Nutrition and Food Science Department, XaRTA INSA, INGENIO-CONSOLIDER Program, Fun-C-Food CSD2007-063, Pharmacy School, University of Barcelona, Barcelona, Spain.
Anal Chim Acta. 2011 Oct 17;704(1-2):110-5. doi: 10.1016/j.aca.2011.07.035. Epub 2011 Jul 29.
Polyphenols have beneficial effects on several chronic diseases but assessing polyphenols intake from self-reported dietary questionnaires tends to be inaccurate and not very reliable. A promising alternative is to use urinary excretion of polyphenols as a proxy measure of intake. The best method to assess urinary excretion is to collect 24-h urine. However, since collecting 24-h urine method is expensive, time consuming and may be difficult to implement in large population-based studies, measures obtained from spot urine normalized by creatinine are commonly used. The purpose of the study was to evaluate the correlation between polyphenols dietary intake and total urinary polyphenol excretion (TPE), expressed by both 24-h volume and urinary creatinine normalization in 928 participants from the InCHIANTI study. Dietary intake data were collected using a validated food frequency questionnaire. Urinary TPE was analyzed by Folin-Ciocalteau assay. Both urinary TPE expression models were statistically correlated (r=0.580), and the partial correlation coefficient improved (pr=0.722) after adjusting for the variables that modify the urinary creatinine excretion (i.e. gender, age, BMI, physical activity and renal function). In crude models, polyphenol intake was associated with TPE corrected by 24-h volume (r=0.211; P<0.001), but not with creatinine normalization (r=0.014; P=0.692). However, urinary TPE expressed by creatinine correction was significantly correlated with dietary polyphenols after adjusting for covariates (pr=0.113; P=0.002). We conclude that urinary TPE expressed by 24-h volume is a better biomarker of polyphenol dietary intake than by urinary creatinine normalization. After covariate adjustment, both can be used for studying the relationships between polyphenol intake and health in large-scale epidemiological studies.
多酚对多种慢性疾病有有益影响,但通过自我报告的饮食问卷评估多酚摄入量往往不准确且不太可靠。一种很有前途的替代方法是使用尿液中多酚的排泄来作为摄入量的替代指标。评估尿液排泄的最佳方法是收集 24 小时尿液。然而,由于收集 24 小时尿液的方法昂贵、耗时,并且在大型基于人群的研究中可能难以实施,因此通常使用通过肌酐标准化的单次尿液测量值。本研究的目的是评估 928 名 INCHIANTI 研究参与者中,通过 24 小时尿液量和尿液肌酐标准化来表示的多酚饮食摄入量与总尿多酚排泄(TPE)之间的相关性。饮食摄入量数据通过经过验证的食物频率问卷收集。使用 Folin-Ciocalteau 法分析尿 TPE。两种尿 TPE 表达模型均具有统计学相关性(r=0.580),并且在调整改变尿液肌酐排泄的变量(即性别、年龄、BMI、体力活动和肾功能)后,偏相关系数得到改善(pr=0.722)。在未校正模型中,多酚摄入量与通过 24 小时体积校正的 TPE 相关(r=0.211;P<0.001),但与肌酐校正无关(r=0.014;P=0.692)。然而,在调整协变量后,用肌酐校正表示的尿 TPE 与饮食多酚呈显著相关(pr=0.113;P=0.002)。我们得出结论,通过 24 小时体积表示的尿 TPE 是多酚饮食摄入量的更好生物标志物,而通过尿液肌酐校正则不然。在调整协变量后,两者都可以用于在大规模流行病学研究中研究多酚摄入量与健康之间的关系。