Toward Sequencing the Human Milk Glycome: High-Resolution Cyclic Ion Mobility Separations of Core Human Milk Oligosaccharide Building Blocks

Abstract

Human milk oligosaccharides (HMOs) are an unconjugated class of glycans that have been implicated for their role in promoting the healthy development of the brain-gut axes of infants. Production of HMOs is ever-changing and specifically tailored for each infant in response to various biological factors (<i>e.g.</i>, cognitive development, diseases, or allergies). While every HMO consists of up to only five monosaccharides, their structures can be composed of many possible glycosidic linkage positions and corresponding α/β anomericities, linear or branched chains, and potential fucosylation/sialylation modifications, thus leading to a tremendous degree of isomeric heterogeneity. With limited availability of authentic standards for every putative HMO structure (estimated to be >200 total), new analytical methods are needed for their accurate characterization. Complete sequencing of the human milk glycome would enable a better understanding of their infant-specific biological roles and potentially lead to their widespread incorporation into infant formula. Herein, we explore the use of our high-resolution cyclic ion mobility spectrometry-mass spectrometry (cIMS-MS)-based platform for the separation of core disaccharide and trisaccharide isomer building blocks as a first step toward the sequencing of larger HMOs. By utilizing the flexible capabilities of the cIMS array, separation pathlengths were extended up to 40 m, thus enabling the resolution of all seven sets of sialylated, fucosylated galactosyllactose and lactosamine HMO building block isomers. Additionally, we assessed the utility of pre-/post-cIMS tandem mass spectrometry (MS/MS) and tandem cIMS (cIMS/cIMS) for the characterization of HMOs based on their diagnostic fragmentation patterns and mobility fingerprints. We anticipate that our presented cIMS-MS-based methodology will enable the better characterization of larger, unknown HMOs when incorporated into an overall workflow that also includes online liquid chromatography and enzymatic hydrolyses.