Xin Ding , Min Xu , Ya Zhang , Cuiping Long , Xuemei Su , Yang Zhang , Yan Qiao , Xingxing Zhang , Qian Zhou , Guangguo Tan , Jing Ma
{"title":"四维蛋白质组学与网络药理学相结合,揭示西尼煎剂对心肌梗死多成分多靶点作用的分子机制","authors":"Xin Ding , Min Xu , Ya Zhang , Cuiping Long , Xuemei Su , Yang Zhang , Yan Qiao , Xingxing Zhang , Qian Zhou , Guangguo Tan , Jing Ma","doi":"10.1016/j.jpba.2024.116526","DOIUrl":null,"url":null,"abstract":"<div><div><em>Sini</em> Decoction (SND) has been proven to be an effective formula to alleviate cardiac injury of myocardial infarction (MI). However, the potential mechanism of SND remains unclear. In this study, the MI rat model was established by ligating the left anterior descending coronary artery. A total of 17 SND-distributed components in heart were identified by using ultra-high performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOFMS). The combination of four-dimensional (4D) proteomics and network pharmacology was employed to find the potential targets for therapeutic intervention, and molecular docking and cellular thermal shift assay (CETSA) were used to reveal the interactions between the potential targets and the potential active components distributed in heart of SND. 33 SND-effected proteins were identified by 4D proteomics, which was involved in carbon metabolism, fatty acid metabolism, valine, leucine and isoleucine degradation, tricarboxylic acid (TCA) cycle and PPAR signaling pathway. 17 potential SND-targeted direct proteins were screened by comparing SND-effected proteins generated from 4D proteomics with the MI-related proteins obtained from disease database. The potential relationships between 17 components and 17 potential SND-targeted direct proteins were established by molecular docking analysis, in which songorine, benzoylhypaconine, hypaconine, formononetin, and liquiritigenin could be bound to the surrounding amino acid residues in the binding pocket of Mtor, Parp1, Acadm, Crat, and Aldh2. Then, CETSA analysis further confirmed that songorine and benzoylhypaconine could increase the heat stability of Mtor and Parp1 in cardiac tissue lysate, respectively, which suggested that there existed direct interactions between songorine and Mtor, and benzoylhypaconine and Parp1. In summary, this work concluded that SND produced cardioprotective effects mainly through preserving energy metabolism, also demonstrated that the combination of 4D proteomics and network pharmacology was a promising tool for uncovering the molecular mechanisms of multi-components multi-targets effects of TCM.</div></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integration of four-dimensional proteomics and network pharmacology to reveal molecular mechanisms of multi-components multi-targets effects of Sini decoction on myocardial infarction\",\"authors\":\"Xin Ding , Min Xu , Ya Zhang , Cuiping Long , Xuemei Su , Yang Zhang , Yan Qiao , Xingxing Zhang , Qian Zhou , Guangguo Tan , Jing Ma\",\"doi\":\"10.1016/j.jpba.2024.116526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div><em>Sini</em> Decoction (SND) has been proven to be an effective formula to alleviate cardiac injury of myocardial infarction (MI). However, the potential mechanism of SND remains unclear. In this study, the MI rat model was established by ligating the left anterior descending coronary artery. A total of 17 SND-distributed components in heart were identified by using ultra-high performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOFMS). The combination of four-dimensional (4D) proteomics and network pharmacology was employed to find the potential targets for therapeutic intervention, and molecular docking and cellular thermal shift assay (CETSA) were used to reveal the interactions between the potential targets and the potential active components distributed in heart of SND. 33 SND-effected proteins were identified by 4D proteomics, which was involved in carbon metabolism, fatty acid metabolism, valine, leucine and isoleucine degradation, tricarboxylic acid (TCA) cycle and PPAR signaling pathway. 17 potential SND-targeted direct proteins were screened by comparing SND-effected proteins generated from 4D proteomics with the MI-related proteins obtained from disease database. The potential relationships between 17 components and 17 potential SND-targeted direct proteins were established by molecular docking analysis, in which songorine, benzoylhypaconine, hypaconine, formononetin, and liquiritigenin could be bound to the surrounding amino acid residues in the binding pocket of Mtor, Parp1, Acadm, Crat, and Aldh2. Then, CETSA analysis further confirmed that songorine and benzoylhypaconine could increase the heat stability of Mtor and Parp1 in cardiac tissue lysate, respectively, which suggested that there existed direct interactions between songorine and Mtor, and benzoylhypaconine and Parp1. In summary, this work concluded that SND produced cardioprotective effects mainly through preserving energy metabolism, also demonstrated that the combination of 4D proteomics and network pharmacology was a promising tool for uncovering the molecular mechanisms of multi-components multi-targets effects of TCM.