Network pharmacology based analysis of Astragalus propinquus components for the treatment of rheumatoid arthritis and diabetes

Sivakumar, Thasma Raman; Surendhiran, Duraiarasan; Chen, Keping; Lv, Peng; Vinothkanna, Annadurai; Prathiviraj, R.; Sethupathy, Sivasamy; Sirajunnisa, Abdul Razack

doi:10.1016/j.sajb.2021.01.034

Cited by 13 publications

(8 citation statements)

References 45 publications

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“…The 38 targets were introduced into David database for GO enrichment analysis (FDR ≤ 0.5), so as to systematically study the biological functions and related molecular processes that SD in treating allergy (Sivakumar et al. 2021 ). The results are shown in Table 3 that we obtained 194 GO–BP analysis results, 28 results of GO–CC analysis and 42 results of GO–MF analysis.…”

Section: Resultsmentioning

confidence: 99%

Network pharmacology-based analysis of the mechanism ofSaposhnikovia divaricatafor the treatment of type I allergy

Wang

et al. 2022

Pharmaceutical Biology

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Context Saposhnikovia divaricata (Turcz.) Schischk (Apiaceae) (SD) has various pharmacological activities, but its effects on type I allergy (TIA) have not been comprehensively studied. Objective This study evaluates the treatment and molecular mechanisms of SD against TIA. Materials and methods The effective components and action targets of SD were screened using TCMSP database, and allergy-related targets of SD were predicted using GeneCards and OMIM database. The obtained target intersections were imported into David database for GO analysis, and used R software to perform KEGG analysis. The RBL-2H3 cells sensitised by DNP-IgE/DNP-BSA were treated with different concentrations of SD (root decoction, 0.5, 1, and 2 mg/mL), prim- O -glucosylcimifugin (POG, 10, 40, and 80 μg/mL) and the positive control drug–ketotifen fumarate (KF, 30 μM) for 12 h, then subjected to cell degranulation and qPCR analysis. Results Eighteen active compounds of SD and 38 intersection targets were obtained: TIA-related signal pathways mainly include calcium signal pathway, PI3K–Akt signal pathway and MAPK signal pathway. Taking the β-Hex release rate of the model group as the base, the release rate of SD and POG in high dose groups were 43.79% and 57.01%, respectively, which were significantly lower than model group ( p < 0.01), and significantly lower than KF group (63.83%, p < 0.01, p < 0.05). SD and POG could down-regulate the expression of related proteins in the Lyn/Syk, PI3K/AKT and MAPK signalling pathways. Discussion and conclusion Saposhnikovia divaricata could inhibit IgE-induced degranulation of mast cells, providing a scientific basis for further research and clinical applications of SD in TIA treatment.

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Section: Resultsmentioning

confidence: 99%

Network pharmacology-based analysis of the mechanism ofSaposhnikovia divaricatafor the treatment of type I allergy

Wang

et al. 2022

Pharmaceutical Biology

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“…The network consists of 18 nodes and 82 edges, as represented in Supplementary Table S6, S7. Interestingly, we identified the top three hub genes that control an entire PPIN [ [35] , [36] , [37] , [38] , [39] , [40] , [41] ] in the biological and molecular mechanisms of the ERBB2 signalling pathway. Such genes are erbB-2, EGFR, and pro-epidermal growth factor (GRB2), as depicted in ( Fig.…”

Section: Antioxidant Activitymentioning

confidence: 99%

Secondary metabolite profiling using HR-LCMS, antioxidant and anticancer activity of Bacillus cereus PSMS6 methanolic extract: In silico and in vitro study

TS,

et al. 2024

Biotechnology Reports

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“…Hub genes are the essential genes that control and express all associated sub-proteins to perform their molecular and biological functions whenever required [25,38]. Three hub genes from the top-hit ranking are associated with the target diseased gene network.…”

Section: Identification Of Hub Genes Associated With Targeted Diseasesmentioning

confidence: 99%

“…Further health implications based on phytochemicals of plant origin were directed for advantageous applications in the arena of computational informatics [23]. In recent times, the network pharmacology approach has been used to examine the underlying mechanisms of TIM and TCM in order to effectively investigate the therapeutic efficacy using curated biological databases [24,25]. In view of these, the current study is aimed to investigate the phytochemicals from an Indian fermented traditional medicine, Chandanasava, to treat chronic kidney and cardiovascular diseases by network pharmacology-based approach.…”

Section: Introductionmentioning

confidence: 99%

GC–MS and Network Pharmacology Analysis of the Ayurvedic Fermented Medicine, Chandanasava, Against Chronic Kidney and Cardiovascular Diseases

Vinothkanna

Prathiviraj

Sivakumar

et al. 2022

Appl Biochem Biotechnol

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Chandanasava is an Ayurvedic polyherbal fermented traditional medicine (FTM) used by traditional practitioners for millennia . Nevertheless, the mode of action and functional targets are still unknown. The current study includes a pharmacological network analysis to identify the Chandanasava compounds interacting with target proteins involved in chronic kidney disease (CKD) and cardiovascular disease (CVD). Sixty-one Chandanasava phytochemicals were obtained by GC–MS and screened using the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP). The disease target genes were obtained from DisGeNET and GeneCards databases. Forty-five phytocompounds and 135 potential targets were screened for CKD and CVD target proteins and protein interaction networks were constructed. The pharmacological network was deciphered employing target proteins involved in the mechanical action of Chandanasava . The results indicated that 10 bioactive compounds exhibited higher binding affinity patterns with the screened 42 CKD and CVD target proteins. Gene Ontology and KEGG analysis revealed target pathways involved in CKD and CVD, which were further explored by detailed analysis and network-coupled drug profile screening. The molecular docking results showed piperine and melatonin as effective inhibitors/regulators of the hub genes of CKD and CVD. The current study establishing authentic bioactive compounds in FTM is based on deeper insights into recognized Ayurvedic medicines. Graphical Abstract Representing the workflow of the network pharmacological analysis Supplementary Information The online version contains supplementary material available at 10.1007/s12010-022-04242-7.

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Network pharmacology based analysis of Astragalus propinquus components for the treatment of rheumatoid arthritis and diabetes

Cited by 13 publications

References 45 publications

Network pharmacology-based analysis of the mechanism ofSaposhnikovia divaricatafor the treatment of type I allergy

Network pharmacology-based analysis of the mechanism ofSaposhnikovia divaricatafor the treatment of type I allergy

Secondary metabolite profiling using HR-LCMS, antioxidant and anticancer activity of Bacillus cereus PSMS6 methanolic extract: In silico and in vitro study

GC–MS and Network Pharmacology Analysis of the Ayurvedic Fermented Medicine, Chandanasava, Against Chronic Kidney and Cardiovascular Diseases

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