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Microbial Inflammatory Networks in Bronchiectasis Exacerbators With Pseudomonas aeruginosa
Gramegna, Andrea; Narayana, Jayanth Kumar; Amati, Francesco; Stainer, Anna; Wu, Benjamin; Morlacchi, Letizia Corinna; Segal, Leopoldo N; Tsaneva-Atanasova, Krasimira; Marchisio, Paola; Chotirmall, Sanjay H; Blasi, Francesco; Aliberti, Stefano
PMID: 36803648
ISSN: 1931-3543
CID: 5433742
Pleural fluid microbiota as a biomarker for malignancy and prognosis
Kwok, Benjamin; Wu, Benjamin G; Kocak, Ibrahim F; Sulaiman, Imran; Schluger, Rosemary; Li, Yonghua; Anwer, Raheel; Goparaju, Chandra; Ryan, Daniel J; Sagatelian, Marla; Dreier, Matthew S; Murthy, Vivek; Rafeq, Samaan; Michaud, Gaetane C; Sterman, Daniel H; Bessich, Jamie L; Pass, Harvey I; Segal, Leopoldo N; Tsay, Jun-Chieh J
Malignant pleural effusions (MPE) complicate malignancies and portend worse outcomes. MPE is comprised of various components, including immune cells, cancer cells, and cell-free DNA/RNA. There have been investigations into using these components to diagnose and prognosticate MPE. We hypothesize that the microbiome of MPE is unique and may be associated with diagnosis and prognosis. We compared the microbiota of MPE against microbiota of pleural effusions from non-malignant and paramalignant states. We collected a total of 165 pleural fluid samples from 165 subjects; Benign (n = 16), Paramalignant (n = 21), MPE-Lung (n = 57), MPE-Other (n = 22), and Mesothelioma (n = 49). We performed high throughput 16S rRNA gene sequencing on pleural fluid samples and controls. We showed that there are compositional differences among pleural effusions related to non-malignant, paramalignant, and malignant disease. Furthermore, we showed differential enrichment of bacterial taxa within MPE depending on the site of primary malignancy. Pleural fluid of MPE-Lung and Mesothelioma were associated with enrichment with oral and gut bacteria that are commonly thought to be commensals, including Rickettsiella, Ruminococcus, Enterococcus, and Lactobacillales. Mortality in MPE-Lung is associated with enrichment in Methylobacterium, Blattabacterium, and Deinococcus. These observations lay the groundwork for future studies that explore host-microbiome interactions and their influence on carcinogenesis.
PMCID:9908925
PMID: 36755121
ISSN: 2045-2322
CID: 5426932
Microbial Signatures in Malignant Pleural Effusions [Meeting Abstract]
Kwok, B.; Wu, B. G.; Kocak, I. F.; Anwer, R.; Li, Y.; Goparaju, C.; Schluger, R.; Murthy, V.; Rafeq, S.; Bessich, J. L.; Tsay, J. J.; Pass, H. I.; Segal, L. N.
ISI:000792480400056
ISSN: 1073-449x
CID: 5266102
Anti-Mycobacterials and Micro-Aspiration Drive Lower Airway Dysbiosis in NTM Bronchiectasis [Meeting Abstract]
Singh, S.; Hoque, A.; Sulaiman, I.; Li, Y.; Wu, B.; Chang, M.; Kyeremateng, Y.; Collazo, D. E.; Kamelhar, D.; Addrizzo-Harris, D. J.; Segal, L. N.
ISI:000792480401435
ISSN: 1073-449x
CID: 5238232
Chronic Lower Airway Dysbiosis with Human Oral Commensals Leads to Both Increased IL-17A and Immune Exhaustion Tone in the Lower Airways [Meeting Abstract]
Chang, M.; Kyeremateng, Y.; Collazo, D.; Kocak, I.; Singh, S.; Li, Y.; Tsay, J.; Segal, L. N.; Wu, B. G.
