An autoantibody profile identified by human genome‐wide protein arrays in rheumatoid arthritis

Autor: Xu Liu, Xiaoying Zhang, Yu‐Jian Kang, Fei Huang, Shuang Liu, Yixue Guo, Yingni Li, Changcheng Yin, Mingling Liu, Qimao Han, Qingwen Wang, Hua Ye, Haihong Yao, Chun Li, Jiahe Li, Wangzha Pingcuo, Yan Zhang, Yin Su, Ge Gao, Zhanguo Li, Xiaolin Sun
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: MedComm, Vol 5, Iss 8, Pp n/a-n/a (2024)
Druh dokumentu: article
ISSN: 2688-2663
DOI: 10.1002/mco2.679
Popis: Abstract Precise diagnostic biomarkers of anticitrullination protein antibody (ACPA)‐negative and early‐stage RA are still to be improved. We aimed to screen autoantibodies in ACPA‐negative patients and evaluated their diagnostic performance. The human genome‐wide protein arrays (HuProt arrays) were used to define specific autoantibodies from the sera of 182 RA patients and 261 disease and healthy controls. Statistical analysis was performed with SPSS 17.0. In Phase I study, 51 out of 19,275 recombinant proteins covering the whole human genome were selected. In Phase II validation study, anti‐ANAPC15 (anaphase promoting complex subunit 15) exhibited 41.8% sensitivity and 91.5% specificity among total RA patients. There were five autoantibodies increased in ACPA‐negative RA, including anti‐ANAPC15, anti‐LSP1, anti‐APBB1, anti‐parathymosin, and anti‐UBL7. Anti‐parathymosin showed the highest prevalence of 46.2% (p = 0.016) in ACPA‐negative early stage (
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