Changes in serum immunoglobulin G glycosylation patterns for antiphospholipid syndrome patients with lectin microarray

Author:

Wang Yifei123ORCID,Li Siting123,Meng Jingjing4,Yu Rui123,Wang Qian123,Tian Xinping123,Li Mengtao123,Zeng Xiaofeng123,Zhao Jiulang123,Hu Chaojun123

Affiliation:

1. Department of Rheumatology and Clinical Immunology Chinese Academy of Medical Sciences & Peking Union Medical College Beijing China

2. National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC‐DID) Ministry of Science & Technology Beijing China

3. Key Laboratory of Rheumatology and Clinical Immunology Ministry of Education Beijing China

4. Department of Clinical Laboratory Fifth Affiliated Hospital of Zhengzhou University Zhengzhou China

Abstract

AbstractAntiphospholipid syndrome is a rare autoimmune disease characterized by persistent antiphospholipid antibodies. Immunoglobulin G plays a vital role in disease progression, with its structure and function affected by glycosylation. We aimed to investigate the changes in the serum immunoglobulin G glycosylation pattern in antiphospholipid syndrome patients. We applied lectin microarray on samples from 178 antiphospholipid syndrome patients, 135 disease controls (including Takayasu arteritis, rheumatoid arthritis and cardiovascular disease) and 100 healthy controls. Lectin blots were performed for validation of significant differences. Here, we show an increased immunoglobulin G‐binding level of soybean agglutinin (p = 0.047, preferring N‐acetylgalactosamine) in antiphospholipid syndrome patients compared with healthy and disease controls. Additionally, the immunoglobulin G from antiphospholipid syndrome patients diagnosed with pregnancy events had lower levels of fucosylation (p = 0.001, recognized by Lotus tetragonolobus) and sialylation (p = 0.030, recognized by Sambucus nigra I) than those with simple thrombotic events. These results suggest the unique serum immunoglobulin G glycosylation profile of antiphospholipid syndrome patients, which may inform future studies to design biomarkers for more accurate diagnosis of antiphospholipid syndrome and even for the prediction of clinical symptoms in patients.

Funder

National Key Research and Development Program of China

Publisher

Wiley

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