scholarly journals A Network Pharmacology-Based Strategy for Predicting Active Ingredients and Potential Targets of Shuilu Erxian Dan in Treating Diabetic Kidney Disease

2020 ◽  
Author(s):  
Tingchao Wu ◽  
Rensong Yue ◽  
Mingmin He
Keyword(s):  
Kidney Disease ◽  
Signaling Pathway ◽  
Diabetic Kidney Disease ◽  
Molecular Mechanisms ◽  
Fluid Shear Stress ◽  
Experimental Studies ◽  
Network Pharmacology ◽  
Active Ingredients ◽  
Active Components ◽  
Diabetic Kidney

Abstract Background and objective: Recent years, some Chinese scholars have applied Shuilu Erxian Dan (SED) to the treatment of treating diabetic kidney disease (DKD) and achieved well curative effect. However, these studies are mostly limited to clinical observation. This study aimed to explore the molecular mechanisms of SED in treating DKD. Methods The active components of SED were retrieved in TCMSP database and BATMAN-TCM database, and the herbal targets were obtained by drugbank database and SwissTargetPrediction platform. The gene expression data of DKD patients were downloaded from GEO database and analyzed to obtain DKD-related targets. The ingredient-target network and the PPI network were constructed by Cytoscape software. The clusterProfiler package of R software is used for bioinformatic analysis. Molecular docking was further applied to verify the interaction between compounds and targets by Autodock Vina software. Results 610 differential expressed genes of DKD patients were obtained, and 29 potential targets of SED against DKD were screened out (including PPTGS2, FABP3, HSD17B2, FABP1, HSD11B2, CYP27B1, JUN, UGT2B7, VCAM1, CA2, MAOA, MMP2, CXCR1, SLC22A6, EPHX2, SLC47A1, FOS, EGF, CCL2, COL3A1, GSTA1, GSTA2, HSPA1A, DAO, ALDH2, ALB, GPR18, FPR2, and LPL). All the active ingredients in SED can act on the DKD-related targets, among which quercetin, Ellagic acid, and kaempferol may be the key active compounds. SED may play a therapeutic role in DKD by regulating pathways including “Fluid shear stress and atherosclerosis”, “AGE − RAGE signaling pathway in diabetic complications” and “IL-17 signaling pathway”. Conclusion This study suggests that the mechanism of SED treating DKD is a complex network with multi-target and multi-pathway, which provides a reference for future experimental studies.

scholarly journals Investigation of Active Ingredients and Mechanism of Sanao Decoction in the Treatment of Chronic Cough by Network Pharmacology

2020 ◽  
Author(s):  
Mengke Sheng ◽  
Xing Liu ◽  
Qingsong Qu ◽  
Xiaowen Wu ◽  
Yuyao Liao ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Signaling Pathway ◽  
Chronic Cough ◽  
Fluid Shear Stress ◽  
Oxidant Stress ◽  
Network Pharmacology ◽  
Ppi Network ◽  
Active Ingredients ◽  
Active Components ◽  
Pathway Network

Abstract Background: Chronic cough significantly affects human health and quality of life. Studies have shown that Sanao Decoction（SAD）can clinically treat chronic cough. To investigate its mechanisms, we used the method of network pharmacology to conduct research at the molecular level.Methods: The active ingredients and their targets were screened by pharmacokinetics parameters from the traditional Chinese medicine system pharmacology analysis platform (TCMSP). The relevant targets of chronic cough were obtained from two databases: GeneCards and DrugBank. Take the intersection to get potential targets of SAD to treat chronic cough and establish the component-target regulatory network by CytoScape3.7.2 and protein-protein interaction (PPI) network by STRING 1.0. The function of the target gene and related pathways were analyzed by the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) in the Database for Annotation, Visualization, and Integrated Discovery (DAVID). The significant pathways and their relevant targets were obtained and the target-pathway network was established by CytoScape3.7.2. Finally, molecular docking of the core active components and relevant targets was performed.Results: A total of 98 active components, 113 targets were identified. The component-target and target-pathway network of SAD and PPI network were established. Enrichment analysis of DAVID indicated that 2062 terms were in biological processes, 77 in cellular components, 142 in molecular functions and 20 significant pathways. In addition, the molecular docking showed that quercetin and luteolin had a good combination with the corresponding targets.Conclusions: It indicates that the active compounds of SAD, such as quercetin, luteolin, may act on AKT1, MAPK1, RELA, EGFR, BCL2 and regulate PI3K-Akt signaling pathway, AGE-RAGE signaling pathway in diabetic complications and Fluid shear stress and atherosclerosis pathway to exert the effects of anti-inflammatory, anti-airway remodeling, anti-oxidant stress and repair airway damage to treat chronic cough.

