&lt;p&gt;Identifying the Mechanisms and Molecular Targets of Yizhiqingxin Formula on Alzheimer’s Disease: Coupling Network Pharmacology with GEO Database&lt;/p&gt;

Zhang, Tingting; Pan, Linlin; Cao, Yu; Liu, Nanyang; Wei, Wei; Li, Hao

doi:10.2147/pgpm.s269726

Cited by 6 publications

(6 citation statements)

References 61 publications

(74 reference statements)

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“…This paper is purposed to predict the targets and underlying mechanism of Celastrol in reversing the early energy remodeling for DCM. So, network pharmacology concepts and methodologies were applied in this study to explore the key targets of Celastrol against DCM, as well as the pathways involved in the mechanism of action of DCM [ 17 – 19 ]. According to the relevant principles and methods of network pharmacology [ 17 , 20 ], we not only analyzed the main targets of Celastrol on DCM but also applied the research methods of “Li et al” to predict and analyze its enriched biological processes and signaling pathways [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Investigating Celastrol’s Anti-DCM Targets and Mechanisms via Network Pharmacology and Experimental Validation

Rui

Wan

Yang

et al. 2022

BioMed Research International

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Background and Purpose. DCM (diabetic cardiomyopathy), which may lead to significant complications including cardiovascular lesions, arrhythmia, and even heart failure, has a beginning element now known to be myocardial energy rebuilding. There are limited research on Celastrol’s ability to guard against this in the United States and elsewhere. Since it has not been known, whether Celastrol could reverse the early energy remodeling process, thus, it was hypothesized that triptolide Celastrol is suitable for the reversal of early myocardial energy remodeling in DCM. And our aim is to predict the targets and underlying mechanism of Celastrol in reversing the early energy remodeling for DCM. Methods. Data from TCMSP and GEO databases were utilized to identify targets for Celastrol on DCM. The relationship between the major targets and conventional glycolipid metabolism was obtained with Spearman correlation analysis. Experiments on animals were conducted utilizing healthy control (HC), low-dose Celastrol interventions (CL), and no intervention groups (NC), all of which had 8 SD rats in each group. To study alterations in signaling molecules, RT-PCR was performed. Results. There were 76 common targets and 5 major targets for Celastrol-DCM. Celastrol have been found to regulate AGE-RAGE, TNF, MAPK, TOLL-like receptors, insulin resistance, and other signaling pathways, and they are closely linked to adipocytokines, fatty acid metabolism, glycolipid biosynthesis, and glycosylphosphati-dylinositol biosynthesis on DCM. These five major targets have been found to regulate these pathways. Experiments on rats indicated that P38 MAPK was considerably elevated in the cardiac tissue from rats in the CL and NC groups compared to the HC group, and the difference was statistically significant ( P < 0.01 ). Significant differences were seen between the CL and NC groups in P38 MAPK levels, with a statistical significance level of less than 0.05. Conclusion. Celastrol may play a role in reversing energy remodeling, anti-inflammation, and oxidative stress via modulating p38 protein expression in the MAPK pathway, which have been shown in the treatment of DCM.

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Section: Introductionmentioning

confidence: 99%

Investigating Celastrol’s Anti-DCM Targets and Mechanisms via Network Pharmacology and Experimental Validation

Rui

Wan

Yang

et al. 2022

BioMed Research International

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“…[44] Multiple AD-related network pharmacology literature reported that AKT1 plays a crucial role in AD. [43][44][45][46][47] IL6, TNF, and IL1B are often used as proinflammatory markers in AD. [48,49] The remaining core targets are all playing essential roles in AD.…”

Section: Discussionmentioning

confidence: 99%

A network pharmacology approach to identify the mechanisms and molecular targets of curcumin against Alzheimer disease

