Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene expression profiles of interstitial lung disease (ILD) patients

ABSTRACT: The mechanisms and molecular pathways underlying interstitial lung diseases (ILDs) are poorly understood. Systems biology approaches were used to identify perturbed networks in these disease states to gain a better understanding of the underlying mechanisms of disease. Through profiling genes and miRNAs, we found subsets of genes and miRNAs that distinguish different disease stages, ILDs from controls, and idiopathic pulmonary fibrosis (IPF) from non-specific interstitial pneumonitis (NSIP). Traditional pathway analysis revealed several disease-associated modules involving genes from the TGF-beta, Wnt, focal adhesion and smooth muscle actin pathways that may be involved in advancing fibrosis. A comprehensively integrative approach was used to construct a global gene regulatory network based on the perturbation of key regulatory elements, transcriptional factors and miRNAs. The data also demonstrated that several subnetworks were significantly associated with key molecules involved in the diseases. We present a broad overview of the disease at a molecular level and discuss several possibly key regulatory molecular circuits that could play central roles in facilitating the progression of ILDs. Lung tissue samples from 23 patients with IPF or related disorders were obtained from the Lung Tissue Research Consortium (www.ltrcpublic.org). 11 samples came from patients who had been diagnosed with usual interstitial pneumonia/ idiopathic pulmonary fibrosis (UIP/IPF), 5 samples came from patients with non-specific interstitial pneumonia (NSIP), the remaining from patients with uncharacterized fibrosis and from patients with other ILD variants. B. Biopsies from uninvolved lung tissue from lung cancer patients (5 samples) and from one lung transplant patient were used as controls for comparison with the ILD samples.

ORGANISM(S): Homo sapiens

SUBMITTER: Ji-Hoon Cho

PROVIDER: E-GEOD-21369 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Systems biology of interstitial lung diseases: integration of mRNA and microRNA expression changes.

Cho Ji-Hoon JH Gelinas Richard R Wang Kai K Etheridge Alton A Piper Melissa G MG Batte Kara K Dakhallah Duaa D Price Jennifer J Bornman Dan D Zhang Shile S Marsh Clay C Galas David D

BMC medical genomics 20110117

<h4>Background</h4>The molecular pathways involved in the interstitial lung diseases (ILDs) are poorly understood. Systems biology approaches, with global expression data sets, were used to identify perturbed gene networks, to gain some understanding of the underlying mechanisms, and to develop specific hypotheses relevant to these chronic lung diseases.<h4>Methods</h4>Lung tissue samples from patients with different types of ILD were obtained from the Lung Tissue Research Consortium and total c ...[more]

PMID: 21241464

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Project description:Rationale: The diagnosis of idiopathic pulmonary fibrosis (IPF) requires exclusion of an underlying autoimmune disease, as present in interstitial lung diseases associated with connective tissue diseases (CTD-ILD). The prevalence of autoantibodies in IPF patients is currently unknown. Objectives: An unbiased assay for de novo discovery of autoantigens can help characterizing autoreactivities in IPF patients beyond clinically established autoimmune panels. Methods: We developed the proteomic Differential Antigen Capture (DAC) assay, capturing patient antibodies from plasma, followed by affinity purification coupled to mass spectrometry (AP-MS). The DAC assay quantifies the binding capacity of patient antibodies to proteins in a pooled native extract from lung explants (ILD explants n=41; donor controls n=12). Plasma antibodies from patients with IPF (n=35), CTD-ILD (n=24) and age-matched controls (n=32) were analyzed and validated in an independent cohort (IPF: n=40; CTD-ILD: n=20). Plasma antibody binding profiles were associated with clinical meta-data including diagnosis, lung function and transplant free survival. Measurements and Main Results: We identified 586 putative autoantigens in both study cohorts with a broad heterogeneity among disease entities and cohorts. On average, in IPF a mean±SD of 16±40 autoantigens and in CTD-ILD a mean±SD of 9±15 autoantigens were identified per patient. We identified 18 IPF-specific autoantigens validated in the second cohort. Interestingly, there was also a high number of shared autoantigens in IPF and CTD-ILD patients, with 17 being present in IPF and CTD-ILD of both cohorts. Presence of antibodies to Thrombospondin 1 (THBS1) and tubulin beta-1 chain (TUBB1) was associated with a significantly reduced survival in patients with IPF (p=0.002 and p=0.019, respectively). This signature was often associated with autoreactivity against talin-1 (TLN1), latent-transforming growth factor beta-binding protein 1 (LTBP1), epididymis secretory protein Li 112 (HEL-S-112), zyxin (ZYX), the LIM and senescent cell antigen-like-containing domain protein 1 (LIMS1) and caldesmon (CALD1). Conclusions: Unbiased proteomic profiling reveals that the overall prevalence of autoantibodies is similar in IPF and CTD-ILD patients and identifies novel IPF specific autoantigens associated with patient survival.

Dataset Information

Gene expression profiles of interstitial lung disease (ILD) patients

Publications

Systems biology of interstitial lung diseases: integration of mRNA and microRNA expression changes.

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