ArticleArthritis research & therapy2016
Protein oxidation, nitration and glycation biomarkers for early-stage diagnosis of osteoarthritis of the knee and typing and progression of arthritic disease.
Article in Arthritis research & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.
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Who cites it
39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 79 citations in OpenAlex.
- A Review and Meta-Analysis of Biomarkers in Early-Stage Osteoarthritis.Orthopaedic surgery · 2025Pooled it
- Pooled it
- Clinically Relevant Molecular Biomarkers for Use in Human Knee Osteoarthritis: A Systematic Review.Cartilage · 2021Pooled it
- Phytate Decreases Formation of Advanced Glycation End-Products in Patients with Type II Diabetes: Randomized Crossover Trial.Scientific reports · 2018Trial
- Distinct serum and cerebrospinal fluid metabolic signatures associate with pain and fatigue in knee osteoarthritis.Brain, behavior, & immunity - health · 2026Article
- Bioorthogonal Probe BTD-Az Enables Sensitive and Rapid In Vivo Profiling of Protein Cysteine Sulfenylation.Bioconjugate chemistry · 2025Article
- Plasma Glycated and Oxidized Amino Acid-Based Screening Test for Clinical Early-Stage Osteoarthritis.Antioxidants (Basel, Switzerland) · 2025Article
- Knee Osteoarthritis Diagnosis: Future and Perspectives.Biomedicines · 2025Review
- Osteoarthritis.Nature reviews. Disease primers · 2025Review
- Serum CXCL12 and S100A12 levels in peripheral blood fluid and their correlation with severity in patients with knee osteoarthritis.Journal of medical biochemistry · 2025Article
- XGBoost-SHAP-based interpretable diagnostic framework for knee osteoarthritis: a population-based retrospective cohort study.Arthritis research & therapy · 2024Article
- Characterization of aberrant glycosylation associated with osteoarthritis based on integrated glycomics methods.Arthritis research & therapy · 2023Article
- The application of machine learning in early diagnosis of osteoarthritis: a narrative review.Therapeutic advances in musculoskeletal disease · 2023Review
- Analysis of Serum Advanced Glycation Endproducts Reveals Methylglyoxal-Derived Advanced Glycation MG-H1 Free Adduct Is a Risk Marker in Non-Diabetic and Diabetic Chronic Kidney Disease.International journal of molecular sciences · 2022Article
- An Introduction to the Special Issue "Protein Glycation in Food, Nutrition, Health and Disease".International journal of molecular sciences · 2022Article
- Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review.Rheumatology and therapy · 2022Review
- The Role of Reactive Oxygen Species in the Rheumatoid Arthritis-Associated Synovial Microenvironment.Antioxidants (Basel, Switzerland) · 2022Review
- Physiological Overview of the Potential Link between the UPS and CaAntioxidants (Basel, Switzerland) · 2022Review
- AGEomics Biomarkers and Machine Learning-Realizing the Potential of Protein Glycation in Clinical Diagnostics.International journal of molecular sciences · 2022Review
- Antibodies against 4 Atypical Post-Translational Protein Modifications in Patients with Rheumatoid Arthritis.Diagnostics (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is currently no blood-based test for detection of early-stage osteoarthritis (OA) and the anti-cyclic citrullinated peptide (CCP) antibody test for rheumatoid arthritis (RA) has relatively low sensitivity for early-stage disease. Morbidity in arthritis could be markedly decreased if early-stage arthritis could be routinely detected and classified by clinical chemistry test. We hypothesised that damage to proteins of the joint by oxidation, nitration and glycation, and with signatures released in plasma as oxidized, nitrated and glycated amino acids may facilitate early-stage diagnosis and typing of arthritis.
methodsPatients with knee joint early-stage and advanced OA and RA or other inflammatory joint disease (non-RA) and healthy subjects with good skeletal health were recruited for the study (n = 225). Plasma/serum and synovial fluid was analysed for oxidized, nitrated and glycated proteins and amino acids by quantitative liquid chromatography-tandem mass spectrometry. Data-driven machine learning methods were employed to explore diagnostic utility of the measurements for detection and classifying early-stage OA and RA, non-RA and good skeletal health with training set and independent test set cohorts.
resultsGlycated, oxidized and nitrated proteins and amino acids were detected in synovial fluid and plasma of arthritic patients with characteristic patterns found in early and advanced OA and RA, and non-RA, with respect to healthy controls. In early-stage disease, two algorithms for consecutive use in diagnosis were developed: (1) disease versus healthy control, and (2) classification as OA, RA and non-RA. The algorithms featured 10 damaged amino acids in plasma, hydroxyproline and anti-CCP antibody status. Sensitivities/specificities were: (1) good skeletal health, 0.92/0.91; (2) early-stage OA, 0.92/0.90; early-stage RA, 0.80/0.78; and non-RA, 0.70/0.65 (training set). These were confirmed in independent test set validation. Damaged amino acids increased further in severe and advanced OA and RA.
conclusionsOxidized, nitrated and glycated amino acids combined with hydroxyproline and anti-CCP antibody status provided a plasma-based biochemical test of relatively high sensitivity and specificity for early-stage diagnosis and typing of arthritic disease.
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