</div></div>\",\"PeriodicalId\":16685,\"journal\":{\"name\":\"Journal of pharmaceutical and biomedical analysis\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of pharmaceutical and biomedical analysis\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0731708524005685\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of pharmaceutical and biomedical analysis","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0731708524005685","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Integration of four-dimensional proteomics and network pharmacology to reveal molecular mechanisms of multi-components multi-targets effects of Sini decoction on myocardial infarction
Sini Decoction (SND) has been proven to be an effective formula to alleviate cardiac injury of myocardial infarction (MI). However, the potential mechanism of SND remains unclear. In this study, the MI rat model was established by ligating the left anterior descending coronary artery. A total of 17 SND-distributed components in heart were identified by using ultra-high performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOFMS). The combination of four-dimensional (4D) proteomics and network pharmacology was employed to find the potential targets for therapeutic intervention, and molecular docking and cellular thermal shift assay (CETSA) were used to reveal the interactions between the potential targets and the potential active components distributed in heart of SND. 33 SND-effected proteins were identified by 4D proteomics, which was involved in carbon metabolism, fatty acid metabolism, valine, leucine and isoleucine degradation, tricarboxylic acid (TCA) cycle and PPAR signaling pathway. 17 potential SND-targeted direct proteins were screened by comparing SND-effected proteins generated from 4D proteomics with the MI-related proteins obtained from disease database. The potential relationships between 17 components and 17 potential SND-targeted direct proteins were established by molecular docking analysis, in which songorine, benzoylhypaconine, hypaconine, formononetin, and liquiritigenin could be bound to the surrounding amino acid residues in the binding pocket of Mtor, Parp1, Acadm, Crat, and Aldh2. Then, CETSA analysis further confirmed that songorine and benzoylhypaconine could increase the heat stability of Mtor and Parp1 in cardiac tissue lysate, respectively, which suggested that there existed direct interactions between songorine and Mtor, and benzoylhypaconine and Parp1. In summary, this work concluded that SND produced cardioprotective effects mainly through preserving energy metabolism, also demonstrated that the combination of 4D proteomics and network pharmacology was a promising tool for uncovering the molecular mechanisms of multi-components multi-targets effects of TCM.
期刊介绍:
This journal is an international medium directed towards the needs of academic, clinical, government and industrial analysis by publishing original research reports and critical reviews on pharmaceutical and biomedical analysis. It covers the interdisciplinary aspects of analysis in the pharmaceutical, biomedical and clinical sciences, including developments in analytical methodology, instrumentation, computation and interpretation. Submissions on novel applications focusing on drug purity and stability studies, pharmacokinetics, therapeutic monitoring, metabolic profiling; drug-related aspects of analytical biochemistry and forensic toxicology; quality assurance in the pharmaceutical industry are also welcome.
Studies from areas of well established and poorly selective methods, such as UV-VIS spectrophotometry (including derivative and multi-wavelength measurements), basic electroanalytical (potentiometric, polarographic and voltammetric) methods, fluorimetry, flow-injection analysis, etc. are accepted for publication in exceptional cases only, if a unique and substantial advantage over presently known systems is demonstrated. The same applies to the assay of simple drug formulations by any kind of methods and the determination of drugs in biological samples based merely on spiked samples. Drug purity/stability studies should contain information on the structure elucidation of the impurities/degradants.