ArticleAnnals of the rheumatic diseases2019
Discovery of an autoantibody signature for the early diagnosis of knee osteoarthritis: data from the Osteoarthritis Initiative.
Article in Annals of the rheumatic diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 46 citations in OpenAlex.
- Systemic and local autoantibody responses to extracellular matrix proteins define inflammatory phenotypes across arthropathies.Rheumatology (Oxford, England) · 2026Article
- Discrepant treponemal test results: Identification of associated risk factors through machine learning technology in 18-year electronic medical records and national claims data.Biomedical journal · 2026Article
- Observational
- The role of the immune system in osteoarthritis: mechanisms, challenges and future directions.Nature reviews. Rheumatology · 2025Review
- Identification of shared key genes and pathways in osteoarthritis and sarcopenia patients based on bioinformatics analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integration.Annals of the rheumatic diseases · 2024Article
- Lysosomal destabilization: A missing link between pathological calcification and osteoarthritis.Bioactive materials · 2024Article
- Article
- The Effect of the Mixed Extract ofCurrent issues in molecular biology · 2023Article
- Synovial joint-on-a-chip for modeling arthritis: progress, pitfalls, and potential.Trends in biotechnology · 2023Review
- Article
- Mass spectrometry-based proteomics identify novel serum osteoarthritis biomarkers.Arthritis research & therapy · 2022Article
- Identification and verification of ferroptosis-related genes in the synovial tissue of osteoarthritis using bioinformatics analysis.Frontiers in molecular biosciences · 2022Article
- A four-genes based diagnostic signature for osteoarthritis.Rheumatology international · 2021Article
- Diagnosis of early stage knee osteoarthritis based on early clinical course: data from the CHECK cohort.Arthritis research & therapy · 2021Article
- Lithographic Processes for the Scalable Fabrication of Micro- and Nanostructures for Biochips and Biosensors.ACS sensors · 2021Review
- Review
- Poor Clearance of Free Hemoglobin Due to Lower Active Haptoglobin Availability is Associated with Osteoarthritis Inflammation.Journal of inflammation research · 2021Article
- Nucleic Acid Programmable Protein Arrays (NAPPA) for the Discovery of Autoantibodies in Osteoarthritis.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Efficacy of Methotrexate on Rat Knee Osteoarthritis Induced by Monosodium Iodoacetate.Journal of inflammation research · 2021Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo find autoantibodies (AAbs) in serum that could be useful to predict incidence of radiographic knee osteoarthritis (KOA).
designA Nucleic-acid Programmable Protein Arrays (NAPPA) platform was used to screen AAbs against 2125 human proteins in sera at baseline from participants free of radiographic KOA belonging to the incidence and non-exposed subcohorts of the Osteoarthritis Initiative (OAI) who developed or not, radiographic KOA during a follow-up period of 96 months. NAPPA-ELISA were performed to analyse reactivity against methionine adenosyltransferase two beta (MAT2β) and verify the results in 327 participants from the same subcohorts. The association of MAT2β-AAb levels with KOA incidence was assessed by combining several robust biostatistics analysis (logistic regression, Receiver Operating Characteristic and Kaplan-Meier curves). The proposed prognostic model was replicated in samples from the progression subcohort of the OAI.
resultsIn the screening phase, six AAbs were found significantly different at baseline in samples from incident compared with non-incident participants. In the verification phase, high levels of MAT2β-AAb were significantly associated with the future incidence of KOA and with an earlier development of the disease. The incorporation of this AAb in a clinical model for the prognosis of incident radiographic KOA significantly improved the identification/classification of patients who will develop the disorder. The usefulness of the model to predict radiographic KOA was confirmed on a different OAI subcohort.
conclusionsThe measurement of AAbs against MAT2β in serum might be highly useful to improve the prediction of OA development, and also to estimate the time to incidence.
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