Evidence map›Paper›PMID 19412192›Full record

ReviewNature reviews. Rheumatology2009

Gene-expression profiling in rheumatic disease: tools and therapeutic potential.

Jason W Bauer, Hatice Bilgic, Emily C Baechler

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.2field-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, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Galactose-Induced Cataracts in Rats: A Machine Learning Analysis.International journal of medical sciences · 2025
    Article
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  9. Review
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  14. A genomic approach to human autoimmune diseases.Annual review of immunology · 2010
    Review
  15. Review
  16. HDAC inhibition in lupus models.Molecular medicine (Cambridge, Mass.)
    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 at 1 institution in 1 country.

Jason W BauerDivision of Rheumatic and Autoimmune Diseases, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, USA.
Hatice Bilgic
Emily C Baechler
University of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene-expression profiling is a powerful tool for the discovery of molecular fingerprints that underlie human disease. Microarray technologies allow the analysis of messenger RNA transcript levels for every gene in the genome. However, gene-expression profiling is best viewed as part of a pipeline that extends from sample collection through clinical application. Key genes and pathways identified by microarray profiling should be validated in independent sample sets and with alternative technologies. Analysis of relevant signaling pathways at the protein level is an important step towards understanding the functional consequences of aberrant gene expression. Peripheral blood is a convenient and rich source of potential biomarkers, but surveying purified cell populations and target tissues can also enhance our understanding of disease states. In rheumatic disease, probing the transcriptome of circulating immune cells has shed light on mechanisms underlying the pathogenesis of complex diseases, such as systemic lupus erythematosus. As these discoveries advance through the pipeline, a variety of clinical applications are on the horizon, including the use of molecular fingerprints to aid in diagnosis and prognosis, improved use of existing therapies, and the development of drugs that target relevant genes and pathways.

Indexed as

Gene ExpressionBiomarkersDNA FingerprintingGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisRheumatic DiseasesRNA, MessengerBiomarkersRNA, Messenger

Identifiers

PMID19412192
OpenAlexW2081693223

What OpenQuestion holds

Textmetadata
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.