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不同大豆品种水解产物中抑制白血病细胞的生物活性成分中的β-伴大豆球蛋白。

beta-Conglycinins among sources of bioactives in hydrolysates of different soybean varieties that inhibit leukemia cells in vitro.

作者信息

Wang Wenyi, Bringe Neal A, Berhow Mark A, Gonzalez de Mejia Elvira

机构信息

Department of Food Science and Human Nutrititon, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL 61801, USA.

出版信息

J Agric Food Chem. 2008 Jun 11;56(11):4012-20. doi: 10.1021/jf8002009. Epub 2008 May 13.

DOI:10.1021/jf8002009
PMID:18473471
Abstract

Soybean is a complex matrix containing several potentially bioactive components. The objective was to develop a statistical model to predict the in vitro anticancer potential of soybean varieties based on the correlation between protein composition and bioactive components after simulated gastrointestinal enzyme digestion with their effect on leukemia mouse cells. The IC 50 values of the hydrolysates of soy genotypes (NB1-NB7) on L1210 leukemia cells ranged from 3.5 to 6.2 mg/mL. Depending on genotype, each gram of soy hydrolysates contained 2.7-6.6 micromol of total daidzein, 3.0-4.7 micromol of total genistein, 0.5-1.3 micromol of glycitein, 2.1-2.8 micromol of total saponins, 0.1-0.2 micromol of lunasin, and 0.1-0.6 micromol of Bowman-Birk inhibitor (BBI). The IC 50 values calculated from a partial least-squares (PLS) analysis model correlated well with experimental data ( R (2) = 0.99). Isoflavones and beta-conglycinin positively contributed to the cytotoxicity of soy on L1210 leukemia cells. Lunasin and BBI were potent L1210 cell inhibitors (IC 50 = 13.9 and 22.5 microM, respectively), but made modest contributions to the activity of defatted soy flour hydrolysates due to their relatively low concentrations. In conclusion, the data demonstrated that beta-conglycinins are among the major protein components that inhibit leukemia cell growth in vitro. Furthermore, it was feasible to differentiate soybean varieties on the basis of the biological effect of their components using a statistical model and a cell-based assay.

摘要

大豆是一种含有多种潜在生物活性成分的复杂基质。目的是建立一个统计模型,基于蛋白质组成与生物活性成分之间的相关性,以及模拟胃肠道酶消化后它们对白血病小鼠细胞的影响,来预测大豆品种的体外抗癌潜力。大豆基因型(NB1-NB7)水解产物对L1210白血病细胞的IC50值范围为3.5至6.2毫克/毫升。根据基因型不同,每克大豆水解产物含有2.7 - 6.6微摩尔的大豆苷元总量、3.0 - 4.7微摩尔的染料木黄酮总量、0.5 - 1.3微摩尔的黄豆黄素、2.1 - 2.8微摩尔的总皂苷、0.1 - 0.2微摩尔的lunasin以及0.1 - 0.6微摩尔的鲍曼-伯克抑制剂(BBI)。通过偏最小二乘法(PLS)分析模型计算得到的IC50值与实验数据相关性良好(R(2)=0.99)。异黄酮和β-伴大豆球蛋白对大豆对L1210白血病细胞的细胞毒性有正向贡献。Lunasin和BBI是有效的L1210细胞抑制剂(IC50分别为13.9和22.5微摩尔),但由于它们相对较低的浓度,对脱脂大豆粉水解产物的活性贡献不大。总之,数据表明β-伴大豆球蛋白是体外抑制白血病细胞生长的主要蛋白质成分之一。此外,利用统计模型和基于细胞的检测方法,根据大豆成分的生物学效应来区分大豆品种是可行的。

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