Efficacy of Lushi Runzao decoction on ameliorating Sjogren's syndrome: a network pharmacology and experimental verification-based study.

J Tradit Chin Med

Department of Rheumatology, Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing 100053, China.

Published: August 2023

Objective: To investigate the possible mechanism underlying the effect of the Lushi Runzao decoction on Sjogren's syndrome using network pharmacology and to verify the mechanismsanimal experiments.

Methods: Available biological data on each drug in the Lushi Runzao decoction were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and the target proteins of Sjogren's syndrome were retrieved from the GeneCards database. Information regarding Sjogren's syndrome and the targets of the drugs were compared to obtain overlapping elements. This information was imported into the STRING platform to obtain a protein-protein interaction network diagram, following which a "component-target" network diagram was constructed using screened drug components and target informationCytoscape software. The database for annotation, visualization, and integrated discovery was used for Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathways analyses. Pathway information predicted by network pharmacology was verified using animal experiments.

Results: The Lushi Runzao decoction ameliorated Sjogren's syndrome mainly by influencing tumor necrosis factor as well as certain cytokines and chemokines. The decoction also influenced the interleukin-17 and advanced glycosylation end products (AGE)-receptor for AGE signaling pathways.

Conclusion: The Lushi Runzao decoction ameliorates Sjogren's syndromemultiple targets and multiple signaling pathways. Network pharmacology is useful for making a comprehensive prediction regarding the efficacy of the Lushi Runzao decoction, and this information may be helpful in clinical research.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320455PMC
http://dx.doi.org/10.19852/j.cnki.jtcm.2023.04.004DOI Listing

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