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Abstract
Advanced glycation end-products (AGEs) formation increases with metabolic disorders, leading to higher serum AGE levels in patients with progressive vascular complications. Measuring AGE levels in biological samples requires multiple pre-analytical processing steps, rendering analysis of multiple samples challenging. This study evaluated the progression of diabetic complications by analyzing AGE levels using a pre-analytical processing strategy based on a fully automated solid phase-extraction system. Serum samples from patients with diabetes, with or without macrovascular complications (Mac or non-Mac) or microvascular complications (Mic or non-Mic), were processed with the established methods. Free and total AGE levels in sera were measured using liquid chromatography coupled to tandem mass spectrometry (LC–MS/MS). In patients with diabetes, both free and total AGE levels were elevated in those with complications compared to those without complications. In Mac and Mic groups, free and total AGE levels and z-scores (the sum of normalized AGE levels) also increased. AGE z-scores were markedly higher than those of single AGE levels in distinguishing each complication. Our study demonstrated that the free AGE z-score, measured using a new analytical method without hydrolysis, correlated with the presence of vascular complications and may serve as a marker of disease complications.
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Details
1 Tokai University, Laboratory of Food and Regulation Biology, Graduate School of Bioscience, Kumamoto, Japan (GRID:grid.265061.6) (ISNI:0000 0001 1516 6626)
2 Kumamoto University, Department of Metabolic Medicine, Faculty of Life Science, Kumamoto, Japan (GRID:grid.274841.c) (ISNI:0000 0001 0660 6749)
3 Tokai University, Laboratory of Food and Regulation Biology, Department of Food and Life Sciences, School of Agriculture, Kumamoto, Japan (GRID:grid.265061.6) (ISNI:0000 0001 1516 6626)
4 Tokai University, Laboratory of Food and Regulation Biology, Graduate School of Bioscience, Kumamoto, Japan (GRID:grid.265061.6) (ISNI:0000 0001 1516 6626); Tokai University, Laboratory of Food and Regulation Biology, Department of Food and Life Sciences, School of Agriculture, Kumamoto, Japan (GRID:grid.265061.6) (ISNI:0000 0001 1516 6626)