Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-Universität München, Lindwurmstr. 4, 80337, Munich, Germany.
Pediatric, Nutrition and Human Development Research Unit, Universitat Rovira i Virgili, IISPV; C/ Dr. Mallafrè Guasch, 4, 43005, Tarragona Reus, Spain.
Int J Obes (Lond). 2020 Jan;44(1):69-81. doi: 10.1038/s41366-019-0398-9. Epub 2019 Jul 12.
A high dairy protein intake in infancy, maternal pre-pregnancy BMI, and delivery mode are documented early programming factors that modulate the later risk of obesity and other health outcomes, but the mechanisms of action are not understood.
The Childhood Obesity Project is a European multicenter, double-blind, randomized clinical trial that enrolled healthy infants. Participating infants were either breastfed (BF) or randomized to receive higher (HP) or lower protein (LP) content formula in the first year of life. At the ages 5.5 years (n = 276) and 8 years (n = 232), we determined plasma metabolites by liquid chromatography tandem-mass-spectrometry of which 226 and 185 passed quality control at 5.5 years and 8 years, respectively. We assessed the effects of infant feeding, maternal pre-pregnancy BMI, smoking in pregnancy, delivery mode, parity, birth weight and length, and weight gain (0-24 months) on the metabolome at 5.5 and 8 years.
At 5.5 years, plasma alpha-ketoglutarate and the acylcarnitine/BCAA ratios tended to be higher in the HP than in the LP group, but no metabolite reached statistical significance (P>0.09). There were no group differences at 8 years. Quantification of the impact of early programming factors revealed that the intervention group explained 0.6% of metabolome variance at both time points. Except for country of residence that explained 16% and 12% at 5.5 years and 8 years, respectively, none of the other factors explained considerably more variance than expected by chance.
Plasma metabolome was largely unaffected by feeding choice and other early programming factors and we could not prove the existence of a long term programming effect of the plasma metabolome.
婴儿期高乳制品蛋白摄入、孕妇孕前 BMI 和分娩方式是已被证实的早期编程因素,可调节肥胖和其他健康结果的后期风险,但作用机制尚不清楚。
儿童肥胖项目是一项欧洲多中心、双盲、随机临床试验,纳入了健康婴儿。参与婴儿为母乳喂养(BF)或随机接受高(HP)或低(LP)蛋白含量配方奶在生命的第一年。在 5.5 岁(n=276)和 8 岁(n=232)时,我们通过液相色谱串联质谱法测定了血浆代谢物,其中 226 和 185 个代谢物分别在 5.5 岁和 8 岁时通过质量控制。我们评估了婴儿喂养、孕妇孕前 BMI、妊娠期间吸烟、分娩方式、产次、出生体重和长度以及体重增加(0-24 个月)对 5.5 岁和 8 岁时代谢组的影响。
在 5.5 岁时,HP 组的血浆α-酮戊二酸和酰基肉碱/支链氨基酸比值趋于高于 LP 组,但没有代谢物达到统计学意义(P>0.09)。8 岁时无组间差异。早期编程因素的影响定量分析显示,干预组在两个时间点解释了 0.6%的代谢组学变异。除了居住地,它分别在 5.5 岁和 8 岁时解释了 16%和 12%的变异,其他因素没有一个比预期的随机变异解释得更多。
血浆代谢组学受喂养选择和其他早期编程因素的影响不大,我们无法证明血浆代谢组学存在长期编程效应。