Establishing 24-Hour Urinary Sucrose Plus Fructose as a Predictive Biomarker for Total Sugars Intake.
Establishing 24-Hour Urinary Sucrose Plus Fructose as a Predictive Biomarker for Total Sugars Intake.
复制标题
DOI：
10.1158/1055-9965.epi-21-1293
复制
发表时间：
2022-06-01
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
在英国和美国亚利桑那州(AZ)进行的两项喂养研究中，24小时尿蔗糖和果糖(24uSF)作为总糖摄入量的生物标志物进行了研究。我们比较这些人群中生物标记物的表现，测试它是否符合预测性生物标记物的标准。英国和亚利桑那州的喂养研究分别包括13名和98名参与者，年龄在18-70岁之间，在受控条件下食用他们通常的饮食。在每项研究中都建立了24uSF与总糖和个人特征之间的线性混合模型，并进行了比较。AZ校准的生物标记物方程被应用于产生生物标记物估计的英国参与者的总糖摄入量。还检查了模型在AZ研究亚群中的稳定性。两项研究之间的模型系数相似[例如，LOG(总糖)：UK 0.99，AZ 1.03，p=0.67]，以及校准的生物标记物个人特定偏差与人与人之间差异的比率(UK 0.32，AZ 0.25，p=0.68)。AZ方程估计的UK log(总糖摄入量)的均方预测误差为0.27，与AZ研究的估计值(0.28)相似。在AZ研究中，不同年龄、性别和BMI亚群的LOG(总糖)的回归系数相似。两项研究中相似的模型系数和AZ方程对英国糖摄入量的良好预测表明，24uSF符合预测生物标志物的标准。在其他人群中测试生物标记物的性能是明智的。24uSF生物标记物的应用将使人们能够更好地评估糖摄入量在包括癌症在内的慢性病风险中的作用。
Twenty-four-hour urinary sucrose and fructose (24uSF) has been studied as a biomarker of total sugars intake in two feeding studies conducted in the UK and Arizona (AZ), US. We compare the biomarker performance in these populations, testing whether it meets the criteria for a predictive biomarker. The UK and AZ feeding studies included 13 and 98 participants respectively, aged 18–70 years, consuming their usual diet under controlled conditions. Linear mixed models relating 24uSF to total sugars and personal characteristics were developed in each study and compared. The AZ calibrated biomarker equation was applied to generate biomarker-estimated total sugars intake in UK participants. Stability of the model across AZ study subpopulations was also examined. Model coefficients were similar between the two studies [e.g., log(total sugars): UK 0.99, AZ 1.03, p=0.67], as was the ratio of calibrated biomarker person-specific bias to between-person variance (UK 0.32, AZ 0.25, p=0.68). The AZ equation estimated UK log(total sugar intakes) with mean squared prediction error of 0.27, similar to the AZ study estimate (0.28). Within the AZ study, the regression coefficients of log(total sugars) were similar across age, gender and BMI subpopulations. Similar model coefficients in the two studies and good prediction of UK sugar intakes by the AZ equation suggest that 24uSF meets the criteria for a predictive biomarker. Testing the biomarker performance in other populations is advisable. Applications of the 24uSF biomarker will enable improved assessment of the role of sugars intake in risk of chronic disease, including cancer.