scholarly journals Exploration of the Potential Mechanisms of Lingqihuangban Granule for Treating Diabetic Retinopathy Based on Network Pharmacology

2020 ◽  
Author(s):  
Shuai He ◽  
Chufeng Gu ◽  
Tong Su ◽  
Chuandi Zhou ◽  
Thashi Lhamo ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Function Analysis ◽  
Interaction Network ◽  
Network Pharmacology ◽  
Go Annotation ◽  
Chinese Herbal ◽  
Department Of Ophthalmology ◽  
Herbal Compound ◽  
Bioactive Ingredients ◽  
Chinese Herbal Compound

Abstract Background: The Lingqihuangban Granule (LQHBG), a remarkable Chinese herbal compound, has been used for decades to treat diabetic retinopathy (DR) in Department of Ophthalmology, Shanghai General Hospital (National Clinical Research Center for Eye Diseases) with obvious effects. Through the method of network pharmacology, the present study constructed bioactive component-relative targets and protein-protein interaction network of the LQHBG and implemented gene function analysis and pathway enrichment of targets, discussing the mechanisms of traditional Chinese medicine LQHBG in treating DR. Materials and methods: The bioactive ingredients of LQHBG were screened and obtained using TCMSP and ETCM databases, while the potential targets of bioactive ingredients were predicted by SwissTargetPrediction and ETCM databases. Compared with the disease target databases of TTD, Drugbank, OMIM and DisGeNET, the therapeutic targets of LQHBG for DR were extracted. Based on DAVID platform, GO annotation and KEGG pathway analyses of key targets were explored, combined with the screening of core pathways on Omicshare database and pathway annotation on Reactome database. Results: A total of 357 bioactive components were screened from LQHBG, involving 86 possible targets of LQHBG treating DR. In PPI network, INS and ALB were identified as key genes. The effective targets were enriched in multiple signaling pathways, such as PI3K/Akt and MAPK pathways. Conclusion: This study revealed the possible targets and pathways of LQHBG treating DR, reflecting the characteristics of multicomponent, multitarget and multipathway treatment of a Chinese herbal compound, and provided new ideas for further discussion.

scholarly journals A network pharmacology approach to determine the underlying mechanisms of action of Yishen Tongluo formula for the treatment of oligoasthenozoospermia

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252906
Author(s):  
Yangdi Chen ◽  
Fanggang Bi ◽  
Zixue Sun
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Molecular Mechanisms ◽  
Complex Disease ◽  
Interaction Network ◽  
Network Pharmacology ◽  
Analysis Tool ◽  
Pathway Network ◽  
Bioactive Ingredients ◽  
Chinese Herbal Compound

Oligoasthenozoospermia is a complex disease caused by a variety of factors, and its incidence is increasing yearly worldwide. Yishen Tongluo formula (YSTLF), created by Professor Sun Zixue, has been used to treat oligoasthenozoospermia in clinical practice for several decades with a good therapeutic effect. However, the chemical and pharmacological profiles of YSTLF remain unclear and need to be elucidated. In this study, a network pharmacology approach was applied to explore the potential mechanisms of YSTLF in oligoasthenozoospermia treatment. All of the compounds in YSTLF were retrieved from the corresponding databases, and the bioactive ingredients were screened according to their oral bioavailability (OB) and drug-likeness (DL). The potential proteins of YSTLF were obtained from the traditional Chinese medicine systems pharmacology (TCMSP) database and the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) database, while the potential genes of oligoasthenozoospermia were obtained from the GeneCards database and the DisGeNET database. The STRING database was used to construct an interaction network according to the common targets identified by the online tool Venny for YSTLF and oligoasthenozoospermia. The topological characteristics of nodes were visualized and analyzed through Cytoscape. Biological functions and significant pathways were determined and analyzed using the Gene Ontology (GO) knowledgebase, the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Metascape. Finally, the disease-formula-compound-target-pathway network was constructed by Cytoscape. A total of 106 bioactive ingredients and 134 potential targets from YSTLF were associated with oligoasthenozoospermia or considered to be therapeutically relevant. Pathway analysis indicated that the PI3K/Akt, MAPK and apoptosis signaling pathways were significant pathways involved in oligoasthenozoospermia. In conclusion, the current study expounded the pharmacological actions and molecular mechanisms of YSTLF in treating oligoasthenozoospermia from a holistic viewpoint. The potential molecular mechanisms were closely related to antioxidative stress, antiapoptosis and anti-inflammation, with TNF, CCND1, ESR1, NFKBIA, NR3C1, MAPK8, and IL6 being possible targets. This network pharmacology prediction may offer a helpful tool to illustrate the molecular mechanisms of the Chinese herbal compound YSTLF in oligoasthenozoospermia treatment.

