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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Pediatric Pulmonolog...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Pediatric Pulmonology
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
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Metabolomic responses to lumacaftor/ivacaftor in cystic fibrosis

Authors: Benjamin T. Kopp; Scott McCulloch; Chandra L. Shrestha; Shuzhong Zhang; Lisa Sarzynski; Frederick W. Woodley; Don Hayes;

Metabolomic responses to lumacaftor/ivacaftor in cystic fibrosis

Abstract

AbstractBackgroundCystic fibrosis (CF) is a life‐limiting disease caused by a defect in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. Lumacaftor/Ivacaftor is a novel CFTR modulator approved for patients that are homozygous for Phe508del CFTR, but its clinical effectiveness varies amongst patients, making it difficult to determine clinical responders. Therefore, identifying biochemical biomarkers associated with drug response are clinically important for follow‐up studies.MethodsSerum metabolomics was performed on twenty patients with CF pre‐ and 6‐month post‐Lumacaftor/Ivacaftor response via Ultrahigh Performance Liquid Chromatography‐Tandem Mass Spectroscopy (UPLC‐MS/MS). Correlation with clinical variables was performed.ResultsMetabolomics analysis demonstrated 188 differentially regulated metabolites between patients pre‐ and post‐Lumacaftor/Ivacaftor initiation, with a predominance of lipid and amino acid alterations. The top 30 metabolites were able to differentiate pre‐ and post‐Lumacaftor/Ivacaftor status in greater than 90% of patients via a random‐forest confusion matrix. Alterations in bile acids, phospholipids, and bacteria‐associated metabolites were the predominant changes associated with drug response. Importantly, changes in metabolic patterns were associated with clinical responders.ConclusionsSelected key lipid and amino acid metabolic pathways were significantly affected by Lumacaftor/Ivacaftor initiation and similar pathways were affected in clinical responders. Targeted metabolomics may provide useful and relevant biomarkers of CFTR modulator responses.

Related Organizations
Keywords

Adult, Male, Adolescent, Cystic Fibrosis, Aminopyridines, Cystic Fibrosis Transmembrane Conductance Regulator, Middle Aged, Quinolones, Aminophenols, Drug Combinations, Young Adult, Treatment Outcome, Humans, Metabolomics, Female, Benzodioxoles, Biomarkers, Chromatography, Liquid

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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
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