Rationale: Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease of unknown cause that leads to respiratory failure and death within 5 years of diagnosis. Overt respiratory infection and immunosuppression carry a high morbidity and mortality, and polymorphisms in genes related to epithelial integrity and host defense predispose to IPF.Objectives: To investigate the role of bacteria in the pathogenesis and progression of IPF. Methods:We prospectively enrolled patients diagnosed with IPF according to international criteria together with healthy smokers, nonsmokers, and subjects with moderate chronic obstructive pulmonary disease as control subjects. Subjects underwent bronchoalveolar lavage (BAL), from which genomic DNA was isolated. The V3-V5 region of the bacterial 16S rRNA gene was amplified, allowing quantification of bacterial load and identification of communities by 16S rRNA quantitative polymerase chain reaction and pyrosequencing.Measurements and Main Results: Sixty-five patients with IPF had double the burden of bacteria in BAL fluid compared with 44 control subjects. Baseline bacterial burden predicted the rate of decline in lung volume and risk of death and associated independently with the rs35705950 polymorphism of the MUC5B mucin gene, a proven host susceptibility factor for IPF. Sequencing yielded 912,883 high-quality reads from all subjects. We identified Haemophilus, Streptococcus, Neisseria, and Veillonella spp. to be more abundant in cases than control subjects. Regression analyses indicated that these specific operational taxonomic units as well as bacterial burden associated independently with IPF.
BackgroundInflammation and oxidative stress play critical roles in patients with chronic obstructive pulmonary disease (COPD). Mitochondrial oxidative stress might be involved in driving the oxidative stress–induced pathology.ObjectiveWe sought to determine the effects of oxidative stress on mitochondrial function in the pathophysiology of airway inflammation in ozone-exposed mice and human airway smooth muscle (ASM) cells.MethodsMice were exposed to ozone, and lung inflammation, airway hyperresponsiveness (AHR), and mitochondrial function were determined. Human ASM cells were isolated from bronchial biopsy specimens from healthy subjects, smokers, and patients with COPD. Inflammation and mitochondrial function in mice and human ASM cells were measured with and without the presence of the mitochondria-targeted antioxidant MitoQ.ResultsMice exposed to ozone, a source of oxidative stress, had lung inflammation and AHR associated with mitochondrial dysfunction and reflected by decreased mitochondrial membrane potential (ΔΨm), increased mitochondrial oxidative stress, and reduced mitochondrial complex I, III, and V expression. Reversal of mitochondrial dysfunction by the mitochondria-targeted antioxidant MitoQ reduced inflammation and AHR. ASM cells from patients with COPD have reduced ΔΨm, adenosine triphosphate content, complex expression, basal and maximum respiration levels, and respiratory reserve capacity compared with those from healthy control subjects, whereas mitochondrial reactive oxygen species (ROS) levels were increased. Healthy smokers were intermediate between healthy nonsmokers and patients with COPD. Hydrogen peroxide induced mitochondrial dysfunction in ASM cells from healthy subjects. MitoQ and Tiron inhibited TGF-β–induced ASM cell proliferation and CXCL8 release.ConclusionsMitochondrial dysfunction in patients with COPD is associated with excessive mitochondrial ROS levels, which contribute to enhanced inflammation and cell hyperproliferation. Targeting mitochondrial ROS represents a promising therapeutic approach in patients with COPD.
Clustering based on clinicophysiologic parameters yielded 4 stable and reproducible clusters that associate with different pathobiological pathways.
Background: Sputum analysis in asthma is used to define airway inflammatory processes and may guide therapy. Objective: To determine differential gene and protein expression in sputum samples from patients with severe asthma (SA) compared to mildmoderate non-smoking asthmatics (MMA). Methods: Induced sputum was obtained from non-smoking SA (SAn), smokers/ex-smokers with SA (SAsm), MMA and healthy non-smoking controls. Differential cell counts, microarray analysis of cell pellets and SOMAscan analysis of sputum analytes was performed. CRID3 was used to inhibit the inflammasome in a mouse model of severe asthma. Results: Eosinophilic and mixed neutrophilic/eosinophilic inflammation were more prevalent in SA compared to MMA. 42 genes probes were upregulated (>2-fold) in SAn compared to MMA including IL-1R family and NRLP3 inflammasome members (FDR<0.05). The inflammasome proteins NLRP1, NLRP3 and NLRC4 were associated with neutrophilic asthma and with sputum IL--13-induced Th2 signature and IL1RL1 mRNA expression. These differences were sputum-specific since no activation of NLRP3 or enrichment of IL-1R family genes in bronchial brushings or biopsies in SA was observed. Expression of NLRP3 and of the IL-1R family genes was validated in the Airway Disease Endotyping for Personalized Therapeutics (ADEPT) cohort. Inflammasome inhibition using CRID3 prevented airway hyperresponsiveness and airway inflammation (both neutrophilia and eosinophilia) in a mouse model of severe allergic asthma.Conclusion: IL1RL1 gene expression is associated with eosinophilic SA whilst NLRP3 inflammasome expression is highest in neutrophilic SA. Th2-driven eosinophilic inflammation and neutrophil-associated inflammasome activation may represent interacting pathways in SA.Imperial College of Science, Technology and Medicine We enclose a revised version of the above manscript entitled 'Sputum transcriptomics reveal upregulation of IL-1 receptor family members in severe asthma' by Rossios and collagues.We have responded to the Reviewer's comments in a point by point manner below and have incorporated the changes requested.We hope that the manuscript is now acceptable for publication. Responses to CommentsImperial College of Science, Technology and Medicine EDITOR'S SPECIFIC COMMENTS: Thank you for your thoughtful revision of this manuscript. However, I agree with Reviewer 2 in that adjusting for cell composition will allow you to determine whether your results are driven largely by differences in cellular composition or by true differences in gene expression. This will affect the interpretation of your results and provide important biological insight. Response: we have added this detail as detailed in response to Reviewers 1 and 2 below. COMMENTS FROM REVIEWER #1:The authors have addressed most of my original comments and have rewritten some sections of the manuscript to increase overall clarity. Response: We thank the Reviewer for their helpful comments which have improved the paper considerably.The one issue they did not address is...
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