Bioinformatics-based Prediction of the mechanism and targets for BushenjieduDecoction in preventing relapse of acute leukemia

2020 ◽  
Author(s):  
Weilong Sun ◽  
Fujun Yang ◽  
Weipeng Shi ◽  
Xia Tao ◽  
Zhiwei Xi ◽  
...  
Keyword(s):  
Bioinformatics Analysis ◽  
Topological Analysis ◽  
Traditional Chinese Medicines ◽  
Potential Mechanism ◽  
Ppi Network ◽  
Chinese Medicines ◽  
Kegg Pathways ◽  
Long Time ◽  
Underlying Mechanisms

Abstract Background: Leukemia is a lethal myeloproliferative disorder, its’ relapse following chemotherapy is the major concern in clinical practice. For a long time, we found that traditional Chinese medicines such as Bushenjiedudecoction (BSJD) have significant effects on delaying relapse. However, the underlying mechanisms are not clear, which limits the clinical application of BSJD decoction. Methods: Therefore, we tried to make some explorations in this study. We isolated mesenchymal stem cells (MSC) after treated them with BSJD for proteomic analysis. And then 109 targets were screened out through analysis of the shared proteins of that affected by BSJD and those related to leukemia. Subsequently, the data were analyzed by GO functions, KEGG pathways, PPI network and topological analysis, and then some nodes were selected for animal experiment. Results: As a result, we demonstrated the effective targets of BSJD on MSC through bioinformatics analysis and explored the potential mechanism of BSJD from its influence on niches.These targets contains Hspb1、Dnmt1、Mmp2、Thbs1、Crebbp、Hmgb1、Acta2、Cdkn1b、Atg7、Tsc2 and Icam1. Afterwards, we confirmed BSJD reduced the gene expression of ICAM-1 through cultured MSC in vitro.Conclusions: We screened the potential targets of BSJD on MSC through proteomics and bioinformatics analysis, and selected some genes for experimental verification. These studies demonstrated the effect of BSJD on MSC. We hope that this research method could provide a new way of systematically studying the effects of traditional Chinese medicine on diseases.

scholarly journals High Throughput Bioinformatics-based Prediction of the targets for BushenjieduDecoction in preventing relapse of acute leukemia

2020 ◽  
Author(s):  
Weilong Sun ◽  
Fujun Yang ◽  
Weipeng Shi ◽  
Xia Tao ◽  
Zhiwei Xi ◽  
...  
Keyword(s):  
Bioinformatics Analysis ◽  
Topological Analysis ◽  
Myeloproliferative Disorder ◽  
Traditional Chinese Medicines ◽  
Potential Mechanism ◽  
Ppi Network ◽  
Chinese Medicines ◽  
Kegg Pathways ◽  
Long Time ◽  
Underlying Mechanisms

Abstract Leukemia is a lethal myeloproliferative disorder, its’ relapse following chemotherapy is the major concern in clinical practice. For a long time, we found that traditional Chinese medicines such as Bushenjiedudecoction (BSJD) have significant effects on delaying relapse. However, the underlying mechanisms are not clear, which limits the clinical application of BSJD decoction. Therefore, we tried to make some explorations in this study. We isolated mesenchymal stem cells (MSC) after treated them with BSJD for proteomic analysis. And then 109 targets were screened out through analysis of the shared proteins of that affected by BSJD and those related to leukemia. Subsequently, the data were analyzed by GO functions, KEGG pathways, PPI network and topological analysis, and then some nodes were selected for animal experiment. As a result, we demonstrated the effective targets of BSJD on MSC through bioinformatics analysis and explored the potential mechanism of BSJD from its influence on niches.

scholarly journals Arsenic Bioaccessibility of Realgar Influenced by the Other Traditional Chinese Medicines in Niuhuang Jiedu Tablet and the Roles of Gut Microbiota

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Wenfeng Xu ◽  
Shuo Xu ◽  
Shanshan Zhang ◽  
Xuejun Wu ◽  
Pengfei Jin
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Gut Microbiota ◽  
Incubation Medium ◽  
Toxic Elements ◽  
The Other ◽  
Traditional Chinese Medicines ◽  
Chinese Medicines ◽  
Scutellariae Radix

