Microbes are associated with host innate immune response in idiopathic pulmonary fibrosis
Y Huang, SF Ma, MS Espindola, R Vij… - American journal of …, 2017 - atsjournals.org
American journal of respiratory and critical care medicine, 2017•atsjournals.org
Rationale: Differences in the lung microbial community influence idiopathic pulmonary
fibrosis (IPF) progression. Whether the lung microbiome influences IPF host defense
remains unknown. Objectives: To explore the host immune response and microbial
interaction in IPF as they relate to progression-free survival (PFS), fibroblast function, and
leukocyte phenotypes. Methods: Paired microarray gene expression data derived from
peripheral blood mononuclear cells as well as 16S ribosomal RNA sequencing data from …
fibrosis (IPF) progression. Whether the lung microbiome influences IPF host defense
remains unknown. Objectives: To explore the host immune response and microbial
interaction in IPF as they relate to progression-free survival (PFS), fibroblast function, and
leukocyte phenotypes. Methods: Paired microarray gene expression data derived from
peripheral blood mononuclear cells as well as 16S ribosomal RNA sequencing data from …
Rationale: Differences in the lung microbial community influence idiopathic pulmonary fibrosis (IPF) progression. Whether the lung microbiome influences IPF host defense remains unknown.
Objectives: To explore the host immune response and microbial interaction in IPF as they relate to progression-free survival (PFS), fibroblast function, and leukocyte phenotypes.
Methods: Paired microarray gene expression data derived from peripheral blood mononuclear cells as well as 16S ribosomal RNA sequencing data from bronchoalveolar lavage obtained as part of the COMET-IPF (Correlating Outcomes with Biochemical Markers to Estimate Time-Progression in Idiopathic Pulmonary Fibrosis) study were used to conduct association pathway analyses. The responsiveness of paired lung fibroblasts to Toll-like receptor 9 (TLR9) stimulation by CpG-oligodeoxynucleotide (CpG-ODN) was integrated into microbiome–gene expression association analyses for a subset of individuals. The relationship between associated pathways and circulating leukocyte phenotypes was explored by flow cytometry.
Measurements and Main Results: Down-regulation of immune response pathways, including nucleotide-binding oligomerization domain (NOD)-, Toll-, and RIG1-like receptor pathways, was associated with worse PFS. Ten of the 11 PFS-associated pathways correlated with microbial diversity and individual genus, with species accumulation curve richness as a hub. Higher species accumulation curve richness was significantly associated with inhibition of NODs and TLRs, whereas increased abundance of Streptococcus correlated with increased NOD-like receptor signaling. In a network analysis, expression of up-regulated signaling pathways was strongly associated with decreased abundance of operational taxonomic unit 1341 (OTU1341; Prevotella) among individuals with fibroblasts responsive to CpG-ODN stimulation. The expression of TLR signaling pathways was also linked to CpG-ODN responsive fibroblasts, OTU1341 (Prevotella), and Shannon index of microbial diversity in a network analysis. Lymphocytes expressing C-X-C chemokine receptor 3 CD8 significantly correlated with OTU1348 (Staphylococcus).
Conclusions: These findings suggest that host–microbiome interactions influence PFS and fibroblast responsiveness.
