigate EndMT in atherosclerosis by modulating the ceRNA network.
登录
查看更多内容
影响因子:
3
作者:
Langfelder P;Horvath S
通讯作者:
Horvath S
影响因子:
14.9
作者:
Li JH;Liu S;Zhou H;Qu LH;Yang JH
通讯作者:
Yang JH
影响因子:
4
作者:
Chen M;Chen S;Yang D;Zhou J;Liu B;Chen Y;Ye W;Zhang H;Ji L;Zheng Y
通讯作者:
Zheng Y
影响因子:
14.9
作者:
Kang J;Tang Q;He J;Li L;Yang N;Yu S;Wang M;Zhang Y;Lin J;Cui T;Hu Y;Tan P;Cheng J;Zheng H;Wang D;Su X;Chen W;Huang Y
通讯作者:
Huang Y
影响因子:
20.8
作者:
Chen, Pei-Yu;Qin, Lingfeng;Simons, Michael
通讯作者:
Simons, Michael