Niuhuang Jiedu tablet (NJT), a realgar (As2S2) containing Traditional Chinese Medicine (TCM), is a well-known formula. The safety of NJT is of growing concern since arsenic (As) is considered as one of the most toxic elements. NJT was demonstrated to be safer than realgar by our previous experiments and some other studies. The toxicity of realgar has been shown to be related to the amount of soluble or bioaccessible arsenic. In this study, the influences of the other TCMs in NJT on the bioaccessibility of arsenic from realgar, and the roles of gut microbiota during this process were investigated in vitro. Results showed that Dahuang (Rhei Radix et Rhizoma), Huangqin (Scutellariae Radix), Jiegeng (Platycodonis Radix), and Gancao (Glycyrrhizae Radix et Rhizoma) could significantly reduce the bioaccessibility of arsenic from realgar in artificial gastrointestinal fluids. Gut microbiota played an important role in decreasing the bioaccessibility of realgar because it was demonstrated to be able to absorb the soluble arsenic from realgar in the incubation medium. Dahuang, Huangqin, and Jiegeng could modulate the gut microbiota to enhance its arsenic absorption activity.

Exploration of the Potential Mechanism of Calculus Bovis in Treatment of Primary Liver Cancer by Network Pharmacology

2020 ◽  
Vol 23 ◽  
Author(s):  
Zhen Zhang ◽  
Puhua Zeng ◽  
Wenhui Gao ◽  
Ruoxia Wu ◽  
Tianhao Deng ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Small Molecules ◽  
Caspase 3 ◽  
Primary Liver Cancer ◽  
Network Pharmacology ◽  
Potential Mechanism ◽  
Vitro Experiment ◽  
In Vitro Experiment ◽  
Long Time

Aim and Objective: Calculus Bovis (CB) has been employed to treat diseases for a long time. It has been identified to play significant anti-inflammatory and anti-tumor roles. However, the mechanism of treating primary liver cancer (PLC) remains to be revealed. This study aims to clarify the molecules and mechanisms of CB in treating PLC. Materials and Methods: After oral bioavailability (OB) and drug-likeness (DL) screening, 15 small molecules were identified as the potential ingredients against PLC. Following this, related targets network constructions and pathways were applied to clarify the mechanism of CB in treating PLC. An in vitro experiment was carried out to identify the function of CB in treating PLC. Results: Eleven compounds of CB were identified that play an anti-PLC role, including oleanolic acid, ergosterol, ursolic acid, etc. The potential targets which were observed include: IL6, MAPK-8, VEGFA, Caspase-3, etc. Further analysis showed that the mechanism of CB in the treatment of PLC involved apoptosis-related pathways and immune- related pathways. Conclusion: In summary, the current study combines network pharmacology and in vitro experiments to reveal the mechanism of CB against PLC. We concluded that 11 ingredients of CB have an anti-PLC effect. Furthermore, CB plays a key role in treating PLC mainly by apoptosis-related pathways and immune-related pathways. Our experiment verifies that CB promotes the apoptosis of SMMC-7721.

scholarly journals Bioinformatics Analysis for the Antirheumatic Effects of Huang-Lian-Jie-Du-Tang from a Network Perspective

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Haiyang Fang ◽  
Yichuan Wang ◽  
Tinghong Yang ◽  
Yang Ga ◽  
Yi Zhang ◽  
...  
Keyword(s):  
Therapeutic Effect ◽  
Bioinformatics Analysis ◽  
Topological Analysis ◽  
Ppi Network ◽  
New Approach ◽  
Target Proteins ◽  
Multiple Components ◽  
Main Pathway ◽  
Tcm Theory ◽  
Therapeutic Mechanisms

