qiita_sid_13507
A multiomics study on the effects of TRIKAFTA on CF patients
Novel small molecule therapies for cystic fibrosis (CF) are showing promising efficacy and becoming more widely available since recent FDA approval. The newest of these, Trikafta (TKT), is a triple therapy utilizing Ivacaftor, a CF transmembrane conductance regulator (CFTR) potentiator, combined with Tezacaftor and Elexacaftor, CFTR correctors. However, it is not yet known how these drugs will affect polymicrobial lung infections, which are the leading cause of morbidity and mortality among people with CF (pwCF). Here, we analyzed the sputum microbiome and metabolome from pwCF (n=24) before and after TKT therapy using 16S rRNA gene amplicon sequencing and untargeted metabolomics. The lung microbiome diversity, particularly its evenness, was increased (p = 0.044) and the microbiome profiles were different between individuals before and after therapy (PERMANOVA F=1.92, p=0.044). Despite these changes, the microbiomes were more similar within an individual than across the sampled population. There were no specific microbial taxa that were different in abundance before and after therapy, but collectively, the log-ratio of anaerobes to pathogens significantly decreased. The sputum metabolome also showed changes due to TKT. Beta-diversity increased after therapy (PERMANOVA F=4.22, p=0.022) and was characterized by greater variation across subjects while on treatment. This significant difference in the metabolome was driven by a decrease in peptides, amino acids, and metabolites from the kynurenine pathway. Metabolism of the three small molecules that make up TKT was extensive, including previously uncharacterized structural modifications. This study shows that TKT therapy affects both the microbiome and metabolome of airway mucus. This effect was stronger on sputum biochemistry, which may reflect changing niche spaces for microbial residency in lung mucus as the drug's effects take hold, which then leads to changing microbiology.Why: exploratory study, not much is known about TRIKAFTA's impact on microbiome/metabolome of CF lung Method: acquired samples pre- and post-TRIKAFTA intervention from 2 clinics for a total of 20 (subject to change) patients; 16S metagenomics (DNA extraction, PCR amplification, sequencing, analysis); metabolomics (methanol prep, LC-MS, analysis)
Novel small molecule therapies for cystic fibrosis (CF) are showing promising efficacy and becoming more widely available since recent FDA approval. The newest of these, Trikafta (TKT), is a triple therapy utilizing Ivacaftor, a CF transmembrane conductance regulator (CFTR) potentiator, combined with Tezacaftor and Elexacaftor, CFTR correctors. However, it is not yet known how these drugs will affect polymicrobial lung infections, which are the leading cause of morbidity and mortality among people with CF (pwCF). Here, we analyzed the sputum microbiome and metabolome from pwCF (n=24) before and after TKT therapy using 16S rRNA gene amplicon sequencing and untargeted metabolomics. The lung microbiome diversity, particularly its evenness, was increased (p = 0.044) and the microbiome profiles were different between individuals before and after therapy (PERMANOVA F=1.92, p=0.044). Despite these changes, the microbiomes were more similar within an individual than across the sampled population. There were no specific microbial taxa that were different in abundance before and after therapy, but collectively, the log-ratio of anaerobes to pathogens significantly decreased. The sputum metabolome also showed changes due to TKT. Beta-diversity increased after therapy (PERMANOVA F=4.22, p=0.022) and was characterized by greater variation across subjects while on treatment. This significant difference in the metabolome was driven by a decrease in peptides, amino acids, and metabolites from the kynurenine pathway. Metabolism of the three small molecules that make up TKT was extensive, including previously uncharacterized structural modifications. This study shows that TKT therapy affects both the microbiome and metabolome of airway mucus. This effect was stronger on sputum biochemistry, which may reflect changing niche spaces for microbial residency in lung mucus as the drug's effects take hold, which then leads to changing microbiology.Why: exploratory study, not much is known about TRIKAFTA's impact on microbiome/metabolome of CF lung Method: acquired samples pre- and post-TRIKAFTA intervention from 2 clinics for a total of 20 (subject to change) patients; 16S metagenomics (DNA extraction, PCR amplification, sequencing, analysis); metabolomics (methanol prep, LC-MS, analysis)