School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland.
Nutrition and Dietetic Research Group, Division of Endocrinology and Metabolism, Imperial College London, London, U.K.
Mol Nutr Food Res. 2017 Oct;61(10). doi: 10.1002/mnfr.201700037. Epub 2017 Jul 20.
There is a dearth of studies demonstrating the use of dietary biomarkers for determination of food intake. The objective of this study was to develop calibration curves for use in quantifying citrus intakes in an independent cohort.
Participants (n = 50) from the NutriTech food-intake study consumed standardized breakfasts for three consecutive days over three consecutive weeks. Orange juice intake decreased over the weeks. Urine samples were analyzed by NMR-spectroscopy and proline betaine was quantified and normalized to osmolality. Calibration curves were developed and used to predict citrus intake in an independent cohort; the Irish National Adult Nutrition Survey (NANS) (n = 565). Proline betaine displayed a dose-response relationship to orange juice intake in 24 h and fasting samples (p < 0.001). In a test set, predicted orange juice intakes displayed excellent agreement with true intake. There were significant associations between predicted intake measured in 24 h and fasting samples and true intake (r = 0.710-0.919). Citrus intakes predicted for the NANS cohort demonstrated good agreement with self-reported intake and this agreement improved following normalization to osmolality.
The developed calibration curves successfully predicted citrus intakes in an independent cohort. Expansion of this approach to other foods will be important for the development of objective intake measurements.
目前,用于确定食物摄入量的饮食生物标志物的研究很少。本研究的目的是开发校准曲线,以便在独立队列中定量柑橘类摄入量。
NutriTech 饮食摄入量研究的参与者(n=50)连续三周内连续三天食用标准化早餐。橙汁摄入量在几周内逐渐减少。通过 NMR 光谱分析尿液样本,并对脯氨酸甜菜碱进行定量,并标准化至渗透压。开发了校准曲线,并用于预测独立队列(爱尔兰国家成人营养调查(NANS)(n=565))中的柑橘摄入量。脯氨酸甜菜碱在 24 小时和空腹样本中与橙汁摄入量呈剂量反应关系(p<0.001)。在测试集中,预测的橙汁摄入量与真实摄入量具有极好的一致性。在 24 小时和空腹样本中测量的预测摄入量与真实摄入量之间存在显著关联(r=0.710-0.919)。为 NANS 队列预测的柑橘摄入量与自我报告的摄入量具有良好的一致性,并且在标准化至渗透压后,这种一致性得到了提高。
开发的校准曲线成功地预测了独立队列中的柑橘类摄入量。将这种方法扩展到其他食物对于开发客观的摄入量测量将非常重要。