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Lung microbiome and disease progression in idiopathic pulmonary fibrosis: an analysis of the COMET study.

ABSTRACT: The role of the lung microbiome in the pathogenesis of idiopathic pulmonary fibrosis is unknown. We investigated whether unique microbial signatures were associated with progression of idiopathic pulmonary fibrosis.Patients (aged 35-80 years) with idiopathic pulmonary fibrosis within 4 years of diagnosis from the Correlating Outcomes with biochemical Markers to Estimate Time-progression (COMET) in idiopathic pulmonary fibrosis study were followed up for a maximum of 80 weeks. Progression-free survival was defined as time to death, acute exacerbation, lung transplant, or decrease in forced vital capacity (FVC) of 10% or greater or decrease in diffusion capacity of the lung (DLCO) of 15% or greater. DNA was isolated from 55 samples of bronchoscopic alveolar lavage. 454 pyrosequencing was used to assign operational taxonomic units (OTUs) to bacteria based on a 3% sequence divergence. Adjusted Cox models were used to identify OTUs that were significantly associated with progression-free survival at a p<0.10. These OTUs were then used in the analysis of the principal components. The association between principal components and microbes with high factor loadings and progression-free survival were assessed with Cox regression analyses. The COMET study is registered with ClinicalTrials.gov, number NCT01071707.Mean FVC was 70.1% (SD 17.0) and DLCO 42.3% (14.0) of predicted. Disease progression was significantly associated with increased relative abundance of two OTUs-Streptococcus OTU 1345 (relative risk 1.11, 95% CI 1.04-1.18; p=0.0009) and Staphylococcus OTU 1348 (1.16, 1.03-1.31, p=0.012). Thresholds for relative abundance of each OTU associated with progression-free survival were more than 3.9% for Streptococcus OTU 1345 (10.19, 2.94-35.35; p=0.0002) and more than 1.8% for Staphylococcus OTU 1348 (5.06, 1.71-14.93; p=0.003).These preliminary data suggest progression of idiopathic pulmonary fibrosis is associated with the presence of specific members within the Staphylococcus and Streptococcus genera. Additional research will be needed to identify the specific bacterial species and to ascertain whether this is a causal association.National Institutes of Health.

SUBMITTER: Han MK

PROVIDER: S-EPMC4142525 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

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Lung microbiome and disease progression in idiopathic pulmonary fibrosis: an analysis of the COMET study.

Han MeiLan K MK Zhou Yueren Y Murray Susan S Tayob Nabihah N Noth Imre I Lama Vibha N VN Moore Bethany B BB White Eric S ES Flaherty Kevin R KR Huffnagle Gary B GB Martinez Fernando J FJ

The Lancet. Respiratory medicine 20140421 7

<h4>Background</h4>The role of the lung microbiome in the pathogenesis of idiopathic pulmonary fibrosis is unknown. We investigated whether unique microbial signatures were associated with progression of idiopathic pulmonary fibrosis.<h4>Methods</h4>Patients (aged 35-80 years) with idiopathic pulmonary fibrosis within 4 years of diagnosis from the Correlating Outcomes with biochemical Markers to Estimate Time-progression (COMET) in idiopathic pulmonary fibrosis study were followed up for a maxim ...[more]

