Targeting the Human Genome–Microbiome Axis for Drug Discovery: Inspirations from Global Systems Biology and Traditional Chinese Medicine

2012 ◽  
Vol 11 (7) ◽  
pp. 3509-3519 ◽  
Author(s):  
Liping Zhao ◽  
Jeremy K. Nicholson ◽  
Aiping Lu ◽  
Zhengtao Wang ◽  
Huiru Tang ◽  
...  
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Human Genome ◽  
Global Systems

scholarly journals Advancing Drug Discovery and Development from Active Constituents of Yinchenhao Tang, a Famous Traditional Chinese Medicine Formula

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Aihua Zhang ◽  
Hui Sun ◽  
Shi Qiu ◽  
Xijun Wang
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Molecular Mechanisms ◽  
Synergistic Effects ◽  
Molecular Networks ◽  
Agile Development ◽  
Therapeutic Effects ◽  
Systematic Analysis

Traditional Chinese medicine (TCM) formula has been playing a very important role in health protection and disease control for thousands of years. Guided by TCM syndrome theories, formula are designed to contain a combination of various kinds of crude drugs that, when combined, will achieve synergistic efficacy. However, the precise mechanism of synergistic action remains poorly understood. One example is a famous TCM formula Yinchenhao Tang (YCHT), whose efficacy in treating hepatic injury (HI) and Jaundice syndrome, has recently been well established as a case study. We also conducted a systematic analysis of synergistic effects of the principal compound using biochemistry, pharmacokinetics and systems biology, to explore the key molecular mechanisms. We had found that the three component (6,7-dimethylesculetin (D), geniposide (G), and rhein (R)) combination exerts a more robust synergistic effect than any one or two of the three individual compounds by hitting multiple targets. They can regulate molecular networks through activating both intrinsic and extrinsic pathways to synergistically cause intensified therapeutic effects. This paper provides an overview of the recent and potential developments of chemical fingerprinting coupled with systems biology advancing drug discovery towards more agile development of targeted combination therapies for the YCHT.

scholarly journals Application value of quantitative system pharmacology in drug discovery for traditional Chinese medicine

2020 ◽  
Vol 3 (9) ◽  
pp. 425-436
Author(s):  
Fuxue Meng ◽  
Xiaomai Tao
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Research And Development ◽  
Clinical Stage ◽  
New Drugs ◽  
Systems Pharmacology ◽  
Medicine Research ◽  
System Pharmacology

Quantitative system pharmacology (QSP) is a discipline that combines computational models of systems biology and systems pharmacology. With the development of high-throughput genomics techniques (genomics, transcriptomics, proteomics, and metabolomics) as well as computer and bioinformatics methods, systems biology and systems pharmacology modeling are widely used to comprehend human biology and disease progression, predict the effectiveness and safety of drug candidates. Due to the advancement of big data and high-quality database, the application of QSP, especially the pre-clinical stage that guides early drug discovery, is increasingly widespread. The traditional drug discovery process takes a long time yet has a low success rate. The early intervention and full participation of QSP in the development of new drugs discovery can form a model-led drug development model to improve the efficiency of drug discovery and scientific appraise, reduce the cost of research and development, and shorten the time to market for new drugs. This article reviews the differences between QSP and other quantitative pharmacology, the problems faced by traditional Chinese medicine research, and the value of QSP in traditional Chinese medicine research, with a view to providing reference and support for the research and development of new traditional Chinese medicine.

Application of proteomics in the mechanistic study of traditional Chinese medicine

2011 ◽  
Vol 39 (5) ◽  
pp. 1348-1352 ◽  
Author(s):  
Xuan Liu ◽  
De-An Guo
Keyword(s):  
Systems Biology ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Mechanistic Study ◽  
Current Application ◽  
The Future

Systems biology is considered to be the possible technology that could bring breakthroughs in the study of TCM (traditional Chinese medicine). Proteomics, as one of the major components of systems biology, has been used in the mechanistic study of TCM, providing some interesting results. In the present paper, we review the current application of proteomics in the mechanistic study of TCM. Proteomics technologies and strategies that might be used in the future to improve study of TCM are also discussed.

Systems Biology Technologies Enable Personalized Traditional Chinese Medicine: A Systematic Review

2012 ◽  
Vol 40 (06) ◽  
pp. 1109-1122 ◽  
Author(s):  
Xijun Wang ◽  
Aihua Zhang ◽  
Hui Sun ◽  
Ping Wang
Keyword(s):  
Systems Biology ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Disease Diagnosis ◽  
Modern Medicine ◽  
Therapeutic Approaches ◽  
Current Trends ◽  
Close Relationship ◽  
The Right ◽  
Personalize Medicine

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.

New development and update on China Bioanalysis Forum

Bioanalysis ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 199-201
Author(s):  
Fan Jin ◽  
Daniel Tang ◽  
Kelly Dong ◽  
Dafang Zhong
Keyword(s):  
Drug Discovery ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Drug Development ◽  
Research And Development ◽  
Continuous Growth ◽  
Contract Research Organization ◽  
Drug Discovery And Development ◽  
Medicine Research ◽  
New Development

This article provides an update on new development of China Bioanalysis Forum (CBF). CBF became a member association of Chinese Pharmaceutical Association (CPA) at the end of 2019. The official ceremony and first scientific symposium were held in Shanghai on 18 September 2020. The president of Chinese Pharmaceutical Association and representatives from industry, Contract Research Organization (CRO), hospitals and academic institutes attended the ceremony. Seven experts in the field gave presentations on various topics including Drug Metabolism and Pharmacokinetics (DMPK) and bioanalytical support in drug discovery and development as well as experience in Traditional Chinese Medicine research. With the continuous growth of research and development in China, it is well acknowledged that bioanalysis provides critical support for new innovative medicines and generic drug development in the region.

scholarly journals High content screening for drug discovery from traditional Chinese medicine

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Jing Wang ◽  
Ming-Yue Wu ◽  
Jie-Qiong Tan ◽  
Min Li ◽  
Jia-Hong Lu
Keyword(s):  
Drug Discovery ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
High Content Screening

Bridging the gap between traditional Chinese medicine and systems biology: the connection of Cold Syndrome and NEI network

2010 ◽  
Vol 6 (4) ◽  
pp. 613 ◽  
Author(s):  
Tao Ma ◽  
Conge Tan ◽  
Hui Zhang ◽  
Miqu Wang ◽  
Weijun Ding ◽  
...  
Keyword(s):  
Systems Biology ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine

Understanding channel tropism in traditional Chinese medicine in the context of systems biology

2013 ◽  
Vol 7 (3) ◽  
pp. 277-279 ◽  
Author(s):  
Ping Liu ◽  
Songlin Liu ◽  
Gang Chen ◽  
Ping Wang
Keyword(s):  
Systems Biology ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine
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