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The detection of glycosylation alterations is essential for elucidating the roles of glycan functions in biological processes and identifying potential disease biomarkers. Stable isotopic chemical labeling, coupled with mass spectrometry (MS), represents a powerful approach in quantitative glycomics. In this study, we synthesized a novel isotopic hydrazide pair, 2,6-Dimethyl-4-chinolincarbohydrazid (DMQCH) and its deuterium isomer DMQCH-d, via an efficient and cost-effective method, and applied it for the first time in MALDI-MS-based quantitative glycomics. The hydrazide tags, DMQCH/DMQCH-d, enabled stable mass shifts through reductive-terminal reactions with glycans, allowing for differential mass tagging of two samples without additional purification after derivatization. This DMQCH/DMQCH-d pair exhibited high derivatization efficiency (including on-target derivatization), substantial improvements in MS signal intensity (a 15-fold increase for maltoheptaose, high reproducibility (CV < 13.6 %), and excellent linearity (R > 0.99) over two orders of magnitude in dynamic range for the relative quantitative analysis of maltoheptaose. Furthermore, this isotopic hydrazide pair was validated by successfully measuring changes in serum N-glycan profiles from individuals with healthy human serum control and ovarian cancer, highlighting its potential in quantitative glycomics for clinical applications.
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http://dx.doi.org/10.1016/j.talanta.2025.127921 | DOI Listing |
J Am Soc Mass Spectrom
September 2025
Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Glycans are complex molecules composed of various monosaccharides and exhibit diverse, branched polymer structures. Extensive research has been conducted on mass spectrometry (MS)-based qualitative and quantitative glycan analysis due to their critical biological functions. However, traditional data-dependent acquisition (DDA) in MS analysis primarily selects a limited subset of abundant ions during MS1 scans for fragmentation in subsequent MS2 stages.
View Article and Find Full Text PDFCardiovasc Diabetol
August 2025
Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Background: Altered plasma N-glycosylation is increasingly recognized as a contributor to metabolic dysregulation. This study aimed to investigate the role of plasma N-glycans in glucose metabolism and the progression from normoglycemia to prediabetes and type 2 diabetes (T2D).
Methods: We analyzed longitudinal data from 473 participants in the Cooperative Health Research in the Region of Augsburg (KORA) cohort over 7 years.
PLoS Pathog
July 2025
Department of Agricultural Biotechnology, Seoul National University, Seoul, Republic of Korea.
Protein glycosylation, a co- and post-translational modification that enhances the functional diversity of the proteome, contributes to various molecular and cellular functions by transferring different polysaccharides onto proteins. During the last decade, the role of glycosylation in plant pathogenic fungi has received significant attention, and glycoproteins are expected to play essential roles in various biological processes including pathogenicity. However, the comprehensive functional genetic analyses for protein glycosylation pathways and glycan structures of phytopathogenic fungi are still largely unknown.
View Article and Find Full Text PDFJ Mass Spectrom
August 2025
Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
The intersection of modern artificial intelligence (AI) and mass spectrometry (MS) is set to transform the MS-based "omics" research fields, particularly proteomics, metabolomics, lipidomics, and glycomics, enabling advancements across a wide range of domains, from health to environment and industrial biotechnology. Beginning with an overview of key challenges inherent in MS software pipelines, this personal perspective explores how AI-driven solutions can address them to enhance data processing, integration and interpretation. It proposes a paradigm shift in molecular identification and quantitation algorithms, leveraging AI to enable holistic interpretation of MS-based multiomics data.
View Article and Find Full Text PDFInt J Mol Sci
May 2025
Laboratory of Advanced Chemical Biology, Graduate School of Life Science, Hokkaido University, Sapporo 001-0021, Japan.
Breast cancer (BC) is a major global health concern, and early detection is key to improving patient outcomes. Aberrant glycosylation, particularly the sulfation of glycans, is implicated in cancer progression; however, analyzing these low-abundance glycans is challenging. This study aimed to profile serum sulfated N-glycans in Ethiopian patients with BC to identify novel biomarkers for the early detection of BC.
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