National Engineering Center of Dairy for Maternal and Child Health, Beijing Sanyuan Foods Co. Ltd, Beijing 100163, P. R. China.
Beijing Engineering Research Center of Dairy, Beijing Sanyuan Foods Co. Ltd, Beijing 100163, P. R. China.
Food Funct. 2022 May 10;13(9):5202-5214. doi: 10.1039/d1fo04123a.
This work studies the concentrations of proteins in human milk (HM) at different lactation periods and explores the influence of maternal-infant factors on the dynamics of HM proteins in a Chinese cohort. The cohort contained 153 mother-infant pairs, and 12 main proteins of 376 HM samples were analyzed. The result showed that physiological factors (age and pre-pregnancy BMI), demographic factors (education and occupation), endogenous factors (cesarean section), and exogenous factors (lactation period and area) could explain the dynamics of HM proteins, including the total protein, true protein, whey protein, β-casein, lactoferrin, IgA, and IgM ( > 0.3). Factor analysis explained the dynamic changes in the IgM content by the highest degree of 49.5%. This study aimed to find the mother-infant factors that affected the dynamic changes in HM proteins, in order to optimize HM proteins and improve the long- and short-term health of infants (registration number: NCT02658500).
本研究旨在探讨不同哺乳期人乳中蛋白质的浓度，并探索中国队列中母亲-婴儿因素对人乳蛋白质动态变化的影响。该队列包含 153 对母婴，分析了 376 个人乳样本中的 12 种主要蛋白质。结果表明，生理因素（年龄和孕前 BMI）、人口统计学因素（教育和职业）、内源性因素（剖宫产）和外源性因素（哺乳期和地区）可以解释人乳蛋白质的动态变化，包括总蛋白、真蛋白、乳清蛋白、β-酪蛋白、乳铁蛋白、IgA 和 IgM（>0.3）。因子分析以 49.5%的最高程度解释了 IgM 含量的动态变化。本研究旨在寻找影响人乳蛋白质动态变化的母婴因素，以优化人乳蛋白质，提高婴儿的长期和短期健康水平（注册号：NCT02658500）。
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