{"title":"通过网络药理学鉴定冠心病中肠道微生物群的代谢物。","authors":"Hao-Ming Zhou, Xin-Yu Yang, Shi-Jun Yue, Wen-Xiao Wang, Qiao Zhang, Ding-Qiao Xu, Jia-Jia Li, Yu-Ping Tang","doi":"10.1080/21691401.2024.2319827","DOIUrl":null,"url":null,"abstract":"<p><p>Although the gut microbial metabolites exhibit potential effects on coronary heart disease (CHD), the underlying mechanism remains unclear. In this study, the active gut microbial metabolites acting on CHD and their potential mechanisms of action were explored through a network pharmacological approach. We collected a total of 208 metabolites from the gutMgene database and 726 overlapping targets from the similarity ensemble approach (SEA) and SwissTargetPrediction (STP) database, and ultimately identified 610 targets relevant to CHD. In conjunction with the gutMGene database, we identified 12 key targets. The targets of exogenous substances were removed, and 10 core targets involved in CHD were eventually retained. The microbiota-metabolites-targets-signalling pathways network analysis revealed that C-type lectin receptor signalling pathway, Lachnospiraceae, Escherichia, mitogen-activated protein kinase 1, prostaglandin-endoperoxidase synthase 2, phenylacetylglutamine and alcoholic acid are notable components of CHD and play important roles in the development of CHD. The results of molecular docking experiments demonstrated that AKT1-glycocholic acid and PTGS2-phenylacetylglutamine complexes may act on C-type lectin receptor signalling pathways. In this study, the key substances and potential mechanisms of gut microbial metabolites were analysed via network pharmacological methods, and a scientific basis and comprehensive idea were provided for the effects of gut microbial metabolites on CHD.</p>","PeriodicalId":8736,"journal":{"name":"Artificial Cells, Nanomedicine, and Biotechnology","volume":"52 1","pages":"145-155"},"PeriodicalIF":4.5000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The identification of metabolites from gut microbiota in coronary heart disease via network pharmacology.\",\"authors\":\"Hao-Ming Zhou, Xin-Yu Yang, Shi-Jun Yue, Wen-Xiao Wang, Qiao Zhang, Ding-Qiao Xu, Jia-Jia Li, Yu-Ping Tang\",\"doi\":\"10.1080/21691401.2024.2319827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Although the gut microbial metabolites exhibit potential effects on coronary heart disease (CHD), the underlying mechanism remains unclear. In this study, the active gut microbial metabolites acting on CHD and their potential mechanisms of action were explored through a network pharmacological approach. We collected a total of 208 metabolites from the gutMgene database and 726 overlapping targets from the similarity ensemble approach (SEA) and SwissTargetPrediction (STP) database, and ultimately identified 610 targets relevant to CHD. In conjunction with the gutMGene database, we identified 12 key targets. The targets of exogenous substances were removed, and 10 core targets involved in CHD were eventually retained. The microbiota-metabolites-targets-signalling pathways network analysis revealed that C-type lectin receptor signalling pathway, Lachnospiraceae, Escherichia, mitogen-activated protein kinase 1, prostaglandin-endoperoxidase synthase 2, phenylacetylglutamine and alcoholic acid are notable components of CHD and play important roles in the development of CHD. The results of molecular docking experiments demonstrated that AKT1-glycocholic acid and PTGS2-phenylacetylglutamine complexes may act on C-type lectin receptor signalling pathways. In this study, the key substances and potential mechanisms of gut microbial metabolites were analysed via network pharmacological methods, and a scientific basis and comprehensive idea were provided for the effects of gut microbial metabolites on CHD.</p>\",\"PeriodicalId\":8736,\"journal\":{\"name\":\"Artificial Cells, Nanomedicine, and Biotechnology\",\"volume\":\"52 1\",\"pages\":\"145-155\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Cells, Nanomedicine, and Biotechnology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/21691401.2024.2319827\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/2/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Cells, Nanomedicine, and Biotechnology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/21691401.2024.2319827","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
The identification of metabolites from gut microbiota in coronary heart disease via network pharmacology.
Although the gut microbial metabolites exhibit potential effects on coronary heart disease (CHD), the underlying mechanism remains unclear. In this study, the active gut microbial metabolites acting on CHD and their potential mechanisms of action were explored through a network pharmacological approach. We collected a total of 208 metabolites from the gutMgene database and 726 overlapping targets from the similarity ensemble approach (SEA) and SwissTargetPrediction (STP) database, and ultimately identified 610 targets relevant to CHD. In conjunction with the gutMGene database, we identified 12 key targets. The targets of exogenous substances were removed, and 10 core targets involved in CHD were eventually retained. The microbiota-metabolites-targets-signalling pathways network analysis revealed that C-type lectin receptor signalling pathway, Lachnospiraceae, Escherichia, mitogen-activated protein kinase 1, prostaglandin-endoperoxidase synthase 2, phenylacetylglutamine and alcoholic acid are notable components of CHD and play important roles in the development of CHD. The results of molecular docking experiments demonstrated that AKT1-glycocholic acid and PTGS2-phenylacetylglutamine complexes may act on C-type lectin receptor signalling pathways. In this study, the key substances and potential mechanisms of gut microbial metabolites were analysed via network pharmacological methods, and a scientific basis and comprehensive idea were provided for the effects of gut microbial metabolites on CHD.
期刊介绍:
Artificial Cells, Nanomedicine and Biotechnology covers the frontiers of interdisciplinary research and application, combining artificial cells, nanotechnology, nanobiotechnology, biotechnology, molecular biology, bioencapsulation, novel carriers, stem cells and tissue engineering. Emphasis is on basic research, applied research, and clinical and industrial applications of the following topics:artificial cellsblood substitutes and oxygen therapeuticsnanotechnology, nanobiotecnology, nanomedicinetissue engineeringstem cellsbioencapsulationmicroencapsulation and nanoencapsulationmicroparticles and nanoparticlesliposomescell therapy and gene therapyenzyme therapydrug delivery systemsbiodegradable and biocompatible polymers for scaffolds and carriersbiosensorsimmobilized enzymes and their usesother biotechnological and nanobiotechnological approachesRapid progress in modern research cannot be carried out in isolation and is based on the combined use of the different novel approaches. The interdisciplinary research involving novel approaches, as discussed above, has revolutionized this field resulting in rapid developments. This journal serves to bring these different, modern and futuristic approaches together for the academic, clinical and industrial communities to allow for even greater developments of this highly interdisciplinary area.