Evidence map›Paper›PMID 26558759›Full record

ArticlePloS one2015

¹H-NMR-Based Metabolomic Study for Identifying Serum Profiles Associated with the Response to Etanercept in Patients with Rheumatoid Arthritis.

Roberta Priori, Luca Casadei, Mariacristina Valerio, Rossana Scrivo, Guido Valesini, Cesare Manetti

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Metabolomics: A Viable Approach to Understand the Pathogenesis of Reactive ArthritisEndocrine, metabolic & immune disorders drug targets · 2026
    Review
  5. Article
  6. Towards Personalized Medicine in Rheumatoid Arthritis.Open access rheumatology : research and reviews · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Pharmacometabolomics by NMR in Oncology: A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

6 authors at 1 institution in 1 country.

Roberta PrioriDepartment of Internal Medicine and Medical Specialties-Rheumatology Unit, Sapienza University of Rome, Rome, Italy.
Luca CasadeiDepartment of Chemistry-Sapienza University of Rome, Rome, Italy.
Mariacristina ValerioDepartment of Chemistry-Sapienza University of Rome, Rome, Italy.
Rossana ScrivoDepartment of Internal Medicine and Medical Specialties-Rheumatology Unit, Sapienza University of Rome, Rome, Italy.
Guido ValesiniDepartment of Internal Medicine and Medical Specialties-Rheumatology Unit, Sapienza University of Rome, Rome, Italy.
Cesare ManettiDepartment of Chemistry-Sapienza University of Rome, Rome, Italy.
Sapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA considerable proportion of patients with rheumatoid arthritis (RA) do not have a satisfactory response to biological therapies. We investigated the use of metabolomics approach to identify biomarkers able to anticipate the response to biologics in RA patients.

methodsDue to gender differences in metabolomic profiling, the analysis was restricted to female patients starting etanercept as the first biological treatment and having a minimum of six months' follow-up. Each patient was evaluated by the same rheumatologist before and after six months of treatment. At this time, the clinical response (good, moderate, none) was determined according to the EUropean League Against Rheumatism (EULAR) criteria, based on both erythrocyte sedimentation rate (EULAR-ESR) and C-reactive protein (EULAR-CRP). Sera collected prior and after six months of etanercept were analyzed by 1H-nuclear magnetic resonance (NMR) spectroscopy in combination with multivariate data analysis.

resultsTwenty-seven patients were enrolled: 18 had a good/moderate response and 9 were non responders according to both EULAR-ESR and EULAR-CRP after six months of etanercept. Metabolomic analysis at baseline was able to discriminate good, moderate, and non-responders with a very good predictivity (Q2 = 0.68) and an excellent sensitivity, specificity, and accuracy (100%). In good responders, we found an increase in isoleucine, leucine, valine, alanine, glutamine, tyrosine, and glucose levels and a decrease in 3-hydroxybutyrate levels after six months of treatment with etanercept with respect to baseline.

conclusionOur study confirms the potential of metabolomic analysis to predict the response to biological agents. Changes in metabolic profiles during treatment may help elucidate their mechanism of action.

Indexed as

MetabolomicsAdultAgedAntirheumatic AgentsArthritis, RheumatoidEtanerceptFemaleHumansMiddle AgedProton Magnetic Resonance SpectroscopyAntirheumatic AgentsEtanercept

Identifiers

PMID26558759
PMCPMC4641599
OpenAlexW2179001806

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LicenceCC BY
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Registered trials

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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.