Faculty Bibliography

Rational Recent investigations support that the gut microbiota influences anti-PD-1 cancer immunotherapy. Lower airway dysbiosis with enrichment with oral commensals are associated with lung cancer. Recently we had shown, in both a prospective human cohort and preclinical mice model, that lung dysbiotic signatures were associated with clinical lung cancer prognosis and progression. To further understand the role of lung dysbiosis in lung cancer, we examined the role of PD-1 expression and anti- PD treatment in a lung cancer and lung dysbiotic model. Method KrasLSL-G12D/+;p53fl/fl Non-small cell Lung Cancer mice (KP) were challenged with an oral commensal, Veillonella parvula, through intra-tracheal inoculation and exposed to immune inhibition (anti- PD-1). Measurements included tumor burden and lower airway inflammatory markers (PD-1 expression and neutrophils) by FACS. Results In a preclinical lung cancer model, inoculation with Veillonella parvula, a marker taxon for the dysbiotic signature found in humans, led to: 1) decrease survival with increase tumor burden; 2) dysbiosis with oral commensal is associated with elevated level of PD-1 expression and neutrophils level compared to control. With exposure to PD-1 inhibition we observe a reverse of tumor growth (at day 7); there was significant decrease in tumor growth compared with Isotype-control (p=0.030, day7-14) and observed that PD-1+ level (p=0.0007) and Neutrophil level (p=0.0027) were lower as well. Discussion Our study suggests that lower airway dysbiosis induced by microaspiration of oral commensals may affect lung carcinogenesis due to increase in inflammatory markers and increase in the checkpoint inhibitor tone in the lower airways that may lead to suboptimal immune surveillance. These effects of lower airway dysbiosis can be partially blunted by PD-1 blockade. These data supports that treatment in lung cancer may be influenced by lower airway dysbiosis and dynamic changes in the microbial-host interaction in the lower airways

Rationale: Chronic airway colonization and recurrent infections are common in advanced stage chronic obstructive pulmonary disease (COPD). However, changes in the lung microbiota in early stages of this disease remain unclear. Here, we characterized the upper and lower airway microbiota of patients with early stage COPD and smoker controls.
Method(s): Upper and lower airway samples (plus appropriate environmental and technical controls) were obtained from patients with GOLD 1-2 COPD (n = 26) and smoker controls (n = 31). Bacterial load was measured with droplet digital PCR while microbiota profiling was performed using 16S rRNA gene sequencing. Data was analyzed using QIIME, Phyloseq, Vegan and DESeq. Parallel RNA metatranscriptome sequencing and host Transcriptome approach were just completed and data is becoming available.
Result(s): Characterization of the lower airway microbial communities with 16S rRNA gene sequencing showed that compared to smoker controls, COPD patients exhibited lower alpha Shannon diversity (Fig.1a, p = 0.0037). Beta diversity analysis based on Bray Curtis Dissimilarity index showed that the composition of the microbial communities in the lower airway samples were clearly distinct from background and upper airway as a whole. Some samples overlapped with both of those areas suggesting that for some subjects their lower airway microbiota was enriched with taxa commonly found in the oral cavity. We then evaluated for differentially enriched taxa in BAL samples using DESeq. The lower airway microbiota of subjects with COPD was enriched with oral commensals such as Veillonella, Prevotella (Fig 1c). Comparison of bacterial load based on bacterial composition was performed based on cluster determination of lower airway samples enriched with oral commensals (SPT for supraglottic predominant taxa) or enriched with background taxa (BPT for background predominant taxa). The bacterial load of lower airway samples categorized as SPT was one log higher than those categorized as BPT among the COPD group but not among the smoker controls (Fig.1d, p < 0.001).
Conclusion(s): Our results suggest that lower airway exposure to oral commensals occurs more frequently among subjects with COPD. Further investigation with functional microbiome approaches such as metatranscriptomics are warranted. This may be of importance given significant data showing that these taxa may contribute to an increase in lower airway inflammatory tone (especially in the Th17 pathway) that may lead to airway/parenchymal inflammatory damage and/or affect treatment response and clinical outcome in this disease

Since alterations in the intestinal microbiota may induce systemic inflammation and polarization of macrophages to the M1 state, the microbiome role in atherosclerosis, an M1-driven disease, requires evaluation. We aimed to determine if antibiotic (Abx) induced alterations to the intestinal microbiota interferes with atherosclerotic plaque inflammation resolution after lipid-lowering in mice. Hyperlipidemic Apoe^-/- mice were fed a western diet to develop aortic atherosclerosis with aortas then transplanted into normolipidemic wild-type (WT) mice to model clinically aggressive lipid management and promote atherosclerosis inflammation resolution. Gut microbial composition pre and post-transplant was altered via an enteral antibiotic or not. Post aortic transplant, after Abx treatment, while plaque size did not differ, compared to Apoe^-/- mice, Abx^- WT recipient mice had a 32% reduction in CD68-expressing cells (p = 0.02) vs. a non-significant 12% reduction in Abx⁺ WT mice. A trend toward an M1 plaque CD68-expresing cell phenotype was noted in Abx⁺ mice. By 16S rRNA sequence analysis, the Abx⁺ mice had reduced alpha diversity and increased Firmicutes/Bacteroidetes relative abundance ratio with a correlation between gut Firmicutes abundance and plaque CD68-expressing cell content (p < 0.05). These results indicate that in a murine atherosclerotic plaque inflammation resolution model, antibiotic-induced microbiome perturbation may blunt the effectiveness of lipid-lowering to reduce the content of plaque inflammatory CD68-expressing cells.