Study on the Antipyretic Mechanism of Baihu Decoction: Network Pharmacology Prediction and Experimental Verification

2021 ◽  
Vol 15 (3) ◽  
pp. 334-341
Author(s):  
Jiahang Zuo ◽  
Hongbo Ye ◽  
He Lin ◽  
Guangfu Lv ◽  
Yuchen Wang ◽  
...  
Keyword(s):  
Biological Function ◽  
Kegg Pathway ◽  
Function Analysis ◽  
Hypoxia Inducible Factor ◽  
Interaction Network ◽  
Network Pharmacology ◽  
Antipyretic Effect ◽  
Hypoxia Inducible Factor 1 ◽  
Forkhead Box ◽  
Pathway Analyses

To better understand the antipyretic mechanism of Baihu decoction, the network pharmacology was used to predict its antipyretic components, targets, functions and pathways, and the prediction results were experimentally verified. BATMAN-TCM was used to obtain the components of Baihu decoction, GeneCards was used to screen fever related targets, STRING was used to analyze the protein interaction network of the selected targets. Bioconductor software was used to analyze the gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway, and one of the KEGG pathway analyses was performed by cell inflammation model, and was verified by experiments. In the results, total 263 compounds were screened out, 54 potential antipyretic targets were identified, 84 items were obtained by GO function analysis, and 29 pathways were obtained by KEGG analysis, including hypoxia inducible factor-1, Forkhead box O (FOXO) Ras related protein 1 (Rap1), nuclear factor-κ (NF-κB) and other signalling pathways. In the verification experiment of NF-κB signalling pathway, the expression of NF-κB, Inhibitory kappa B kinase beta (IκKβ) and IκBα protein were significantly difference between the Baihu decoction group (P < 0.01) and the model group (P < 0.05), suggesting that Baihu decoction plays the antipyretic effect by affecting IκKβ, Inhibitory kappa B alpha (IκBα) and NF-κB. In conclusion, the interaction of multiple targets in the antipyretic effect of Baihu Decoction and its biological function and pathways were preliminarily demonstrated.

scholarly journals Exploring the Mechanism of Action Compound-Xueshuantong Capsule in Diabetic Retinopathy Treatment Based on Network Pharmacology

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Haoran Li ◽  
Biao Li ◽  
Yanlin Zheng
Keyword(s):  
Diabetic Retinopathy ◽  
Active Ingredient ◽  
Diabetic Complications ◽  
Interaction Network ◽  
Signal Pathway ◽  
Tanshinone Iia ◽  
Network Pharmacology ◽  
Active Components ◽  
Disease Treatment

