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

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% (<i>p</i> = 0.016) in ACPA-negative early stage (<2 years) RA. To further improve the diagnostic efficacy, a prediction model was constructed with 44 autoantibodies. With increased threshold for RA calling, the specificity of the model is 90.8%, while the sensitivity is 66.1% (87.8% in ACPA-positive RA and 23.8% in ACPA-negative RA) in independent testing patients. Therefore, HuProt arrays identified RA-associated autoantibodies that might become possible diagnostic markers, especially in early stage ACPA-negative RA.

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Publication Details

Journal
MedComm
Published
2024-08-01
DOI
https://doi.org/10.1002/mco2.679
Primary Topic
Systemic Lupus Erythematosus Research
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Yixue Guo, Xu Liu, Qimao Han, Shuang Liu et al.
MedComm
Systemic Lupus Erythematosus Research
article

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

Yixue Guo, Xu Liu, Qimao Han, Shuang Liu, Yingni Li, Ge Gao, Zhanguo Li, Xiaolin Sun, Changcheng Yin, Mingling Liu, Fei Huang, Jiahe Li, Chun Li, Hua Ye, Yan Zhang, Qingwen Wang, Yin Su, Wangzha Pingcuo, Haihong Yao, Yu‐Jian Kang, Xiaoying Zhang
article en

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% (<i>p</i> = 0.016) in ACPA-negative early stage (<2 years) RA. To further improve the diagnostic efficacy, a prediction model was constructed with 44 autoantibodies. With increased threshold for RA calling, the specificity of the model is 90.8%, while the sensitivity is 66.1% (87.8% in ACPA-positive RA and 23.8% in ACPA-negative RA) in independent testing patients. Therefore, HuProt arrays identified RA-associated autoantibodies that might become possible diagnostic markers, especially in early stage ACPA-negative RA.

MedCommVol. 5(8)
Union Hospital (HK), Chongqing University (CN), Peking University (CN), Kunming Medical University (CN), First Affiliated Hospital of Heilongjiang University of Chinese Medicine (CN), First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN), First Affiliated Hospital of Kunming Medical University (CN), Peking University People's Hospital (CN), Peking University Shenzhen Hospital (CN), Chongqing Cancer Hospital (CN), Risun (China) (CN), State Key Laboratory of Protein and Plant Gene Research, Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, Beijing Nova Program, Beijing Science and Technology Planning Project
Good health and well-being
Openalex Percentile: Top 76%
Systemic Lupus Erythematosus Research
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