Mortality among patients with COVID-19 and respiratory failure is high and there are no known lower airway biomarkers that predict clinical outcome. We investigated whether bacterial respiratory infections and viral load were associated with poor clinical outcome and host immune tone. We obtained bacterial and fungal culture data from 589 critically ill subjects with COVID-19 requiring mechanical ventilation. On a subset of the subjects that underwent bronchoscopy, we also quantified SARS-CoV-2 viral load, analyzed the microbiome of the lower airways by metagenome and metatranscriptome analyses and profiled the host immune response. We found that isolation of a hospital-acquired respiratory pathogen was not associated with fatal outcome. However, poor clinical outcome was associated with enrichment of the lower airway microbiota with an oral commensal ( Mycoplasma salivarium ), while high SARS-CoV-2 viral burden, poor anti-SARS-CoV-2 antibody response, together with a unique host transcriptome profile of the lower airways were most predictive of mortality. Collectively, these data support the hypothesis that 1) the extent of viral infectivity drives mortality in severe COVID-19, and therefore 2) clinical management strategies targeting viral replication and host responses to SARS-CoV-2 should be prioritized.

Mortality among patients with COVID-19 and respiratory failure is high and there are no known lower airway biomarkers that predict clinical outcome. We investigated whether bacterial respiratory infections and viral load were associated with poor clinical outcome and host immune tone. We obtained bacterial and fungal culture data from 589 critically ill subjects with COVID-19 requiring mechanical ventilation. On a subset of the subjects that underwent bronchoscopy, we also quantified SARS-CoV-2 viral load, analyzed the microbiome of the lower airways by metagenome and metatranscriptome analyses and profiled the host immune response. We found that isolation of a hospital-acquired respiratory pathogen was not associated with fatal outcome. However, poor clinical outcome was associated with enrichment of the lower airway microbiota with an oral commensal ( Mycoplasma salivarium ), while high SARS-CoV-2 viral burden, poor anti-SARS-CoV-2 antibody response, together with a unique host transcriptome profile of the lower airways were most predictive of mortality. Collectively, these data support the hypothesis that 1) the extent of viral infectivity drives mortality in severe COVID-19, and therefore 2) clinical management strategies targeting viral replication and host responses to SARS-CoV-2 should be prioritized.

In lung cancer, enrichment of the lower airway microbiota with oral commensals commonly occurs and ex vivo models support that some of these bacteria can trigger host transcriptomic signatures associated with carcinogenesis. Here, we show that this lower airway dysbiotic signature was more prevalent in group IIIB-IV TNM stage lung cancer and is associated with poor prognosis, as shown by decreased survival among subjects with early stage disease (I-IIIA) and worse tumor progression as measured by RECIST scores among subjects with IIIB-IV stage disease. In addition, this lower airway microbiota signature was associated with upregulation of IL-17, PI3K, MAPK and ERK pathways in airway transcriptome, and we identified Veillonella parvula as the most abundant taxon driving this association. In a KP lung cancer model, lower airway dysbiosis with V. parvula led to decreased survival, increased tumor burden, IL-17 inflammatory phenotype and activation of checkpoint inhibitor markers.

INTRODUCTION/BACKGROUND:Workers' exposure to metalworking fluid (MWF) has been associated with respiratory disease. As part of a public health investigation of a manufacturing facility, we performed paired environmental and human sampling to evaluate cross-pollination of microbes between environment and host and possible effects on lung pathology present among workers. METHODS:Workplace environmental microbiota was evaluated in air and MWF samples. Human microbiota was evaluated in lung tissue samples from workers with respiratory symptoms found to have lymphocytic bronchiolitis and alveolar ductitis with B-cell follicles and emphysema, lung tissue controls, and in skin, nasal and oral samples from 302 workers from different areas of the facility. In vitro effects of MWF exposure on murine B-cells were assessed. RESULTS:Increased similarity of microbial composition was found between MWF samples and lung tissue samples of case workers compared to controls. Among workers in different locations within the facility, those that worked in machine shop area had skin, nasal and oral microbiota more closely related to the microbiota present in MWF samples. Lung samples from four index cases, and skin and nasal samples from workers in machine shop area were enriched with Pseudomonas, the dominant taxa in MWF. Exposure to used MWF stimulated murine B-cell proliferation in vitro, a hallmark cell subtype found in pathology of index cases. CONCLUSIONS:Evaluation of a manufacturing facility with a cluster of workers with respiratory disease supports cross-pollination of microbes from MWF to humans and suggests the potential for exposure to these microbes to be a health hazard.

INTRODUCTION/BACKGROUND:Neutrophilic inflammation is a major driver of bronchiectasis pathophysiology, and neutrophil elastase activity is the most promising biomarker evaluated in sputum to date. How active neutrophil elastase correlates with lung microbiome in bronchiectasis is still unexplored. We aimed at understanding if active neutrophil elastase is associated with low microbial diversity and distinct microbiome characteristics. METHODS:An observational, cross-sectional study was conducted at the Bronchiectasis Program of the Policlinico Hospital in Milan, Italy, where adults with bronchiectasis were enrolled between March 2017 and March 2019. Active neutrophil elastase was measured on sputum collected during stable state, microbiota analysed through 16S rRNA gene sequencing, molecular assessment of respiratory pathogens through real time PCR and clinical data collected. MEASUREMENTS AND MAIN RESULTS/RESULTS:with elevated active neutrophil elastase was found based on standard culture and targeted real-time PCR. CONCLUSIONS:infection.