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

被引:34
|
作者
Sosinski, Lo M. [1 ]
Martin, Christian H. [1 ]
Neugebauer, Kerri A. [1 ]
Ghuneim, Lydia-Ann J. [1 ]
Guzior, Douglas, V [2 ]
Castillo-Bahena, Alicia [3 ]
Mielke, Jenna [4 ]
Thomas, Ryan [5 ]
McClelland, Marc [3 ]
Conrad, Doug [4 ]
Quinn, Robert A. [1 ]
机构
[1] Michigan State Univ, Dept Biochem & Mol Biol, E Lansing, MI 48824 USA
[2] Michigan State Univ, Dept Microbiol & Mol Genet, E Lansing, MI 48824 USA
[3] Spectrum Hlth, Grand Rapids, MI USA
[4] Univ Calif San Diego, Dept Med, La Jolla, CA 92093 USA
[5] Michigan State Univ, Dept Pediat & Human Dev, E Lansing, MI 48824 USA
关键词
Cystic Fibrosis; Sputum; Microbiome; Metabolome; Trikafta; PSEUDOMONAS-AERUGINOSA; MASS-SPECTROMETRY; SPUTUM; MEDIATORS;
D O I
10.1016/j.jcf.2021.11.003
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background: 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). Methods: We analyzed sputum microbiome and metabolome data from pwCF (n=24) before and after ETI therapy using 16S rRNA gene sequencing and untargeted metabolomics. Results: 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. Conclusions: 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. (c) 2021 The Author(s). Published by Elsevier B.V. on behalf of European Cystic Fibrosis Society. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码:996 / 1005
页数:10
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