Williamson David L, Naylor Cameron N, Nagy Gabe
Department of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States.
Anal Chem. 2024 Aug 13. doi: 10.1021/acs.analchem.4c03411.
Gangliosides, a diverse class of glycosphingolipids, are highly abundant in neural tissue and have been implicated in numerous aging-related diseases. Their characterization with methods such as liquid chromatography-tandem mass spectrometry is often precluded by their structural complexity, isomeric heterogeneity, and lack of commercially available authentic standards. In this work, we coupled high-resolution cyclic ion mobility spectrometry with multiple collision-induced dissociation-based tandem mass spectrometry strategies to sequence the sialic acid positions in various ganglioside isomers. Initially, as a proof-of-concept demonstration, we were able to characterize the sialic acid positions in several GD1 and GT1 species. From there, we extended our approach to identify the location of N-glycolylneuraminic acid (NeuGc) residues in previously uncharacterized GD1 and GQ1 isomers. Our results highlight the potential of this presented methodology for the characterization of gangliosides within complex biological matrices without the need for authentic standards.
神经节苷脂是一类多样的糖鞘脂,在神经组织中含量极高,并与多种衰老相关疾病有关。由于其结构复杂、异构体异质性以及缺乏市售的标准品,通常难以用液相色谱 - 串联质谱等方法对其进行表征。在这项工作中,我们将高分辨率循环离子淌度光谱法与基于多次碰撞诱导解离的串联质谱策略相结合,以确定各种神经节苷脂异构体中唾液酸的位置。最初,作为概念验证演示,我们能够表征几种GD1和GT1种类中的唾液酸位置。在此基础上,我们扩展了方法,以确定先前未表征的GD1和GQ1异构体中N - 羟乙酰神经氨酸(NeuGc)残基的位置。我们的结果突出了这种所提出方法在无需标准品的情况下表征复杂生物基质中神经节苷脂的潜力。