Aim of the Study. To study the mechanism of Compound-Xueshuantong Capsule in diabetic retinopathy treatment based on network pharmacology. Materials and Methods. The components with oral bioavailability ≥30% and drug similarity ≥0.18 were screened by the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP), and the effective grouping of Compound-Xueshuantong Capsule was obtained. At the same time, the targets of each drug active component in the Compound-Xueshuantong Capsule were obtained by searching the TCMSP. The effective components and targets of the Compound-Xueshuantong Capsule were annotated by the UniProt database, and the disease treatment targets were searched by the GeneCards database. The disease treatment target is intersected with the drug target and the Wayne diagram is drawn by VennDiagram. The active ingredient targets of the intersection and Compound-Xueshuantong Capsule were inputted into Cytoscape 3.7.2 software to construct the active ingredient-target-disease interaction network. The above targets were inputted into the String database for protein-protein interaction network prediction. Finally, by using the DAVID database, GO and KEGG enrichment analysis was carried out to reveal the potential signal pathway of the Compound-Xueshuantong Capsule in diabetic retinopathy treatment. Results. 93 active components of the Compound-Xueshuantong Capsule and 92 targets for treating diabetic retinopathy were screened. The main active components of the Compound-Xueshuantong Capsule in treating diabetic retinopathy were quercetin, luteolin, kaempferol, beta-sitosterol, isorhamnetin, and tanshinone IIa. The effect of the Compound-Xueshuantong Capsule on diabetic retinopathy may be related to IL6, EFGR, CASP3, and VEGFA. In addition, the treatment of diabetic retinopathy mainly involves in the regulation of nuclear receptors and transcription factors in vivo. The target of the Compound-Xueshuantong Capsule in diabetic retinopathy treatment is significantly enriched in the AGE-RAGE signal pathway, TNF signal pathway, HIF-1 signal pathway, and VEGF signal pathway in diabetic complications. Conclusion. Compound-Xueshuantong Capsule can treat diabetic retinopathy through multitarget, multipathway, and multipathway regulation of the biomolecular network. The potential biological mechanism of the Compound-Xueshuantong Capsule in diabetic retinopathy treatment may be related to the AGE-RAGE signal pathway, TNF signal pathway, HIF-1 signal pathway, and VEGF signal pathway in diabetic complications, but these findings still need to be confirmed by further clinical research.

scholarly journals Efficacy and safety of Chinese herbal compound in the treatment of functional constipation

Medicine ◽  
2020 ◽  
Vol 99 (39) ◽  
pp. e22456
Author(s):  
Lijiang Ji ◽  
Yihua Fan ◽  
Linhui Li ◽  
Huiwen Bai ◽  
Liping Weng ◽  
...  
Keyword(s):  
Functional Constipation ◽  
Efficacy And Safety ◽  
Chinese Herbal ◽  
Herbal Compound ◽  
Chinese Herbal Compound

scholarly journals Study of the Mechanism of the Reyanning Mixture Involved in Treating Novel Coronavirus Pneumonia Based on Network Pharmacology

2020 ◽  
Vol 15 (9) ◽  
pp. 1934578X2095459
Author(s):  
Anping Yang ◽  
Hui Liu ◽  
Fang Liu ◽  
Lixia Fan ◽  
Wanqin Liao ◽  
...  
Keyword(s):  
Interaction Network ◽  
Clinical Results ◽  
Network Pharmacology ◽  
Peroxisome Proliferator ◽  
Peroxisome Proliferator Activated Receptor ◽  
Inflammatory Reactions ◽  
Kegg Pathways ◽  
Target Network ◽  
Bioactive Ingredients ◽  
Novel Coronavirus

At present, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread all over the world, and the best way to effectively carry out drug diagnosis and treatment presents difficulties for all medical staff. In China, some traditional Chinese medicines (TCMs) have been successfully applied to the treatment of SARS-CoV-2 and have achieved good clinical results, including the Reyanning mixture. In this study, we systematically analyzed the mechanism of the Reyanning mixture and its effects against SARS-CoV-2 based on the method of network pharmacology. Here, we used the TCM Systems Pharmacology database and employed a similarity algorithm to screen and identify the bioactive ingredients and potential targets of the Reyanning mixture. The GeneCards database was used to predict and screen the disease targets and build the active ingredient target network diagram. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to construct the target signal pathway associations. The STRING tool was used to reconstruct the protein-protein interaction network. As a result, 27 candidate targets, such as tumor necrosis factor, interferon gamma, tumor protein P53, C-reactive protein, and peroxisome proliferator-activated receptor gamma, were identified among the 33 bioactive ingredients of the 4 TCMs in the Reyanning mixture with effects on treating SARS-CoV-2. These targets were significantly enriched in 20 KEGG pathways and associated with 48 diverse GO terms. All of these targets may play a role in inhibiting inflammatory reactions, regulating immune function, and reducing lung injury to achieve the purpose of treating SARS-CoV-2.

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