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
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