Urine accurately reflects circulating isoflavonoids and ascertains compliance during soy intervention.

Urine accurately reflects circulating isoflavonoids and ascertains compliance during soy intervention.
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DOI:
10.1158/1055-9965.epi-10-0116
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发表时间:
2010-07
期刊:
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子:
--
通讯作者:
Hodis HN
Hodis HN
中科院分区:
其他
文献类型:
--
作者:
Franke AA;Hebshi SM;Pagano I;Kono N;Mack WJ;Hodis HN

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异黄酮类化合物(IFL)可以预防包括癌症在内的慢性疾病。传统上,IFL暴露是从血浆中测量的,但尿液的可靠性尚不确定。我们评估了过夜尿(OU)或现场尿(SU)中的IFL排泄量是否可靠地反映了血浆(PL)中的IFL,以及三种矩阵在确定大豆摄入依从性方面的有用性。在一项随机、双盲、安慰剂对照的大豆干预试验中,350名绝经后妇女在2.5年期间每隔6个月和基线收集的OU、SU和PL中的IFL(大豆苷元、染料木素、黄豆黄素、马酚、O-脱甲基姜黄素、二氢大豆苷元、二氢大豆异黄素)用LC MS进行分析。所有三个矩阵之间的高组内相关性(中位数0.94)和受试者之间高的皮尔逊相关性(中位数ROU-PL=0.80;中位数RSU-PL=0.80;中位数ROU-SU=0.92)允许开发方程来预测三个矩阵中的任何一个的IFL值。根据随机选择的87%的可用数据建立的方程是有效的,因为在方程生成的数据和测量的IFL值之间的剩余13%的数据发现高度相关(中位数ROU-PL=0.86;中位数RSU-PL=0.78;中位数ROU-SU=0.84);OU-PL、SU-PL和OU-SU的绝对IFL的中位数差异分别为8.8 nM、10.3 nM和0.28 nmol/mg。在研究结束时,安慰剂组和大豆干预组的三个矩阵均显示出极显著的IFL值差异(P<0.0001),干预组的IFL值与计数的大豆剂量之间存在高度显著的相关性。OU和SU IFL排泄量能准确反映健康绝经后妇女循环PL IFL水平。非侵入性收集的尿液可用于可靠地确定全身IFL暴露和大豆摄入依从性。
Isoflavonoids (IFLs) may protect against chronic diseases including cancer. IFL exposure is traditionally measured from plasma but the reliability of urine is uncertain. We assessed whether IFL excretion in overnight urine (OU) or spot urine (SU) reliably reflects IFLs in plasma (PL) and the usefulness of the three matrices to determine soy intake compliance. In a randomized, double-blind, placebo-controlled soy intervention trial with 350 postmenopausal women, IFLs (daidzein, genistein, glycitein, equol, O-desmethylangolensin, dihydrodaidzein, dihydrogenistein) were analyzed by LCMS in OU, SU, and PL collected at baseline and every 6 months over 2.5 years. High between-subjects intraclass correlations between all three matrices (median 0.94) and high between-subjects Pearson correlations (median rOU-PL=0.80; median rSU-PL=0.80; median rOU-SU=0.92) allowed the development of equations to predict IFL values from any of the three matrices. Equations developed from a randomly selected 87% of all available data were valid as high correlations were found on the residual 13% of data between equation-generated and measured IFL values (median rOU-PL=0.86; median rSU-PL=0.78; median rOU-SU=0.84); median absolute IFL differences for OU-PL, SU-PL, and OU-SU were 8.8 nM, 10.3 nM and 0.28 nmol/mg, respectively. All three matrices showed highly significant IFL differences between the placebo and soy intervention group at study end (P<0.0001) and highly significant correlations between IFL values and counted soy doses in the intervention group. OU and SU IFL excretion reflect circulating PL IFL levels in healthy postmenopausal women accurately. Noninvasively-collected urine can be used to reliably determine systemic IFL exposure and soy intake compliance.