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Article

Multimatrix Detection and Quantification of the Advanced Glycation End Products Precursor Fructoselysine via UHPLC-HRMS/MS

1
Department of Translational Medicine (DIMET), University of Piemonte Orientale, I-28100 Novara, Italy
2
Center for Translational Research on Allergic and Autoimmune Diseases (CAAD), University of Piemonte Orientale, I-28100 Novara, Italy
3
Institute for Molecular and Translational Cardiology (IMTC), IRCCS Policlinico San Donato, San Donato Milanese, I-20097 Milan, Italy
4
Department of Health Sciences, University of Piemonte Orientale, I-28100 Novara, Italy
5
Department of Sciences and Technological Innovation, University of Piemonte Orientale, I-15121 Alessandria, Italy
*
Author to whom correspondence should be addressed.
Metabolites 2026, 16(1), 78; https://doi.org/10.3390/metabo16010078 (registering DOI)
Submission received: 5 December 2025 / Revised: 8 January 2026 / Accepted: 15 January 2026 / Published: 16 January 2026
(This article belongs to the Special Issue Lipid Metabolism in Age-Related Diseases: 2nd Edition)

Abstract

Background: Advanced glycation end products (AGEs) play a pivotal role in various human pathologies, including aging and metabolic diseases, and their formation may have significant physiological consequences for human health. Fructoselysine (FL) is an intermediate in the formation of AGEs, and its accumulation has been associated with detrimental health effects. Although several chromatographic methods have been developed for AGEs detection and quantification, no mass spectrometry-based approach has previously been established to quantify FL in different human biological matrices. Methods: In this study, we present a novel UHPLC-HRMS/MS method for the identification and quantification of this compound in various biological matrices, including plasma, feces, and urine. Results: The method demonstrates excellent linearity, accuracy, and precision, with limit of detection (LOD) of 0.02 µM and limit of quantification (LOQ) of 0.06 µM. Recovery rates ranged from 95% to 109% and intra- and inter-day relative standard deviations (RSDs) were below 10%, indicating robust analytical performance. The validated method was successfully applied to quantify FL in plasma, feces, and urine samples from healthy individuals. Additionally, given the known association between AGEs and diabetes, we analyzed a small cohort of prediabetic patients and observed elevated circulating levels of FL compared to healthy controls. Conclusions: This study introduces a sensitive and reliable method for the specific detection and quantification of FL in biological samples and provides new insights into early molecular changes associated with prediabetic condition to improve early diagnosis in aging related diseases.
Keywords: AGEs; fructoselysine; liquid chromatography–tandem mass spectrometry; multimatrix quantification; pre-diabetic; aging AGEs; fructoselysine; liquid chromatography–tandem mass spectrometry; multimatrix quantification; pre-diabetic; aging

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MDPI and ACS Style

Fenizia, S.; Manfredi, M.; Antoniotti, V.; Tini, S.; Baima, J.; Prodam, F.; Barberis, E. Multimatrix Detection and Quantification of the Advanced Glycation End Products Precursor Fructoselysine via UHPLC-HRMS/MS. Metabolites 2026, 16, 78. https://doi.org/10.3390/metabo16010078

AMA Style

Fenizia S, Manfredi M, Antoniotti V, Tini S, Baima J, Prodam F, Barberis E. Multimatrix Detection and Quantification of the Advanced Glycation End Products Precursor Fructoselysine via UHPLC-HRMS/MS. Metabolites. 2026; 16(1):78. https://doi.org/10.3390/metabo16010078

Chicago/Turabian Style

Fenizia, Simona, Marcello Manfredi, Valentina Antoniotti, Sabrina Tini, Jessica Baima, Flavia Prodam, and Elettra Barberis. 2026. "Multimatrix Detection and Quantification of the Advanced Glycation End Products Precursor Fructoselysine via UHPLC-HRMS/MS" Metabolites 16, no. 1: 78. https://doi.org/10.3390/metabo16010078

APA Style

Fenizia, S., Manfredi, M., Antoniotti, V., Tini, S., Baima, J., Prodam, F., & Barberis, E. (2026). Multimatrix Detection and Quantification of the Advanced Glycation End Products Precursor Fructoselysine via UHPLC-HRMS/MS. Metabolites, 16(1), 78. https://doi.org/10.3390/metabo16010078

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