School of Health Sciences, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW 2308, Australia.
Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia.
Br J Nutr. 2022 Feb 28;127(4):589-598. doi: 10.1017/S0007114521001343. Epub 2021 Apr 26.
Spot urinary polyphenols have potential as a biomarker of polyphenol-rich food intakes. The aim of this study is to explore the relationship between spot urinary polyphenols and polyphenol intakes from polyphenol-rich food sources. Young adults (18-24 years old) were recruited into a sub-study of an online intervention aimed at improving diet quality. Participants' intake of polyphenols and polyphenol-rich foods was assessed at baseline and 3 months using repeated 24-h recalls. A spot urine sample was collected at each session, with samples analysed for polyphenol metabolites using LC-MS. To assess the strength of the relationship between urinary polyphenols and dietary polyphenols, Spearman correlations were used. Linear mixed models further evaluated the relationship between polyphenol intakes and urinary excretion. Total urinary polyphenols and hippuric acid (HA) demonstrated moderate correlation with total polyphenol intakes (rs = 0·29-0·47). HA and caffeic acid were moderately correlated with polyphenols from tea/coffee (rs = 0·26-0·46). Using linear mixed models, increases in intakes of total polyphenols or polyphenols from tea/coffee or oil resulted in a greater excretion of HA, whereas a negative relationship was observed between soya polyphenols and HA, suggesting that participants with higher intakes of soya polyphenols had a lower excretion of HA. Findings suggest that total urinary polyphenols may be a promising biomarker of total polyphenol intakes foods and drinks and that HA may be a biomarker of total polyphenol intakes and polyphenols from tea/coffee. Caffeic acid warrants further investigation as a potential biomarker of polyphenols from tea/coffee.
尿中多酚类物质有可能成为富含多酚类食物摄入的生物标志物。本研究旨在探讨尿中多酚类物质与富含多酚类食物来源的多酚类物质摄入之间的关系。将年轻人（18-24 岁）招募到一项旨在改善饮食质量的在线干预子研究中。在基线和 3 个月时，使用重复 24 小时回顾法评估参与者的多酚类物质和富含多酚类食物的摄入量。在每次随访时采集一份尿液样本，使用 LC-MS 分析尿液样本中的多酚代谢物。为了评估尿中多酚类物质与饮食中多酚类物质之间关系的强度，使用 Spearman 相关系数进行评估。线性混合模型进一步评估了多酚类物质摄入量与尿液排泄之间的关系。总尿多酚类物质和马尿酸（HA）与总多酚类物质摄入量呈中度相关（rs=0.29-0.47）。HA 和咖啡酸与茶/咖啡（rs=0.26-0.46）中的多酚类物质中度相关。使用线性混合模型，总多酚类物质或茶/咖啡或油中的多酚类物质摄入量增加会导致 HA 排泄增加，而大豆多酚类物质与 HA 之间呈负相关关系，表明大豆多酚类物质摄入量较高的参与者 HA 排泄较低。研究结果表明，总尿多酚类物质可能是富含多酚类食物和饮料总多酚类物质摄入量的有前途的生物标志物，而 HA 可能是总多酚类物质摄入量和茶/咖啡中多酚类物质的生物标志物。咖啡酸作为茶/咖啡中多酚类物质的潜在生物标志物值得进一步研究。
