Pediatric Epidemiology, Department of Pediatrics, Medical Faculty, Leipzig University, 04103Leipzig, Germany.
Institute of Epidemiology and Medical Biometry, Ulm University, 89081Ulm, Germany.
Br J Nutr. 2021 Jul 28;126(2):228-235. doi: 10.1017/S0007114520004006. Epub 2020 Oct 12.
Human milk fatty acid composition varies during lactation and is influenced by maternal diet, maternal lifestyle-related factors and genetic background. This is one of the first studies to investigate a period effect, that is, the impact of lifestyle-related changes on human milk fatty acid composition, in two different cohorts. Lactating women were recruited from the general population a decade apart in Ulm, Germany, using similar methodology. Human milk samples collected 6 weeks postpartum were analysed (Ulm Birth Cohort Study (UBCS (2000)), n 567; Ulm SPATZ Health Study (SPATZ (2012)), n 458). Centred log ratio transformation was applied to fatty acid data. Principal component analysis was used to determine study-dependent fatty acid profiles. A general linear model was used to determine the study (or period) effect on fatty acid profiles adjusting for duration of gestation, age, education, delivery mode, smoking and pre-pregnancy BMI. Two principal components were retained (PC1 and PC2). PC1 was associated with UBCS, while PC2 was associated with SPATZ. PC1 comprised high SFA, and low MUFA, n-6 and n-3 long-chain PUFA (LCPUFA). The inverse was true for PC2. Although human milk remains a source of essential fatty acids, infants could be at risk of inadequate n-3 and n-6 LCPUFA intake through human milk. The differences in the human milk fatty acid profiles also reflect changes in maternal dietary habits in the more recent cohort, which may comprise lower intakes of dietary trans-fatty acids and SFA and higher intakes of vegetable oils.
人乳脂肪酸组成在哺乳期发生变化,并受到母亲饮食、与生活方式相关的因素和遗传背景的影响。这是首次在两个不同队列中研究时期效应(即与生活方式相关的变化对人乳脂肪酸组成的影响)的研究之一。使用类似的方法,在德国乌尔姆市,分别于相隔十年的两个时期,从普通人群中招募哺乳期妇女。收集产后 6 周的人乳样本进行分析(乌尔姆出生队列研究(UBCS(2000 年),n=567;乌尔姆 SPATZ 健康研究(SPATZ(2012 年),n=458))。对脂肪酸数据进行中心对数比变换。采用主成分分析确定研究相关的脂肪酸图谱。采用一般线性模型,通过调整胎龄、年龄、教育程度、分娩方式、吸烟和孕前 BMI,确定研究(或时期)对脂肪酸图谱的影响。保留了两个主成分(PC1 和 PC2)。PC1 与 UBCS 相关,而 PC2 与 SPATZ 相关。PC1 包含高 SFA、低 MUFA、n-6 和 n-3 长链多不饱和脂肪酸(LCPUFA)。PC2 则相反。尽管人乳仍然是必需脂肪酸的来源,但婴儿可能通过人乳摄入不足的 n-3 和 n-6 LCPUFA。人乳脂肪酸图谱的差异也反映了近期队列中母亲饮食习惯的变化,这些变化可能包括饮食反式脂肪酸和 SFA 的摄入量较低,以及植物油的摄入量较高。