TY - JOUR
T1 - Omics strategies decipher therapeutic discoveries of traditional Chinese medicine against different diseases at multiple layers molecular-level
AU - Guo, Rui
AU - Luo, Xialin
AU - Liu, Jingjing
AU - Liu, Lian
AU - Wang, Xijun
AU - Lu, Haitao
N1 - Funding information (Section snippets):
This work was supported by the National Key R&D Program of China (No. 2017YFC1308600 and 2017YFC1308605), the National Natural Science Foundation of China Grants (No. 81274175 and 31670031), the Startup Funding for Specialized Professorship Provided by Shanghai Jiao Tong University (No. WF220441502), and the Fundamental Research Funds for the Central Universities (grant no. 106112015CDJZR468808).
Publisher copyright:
© 2020 Published by Elsevier Ltd.
PY - 2020/2
Y1 - 2020/2
N2 - Traditional Chinese medicine (TCM) has been broadly used for the personalized treatment of many diseases in China for thousands of years. In the past century, TCM was also introduced to other Asian countries and even the Western world. Increasing evidence has shown that TCM has the capacity to treat numerous complex diseases in the clinic, such as cardiovascular diseases (CVDs), infectious diseases, metabolic diseases, and neurodegenerative diseases. However, the earlier lack of analytical strategies to annotate the chemical complexity has severely impeded the modern study and translational application of TCM. This critical review aims to explore and exploit applications of systems biology–driven omics methods in TCM against a diversity of diseases, toward the specific use of TCM to treat patients with different diseases. Such effort shall enhance the applicability of systems biology–driven omics strategies in deciphering the mechanisms by which TCM treats different diseases and may lead to the discovery of new therapeutic directions. In addition, we proposed the possible strategies to innovate the applicable pattern of omics technologies in TCM niches, such as precision-modification metabolomics and chinmedomics methods, allowing to unveil the complexity of TCM, which must enable TCM to serve better for the population-health. Taken together, this review eventually shall highlight the core value of omics technologies in innovating TCM to combat the diseases in a new horizon.
AB - Traditional Chinese medicine (TCM) has been broadly used for the personalized treatment of many diseases in China for thousands of years. In the past century, TCM was also introduced to other Asian countries and even the Western world. Increasing evidence has shown that TCM has the capacity to treat numerous complex diseases in the clinic, such as cardiovascular diseases (CVDs), infectious diseases, metabolic diseases, and neurodegenerative diseases. However, the earlier lack of analytical strategies to annotate the chemical complexity has severely impeded the modern study and translational application of TCM. This critical review aims to explore and exploit applications of systems biology–driven omics methods in TCM against a diversity of diseases, toward the specific use of TCM to treat patients with different diseases. Such effort shall enhance the applicability of systems biology–driven omics strategies in deciphering the mechanisms by which TCM treats different diseases and may lead to the discovery of new therapeutic directions. In addition, we proposed the possible strategies to innovate the applicable pattern of omics technologies in TCM niches, such as precision-modification metabolomics and chinmedomics methods, allowing to unveil the complexity of TCM, which must enable TCM to serve better for the population-health. Taken together, this review eventually shall highlight the core value of omics technologies in innovating TCM to combat the diseases in a new horizon.
KW - Chinmedomics
KW - Omics strategies
KW - Precision-modification metabolomics
KW - Systems biology
KW - Therapeutic discovery
KW - Traditional Chinese medicine
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077432766&doi=10.1016%2fj.phrs.2020.104627&partnerID=40&md5=f44d87504446e57fbed287c5a3132896
U2 - 10.1016/j.phrs.2020.104627
DO - 10.1016/j.phrs.2020.104627
M3 - Review article
C2 - 31904505
SN - 1043-6618
VL - 152
JO - Pharmacological Research
JF - Pharmacological Research
M1 - 104627
ER -
