ArticlePloS one2019
Metabolomic approach to the exploration of biomarkers associated with disease activity in rheumatoid arthritis.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 77 citations in OpenAlex.
- Disease activity and treatment response in early rheumatoid arthritis: an exploratory metabolomic profiling in the NORD-STAR cohort.Arthritis research & therapy · 2025Trial
- Differential physiological responses to electroacupuncture at ST36 and SP6 in CFA-induced inflammatory arthritis: serum metabolomic evidence for acupoint-specific redox regulation.The journal of physiological sciences : JPS · 2026Article
- Explainable Boosting Machines Identify Key Metabolomic Biomarkers in Rheumatoid Arthritis.Medicina (Kaunas, Lithuania) · 2025Article
- Article
- Metabolite Alterations in Autoimmune Diseases: A Systematic Review of Metabolomics Studies.Metabolites · 2023Review
- Urinary metabolomic biomarker candidates for skeletal muscle wasting in patients with rheumatoid arthritis.Journal of cachexia, sarcopenia and muscle · 2023Article
- Multi-omics profiling reveals potential alterations in rheumatoid arthritis with different disease activity levels.Arthritis research & therapy · 2023Article
- Metabolic Profiling of Rheumatoid Arthritis Neutrophils Reveals Altered Energy Metabolism That Is Not Affected by JAK Inhibition.Metabolites · 2022Article
- Multi-omics profiling of collagen-induced arthritis mouse model reveals early metabolic dysregulation via SIRT1 axis.Scientific reports · 2022Article
- Metabolic Profiling in Rheumatoid Arthritis, Psoriatic Arthritis, and Psoriasis: Elucidating Pathogenesis, Improving Diagnosis, and Monitoring Disease Activity.Journal of personalized medicine · 2022Review
- A Review of Metabolomic Profiling in Rheumatoid Arthritis: Bringing New Insights in Disease Pathogenesis, Treatment and Comorbidities.Metabolites · 2022Review
- Serine, N-acetylaspartate differentiate adolescents with juvenile idiopathic arthritis compared with healthy controls: a metabolomics cross-sectional study.Pediatric rheumatology online journal · 2022Article
- Metabolites and metabolic pathways associated with rheumatoid arthritis and systemic lupus erythematosus.Journal of translational autoimmunity · 2022Article
- Current applications of capillary electrophoresis-mass spectrometry for the analysis of biologically important analytes in urine (2017 to mid-2021): A review.Journal of separation science · 2022Review
- Article
- Serum metabolomic and lipidomic profiling identifies diagnostic biomarkers for seropositive and seronegative rheumatoid arthritis patients.Journal of translational medicine · 2021Article
- Circulatory histidine levels as predictive indicators of disease activity in takayasu arteritis.Analytical science advances · 2021Article
- Metabolomic Biomarker Candidates for Skeletal Muscle Loss in the Collagen-Induced Arthritis (CIA) Model.Journal of personalized medicine · 2021Article
- Adenosine deaminase modulates metabolic remodeling and orchestrates joint destruction in rheumatoid arthritis.Scientific reports · 2021Article
- Plasma metabolomic profiling in patients with rheumatoid arthritis identifies biochemical features predictive of quantitative disease activity.Arthritis research & therapy · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to investigate metabolites associated with the 28-joint disease activity score based on erythrocyte sedimentation rate (DAS28-ESR) in patients with rheumatoid arthritis (RA) using capillary electrophoresis quadrupole time-of-flight mass spectrometry. Plasma and urine samples were collected from 32 patients with active RA (DAS28-ESR≥3.2) and 17 with inactive RA (DAS28-ESR<3.2). We found 15 metabolites in plasma and 20 metabolites in urine which showed a significant but weak positive or negative correlation with DAS28-ESR. When metabolites between active and inactive patients were compared, 9 metabolites in plasma and 15 in urine were found to be significantly different. Consequently, we selected 11 metabolites in plasma and urine as biomarker candidates which significantly correlated positively or negatively with DAS28-ESR, and significantly differed between active and inactive patients. When a multiple logistic regression model was built to discriminate active and inactive cohorts, three variables-histidine and guanidoacetic acid from plasma and hypotaurine from urine-generated a high area under the receiver operating characteristic (ROC) curve value (AUC = 0.8934). Thus, this metabolomics approach appeared to be useful for investigating biomarkers of RA. Combination of plasma and urine analysis may lead to more precise and reliable understanding of the disease condition. We also considered the pathophysiological significance of the found biomarker candidates.
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