Wu¹,

Zheng²,

Tang³

et al. 2022

Medicine

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Background: Alzheimer disease (AD) is a degenerative brain disease, which may lead to severe memory loss and other cognitive disorders. However, few effective drugs are available in the clinic at present. Curcumin, a major ingredient of traditional Chinese medicine, Curcuma Longa, has various pharmacological activities. Therefore, exploring clinical drugs based on the inhibition of AD pathological features is imperative. Methods: First, we utilized the HERB database and Swisstarget Prediction database to get the related targets of curcumin and intersected with the AD targets. The intersection targets were used to construct the protein-protein interaction network and performed gene ontology and kyoto encyclopedia of genes and genomes analyses. Further, we obtained targets of curcumin against AD-related tau and aβ pathology via the AlzData database. These targets were applied to perform GEO and receiver operating characteristic analyses. Finally, the reliability of the core targets was evaluated using molecular docking technology. Results: We identified 49 targets of curcumin against AD, and kyoto encyclopedia of genes and genomes pathway enrichment analysis demonstrated that the Alzheimer disease pathway (has05010) was significantly enriched. Even more, we obtained 16 targets of curcumin-related Aβ and tau pathology. Among these targets, 8 targets involved the Alzheimer disease pathway and the biological process analyses showed that positive regulation of cytokine production (GO:0001819) was significantly enriched. Bioinformatic analyses indicated that HMOX1, CSF1R, NFKB1, GSK3B, BACE1, AR, or PTGS1 expression was significantly different compared to the control group in the AD patients. Finally, molecular docking studies suggested these genes have a good binding force with curcumin. Conclusions: In this study, we identified curcumin exerted the effect of treating AD by regulating multitargets and multichannels through the method of network pharmacology.

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“…This network-based approach can explain the combination rules and network regulation effects of herbal formulas [ 21 ]. Network pharmacology strategies were successfully used to reveal mechanism of Lang Chuang Wan in treating systemic lupus erythematosus [ 22 ] and Yizhiqingxin formula on Alzheimer’s disease [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

Revealing mechanism of Caulis Sargentodoxae for the treatment of ulcerative colitis based on network pharmacology approach

Liu

Zheng

et al. 2021

Bioscience Reports

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Objective: The traditional Chinese medicine Caulis Sargentodoxae is widely used in the treatment of ulcerative colitis (UC), but the mechanism remains unknown. The present study aims to reveal its effective components, targets and pathways through network pharmacology and bioinformatics approaches. Materials and methods: Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was used to identify effective components. The ligand-based targets prediction was achieved through SwissTargetPrediction and TargetNet. UC-related targets were identified using Gene Expression Omnibus (GEO) data and DisGeNET. The common targets of disease and components were constructed and analyzed by PPI network. Lastly, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses are used to explain the functions of these common targets. Components-Targets-Pathways network was visualized and analyzed to further reveal the connection between the components and targets. Results: Eight active components and 102 key targets were identified to play an important role in UC. These targets were related to regulation of protein serine/threonine kinase activity, positive regulation of cell motility, response to molecule of bacterial origin, response to toxic substance, ERK1 and ERK2 cascade, peptidyl-tyrosine modification, inositol lipid-mediated signaling, cellular response to drug, regulation of inflammatory response and leukocyte migration. Moreover, HIF-1 signaling pathway and PI3K-Akt signaling pathway were the key targets involved in UC-related signaling pathways. Conclusion: The eight active components of Caulis Sargentodoxae mainly play a therapeutic role for UC through synergistic regulation of HIF-1 signaling pathway and PI3K-Akt signaling pathway.

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<p>Identifying the Mechanisms and Molecular Targets of Yizhiqingxin Formula on Alzheimer’s Disease: Coupling Network Pharmacology with GEO Database</p>

Cited by 6 publications

References 61 publications

Investigating Celastrol’s Anti-DCM Targets and Mechanisms via Network Pharmacology and Experimental Validation

Investigating Celastrol’s Anti-DCM Targets and Mechanisms via Network Pharmacology and Experimental Validation

A network pharmacology approach to identify the mechanisms and molecular targets of curcumin against Alzheimer disease

Revealing mechanism of Caulis Sargentodoxae for the treatment of ulcerative colitis based on network pharmacology approach

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