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Pharmacometabolomics of Bronchodilator Response in Asthma and the Role of Age-Metabolite Interactions

The role of metabolism in modifying age-related differential responses to asthma medications is insufficiently understood. The objective of this study was to determine the role of the metabolome in modifying the effect of age on bronchodilator response (BDR) in individuals with asthma. We used longi...

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Autores principales: Kelly, Rachel S., Sordillo, Joanne E., Lutz, Sharon M., Avila, Lydiana, Soto-Quiros, Manuel, Celedón, Juan C., McGeachie, Michael J., Dahlin, Amber, Tantisira, Kelan, Huang, Mengna, Clish, Clary B., Weiss, Scott T., Lasky-Su, Jessica, Wu, Ann Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780678/
https://www.ncbi.nlm.nih.gov/pubmed/31500319
http://dx.doi.org/10.3390/metabo9090179
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author Kelly, Rachel S.
Sordillo, Joanne E.
Lutz, Sharon M.
Avila, Lydiana
Soto-Quiros, Manuel
Celedón, Juan C.
McGeachie, Michael J.
Dahlin, Amber
Tantisira, Kelan
Huang, Mengna
Clish, Clary B.
Weiss, Scott T.
Lasky-Su, Jessica
Wu, Ann Chen
author_facet Kelly, Rachel S.
Sordillo, Joanne E.
Lutz, Sharon M.
Avila, Lydiana
Soto-Quiros, Manuel
Celedón, Juan C.
McGeachie, Michael J.
Dahlin, Amber
Tantisira, Kelan
Huang, Mengna
Clish, Clary B.
Weiss, Scott T.
Lasky-Su, Jessica
Wu, Ann Chen
author_sort Kelly, Rachel S.
collection PubMed
description The role of metabolism in modifying age-related differential responses to asthma medications is insufficiently understood. The objective of this study was to determine the role of the metabolome in modifying the effect of age on bronchodilator response (BDR) in individuals with asthma. We used longitudinal measures of BDR and plasma metabolomic profiling in 565 children with asthma from the Childhood Asthma Management Program (CAMP) to identify age by metabolite interactions on BDR. The mean ages at the three studied time-points across 16 years of follow-up in CAMP were 8.8, 12.8, and 16.8 years; the mean BDRs were 11%, 9% and 8%, respectively. Of 501 identified metabolites, 39 (7.8%) demonstrated a significant interaction with age on BDR (p-value < 0.05). We were able to validate two significant interactions in 320 children with asthma from the Genetics of Asthma in Costa Rica Study; 2-hydroxyglutarate, a compound involved in butanoate metabolism (interaction; CAMP: β = −0.004, p = 1.8 × 10(−4); GACRS: β = −0.015, p = 0.018), and a cholesterol ester; CE C18:1 (CAMP: β = 0.005, p = 0.006; GACRS: β = 0.023, p = 0.041) Five additional metabolites had a p-value < 0.1 in GACRS, including Gammaminobutyric acid (GABA), C16:0 CE, C20:4 CE, C18.0 CE and ribothymidine. These findings suggest Cholesterol esters and GABA may modify the estimated effect of age on bronchodilator response.
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spelling pubmed-67806782019-10-30 Pharmacometabolomics of Bronchodilator Response in Asthma and the Role of Age-Metabolite Interactions Kelly, Rachel S. Sordillo, Joanne E. Lutz, Sharon M. Avila, Lydiana Soto-Quiros, Manuel Celedón, Juan C. McGeachie, Michael J. Dahlin, Amber Tantisira, Kelan Huang, Mengna Clish, Clary B. Weiss, Scott T. Lasky-Su, Jessica Wu, Ann Chen Metabolites Article The role of metabolism in modifying age-related differential responses to asthma medications is insufficiently understood. The objective of this study was to determine the role of the metabolome in modifying the effect of age on bronchodilator response (BDR) in individuals with asthma. We used longitudinal measures of BDR and plasma metabolomic profiling in 565 children with asthma from the Childhood Asthma Management Program (CAMP) to identify age by metabolite interactions on BDR. The mean ages at the three studied time-points across 16 years of follow-up in CAMP were 8.8, 12.8, and 16.8 years; the mean BDRs were 11%, 9% and 8%, respectively. Of 501 identified metabolites, 39 (7.8%) demonstrated a significant interaction with age on BDR (p-value < 0.05). We were able to validate two significant interactions in 320 children with asthma from the Genetics of Asthma in Costa Rica Study; 2-hydroxyglutarate, a compound involved in butanoate metabolism (interaction; CAMP: β = −0.004, p = 1.8 × 10(−4); GACRS: β = −0.015, p = 0.018), and a cholesterol ester; CE C18:1 (CAMP: β = 0.005, p = 0.006; GACRS: β = 0.023, p = 0.041) Five additional metabolites had a p-value < 0.1 in GACRS, including Gammaminobutyric acid (GABA), C16:0 CE, C20:4 CE, C18.0 CE and ribothymidine. These findings suggest Cholesterol esters and GABA may modify the estimated effect of age on bronchodilator response. MDPI 2019-09-07 /pmc/articles/PMC6780678/ /pubmed/31500319 http://dx.doi.org/10.3390/metabo9090179 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kelly, Rachel S.
Sordillo, Joanne E.
Lutz, Sharon M.
Avila, Lydiana
Soto-Quiros, Manuel
Celedón, Juan C.
McGeachie, Michael J.
Dahlin, Amber
Tantisira, Kelan
Huang, Mengna
Clish, Clary B.
Weiss, Scott T.
Lasky-Su, Jessica
Wu, Ann Chen
Pharmacometabolomics of Bronchodilator Response in Asthma and the Role of Age-Metabolite Interactions
title Pharmacometabolomics of Bronchodilator Response in Asthma and the Role of Age-Metabolite Interactions
title_full Pharmacometabolomics of Bronchodilator Response in Asthma and the Role of Age-Metabolite Interactions
title_fullStr Pharmacometabolomics of Bronchodilator Response in Asthma and the Role of Age-Metabolite Interactions
title_full_unstemmed Pharmacometabolomics of Bronchodilator Response in Asthma and the Role of Age-Metabolite Interactions
title_short Pharmacometabolomics of Bronchodilator Response in Asthma and the Role of Age-Metabolite Interactions
title_sort pharmacometabolomics of bronchodilator response in asthma and the role of age-metabolite interactions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780678/
https://www.ncbi.nlm.nih.gov/pubmed/31500319
http://dx.doi.org/10.3390/metabo9090179
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