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Molecular Subsets in the Gene Expression Signatures of Scleroderma Skin

BACKGROUND: Scleroderma 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 FINDINGS: We analyzed the genome-wid...

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Autores principales: Milano, Ausra, Pendergrass, Sarah A., Sargent, Jennifer L., George, Lacy K., McCalmont, Timothy H., Connolly, M. Kari, Whitfield, Michael L.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2481301/
https://www.ncbi.nlm.nih.gov/pubmed/18648520
http://dx.doi.org/10.1371/journal.pone.0002696
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author Milano, Ausra
Pendergrass, Sarah A.
Sargent, Jennifer L.
George, Lacy K.
McCalmont, Timothy H.
Connolly, M. Kari
Whitfield, Michael L.
author_facet Milano, Ausra
Pendergrass, Sarah A.
Sargent, Jennifer L.
George, Lacy K.
McCalmont, Timothy H.
Connolly, M. Kari
Whitfield, Michael L.
author_sort Milano, Ausra
collection PubMed
description BACKGROUND: Scleroderma 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 FINDINGS: We 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.
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spelling pubmed-24813012008-07-23 Molecular Subsets in the Gene Expression Signatures of Scleroderma Skin Milano, Ausra Pendergrass, Sarah A. Sargent, Jennifer L. George, Lacy K. McCalmont, Timothy H. Connolly, M. Kari Whitfield, Michael L. PLoS One Research Article BACKGROUND: Scleroderma 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 FINDINGS: We 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. Public Library of Science 2008-07-16 /pmc/articles/PMC2481301/ /pubmed/18648520 http://dx.doi.org/10.1371/journal.pone.0002696 Text en Milano et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Milano, Ausra
Pendergrass, Sarah A.
Sargent, Jennifer L.
George, Lacy K.
McCalmont, Timothy H.
Connolly, M. Kari
Whitfield, Michael L.
Molecular Subsets in the Gene Expression Signatures of Scleroderma Skin
title Molecular Subsets in the Gene Expression Signatures of Scleroderma Skin
title_full Molecular Subsets in the Gene Expression Signatures of Scleroderma Skin
title_fullStr Molecular Subsets in the Gene Expression Signatures of Scleroderma Skin
title_full_unstemmed Molecular Subsets in the Gene Expression Signatures of Scleroderma Skin
title_short Molecular Subsets in the Gene Expression Signatures of Scleroderma Skin
title_sort molecular subsets in the gene expression signatures of scleroderma skin
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2481301/
https://www.ncbi.nlm.nih.gov/pubmed/18648520
http://dx.doi.org/10.1371/journal.pone.0002696
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