Evidence map›Paper›PMID 20976278›Full record

ArticlePloS one2010

Gene network analysis of bone marrow mononuclear cells reveals activation of multiple kinase pathways in human systemic lupus erythematosus.

Magdalene Nakou, George Bertsias, Ilias Stagakis, Michael Centola, Ioannis Tassiulas, Maria Hatziapostolou, Iraklis Kritikos, George Goulielmos, Dimitrios T Boumpas, Dimitrios Iliopoulos

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Cutaneous and systemic connections in lupus.Current opinion in rheumatology · 2020
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Role of neutrophils in systemic autoimmune diseases.Arthritis research & therapy · 2013
    Review
  13. Pulmonary microRNA profiling in a mouse model of ventilator-induced lung injury.American journal of physiology. Lung cellular and molecular physiology · 2012
    Article
  14. Article
  15. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Magdalene NakouDivision of Rheumatology, Clinical Immunology and Allergy, University of Crete Medical School, Heraklion, Greece.
George Bertsias
Ilias Stagakis
Michael Centola
Ioannis Tassiulas
Maria Hatziapostolou
Iraklis Kritikos
George Goulielmos
Dimitrios T Boumpas
Dimitrios Iliopoulos
University of Crete · GRHarvard University · USFoundation for Research and Technology Hellas · GROklahoma Medical Research Foundation · US

Funding

SNP Confirmation and High Throughput Genotyping CoreP30AR053483 · NIAMS · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI GUTHRIDGE, JOEL MARVIN · 2007 to 2017
$6.7M
NIAMS NIH HHS P30 AR053483
6 · The paper itself

Abstract

backgroundGene profiling studies provide important information for key molecules relevant to a disease but are less informative of protein-protein interactions, post-translational modifications and regulation by targeted subcellular localization. Integration of genomic data and construction of functional gene networks may provide additional insights into complex diseases such as systemic lupus erythematosus (SLE). METHODOLOGY/PRINCIPAL

findingsWe analyzed gene expression microarray data of bone marrow mononuclear cells (BMMCs) from 20 SLE patients (11 with active disease) and 10 controls. Gene networks were constructed using the bioinformatic tool Ingenuity Gene Network Analysis. In SLE patients, comparative analysis of BMMCs genes revealed a network with 19 central nodes as major gene regulators including ERK, JNK, and p38 MAP kinases, insulin, Ca(2+) and STAT3. Comparison between active versus inactive SLE identified 30 central nodes associated with immune response, protein synthesis, and post-transcriptional modification. A high degree of identity between networks in active SLE and non-Hodgkin's lymphoma (NHL) patients was found, with overlapping central nodes including kinases (MAPK, ERK, JNK, PKC), transcription factors (NF-kappaB, STAT3), and insulin. In validation studies, western blot analysis in splenic B cells from 5-month-old NZB/NZW F1 lupus mice showed activation of STAT3, ITGB2, HSPB1, ERK, JNK, p38, and p32 kinases, and downregulation of FOXO3 and VDR compared to normal C57Bl/6 mice. CONCLUSIONS/SIGNIFICANCE: Gene network analysis of lupus BMMCs identified central gene regulators implicated in disease pathogenesis which could represent targets of novel therapies in human SLE. The high similarity between active SLE and NHL networks provides a molecular basis for the reported association of the former with lymphoid malignancies.

Indexed as

Gene Regulatory NetworksAnimalsBase SequenceBone Marrow CellsDNA, ComplementaryDNA PrimersEnzyme ActivationEnzyme-Linked Immunosorbent AssayHumansLupus Erythematosus, SystemicMiceOligonucleotide Array Sequence AnalysisProtein KinasesRNA, MessengerDNA, ComplementaryDNA PrimersProtein KinasesRNA, Messenger

Identifiers

PMID20976278
PMCPMC2954787
OpenAlexW2010144406

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.