Ravu Ranga Rao, Jacob Melissa R, Jeffries Cynthia, Tu Ying, Khan Shabana I, Agarwal Ameeta K, Guy R Kiplin, Walker Larry A, Clark Alice M, Li Xing-Cong
Department of Chemical Biology and Therapeutics, St Jude Children's Research Hospital , Memphis, Tennessee 38105, United States.
J Nat Prod. 2015 Sep 25;78(9):2255-9. doi: 10.1021/acs.jnatprod.5b00470. Epub 2015 Sep 15.
Antifungal screening of small-molecule natural product libraries showed that a column fraction (CF) derived from the plant extract of Sagittaria latifolia was active against the fungal pathogen Cryptococcus neoformans. Dereplication analysis by liquid chromatography-mass spectrometry (LC-MS) and proton nuclear magnetic resonance spectroscopy ((1)H NMR) indicated the presence of new compounds in this CF. Subsequent fractionation of the plant extract resulted in the identification of two new isopimaradiene-type diterpenoids, 1 and 2. The structures of 1 and 2 were determined by chemical methods and spectroscopic analysis as isopimara-7,15-dien-19-ol 19-O-α-l-arabinofuranoside and isopimara-7,15-dien-19-ol 19-O-α-l-(5'-acetoxy)arabinofuranoside, respectively. Compound 1 exhibited IC50 values of 3.7 and 1.8 μg/mL, respectively, against C. neoformans and C. gattii. Its aglycone, isopimara-7,15-dien-19-ol (3), resulting from acid hydrolysis of 1, was also active against the two fungal pathogens, with IC50 values of 9.2 and 6.8 μg/mL, respectively. This study demonstrates that utilization of the combined LC-MS and (1)H NMR analytical tools is an improved chemical screening approach for hit prioritization in natural product drug discovery.
小分子天然产物文库的抗真菌筛选表明,从宽叶慈姑植物提取物中得到的一个柱层析馏分(CF)对真菌病原体新型隐球菌具有活性。通过液相色谱 - 质谱联用(LC - MS)和质子核磁共振波谱(¹H NMR)进行的去重复分析表明该CF中存在新化合物。随后对植物提取物进行分馏,鉴定出两种新的异海松二烯型二萜化合物1和2。通过化学方法和光谱分析确定1和2的结构分别为异海松 - 7,15 - 二烯 - 19 - 醇19 - O - α - L - 阿拉伯呋喃糖苷和异海松 - 7,15 - 二烯 - 19 - 醇19 - O - α - L - (5'-乙酰氧基)阿拉伯呋喃糖苷。化合物1对新型隐球菌和格特隐球菌的IC50值分别为3.7和1.8μg/mL。其苷元,即由1经酸水解得到的异海松 - 7,15 - 二烯 - 19 - 醇(3),对这两种真菌病原体也具有活性,IC50值分别为9.2和6.8μg/mL。本研究表明,联用LC - MS和¹H NMR分析工具是天然产物药物发现中用于命中优先级排序的一种改进的化学筛选方法。