纵向代谢组学洞察喂养模式,超重/肥胖,以及从出生到童年的特应性疾病。

Chih-Yung Chiu, Meng-Han Chiang, Chieh-Ni Kuo, Kuan-Wen Su, Jing-Long Huang, Kuo-Wei Yeh
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引用次数: 0

摘要

背景:在儿童早期,发生了重大变化,包括饮食模式的转变、生长加速、超重和过敏性疾病的出现。然而,对于这些因素之间的关系,从出生到童年的纵向代谢组学分析仍然缺乏。方法:共纳入144名儿童,他们完成了5年的出生队列随访。采用1H核磁共振(NMR)偏最小二乘判别分析(PLS-DA)对1个月、6个月、1岁、3岁和5岁采集的尿液代谢物进行时间序列分析。研究了已确定的代谢物与时间变化的关系,以及与母乳喂养模式、过敏原敏感性、超重/肥胖和儿童时期的特应性疾病的关系。结果:c均值聚类确定了代谢物丰度模式的三个不同模块,突出了不同年龄的氨基酸增加和碳水化合物代谢减少。代谢谱的Bray-Curtis差异指数随年龄的增长而增加,在配方奶喂养的婴儿和超重/肥胖儿童中指数较低,而在儿童时期的特应性疾病中指数较高。代谢物在母乳喂养模式之间的差异表达主要在出生后的第一年被发现,特别是与一岁时的牛奶致敏有关。维恩图显示了代谢物分布,显示母乳喂养模式与婴儿超重/肥胖之间有80%的重叠,超重/肥胖与儿童特应性疾病之间有53%的重叠。结论:纵向代谢组学分析揭示了肠道微生物群相关代谢物与喂养方式之间的关联,将配方奶喂养与婴儿超重/肥胖联系起来,以及超重/肥胖儿童与儿童特应性疾病之间的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Longitudinal metabolomics insights into feeding patterns, overweight/obesity, and atopic diseases from birth to childhood.

Background: During early childhood, significant changes occur, including shifts in dietary patterns, accelerated growth, and the emergence of overweight and allergic diseases. However, a longitudinal metabolomic analysis from birth to childhood for the relationships between these factors remains lacking.

Methods: A total of 144 children, who completed a 5-year follow-up from a birth cohort, were enrolled. Time series analysis of urinary metabolites collected at ages 1 and 6 months, and at 1, 3, and 5 years was conducted using 1H nuclear magnetic resonance (NMR) spectroscopy with partial least squares discriminant analysis (PLS-DA). Identified metabolites were studied in relation to changes over time and associations with breastfeeding patterns, allergen sensitizations, overweight/obesity, and atopic diseases during childhood.

Results: C-means clustering identified three distinct modules of metabolite abundance patterns, highlighting an increase in amino acid and a decrease in carbohydrate metabolism across ages. The Bray-Curtis dissimilarity indices of metabolic profiles increased with age, showing lower indices in formula-fed infants and children with overweight/obesity, but a higher index in atopic diseases during childhood. Metabolites differentially expressed between breastfeeding patterns were primarily identified within the first year of life, particularly in relation to milk sensitization at age 1. Venn diagrams illustrated metabolite distributions, showing an 80% overlap between breastfeeding patterns and infant overweight/obesity, and a 53% overlap between overweight/obesity and atopic diseases in childhood.

Conclusion: Longitudinal metabolomics analysis revealed associations between gut microbiota-related metabolites and feeding patterns, linking formula feeding to infant overweight/obesity, as well as connections between overweight/obese children and atopic diseases during childhood.

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