ISI:000792480401571
ISSN: 1073-449x
CID: 5238222
The Respiratory Microbiome in Chronic Hypersensitivity Pneumonitis Is Distinct from That of Idiopathic Pulmonary Fibrosis
Invernizzi, Rachele; Wu, Benjamin G; Barnett, Joseph; Ghai, Poonam; Kingston, Shaun; Hewitt, Richard J; Feary, Johanna; Li, Yonghua; Chua, Felix; Wu, Zhe; Wells, Athol U; George, Peter M; Renzoni, Elisabetta A; Nicholson, Andrew G; Rice, Alexandra; Devaraj, Anand; Segal, Leopoldo N; Byrne, Adam J; Maher, Toby M; Lloyd, Clare M; Molyneaux, Philip L
PMID: 32692582
ISSN: 1535-4970
CID: 5883282
Lower Airway Microbiota Predicts Malignancy Recurrence of Surgically Resected Early-Stage Lung Cancer [Meeting Abstract]
Kwok, B.; Tsay, J. J.; Sulaiman, I; Wu, B. G.; Li, Y.; Pass, H., I; Segal, L. N.
ISI:000685468900076
ISSN: 1073-449x
CID: 5266092
Evaluation of the Lower Airway Microbiota in Patients with Severe SARS-CoV2 [Meeting Abstract]
Barnett, C. R.; Sulaiman, I; Tsay, J-C; Wu, B.; Krolikowski, K.; Li, Y.; Postelnicu, R.; Carpenito, J.; Rafeq, S.; Clemente, J. C.; Angel, L. F.; Mukherjee, V; Pradhan, D.; Brosnahan, S.; Lubinsky, A. S.; Yeung, S.; Jour, G.; Shen, G.; Chung, M.; Khanna, K.; Ghedin, E.; Segal, L. N.
ISI:000685468900221
ISSN: 1073-449x
CID: 5230292
Microbial signatures in the lower airways of mechanically ventilated COVID-19 patients associated with poor clinical outcome
Sulaiman, Imran; Chung, Matthew; Angel, Luis; Tsay, Jun-Chieh J; Wu, Benjamin G; Yeung, Stephen T; Krolikowski, Kelsey; Li, Yonghua; Duerr, Ralf; Schluger, Rosemary; Thannickal, Sara A; Koide, Akiko; Rafeq, Samaan; Barnett, Clea; Postelnicu, Radu; Wang, Chang; Banakis, Stephanie; Pérez-Pérez, Lizzette; Shen, Guomiao; Jour, George; Meyn, Peter; Carpenito, Joseph; Liu, Xiuxiu; Ji, Kun; Collazo, Destiny; Labarbiera, Anthony; Amoroso, Nancy; Brosnahan, Shari; Mukherjee, Vikramjit; Kaufman, David; Bakker, Jan; Lubinsky, Anthony; Pradhan, Deepak; Sterman, Daniel H; Weiden, Michael; Heguy, Adriana; Evans, Laura; Uyeki, Timothy M; Clemente, Jose C; de Wit, Emmie; Schmidt, Ann Marie; Shopsin, Bo; Desvignes, Ludovic; Wang, Chan; Li, Huilin; Zhang, Bin; Forst, Christian V; Koide, Shohei; Stapleford, Kenneth A; Khanna, Kamal M; Ghedin, Elodie; Segal, Leopoldo N
Respiratory failure is associated with increased mortality in COVID-19 patients. There are no validated lower airway biomarkers to predict clinical outcome. We investigated whether bacterial respiratory infections were associated with poor clinical outcome of COVID-19 in a prospective, observational cohort of 589 critically ill adults, all of whom required mechanical ventilation. For a subset of 142 patients who underwent bronchoscopy, we quantified SARS-CoV-2 viral load, analysed the lower respiratory tract microbiome using metagenomics and metatranscriptomics and profiled the host immune response. Acquisition of a hospital-acquired respiratory pathogen was not associated with fatal outcome. Poor clinical outcome was associated with lower airway enrichment with an oral commensal (Mycoplasma salivarium). Increased SARS-CoV-2 abundance, low anti-SARS-CoV-2 antibody response and a distinct host transcriptome profile of the lower airways were most predictive of mortality. Our data provide evidence that secondary respiratory infections do not drive mortality in COVID-19 and clinical management strategies should prioritize reducing viral replication and maximizing host responses to SARS-CoV-2.
PMID: 34465900
ISSN: 2058-5276
CID: 4998422
The effect of lower airway dysbiosis on pd-1 therapy in lung cancer [Meeting Abstract]
Tsay, J J; Wu, B; Pillai, R; Sulaiman, I; Carpenito, J; Li, Y; Segal, L N
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
EMBASE:635307037
ISSN: 1535-4970
CID: 4915732