Metabolomics and its application in the treatment of coronary heart disease with traditional Chinese medicine
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摘要
Traditional Chinese Medicine(TCM) is the treasure of Chinese Nation and gained the gradual acceptance of the international community. However, the methods and theories of TCM understanding of diseases are lack of appropriate modern scientific characterization systems. Moreover, traditional risk factors cannot promote to detection and prevent those patients with coronary artery disease(CAD) who have not developed acute myocardial infarction(MI) in time. To sum up, there is still no objective systematic evaluation system for the therapeutic mechanism of TCM in the prevention and cure of cardiovascular disease.Thus, new ideas and technologies are needed. The development of omics technology, especially metabolomics, can be used to predict the level of metabolites in vivo and diagnose the physiological state of the body in time to guide the corresponding intervention.In particular, metabolomics is also a very powerful tool to promote the modernization of TCM and the development of TCM in personalized medicine. This article summarized the application of metabolomics in the early diagnosis, the discovery of biomarkers and the treatment of TCM in CAD.
Traditional Chinese Medicine(TCM) is the treasure of Chinese Nation and gained the gradual acceptance of the international community. However, the methods and theories of TCM understanding of diseases are lack of appropriate modern scientific characterization systems. Moreover, traditional risk factors cannot promote to detection and prevent those patients with coronary artery disease(CAD) who have not developed acute myocardial infarction(MI) in time. To sum up, there is still no objective systematic evaluation system for the therapeutic mechanism of TCM in the prevention and cure of cardiovascular disease.Thus, new ideas and technologies are needed. The development of omics technology, especially metabolomics, can be used to predict the level of metabolites in vivo and diagnose the physiological state of the body in time to guide the corresponding intervention.In particular, metabolomics is also a very powerful tool to promote the modernization of TCM and the development of TCM in personalized medicine. This article summarized the application of metabolomics in the early diagnosis, the discovery of biomarkers and the treatment of TCM in CAD.
Traditional Chinese Medicine(TCM) is the treasure of Chinese Nation and gained the gradual acceptance of the international community. However, the methods and theories of TCM understanding of diseases are lack of appropriate modern scientific characterization systems. Moreover, traditional risk factors cannot promote to detection and prevent those patients with coronary artery disease(CAD) who have not developed acute myocardial infarction(MI) in time. To sum up, there is still no objective systematic evaluation system for the therapeutic mechanism of TCM in the prevention and cure of cardiovascular disease.Thus, new ideas and technologies are needed. The development of omics technology, especially metabolomics, can be used to predict the level of metabolites in vivo and diagnose the physiological state of the body in time to guide the corresponding intervention.In particular, metabolomics is also a very powerful tool to promote the modernization of TCM and the development of TCM in personalized medicine. This article summarized the application of metabolomics in the early diagnosis, the discovery of biomarkers and the treatment of TCM in CAD.
引文
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[11]Sun H,Zhang A,Wang X.Potential role of metabolomic approaches for Chinese medicine syndromes and herbal medicine[J].Phytother Res,2012,26(10):1466-1471.
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[15]Cheng P,Chen ZQ,Wang DS.Metabonomics research on coronary heart disease patients of phlegm turbidity syndrome and qi deficiency syndrome[J].Chin J Integr Tradit West Med,2015,35(2):193-197.
[16]Lu XY,Xu H,Zhao T,et al.Study of serum metabonomics and formula-pattern correspondence in coronary heart disease patients diagnosed as phlegm or blood stasis pattern based on ultra performance liquid chromatography mass spectrometry[J].Chin J Integr Med,2018,24(12):905-911.
[17]Wang Y,Li C,Chang H,et al.Metabolomic profiling reveals distinct patterns of tricarboxylic acid disorders in blood stasis syndrome associated with coronary heart disease[J].Chin JIntegr Med,2016,22(8):597-604.
[18]Xu X,Gao B,Guan Q,et al.Metabolomic profile for the early detection of coronary artery disease by using UPLC-QTOF/MS[J].J Pharm Biomed Anal,2016,129:34-42.
[19]Hansson GK.Inflammation,atherosclerosis,and coronary artery disease[J].N Engl J Med,2005,352(16):1685-1695.
[20]Nilsson J.Atherosclerotic plaque vulnerability in the statin era[J].Eur Heart J,2017,38(21):1638-1644.
[21]Tomas L,Edsfeldt A,Mollet IG,et al.Altered metabolism distinguishes high-risk from stable carotid atherosclerotic plaques[J].Eur Heart J,2018,39(24):2301-2310.
[22]Defilippis AP,Trainor PJ,Hill BG,et al.Identification of a plasma metabolomic signature of thrombotic myocardial infarction that is distinct from non-thrombotic myocardial infarction and stable coronary artery disease[J].PLoS One,2017,12(4):e0175591.
[23]Wang X,Wang D,Wu J,et al.Metabolic characterization of myocardial infarction using GC-MS-Based tissue metabolomics[J].Int Heart J,2017,58(3):441-446.
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[26]Yla-Herttuala S,Bentzon JF,Daemen M,et al.Stabilization of atherosclerotic plaques:an update[J].Eur Heart J,2013,34(42):3251-3258.
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[28]Kibos A,Guerchicoff A.Susceptibility genes for coronary heart disease and myocardial infarction[J].Acute Card Care,2011,13(3):136-142.
[29]Unal B,Critchley JA,Capewell S.Explaining the decline in coronary heart disease mortality in England and Wales between1981 and 2000[J].Circulation,2004,109(9):1101-1107.
[30]Anderson JL,Horne BD,Stevens SM,et al.Randomized trial of genotype-guided versus standard warfarin dosing in patients initiating oral anticoagulation[J].Circulation,2007,116(22):2563-2570.
[31]Yao W,Gao Y,Wan Z.Serum metabolomics profiling to identify biomarkers for unstable angina[J].Biomed Res Int,2017,2017:7657306.
[32]Wang X,Wang D,Yu X,et al.Non-targeted metabolomics identified a common metabolic signature of lethal ventricular tachyarrhythmia(LVTA)in two rat models[J].Mol Biosyst,2016,12(7):2213-2223.
[33]Lewis GD,Asnani A,Gerszten RE.Application of metabolomics to cardiovascular biomarker and pathway discovery[J].JAm Coll Cardiol,2008,52(2):117-123.
[34]Wang Z,Tang WH,Buffa JA,et al.Prognostic value of choline and betaine depends on intestinal microbiota-generated metabolite trimethylamine-N-oxide[J].Eur Heart J,2014,35(14):904-910.
[35]Zhang L,Wei TT,Li Y,et al.Functional metabolomics characterizes a key role for N-acetylneuraminic acid in coronary artery diseases[J].Circulation,2018,137(13):1374-1390.
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