Distribution of abnormal IgG glycosylation patterns from rheumatoid arthritis and osteoarthritis patients by MALDI-TOF-MSn
| Autor: | Zhijing Song, Yan Li, Chuncui Huang, Ke Wang, Dehui Sun, Huanyu Gao, Ping Wang, Fanlei Hu, Lianjie Shi, Zhanguo Li, Wenchun Xie |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Male
Glycan Glycosylation Arthritis 02 engineering and technology Osteoarthritis 01 natural sciences Biochemistry Analytical Chemistry Arthritis Rheumatoid Diagnosis Differential chemistry.chemical_compound Polysaccharides Electrochemistry medicine Humans Environmental Chemistry Distribution (pharmacology) Spectroscopy Aged biology business.industry 010401 analytical chemistry Case-control study Galactose Middle Aged Igg glycosylation 021001 nanoscience & nanotechnology medicine.disease 0104 chemical sciences carbohydrates (lipids) chemistry Case-Control Studies Immunoglobulin G Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Rheumatoid arthritis Immunology biology.protein Female 0210 nano-technology business Protein Processing Post-Translational Biomarkers |
| Zdroj: | The Analyst. 144:2042-2051 |
| ISSN: | 1364-5528 0003-2654 |
| DOI: | 10.1039/c8an02014k |
| Popis: | Glycosylation is a post-translational modification essential for maintaining the structure and function of proteins. Abnormal N-glycan patterns have been found in various diseases compared to healthy controls. A decrease in terminal galactosylated N-glycans of serum IgG in rheumatoid arthritis (RA) and osteoarthritis (OA) may be involved in their immunopathogenesis. However, how glycan patterns differ between RA and OA remains unclear. Here, we identified 15 glycan forms of serum IgG from RA and OA using MALDI-TOF MS. We found that IgG galactosylation represented a suitable candidate for differentiating RA from healthy controls (AUC > 0.9). Then, we performed binary logistic regression to screen out three bisecting N-acetylglucosamine (GlcNAc) glycoforms for distinguishing between OA and RA. Combined ROC analysis of the selected glycans yielded an AUC of 0.81 between OA and RA and an AUC of 0.79 between OA and RF/ACPA negative RA. Similar results were found in the validation set. In conclusion, our analysis demonstrates that RA and OA are distinguished on the basis of their different IgG glycan patterns, which thus serve as suitable candidates as biomarkers for reliably identifying clinical conditions such as RA and OA. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|