N-glycosylation of human proteins is a common and essential post-translational modification1 and may help predict the occurrence and development of diseases relatively accurately. Due to the complexity of its structure, it is expected that there are more than 5,000 glycan structures, providing great potential as diagnostic and predictive biomarkers for diseases2. N-glycans attached to immunoglobulin G (IgG) have been shown to be essential for IgG's function, and IgG N-glycosylation participates in the balance between the pro- and anti-inflammatory systems3. Differential IgG N-glycosylation is involved in disease development and progression, representing both a predisposition and functional mechanism involved in disease pathology. The inflammatory role of IgG N-glycosylation has been associated with aging, inflammatory diseases, autoimmune diseases, and cancer4.
With the development of detection technology, the following methods are most widely used in high throughput glycomics: hydrophilic interaction chromatography (HILIC) ultra-performance liquid chromatography with fluorescence detection (UPLC-FLR), multiplex capillary gel electrophoresis with laser induced fluorescence detection (xCGE-LIF), matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS), and liquid chromatography electrospray mass spectrometry (LC-ESI-MS). These methods have overcome previous shortcomings of low flux, unstable results, and poor sensitivity specificity5,6.
UPLC is widely used to explore the association between IgG N-glycosylation and certain diseases (i.e., ageing7, obesity8, dyslipidemia9, type II diabetes10, hypertension11, ischemic stroke12, and Parkinson's disease13). Compared to the other three abovementioned methods, UPLC has the following advantages5,14. First, it provides a relative quantitative analysis method, and the data analysis that involves total area normalization improves the comparability of each sample. Second, the cost of equipment and required expertise are relatively low, which makes it easier to implement and transform glycosylation biomarkers into clinical applications. Presented here is an introduction to UPLC so it can be more widely used.