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来自Makino变种的化学成分及其体外和计算机模拟研究通过抑制ERK 1/2 MAPK信号通路靶向抗炎

Chemical Constituents from var. Makino with Their In Vitro and In Silico Studies Target Anti-Inflammation by Suppressing ERK 1/2 MAPK Signaling.

作者信息

Le Ducdat, Dang Thinhulinh, Truong Vinhquang, Dinh Thientam, Yu Soojung, Lee Seok-Geun, Lee Mina

机构信息

College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, 255 Jungangno, Suncheon 57922, Republic of Korea.

Department of Natural Cosmetics Science and Smart Beautytech Research Institute, Sunchon National University, 255 Jungangno, Suncheon 57922, Republic of Korea.

出版信息

Int J Mol Sci. 2025 Aug 29;26(17):8421. doi: 10.3390/ijms26178421.

Abstract

var. Makino is a traditional medicine for treating various diseases, including inflammation. In this study, we discovered the biological features of this plant by assessing antioxidative and anti-inflammatory activities. The GNPS-FBMN approach and in vitro assays guided the identification of active ingredients. As a result, one new compound and 17 other compounds were separated and identified. The structure of the new compound was established by CD spectrum and hydrolysis, followed by HPLC analysis. These compounds demonstrated antioxidative and anti-inflammatory activities. Western blotting clarified the active compound by inhibiting inflammation through COX-2 and iNOS enzymes and blocking the ERK 1/2 MAPK signaling. In silico approaches supported the binding affinity and dynamic features of the established complexes' target inflammation. Our finding supports evidence from both experimental and in silico approaches that fractions and its constituents may be employed as potential therapeutic phytochemicals for treating inflammatory bowel diseases.

摘要

牧野变种是一种用于治疗包括炎症在内的各种疾病的传统药物。在本研究中,我们通过评估抗氧化和抗炎活性发现了这种植物的生物学特性。GNPS-FBMN方法和体外试验指导了活性成分的鉴定。结果,分离并鉴定出一种新化合物和其他17种化合物。通过圆二色谱和水解,随后进行高效液相色谱分析确定了新化合物的结构。这些化合物表现出抗氧化和抗炎活性。蛋白质免疫印迹法通过抑制COX-2和iNOS酶的炎症反应并阻断ERK 1/2 MAPK信号通路来阐明活性化合物。计算机模拟方法支持所建立复合物的目标炎症的结合亲和力和动态特征。我们的发现支持了来自实验和计算机模拟方法的证据,即提取物及其成分可作为治疗炎症性肠病的潜在治疗性植物化学物质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/834d/12428955/222e07c4be08/ijms-26-08421-g001.jpg

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