Dissecting the heterogeneity of skin gene expression patterns in systemic sclerosis
- PMID: 26238292
- PMCID: PMC5394431
- DOI: 10.1002/art.39289
Dissecting the heterogeneity of skin gene expression patterns in systemic sclerosis
Abstract
Objective: To examine the heterogeneity of global transcriptome patterns in systemic sclerosis (SSc) skin in a large sample of patients with SSc and control subjects.
Methods: Skin biopsy specimens obtained from 61 patients enrolled in the Genetics versus Environment in Scleroderma Outcome Study (GENISOS) cohort and 36 unaffected control subjects with a similar demographic background were examined by Illumina HumanHT-12 bead arrays. Followup experiments using quantitative polymerase chain reaction and immunohistochemical analysis were also performed.
Results: We identified 2,754 differentially expressed transcripts in SSc patients compared with controls. Clustering analysis revealed 2 prominent transcriptomes in SSc patients: the keratin and fibroinflammatory signatures. Higher keratin transcript scores were associated with shorter disease duration and interstitial lung disease, while higher fibroinflammatory scores were associated with diffuse cutaneous involvement, a higher skin score at the biopsy site, and a higher modified Rodnan skin thickness score. A subgroup of patients with significantly longer disease duration had a normal-like transcript pattern. Analysis of cell type-specific signature scores revealed remarkable heterogeneity across patients. Significantly higher scores were calculated for fibroblasts (72% of patients), microvascular cells (61%), macrophages (54%), and dendritic cells (DCs) (49%). The majority of samples with significantly higher fibroblast scores (35 of 44 [80%]) had significantly increased macrophage and/or DC scores. Further analysis and immunohistochemical staining indicated that the keratin signature was not a general marker of keratinocyte activation but was in fact associated with an activation pattern in hair and adnexal structures.
Conclusion: Prominent fibroinflammatory and keratin signatures are present in SSc skin. Expression profiles of SSc skin show significant heterogeneity, and this finding might be useful for stratifying patients for targeted therapies or predicting the response to immunosuppression.
© 2015, American College of Rheumatology.
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Comment in
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Editorial: genomic advances in systemic sclerosis: it is time for precision.Arthritis Rheumatol. 2015 Nov;67(11):2801-5. doi: 10.1002/art.39285. Arthritis Rheumatol. 2015. PMID: 26239971 No abstract available.
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Connective tissue diseases. Skin gene expression profiles in SSc.Nat Rev Rheumatol. 2015 Oct;11(10):563. doi: 10.1038/nrrheum.2015.115. Epub 2015 Aug 18. Nat Rev Rheumatol. 2015. PMID: 26282083 No abstract available.
References
-
- Elhai M, Meune C, Avouac J, Kahan A, Allanore Y. Trends in mortality in patients with systemic sclerosis over 40 years: a systematic review and meta-analysis of cohort studies. Rheumatology (Oxford) 2011;51:1017–26. - PubMed
-
- Bullinger L, Dohner K, Bair E, Frohling S, Schlenk RF, Tibshirani R, et al. Use of gene-expression profiling to identify prognostic subclasses in adult acute myeloid leukemia. N Engl J Med. 2004;350:1605–16. - PubMed
-
- Beer DG, Kardia SL, Huang CC, Giordano TJ, Levin AM, Misek DE, et al. Gene-expression profiles predict survival of patients with lung adenocarcinoma. Nat Med. 2002;8:816–24. - PubMed
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