| Autor: |
Haslund-Gourley BS; Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA 19129, USA.; Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, PA 19129, USA., Wigdahl B; Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA 19129, USA.; Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, PA 19129, USA., Comunale MA; Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA 19129, USA.; Institute for Molecular Medicine and Infectious Disease, Drexel University College of Medicine, Philadelphia, PA 19129, USA. |
| Jazyk: |
angličtina |
| Zdroj: |
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Mar 07; Vol. 13 (6). Date of Electronic Publication: 2023 Mar 07. |
| DOI: |
10.3390/diagnostics13061016 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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