Evidence map›Paper›PMID 25147296›Full record

ReviewDisease models & mechanisms2014

Linking susceptibility genes and pathogenesis mechanisms using mouse models of systemic lupus erythematosus.

Steve P Crampton, Peter A Morawski, Silvia Bolland

Abstract readReview
In one paragraph

Review in Disease models & mechanisms, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
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

43 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Myeloid and lymphoid expression ofScience translational medicine · 2024
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  7. Article
  8. Article
  9. Review
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  14. Review
  15. Review
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  19. Brain, behavior, & immunity - health · 2020
    Article
  20. 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

3 authors.

Steve P CramptonLaboratory of Immunogenetics, National Institute of Allergic and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA.
Peter A MorawskiLaboratory of Immunogenetics, National Institute of Allergic and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA.
Silvia BollandLaboratory of Immunogenetics, National Institute of Allergic and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA sbolland@niaid.nih.gov.

Funding

Genetic Modifiers Of Autoimmune Disease In FcgammaRIIB Mutant MiceZIAAI000912 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BOLLAND, SILVIA · 2009 to 2025
$27.0M
Intramural NIH HHS
6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) represents a challenging autoimmune disease from a clinical perspective because of its varied forms of presentation. Although broad-spectrum steroids remain the standard treatment for SLE, they have many side effects and only provide temporary relief from the symptoms of the disease. Thus, gaining a deeper understanding of the genetic traits and biological pathways that confer susceptibility to SLE will help in the design of more targeted and effective therapeutics. Both human genome-wide association studies (GWAS) and investigations using a variety of mouse models of SLE have been valuable for the identification of the genes and pathways involved in pathogenesis. In this Review, we link human susceptibility genes for SLE with biological pathways characterized in mouse models of lupus, and discuss how the mechanistic insights gained could advance drug discovery for the disease.

Indexed as

Disease Models, AnimalGenetic LinkageGenetic Predisposition to DiseaseAnimalsHumansLupus Erythematosus, SystemicMiceMice, Inbred C57BLHuman geneticsLupusMouse modelsSLESusceptibility genes

Identifiers

PMID25147296
PMCPMC4142724

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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.