ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
A Longitudinal Study Reveals Metabolomic Markers for Individuals at Risk, Disease Severity, and Treatment Response in Rheumatoid Arthritis.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of multi-omics in systemic autoimmune rheumatic diseases: a bibliometric and visualization analysis.Frontiers in immunology · 2026Pooled it
- Multi-omics-driven precision medicine.iMeta · 2026Review
- Discovery of Novel NMR-Based Biomarkers and Interpretable Machine Learning Models for Risk Prediction of Rheumatoid Arthritis.Metabolites · 2026Article
- Immunoengineering in the field of tendon and bone regeneration: immunomodulatory biomaterials, delivery platforms, and preclinical models for chronic diseases.Frontiers in bioengineering and biotechnology · 2026Review
- Smart Polymer Nanoparticles: Targeting Macrophages/Fibroblasts and Modulating the Microenvironment for Rheumatoid Arthritis Therapy.International journal of nanomedicine · 2026Review
- Review
- Nanobiosensors for Rheumatoid Arthritis Biomarkers: Advances and Clinical Translational Potential.International journal of nanomedicine · 2026Review
- A Longitudinal Study Reveals Metabolomic Markers for Individuals at Risk, Disease Severity, and Treatment Response in Rheumatoid Arthritis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
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Authors and funding
22 authors.
Funding
Abstract
Rheumatoid arthritis (RA) is a systemic inflammatory joint disease characterized by heterogeneous clinical manifestations, which requires deeper exploration in identifying reliable biomarkers for early diagnosis, monitoring, and treatment assessment. The aim is to discover plasma metabolomic markers to predict RA onset, assess disease activity, and forecast treatment efficacy. The study includes 209 established RA patients who are disease-modifying antirheumatic drugs-free for six months prior to enrollment, with 197 of them followed for 3-6 months to assess treatment response. Additionally, 56 individuals at risk are recruited, with 34 completing a 5-7-year follow-up. Analysis reveals that metabolites related to methylation and redox imbalance, such as S-adenosylmethionine, sarcosine, nicotinamide adenine dinucleotide, glutathione, etc., are associated with RA development and severity, and contribute to its heterogeneity across age, sex, and anti-citrullinated protein autoantibody status. Ridge regression models are constructed using metabolite and clinical features for the response to methotrexate (MTX) plus leflunomide, achieving an average receiver operating characteristic (ROC) score of 0.83, and for the MTX plus hydroxychloroquine, achieving an average ROC score of 0.92. In conclusion, our findings reveal RA metabolomic alterations, aiding early diagnosis and treatment response.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.