Identification of Novel Serological Autoantibodies in Takayasu Arteritis Patients Using HuProt Arrays
Autor: | Jianbo Pan, Xinping Tian, Jiang Qian, Xiaoting Wen, Ziyan Wu, Chaojun Hu, Fengchun Zhang, Chenxi Liu, Guang Song, Heng Zhu, Yongzhe Li, Liubing Li |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Male
RA rheumatoid arthritis Biochemistry Gastroenterology Autoantigens Analytical Chemistry Serology Dihydropteridine Reductase 0303 health sciences medicine.diagnostic_test biology 030302 biochemistry & molecular biology CRP C-reactive proteins TAK Takayasu arteritis Salivary Proline-Rich Proteins DNA-Binding Proteins Erythrocyte sedimentation rate Rheumatoid arthritis Biomarker (medicine) biomarker Female Antibody Takayasu arteritis Adult medicine.medical_specialty Protein Array Analysis 03 medical and health sciences Young Adult Western blot Internal medicine medicine Humans SLE systemiclupusery thematosus Molecular Biology 030304 developmental biology Autoantibodies Autoimmune disease ESR erythrocyte sedimentation rate SS Sjögren's syndrome business.industry Research Decision Trees Autoantibody medicine.disease protein microarray biology.protein AAV ANCA-associated vasculitis business Biomarkers autoantibody |
Zdroj: | Molecular & Cellular Proteomics : MCP |
ISSN: | 1535-9484 1535-9476 |
Popis: | To identify novel autoantibodies of Takayasu arteritis (TAK) using HuProt array-based approach, a two-phase approach was adopted. In Phase I, serum samples collected from 40 TAK patients, 15 autoimmune disease patients, and 20 healthy subjects were screened to identify TAK-specific autoantibodies using human protein (HuProt) arrays. In phase II, the identified candidate autoantibodies were validated with TAK-focused arrays using an additional cohort comprised of 109 TAK patients, 110 autoimmune disease patients, and 96 healthy subjects. Subsequently, the TAK-specific autoantibodies validated in phase II were further confirmed using western blot analysis. We identified and validated eight autoantibodies as potential TAK-specific diagnostic biomarkers, including anti-SPATA7, -QDPR, -SLC25A2, -PRH2, -DIXDC1, -IL17RB, -ZFAND4, and -NOLC1 antibodies, with AUC of 0.803, 0.801, 0.780, 0.696, 0.695, 0.678, 0.635, and 0.613, respectively. SPATA7 could distinguish TAK from healthy and disease controls with 73.4% sensitivity at 85.4% specificity, while QDPR showed 71.6% sensitivity at 86.4% specificity. SLC25A22 showed the highest sensitivity of 80.7%, but at lower specificity of 67.0%. In addition, PRH2, IL17RB, and NOLC1 showed good specificities of 88.3%, 85.9%, and 86.9%, respectively, but at lower sensitivities ( Graphical Abstract Highlights • HuProt array and TAK-focused arrays were adopted to identify TAK-specific biomarkers. • Eight autoantibodies were identified as potential TAK-specific biomarkers. • The decision tree model could significantly improve biomarker performance. • Anti-SPATA7, -QDPR, and -PRH2 might be potentially adopted in a clinical setting. In Brief A two-phase approach was adopted to identify novel autoantibody biomarkers of Takayasu arteritis (TAK) patients. HuProt array together with a TAK-focused array identified eight novel autoantibodies as TAK-specific biomarker candidates. Of them, the anti-SPATA7, -QDPR, and -PRH2 have the potential to be readily adopted in a clinical setting. |
Databáze: | OpenAIRE |
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