scholarly journals A Network Pharmacology Approach to Understanding the Mechanisms of Action of Traditional Medicine: Rheum L. for Diabetic Kidney Disease

2020 ◽  
Author(s):  
Jinli Luo ◽  
Chunli Piao ◽  
De Jin ◽  
Li Wang ◽  
Xiaohua Zhao ◽  
...  
Keyword(s):  
Kidney Disease ◽  
Diabetic Kidney Disease ◽  
Molecular Mechanisms ◽  
Chinese Herb ◽  
Enrichment Analysis ◽  
Peripheral Circulation ◽  
Network Pharmacology ◽  
Pathway Enrichment Analysis ◽  
Diabetic Kidney ◽  
Underlying Mechanisms

Abstract BackgroundRheum L. (Da-huang in pinyin, Radix Rhei Et Rhizome in pharmaceutical name), a classic Chinese herb, has been extensively used to treat diabetic kidney disease in clinical practice in China for many years. However, the pharmacological mechanisms of Rheum L. remain elusive. To decrypt the underlying mechanisms of Rheum L. in the treatment of diabetic kidney disease using a systems pharmacology approach. MethodsA network pharmacology-based strategy was proposed to elucidate the underlying multi-component, multi-target, and multi-pathway mode of action of Rheum L. against diabetic kidney disease. We collected putative targets of Rheum L. and a network of the interactions among the putative targets of Rheum L. and known therapeutic targets of diabetic kidney disease was built. The major hubs were imported to the Database to perform a pathway enrichment analysis. ResultsA total of 6 active ingredients and 271 targets of Rheum L. were picked out. 11 cellular biological processes and 18 pathways of Rheum L. mostly associated with inflammatory response, apoptosis, fibrosis, and peripheral circulation. ConclusionsRheum L. could alleviate diabetic kidney disease via the molecular mechanisms predicted by network pharmacology.

scholarly journals Network Pharmacology-Based Investigation into the Mechanisms of Qibangyishen Formula for the Treatment of Diabetic Kidney Disease

2021 ◽  
Author(s):  
Zhi Wang ◽  
Guihua Jian
Keyword(s):  
Kidney Disease ◽  
Diabetic Kidney Disease ◽  
Osteoclast Differentiation ◽  
Treatment Strategies ◽  
Enrichment Analysis ◽  
Network Pharmacology ◽  
Pathway Enrichment Analysis ◽  
Disease Genes ◽  
Active Ingredients ◽  
Diabetic Kidney

Abstract Background Diabetic kidney disease is the main microvascular complication of diabetes, and new treatment strategies are needed. We investigated the multi-component, multi-target, and multi-path mechanism of Qibangyishen formula for the treatment of diabetic kidney disease by network pharmacology methods. Methods We collected the active ingredients and targets of Qibangyishen formula and examined diabetic kidney disease-related genes by searching the ETCM, TCMID, and DisGeNet databases. We constructed and analyzed the genetic network through Cytoscape software and used the STRING platform for pathway enrichment analysis. Results We uncovered 421 active ingredients of Qibangyishen formula, corresponding to 748 targets. A network analysis screen revealed 47 hub-node targets, and 13 of these targets were diabetic kidney disease-related disease genes. Further functional analysis identified 26 targets acting on 11 pathways related to the development of diabetic kidney disease, including PI3K-Akt, thyroid hormone, neurotrophin, Wnt, chemokine, and osteoclast differentiation signaling pathways. Conclusions This study suggests that Qibangyishen formula regulates multiple genes and biological processes related to diabetic kidney disease and provides a foundation for further research and clinical applications.

scholarly journals Potential mechanisms of Guizhi decoction against hypertension based on network pharmacology and Dahl salt-sensitive rat model

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Jiye Chen ◽  
Yongjian Zhang ◽  
Yongcheng Wang ◽  
Ping Jiang ◽  
Guofeng Zhou ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Rat Model ◽  
Experimental Studies ◽  
Matrix Metalloproteinase 2 ◽  
Network Pharmacology ◽  
Pathway Enrichment Analysis ◽  
Therapeutic Effects ◽  
Active Ingredients ◽  
Active Compounds ◽  
Guizhi Decoction

