Kim Gyoung-Deuck, Lee Jin Young, Auh Joong-Hyuck
Department of Food Science and Technology, Chung-Ang University, Anseong 17546, Korea.
Foods. 2019 Feb 1;8(2):47. doi: 10.3390/foods8020047.
The metabolomic screening of potential anti-inflammatory compounds in the leaves of was performed by using LC-MS/MS. Ethanol extracts were prepared, and the anti-inflammatory effects were investigated based on nitric oxide (NO) synthesis and inducible nitric oxide synthase expression in lipopolysaccharide-induced RAW 264.7 macrophages. The 75% ethanol extract showed the highest inhibitory effect on nitric oxide (NO) production, and it was further separated by in vitro bioassay-guided fractionation using preparative LC with reversed-phase column separation. Through multiple steps of fractionation, sub-fraction 1-3 was finally purified, and caffeic acid derivatives, such as caffeoylthreonic acid and danshensu (salvianic acid A), were successfully identified as key anti-inflammatory compounds by LC-MS/MS and metabolomics analyses. This is the first study identifying anti-inflammatory compounds in () leaves through bioassay-guided fractionation and metabolomics screening. Results of this study would be useful for the application of leaves as a nutraceutical.
采用液相色谱-串联质谱法（LC-MS/MS）对[植物名称]叶片中的潜在抗炎化合物进行代谢组学筛选。制备了乙醇提取物，并基于脂多糖诱导的RAW 264.7巨噬细胞中一氧化氮（NO）的合成及诱导型一氧化氮合酶的表达来研究其抗炎作用。75%乙醇提取物对一氧化氮（NO）的产生显示出最高抑制作用，并通过使用反相柱分离的制备型液相色谱进行体外生物测定导向分级分离进一步分离。经过多步分级分离，最终纯化得到亚组分1-3，通过LC-MS/MS和代谢组学分析成功鉴定出咖啡酸衍生物，如咖啡酰苏糖酸和丹参素（丹酚酸A）为关键抗炎化合物。这是首次通过生物测定导向分级分离和代谢组学筛选鉴定[植物名称]叶片中的抗炎化合物的研究。本研究结果将有助于[植物名称]叶片作为营养保健品的应用。
