Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Key Laboratory of Separation Science for Analytical Chemistry, Dalian 116023, China; University of Chinese Academy of Sciences, Beijing 100049, China.
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Food Chem. 2022 Dec 15;397:133750. doi: 10.1016/j.foodchem.2022.133750. Epub 2022 Jul 20.
Human milk oligosaccharides (HMOs) have attracted increasing attention due to the emerging evidence of their positive roles for infant's health. A high-throughput method for absolute quantitation of the complex HMOs including multiple isomeric structures is important but very challenging, due to the highly divers nature and wide variation in content of HMOs from different individuals. Here we used UPLC-MS-MRM in the negative-ion mode for accurate quantitation of 23 complex HMOs in just 15 min. The selected oligosaccharides are in their native forms and include neutral and sialylated, fucosylated and non-fucosylated, linear and branched, and secretor and Lewis phenotype indicators. The well validated method with good sensitivity, recovery and reproducibility was then applied to a large population quantitative survey of 251 Chinese mothers from five different ethnic groups (Han, Zhuang, Hui, Mongolian and Tibetan) living in different geographical regions for their secretor's status and Lewis phenotypes.
人乳寡糖(HMOs)因其对婴儿健康的积极作用而引起越来越多的关注。由于 HMOs 具有高度多样化的性质和个体间含量的广泛差异,因此开发一种高通量的方法来绝对定量分析包括多种同分异构结构的复杂 HMOs 非常重要,但极具挑战性。在这里,我们使用负离子模式的 UPLC-MS-MRM 在 15 分钟内准确定量 23 种复杂的 HMOs。所选择的寡糖呈天然状态,包括中性和唾液酸化、岩藻糖基化和非岩藻糖基化、线性和分支、以及分泌型和 Lewis 表型标志物。该方法经过良好验证,具有良好的灵敏度、回收率和重现性,随后应用于来自五个不同民族(汉族、壮族、回族、蒙古族和藏族)的 251 位生活在不同地理区域的中国母亲的大型人群定量调查,以确定她们的分泌型和 Lewis 表型。