Urinary biomarkers of meat consumption.
Urinary biomarkers of meat consumption.
复制标题
DOI：
10.1158/1055-9965.epi-11-0048
复制
发表时间：
2011-06
期刊：
影响因子：
--
通讯作者：
Sinha R
中科院分区：
文献类型：
--
作者：
Cross AJ;Major JM;Sinha R
在使用自我报告膳食评估方法的观察性研究中，肉类摄入量与慢性疾病（包括糖尿病，心脏病和几种不同癌症）的发病率和死亡率呈正相关;然而，这些膳食评估方法会受到测量误差的影响。避免这种错误的一种方法是使用饮食摄入的生物标志物，但目前没有公认的肉类摄入的生物标志物。我们研究了四种分析物（肌酐，牛磺酸，1-甲基组氨酸和3-甲基组氨酸），特别是在肉类和尿液中排泄。作为两项随机交叉喂养研究的一部分，从17名接受控制饮食的个体中收集24小时尿液样本，这些饮食含有不同水平的肉类：素食（0 g/天），低红肉（60 g/天），中等红肉（120 g/天）和高红肉（420 g/天）。当与低红肉饮食或素食饮食相比时，在高红肉饮食15天后收集的尿液样本中，所有四种分析物的尿液水平均显著较高（P<0.0001）。只有尿1-甲基组氨酸和3-甲基组氨酸在每种饮食类型中有统计学显著差异，随着饮食中肉类含量的增加而增加（1-甲基组氨酸P<0.01，3-甲基组氨酸P<0.05）。此外，尿中1-甲基组氨酸和3-甲基组氨酸的排泄量随肉类摄入量的增加而增加。尿1-甲基组氨酸和3-甲基组氨酸可能是肉类摄入量的良好生物标志物。为了确定红肉对癌症风险的公共健康影响，生物标志物对于估计真实摄入量至关重要;这些潜在的生物标志物应在自由生活人群中进一步研究。
Meat intake has been positively associated with incidence and mortality of chronic diseases, including diabetes, heart disease, and several different cancers, in observational studies using self-report methods of dietary assessment; however, these dietary assessment methods are subject to measurement error. One method to circumvent such errors is the use of biomarkers of dietary intake, but currently there are no accepted biomarkers for meat intake. We investigated four analytes (creatinine, taurine, 1-methylhistidine, and 3-methylhistidine) specifically found in meat and excreted in urine. Twenty-four hour urine samples were collected from 17 individuals on controlled diets containing varying levels of meats: vegetarian (0 g/day), low red meat (60 g/day), medium red meat (120g/day), and high red meat (420 g/day), as part of two randomized cross-over feeding studies. When compared to the low red meat diet or the vegetarian diet, the urinary levels of all four analytes were significantly higher in urine samples collected after 15 days of a high red meat diet (P<0.0001). Only urinary 1-methylhistidine and 3-methylhistidine were statistically significantly different for every diet type, increasing as the amount of meat in the diet increased (P<0.01 for 1-methylhistidine and P<0.05 for 3-methylhistidine). Furthermore, urinary excretion of 1-methylhistidine and 3-methylhistidine elevated with increasing meat intake in every individual. Urinary 1-methylhistidine and 3-methylhistidine may be good biomarkers of meat intake. To determine the public health impact of red meat on cancer risk, biomarkers are crucial to estimate true intake; these potential biomarkers should be further investigated in free-living populations.