PMID: 24767767

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Project description:Background: Several studies using bronchoalveolar lavage fluid (BALF) reported that lung microbial communities were associated with the development and clinical outcome of idiopathic pulmonary fibrosis (IPF). However, the microbial communities in IPF lung tissues are not well known. This study is aimed to investigate bacterial microbial communities in lung tissues and determine their impact on the clinical outcomes of patients with IPF. Methods: Genomic DNA extracted from lung tissues of patients with IPF (n = 20; 10 non-survivors) and age- and sex-matched controls (n = 20) was amplified using fusion primers targeting the V3 and V4 regions of the 16S RNA genes with indexing barcodes. Results: Mean age of IPF subjects was 63.3 yr, and 65% were male. Alpha diversity indices did not significantly differ between IPF patients and controls, or between IPF non-survivors and survivors. The relative abundance of Lactobacillus, Paracoccus, and Akkermansia was increased, whereas that of Caulobacter, Azonexus, and Undibacterium decreased in patients with IPF compared with that in the controls. A decreased relative abundance of Pelomonas (odds ratio [OR], 0.352, p = 0.027) and Azonexus (OR, 0.013, p = 0.046) was associated with a diagnosis of IPF in the multivariable logistic analysis adjusted by age and gender. Multivariable Cox analysis adjusted for age and forced vital capacity (FVC) revealed that higher relative abundance of Streptococcus (hazard ratio [HR], 1.993, p = 0.044), Sphingomonas (HR, 57.590, p = 0.024), and Clostridium (HR, 37.189, p = 0.038) was independently associated with IPF mortality. The relative abundance of Curvibacter (r = 0.590) and Thioprofundum (r = 0.373) was correlated positively, whereas that of Anoxybacillus (r = -0.509) and Enterococcus (r = -0.593) was correlated inversely with FVC. In addition, the relative abundance of the Aquabacterium (r = 0.616) and Peptoniphilus (r = 0.606) genera was positively correlated, whereas that of the Fusobacterium (r = -0.464) and Phycicoccus (r = -0.495) genera was inversely correlated with distance during the 6-min walking test. Conclusions: The composition of the microbiome in lung tissues differed between patients with IPF and controls and was associated with the diagnosis, mortality, and disease severity of IPF.

Project description:Background Idiopathic pulmonary fibrosis (IPF) is characterized by the accumulation of extracellular matrix in the pulmonary interstitium and progressive functional decline. We hypothesized that integration of multi-omics data would identify clinically meaningful molecular endotypes of IPF. Methods The IPF-PRO Registry is a prospective registry of patients with IPF. Proteomic and transcriptomic (including total RNA [toRNA] and microRNA [miRNA]) analyses were performed using blood collected at enrollment. Molecular data were integrated using Similarity Network Fusion, followed by unsupervised spectral clustering to identify molecular subtypes. Cox proportional hazards models tested the relationship between these subtypes and progression-free and transplant-free survival. The molecular subtypes were compared to risk groups based on a previously described 52-gene (toRNA expression) signature. Biological characteristics of the molecular subtypes were evaluated via linear regression differential expression and canonical pathways (Ingenuity Pathway Analysis [IPA]) over-representation analyses. Results Among 232 subjects, two molecular subtypes were identified. Subtype 1 (n = 105, 45.3%) and Subtype 2 (n = 127, 54.7%) had similar distributions of age (70.1 +/- 8.1 vs. 69.3 +/- 7.6 years; p = 0.31) and sex (79.1% vs. 70.1% males, p = 0.16). Subtype 1 had more severe disease based on composite physiologic index (CPI) (55.8 vs. 51.2; p = 0.002). After adjusting for CPI and antifibrotic treatment at enrollment, subtype 1 experienced shorter progression-free survival (HR 1.79, 95% CI 1.28,2.56; p = 0.0008) and similar transplant-free survival (HR 1.30, 95% CI 0.87,1.96; p = 0.20) as subtype 2. There was little agreement in the distribution of subjects to the molecular subtypes and the risk groups based on 52-gene signature (kappa = 0.04, 95% CI= -0.08, 0.17), and the 52-gene signature risk groups were associated with differences in transplant-free but not progression-free survival. Based on heatmaps and differential expression analyses, proteins and miRNAs (but not toRNA) contributed to classification of subjects to the molecular subtypes. The IPA showed enrichment in pulmonary fibrosis-relevant pathways, including mTOR, VEGF, PDGF, and B-cell receptor signaling. Conclusions Integration of transcriptomic and proteomic data from blood enabled identification of clinically meaningful molecular endotypes of IPF. If validated, these endotypes could facilitate identification of individuals likely to experience disease progression and enrichment of clinical trials. Trial registration NCT01915511 Supplementary Information The online version contains supplementary material available at 10.1186/s12931-023-02435-0.

Dataset Information

Lung microbiome and disease progression in idiopathic pulmonary fibrosis: an analysis of the COMET study.

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Lung microbiome and disease progression in idiopathic pulmonary fibrosis: an analysis of the COMET study.

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