IL-33 mediates Pseudomonas induced airway fibrogenesis and is associated with CLAD.

BACKGROUND: Long term outcomes of lung transplantation are impacted by the occurrence of chronic lung allograft dysfunction (CLAD). Recent evidence suggests a role for the lung microbiome in the occurrence of CLAD, but the exact mechanisms are not well defined. We hypothesize that the lung microbiome inhibits epithelial autophagic clearance of pro-fibrotic proteins in an IL-33 dependent manner, thereby augmenting fibrogenesis and risk for CLAD. METHODS: Autopsy derived CLAD and non-CLAD lungs were collected. IL-33, P62 and LC3 immunofluorescence was performed and assessed using confocal microscopy. Pseudomonas aeruginosa (PsA), Streptococcus Pneumoniae (SP), Prevotella Melaninogenica (PM), recombinant IL-33 or PsA-lipopolysaccharide was co-cultured with primary human bronchial epithelial cells (PBEC) and lung fibroblasts in the presence or absence of IL-33 blockade. Western blot analysis and quantitative reverse transcription (qRT) PCR was performed to evaluate IL-33 expression, autophagy, cytokines and fibroblast differentiation markers. These experiments were repeated after siRNA silencing and upregulation (plasmid vector) of Beclin-1. RESULTS: Human CLAD lungs demonstrated markedly increased expression of IL-33 and reduced basal autophagy compared to non-CLAD lungs. Exposure of co-cultured PBECs to PsA, SP induced IL-33, and inhibited PBEC autophagy, while PM elicited no significant response. Further, PsA exposure increased myofibroblast differentiation and collagen formation. IL-33 blockade in these co-cultures recovered Beclin-1, cellular autophagy and attenuated myofibroblast activation in a Beclin-1 dependent manner. CONCLUSION: CLAD is associated with increased airway IL-33 expression and reduced basal autophagy. PsA induces a fibrogenic response by inhibiting airway epithelial autophagy in an IL-33 dependent manner.

Single-cell transcriptome mapping identifies a local, innate B cell population driving chronic rejection after lung transplantation.

Bronchiolitis obliterans syndrome (BOS) is the main reason for poor outcomes after lung transplantation (LTx). We and others have recently identified B cells as major contributors to BOS after LTx. The extent of B cell heterogeneity and the relative contributions of B cell subpopulations to BOS, however, remain unclear. Here, we provide a comprehensive analysis of cell population changes and their gene expression patterns during chronic rejection after orthotopic LTx in mice. Of 11 major cell types, Mzb1-expressing plasma cells (PCs) were the most prominently increased population in BOS lungs. These findings were validated in 2 different cohorts of human BOS after LTx. A Bhlhe41, Cxcr3, and Itgb1 triple-positive B cell subset, also expressing classical markers of the innate-like B-1 B cell population, served as the progenitor pool for Mzb1+ PCs. This subset accounted for the increase in IgG2c production within BOS lung grafts. A genetic lack of Igs decreased BOS severity after LTx. In summary, we provide a detailed analysis of cell population changes during BOS. IgG+ PCs and their progenitors - an innate B cell subpopulation - are the major source of local Ab production and a significant contributor to BOS after LTx.

N-myc-interactor mediates microbiome induced epithelial to mesenchymal transition and is associated with chronic lung allograft dysfunction.

BACKGROUND: Recent evidence suggests a role for lung microbiome in occurrence of chronic lung allograft dysfunction (CLAD). However, the mechanisms linking the microbiome to CLAD are poorly delineated. We investigated a possible mechanism involved in microbial modulation of mucosal response leading to CLAD with the hypothesis that a Proteobacteria dominant lung microbiome would inhibit N-myc-interactor (NMI) expression and induce epithelial to mesenchymal transition (EMT). METHODS: Explant CLAD, non-CLAD, and healthy nontransplant lung tissue were collected, as well as bronchoalveolar lavage from 14 CLAD and matched non-CLAD subjects, which were followed by 16S rRNA amplicon sequencing and quantitative polymerase chain reaction (PCR) analysis. Pseudomonas aeruginosa (PsA) or PsA-lipopolysaccharide was cocultured with primary human bronchial epithelial cells (PBEC). Western blot analysis and quantitative reverse transcription (qRT) PCR was performed to evaluate NMI expression and EMT in explants and in PsA-exposed PBECs. These experiments were repeated after siRNA silencing and upregulation (plasmid vector) of EMT regulator NMI. RESULTS: 16S rRNA amplicon analyses revealed that CLAD patients have a higher abundance of phyla Proteobacteria and reduced abundance of the phyla Bacteroidetes. At the genera level, CLAD subjects had an increased abundance of genera Pseudomonas and reduced Prevotella. Human CLAD airway cells showed a downregulation of the N-myc-interactor gene and presence of EMT. Furthermore, exposure of human primary bronchial epithelial cells to PsA resulted in downregulation of NMI and induction of an EMT phenotype while NMI upregulation resulted in attenuation of this PsA-induced EMT response. CONCLUSIONS: CLAD is associated with increased bacterial biomass and a Proteobacteria enriched airway microbiome and EMT. Proteobacteria such as PsA induces EMT in human bronchial epithelial cells via NMI, demonstrating a newly uncovered mechanism by which the microbiome induces cellular metaplasia.

