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ABSTRACT: Comparison of the Sputum Microbiome

PROVIDER: PRJNA1048558 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR27051523_1.fastq.gz	Fastqsanger.gz
	SRR27051523_2.fastq.gz	Fastqsanger.gz
	SRR27051524_1.fastq.gz	Fastqsanger.gz
	SRR27051524_2.fastq.gz	Fastqsanger.gz
	SRR27051525_1.fastq.gz	Fastqsanger.gz

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Project description:COMPARISON OF SPUTUM MICROBIOME

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Association of sputum microbiome with exacerbations, patient subgroups and host response in chronic obstructive pulmonary disease

Project description:Little is known about the lung microbiome dynamics and host-microbiome interactions in relation to chronic obstructive pulmonary disease (COPD) exacerbations and in patient subgroups based on smoking status and disease severity. Here we performed a 16S ribosomal RNA survey on sputum microbiome from 16 healthy and 43 COPD subjects. For COPD subjects, a longitudinal sampling was performed from stable state to exacerbations, at two and six weeks post-exacerbations and at six months from first stable visit. Host sputum transcriptome were characterized for a subset of COPD patient samples.

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Project description:Rationale: We recently demonstrated that the triple combination CFTR modulator therapy elexacaftor/tezacaftor/ivacaftor (ELX/TEZ/IVA) improves lung ventilation and airway mucus plugging determined by multiple-breath washout and magnetic resonance imaging in CF patients with at least one F508del allele. However, effects of ELX/TEZ/IVA on viscoelastic properties of airway mucus, chronic airway infection and inflammation have not been studied. Objectives: To examine the effects of ELX/TEZ/IVA on airway mucus rheology, microbiome and inflammation in CF patients with one or two F508del alleles aged 12 years and older. Methods: In this prospective observational study, we determined sputum rheology, microbiome, inflammation markers and proteome before and 1, 3 and 12 months after initiation of ELX/TEZ/IVA. Measurements and Main Results: CF patients with at least one F508del allele and healthy controls were enrolled in this study. ELX/TEZ/IVA improved the elastic and viscous modulus of CF sputum. Further, ELX/TEZ/IVA improved the microbiome α-diversity and decreased the relative abundance of Pseudomonas aeruginosa (P<0.05) in CF sputum. ELX/TEZ/IVA also reduced IL-8 and free NE activity, and shifted the CF sputum proteome towards healthy. Conclusions: Our data demonstrate that ELX/TEZ/IVA improves sputum viscoelastic properties, chronic airway infection and inflammation in CF patients with at least one F508del allele, however, without reaching levels close to healthy.

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Project description:P. aeruginosa was cultured in a MultiScreen-Mesh plate, which has a filter at the bottom of the wells. The plate was immersed in either in medium alone (control) or in medium inoculated with a mixture of five bacterial strains commonly found in cystic fibrosis sputum (\"microbiome\"). The filter prevented physical contact between P. aeruginosa and the other bacteria, yet soluble products could migrate through the filter into the P. aeruginosa biofilm. P. aeruginosa was then allowed to form biofilms in the wells for 72h, then the biofilm was harvested and a fraction of the harvested cells were used for re-inoculations. This was repeated for 18 cycles for a total of 54 days.

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Project description:Objectives: To identify transcriptomic differences in the blood and sputum of e-cigarette users compared to conventional cigarettes smokers and healthy controls and describe biological pathways affected by these tobacco products. Methods: Cross-sectional analysis of whole blood and sputum RNA-sequencing data from 8 smokers, 9 e-cigarette users (e-cigs) and 4 controls. Weighted gene co-network analysis (WGCNA) identified gene module associations. Ingenuity Pathway Analysis (IPA) identified canonical pathways associated with tobacco products. Main Results: In blood, a three-group comparison showed 16 differentially expressed genes (DEGs); pair-wise comparison showed 7 DEGs between e-cigs and controls, 35 DEGs between smokers and controls, and 13 DEGs between smokers and e-cigs. In sputum, 438 DEGs were in the three-group comparison. In pair-wise comparisons, there were 2 DEGs between e-cigs and controls, 270 DEGs between smokers and controls, and 468 DEGs between smokers and e-cigs. Only 2 genes in the smokers vs. control comparison overlapped between blood and sputum. Most gene modules identified through WGCNA associated with tobacco product exposures also were associated with cotinine and exhaled CO levels. IPA showed multiple canonical pathways altered by conventional smoking but none by e-cigarette use. Conclusion: Cigarette smoking and e-cigarette use led to transcriptomic changes in both blood and sputum. However, conventional cigarettes induced much stronger transcriptomic responses in both compartments.

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