Evidence map›Paper›PMID 19877080›Full record

ArticleArthritis and rheumatism2009

Identification of RGS1 as a candidate biomarker for undifferentiated spondylarthritis by genome-wide expression profiling and real-time polymerase chain reaction.

Jieruo Gu, Yu-Ling Wei, James C C Wei, Feng Huang, Ming-Shiou Jan, Michael Centola, Mark B Frank, David Yu

Open access · greenAbstract read
In one paragraph

Article in Arthritis and rheumatism, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
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  6. Article
  7. Biomarker development for axial spondyloarthritis.Nature reviews. Rheumatology · 2020
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Applications of systems approaches in the study of rheumatic diseases.The Korean journal of internal medicine · 2015
    Review
  14. Article
  15. Article
  16. Article
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  19. 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

8 authors at 6 institutions in 3 countries.

Jieruo GuThird Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yu-Ling Wei
James C C Wei
Feng Huang
Ming-Shiou Jan
Michael Centola
Mark B Frank
David Yu
Oklahoma Medical Research Foundation · USUniversity of California, Los Angeles · USChinese PLA General Hospital · CNChung Shan Medical University · TWChung Shan Medical University Hospital · TWThird Affiliated Hospital of Sun Yat-sen University · CN

Funding

Translation of immunologic technologies from basic research into pre-clinical nonU19AI062629 · NIAID · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI THOMPSON, LINDA F · 2004 to 2023
$56.2M
VACCINE-TARGETED IDENTIFICATION OF FITNESS DETERMINANTS IN THE HIV-1 ENVELOPEP20RR016478 · NCRR · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LEWIS, SHARON A · 2001 to 2011
$35.8M
THE EFFECTS OF ERK PATHWAY INHIBITION ON DNA METHYLATION IN SLEP20RR015577 · NCRR · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI CENTOLA, MICHAEL B · 2000 to 2009
$21.5M
VALIDATING NOVEL GENES IMPLICATED IN LEUKOCYTE CHEMOTAXISP20RR020143 · NCRR · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI GAFFNEY, PATRICK M · 2004 to 2011
$21.0M
SNP Confirmation and High Throughput Genotyping CoreP30AR053483 · NIAMS · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI GUTHRIDGE, JOEL MARVIN · 2007 to 2017
$6.7M
BLRD VA I01 BX003850NCRR NIH HHS MC-P20-RR-15577NCRR NIH HHS P20 RR015577NCRR NIH HHS P20 RR016478NCRR NIH HHS P20-RR-016478NCRR NIH HHS P20 RR020143NCRR NIH HHS P20-RR-020143NCRR NIH HHS P20-RR-15577NIAID NIH HHS 5U-19-AI062629NIAID NIH HHS U19 AI062629NIAID NIH HHS U19-AI-062629NIAMS NIH HHS AR061-015NIAMS NIH HHS AR081-006NIAMS NIH HHS P30 AR053483
6 · The paper itself

Abstract

objectiveTo compare gene expression profiles between ankylosing spondylitis (AS) and undifferentiated spondylarthritis (uSpA) patients with inflammatory low back pain.

methodsPeripheral blood mononuclear cells (PBMCs) from patients with AS, patients with uSpA, and healthy subjects were screened using genome-wide microarrays, followed by validation by real-time polymerase chain reaction (PCR).

resultsMicroarray profiling and real-time PCR assays showed only minor differences between AS patients and healthy subjects. In contrast, 20 genes were strikingly more highly expressed in uSpA patients. Regulator of G protein signaling 1 (RGS1) was identified as the most useful biomarker for distinguishing uSpA patients, and to a lesser extent AS patients, from control subjects (P = 2.3 x 10(-7) and 6.7 x 10(-3), respectively). These findings were verified in an independent cohort that also included patients with rheumatoid arthritis and patients with mechanical low back pain. The receiver operating characteristic area under the curve values in the first and second cohorts of uSpA patients were 0.99 and 0.93, respectively (P = 1 x 10(-4)). To evaluate the possible derivation of RGS1, we cultured a monocyte-derived cell line with a panel of cytokines and chemokines. RGS1 was significantly induced either by tumor necrosis factor alpha (TNFalpha) or by interleukin-17 (IL-17).

conclusionOur findings indicate that uSpA PBMCs carry strikingly more highly expressed genes compared with PBMCs from AS patients or healthy subjects, and that TNFalpha- and IL-17-inducible RGS1 is a potential biomarker for uSpA, and to a lesser extent for AS, with inflammatory low back pain.

Indexed as

Gene Expression ProfilingReverse Transcriptase Polymerase Chain ReactionAdultBiomarkersCase-Control StudiesCells, CulturedDiagnosis, DifferentialFemaleHumansInterleukin-17Leukocytes, MononuclearMaleMiddle AgedRGS ProteinsSpondylarthritisSpondylitis, AnkylosingBiomarkersInterleukin-17RGS1 protein, humanRGS ProteinsTumor Necrosis Factor-alpha

Identifiers

PMID19877080
PMCPMC2936922
OpenAlexW2039585477

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

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.