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典型文献
Integration of multi-omics in investigations on the mechanisms of action of Chinese herbal medicine interventions in metabolic diseases
文献摘要:
The rapid development of bioinformatics has provided novel approaches and methods for exploring the mechanisms of disease treatment via Chinese herbal medicines. Compound Chinese herbal medicines formulas have complex compositions and are characterized by their multiple constituents and diverse array of biological targets. Therefore, the mechanisms of action of most compound Chinese herbal medicines formulas cannot be adequately explained using a single pathway. Omics technologies describe high-throughput-based analytical and detection techniques, which include transcriptomics, proteomics, and metabolomics and provide multilayer parameter information that can be integrated to characterize the overall relationships involved in the therapeutic effects of Chinese herbal medicines formulas. Through their combination with network biology and drug effect networks, omics technologies also enable investigations into the mechanisms of disease treatment in traditional Chinese medicine. The integration of multiple omics technologies is in line with the concept of holism in traditional Chinese medicine and provides an approach for combining modern science and technology with traditional Chinese medicine theories. In recent years, omics technologies have been widely used to elucidate the mechanisms of action of Chinese herbal medicines. The latest studies employing multi-omics integration for investigating the mechanisms of action of Chinese herbal medicines interventions in metabolic diseases have devoted greater attention to in-depth explorations of disease pathogenesis. This paper provides a review of the following multi-omics technologies, which are used in research on the treatment of common metabolic diseases (e.g., type-2 diabetes mellitus, nonalcoholic fatty liver disease): network pharmacology combined with metabolomics, 16S rRNA sequencing combined with transcriptomics, 16S rRNA sequencing combined with metabolomics, and 16S rRNA sequencing combined with network pharmacology and metabolomics.
文献关键词:
作者姓名:
Yong-Jun Cao;Han-Zhou Li;Yu-Meng Sun;Xiao-Qian Li;Le Chen;Xiao-Wen Jin;Shu-Quan Lyu;Wei-Bo Wen;Jia-Bao Liao
作者机构:
Department of Endocrinology,Nantong Hospital Affiliated to Nanjing University of Chinese Medicine,Nantong 226001,China;Chengde Medical College,Chengde 067000,China;Department of Endocrinology,Integrated Chinese and Western Medicine Hospital of Cangzhou,Cangzhou 061000,China;Department of Endocrinology,Yunnan Provincial Hospital of Chinese Medicine,Kunming 650029,China;Department of Emergency,Jiaxing Hospital of Traditional Chinese Medicine,Jiaxing 324000,China
引用格式:
[1]Yong-Jun Cao;Han-Zhou Li;Yu-Meng Sun;Xiao-Qian Li;Le Chen;Xiao-Wen Jin;Shu-Quan Lyu;Wei-Bo Wen;Jia-Bao Liao-.Integration of multi-omics in investigations on the mechanisms of action of Chinese herbal medicine interventions in metabolic diseases)[J].传统医学研究(英文版),2022(04):1-7
A类:
holism
B类:
Integration,investigations,mechanisms,action,Chinese,herbal,interventions,metabolic,diseases,rapid,development,bioinformatics,has,provided,novel,approaches,methods,exploring,treatment,via,medicines,Compound,formulas,have,complex,compositions,are,characterized,by,their,multiple,constituents,diverse,array,biological,targets,Therefore,most,compound,cannot,adequately,explained,using,single,pathway,Omics,technologies,describe,high,throughput,analytical,detection,techniques,which,include,transcriptomics,proteomics,metabolomics,multilayer,parameter,information,that,integrated,overall,relationships,involved,therapeutic,effects,Through,combination,biology,drug,networks,also,enable,into,traditional,integration,line,concept,provides,combining,modern,science,technology,theories,recent,years,been,widely,used,elucidate,latest,studies,employing,investigating,devoted,greater,attention,depth,explorations,pathogenesis,This,paper,review,following,research,common,type,diabetes,mellitus,nonalcoholic,fatty,liver,pharmacology,combined,16S,rRNA,sequencing
AB值:
0.476898
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