School of Biological Sciences, Faculty of Science, The University of Hong Kong, Hong Kong SAR, China.
Adv Nutr. 2020 Nov 16;11(6):1429-1436. doi: 10.1093/advances/nmaa093.
Misreporting of added sugar intake has been the major criticism of studies linking high added sugar consumption to adverse health outcomes. Despite the advancement in dietary assessment methodologies, the bias introduced by self-reporting can never be completely eliminated. The search for an objective biomarker for total added sugar intake has therefore been a topic of interest. In this article, the reasons this search may be a wild goose chase will be outlined and discussed. The limitations and inability of the 2 candidate biomarkers, namely urinary sucrose and fructose and δ¹³C isotope, which are based on the 2 only possible ways (i.e., difference in metabolism and plant sources) to identify added sugar based on current knowledge in human physiology and food and nutritional sciences, are discussed in detail. Validation studies have shown that these 2 candidate biomarkers are unlikely to be suitable for use as a predictive or calibration biomarker for total added sugar intake. Unless advancement in our understanding in human physiology and food and nutritional sciences leads to new potential ways to distinguish between naturally occurring and added sugars, it is extremely unlikely that any accurate objective added sugar biomarker could be found. It may be time to stop the futile effort in searching for such a biomarker, and resources may be better spent on further improving and innovating dietary assessment methods to minimize the bias introduced by self-reporting.
添加糖摄入量的错误报告一直是将高添加糖摄入量与不良健康结果联系起来的研究的主要批评点。尽管饮食评估方法不断进步,但自我报告带来的偏差永远无法完全消除。因此,寻找总添加糖摄入量的客观生物标志物一直是一个研究热点。本文将概述和讨论这种寻找可能是徒劳无益的原因。基于当前人类生理学、食品和营养科学的知识,基于 2 种唯一可能的方法(即代谢和植物来源的差异)来识别添加糖,讨论了基于这 2 种方法的 2 种候选生物标志物,即尿蔗糖和果糖以及 δ¹³C 同位素的局限性和不适用性。验证研究表明,这两种候选生物标志物不太可能适合用作总添加糖摄入量的预测或校准生物标志物。除非我们对人类生理学和食品与营养科学的理解取得进展,从而找到新的潜在方法来区分天然糖和添加糖,否则极不可能找到任何准确的客观添加糖生物标志物。也许是时候停止徒劳无益的寻找这种生物标志物的努力了,将资源更好地用于进一步改进和创新饮食评估方法,以最大程度地减少自我报告带来的偏差。