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Xue DJ, Zhen Z, Wang KX, Zhao JL, Gao Y, Chen YP, Shen YB, Peng ZZ, Guan DG, Huang T. Uncovering the potential mechanism of Xue Fu Zhu Yu Decoction in the treatment of intracerebral hemorrhage. BMC Complement Med Ther 2022; 22:103. [PMID: 35413898 PMCID: PMC9004081 DOI: 10.1186/s12906-022-03577-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 03/24/2022] [Indexed: 12/02/2022] Open
Abstract
Background Chinese herbal medicine (CHM) is characterized by “multi- compounds, multi-targets and multi-pathway”, which has advanced benefits for preventing and treating complex diseases, but there still exists unsolved issues, mainly include unclear material basis and underlying mechanism of prescription. Integrated pharmacology is a hot cross research area based on system biology, mathematics and poly-pharmacology. It can systematically and comprehensively investigate the therapeutic reaction of compounds or drugs on pathogenic genes network, and is especially suitable for the study of complex CHM systems. Intracerebral Hemorrhage (ICH) is one of the main causes of death among Chinese residents, which is characterized with high mortality and high disability rate. In recent years, the treatment of ICH by CHM has been deeply researched. Xue Fu Zhu Yu Decoction (XFZYD), one of the commonly used prescriptions in treating ICH at clinic level, has not been clear about its mechanism. Methods Here, we established a strategy, which based on compounds-targets, pathogenetic genes, network analysis and node importance calculation. Using this strategy, the core compounds group (CCG) of XFZYD was predicted and validated by in vitro experiments. The molecular mechanism of XFZYD in treating ICH was deduced based on CCG and their targets. Results The results show that the CCG with 43 compounds predicted by this model is highly consistent with the corresponding Compound-Target (C-T) network in terms of gene coverage, enriched pathway coverage and accumulated contribution of key nodes at 89.49%, 88.72% and 90.11%, respectively, which confirmed the reliability and accuracy of the effective compound group optimization and mechanism speculation strategy proposed by us. Conclusions Our strategy of optimizing the effective compound groups and inferring the mechanism provides a strategic reference for explaining the optimization and inferring the molecular mechanism of prescriptions in treating complex diseases of CHM.
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Affiliation(s)
- Dao-Jin Xue
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China
| | - Zheng Zhen
- The Second Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China
| | - Ke-Xin Wang
- Neurosurgery Center, Guangdong Provincial Key Laboratory On Brain Function Repair and Regeneration, Department of Cerebrovascular Surgery, Engineering Technology Research Center of Education Ministry of China On Diagnosis and Treatment of Cerebrovascular Disease, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Jia-Lin Zhao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510000, China.,Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangdong Province, Guangzhou, 510000, China
| | - Yao Gao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, China
| | - Yu-Peng Chen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510000, China.,Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangdong Province, Guangzhou, 510000, China
| | - You-Bi Shen
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China
| | - Zi-Zhuang Peng
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China
| | - Dao-Gang Guan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510000, China. .,Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangdong Province, Guangzhou, 510000, China. .,Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510000, China.
| | - Tao Huang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
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