Evidence map›Paper›PMID 14979934›Full record

ArticleArthritis research & therapy2004

Novel approaches to gene expression analysis of active polyarticular juvenile rheumatoid arthritis.

James N Jarvis, Igor Dozmorov, Kaiyu Jiang, Mark Barton Frank, Peter Szodoray, Philip Alex, Michael Centola

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 105 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

James N JarvisDepartment of Pediatrics, University of Oklahoma College of Medicine, Oklahoma City, OK, USA. james-jarvis@ouhsc.edu
Igor Dozmorov
Kaiyu Jiang
Mark Barton Frank
Peter Szodoray
Philip Alex
Michael Centola
Oklahoma Medical Research Foundation · USUniversity of Oklahoma · USUniversity of Bergen · NO

Funding

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
NCRR NIH HHS P20 RR015577NCRR NIH HHS P20 RR016478
6 · The paper itself

Abstract

Juvenile rheumatoid arthritis (JRA) has a complex, poorly characterized pathophysiology. Modeling of transcriptosome behavior in pathologic specimens using microarrays allows molecular dissection of complex autoimmune diseases. However, conventional analyses rely on identifying statistically significant differences in gene expression distributions between patients and controls. Since the principal aspects of disease pathophysiology vary significantly among patients, these analyses are biased. Genes with highly variable expression, those most likely to regulate and affect pathologic processes, are excluded from selection, as their distribution among healthy and affected individuals may overlap significantly. Here we describe a novel method for analyzing microarray data that assesses statistically significant changes in gene behavior at the population level. This method was applied to expression profiles of peripheral blood leukocytes from a group of children with polyarticular JRA and healthy control subjects. Results from this method are compared with those from a conventional analysis of differential gene expression and shown to identify discrete subsets of functionally related genes relevant to disease pathophysiology. These results reveal the complex action of the innate and adaptive immune responses in patients and specifically underscore the role of IFN-gamma in disease pathophysiology. Discriminant function analysis of data from a cohort of patients treated with conventional therapy identified additional subsets of functionally related genes; the results may predict treatment outcomes. While data from only 9 patients and 12 healthy controls was used, this preliminary investigation of the inflammatory genomics of JRA illustrates the significant potential of utilizing complementary sets of bioinformatics tools to maximize the clinical relevance of microarray data from patients with autoimmune disease, even in small cohorts.

Identifiers

PMID14979934
PMCPMC400410
OpenAlexW1562450815

What OpenQuestion holds

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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.