Hughes David A, Li-Gao Ruifang, Bull Caroline J, de Mutsert Renée, Rosendaal Frits R, Mook-Kanamori Dennis O, Willems van Dijk Ko, Timpson Nicholas J
MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Am J Clin Nutr. 2024 May;119(5):1354-1370. doi: 10.1016/j.ajcnut.2024.03.009. Epub 2024 Mar 16.
Metabolite abundance is a dynamic trait that varies in response to environmental stimuli and phenotypic traits, such as food consumption and body mass index (BMI, kg/m).
In this study, we used the Netherlands Epidemiology of Obesity (NEO) study data to identify observational and causal associations between BMI and metabolite response to a liquid meal.
A liquid meal challenge was performed, and Nightingale Health metabolite profiles were collected in 5744 NEO participants. Observational and one-sample Mendelian randomization (MR) analysis were conducted to estimate the effect of BMI on metabolites (n = 229) in the fasting, postprandial, and response (or change in abundance) states.
We observed 473 associations with BMI (175 fasting, 188 postprandial, and 110 response) in observational analyses. In MR analyses, we observed 20 metabolite traits (5 fasting, 12 postprandial, and 3 response) to be associated with BMI. MR associations included the glucogenic amino acid alanine, which was inversely associated with BMI in the response state (β: -0.081; SE: 0.023; P = 5.91 × 10), suggesting that as alanine increased in postprandial abundance, that increase was attenuated with increasing BMI.
Overall, this study showed that MR estimates were strongly correlated with observational effect estimates, suggesting that the broad associations seen between BMI and metabolite variation has a causal underpinning. Specific effects in previously unassessed postprandial and response states are detected, and these may likely mark novel life course risk exposures driven by regular nutrition.
代谢物丰度是一种动态特征,会随着环境刺激和表型特征(如食物摄入量和体重指数(BMI,kg/m²))而变化。
在本研究中,我们使用荷兰肥胖流行病学(NEO)研究数据来确定BMI与液体餐代谢物反应之间的观察性关联和因果关联。
进行了液体餐挑战,并收集了5744名NEO参与者的夜莺健康代谢物谱。进行了观察性和单样本孟德尔随机化(MR)分析,以估计BMI对空腹、餐后和反应(或丰度变化)状态下代谢物(n = 229)的影响。
在观察性分析中,我们观察到473个与BMI的关联(175个空腹、188个餐后和110个反应)。在MR分析中,我们观察到20个代谢物特征(5个空腹、12个餐后和3个反应)与BMI相关。MR关联包括生糖氨基酸丙氨酸,其在反应状态下与BMI呈负相关(β:-0.081;SE:0.023;P = 5.91×10⁻⁴),这表明随着餐后丙氨酸丰度增加,随着BMI增加这种增加会减弱。
总体而言,本研究表明MR估计值与观察性效应估计值高度相关,表明BMI与代谢物变化之间的广泛关联具有因果基础。检测到了先前未评估的餐后和反应状态下的特定效应,这些效应可能标志着由常规营养驱动的新的生命历程风险暴露。