Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Interdisciplinary Center Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Nutr Rev. 2019 Jan 1;77(1):46-63. doi: 10.1093/nutrit/nuy048.
Dairy intake in humans is commonly assessed using questionnaires, but the data collected are often biased. As a result, there is increasing interest in biomarkers of dairy fat. To date, there has been no overview of the fatty acids suitable for use as biomarkers of dairy fat intake.
This systematic review and meta-analysis of observational studies was performed to identify circulating fatty acids as biomarkers of total dairy and dairy fat intakes in the general population.
MEDLINE, Embase, and Web of Knowledge databases were searched for eligible studies published until June 2017.
Articles were included when a correlation between circulating dairy fatty acids and intakes of total dairy and dairy fat was found, as measured by dietary assessment tools.
Two authors extracted data independently and assessed the risk of bias. An adapted form of the Newcastle-Ottawa Scale was used for quality assessment.
Data were pooled using the random-effects model. Meta-analysis revealed that the fatty acids in plasma/serum were significantly correlated with intakes of total dairy (C14:0 [r = 0.15; 95%CI, 0.11 - 0.18], C15:0 [r = 0.20; 95%CI, 0.13 - 0.27], and C17:0 [r = 0.10; 95%CI, 0.03 - 0.16] and dairy fat (C14:0 [r = 0.16; 95%CI, 0.10 - 0.22], C15:0 [r = 0.33; 95%CI, 0.27 - 0.39], C17:0 [r = 0.19; 95%CI, 0.14 - 0.25], and trans-C16:1n-7 [r = 0.21; 95%CI, 0.14 - 0.29).
C14:0, C15:0, C17:0, and trans-C16:1n-7 were identified as biomarkers of total dairy and dairy fat intakes in the general population. In light of the suboptimal measurement techniques used in some studies, correlations with trans-C18:1n-7 and conjugated linoleic acid require further investigation.
在人类中，乳制品的摄入量通常通过问卷调查来评估，但所收集的数据往往存在偏差。因此，人们对乳制品脂肪的生物标志物越来越感兴趣。迄今为止，还没有关于适合用作乳制品脂肪摄入量生物标志物的脂肪酸的概述。
本系统评价和观察性研究的荟萃分析旨在确定循环脂肪酸是否可作为一般人群中总乳制品和乳制品脂肪摄入量的生物标志物。
直到 2017 年 6 月，检索了 MEDLINE、Embase 和 Web of Knowledge 数据库中符合条件的研究。
当发现循环乳制品脂肪酸与通过饮食评估工具测量的总乳制品和乳制品脂肪摄入量之间存在相关性时，文章被纳入。
两名作者独立提取数据并评估偏倚风险。使用改进的纽卡斯尔-渥太华量表对质量进行评估。
使用随机效应模型对数据进行汇总。荟萃分析显示，血浆/血清中的脂肪酸与总乳制品摄入量（C14:0[r = 0.15；95%CI，0.11 - 0.18]、C15:0[r = 0.20；95%CI，0.13 - 0.27]和 C17:0[r = 0.10；95%CI，0.03 - 0.16]）和乳制品脂肪摄入量（C14:0[r = 0.16；95%CI，0.10 - 0.22]、C15:0[r = 0.33；95%CI，0.27 - 0.39]、C17:0[r = 0.19；95%CI，0.14 - 0.25]和反式 C16:1n-7[r = 0.21；95%CI，0.14 - 0.29]）呈显著相关性。
C14:0、C15:0、C17:0 和反式 C16:1n-7 被确定为一般人群中总乳制品和乳制品脂肪摄入量的生物标志物。鉴于一些研究中使用的测量技术不太理想，反式 C18:1n-7 和共轭亚油酸的相关性需要进一步研究。
