Analysis of Autoantibody Profiles in Osteoarthritis Using Comprehensive Protein Array Concepts

Osteoarthritis (OA) is the most common rheumatic disease and one of the most disabling pathologies worldwide. To date, the diagnostic methods of OA are very limited, and there are no available medications capable of halting its characteristic cartilage degeneration. Therefore, there is a significant...

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Bibliographic Details
Published in:Journal of proteome research 2014-11, Vol.13 (11), p.5218-5229
Main Authors: Henjes, Frauke, Lourido, Lucı́a, Ruiz-Romero, Cristina, Fernández-Tajes, Juan, Schwenk, Jochen M, Gonzalez-Gonzalez, María, Blanco, Francisco J, Nilsson, Peter, Fuentes, Manuel
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Amino Acid Sequence
Arthritis, Rheumatoid - blood
Arthritis, Rheumatoid - immunology
Autoantibodies - blood
autoantibody profiles
Biomarkers - blood
Case-Control Studies
Enzyme-Linked Immunosorbent Assay - methods
Female
Humans
Male
Middle Aged
Molecular Sequence Data
NAPPA
osteoarthritis
Osteoarthritis - immunology
Protein Array Analysis - methods
Protein microarrays
Reproducibility of Results
Sulfotransferases - immunology
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Summary:Osteoarthritis (OA) is the most common rheumatic disease and one of the most disabling pathologies worldwide. To date, the diagnostic methods of OA are very limited, and there are no available medications capable of halting its characteristic cartilage degeneration. Therefore, there is a significant interest in new biomarkers useful for the early diagnosis, prognosis, and therapeutic monitoring. In the recent years, protein microarrays have emerged as a powerful proteomic tool to search for new biomarkers. In this study, we have used two concepts for generating protein arrays, antigen microarrays, and NAPPA (nucleic acid programmable protein arrays), to characterize differential autoantibody profiles in a set of 62 samples from OA, rheumatoid arthritis (RA), and healthy controls. An untargeted screen was performed on 3840 protein fragments spotted on planar antigen arrays, and 373 antigens were selected for validation on bead-based arrays. In the NAPPA approach, a targeted screening was performed on 80 preselected proteins. The autoantibody targeting CHST14 was validated by ELISA in the same set of patients. Altogether, nine and seven disease related autoantibody target candidates were identified, and this work demonstrates a combination of these two array concepts for biomarker discovery and their usefulness for characterizing disease-specific autoantibody profiles.
ISSN:1535-3893
1535-3907
1535-3907
DOI:10.1021/pr500775a