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Journal article
IgG N-glycan Signatures as Potential Diagnostic and Prognostic Biomarkers
Diagnostics (Basel), v 13(6), 1016
07 Mar 2023
PMID: 36980324
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
IgG N-glycans are an emerging source of disease-specific biomarkers. Over the last decade, the continued development of glycomic databases and the evolution of glyco-analytic methods have resulted in increased throughput, resolution, and sensitivity. IgG N-glycans promote adaptive immune responses through antibody-dependent cellular cytotoxicity (ADCC) and complement activation to combat infection or cancer and promote autoimmunity. In addition to the functional assays, researchers are examining the ability of protein-specific glycosylation to serve as biomarkers of disease. This literature review demonstrates that IgG N-glycans can discriminate between healthy controls, autoimmune disease, infectious disease, and cancer with high sensitivity. The literature also indicates that the IgG glycosylation patterns vary across disease state, thereby supporting their role as specific biomarkers. In addition, IgG N-glycans can be collected longitudinally from patients to track treatment responses or predict disease reoccurrence. This review focuses on IgG N-glycan profiles applied as diagnostics, cohort discriminators, and prognostics. Recent successes, remaining challenges, and upcoming approaches are critically discussed.
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Details
- Title
- IgG N-glycan Signatures as Potential Diagnostic and Prognostic Biomarkers
- Creators
- Benjamin S Haslund-Gourley - Drexel UniversityBrian Wigdahl - Drexel UniversityMary Ann Comunale - Drexel University
- Publication Details
- Diagnostics (Basel), v 13(6), 1016
- Publisher
- MDPI
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Microbiology and Immunology; College of Medicine
- Web of Science ID
- WOS:000958197500001
- Scopus ID
- 2-s2.0-85151754612
- Other Identifier
- 991020262759504721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Immunology