ArticleJournal of translational medicine2021
Serum metabolomic and lipidomic profiling identifies diagnostic biomarkers for seropositive and seronegative rheumatoid arthritis patients.
Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- Disease activity and treatment response in early rheumatoid arthritis: an exploratory metabolomic profiling in the NORD-STAR cohort.Arthritis research & therapy · 2025Trial
- Multimodal Integration of Protein Interactomes With Genomic and Molecular Data Discovers Distinct Rheumatoid Arthritis Endotypes.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Towards spatial lipid profiling by using mass spectrometry: analytical challenges and applications.Analytical and bioanalytical chemistry · 2026Review
- Discovery of biomarkers for primary Sj ögren's syndrome based on multi-omics data, construction of diagnostic models, and clinical correlation analysis.Arthritis research & therapy · 2026Article
- MMP3C v2: a network-based framework decoding metabolic plasticity in rheumatoid arthritis, enabling accurate diagnosis and uncovering cell-type-specific metabolic rewiring.Briefings in bioinformatics · 2026Article
- Identifying AIM2 Circulating Methylation Levels as a Novel Diagnostic Biomarker for Rheumatoid Arthritis Using Targeted DNA Methylation Sequencing.Endocrine, metabolic & immune disorders drug targets · 2026Article
- Immunometabolism in rheumatoid arthritis: mechanisms, biomarkers, and the path to precision medicine.Frontiers in immunology · 2026Review
- Fatty Acid Metabolic Reprogramming in Rheumatoid Arthritis: Integrating Inflammation, Resolution Failure, and Joint Destruction.Journal of inflammation research · 2026Review
- Metabolites From Salivary Exosomes as Potential Biomarkers for Alveolar Bone and Tooth Resorption.Orthodontics & craniofacial research · 2025Article
- Unveiling the pharmacological mechanisms of Spirulina platensis in rheumatoid arthritis rats through the integration of serum metabolomics, pathways analysis, and experimental validation.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Article
- Unraveling the Molecular Links between Fine Particulate Matter Exposure and Early Birth Risks in African American Mothers: A Metabolomics Study in the Atlanta African American Maternal-Child Cohort.Environmental science & technology · 2025Article
- Targeted Detection of 76 Carnitine Indicators Combined with a Machine Learning Algorithm Based on HPLC-MS/MS in the Diagnosis of Rheumatoid Arthritis.Metabolites · 2025Article
- Novel predictive biomarkers for atonic postpartum hemorrhage as explored by proteomics and metabolomics.BMC pregnancy and childbirth · 2025Article
- Machine learning combined multi-omics analysis to explore key oxidative stress features in systemic lupus erythematosus.Frontiers in immunology · 2025Article
- Indolelactic acid as a potential metabolic biomarker for diagnosing gout.Experimental and therapeutic medicine · 2024Article
- Artificial Intelligence in Metabolomics: A Current Review.Trends in analytical chemistry : TRAC · 2024Article
- Relationship Between the Lipidome Profile and Disease Activity in Patients with Rheumatoid Arthritis.Inflammation · 2024Article
- Synovial 5-Lipoxygenase-Derived Oxylipins Define a Lympho-Myeloid-Enriched Synovium.Arthritis & rheumatology (Hoboken, N.J.) · 2024Article
- Casual relationships between circulating metabolites and rheumatoid arthritis: A mendelian randomization study.Heliyon · 2024Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
backgroundDiagnosing seronegative rheumatoid arthritis (RA) can be challenging due to complex diagnostic criteria. We sought to discover diagnostic biomarkers for seronegative RA cases by studying metabolomic and lipidomic changes in RA patient serum.
methodsWe performed comprehensive metabolomic and lipidomic profiling in serum of 225 RA patients and 100 normal controls. These samples were divided into a discovery set (n = 243) and a validation set (n = 82). A machine-learning-based multivariate classification model was constructed using distinctive metabolites and lipids signals.
resultsTwenty-six metabolites and lipids were identified from the discovery cohort to construct a RA diagnosis model. The model was subsequently tested on a validation set and achieved accuracy of 90.2%, with sensitivity of 89.7% and specificity of 90.6%. Both seropositive and seronegative patients were identified using this model. A co-occurrence network using serum omics profiles was built and parsed into six modules, showing significant association between the inflammation and immune activity markers and aberrant metabolism of energy metabolism, lipids metabolism and amino acid metabolism. Acyl carnitines (20:3), aspartyl-phenylalanine, pipecolic acid, phosphatidylethanolamine PE (18:1) and lysophosphatidylethanolamine LPE (20:3) were positively correlated with the RA disease activity, while histidine and phosphatidic acid PA (28:0) were negatively correlated with the RA disease activity.
conclusionsA panel of 26 serum markers were selected from omics profiles to build a machine-learning-based prediction model that could aid in diagnosing seronegative RA patients. Potential markers were also identified in stratifying RA cases based on disease activity.
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