Molecular characterization of sequence-driven peptide glycation

Differentiation and Quantitation of Coeluting Isomeric Amadori and Heyns Peptides Using Sugar-Specific Fragment Ion Ratios

d-glucose and d-fructose present in blood, tissues, and organs of all mammals can react with amino groups, leading to glucated (Amadori) and fructated (Heyns) products, i.e., proteins glycated at lysine residues. While typically present at low concentration in humans, metabolic diseases including diabetes elevate sugar levels, favoring glycation and consecutive reactions leading to advanced glycation end products (AGEs) linked to diabetic complications and cardiovascular diseases. Analytical methods able to differentiate and to individually quantify Amadori- and Heyns-modified proteins in complex sample mixtures, e.g., serum, are still very limited. Here, we show that the reported and supposedly specific neutral losses displayed in tandem mass spectra of Heyns peptides cannot be used for a reliable differentiation as they were also observed for Amadori peptides. However, the combination of several neutral loss signals in fragment ion ratios at both precursor and fragment ion signals allowed the differentiation and relative quantitation of coeluting isomeric Amadori and Heyns peptides at different concentrations and peptide ratios. This was also true for digested human plasma. Thus, the presented strategy allows the quantitation of Amadori and Heyns peptides in complex samples, especially by spiking isotope-labeled peptides. This will allow searching for glucated and fructated biomarkers in clinical samples.

Open Search of Peptide Glycation Products from Tandem Mass Spectra

Identification of chemically modified peptides in mass spectrometry (MS)-based glycation studies is a crucial yet challenging task. There is a need to establish a mode for matching tandem mass spectrometry (MS/MS) data, allowing for both known and unknown peptide glycation modifications. We present an open search approach that uses classic and modified peptide fragment ions. The latter are shifted by the mass delta of the modification. Both provide key structural information that can be used to assess the peptide core structure of the glycation product. We also leverage redundant neutral losses from the modification side chain, introducing a third ion class for matching referred to as characteristic fragment ions. We demonstrate that peptide glycation product MS/MS spectra contain multidimensional information and that most often, more than half of the spectral information is ignored if no attempt is made to use a multi-step matching algorithm. Compared to regular and/or modified peptide ion matching, our triple-ion strategy significantly increased the median interpretable fraction of the glycation product MS/MS spectra. For reference, we apply our approach for Amadori product characterization and identify all established diagnostic ions automatically. We further show how this method effectively applies the open search concept and allows for optimized elucidation of unknown structures by presenting two hitherto undescribed peptide glycation modifications with a delta mass of 102.0311 and 268.1768 Da. We characterize their fragmentation signature by integration with isotopically labeled glycation products, which provides high validity for non-targeted structure identification.