Abstract Background Guizhi decoction (GZD), a classical Chinese herbal formula, has been widely used to treat hypertension, but its underlying mechanisms remain elusive. The present study aimed to explore the potential mechanisms and therapeutic effects of GZD on hypertension by integrating network pharmacology and experimental validation. Methods The active ingredients and corresponding targets were collected from the Traditional Chinese Medicine Systems Pharmacology database and Analysis Platform (TCMSP). The targets related to hypertension were identified from the CTD, GeneCards, OMIM and Drugbank databases. Multiple networks were constructed to identify the key compounds, hub targets, and main biological processes and pathways of GZD against hypertension. The Surflex-Dock software was used to validate the binding affinity between key targets and their corresponding active compounds. The Dahl salt-sensitive rat model was used to evaluate the therapeutic effects of GZD against hypertension. Results A total of 112 active ingredients, 222 targets of GZD and 341 hypertension-related targets were obtained. Furthermore, 56 overlapping targets were identified, five of which were determined as the hub targets for experimental verification, including interleukin 6 (IL-6), C–C motif chemokine 2 (CCL2), IL-1β, matrix metalloproteinase 2 (MMP-2), and MMP-9. Pathway enrichment analysis results indicated that 56 overlapping targets were mainly enriched in several inflammation pathways such as the tumor necrosis factor (TNF) signaling pathway, Toll-like receptor (TLR) signaling pathway and nuclear factor kappa-B (NF-κB) signaling pathway. Molecular docking confirmed that most active compounds of GZD could bind tightly to the key targets. Experimental studies revealed that the administration of GZD improved blood pressure, reduced the area of cardiac fibrosis, and inhibited the expression of IL-6, CCL2, IL-1β, MMP-2 and MMP-9 in rats. Conclusion The potential mechanisms and therapeutic effects of GZD on hypertension may be attributed to the regulation of cardiac inflammation and fibrosis.

scholarly journals Use of Network Pharmacology to Explore the Mechanism of Gegen (Puerariae lobatae Radix) in the Treatment of Type 2 Diabetes Mellitus Associated with Hyperlipidemia

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Guozhen Yuan ◽  
Shuai Shi ◽  
Qiulei Jia ◽  
Jingjing Shi ◽  
Shuqing Shi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Signaling Pathway ◽  
Fluid Shear Stress ◽  
Chinese Herbs ◽  
Network Pharmacology ◽  
Biological Processes ◽  
Active Ingredients

Rapid increases in metabolic disorders, such as type 2 diabetes mellitus (T2DM) and hyperlipidemia, are becoming a substantial challenge to worldwide public health. Traditional Chinese medicine has a long history and abundant experience in the treatment of diabetes and hyperlipidemia, and Puerariae lobatae Radix (known as Gegen in Chinese) is one of the most prevalent Chinese herbs applied to treat these diseases. The underlying mechanism by which Gegen simultaneously treats diabetes and hyperlipidemia, however, has not been clearly elucidated to date. Therefore, we systematically explored the potential mechanism of Gegen in the treatment of T2DM complicated with hyperlipidemia based on network pharmacology. We screened the potential targets of Gegen, T2DM, and hyperlipidemia in several online databases. Then, the hub targets were analyzed by performing protein-protein interaction, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment assays, and finally, the complicated connections among compounds, targets, and pathways were visualized in Cytoscape. We found that isoflavones, including daidzein, genistein, and puerarin, as well as β-sitosterol, are the key active ingredients of Gegen responsible for its antidiabetic and antihyperlipidemia effects, which mainly target AKR1B1, EGFR, ESR, TNF, NOS3, MAPK3, PPAR, CYP19A1, INS, IL6, and SORD and multiple pathways, such as the PI3K-Akt signaling pathway; the AGE-RAGE signaling pathway in diabetic complications, fluid shear stress, and atherosclerosis; the PPAR signaling pathway; insulin resistance; the HIF-1 signaling pathway; the TNF signaling pathway; and others. These active ingredients also target multiple biological processes, including the regulation of glucose and lipid metabolism, the maintenance of metabolic homeostasis, and anti-inflammatory and antioxidant pathways. In conclusion, Gegen is a promising therapeutic phytomedicine for T2DM with hyperlipidemia that targets multiple proteins, biological processes, and pathways.

scholarly journals Significance of Metformin Use in Diabetic Kidney Disease

2020 ◽  
Vol 21 (12) ◽  
pp. 4239 ◽  
Author(s):  
Daiji Kawanami ◽  
Yuichi Takashi ◽  
Makito Tanabe
Keyword(s):  
Kidney Disease ◽  
Diabetic Kidney Disease ◽  
Experimental Studies ◽  
Glucose Lowering ◽  
Diabetic Kidney ◽  
First Line Therapy ◽  
Stage Renal Disease ◽  
End Stage ◽  
Pharmacologic Actions

