Trial reportArthritis research & therapy2018
Baseline metabolic profiles of early rheumatoid arthritis patients achieving sustained drug-free remission after initiating treat-to-target tocilizumab, methotrexate, or the combination: insights from systems biology.
Trial report in Arthritis research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01034137 (U-ACT-EARLY), which is not on this map. Cited by 26 papers.
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.
U-ACT-EARLY: A Multi-center, Randomized, Double Blind, Placebo Controlled Study to Evaluate Remission in DMARD and Biological naïve Early Rheumatoid Arthritis (RA) Subjects Treated With Tocilizumab (TCZ) Plus Tight Control Methotrexate (MTX) , TCZ Monotherapy or Tight Control MTX Monotherapy
Who cites it
26 citing papers in PubMed, 36 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
- Metabolic determinants of cancer immunotherapy outcomes identified by plasma profiling.Nature medicine · 2026Article
- Untargeted metabolomics reveals immune-metabolic signatures in established cases of rheumatoid arthritis.Frontiers in molecular biosciences · 2026Article
- Plasma metabolomic and lipidomic signatures characteristic of treatment non-response in rheumatoid arthritis.Frontiers in immunology · 2026Article
- Metabolomics: A Viable Approach to Understand the Pathogenesis of Reactive ArthritisEndocrine, metabolic & immune disorders drug targets · 2026Review
- AI-Assisted Plasmonic Diagnostics Platform for Osteoarthritis and Rheumatoid Arthritis With Biomarker Quantification Using Mathematical Models.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Towards Personalized Medicine in Rheumatoid Arthritis.Open access rheumatology : research and reviews · 2024Review
- Serum metabolomic profiling identifies potential biomarkers in arthritis in older adults: an exploratory study.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- Plasma metabolomic profiling as a tool to identify predictive biomarkers of methotrexate efficacy in rheumatoid arthritis.Seminars in arthritis and rheumatism · 2022Article
- Mechanisms underlying DMARD inefficacy in difficult-to-treat rheumatoid arthritis: a narrative review with systematic literature search.Rheumatology (Oxford, England) · 2022Review
- Metabolomics of Synovial Fluid and Infrapatellar Fat Pad in Patients with Osteoarthritis or Rheumatoid Arthritis.Inflammation · 2022Article
- A Review of Metabolomic Profiling in Rheumatoid Arthritis: Bringing New Insights in Disease Pathogenesis, Treatment and Comorbidities.Metabolites · 2022Review
- The change of plasma metabolic profile and gut microbiome dysbiosis in patients with rheumatoid arthritis.Frontiers in microbiology · 2022Article
- Metabolites and metabolic pathways associated with rheumatoid arthritis and systemic lupus erythematosus.Journal of translational autoimmunity · 2022Article
- Metabolomics in rheumatoid arthritis: Advances and review.Frontiers in immunology · 2022Review
- Association of the characteristics of the blood metabolome and gut microbiome with the outcome of methotrexate therapy in psoriasis.Frontiers in immunology · 2022Article
- Metabolomics profiling predicts outcome of tocilizumab in rheumatoid arthritis: an exploratory study.Metabolomics : Official journal of the Metabolomic Society · 2021Article
- Plasma metabolomic profiling in patients with rheumatoid arthritis identifies biochemical features predictive of quantitative disease activity.Arthritis research & therapy · 2021Article
- Network analysis indicating the pharmacological mechanism of Yunpi-Qufeng-Chushi-prescription in prophylactic treatment of rheumatoid arthritis.BMC complementary medicine and therapies · 2021Article
- Approaches to Integrating Metabolomics and Multi-Omics Data: A Primer.Metabolites · 2021Review
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe previously identified, in newly diagnosed rheumatoid arthritis (RA) patients, networks of co-expressed genes and proteomic biomarkers associated with achieving sustained drug-free remission (sDFR) after treatment with tocilizumab- or methotrexate-based strategies. The aim of this study was to identify, within the same patients, metabolic pathways important for achieving sDFR and to subsequently study the complex interactions between different components of the biological system and how these interactions might affect the therapeutic response in early RA.
methodsSerum samples were analyzed of 60 patients who participated in the U-Act-Early trial (ClinicalTrials.gov number NCT01034137) and initiated treatment with methotrexate, tocilizumab, or the combination and who were thereafter able to achieve sDFR (n = 37); as controls, patients were selected who never achieved a drug-free status (n = 23). Metabolomic measurements were performed using mass spectrometry on oxidative stress, amine, and oxylipin platforms covering various compounds. Partial least square discriminant analyses (PLSDA) were performed to identify, per strategy arm, relevant metabolites of which the biological pathways were studied. In addition, integrative analyses were performed correlating the previously identified transcripts and proteins with the relevant metabolites.
resultsIn the tocilizumab plus methotrexate, tocilizumab, and methotrexate strategy, respectively, 19, 13, and 12 relevant metabolites were found, which were subsequently used for pathway analyses. The most significant pathway in the tocilizumab plus methotrexate strategy was "histidine metabolism" (p < 0.001); in the tocilizumab strategy it was "arachidonic acid metabolism" (p = 0.018); and in the methotrexate strategy it was "arginine and proline metabolism" (p = 0.022). These pathways have treatment-specific drug interactions with metabolites affecting either the signaling of interleukin-6, which is inhibited by tocilizumab, or affecting protein synthesis from amino acids, which is inhibited by methotrexate.
conclusionIn early RA patients treated-to-target with a tocilizumab- or methotrexate-based strategy, several metabolites were found to be associated with achieving sDFR. In line with our previous observations, by analyzing relevant transcripts and proteins within the same patients, the metabolic profiles were found to be different between the strategy arms. Our metabolic analysis further supports the hypothesis that achieving sDFR is not only dependent on predisposing biomarkers, but also on the specific treatment that has been initiated.
trial registrationClinicalTrials.gov, NCT01034137 . Registered on January 2010.
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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.