Li Henghui, Gao Wenjie, Feng Xiaojun, Liu Bi-Feng, Liu Xin
Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Anal Chim Acta. 2016 Jun 14;924:77-85. doi: 10.1016/j.aca.2016.04.023. Epub 2016 Apr 25.
Sialic acids usually locate at the terminal of many glycan structures in either α(2,3) or α(2,6) linkage, playing different roles in various biological and pathological processes. Several linkage specific carboxyl derivatization methods have been reported to discriminate between α(2,3) and α(2,6)-linked sialic acids by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). Among them, ethyl esterification was recently reported to achieve linkage specific derivatization between α(2,3) and α(2,6)-linked sialic acids with good selectivity. However, the method suffered from the instability of the generated lactones and byproducts of the derivatives. To overcome these shortcomings, a solid-phase two step derivatization method was introduced to convert the α(2,6)-linked sialic acid into ethyl esters and the α(2,3)-inked counterparts into N-methyl amides, respectively. Under the optimized derivatization conditions, our method was able to achieve accurate relative quantification of N-glycan as well as their corresponding sialylated linkage types, superior to the ethyl esterification method. The solid phase derivatization strategy was further applied to investigate N-glycans from biosimilar antibody drug and human serum from patients and healthy volunteers. This method has the potential to be used in the biomarker discovery and pharmaceutical industry.
唾液酸通常以α(2,3)或α(2,6)连接方式位于许多聚糖结构的末端,在各种生物和病理过程中发挥不同作用。据报道,几种连接特异性羧基衍生化方法可通过基质辅助激光解吸/电离质谱(MALDI-MS)区分α(2,3)和α(2,6)连接的唾液酸。其中,最近报道了乙酯化可实现α(2,3)和α(2,6)连接的唾液酸之间具有良好选择性的连接特异性衍生化。然而,该方法存在生成的内酯和衍生物副产物不稳定的问题。为克服这些缺点,引入了一种固相两步衍生化方法,分别将α(2,6)连接的唾液酸转化为乙酯,将α(2,3)连接的对应物转化为N-甲基酰胺。在优化的衍生化条件下,我们的方法能够实现N-聚糖及其相应唾液酸化连接类型的准确相对定量,优于乙酯化方法。固相衍生化策略进一步应用于研究生物类似物抗体药物中的N-聚糖以及患者和健康志愿者的人血清。该方法有潜力用于生物标志物发现和制药行业。