Evidence map›Paper›PMID 20155833›Full record

ArticleArthritis and rheumatism2010

Transcription of proteinase 3 and related myelopoiesis genes in peripheral blood mononuclear cells of patients with active Wegener's granulomatosis.

Chris Cheadle, Alan E Berger, Felipe Andrade, Regina James, Kristen Johnson, Tonya Watkins, Jin Kyun Park, Yu-Chi Chen, Eva Ehrlich, Marissa Mullins and 3 more

Abstract read
In one paragraph

Article in Arthritis and rheumatism, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Can we cure vasculitis?Current opinion in immunology · 2025
    Review
  2. Review
  3. Neutrophils in the Pathogenesis of Rheumatic Diseases: Fueling the Fire.Clinical reviews in allergy & immunology · 2021
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. ANCA-Associated Vasculitis Pathogenesis: A Commentary.Current rheumatology reports · 2017
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. 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

13 authors at 2 institutions in 1 country.

Chris CheadleJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Alan E Berger
Felipe Andrade
Regina James
Kristen Johnson
Tonya Watkins
Jin Kyun Park
Yu-Chi Chen
Eva Ehrlich
Marissa Mullins
Francis Chrest
Kathleen C Barnes
Stuart M Levine
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Phenotype-Specific Immune Responses in the Systemic VasculitidesP30AR053503 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI BINGHAM, CLIFTON O · 2006 to 2015
$6.4M
Anti-Jo-1 Immune Responses in Autoimmune MyositisK08AR050982 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI LEVINE, STUART M · 2004 to 2008
$641k
Reaction of Bone Cell Cultures to Strain and Fluid FlowF33AR050892 · NIAMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI MASON, JIM J · 2003 to 2003
$55k
NIAMS NIH HHS F33 AR050892NIAMS NIH HHS K08 AR050982NIAMS NIH HHS K08-AR-50892NIAMS NIH HHS P30 AR053503NIAMS NIH HHS P30-AR-053503
6 · The paper itself

Abstract

objectiveWegener's granulomatosis (WG) is a systemic inflammatory disease that is associated with substantial morbidity. The aim of this study was to understand the biology underlying WG and to discover markers of disease activity that would be useful for prognosis and treatment guidance.

methodsGene expression profiling was performed using total RNA from peripheral blood mononuclear cells (PBMCs) and granulocyte fractions from 41 patients with WG and 23 healthy control subjects. Gene set enrichment analysis (GSEA) was performed to search for candidate WG-associated molecular pathways and disease activity biomarkers. Principal components analysis was used to visualize relationships between subgroups of WG patients and controls. Longitudinal changes in proteinase 3 (PR3) gene expression were evaluated using reverse transcription-polymerase chain reaction, and clinical outcomes, including remission status and disease activity, were determined using the Birmingham Vasculitis Activity Score for WG (BVAS-WG).

resultsEighty-six genes in WG PBMCs and 40 in WG polymorphonuclear neutrophils (PMNs) were significantly up-regulated relative to controls. Genes up-regulated in WG PBMCs were involved in myeloid differentiation, and these included the WG autoantigen PR3. The coordinated regulation of myeloid differentiation genes was confirmed by GSEA. The median expression values of the 86 up-regulated genes in WG PBMCs were associated with disease activity (P = 1.3 x 10(-4)), and WG patients with low-level expression of the WG signature genes showed expression profiles that were only modestly different from that in healthy controls (P = 0.07). PR3 transcription was significantly up-regulated in WG PBMCs (P = 1.3 x 10(-5), false discovery rate [FDR] 0.002), but not in WG PMNs (P = 0.03, FDR 0.28), and a preliminary longitudinal analysis showed that the fold change in PR3 RNA levels in WG PBMCs corresponded to changes in the BVAS-WG score over time.

conclusionTranscription of PR3 and related myeloid differentiation genes in PBMCs may represent novel markers of disease activity in WG.

Indexed as

AdultAgedAutoantibodiesFemaleGene Expression ProfilingGranulomatosis with PolyangiitisHumansLeukocytes, MononuclearMaleMiddle AgedMyeloblastinMyelopoiesisOligonucleotide Array Sequence AnalysisPrincipal Component AnalysisReverse Transcriptase Polymerase Chain ReactionRNA, MessengerAutoantibodiesMyeloblastinRNA, Messenger

Identifiers

PMID20155833
PMCPMC2887718
OpenAlexW2051071588

What OpenQuestion holds

Textmetadata
LicenceTDM
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.