2023
DOI: 10.1016/j.jep.2023.116147
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Potential anti-gout properties of Wuwei Shexiang pills based on network pharmacology and pharmacological verification

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Cited by 7 publications
(5 citation statements)
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“…To further reveal the mechanism of interactions between intersectional target proteins, overlapping genes corresponding to each disease were identified and imported into the STRING website for the construction of PPI networks (Figures 4A, 5A, 6A, and 7A) and network analysis. Based on the degree value, 24,28,31 for the treatment of CG with CSF, the targets with the top 10 connectivity ranks were PIK3CA, STAT3, SRC, MAPK1, TP53, MAPK8, AKT1, VEGFA, TNF, and PTGS2, indicating that they played a key role in the overall network. Similarly, for the treatment of FD, the top 10 targets were PIK3CA, PIK3R1, TP53, STAT3, AKT1, SRC, VEGFA, PTGS2, ESR1, and TNF; the top 10 targets for the treatment of PU were STAT3, PIK3CA, MAPK1, EGFR, VEGFA, HRAS, TP53, AKT1, TNF, and PTGS2; and those for depression were MAKP1, STAT3, HSP90AA1, ESR1, AKT1, PTGS2, APP, VEGFA, MAPK14, and ESR1.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To further reveal the mechanism of interactions between intersectional target proteins, overlapping genes corresponding to each disease were identified and imported into the STRING website for the construction of PPI networks (Figures 4A, 5A, 6A, and 7A) and network analysis. Based on the degree value, 24,28,31 for the treatment of CG with CSF, the targets with the top 10 connectivity ranks were PIK3CA, STAT3, SRC, MAPK1, TP53, MAPK8, AKT1, VEGFA, TNF, and PTGS2, indicating that they played a key role in the overall network. Similarly, for the treatment of FD, the top 10 targets were PIK3CA, PIK3R1, TP53, STAT3, AKT1, SRC, VEGFA, PTGS2, ESR1, and TNF; the top 10 targets for the treatment of PU were STAT3, PIK3CA, MAPK1, EGFR, VEGFA, HRAS, TP53, AKT1, TNF, and PTGS2; and those for depression were MAKP1, STAT3, HSP90AA1, ESR1, AKT1, PTGS2, APP, VEGFA, MAPK14, and ESR1.…”
Section: Resultsmentioning
confidence: 99%
“…To further reveal the mechanism of interactions between intersectional target proteins, overlapping genes corresponding to each disease were identified and imported into the STRING website for the construction of PPI networks (Figures 4A, 5A, 6A, and 7A) and network analysis. Based on the degree value, 24,28,31…”
Section: Identification Of Absorbable Compounds In Csfmentioning
confidence: 99%
“…Wuwei-Shexiang pills, formulated with Acorus calamus L., Moschus berezovskii Flerov, Aconitum carmichaelii Debeaux., Aucklandia lappa (Decne) Decne., and Terminalia chebula Retz., exhibits the ability to alleviate ankle joint swelling and diminish TNF-α and IL-1β concentrations within MSU-induced mice air pouch lavage fluid. This is accomplished by restraining the levels of p-p38/p38 through the modulation of the MAPK signaling cascade, thus effectively mitigating gout-related inflammation ( Bai et al, 2023 ).…”
Section: Signal Pathways Of Tcm Modulating Gout Pathological Progressionmentioning
confidence: 99%
“…Therefore, clarifying the changing characteristics of metabolites in GN and treating metabolic disorders may be an important objective. Metabonomics is increasingly used to diagnose diseases, investigate the pathogenesis of diseases, identify new therapeutic targets, personalize drug therapy and examine the phenotypic differences of responses to small molecules across individuals (Bai et al, 2023). In recent years, network pharmacology has been widely utilized in traditional Chinese medicine research to identify the treatment mechanisms for gout and its complications (McReynolds et al, 2019; Xu et al, 2022).…”
Section: Introductionmentioning
confidence: 99%