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Colostral and mature breast milk protein compositional determinants in Qingdao, Wuhan and Hohhot: maternal food culture, vaginal delivery and neonatal gender.

乳铁蛋白 初乳 母乳 酪蛋白 医学 人口 阴道分娩 食品科学 产科 生理学 怀孕 生物 环境卫生 免疫学 生物化学 抗体 遗传学
作者
Biao Liu,Fangjie Gu,Wenhui Ye,Yiping Ren,Guo Shun-tang
出处
期刊:PubMed 卷期号:28 (4): 800-811 被引量:12
标识
DOI:10.6133/apjcn.201912_28(4).0017
摘要

Breast milk proteins are essential to infants as they provide nutrition and protection. This study evaluated multiple factors that might influence breast milk proteins to identify the determinants that lead to inter-individual and longitudinal differences.Five major breast milk proteins (β-casein, α-lactalbumin, lactoferrin, serum albumin and κ-casein) from breast milk samples collected from 55 mothers in three cities (Hohhot, Wuhan and Qingdao) in China were analyzed using a validated ultraperformance liquid chromatography-mass spectrometry method. Various factors were statistically evaluated for their associations with breast milk proteins: mother's age, parity, delivery mode, infant gender and infant birthweight.Although decreased in concentrations, the proportions of β-casein and α-lactalbumin increased from colostrum (33.8% and 26.8%) to mature milk (40.3% and 31.6%), respectively. Mothers of older age were found to produce a lower concentration of total protein. Compared with vaginal delivery, caesarean section was associated with lower concentrations of κ-casein, lactoferrin and β-casein in mature milk. Infant gender influenced breast milk proteins in colostrum: mothers who delivered a girl tended to produce more κ-casein, lactoferrin and total protein. Furthermore, regional differences were found, and mothers from Hohhot produced significantly higher concentrations of α-lactalbumin and lactoferrin than those from Qingdao and Wuhan. This regional difference might be linked to the different dietary patterns of these mothers among cities.Our study deepens the understanding of breast milk protein dynamics in Chinese population and provides evidence on potential determinants, which can serve as guidance for infant nutrition optimization.

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