Abstract

Glycation is a non-enzymatic reaction of protein amino and guanidino groups with reducing sugars or dicarbonyl products of their oxidative degradation. Modification of arginine residues by dicarbonyls such as glyoxal and methylglyoxal results in formation of advanced glycation end-products (AGEs). In mammals, these modifications impact in diabetes mellitus, uremia, atherosclerosis and ageing. However, due to the low abundance of individual AGE-peptides in enzymatic digests, these species cannot be efficiently detected by LC-ESI-MS-based data-dependent acquisition (DDA) experiments. Here we report an analytical workflow that overcomes this limitation. We describe fragmentation patterns of synthetic AGE-peptides and assignment of modification-specific signals required for unambiguous structure retrieval. Most intense signals were those corresponding to unique fragment ions with m/z 152.1 and 166.1, observed in the tandem mass spectra of peptides, containing glyoxal- and methylglyoxal-derived hydroimidazolone AGEs, respectively. To detect such peptides, specific and sensitive precursor ion scanning methods were established for these signals. Further, these precursor ion scans were incorporated in conventional bottom-up proteomic approach based on data-dependent acquisition (DDA) LC-MS/MS experiments. The method was successfully applied for the analysis of human serum albumin (HSA) and human plasma protein tryptic digest with subsequent structure confirmation by targeted LC-MS/MS (DDA). Altogether 44 hydroimidazolone- and dihydroxyimidazolidine-derived peptides representing 42 AGE-modified proteins were identified in plasma digests obtained from type 2 diabetes mellitus (T2DM) patients.

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