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Integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: A multicenter prospective study

BACKGROUND: Infants with bronchiolitis are at high risk for developing childhood asthma. While genome-wide association studies suggest common genetic susceptibilities between these conditions, the mechanisms underlying the link remain unclear. OBJECTIVE: Through integrated genetics-metabolomics anal...

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Autores principales: Ooka, Tadao, Zhu, Zhaozhong, Liang, Liming, Celedon, Juan C., Harmon, Brennan, Hahn, Andrea, Rhee, Eugene P., Freishtat, Robert J., Camargo, Carlos A., Hasegawa, Kohei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936313/
https://www.ncbi.nlm.nih.gov/pubmed/36818476
http://dx.doi.org/10.3389/fimmu.2022.1111723
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author Ooka, Tadao
Zhu, Zhaozhong
Liang, Liming
Celedon, Juan C.
Harmon, Brennan
Hahn, Andrea
Rhee, Eugene P.
Freishtat, Robert J.
Camargo, Carlos A.
Hasegawa, Kohei
author_facet Ooka, Tadao
Zhu, Zhaozhong
Liang, Liming
Celedon, Juan C.
Harmon, Brennan
Hahn, Andrea
Rhee, Eugene P.
Freishtat, Robert J.
Camargo, Carlos A.
Hasegawa, Kohei
author_sort Ooka, Tadao
collection PubMed
description BACKGROUND: Infants with bronchiolitis are at high risk for developing childhood asthma. While genome-wide association studies suggest common genetic susceptibilities between these conditions, the mechanisms underlying the link remain unclear. OBJECTIVE: Through integrated genetics-metabolomics analysis in this high-risk population, we sought to identify genetically driven metabolites associated with asthma development and genetic loci associated with both these metabolites and asthma susceptibility. METHODS: In a multicenter prospective cohort study of infants hospitalized for bronchiolitis, we profiled the nasopharyngeal metabolome and genotyped the whole genome at hospitalization. We identified asthma-related metabolites from 283 measured compounds and conducted metabolite quantitative trait loci (mtQTL) analyses. We further examined the mtQTL associations by testing shared genetic loci for metabolites and asthma using colocalization analysis and the concordance between the loci and known asthma-susceptibility genes. RESULTS: In 744 infants hospitalized with bronchiolitis, 28 metabolites (e.g., docosapentaenoate [DPA], 1,2-dioleoyl-sn-glycero-3-phosphoglycerol, sphingomyelin) were associated with asthma risk. A total of 349 loci were associated with these metabolites—161 for non-Hispanic white, 120 for non-Hispanic black, and 68 for Hispanics. Of these, there was evidence for 30 shared loci between 16 metabolites and asthma risk (colocalization posterior probability ≥0.5). The significant SNPs within loci were aligned with known asthma-susceptibility genes (e.g., ADORA1, MUC16). CONCLUSION: The integrated genetics-metabolomics analysis identified genetically driven metabolites during infancy that are associated with asthma development and genetic loci associated with both these metabolites and asthma susceptibility. Identifying these metabolites and genetic loci should advance research into the functional mechanisms of the infant bronchiolitis-childhood asthma link.
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spelling pubmed-99363132023-02-18 Integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: A multicenter prospective study Ooka, Tadao Zhu, Zhaozhong Liang, Liming Celedon, Juan C. Harmon, Brennan Hahn, Andrea Rhee, Eugene P. Freishtat, Robert J. Camargo, Carlos A. Hasegawa, Kohei Front Immunol Immunology BACKGROUND: Infants with bronchiolitis are at high risk for developing childhood asthma. While genome-wide association studies suggest common genetic susceptibilities between these conditions, the mechanisms underlying the link remain unclear. OBJECTIVE: Through integrated genetics-metabolomics analysis in this high-risk population, we sought to identify genetically driven metabolites associated with asthma development and genetic loci associated with both these metabolites and asthma susceptibility. METHODS: In a multicenter prospective cohort study of infants hospitalized for bronchiolitis, we profiled the nasopharyngeal metabolome and genotyped the whole genome at hospitalization. We identified asthma-related metabolites from 283 measured compounds and conducted metabolite quantitative trait loci (mtQTL) analyses. We further examined the mtQTL associations by testing shared genetic loci for metabolites and asthma using colocalization analysis and the concordance between the loci and known asthma-susceptibility genes. RESULTS: In 744 infants hospitalized with bronchiolitis, 28 metabolites (e.g., docosapentaenoate [DPA], 1,2-dioleoyl-sn-glycero-3-phosphoglycerol, sphingomyelin) were associated with asthma risk. A total of 349 loci were associated with these metabolites—161 for non-Hispanic white, 120 for non-Hispanic black, and 68 for Hispanics. Of these, there was evidence for 30 shared loci between 16 metabolites and asthma risk (colocalization posterior probability ≥0.5). The significant SNPs within loci were aligned with known asthma-susceptibility genes (e.g., ADORA1, MUC16). CONCLUSION: The integrated genetics-metabolomics analysis identified genetically driven metabolites during infancy that are associated with asthma development and genetic loci associated with both these metabolites and asthma susceptibility. Identifying these metabolites and genetic loci should advance research into the functional mechanisms of the infant bronchiolitis-childhood asthma link. Frontiers Media S.A. 2023-02-02 /pmc/articles/PMC9936313/ /pubmed/36818476 http://dx.doi.org/10.3389/fimmu.2022.1111723 Text en Copyright © 2023 Ooka, Zhu, Liang, Celedon, Harmon, Hahn, Rhee, Freishtat, Camargo and Hasegawa https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Ooka, Tadao
Zhu, Zhaozhong
Liang, Liming
Celedon, Juan C.
Harmon, Brennan
Hahn, Andrea
Rhee, Eugene P.
Freishtat, Robert J.
Camargo, Carlos A.
Hasegawa, Kohei
Integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: A multicenter prospective study
title Integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: A multicenter prospective study
title_full Integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: A multicenter prospective study
title_fullStr Integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: A multicenter prospective study
title_full_unstemmed Integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: A multicenter prospective study
title_short Integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: A multicenter prospective study
title_sort integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: a multicenter prospective study
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936313/
https://www.ncbi.nlm.nih.gov/pubmed/36818476
http://dx.doi.org/10.3389/fimmu.2022.1111723
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