Evidence map›Paper›PMID 30075744›Full record

ArticleArthritis research & therapy2018

Serum metabolomic profiling predicts synovial gene expression in rheumatoid arthritis.

Rekha Narasimhan, Roxana Coras, Sara B Rosenthal, Shannon R Sweeney, Alessia Lodi, Stefano Tiziani, David Boyle, Arthur Kavanaugh, Monica Guma

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

28 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
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 at 2 institutions in 2 countries.

Rekha NarasimhanDivision of Rheumatology, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA.
Roxana CorasDivision of Rheumatology, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA.
Sara B RosenthalCenter for Computational Biology and Bioinformatics, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA.
Shannon R SweeneyDepartment of Nutritional Sciences & Dell Pediatric Research Institute, Dell Medical School, University of Texas at Austin, 1400 Barbara Jordan Blvd, Austin, TX, USA.
Alessia LodiDepartment of Nutritional Sciences & Dell Pediatric Research Institute, Dell Medical School, University of Texas at Austin, 1400 Barbara Jordan Blvd, Austin, TX, USA.
Stefano TizianiDepartment of Nutritional Sciences & Dell Pediatric Research Institute, Dell Medical School, University of Texas at Austin, 1400 Barbara Jordan Blvd, Austin, TX, USA.
David BoyleDivision of Rheumatology, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA.
Arthur KavanaughDivision of Rheumatology, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA.
Monica GumaDivision of Rheumatology, University of California, San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA. mguma@ucsd.edu.ORCID 0000-0003-1951-9411
University of California San Diego · USUniversitat Autònoma de Barcelona · ES

Funding

Choline kinase: a novel target for rheumatoid arthritisK08AR064834 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GUMA, MONICA · 2013 to 2017
$687k
Choline metabolites as biomarkers in rheumatoid arthritisR03AR068094 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GUMA, MONICA · 2015 to 2018
$233k
NIAMS NIH HHS K08 AR064834NIAMS NIH HHS R03 AR068094
6 · The paper itself

Abstract

backgroundMetabolomics is an emerging field of biomedical research that may offer a better understanding of the mechanisms of underlying conditions including inflammatory arthritis. Perturbations caused by inflamed synovial tissue can lead to correlated changes in concentrations of certain metabolites in the synovium and thereby function as potential biomarkers in blood. Here, we explore the hypothesis of whether characterization of patients' metabolomic profiles in blood, utilizing

methodsNineteen active, seropositive patients with RA, on concomitant methotrexate, were studied. One of the involved joints was a knee or a wrist appropriate for arthroscopy. A Bruker Avance 700 MHz spectrometer was used to acquire NMR spectra of serum samples. Gene expression in synovial tissue obtained by arthroscopy was analyzed by real-time PCR. Data processing and statistical analysis were performed in Python and SPSS.

resultsAnalysis of the relationships between each synovial marker-metabolite pair using linear regression and controlling for age and gender revealed significant clustering within the data. We observed an association of serine/glycine/phenylalanine metabolism and aminoacyl-tRNA biosynthesis with lymphoid cell gene signature. Alanine/aspartate/glutamate metabolism and choline-derived metabolites correlated with TNF-α synovial expression. Circulating ketone bodies were associated with gene expression of synovial metalloproteinases. Discriminant analysis identified serum metabolites that classified patients according to their synovial marker levels.

conclusionThe relationship between serum metabolite profiles and synovial biomarker profiling suggests that NMR may be a promising tool for predicting specific pathogenic pathways in the inflamed synovium of patients with RA.

Indexed as

Arthritis, RheumatoidBiomarkersHumansMagnetic Resonance SpectroscopyMetabolomicsSynovial MembraneTranscriptomeBiomarkersBiomarkersGene expressionMetabolomicsNMRRheumatoid arthritisSynovium

Identifiers

PMID30075744
PMCPMC6091066
OpenAlexW2886774691

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.