Evidence map›Paper›PMID 18648520›Full record

ArticlePloS one2008

Molecular subsets in the gene expression signatures of scleroderma skin.

Ausra Milano, Sarah A Pendergrass, Jennifer L Sargent, Lacy K George, Timothy H McCalmont, M Kari Connolly, Michael L Whitfield

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2008. 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 217 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
217citing papers in PubMed, 4 pooled it
12.1field-weighted citation impact, top 1% 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

217 citing papers in PubMed, 4 syntheses or guidelines pooled it, 381 citations in OpenAlex.

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157 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ausra MilanoDepartment of Genetics, Dartmouth Medical School, Hanover, New Hampshire, United States of America.
Sarah A Pendergrass
Jennifer L Sargent
Lacy K George
Timothy H McCalmont
M Kari Connolly
Michael L Whitfield
Dartmouth College · USUniversity of California, San Francisco · US

Funding

AUTOIMMUNITY &CONNECTIVE TISSUE BIOLOGY TRAININGT32AR007576 · NIAMS · DARTMOUTH COLLEGE · PI RIGBY, WILLIAM FREDERICK CARSON · 1994 to 2008
$1.7M
Howard Hughes Medical Institute 76200-560801NIAMS NIH HHS AR007576NIAMS NIH HHS T32 AR007576
6 · The paper itself

Abstract

backgroundScleroderma is a clinically heterogeneous disease with a complex phenotype. The disease is characterized by vascular dysfunction, tissue fibrosis, internal organ dysfunction, and immune dysfunction resulting in autoantibody production. METHODOLOGY AND

findingsWe analyzed the genome-wide patterns of gene expression with DNA microarrays in skin biopsies from distinct scleroderma subsets including 17 patients with systemic sclerosis (SSc) with diffuse scleroderma (dSSc), 7 patients with SSc with limited scleroderma (lSSc), 3 patients with morphea, and 6 healthy controls. 61 skin biopsies were analyzed in a total of 75 microarray hybridizations. Analysis by hierarchical clustering demonstrates nearly identical patterns of gene expression in 17 out of 22 of the forearm and back skin pairs of SSc patients. Using this property of the gene expression, we selected a set of 'intrinsic' genes and analyzed the inherent data-driven groupings. Distinct patterns of gene expression separate patients with dSSc from those with lSSc and both are easily distinguished from normal controls. Our data show three distinct patient groups among the patients with dSSc and two groups among patients with lSSc. Each group can be distinguished by unique gene expression signatures indicative of proliferating cells, immune infiltrates and a fibrotic program. The intrinsic groups are statistically significant (p<0.001) and each has been mapped to clinical covariates of modified Rodnan skin score, interstitial lung disease, gastrointestinal involvement, digital ulcers, Raynaud's phenomenon and disease duration. We report a 177-gene signature that is associated with severity of skin disease in dSSc. CONCLUSIONS AND SIGNIFICANCE: Genome-wide gene expression profiling of skin biopsies demonstrates that the heterogeneity in scleroderma can be measured quantitatively with DNA microarrays. The diversity in gene expression demonstrates multiple distinct gene expression programs in the skin of patients with scleroderma.

Indexed as

Gene Expression RegulationAdultAgedBiopsyCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMiddle AgedOligonucleotide Array Sequence AnalysisPhenotypeScleroderma, DiffuseScleroderma, LimitedScleroderma, Systemic

Identifiers

PMID18648520
PMCPMC2481301
OpenAlexW2024866056

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.