Abstract:
This study aimed to determine the optimal combination of three anti-inflammatory materials [i.e., Cervus nippon Temminck (CT), Angelica gigas Nakai (AN), and Rehmannia glutinosa (RG)] for the strongest anti-inflammatory potential. Eighteen combinations of the three materials were tested in LPS-stimulated RAW264.7 cells via assessing nitric oxide (NO). The best combination from in vitro studies was administered to LPS-treated C57BL/6J mice for five days. Subsequently, plasma metabolites were profiled by bioinformatics analyses and validations. As results, 2, 20, and 50 µg/mL of CT, AN, and RG (TM) were the most effective combination suppressing inflammation. In mice, TM mitigated hepatic inflammatory markers. Similarly, the metabolomics indicated that TM may suppress NF-κB signaling pathway, thereby alleviating hepatic inflammation. TM also decreased systemic and hepatic pro-inflammatory cytokines. Collectively, we found the optimal combination of TM for mitigating inflammation; thus further studies on safety, mechanisms, and clinical models are warranted for human applications.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s10068-023-01476-x.
摘要:
本研究旨在确定三种抗炎材料的最佳组合[即,CervusnipponTemminck(CT),当归gigasNakai(AN),和地黄(RG)]具有最强的抗炎潜力。通过评估一氧化氮(NO),在LPS刺激的RAW264.7细胞中测试了三种材料的18种组合。来自体外研究的最佳组合给予LPS处理的C57BL/6J小鼠5天。随后,通过生物信息学分析和验证对血浆代谢物进行了分析.作为结果,2、20和50µg/mL的CT,AN,和RG(TM)是抑制炎症最有效的组合。在老鼠身上,TM减轻肝脏炎症标志物。同样,代谢组学表明TM可能抑制NF-κB信号通路,从而减轻肝脏炎症。TM还降低全身性和肝脏促炎细胞因子。总的来说,我们发现了缓解炎症的TM的最佳组合;因此,对安全性的进一步研究,机制,和临床模型对于人类应用是有保证的。
■在线版本包含补充材料,可在10.1007/s10068-023-01476-x获得。