Recipient Age Impacts Long-Term Survival in Adult Subjects with Cystic Fibrosis after Lung Transplantation.

Rationale: Lung transplant is an effective treatment option providing survival benefit in patients with cystic fibrosis (CF). Several studies have suggested survival benefit in adults compared with pediatric patients with CF undergoing lung transplant. However, it remains unclear whether this age-related disparity persists in adult subjects with CF.Objectives: We investigated the impact of age at transplant on post-transplant outcomes in adult patients with CF.Methods: The United Network of Organ Sharing Registry was queried for all adult patients with CF who underwent lung transplantation between 1992 and 2016. Pertinent baseline characteristics, demographics, clinical parameters, and outcomes were recorded. The patients were divided into two groups based on age at transplant (18-29 yr old and 30 yr or older). The primary endpoint was survival time. Assessment of post-transplant survival was performed using Kaplan-Meier tests and log-rank tests with multivariable Cox proportional hazards analysis to adjust for confounding variables.Results: A total of 3,881 patients with CF underwent lung transplantation between 1992 and 2016; mean age was 31.0 (± 9.3) years. The 18-29-year-old at transplant cohort consisted of 2,002 subjects and the 30 years or older cohort had 1,879 subjects. Survival analysis demonstrated significantly higher survival in subjects in the 30 years or older cohort (9.47 yr; 95% confidence interval [CI], 8.7-10.2) compared with the 18-29-year-old cohort (5.21 yr; 95% CI, 4.6-5.8). After adjusting for confounders, survival remained higher in recipients aged 30 years or older (hazard ratio, 0.44; 95% CI, 0.2-0.9). Mortality due to allograft failure was significantly lower in patients with CF aged 30 years or older (28% vs. 36.5%; odds ratio [OR], 0.7; 95% CI, 0.6-0.8), whereas the incidence of malignancy was higher in the 30 years or older cohort (8% vs. 2.9%; OR, 3.0; 95% CI, 1.9-4.6).Conclusions: Age at transplant influences lung transplant outcomes in recipients with CF. Subjects with CF aged 30 years or older at transplant have superior survival compared with adult subjects with CF transplanted between the ages 18 and 29 years.

Differences in airway microbiome and metabolome of single lung transplant recipients.

BACKGROUND: Recent studies suggest that alterations in lung microbiome are associated with occurrence of chronic lung diseases and transplant rejection. To investigate the host-microbiome interactions, we characterized the airway microbiome and metabolome of the allograft (transplanted lung) and native lung of single lung transplant recipients. METHODS: BAL was collected from the allograft and native lungs of SLTs and healthy controls. 16S rRNA microbiome analysis was performed on BAL bacterial pellets and supernatant used for metabolome, cytokines and acetylated proline-glycine-proline (Ac-PGP) measurement by liquid chromatography-high-resolution mass spectrometry. RESULTS: In our cohort, the allograft airway microbiome was distinct with a significantly higher bacterial burden and relative abundance of genera Acinetobacter & Pseudomonas. Likewise, the expression of the pro-inflammatory cytokine VEGF and the neutrophil chemoattractant matrikine Ac-PGP in the allograft was significantly higher. Airway metabolome distinguished the native lung from the allografts and an increased concentration of sphingosine-like metabolites that negatively correlated with abundance of bacteria from phyla Proteobacteria. CONCLUSIONS: Allograft lungs have a distinct microbiome signature, a higher bacterial biomass and an increased Ac-PGP compared to the native lungs in SLTs compared to the native lungs in SLTs. Airway metabolome distinguishes the allografts from native lungs and is associated with distinct microbial communities, suggesting a functional relationship between the local microbiome and metabolome.

Variation in the rapid shallow breathing index associated with common measurement techniques and conditions.

BACKGROUND: The rapid-shallow-breathing index (RSBI) is widely used to evaluate mechanically ventilated patients for weaning and extubation, but it is determined in different clinical centers in a variety of ways, under conditions that are not always comparable. We hypothesized that the value of RSBI may be significantly influenced by common variations in measurement conditions and technique. METHODS: Sixty patients eligible for a weaning evaluation after >or=72 hours of mechanical ventilation were studied over 15 months in a medical intensive care unit. RSBI was measured while the patients were on 2 different levels of ventilator support: 5 cm H2O continuous positive airway pressure (CPAP) versus T-piece. RSBI was also calculated in 2 different ways: using the values of minute ventilation and respiratory rate provided by the digital output of the ventilator, versus values obtained manually with a Wright spirometer. Finally, RSBI was measured at 2 different times of the day. RESULTS: RSBI was significantly less when measured on 5 cm H2O CPAP, compared to T-piece: the medians and interquartile ranges were 71 (52-88) breaths/min/L versus 90 (59-137) breaths/min/L, respectively (P<.001). There were no significant differences in the value of RSBI obtained using ventilator-derived versus manual measures of the breathing pattern. RSBI was also not significantly different in the morning versus evening measurements. CONCLUSIONS: RSBI can be significantly affected by the level of ventilator support, but is relatively unaffected by both the technique used to determine the breathing pattern and the time of day at which it is measured.