Evidence map›Paper›PMID 23240033›Full record

ArticlePloS one2012

A systems approach to rheumatoid arthritis.

Sungyong You, Chul-Soo Cho, Inyoul Lee, Leroy Hood, Daehee Hwang, Wan-Uk Kim

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. 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
3.0field-weighted citation impact, top 9% 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, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. The dynamic evolution of rheumatology in Korea.Nature reviews. Rheumatology · 2016
    Review
  14. Applications of systems approaches in the study of rheumatic diseases.The Korean journal of internal medicine · 2015
    Review
  15. Identification of key regulators for the migration and invasion of rheumatoid synoviocytes through a systems approach.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  16. Protein-protein interaction networks (PPI) and complex diseases.Gastroenterology and hepatology from bed to bench · 2014
    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

6 authors at 3 institutions in 2 countries.

Sungyong YouSchool of Interdisciplinary Bioscience and Bioengineering, POSTECH, Pohang, Korea.
Chul-Soo Cho
Inyoul Lee
Leroy Hood
Daehee Hwang
Wan-Uk Kim
Catholic University of Korea · KRInstitute for Systems Biology · USPohang University of Science and Technology · KR

Funding

TRANSGENETICS OF CHIMERIC PROTEINS IN PRION REPLICATION &DISEASEP01NS041997 · NINDS · MC LAUGHLIN RESEARCH INSTITUTE · PI PRUSINER, STANLEY B · 2001 to 2011
$15.0M
NINDS NIH HHS P01 NS041997
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily attacks synovial joints. Despite the advances in diagnosis and treatment of RA, novel molecular targets are still needed to improve the accuracy of diagnosis and the therapeutic outcomes. Here, we present a systems approach that can effectively 1) identify core RA-associated genes (RAGs), 2) reconstruct RA-perturbed networks, and 3) select potential targets for diagnosis and treatments of RA. By integrating multiple gene expression datasets previously reported, we first identified 983 core RAGs that show RA dominant differential expression, compared to osteoarthritis (OA), in the multiple datasets. Using the core RAGs, we then reconstructed RA-perturbed networks that delineate key RA associated cellular processes and transcriptional regulation. The networks revealed that synovial fibroblasts play major roles in defining RA-perturbed processes, anti-TNF-α therapy restored many RA-perturbed processes, and 19 transcription factors (TFs) have major contribution to deregulation of the core RAGs in the RA-perturbed networks. Finally, we selected a list of potential molecular targets that can act as metrics or modulators of the RA-perturbed networks. Therefore, these network models identify a panel of potential targets that will serve as an important resource for the discovery of therapeutic targets and diagnostic markers, as well as providing novel insights into RA pathogenesis.

Indexed as

Gene Expression ProfilingSystems BiologyArthritis, RheumatoidFibroblastsGene Regulatory NetworksHumansMolecular Targeted TherapyOsteoarthritisSynovial MembraneTranscription FactorsTumor Necrosis Factor-alphaTranscription FactorsTumor Necrosis Factor-alpha

Identifiers

PMID23240033
PMCPMC3519858
OpenAlexW2078550582

What OpenQuestion holds

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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.