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1.
J Cyst Fibros ; 20(5): 742-746, 2021 09.
Article in English | MEDLINE | ID: mdl-33390317

ABSTRACT

Studies have demonstrated that people with CF with pancreatic insufficiency (PI) have fecal dysbioses. Evidence suggests the causes of these dysbioses are multifactorial, and that important drivers include antibiotic exposure, dietary intake, and CF gastrointestinal tract dysfunction, including nutrient malabsorption. In this pilot study, we tested whether initiation of the CFTR modulator treatments ivacaftor (in a cohort of pancreatic sufficient (PS) people with CF and an R117H CFTR variant) or lumacaftor/ivacaftor (in a cohort of PI people with CF and an F508del variant) changed fecal measures of malabsorption or fecal microbiomes. While we identified no statistically significant fecal changes with either treatment, we detected trends in the PI cohort when initiating lumacaftor/ivacaftor towards decreased fecal fat content and towards fecal microbiomes that more closely resembled the fecal microbiota of people without PI. While these findings support a model in which nutrient malabsorption resulting from CF-induced PI drives fecal dysbiosis, they must be validated in future, larger studies of fecal microbiome and malabsorption outcomes with highly effective CFTR modulator therapies.


Subject(s)
Aminophenols/therapeutic use , Cystic Fibrosis/drug therapy , Cystic Fibrosis/microbiology , Feces/microbiology , Microbiota/drug effects , Quinolones/therapeutic use , Adolescent , Adult , Anti-Bacterial Agents/therapeutic use , Child , Chloride Channel Agonists/therapeutic use , Cystic Fibrosis Transmembrane Conductance Regulator , Exocrine Pancreatic Insufficiency/microbiology , Humans , Pilot Projects , Young Adult
2.
Bioinformatics ; 27(17): 2429-30, 2011 Sep 01.
Article in English | MEDLINE | ID: mdl-21765097

ABSTRACT

MOTIVATION: The Prokaryotic-genome Analysis Tool (PGAT) is a web-based database application for comparing gene content and sequence across multiple microbial genomes facilitating the discovery of genetic differences that may explain observed phenotypes. PGAT supports database queries to identify genes that are present or absent in user-selected genomes, comparison of sequence polymorphisms in sets of orthologous genes, multigenome display of regions surrounding a query gene, comparison of the distribution of genes in metabolic pathways and manual community annotation. AVAILABILITY AND IMPLEMENTATION: The PGAT website may be accessed at http://nwrce.org/pgat. CONTACT: mbrittna@uw.edu.


Subject(s)
Genome, Bacterial , Genomics/methods , Software , Data Mining , Databases, Nucleic Acid , Genes, Bacterial , Internet , Metabolic Networks and Pathways/genetics , Polymorphism, Genetic
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