Mennen Louise I, Sapinho David, Ito Hideyuki, Bertrais Sandrine, Galan Pilar, Hercberg Serge, Scalbert Augustin
UMR INSERM U557/INRA/CNAM, ISTNA-CNAM, 5 rue du Vertbois, 75003 Paris, France.
Br J Nutr. 2006 Jul;96(1):191-8. doi: 10.1079/bjn20061808.
Estimation of dietary intake of polyphenols is difficult, due to limited availability of food composition data and bias inherent to dietary assessment methods. The aim of the present study was to evaluate the associations between the intake of polyphenol-rich foods and the urinary excretion of several phenolic compounds and therefore explore whether these phenolic compounds could be used as a biomarker of intake. Fifty-three participants of the SU.VI.MAX study (a randomised primary-prevention trial evaluating the effect of daily antioxidant supplementation on chronic diseases) collected a 24 h urine and a spot urine sample and filled a dietary record during a 2 d period. Thirteen polyphenols and metabolites, chlorogenic acid, caffeic acid, m-coumaric acid, gallic acid, 4-O-methylgallic acid, quercetin, isorhamnetin, kaempferol, hesperetin, naringenin, phloretin, enterolactone and enterodiol, were measured using HPLC-electrospray ionisation-MS-MS. In spot samples apple consumption was positively correlated to phloretin, grapefruit consumption to naringenin, orange to hesperetin, citrus fruit consumption to both naringenin and hesperetin, with r coefficients ranging from 0.31 to 0.57 (P < 0.05). The combination of fruits and/or fruit juices was positively correlated to gallic acid and 4-O-methylgallic acid, isorhamnetin, kaempferol, hesperetin, naringenin and phloretin (r 0.24-0.44, P < 0.05). Coffee consumption was positively correlated to caffeic and chlorogenic acids (r 0.29 and 0.63, P < 0.05 respectively). Black tea and wine consumption were positively correlated with gallic and 4-O-methylgallic acids (r 0.37-0.54, P < 0.001). The present results suggest that several polyphenols measured in a spot urine sample can be used as biomarkers of polyphenol-rich food intake.
由于食物成分数据有限以及膳食评估方法固有的偏差,多酚类物质的膳食摄入量难以估算。本研究旨在评估富含多酚食物的摄入量与几种酚类化合物尿排泄量之间的关联,从而探究这些酚类化合物是否可作为摄入量的生物标志物。SU.VI.MAX研究(一项评估每日抗氧化剂补充剂对慢性病影响的随机一级预防试验)的53名参与者收集了24小时尿液和随机点尿样本,并在两天内填写了饮食记录。使用高效液相色谱-电喷雾电离-串联质谱法测定了13种多酚及其代谢产物,包括绿原酸、咖啡酸、间香豆酸、没食子酸、4-O-甲基没食子酸、槲皮素、异鼠李素、山奈酚、橙皮素、柚皮素、根皮素、肠内酯和肠二醇。在随机点尿样本中,苹果摄入量与根皮素呈正相关,葡萄柚摄入量与柚皮素呈正相关,橙子摄入量与橙皮素呈正相关,柑橘类水果摄入量与柚皮素和橙皮素均呈正相关,相关系数r范围为0.31至0.57(P<0.05)。水果和/或果汁的组合与没食子酸、4-O-甲基没食子酸、异鼠李素、山奈酚、橙皮素、柚皮素和根皮素呈正相关(r为0.24 - 0.44,P<0.05)。咖啡摄入量与咖啡酸和绿原酸呈正相关(r分别为0.29和0.63,P<0.05)。红茶和葡萄酒摄入量与没食子酸和4-O-甲基没食子酸呈正相关(r为0.37 - 0.54,P<0.001)。目前的结果表明,在随机点尿样本中测得的几种多酚可作为富含多酚食物摄入量的生物标志物。