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硬皮病皮肤基因表达特征中的分子亚群。

Molecular subsets in the gene expression signatures of scleroderma skin.

作者信息

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

机构信息

Department of Genetics, Dartmouth Medical School, Hanover, New Hampshire, United States of America.

出版信息

PLoS One. 2008 Jul 16;3(7):e2696. doi: 10.1371/journal.pone.0002696.

Abstract

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.

摘要

背景

硬皮病是一种临床异质性疾病,具有复杂的表型。该疾病的特征是血管功能障碍、组织纤维化、内脏器官功能障碍以及导致自身抗体产生的免疫功能障碍。

方法与结果

我们使用DNA微阵列分析了来自不同硬皮病亚组的皮肤活检样本中的全基因组基因表达模式,这些亚组包括17例弥漫性硬皮病(dSSc)的系统性硬化症(SSc)患者、7例局限性硬皮病(lSSc)的SSc患者、3例硬斑病患者和6例健康对照。总共进行了75次微阵列杂交,分析了61份皮肤活检样本。层次聚类分析表明,在22对SSc患者的前臂和背部皮肤样本中,有17对具有几乎相同的基因表达模式。利用这种基因表达特性,我们选择了一组“内在”基因,并分析了内在的数据驱动分组。不同的基因表达模式将dSSc患者与lSSc患者区分开来,并且两者都很容易与正常对照区分开。我们的数据显示,dSSc患者中有三个不同的患者组,lSSc患者中有两个组。每个组都可以通过指示增殖细胞、免疫浸润和纤维化程序的独特基因表达特征来区分。这些内在分组具有统计学意义(p<0.001),并且每组都已映射到改良Rodnan皮肤评分、间质性肺病、胃肠道受累、指端溃疡、雷诺现象和疾病持续时间的临床协变量。我们报告了一个与dSSc皮肤疾病严重程度相关的177个基因的特征。

结论与意义

皮肤活检样本的全基因组基因表达谱分析表明,硬皮病的异质性可以通过DNA微阵列进行定量测量。基因表达的多样性表明硬皮病患者皮肤中存在多种不同的基因表达程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2007/2481301/a60c394fcc29/pone.0002696.g001.jpg

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