Metformin is a glucose-lowering agent that is used as a first-line therapy for type 2 diabetes (T2D). Based on its various pharmacologic actions, the renoprotective effects of metformin have been extensively studied. A series of experimental studies demonstrated that metformin attenuates diabetic kidney disease (DKD) by suppressing renal inflammation, oxidative stress and fibrosis. In clinical studies, metformin use has been shown to be associated with reduced rates of mortality, cardiovascular disease and progression to end-stage renal disease (ESRD) in T2D patients with chronic kidney disease (CKD). However, metformin should be administered with caution to patients with CKD because it may increase the risk of lactic acidosis. In this review article, we summarize our current understanding of the safety and efficacy of metformin for DKD.

scholarly journals A Network Pharmacology-Based Study on Active Ingredients of Corydalis Rhizoma on Coronary Heart Disease

2020 ◽  
Author(s):  
Ying Li ◽  
Guhang Wei ◽  
Zhenkun Zhuang ◽  
Mingtai Chen ◽  
Changjian Yuan ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Rna Polymerase ◽  
Rna Polymerase Ii ◽  
Signaling Pathway ◽  
Network Pharmacology ◽  
Active Ingredients ◽  
Active Components

Abstract BackgroundCorydalis Rhizoma(CR) showed a high efficacy for coronary heart disease (CHD). However, the interaction between the active ingredients of CR and the targets of CHD has not been unequivocally explained in previous researches. To study the active components and potential targets of Corydalis Rhizoma and to determine the mechanism underlying the exact effect of Corydalis Rhizoma on coronary heart disease, a method of network pharmacology was used.Materials and MethodsThe active components of CR and targets corresponding to each component were scanned out from Traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP), and target genes of CHD were searched on GeneCards database and Online Mendelian Inheritance in Man(OMIM) database. The active components and common targets of CR and CHD were used to build the “CR-CHD” network through Cytoscape (version 3.2.1) software as well as protein-protein interaction(PPI) network on String database. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis was executed by clusterProfiler(version 3.8) and DOSE(version 3.6) package on R platform.Results49 active ingredients and 394 relevant targets of CR and the 7173 CHD-related genes were retrieved. 40 common genes were selected for subsequent analysis. Crucial biological processes and pathways were obtained and analyzed, including DNA-binding transcription activator activity, RNA polymerase II-specific, RNA polymerase II transcription factor binding, kinase regulator activity, ubiquitin-like protein ligase binding, fluid shear stress and atherosclerosis, TNF signaling pathway, apoptosis, MAPK signaling pathway and PI3K-Akt signaling pathway.ConclusionsOverall, CR could alleviate CHD through the mechanisms predicted by network pharmacology, laying the foundation for future development of new drugs from traditional Chinese medicine on CHD.

scholarly journals Exercise Ameliorates Diabetic Kidney Disease in Type 2 Diabetic Fatty Rats

Antioxidants ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1754
Author(s):  
Itaru Monno ◽  
Yoshio Ogura ◽  
Jing Xu ◽  
Daisuke Koya ◽  
Munehiro Kitada
Keyword(s):  
Kidney Disease ◽  
Diabetic Kidney Disease ◽  
Molecular Mechanisms ◽  
Kidney Injury ◽  
Male Rats ◽  
Fatty Acid Binding ◽  
Diabetic Kidney ◽  
Beneficial Effects ◽  
Type 2 Diabetic

Lifestyle improvement, including through exercise, has been recognized as an important mode of therapy for the suppression of diabetic kidney disease (DKD). However, the detailed molecular mechanisms by which exercise exerts beneficial effects in the suppression of DKD have not yet been fully elucidated. In this study, we investigate the effects of treadmill exercise training (TET) for 8 weeks (13 m/min, 30 min/day, 5 days/week) on kidney injuries of type 2 diabetic male rats with obesity (Wistar fatty (fa/fa) rats: WFRs) at 36 weeks of age. TET significantly suppressed the levels of albuminuria and urinary liver-type fatty-acid-binding protein (L-FABP), tubulointerstitial fibrosis, inflammation, and oxidative stress in the kidneys of WFRs. In addition, TET mitigated excessive apoptosis and restored autophagy in the renal cortex, as well as suppressed the development of morphological abnormalities in the mitochondria of proximal tubular cells, which were also accompanied by the restoration of AMP-activated kinase (AMPK) activity and suppression of the mechanistic target of rapamycin complex 1 (mTORC1). In conclusion, TET ameliorates diabetes-induced kidney injury in type 2 diabetic fatty rats.

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