PMID- 32419835
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220414
IS  - 1741-427X (Print)
IS  - 1741-4288 (Electronic)
IS  - 1741-427X (Linking)
VI  - 2020
DP  - 2020
TI  - Integrated Analysis of the Mechanisms of Da-Chai-Hu Decoction in Type 2 Diabetes 
      Mellitus by a Network Pharmacology Approach.
PG  - 9768414
LID - 10.1155/2020/9768414 [doi]
LID - 9768414
AB  - BACKGROUND: The incidence of type 2 diabetes mellitus (T2DM) has increased year 
      by year, which not only seriously affects people's quality of life, but also 
      imposes a heavy economic burden on the family, society, and country. Currently, 
      the pathogenesis, diagnosis, and treatment of T2DM are still unclear. Therefore, 
      exploration of a precise multitarget treatment strategy is urgent. Here, we 
      attempt to screen out the active components, effective targets, and functional 
      pathways of therapeutic drugs through network pharmacology with taking advantages 
      of traditional Chinese medicine (TCM) formulas for multitarget holistic treatment 
      of diseases to clarify the potential therapeutic mechanism of TCM formulas and 
      provide a systematic and clear thought for T2DM treatment. METHODS: First, we 
      screened the active components of Da-Chai-Hu Decoction (DCHD) by absorption, 
      distribution, metabolism, excretion, and toxicity (ADME/T) calculation. Second, 
      we predicted and screened the active components of DCHD and its therapeutic 
      targets for T2DM relying on the Traditional Chinese Medicine Systems Pharmacology 
      Analysis Platform (TCMSP database) and Text Mining Tool (GoPubMed database), 
      while using the Database for Annotation, Visualization, and Integrated Discovery 
      (DAVID) to obtain T2DM targets. Third, we constructed a network of the active 
      component-target, target-pathway of DCHD using Cytoscape software 
      (http://cytoscape.org/,ver.3.5.1) and then analyzed gene function, related 
      biological processes, and signal pathways through the DAVID database. RESULTS: We 
      screened 77 active components from 1278 DCHD components and 116 effective targets 
      from 253 ones. After matching the targets of T2DM, we obtained 38 important 
      targets and 7 core targets were selected through further analysis. Through 
      enrichment analysis, we found that these important targets were mainly involved 
      in many biological processes such as oxidative stress, inflammatory reaction, and 
      apoptosis. After analyzing the relevant pathways, the synthetic pathway for the 
      treatment of T2DM was obtained, which provided a diagnosis-treatment idea for 
      DCHD in the treatment of T2DM. CONCLUSIONS: This article reveals the mechanism of 
      DCHD in the treatment of T2DM related to inflammatory response and apoptosis 
      through network pharmacology, which lays a foundation for further elucidation of 
      drugs effective targets.
CI  - Copyright (c) 2020 Beida Ren et al.
FAU - Ren, Beida
AU  - Ren B
AUID- ORCID: 0000-0001-5029-7939
AD  - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, 
      Beijing 100029, China.
FAU - Tan, Ling
AU  - Tan L
AUID- ORCID: 0000-0002-4748-3447
AD  - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, 
      Beijing 100029, China.
FAU - Xiong, Yiliang
AU  - Xiong Y
AD  - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, 
      Beijing 100029, China.
FAU - Ji, Wenting
AU  - Ji W
AUID- ORCID: 0000-0001-7052-4043
AD  - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, 
      Beijing 100029, China.
FAU - Mu, Jie
AU  - Mu J
AUID- ORCID: 0000-0003-3466-238X
AD  - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, 
      Beijing 100029, China.
FAU - Pei, Yuying
AU  - Pei Y
AD  - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, 
      Beijing 100029, China.
FAU - Cheng, Fafeng
AU  - Cheng F
AUID- ORCID: 0000-0002-3409-1196
AD  - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, 
      Beijing 100029, China.
FAU - Wang, Xueqian
AU  - Wang X
AUID- ORCID: 0000-0001-9138-1491
AD  - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, 
      Beijing 100029, China.
FAU - Wang, Qingguo
AU  - Wang Q
AUID- ORCID: 0000-0002-2865-903X
AD  - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, 
      Beijing 100029, China.
LA  - eng
PT  - Journal Article
DEP - 20200428
PL  - United States
TA  - Evid Based Complement Alternat Med
JT  - Evidence-based complementary and alternative medicine : eCAM
JID - 101215021
PMC - PMC7204321
COIS- The authors declare that there are no conflicts of interest with respect to this 
      study.
EDAT- 2020/05/19 06:00
MHDA- 2020/05/19 06:01
PMCR- 2020/04/28
CRDT- 2020/05/19 06:00
PHST- 2019/10/15 00:00 [received]
PHST- 2020/01/31 00:00 [revised]
PHST- 2020/02/26 00:00 [accepted]
PHST- 2020/05/19 06:00 [entrez]
PHST- 2020/05/19 06:00 [pubmed]
PHST- 2020/05/19 06:01 [medline]
PHST- 2020/04/28 00:00 [pmc-release]
AID - 10.1155/2020/9768414 [doi]
PST - epublish
SO  - Evid Based Complement Alternat Med. 2020 Apr 28;2020:9768414. doi: 
      10.1155/2020/9768414. eCollection 2020.