Angong Niuhuang Pill Attenuates Myocardial Infarction Through IL-17-Related Inflammatory Modulation and Mitochondrial Quality Control: Multi-Layer Analysis and Experimental Validation

作者：Zixuan Zhang, Huoli Yin, Xinchi Qu, Guangyun Chen, Feng Gao, Yixuan Lin, Zhuoqian Guo, Jingyi Jiao, Yuhao Gu, Xiaohui Jia, Yongji Liu, Jincheng Guo, 崔鹤蓉, Haimin Lei · 发表于：Chemistry · 年份：2026 · DOI：10.3390/chemistry8060082 · 研究领域：Cardiac Fibrosis and Remodeling、Atherosclerosis and Cardiovascular Diseases、Inflammasome and immune disorders

Background: Acute myocardial infarction (AMI) remains the most lethal critical emergency worldwide. Although Angong Niuhuang Pill (ANP) is an established rescue medicine that has demonstrated outstanding therapeutic potential for cardiovascular diseases, its modern molecular mechanism has never been systematically elucidated because of its chemical complexity and unidentified targets. Methods: This study utilizes a multi-layer analytical pipeline of AI mining, network pharmacology, transcriptomics, and experimental confirmation. The components of ANP were comprehensively identified by UHPLC-Q Exactive Orbitrap HRMS. The TranSiGen algorithm was utilized to deeply mine the data and rank the components according to their relevance to AMI. The top 20 components were selected as prior weights and introduced into network pharmacology for analysis. Subsequently, a mouse model of AMI was established by ligating the left coronary artery. Cardiac function in the mice was evaluated by echocardiography and serum biochemical indicators. The pathological changes in the heart tissue were assessed by hematoxylin-eosin (H&E) and Masson staining. Cardiac transcriptome sequencing was performed, and pathway enrichment was analyzed by KEGG. The key pathways were verified by qPCR and immunofluorescence, achieving cross-validation between AI prediction and experimental findings. Results: The identification of ANP resulted in the detection of a total of 73 compounds, and the TranSiGen algorithm ...