Literature DB >> 23227785

Systems biology technologies enable personalized traditional Chinese medicine: a systematic review.

Xijun Wang1, Aihua Zhang, Hui Sun, Ping Wang.   

Abstract

Traditional Chinese medicine (TCM), an alternative medicine, focuses on the treatment of human disease via the integrity of the close relationship between body and syndrome analysis. It remains a form of primary care in most Asian countries and its characteristics showcase the great advantages of personalized medicine. Although this approach to disease diagnosis, prognosis and treatment has served the medical establishment well for thousands of years, it has serious shortcomings in the era of modern medicine that stem from its reliance on reductionist principles of experimentation and analysis. In this way, systems biology offers the potential to personalize medicine, facilitating the provision of the right care to the right patient at the right time. We expect that systems biology will have a major impact on future personalized therapeutic approaches which herald the future of medicine. Here we summarize current trends and critically review the potential limitations and future prospects of such treatments. Some characteristic examples are presented to highlight the application of this groundbreaking platform to personalized TCM as well as some of the necessary milestones for moving systems biology of a state-of-the-art nature into mainstream health care.

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Year:  2012        PMID: 23227785     DOI: 10.1142/S0192415X12500826

Source DB:  PubMed          Journal:  Am J Chin Med        ISSN: 0192-415X            Impact factor:   4.667


  14 in total

1.  Standardization and future directions in pattern identification research: International brainstorming session.

Authors:  Jeeyoun Jung; Bongki Park; Ju Ah Lee; Sooseong You; Terje Alraek; Zhao-Xiang Bian; Stephen Birch; Tae-Hun Kim; Hao Xu; Chris Zaslawski; Byoung-Kab Kang; Myeong Soo Lee
Journal:  Chin J Integr Med       Date:  2014-12-09       Impact factor: 1.978

2.  Salvia miltiorrhiza (dan shen) significantly ameliorates colon inflammation in dextran sulfate sodium induced colitis.

Authors:  Xiao-Dong Wen; Chong-Zhi Wang; Chunhao Yu; Zhiyu Zhang; Tyler Calway; Yunwei Wang; Ping Li; Chun-Su Yuan
Journal:  Am J Chin Med       Date:  2013       Impact factor: 4.667

3.  High-throughput liquid chromatography mass-spectrometry-driven lipidomics discover metabolic biomarkers and pathways as promising targets to reveal the therapeutic effects of the Shenqi pill.

Authors:  Wen-Xiu Li; Ai-Hua Zhang; Xiao-Hang Zhou; Yang Nan; Qi Liu; Hui Sun; Heng Fang; Xi-Jun Wang
Journal:  RSC Adv       Date:  2020-01-13       Impact factor: 4.036

4.  Retracted Article: High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach.

Authors:  Hai-Hong Li; Jian-Liang Pan; Su Hui; Xiao-Wei Ma; Zhi-Long Wang; Hui-Xin Yao; Jun-Feng Wang; Hong Li
Journal:  RSC Adv       Date:  2018-04-18       Impact factor: 4.036

5.  Panax notoginseng attenuates experimental colitis in the azoxymethane/dextran sulfate sodium mouse model.

Authors:  Xiao-Dong Wen; Chong-Zhi Wang; Chunhao Yu; Lei Zhao; Zhiyu Zhang; Adiba Matin; Yunwei Wang; Ping Li; Shu-Yuan Xiao; Wei Du; Tong-Chuan He; Chun-Su Yuan
Journal:  Phytother Res       Date:  2013-10-21       Impact factor: 5.878

6.  Identification of absorbed constituents and evaluation of the pharmacokinetics of main compounds after oral administration of yindanxinnaotong by UPLC-Q-TOF-MS and UPLC-QqQ-MS.

Authors:  Leilei Gong; Haiyu Xu; Huijun Yuan; Lan Wang; Xiaojie Yin; Moqi Fan; Long Cheng; Xiaojing Ma; Rixin Liang; Hongjun Yang
Journal:  RSC Adv       Date:  2018-04-26       Impact factor: 4.036

7.  Microarray expression profile analysis of mRNAs and long non-coding RNAs in pulmonary tuberculosis with different traditional Chinese medicine syndromes.

Authors:  Ting-Ting Jiang; Li-Liang Wei; Li-Ying Shi; Zhong-Liang Chen; Chong Wang; Chang-Ming Liu; Zhong-Jie Li; Ji-Cheng Li
Journal:  BMC Complement Altern Med       Date:  2016-11-17       Impact factor: 3.659

Review 8.  The Use of Omic Technologies Applied to Traditional Chinese Medicine Research.

Authors:  Dalinda Isabel Sánchez-Vidaña; Rahim Rajwani; Man-Sau Wong
Journal:  Evid Based Complement Alternat Med       Date:  2017-01-31       Impact factor: 2.629

Review 9.  Application of metabolomics in toxicity evaluation of traditional Chinese medicines.

Authors:  Li Duan; Long Guo; Lei Wang; Qiang Yin; Chen-Meng Zhang; Yu-Guang Zheng; E-Hu Liu
Journal:  Chin Med       Date:  2018-12-04       Impact factor: 5.455

10.  Traditional formula, modern application: chinese medicine formula sini tang improves early ventricular remodeling and cardiac function after myocardial infarction in rats.

Authors:  Jiangang Liu; Karoline Peter; Dazhuo Shi; Lei Zhang; Guoju Dong; Dawu Zhang; Heimo Breiteneder; Johannes Jakowitsch; Yan Ma
Journal:  Evid Based Complement Alternat Med       Date:  2014-05-25       Impact factor: 2.629

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