Medical Sciences Graduate Program, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada.
Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada.
Nutrients. 2022 Jun 16;14(12):2503. doi: 10.3390/nu14122503.
The extent to which variation in food-related metabolites are attributable to non-dietary factors remains unclear, which may explain inconsistent food-metabolite associations observed in population studies. This study examined the association between non-dietary factors and the serum concentrations of food-related biomarkers and quantified the amount of variability in metabolite concentrations explained by non-dietary factors. Pregnant women ( = 600) from two Canadian birth cohorts completed a validated semi-quantitative food frequency questionnaire, and serum metabolites were measured by multisegment injection-capillary electrophoresis-mass spectrometry. Hierarchical linear modelling and principal component partial R-square (PC-PR2) were used for data analysis. For proline betaine and DHA (mainly exogenous), citrus foods and fish/fish oil intake, respectively, explained the highest proportion of variability relative to non-dietary factors. The unique contribution of dietary factors was similar (15:0, 17:0, hippuric acid, TMAO) or lower (14:0, tryptophan betaine, 3-methylhistidine, carnitine) compared to non-dietary factors (i.e., ethnicity, maternal age, gestational age, pre-pregnancy BMI, physical activity, and smoking) for metabolites that can either be produced endogenously, biotransformed by gut microbiota, and/or derived from multiple food sources. The results emphasize the importance of adjusting for non-dietary factors in future analyses to improve the accuracy and precision of the measures of food intake and their associations with health and disease.
非饮食因素对食物相关代谢物的影响程度尚不清楚,这可能解释了人群研究中观察到的食物-代谢物关联不一致的原因。本研究调查了非饮食因素与血清中与食物相关的生物标志物浓度之间的关联,并量化了非饮食因素解释代谢物浓度变异性的程度。来自加拿大两个出生队列的 600 名孕妇完成了一份经过验证的半定量食物频率问卷,并用多段注射毛细管电泳-质谱法测量了血清代谢物。分层线性模型和主成分部分 R 平方(PC-PR2)用于数据分析。对于脯氨酸甜菜碱和 DHA(主要是外源性的)、柑橘类食物和鱼/鱼油的摄入量,分别解释了与非饮食因素相关的最高比例的变异性。与非饮食因素(即种族、母亲年龄、胎龄、孕前 BMI、身体活动和吸烟)相比,饮食因素对可以内源性产生、由肠道微生物群生物转化和/或源自多种食物来源的代谢物的独特贡献相似(15:0、17:0、马尿酸、TMAO)或较低(14:0、色氨酸甜菜碱、3-甲基组氨酸、肉碱)。结果强调了在未来分析中调整非饮食因素的重要性,以提高食物摄入量及其与健康和疾病关联的准确性和精密度。