ArticleAnnals of the rheumatic diseases2020
Differences in the serum metabolome and lipidome identify potential biomarkers for seronegative rheumatoid arthritis versus psoriatic arthritis.
Article in Annals of the rheumatic diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 3 of them syntheses that pooled it.
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Who cites it
65 citing papers in PubMed, 3 syntheses or guidelines pooled it, 122 citations in OpenAlex.
- Immunometabolic crosstalk in knee osteoarthritis: a bibliometric and translational analysis (2000-2025).Frontiers in immunology · 2026Pooled it
- Biomarkers in psoriatic arthritis: A meta-analysis and systematic review.Frontiers in immunology · 2022Pooled it
- The Effectiveness and Safety of Probiotic Supplements for Psoriasis: A Systematic Review and Meta-Analysis of Randomized Controlled Trials and Preclinical Trials.Journal of immunology research · 2021Pooled it
- Lipid metabolism in homeostasis and disease.Signal transduction and targeted therapy · 2026Review
- The immunometabolic tipping point: forecasting the systemic shift from psoriasis to psoriatic arthritis.Frontiers in immunology · 2026Review
- The metabolomic profile of psoriatic arthritis patients unveils the unbalance of disease-related molecules and pathways.Scientific reports · 2025Article
- Development and multi-center validation of machine learning models based on targeted metabolomics for rheumatoid arthritis.Journal of translational medicine · 2025Article
- Microbiological and Metabolomic Analysis of Biomarkers for Grades A and B in Stage II Periodontitis.Inflammation · 2025Article
- GRK2-mediated phosphorylation and de-succinylation of PKM2 reduce macrophage glycolysis in rheumatoid arthritis.Acta pharmacologica Sinica · 2025Article
- Metabolomics in spondylarthritis.BMC rheumatology · 2025Article
- Rheumatoid arthritis patients' perspective on the use of prediction models in clinical decision-making.Rheumatology (Oxford, England) · 2025Article
- Dysregulation of amino acid and lipid metabolism in patients with spondyloarthritis.The Journal of international medical research · 2025Observational
- Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis.Therapeutic advances in musculoskeletal disease · 2025Review
- Identification of amino acids metabolomic profiling in human plasma distinguishes lupus nephritis from systemic lupus erythematosus.Amino acids · 2024Article
- Synovial 5-Lipoxygenase-Derived Oxylipins Define a Lympho-Myeloid-Enriched Synovium.Arthritis & rheumatology (Hoboken, N.J.) · 2024Article
- Altered serum metabolome as an indicator of paraneoplasia or concomitant cancer in patients with rheumatic disease.Annals of the rheumatic diseases · 2024Article
- Casual relationships between circulating metabolites and rheumatoid arthritis: A mendelian randomization study.Heliyon · 2024Article
- Causal relationship between serum metabolites and juvenile idiopathic arthritis: a mendelian randomization study.Pediatric rheumatology online journal · 2024Article
- Does Eta Protein Differentiate Rheumatoid Arthritis from Psoriatic Arthritis?Current medicinal chemistry · 2024Article
- Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe differential diagnosis of seronegative rheumatoid arthritis (negRA) and psoriasis arthritis (PsA) is often difficult due to the similarity of symptoms and the unavailability of reliable clinical markers. Since chronic inflammation induces major changes in the serum metabolome and lipidome, we tested whether differences in serum metabolites and lipids could aid in improving the differential diagnosis of these diseases.
methodsSera from negRA and PsA patients with established diagnosis were collected to build a biomarker-discovery cohort and a blinded validation cohort. Samples were analysed by proton nuclear magnetic resonance. Metabolite concentrations were calculated from the spectra and used to select the variables to build a multivariate diagnostic model.
resultsUnivariate analysis demonstrated differences in serological concentrations of amino acids: alanine, threonine, leucine, phenylalanine and valine; organic compounds: acetate, creatine, lactate and choline; and lipid ratios L3/L1, L5/L1 and L6/L1, but yielded area under the curve (AUC) values lower than 70%, indicating poor specificity and sensitivity. A multivariate diagnostic model that included age, gender, the concentrations of alanine, succinate and creatine phosphate and the lipid ratios L2/L1, L5/L1 and L6/L1 improved the sensitivity and specificity of the diagnosis with an AUC of 84.5%. Using this biomarker model, 71% of patients from a blinded validation cohort were correctly classified.
conclusionsPsA and negRA have distinct serum metabolomic and lipidomic signatures that can be used as biomarkers to discriminate between them. After validation in larger multiethnic cohorts this diagnostic model may become a valuable tool for a definite diagnosis of negRA or PsA patients.
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