Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.
Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada.
J Nutr. 2021 Nov 2;151(11):3431-3441. doi: 10.1093/jn/nxab270.
Human milk is a rich source of human milk oligosaccharides (HMOs) and bacteria. It is unclear how these components interact within the breast microenvironment.
The objectives were first, to investigate the association between maternal characteristics and HMOs, and second, to assess the association between HMOs and microbial community composition and predicted function in milk from women with high rates of gestational glucose intolerance.
This was an exploratory analysis of a previously completed prospective cohort study (NCT01405547) where milk samples (n = 107) were collected at 3 mo postpartum. Milk microbiota composition was analyzed by V4-16S ribosomal RNA gene sequencing and HMOs by rapid high-throughput HPLC. Data were stratified and analyzed by maternal secretor status phenotype and associations between HMOs and microbiota were determined using linear regression models (ɑ-diversity), Adonis (B-diversity), Poisson regression models (differential abundance), and general linear models (predicted microbial function).
Prepregnancy BMI, race, and frequency of direct breastfeeding, but not gestational glucose intolerance, were found to be significantly associated with a number of HMOs among secretors and non-secretors. Fucosyllacto-N-hexaose was negatively associated with microbial richness (Chao1) among secretors [B-estimate (SE): -9.3 × 102 (3.4 × 102); P = 0.0082] and difucosyllacto-N-hexaose was negatively associated with microbiota diversity (Shannon index) [-1.7 (0.78); P = 0.029] among secretors. Lacto-N-neotetraose (LNnT) was associated with both microbial B-diversity (weighted UniFrac R2 = 0.040, P = 0.036) and KEGG ortholog B-diversity (Bray-Curtis R2 = 0.039, P = 0.043) in secretors. Additionally, difucosyllactose in secretors and disialyllacto-N-hexaose and LNnT in non-secretors were associated with enrichment of predicted microbial genes encoding for metabolism- and infection-related pathways (P-false discovery rate < 0.1).
HMOs are associated with the microbial composition and predicted microbial functions in human milk at 3 mo postpartum. Further research is needed to investigate the role these relations play in maternal and infant health.
人乳是人类乳寡糖(HMOs)和细菌的丰富来源。目前尚不清楚这些成分在乳房微环境中如何相互作用。
本研究的主要目的是首先调查产妇特征与 HMOs 之间的关联,其次评估 HMOs 与微生物群落组成和高妊娠葡萄糖不耐受女性乳汁中预测功能之间的关联。
这是一项对先前完成的前瞻性队列研究(NCT01405547)的探索性分析,其中在产后 3 个月收集了 107 份乳样。通过 V4-16S 核糖体 RNA 基因测序分析乳微生物群落组成,通过快速高通量 HPLC 分析 HMOs。根据产妇分泌状态表型对数据进行分层和分析,并使用线性回归模型(ɑ-多样性)、Adonis(B-多样性)、泊松回归模型(差异丰度)和一般线性模型(预测微生物功能)确定 HMOs 与微生物群之间的关联。
研究发现,孕前 BMI、种族和直接母乳喂养的频率与分泌者和非分泌者的多种 HMOs 显著相关,但妊娠葡萄糖不耐受与 HMOs 无关。岩藻糖基乳糖-N-六糖(fucosyllacto-N-hexaose)与分泌者的微生物丰富度(Chao1)呈负相关[B 估计值(SE):-9.3×102(3.4×102);P=0.0082],二岩藻糖基乳糖-N-六糖(difucosyllacto-N-hexaose)与分泌者的微生物多样性(Shannon 指数)呈负相关[-1.7(0.78);P=0.029]。乳-N-新四糖(lacto-N-neotetraose,LNnT)与微生物 B-多样性(加权 UniFrac R2=0.040,P=0.036)和 KEGG 同源物 B-多样性(Bray-Curtis R2=0.039,P=0.043)均呈正相关。此外,分泌者中二岩藻糖基乳糖和非分泌者中唾液乳糖-N-六糖和 LNnT 与预测微生物基因编码的代谢和感染相关途径的富集有关(P-假发现率<0.1)。
HMOs 与人乳中产后 3 个月的微生物组成和预测的微生物功能相关。需要进一步研究这些关系在母婴健康中的作用。