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A method to identify trace sulfated IgG N-glycans as biomarkers for rheumatoid arthritis

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机构: [1]State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China [2]Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China [3]Agilent Technologies, 5301 Stevens Creek Blvd, Santa Clara, CA 95051, USA [4]Key Laboratory of Medical Molecular Virology of Ministries of Education andHealth, Basic Medical College, Fudan University, Shanghai 200032, China [5]Lindsley F Kimball Research Institute, New York Blood Center, NY 10065, USA [6]Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China [7]Department of Rheumatologyand Immunology, Peking University People’s Hospital, 11 Xizhimen South Street, Beijing 100044, China [8]Division of Rheumatology, Jiujiang First People’sHospital, Taling North Road 48, Jiujiang 332000, China [9]Agilent Technologies Hong Kong Ltd.,Suite 2603, 26/F, AXA Tower, Landmark East, Kwun Tong,Hong Kong, China [10]Guangdong Provincial Hospital of Chinese Medicine, Dade Road 111, Guangzhou 510120, China
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N-linked glycans on immunoglobulin G (IgG) have been associated with pathogenesis of diseases and the therapeutic functions of antibody-based drugs; however, low-abundance species are difficult to detect. Here we show a glycomic approach to detect these species on human IgGs using a specialized microfluidic chip. We discover 20 sulfated and 4 acetylated N-glycans on IgGs. Using multiple reaction monitoring method, we precisely quantify these previously undetected low-abundance, trace and even ultra-trace N-glycans. From 277 patients with rheumatoid arthritis (RA) and 141 healthy individuals, we also identify N-glycan biomarkers for the classification of both rheumatoid factor (RF)-positive and negative RA patients, as well as anti-citrullinated protein antibodies (ACPA)-positive and negative RA patients. This approach may identify N-glycosylation-associated biomarkers for other autoimmune and infectious diseases and lead to the exploration of promising glycoforms for antibody therapeutics.

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出版当年[2016]版:
大类 | 1 区 综合性期刊
小类 | 1 区 综合性期刊
最新[2025]版:
大类 | 1 区 综合性期刊
小类 | 1 区 综合性期刊
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出版当年[2015]版:
Q1 MULTIDISCIPLINARY SCIENCES
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Q1 MULTIDISCIPLINARY SCIENCES

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第一作者机构: [1]State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China [2]Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
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通讯机构: [1]State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China [2]Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
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