Qualitative analysis of the chemical constituents of Lonicera japonica and its tetraploid cultivar Jiufengyihao

In the present study, we, for the first time, developed an UPLC-IT-TOF/MS method to compare the chemical constituents of the flower buds of Lonicera japonica Thunb. （Jinyinhua, JYH, in Chinese） and its tetraploid cultivar Jiufengyihao （JFYH）. The samples were separated on a C18 ultra-column （100 mm×2.1 ram, 1.8 μm） eluted with a mixture of acetonitrile and 0.1% formic acid using a gradient program. Based on the accurate masses, fragmental MS2 ions and fragmentation pathway, we unambiguously affirmed or tentatively identified 30 compounds, including 11 phenolic acids, 10 iridoid glycosides, 8 fiavonoids and 1 saponin, from JYH and JFYH. Among them, all compounds were detected in Lonicerajaponica, but only 21 compounds were detected in JFYH. In addition, the relative contents of the 21 common chemical constituents were also different in JYH and JFYH, suggesting an obvious chemical difference between JYH and JFYH.

组织因子抑制剂高通量筛选模型的建立及DT-13抗肿瘤作用的研究(英文)

目的:建立新型的细胞水平组织因子抑制剂高通量药物筛选模型, 对本中心库存天然化合物进行筛选, 得到对TF有较好抑制作用的天然化合物, 用于进一步评估抗肿瘤转移药物。方法:利用发色底物法, 建立细胞水平TF抑制剂高通量筛选模型, 用该细胞株进行抗肿瘤转移药物筛选。结果:选用人乳腺癌细胞MDA-MB-435成功建立了快速稳定、灵敏度高、操作简便的抗肿瘤转移药物筛选模型。筛选1260种化合物, 经过初筛、复筛和体内评价发现短葶山麦冬皂苷-C(DT-13)对TF的抑制作用比较明显, 并具有一定的抗肿瘤转移作用。结论:通过建立的TF抑制剂筛选模型, 对库存天然产物进行筛选, 得到具有抗肿瘤转移的天然产物DT-13。