Synergistic effect and compatibility structure of active anti-inflammatory ingredients from Lamiophlomis rotata based on network pharmacology and component structure theory

• Published in: Zhongguo zhongyao zazhi Vol. 49; no. 13; p. 3505
• Main Authors: Kang, Dian-Dian, Zhang, Rong-Rong, Zhan, Hu-Po, Sun, Jie-Yu, Jiang, Gui-Hua, Jiang, Yun-Bin
• Format: Journal Article
• Language: Chinese
• Published: China 01.07.2024
• Subjects: Animals; Anti-Inflammatory Agents - chemistry; Anti-Inflammatory Agents - pharmacology; Drug Synergism; Drugs, Chinese Herbal - chemistry; Drugs, Chinese Herbal - pharmacology; Interleukin-6 - genetics; Interleukin-6 - immunology; Interleukin-6 - metabolism; Lamiaceae - chemistry; Male; Mice; Network Pharmacology; Tumor Necrosis Factor-alpha - immunology; Tumor Necrosis Factor-alpha - metabolism; anti-inflammatory; uniform design; active ingredients; compatibility ratio; network pharmacology; Lamiophlomis rotata
• ISSN: 1001-5302
• DOI: 10.19540/j.cnki.cjcmm.20240327.301

The synergistic effect and compatibility structure of active anti-inflammatory ingredients(iridoid glycosides: shanzhiside methylester and 8-O-acetylshanzhiside methyl ester, flavonoid glycoside: luteoloside, and phenylethanoid glycoside: forsythoside B) from Lamiophlomis rotata were explored based on network pharmacology and component structure theory. In network pharmacology, CTD, SwisseTargetPrediction, and PharmMapper databases were used to collect and screen the targets of all active ingredients. The inflammation-related targets were obtained from CTD and GeneCards databases. The core targets were obtained by Venny 2.1.0, STRING, and Cytoscape 3.9.1. Core targets were annotated by the GO function and enriched by the KEGG pathway based on the DAVID database. In terms of component structure, based on a uniform design method and xylene-induced ear swelling model in mice, tumor necrosis factor-α and interleukin-6 were taken as the dependent variables, and the compatibility relationship among anti-inflammator