• The Korea Journal of Herbology
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• v.20 no.3
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• pp.59-65
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• 2005

Objective : Daehwangmokdanpi-Tang (DWT) has been frequently used as a remedy for antiinflamation. To evaluate effect of acute pancreatitis by DWT, we examined the effects of DWT on the cholecystokinin-octapeptide (CCK)-induced acute pancreatitis (AP) in rats. Methods : Male Wistar rats weighing 200 to 250 g were divided into three groups. Normal untreated group, in treatment with DWT group; DWT was administered orally, followed by $75\;{\mu}g/kg$ CCK subcutaneously three times, after 1, 3 and 5 h. This whole procedure was repeated for 5 days. In treatment with saline group, the protocol was the same as in treatment group with DWT. Results : The author determined the pancreatic weight/body weight ratio, the levels of pancreatic HSP (heat shock protein)60 and HSP72 and the secretion of pro-inflammatory cytokines. Repeated CCK treatment resulted in the typical laboratory and morphological changes of experimentally induced pancreatitis. DWT was significantly decreased the pancreatic weight/body weight ratio in CCK-induced AP. Futhermore, The author demonstrated that DWT increased HSP60 and HSP72 compared with CCK-induced AP. Additionally, the secretion of $IL-1{\beta}\;and\;TNF-{\alpha}$ and the levels of amylase and lipase were lower than that saline. Conclusions : These results suggested that DWT may has a protective effect against CCK-induced AP.

• The Journal of Korean Medicine
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• v.45 no.2
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• pp.23-40
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• 2024

Objectives: This study utilized a network pharmacology approach to investigate the potential therapeutic effects and underlying mechanisms of Daehwangmokdanpi-tang (DHMDPT) in diabetic cognitive disorder (DCD). Methods: The compounds of DHMDPT and their target genes were obtained from the OASIS and PubChem databases. These putative target genes were compared with known targets of DCD to identify potential correlations. Using Cytoscape 3.10.2, a network was constructed to highlight key target genes. To further elucidate the underlying mechanisms, functional enrichment analysis was performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Finally, CB-DOCK was used to assess binding affinities and confirm the interactions. Results: The results showed that a total of 27 compounds and 439 related genes were identified from DHMDPT. Among these, 373 genes interacted with the DCD gene set, indicating a close relationship between the effects of DHMDPT and DCD. Through GO enrichment analysis and KEGG pathways, 'Regulation of Apoptotic Process', 'Cytokine-Mediated signaling pathway', and 'AGE-RAGE signaling pathway in diabetic complications' were identified as the functional pathways of the 18 key target genes of DHMDPT on DCD. Additionally, molecular docking was performed to assess the binding affinities of the six most highly associated key target genes of DCD with active compounds. Conclusions: Using a network pharmacology approach, which included molecular docking, DHMDPT was found to be highly relevant to DCD. This study could serve as a foundation for further research on the cognitive enhancement effects of DHMDPT in DCD.