scholarly journals Uncovering the Potential Mechanism of Xue Fu Zhu Yu Decoction in the Treatment of Intracerebral Hemorrhage

Author(s):  
Dao-jin Xue ◽  
Zheng Zhen ◽  
Ke-xin Wang ◽  
Jia-lin Zhao ◽  
Yao Gao ◽  
...  

Abstract Background Chinese herbal medicine (CHM) is characterized by “multi- compounds, multi-targets and multi-pathway”, which has advanced benefits for the preventing and treating complex diseases, but still exists unsolved issues, mainly include unclear material basis and underling mechanism of prescription. Integrated pharmacology is a hot cross research area based on system biology, mathematic 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 by 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 in treating ICH. 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.

2021 ◽  
Vol 24 (4) ◽  
Author(s):  
Jinglei Wang ◽  
Ying Chen ◽  
Jingjing Liang ◽  
Maosheng Cao ◽  
Jiabing Shen ◽  
...  

2021 ◽  
Author(s):  
Zhiyong Wu ◽  
Chunli Xia ◽  
Ze Wang ◽  
Jiaxin Bao ◽  
Rui Li ◽  
...  

Abstract Background: Natural products and their unique polypharmacology offer significant advantages for finding novel therapeutics particularly for the treatment of complex diseases. Meanwhile, natural products in traditional Chinese medicine possess drug-like properties. In this study, we used the previously established co-infection model of Mycoplasma gallisepticum and Escherichia coli as a representative of complex diseases. The multi-omics joint analysis was used to reverse screen TCMs from the Chinese medicinal database and then targeted verification was conducted from multiple dimensions. Results: The results showed that the Chinese herbal compound screened by the target network played a good therapeutic effect in the case of co-infection. Furthermore, the four methods were performed at gene, protein, and metabolite levels, as well as molecular docking in vitro respectively, which were used to verify the multi-target therapeutic effect. Conclusions: These data suggest that we may provide a new method to validate target combinations of natural products that can be used to optimize their multiple structure-activity relationships to obtain drug-like natural product derivatives. Furthermore, the study could establish a new methodology for the research of Chinese herbal medicinal extract and provide a new multi-target treatment method for the occurrence of co-infection.


2009 ◽  
Vol 65 ◽  
pp. S250
Author(s):  
Aiko Hori ◽  
Tomoko Yamamoto ◽  
Kiyoshi Matsumura ◽  
Hiroshi Hosokawa ◽  
Shigeo Kobayashi

2021 ◽  
Vol 12 ◽  
Author(s):  
Kexin Wang ◽  
Kai Li ◽  
Yupeng Chen ◽  
Genxia Wei ◽  
Hailang Yu ◽  
...  

Traditional Chinese medicine (TCM) usually plays therapeutic roles on complex diseases in the form of formulas. However, the multicomponent and multitarget characteristics of formulas bring great challenges to the mechanism analysis and secondary development of TCM in treating complex diseases. Modern bioinformatics provides a new opportunity for the optimization of TCM formulas. In this report, a new bioinformatics analysis of a computational network pharmacology model was designed, which takes Chai-Hu-Shu-Gan-San (CHSGS) treatment of depression as the case. In this model, effective intervention space was constructed to depict the core network of the intervention effect transferred from component targets to pathogenic genes based on a novel node importance calculation method. The intervention-response proteins were selected from the effective intervention space, and the core group of functional components (CGFC) was selected based on these intervention-response proteins. Results show that the enriched pathways and GO terms of intervention-response proteins in effective intervention space could cover 95.3 and 95.7% of the common pathways and GO terms that respond to the major functional therapeutic effects. Additionally, 71 components from 1,012 components were predicted as CGFC, the targets of CGFC enriched in 174 pathways which cover the 86.19% enriched pathways of pathogenic genes. Based on the CGFC, two major mechanism chains were inferred and validated. Finally, the core components in CGFC were evaluated by in vitro experiments. These results indicate that the proposed model with good accuracy in screening the CGFC and inferring potential mechanisms in the formula of TCM, which provides reference for the optimization and mechanism analysis of the formula in TCM.


2016 ◽  
Vol 42 (3-4) ◽  
pp. 155-169 ◽  
Author(s):  
Haiping Zheng ◽  
Chunli Chen ◽  
Jie Zhang ◽  
Zhiping Hu

Background: Intracerebral hemorrhage (ICH) is a subtype of stroke with a severe high mortality and disability rate and accounts for about 10-15% of all strokes. The oppression and destruction by hematoma to brain tissue cause the primary brain injury. The inflammation and coagulation response after ICH would accelerate the formation of brain edema around hematoma, resulting in a more severe and durable injury. Currently, treatments for ICH are focusing on the primary injury including reducing intracranial hypertension, blood pressure control, and rehabilitation. There is a short-of-effective medical treatment for secondary inflammation and reducing brain edema in ICH patients. So, it is very important to study on the relationship between brain edema and ICH. Summary: Many molecular and cellular mechanisms contribute to the formation and progress of brain edema after ICH; inhibition of brain edema provides favorable outcome of ICH. Key Messages: This review mainly discusses the pathology and mechanism of brain edema, the effects of brain edema on ICH, and the methods of treating brain edema after ICH.


2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Felix Siaw-Debrah ◽  
Mark Nyanzu ◽  
Haoqi Ni ◽  
Xiao Lin ◽  
Zhu Xu ◽  
...  

Intracerebral hemorrhage (ICH) which refers to bleeding in the brain is a very deleterious condition with high mortality and disability rate. Surgery or conservative therapy remains the treatment option. Various studies have divided the disease process of ICH into primary and secondary injury, for which knowledge into these processes has yielded many preclinical and clinical treatment options. The aim of this review is to highlight some of the new experimental drugs as well as other treatment options like stem cell therapy, rehabilitation, and nanomedicine and mention some translational clinical applications that have been done with these treatment options.


Soft Matter ◽  
2021 ◽  
Author(s):  
Soumitra Ghorai ◽  
Kaushik Sen ◽  
Debjani Nag ◽  
Pratik Swarup Dash

Recently, utilization of inferior grade coal for production of fuel based material i.e. metallurgical coke is an exciting research area in industrial sector because of the limited reserve of prime...


2017 ◽  
Vol 47 (2) ◽  
pp. 218-229 ◽  
Author(s):  
Cong LUO ◽  
JinHua LIU ◽  
DaChun HUANG ◽  
XiaoDong YU ◽  
DianCheng CHEN ◽  
...  

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