Comprehensive analysis of human IgG Fc N-glycopeptides and construction of a screening model for colorectal cancer

Abstract Currently, analyzing intact glycopeptides remains a challengeable task. Considerable progress has been achieved in the knowledge of immunoglobulin G (IgG) glycans in patients with colorectal cancer (CRC), whereas data on IgG Fc N-glycopeptides are scarce in the literature. To fill this gap in knowledge, we developed a rapid and effective method to obtain and analyze IgG Fc N-glycopeptides in the plasma from 46 CRC patients and 67 healthy individuals using chitosan@poly (glycidyl methacrylate) @iminodiacetic acid (CS@PGMA@IDA) nanomaterial in combination with matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS). A total of 29 N-glycopeptides were detected and analyzed. Compared with healthy individuals, CRC patients had increased levels of N-acteylglucosamine, yet decreased levels of galactosylation, fucosylation and sialylation. Further, a multivariate logistic regression model was developed using the levels of IgG Fc N-glycopeptides to distinguish CRC patients from healthy individuals, and the prediction performance was good, with an average AUC of the ROC curves of 0.893. Significance In this study, we proposed a strategy for obtaining and analyzing IgG glycopeptides using CS@PGMA@IDA nanomaterial in combination with MALDI-TOF-MS. Using this strategy, IgG Fc N-glycopeptides were analyzed in the plasma of CRC patients, and our findings indicated that glycosylation levels in the IgG Fc region were closely related to CRC. By using the IgG N-glycopeptide enrichment method and screening model designed in this study, early large-scale colorectal cancer screening can be implemented easily and fast.