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. 2016 Jul 5;18(1):155.
doi: 10.1186/s13075-016-1054-6.

miR-155 in the progression of lung fibrosis in systemic sclerosis

Affiliations

miR-155 in the progression of lung fibrosis in systemic sclerosis

Romy B Christmann et al. Arthritis Res Ther. .

Abstract

Background: MicroRNA (miRNA) control key elements of mRNA stability and likely contribute to the dysregulated lung gene expression observed in systemic sclerosis associated interstitial lung disease (SSc-ILD). We analyzed the miRNA gene expression of tissue and cells from patients with SSc-ILD. A chronic lung fibrotic murine model was used.

Methods: RNA was isolated from lung tissue of 12 patients with SSc-ILD and 5 controls. High-resolution computed tomography (HRCT) was performed at baseline and 2-3 years after treatment. Lung fibroblasts and peripheral blood mononuclear cells (PBMC) were isolated from healthy controls and patients with SSc-ILD. miRNA and mRNA were analyzed by microarray, quantitative polymerase chain reaction, and/or Nanostring; pathway analysis was performed by DNA Intelligent Analysis (DIANA)-miRPath v2.0 software. Wild-type and miR-155 deficient (miR-155ko) mice were exposed to bleomycin.

Results: Lung miRNA microarray data distinguished patients with SSc-ILD from healthy controls with 185 miRNA differentially expressed (q < 0.25). DIANA-miRPath revealed 57 Kyoto Encyclopedia of Genes and Genomes pathways related to the most dysregulated miRNA. miR-155 and miR-143 were strongly correlated with progression of the HRCT score. Lung fibroblasts only mildly expressed miR-155/miR-21 after several stimuli. miR-155 PBMC expression strongly correlated with lung function tests in SSc-ILD. miR-155ko mice developed milder lung fibrosis, survived longer, and weaker lung induction of several genes after bleomycin exposure compared to wild-type mice.

Conclusions: miRNA are dysregulated in the lungs and PBMC of patients with SSc-ILD. Based on mRNA-miRNA interaction analysis and pathway tools, miRNA may play a role in the progression of the disease. Our findings suggest that targeting miR-155 might provide a novel therapeutic strategy for SSc-ILD.

Keywords: Biomarker; Bleomycin; Gene expression; Lung fibrosis; Systemic Sclerosis; miR-155; microRNA.

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Figures

Fig. 1
Fig. 1
a Timeline of the study. See “Methods” for more details. b Heatmap of whole lung homogenate showing the expression of genes clustered using complete linkage hierarchical supervised clustering. Gray indicates healthy controls (HC1 to HC5; n = 5); orange indicates patients with systemic sclerosis interstitial lung disease (SSc-ILD) (SSc-A to SSc-K; n = 12). Each miRNA was z-score-normalized across all samples and was scaled to red and blue (≥2 or ≤ –2, respectively) and white indicating a z score of zero. ILD interstitial lung disease, HRCT high-resolution computer tomography, PFT pulmonary function test, FibMax HRCT lung score, FVC% percent forced vital capacity, NSIP non-specific interstitial pneumonia
Fig. 2
Fig. 2
Whole lung homogenate with miRNA and mRNA expression by qPCR of miR-182 (a), miR-155 (b), miR-21 (c), collagen type 3 alpha-1 (Col3a1) (d), MS4A4A (e), and periostin (POSTN) (f) in healthy controls (HC) (n = 5) and patients with systemic sclerosis interstitial lung disease (SSc-ILD) (n = 14). Data are expressed as fold-change normalized to miRNA (RNU6B) or mRNA (18S) average expression in HC samples. Student’s t test; p < 0.05 was considered significant
Fig. 3
Fig. 3
a Correlation between the delta high-resolution computerized tomography lung score (Fib Max) and mir-155 whole lung homogenate gene expression (r = 0.65, p < 0.001). b Correlation between miR-155 expression on peripheral blood mononuclear cells by Nanostring and percentage forced vital capacity (%FVC) (r = –0.60, p = 0.01), and c percentage diffusing capacity of the lung for carbon monoxide (%DLCO) (r = –0.58, p = 0.02). d miR-21 and e miR-155 expression on lung fibroblasts from cell lines of healthy controls (HC) and patients with systemic sclerosis interstitial lung disease (SSc-ILD) stimulated for 18 hours with media, IL-13, transforming growth factor-beta (TGF-β), and interferon-alpha (IFN-α) (see “Methods”) (analysis of variance, p > 0.05 for both miRNA). Data are expressed as fold-change compared to HC samples or media control on a, b, d, and e. Data are expressed as counts of gene expression and percentage on b and c. p < 0.05 was considered significant
Fig. 4
Fig. 4
Milder lung fibrosis in miR-155 knockout (KO) mice. a Percent survival rate by Kaplan-Meier, log-rank test. b Ashcroft lung score assessed by Masson’s trichrome staining. Lung gene expression by Nanostring of Arginase-1 (c) and tissue inhibitor of metalloproteinase-1 (TIMP1) (d). e Cluster of the most affected genes by the absence of miR-155 (blue). Data are expressed by counting gene expression on c and d. Each microRNA was z-score-normalized across all samples and scaled to red and blue (≥2 or ≤ –2, respectively) and white indicating a z score of zero. Analysis of variance; p < 0.05 was considered significant. WT wild-type, Bleo bleomycin

References

    1. Ioannidis JP, Vlachoyiannopoulos PG, Haidich AB, Medsger TA, Jr, Lucas M, Michet CJ, et al. Mortality in systemic sclerosis: an international meta-analysis of individual patient data. Am J Med. 2005;118(1):2–10. doi: 10.1016/j.amjmed.2004.04.031. - DOI - PubMed
    1. Tyndall AJ, Bannert B, Vonk M, Airo P, Cozzi F, Carreira PE, et al. Causes and risk factors for death in systemic sclerosis: a study from the EULAR Scleroderma Trials and Research (EUSTAR) database. Ann Rheum Dis. 2010;69(10):1809–15 - PubMed
    1. Sampaio-Barros PD, Bortoluzzo AB, Marangoni RG, Rocha LF, Del Rio AP, Samara AM, et al. Survival, causes of death, and prognostic factors in systemic sclerosis: analysis of 947 Brazilian patients. J Rheumatol. 2012;39(10):1971–78. - PubMed
    1. Roth MD, Tseng CH, Clements PJ, Furst DE, Tashkin DP, Goldin JG, et al. Predicting treatment outcomes and responder subsets in scleroderma-related interstitial lung disease. Arthritis Rheum. 2011;63(9):2797–08. - PMC - PubMed
    1. Steen VD, Medsger TA. Changes in causes of death in systemic sclerosis, 1972-2002. Ann Rheum Dis. 2007;66(7):940–4. doi: 10.1136/ard.2006.066068. - DOI - PMC - PubMed

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