A restructuring of microbiome niche space is associated with Elexacaftor-Tezacaftor-Ivacaftor therapy in the cystic fibrosis lung

•Elexacaftor-Tezacaftor-Ivacaftor (ETI) therapy alters the microbiome and metabolome of lung sputum within the first year of therapy•Alpha-diversity of the microbiome increased, and the metabolome becomes highly varied across subjects while on therapy•No single bacterium was significantly different...

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Veröffentlicht in:Journal of cystic fibrosis 2022-11, Vol.21 (6), p.996-1005
Hauptverfasser: Sosinski, Lo M., H, Christian Martin, Neugebauer, Kerri A., Ghuneim, Lydia-Ann J., Guzior, Douglas V., Castillo-Bahena, Alicia, Mielke, Jenna, Thomas, Ryan, McClelland, Marc, Conrad, Doug, Quinn, Robert A.
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container_end_page 1005
container_issue 6
container_start_page 996
container_title Journal of cystic fibrosis
container_volume 21
creator Sosinski, Lo M.
H, Christian Martin
Neugebauer, Kerri A.
Ghuneim, Lydia-Ann J.
Guzior, Douglas V.
Castillo-Bahena, Alicia
Mielke, Jenna
Thomas, Ryan
McClelland, Marc
Conrad, Doug
Quinn, Robert A.
description •Elexacaftor-Tezacaftor-Ivacaftor (ETI) therapy alters the microbiome and metabolome of lung sputum within the first year of therapy•Alpha-diversity of the microbiome increased, and the metabolome becomes highly varied across subjects while on therapy•No single bacterium was significantly different before and after ETI, but the ratio of pathogens to anaerobes significantly decreased•The largest changes were seen in the metabolome as decreases in the abundance of peptides and amino acids•These metabolite changes associated with a decrease in classic CF pathogens Elexacaftor-Tezacaftor-Ivacaftor (ETI) therapy is showing promising efficacy for treatment of cystic fibrosis (CF) and is becoming more widely available since recent FDA approval. However, little is known about how these drugs will affect lung infections, which are the leading cause of morbidity and mortality among people with CF (pwCF). We analyzed sputum microbiome and metabolome data from pwCF (n=24) before and after ETI therapy using 16S rRNA gene sequencing and untargeted metabolomics. The sputum microbiome diversity, particularly its evenness, was increased (p=0.036) and the microbiome profiles were different between individuals before and after therapy (PERMANOVA F=1.92, p=0.044). Despite these changes, the microbiomes remained more similar within an individual than across the sampled population. No specific microbial taxa differed in relative abundance before and after therapy, but the collective log-ratio of classic CF pathogens to anaerobes significantly decreased (p=0.013). The sputum metabolome also showed changes associated with ETI (PERMANOVA F=4.22, p=0.002) and was characterized by greater variation across subjects while on treatment. Changes in the metabolome were driven by a decrease in peptides, amino acids, and metabolites from the kynurenine pathway, which were associated with a decrease in CF pathogens. Metabolism of the three small molecules that make up ETI was extensive, including previously uncharacterized structural modifications. ETI therapy is associated with a changing microbiome and metabolome in airway mucus. This effect was stronger on sputum biochemistry, which may reflect changing niche space for microbial residency in lung mucus as the drug's effects take hold. This project was funded by a National Institute of Allergy and Infectious Disease Grant R01AI145925
doi_str_mv 10.1016/j.jcf.2021.11.003
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However, little is known about how these drugs will affect lung infections, which are the leading cause of morbidity and mortality among people with CF (pwCF). We analyzed sputum microbiome and metabolome data from pwCF (n=24) before and after ETI therapy using 16S rRNA gene sequencing and untargeted metabolomics. The sputum microbiome diversity, particularly its evenness, was increased (p=0.036) and the microbiome profiles were different between individuals before and after therapy (PERMANOVA F=1.92, p=0.044). Despite these changes, the microbiomes remained more similar within an individual than across the sampled population. No specific microbial taxa differed in relative abundance before and after therapy, but the collective log-ratio of classic CF pathogens to anaerobes significantly decreased (p=0.013). The sputum metabolome also showed changes associated with ETI (PERMANOVA F=4.22, p=0.002) and was characterized by greater variation across subjects while on treatment. 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However, little is known about how these drugs will affect lung infections, which are the leading cause of morbidity and mortality among people with CF (pwCF). We analyzed sputum microbiome and metabolome data from pwCF (n=24) before and after ETI therapy using 16S rRNA gene sequencing and untargeted metabolomics. The sputum microbiome diversity, particularly its evenness, was increased (p=0.036) and the microbiome profiles were different between individuals before and after therapy (PERMANOVA F=1.92, p=0.044). Despite these changes, the microbiomes remained more similar within an individual than across the sampled population. No specific microbial taxa differed in relative abundance before and after therapy, but the collective log-ratio of classic CF pathogens to anaerobes significantly decreased (p=0.013). The sputum metabolome also showed changes associated with ETI (PERMANOVA F=4.22, p=0.002) and was characterized by greater variation across subjects while on treatment. 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subjects Aminophenols - therapeutic use
Benzodioxoles - therapeutic use
Cystic Fibrosis
Cystic Fibrosis - genetics
Cystic Fibrosis Transmembrane Conductance Regulator - genetics
Humans
Lung - metabolism
Metabolome
Microbiome
Microbiota
RNA, Ribosomal, 16S - genetics
Sputum
Trikafta
title A restructuring of microbiome niche space is associated with Elexacaftor-Tezacaftor-Ivacaftor therapy in the cystic fibrosis lung
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