Li Xiang, Wu Jian, Kang Le, Li Xuan, Tan Weijiang, Zheng Shuang, Jia Jianguo, Wang Shijun, Yang Chunjie, Ren Xuecong, Chen Honghua, Gong Hui, Cheng Kuan, Sun Huan, Yang Fenghua, Zou Yunzeng
Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai, China; Guangdong Provincial Biotechnology Research Institute (Guangdong Provincial Laboratory Animals Monitoring Center), Guangzhou, China.
Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
JACC Basic Transl Sci. 2025 Sep 16;10(10):101324. doi: 10.1016/j.jacbts.2025.101324.
Although the prevalence of aortic regurgitation (AR), which causes eccentric remodeling and valvular heart disease (VHD), is increasing, suitable animal research models remain lacking. To address this issue, we established the first efficient, real-time visualized minimally invasive aortic regurgitation surgery mouse model by performing echocardiography-guided aortic valve tear using a modified insulin needle. The clinically relevant features of this AR model were verified by multimodal analysis, and feature genes closely associated with AR-induced VHD were obtained by time series analysis in conjunction with weighted gene co-expression network analysis. The results may provide comprehensive insights into the mechanistic study and potential therapeutic targets of AR-induced VHD.
尽管导致离心性重塑和瓣膜性心脏病（VHD）的主动脉瓣关闭不全（AR）患病率正在上升，但合适的动物研究模型仍然缺乏。为了解决这个问题，我们通过使用改良胰岛素针进行超声心动图引导下的主动脉瓣撕裂，建立了首个高效、实时可视化的微创主动脉瓣关闭不全手术小鼠模型。通过多模态分析验证了该AR模型的临床相关特征，并通过时间序列分析结合加权基因共表达网络分析获得了与AR诱导的VHD密切相关的特征基因。这些结果可能为AR诱导的VHD的机制研究和潜在治疗靶点提供全面的见解。
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