Huang-Lian-Jie-Du-Tang (HLJDT) is a classic TCM formula to clear “heat” and “poison” that exhibits antirheumatic activity. Here we investigated the therapeutic mechanisms of HLJDT at protein network level using bioinformatics approach. It was found that HLJDT shares 5 target proteins with 3 types of anti-RA drugs, and several pathways in immune system and bone formation are significantly regulated by HLJDT’s components, suggesting the therapeutic effect of HLJDT on RA. By defining an antirheumatic effect score to quantitatively measure the therapeutic effect, we found that the score of each HLJDT’s component is very low, while the whole HLJDT achieves a much higher effect score, suggesting a synergistic effect of HLJDT achieved by its multiple components acting on multiple targets. At last, topological analysis on the RA-associated PPI network was conducted to illustrate key roles of HLJDT’s target proteins on this network. Integrating our findings with TCM theory suggests that HLJDT targets on hub nodes and main pathway in the Hot ZENG network, and thus it could be applied as adjuvant treatment for Hot-ZENG-related RA. This study may facilitate our understanding of antirheumatic effect of HLJDT and it may suggest new approach for the study of TCM pharmacology.

The Neuroprotective Effects of BNG-1: A New Formulation of Traditional Chinese Medicines for Stroke

2005 ◽  
Vol 33 (01) ◽  
pp. 61-71 ◽  
Author(s):  
Fong-Chi Cheng ◽  
Wen-Long Chen ◽  
Jiann-Wu Wei ◽  
Ken-Shung Huang ◽  
George G. Yarbrough
Keyword(s):  
Clinical Results ◽  
Artery Occlusion ◽  
Drug Formulation ◽  
Cerebral Stroke ◽  
Therapeutic Effects ◽  
Traditional Chinese Medicines ◽  
Neuroprotective Effects ◽  
Chinese Medicines

BNG-1, a novel mixture of traditional Chinese medicines with a long history in the treatment of stroke, exhibited acute neuroprotection effect on rats with middle cerebral artery occlusion (MCAO). Anti-ischemic effects were seen in both animals receiving BNG-1 before the ischemic insult as well as in animals receiving the drug formulation after surgical occlusion of the artery. Anti-thrombic activity was seen in vitro to inhibit arachidonic acid-induced platelet aggregation and in vivo to prolong bleeding time in mice. BNG-1 was also found to inhibit several phosphodiesterase (PDE) isoforms with potency order of the following rank: PDE 1>PDE 3>PDE 6>PDE 2>PDE 4>PDE 5. Other pre-clinical results and emerging clinical data coupled with the present findings suggest that BNG-1 may be a safe and effective therapy for both the prevention and treatment of cerebral stroke. Moreover, the fundamental cellular mechanism underlying its therapeutic effects may result from phosphodiesterase inhibition.

scholarly journals Construction of Lung Tumor Model for Drug Screening Based on 3D Bio-Printing Technology

2021 ◽  
Vol 11 (7) ◽  
pp. 1213-1226
Author(s):  
Yadong Yang ◽  
Geng Yang ◽  
Xingzhu Liu ◽  
Yimeng Xu ◽  
Siyu Zhao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
3D Model ◽  
Cultured Cells ◽  
Lung Tumor ◽  
Three Dimensional ◽  
Tumor Model ◽  
Traditional Chinese Medicines ◽  
Chinese Medicines

As is known to all, the biological characteristics of two-dimensional (2D) cultured cells are quite different from those in vivo, so the 2D screening model can no longer meet people’s needs. With the development of tissue engineering, people are committed to developing 3D tissue models that can better reflect the biology in vivo, and tend to be mass and miniaturized. In this study, three-dimensional (3D) bio-printing was used to develop an appropriate 3D model for screening sensitive anti-lung cancer drugs in vitro. A549 lung cancer cells were mixed with 8% sodium alginate and 5% gelatin as bio-printing ink to fabricate a cell-laden hydrogel grid scaffold structure. The sensitivity of the printed 3D model to drugs was evaluated with eight anti-tumor traditional Chinese medicines. A fluorescent live/dead staining was carried out at different time to assess the cell survival rate in the 3D scaffolds. MTT assay was used to determine the inhibitory rate of eight antitumor traditional Chinese medicines on A549 cell proliferation in 3D-printed lung tumor models and conventional 2D culture models.

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