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BMC Complementary Medicine and Therapies

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Open Access 01-12-2023 | Active Ingredients | Research

Decoding the underlying mechanisms of Di-Tan-Decoction in treating intracerebral hemorrhage based on network pharmacology

Authors: Zheng Zhen, Dao-jin Xue, Yu-peng Chen, Jia-hui Li, Yao Gao, You-bi Shen, Zi-zhuang Peng, Nan Zhang, Ke-xin Wang, Dao-gang Guan, Tao Huang

Published in: BMC Complementary Medicine and Therapies | Issue 1/2023

Abstract

Background

Chinese medicine usually acts as "multi-ingredients, multi-targets and multi-pathways" on complex diseases, and these action modes reflect the coordination and integrity of the treatment process with traditional Chinese medicine (TCM). System pharmacology is developed based on the cross-disciplines of directional pharmacology, system biology, and mathematics, has the characteristics of integrity and synergy in the treatment process of TCM. Therefore, it is suitable for analyzing the key ingredients and mechanisms of TCM in treating complex diseases. Intracerebral Hemorrhage (ICH) is one of the leading causes of death in China, with the characteristics of high mortality and disability rate. Bring a significant burden on people and society. An increasing number of studies have shown that Chinese medicine prescriptions have good advantages in the treatment of ICH, and Ditan Decoction (DTT) is one of the commonly used prescriptions in the treatment of ICH. Modern pharmacological studies have shown that DTT may play a therapeutic role in treating ICH by inhibiting brain inflammation, abnormal oxidative stress reaction and reducing neurological damage, but the specific key ingredients and mechanism are still unclear.

Methods

To solve this problem, we established PPI network based on the latest pathogenic gene data of ICH, and CT network based on ingredient and target data of DTT. Subsequently, we established optimization space based on PPI network and CT network, and constructed a new model for node importance calculation, and proposed a calculation method for PES score, thus calculating the functional core ingredients group (FCIG). These core functional groups may represent DTT therapy for ICH.

Results

Based on the strategy, 44 ingredients were predicted as FCIG, results showed that 80.44% of the FCIG targets enriched pathways were coincided with the enriched pathways of pathogenic genes. Both the literature and molecular docking results confirm the therapeutic effect of FCIG on ICH via targeting MAPK signaling pathway and PI3K-Akt signaling pathway.

Conclusions

The FCIG obtained by our network pharmacology method can represent the effect of DTT in treating ICH. These results confirmed that our strategy of active ingredient group optimization and the mechanism inference could provide methodological reference for optimization and secondary development of TCM.

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Title: Decoding the underlying mechanisms of Di-Tan-Decoction in treating intracerebral hemorrhage based on network pharmacology
Authors: Zheng Zhen
Dao-jin Xue
Yu-peng Chen
Jia-hui Li
Yao Gao
You-bi Shen
Zi-zhuang Peng
Nan Zhang
Ke-xin Wang
Dao-gang Guan
Tao Huang
Publication date: 01-12-2023
Publisher: BioMed Central
Keyword: Active Ingredients
Published in: BMC Complementary Medicine and Therapies / Issue 1/2023
Electronic ISSN: 2662-7671
DOI: https://doi.org/10.1186/s12906-022-03831-7

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Decoding the underlying mechanisms of Di-Tan-Decoction in treating intracerebral hemorrhage based on network pharmacology

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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