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组学技术在中医药研究中的应用

The Use of Omic Technologies Applied to Traditional Chinese Medicine Research.

作者信息

Sánchez-Vidaña Dalinda Isabel, Rajwani Rahim, Wong Man-Sau

机构信息

Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.

Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.

出版信息

Evid Based Complement Alternat Med. 2017;2017:6359730. doi: 10.1155/2017/6359730. Epub 2017 Jan 31.

DOI:10.1155/2017/6359730
PMID:28250795
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5307000/
Abstract

Natural products represent one of the most important reservoirs of structural and chemical diversity for the generation of leads in the drug development process. A growing number of researchers have shown interest in the development of drugs based on Chinese herbs. In this review, the use and potential of omic technologies as powerful tools in the modernization of traditional Chinese medicine are discussed. The analytical combination from each omic approach is crucial for understanding the working mechanisms of cells, tissues, organs, and organisms as well as the mechanisms of disease. Gradually, omic approaches have been introduced in every stage of the drug development process to generate high-quality Chinese medicine-based drugs. Finally, the future picture of the use of omic technologies is a promising tool and arena for further improvement in the modernization of traditional Chinese medicine.

摘要

天然产物是药物开发过程中产生先导化合物的结构和化学多样性的最重要来源之一。越来越多的研究人员对基于中草药的药物开发表现出兴趣。在本综述中,讨论了组学技术作为强大工具在中医药现代化中的应用和潜力。每种组学方法的分析组合对于理解细胞、组织、器官和生物体的工作机制以及疾病机制至关重要。逐渐地,组学方法已被引入药物开发过程的各个阶段,以生产高质量的中药制剂。最后,组学技术的应用前景是中医药现代化进一步发展的一个有前途的工具和领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f80/5307000/3c29a7d45f53/ECAM2017-6359730.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f80/5307000/adb75058211e/ECAM2017-6359730.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f80/5307000/3c29a7d45f53/ECAM2017-6359730.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f80/5307000/adb75058211e/ECAM2017-6359730.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f80/5307000/3c29a7d45f53/ECAM2017-6359730.002.jpg

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