Evidence map›Paper›PMID 23460124›Full record

ArticleArthritis and rheumatism2013

Metabolic profiling predicts response to anti-tumor necrosis factor α therapy in patients with rheumatoid arthritis.

Sabrina R Kapoor, Andrew Filer, Martin A Fitzpatrick, Benjamin A Fisher, Peter C Taylor, Christopher D Buckley, Iain B McInnes, Karim Raza, Stephen P Young

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Arthritis and rheumatism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02878161 (Screening Protein Predictive of Response to Tumor Necrosis Factor-α Inhibitors Treatment in Chinese Rheumatoid Arthritis From "Real World" and Investigating Its Mechanism Through Signal Pathway), which is not on this map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT02878161 phase4unknown statusnot on this mapstarted 2016, after this paper: background citation

Screening Protein Predictive of Response to Tumor Necrosis Factor-α Inhibitors Treatment in Chinese Rheumatoid Arthritis From "Real World" and Investigating Its Mechanism Through Signal Pathway

TypeinterventionalSponsorFen LiRan2016 to 2019Enrolled240ConditionsRheumatoid ArthritisArmsmethotrexate(necessary), infliximab, etanercept, adalimumab, leflunomide (permitted, not necessary)
3 · Its place in the literature

Who cites it

80 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Towards Personalized Medicine in Rheumatoid Arthritis.Open access rheumatology : research and reviews · 2024
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. International journal of molecular sciences · 2022
    Article
  18. Metabolites as drivers and targets in rheumatoid arthritis.Clinical and experimental immunology · 2022
    Article
  19. Review
  20. Review

20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sabrina R KapoorUniversity of Birmingham and the Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK.
Andrew Filer
Martin A Fitzpatrick
Benjamin A Fisher
Peter C Taylor
Christopher D Buckley
Iain B McInnes
Karim Raza
Stephen P Young

Funding

Arthritis Research UK 18552Arthritis Research UK 19791Medical Research Council MR/K00414X/1Versus Arthritis 18552Versus Arthritis 20088Wellcome Trust 066490/Z/01/AWellcome Trust 14844
6 · The paper itself

Abstract

objectiveAnti-tumor necrosis factor (anti-TNF) therapies are highly effective in rheumatoid arthritis (RA) and psoriatic arthritis (PsA), but a significant number of patients exhibit only a partial or no therapeutic response. Inflammation alters local and systemic metabolism, and TNF plays a role in this. We undertook this study to determine if the patient's metabolic fingerprint prior to therapy could predict responses to anti-TNF agents.

methodsUrine was collected from 16 RA patients and 20 PsA patients before and during therapy with infliximab or etanercept. Urine metabolic profiles were assessed using nuclear magnetic resonance spectroscopy. Discriminating metabolites were identified, and the relationship between metabolic profiles and clinical outcomes was assessed.

resultsBaseline urine metabolic profiles discriminated between RA patients who did or did not have a good response to anti-TNF therapy according to European League Against Rheumatism criteria, with a sensitivity of 88.9% and a specificity of 85.7%, with several metabolites contributing (in particular histamine, glutamine, xanthurenic acid, and ethanolamine). There was a correlation between baseline metabolic profiles and the magnitude of change in the Disease Activity Score in 28 joints from baseline to 12 months in RA patients (P = 0.04). In both RA and PsA, urinary metabolic profiles changed between baseline and 12 weeks of anti-TNF therapy. Within the responders, urinary metabolite changes distinguished between etanercept and infliximab treatment.

conclusionThe clear relationship between urine metabolic profiles of RA patients at baseline and their response to anti-TNF therapy may allow development of novel approaches to the optimization of therapy. Differences in metabolic profiles during treatment with infliximab and etanercept in RA and PsA may reflect distinct mechanisms of action.

Indexed as

MetabolomeAdultAgedAntibodies, MonoclonalAntirheumatic AgentsArthritis, RheumatoidEnglandEtanerceptFemaleHumansImmunoglobulin GInfliximabMagnetic Resonance SpectroscopyMaleMetabolomicsMiddle AgedAntibodies, MonoclonalAntirheumatic AgentsEtanerceptImmunoglobulin GInfliximabReceptors, Tumor Necrosis FactorTumor Necrosis Factor-alpha

Identifiers

PMID23460124
PMCPMC3715109

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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.