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

Highlights

  • IntroductionIn newly diagnosed rheumatoid arthritis (RA) patients, networks of coexpressed genes and proteomic biomarkers associated with achieving sustained drug-free remission (sDFR) after treatment with tocilizumab- or methotrexate-based strategies

  • We previously identified, in newly diagnosed rheumatoid arthritis (RA) patients, networks of coexpressed genes and proteomic biomarkers associated with achieving sustained drug-free remission after treatment with tocilizumab- or methotrexate-based strategies

  • The mean (SD) age of all patients was 53 (14) years with a median (IQR) symptom duration of 23 (18–40) days; the majority was seropositive for rheumatoid factor (60%) or cyclic citrullinated peptide (60%)

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Summary

Introduction

In newly diagnosed rheumatoid arthritis (RA) patients, networks of coexpressed genes and proteomic biomarkers associated with achieving sustained drug-free remission (sDFR) after treatment with tocilizumab- or methotrexate-based strategies. Predictors are needed for treatment response to the currently recommended conventional DMARDs, and for identifying patients for whom it would be favorable to initiate, as first therapy, a step-down biological-based strategy (i.e. tapering and discontinuing treatment) as achieving remission in the early stage of the disease improves the long-term clinical outcome. In RA, metabolites are of particular interest as widespread cytokine-mediated inflammatory processes alter the cellular metabolism, when macrophages and lymphocytes become activated [13] The role of these compounds in biomarker discovery has been demonstrated previously, suggesting that metabolic analysis is potentially valuable in identifying markers for treatment response in patients with RA [14,15,16,17]

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