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Respiratory Microbiome Profiles Are Associated With Distinct Inflammatory Phenotype and Lung Function in Children With Asthma

Authors
 Y H Kim  ;  M R Park  ;  S Y Kim  ;  M J Kim  ;  K W Kim  ;  M H Sohn 
Citation
 JOURNAL OF INVESTIGATIONAL ALLERGOLOGY AND CLINICAL IMMUNOLOGY, Vol.34(4) : 246-256, 2024-07 
Journal Title
JOURNAL OF INVESTIGATIONAL ALLERGOLOGY AND CLINICAL IMMUNOLOGY
ISSN
 1018-9068 
Issue Date
2024-07
MeSH
Adolescent ; Asthma* / immunology ; Asthma* / microbiology ; Child ; Cytokines / metabolism ; Female ; Humans ; Inflammation / immunology ; Inflammation / microbiology ; Lung / immunology ; Lung / microbiology ; Lung / physiopathology ; Male ; Microbiota* / immunology ; Phenotype* ; RNA, Ribosomal, 16S / genetics ; Respiratory Function Tests ; Sputum / immunology ; Sputum / microbiology
Keywords
Asthma ; Children ; Cluster analysis ; Cytokines ; Microbiota ; Phenotype
Abstract
Background: Respiratory microbiome studies have fostered our understanding of various phenotypes and endotypes of heterogeneous asthma. However, the relationship between the respiratory microbiome and clinical phenotypes in children with asthma remains unclear. We aimed to identify microbiome-driven clusters reflecting the clinical features of asthma and their dominant microbiotas in children with asthma. Methods: Induced sputum was collected from children with asthma, and microbiome profiles were generated via sequencing of the V3–V4 region of the 16S rRNA gene. Cluster analysis was performed using the partitioning around medoid clustering method. The dominant microbiota in each cluster was determined using the Linear Discriminant Effect Size analysis. Each cluster was analyzed for association among the dominant microbiota, clinical phenotype, and inflammatory cytokine. Results: Eighty-three children diagnosed with asthma were evaluated. Among four clusters reflecting the clinical characteristics of asthma, cluster 1, dominated by Haemophilus and Neisseria, demonstrated lower post-bronchodilator (BD) forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) than that in the other clusters and more mixed granulocytic asthma. Neisseria negatively correlated with pre-BD and post-BD FEV1/FVC. Haemophilus and Neisseria positively correlated with programmed death-ligand (PD-L)1. Conclusion: To our knowledge, this study is the first to analyze the relationship between an unbiased microbiome-driven cluster and clinical phenotype in children with asthma. The cluster dominated by Haemophilus and Neisseria showed fixed airflow obstruction and mixed granulocytic asthma, which correlated with PD-L1 levels. Thus, microbiome-driven unbiased clustering can help identify new asthma phenotypes related to endotypes in childhood asthma.
Files in This Item:
T202405564.pdf Download
DOI
37260034
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Kyung Won(김경원) ORCID logo https://orcid.org/0000-0003-4529-6135
Kim, Min Jung(김민정) ORCID logo https://orcid.org/0000-0002-5634-9709
Kim, Soo Yeon(김수연) ORCID logo https://orcid.org/0000-0003-4965-6193
Kim, Yoon Hee(김윤희) ORCID logo https://orcid.org/0000-0002-2149-8501
Park, Mireu(박미르)
Sohn, Myung Hyun(손명현) ORCID logo https://orcid.org/0000-0002-2478-487X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/200595
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