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循环脂肪酸作为乳制品脂肪摄入量的生物标志物:来自 lifelines 生物银行和队列研究的数据。

Circulating fatty acids as biomarkers of dairy fat intake: data from the lifelines biobank and cohort study.

机构信息

a Department of Internal Medicine , University Medical Center Groningen and University of Groningen , Groningen , The Netherlands.

b Department of Epidemiology , University Medical Center Groningen and University of Groningen , Groningen , The Netherlands.

出版信息

Biomarkers. 2019 Jun;24(4):360-372. doi: 10.1080/1354750X.2019.1583770. Epub 2019 Mar 14.

Abstract

C14:0, C15:0, C17:0 and trans-C16:1(-7) are often used as biomarkers for dairy fat intake. Trans-C18:1(-7) and CLA, two fatty acids which are also present in dairy, have hardly been explored. We investigated whether trans-C18:1(-7) and CLA can enrich the existing biomarker portfolio. Data were obtained from Lifelines ( = 769). Dairy fat intake was determined by FFQ. Fatty acids were measured in fasting plasma triglycerides (TG), phospholipids (PL) and cholesterol esters (CE). Median (25th-75th percentile) intakes of dairy and dairy fat were 322(209-447) and 12.3(8.4-17.4) g/d respectively. A pilot study showed that trans-C18:1(-7) and CLA were only detectable in TG and PL. Of the established markers, TG C15:0 was most strongly associated with dairy fat intake (standardized β (std.β) = 0.286,  = 0.111). Of the less established markers, TG trans-C18:1(-7) was most strongly associated with dairy fat intake (Std.β = 0.292,  = 0.115), followed by PL CLA (Std.β = 0.272,  = 0.103) and PL trans-C18:1(-7) (Std.β = 0.269,  = 0.099). In TG, a combination of C15:0 and trans-C18:1(-7) performed best ( = 0.128). In PL, a combination of C14:0, C15:0, trans-C18:1(-7) and CLA performed best ( = 0.143). Trans-C18:1(-7) and CLA can be used as biomarkers of dairy fat intake. Additionally, combining established with less established markers allowed even stronger predictions for dairy fat intake.

摘要

C14:0、C15:0、C17:0 和反式 C16:1(-7) 常被用作奶制品脂肪摄入的生物标志物。反式 C18:1(-7) 和 CLA 是奶制品中也存在的两种脂肪酸,尚未得到充分研究。我们研究了反式 C18:1(-7) 和 CLA 是否可以丰富现有的生物标志物组合。

数据来自 Lifelines(n=769)。奶制品脂肪摄入量通过 FFQ 确定。脂肪酸在空腹血浆甘油三酯 (TG)、磷脂 (PL) 和胆固醇酯 (CE) 中进行测量。

奶制品和奶制品脂肪的中位数(25-75 百分位数)摄入量分别为 322(209-447)和 12.3(8.4-17.4)g/d。一项初步研究表明,反式 C18:1(-7) 和 CLA 仅可在 TG 和 PL 中检测到。在所建立的标志物中,TG C15:0 与奶制品脂肪摄入量相关性最强(标准化 β(std.β)=0.286,p=0.111)。在不太确定的标志物中,TG 反式 C18:1(-7) 与奶制品脂肪摄入量相关性最强(std.β=0.292,p=0.115),其次是 PL CLA(std.β=0.272,p=0.103)和 PL 反式 C18:1(-7)(std.β=0.269,p=0.099)。在 TG 中,C15:0 和反式 C18:1(-7) 的组合效果最佳(p=0.128)。在 PL 中,C14:0、C15:0、反式 C18:1(-7) 和 CLA 的组合效果最佳(p=0.143)。

反式 C18:1(-7) 和 CLA 可作为奶制品脂肪摄入量的生物标志物。此外,将已确定的标志物与不太确定的标志物相结合,可以更准确地预测奶制品脂肪摄入量。

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