The upper-airway microbiota and loss of asthma control among asthmatic children
The airway microbiome has an important role in asthma pathophysiology. However, little is known on the relationships between the airway microbiome of asthmatic children, loss of asthma control, and severe exacerbations. Here we report that the microbiota’s dynamic patterns and compositions are relat...
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Published in | Nature communications Vol. 10; no. 1; pp. 5714 - 10 |
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Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
16.12.2019
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
ISSN | 2041-1723 2041-1723 |
DOI | 10.1038/s41467-019-13698-x |
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Abstract | The airway microbiome has an important role in asthma pathophysiology. However, little is known on the relationships between the airway microbiome of asthmatic children, loss of asthma control, and severe exacerbations. Here we report that the microbiota’s dynamic patterns and compositions are related to asthma exacerbations. We collected nasal blow samples (n = 319) longitudinally during a clinical trial at 2 time-points within one year: randomization when asthma is under control, and at time of early loss of asthma control (yellow zone (YZ)). We report that participants whose microbiota was dominated by the commensal
Corynebacterium
+
Dolosigranulum
cluster at RD experience the lowest rates of YZs (p = 0.005) and have longer time to develop at least 2 episodes of YZ (p = 0.03). The airway microbiota have changed from randomization to YZ. A switch from the
Corynebacterium
+
Dolosigranulum
cluster at randomization to the
Moraxella-
cluster at YZ poses the highest risk of severe asthma exacerbation (p = 0.04).
Corynebacterium’s
relative abundance at YZ is inversely associated with severe exacerbation (p = 0.002).
How the airway microbiome influences asthma pathophysiology remains unclear. Here, the authors analyse nasal samples of cohort of school-age children with persistent asthma and find that the microbiota’s patterns and composition at time of early loss of asthma control associate with severe asthma exacerbations. |
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AbstractList | How the airway microbiome influences asthma pathophysiology remains unclear. Here, the authors analyse nasal samples of cohort of school-age children with persistent asthma and find that the microbiota’s patterns and composition at time of early loss of asthma control associate with severe asthma exacerbations. The airway microbiome has an important role in asthma pathophysiology. However, little is known on the relationships between the airway microbiome of asthmatic children, loss of asthma control, and severe exacerbations. Here we report that the microbiota’s dynamic patterns and compositions are related to asthma exacerbations. We collected nasal blow samples (n = 319) longitudinally during a clinical trial at 2 time-points within one year: randomization when asthma is under control, and at time of early loss of asthma control (yellow zone (YZ)). We report that participants whose microbiota was dominated by the commensal Corynebacterium + Dolosigranulum cluster at RD experience the lowest rates of YZs (p = 0.005) and have longer time to develop at least 2 episodes of YZ (p = 0.03). The airway microbiota have changed from randomization to YZ. A switch from the Corynebacterium + Dolosigranulum cluster at randomization to the Moraxella- cluster at YZ poses the highest risk of severe asthma exacerbation (p = 0.04). Corynebacterium’s relative abundance at YZ is inversely associated with severe exacerbation (p = 0.002). The airway microbiome has an important role in asthma pathophysiology. However, little is known on the relationships between the airway microbiome of asthmatic children, loss of asthma control, and severe exacerbations. Here we report that the microbiota's dynamic patterns and compositions are related to asthma exacerbations. We collected nasal blow samples (n = 319) longitudinally during a clinical trial at 2 time-points within one year: randomization when asthma is under control, and at time of early loss of asthma control (yellow zone (YZ)). We report that participants whose microbiota was dominated by the commensal Corynebacterium + Dolosigranulum cluster at RD experience the lowest rates of YZs (p = 0.005) and have longer time to develop at least 2 episodes of YZ (p = 0.03). The airway microbiota have changed from randomization to YZ. A switch from the Corynebacterium + Dolosigranulum cluster at randomization to the Moraxella- cluster at YZ poses the highest risk of severe asthma exacerbation (p = 0.04). Corynebacterium's relative abundance at YZ is inversely associated with severe exacerbation (p = 0.002).The airway microbiome has an important role in asthma pathophysiology. However, little is known on the relationships between the airway microbiome of asthmatic children, loss of asthma control, and severe exacerbations. Here we report that the microbiota's dynamic patterns and compositions are related to asthma exacerbations. We collected nasal blow samples (n = 319) longitudinally during a clinical trial at 2 time-points within one year: randomization when asthma is under control, and at time of early loss of asthma control (yellow zone (YZ)). We report that participants whose microbiota was dominated by the commensal Corynebacterium + Dolosigranulum cluster at RD experience the lowest rates of YZs (p = 0.005) and have longer time to develop at least 2 episodes of YZ (p = 0.03). The airway microbiota have changed from randomization to YZ. A switch from the Corynebacterium + Dolosigranulum cluster at randomization to the Moraxella- cluster at YZ poses the highest risk of severe asthma exacerbation (p = 0.04). Corynebacterium's relative abundance at YZ is inversely associated with severe exacerbation (p = 0.002). The airway microbiome has an important role in asthma pathophysiology. However, little is known on the relationships between the airway microbiome of asthmatic children, loss of asthma control, and severe exacerbations. Here we report that the microbiota’s dynamic patterns and compositions are related to asthma exacerbations. We collected nasal blow samples (n = 319) longitudinally during a clinical trial at 2 time-points within one year: randomization when asthma is under control, and at time of early loss of asthma control (yellow zone (YZ)). We report that participants whose microbiota was dominated by the commensal Corynebacterium + Dolosigranulum cluster at RD experience the lowest rates of YZs (p = 0.005) and have longer time to develop at least 2 episodes of YZ (p = 0.03). The airway microbiota have changed from randomization to YZ. A switch from the Corynebacterium + Dolosigranulum cluster at randomization to the Moraxella- cluster at YZ poses the highest risk of severe asthma exacerbation (p = 0.04). Corynebacterium’s relative abundance at YZ is inversely associated with severe exacerbation (p = 0.002). How the airway microbiome influences asthma pathophysiology remains unclear. Here, the authors analyse nasal samples of cohort of school-age children with persistent asthma and find that the microbiota’s patterns and composition at time of early loss of asthma control associate with severe asthma exacerbations. The airway microbiome has an important role in asthma pathophysiology. However, little is known on the relationships between the airway microbiome of asthmatic children, loss of asthma control, and severe exacerbations. Here we report that the microbiota's dynamic patterns and compositions are related to asthma exacerbations. We collected nasal blow samples (n = 319) longitudinally during a clinical trial at 2 time-points within one year: randomization when asthma is under control, and at time of early loss of asthma control (yellow zone (YZ)). We report that participants whose microbiota was dominated by the commensal Corynebacterium + Dolosigranulum cluster at RD experience the lowest rates of YZs (p = 0.005) and have longer time to develop at least 2 episodes of YZ (p = 0.03). The airway microbiota have changed from randomization to YZ. A switch from the Corynebacterium + Dolosigranulum cluster at randomization to the Moraxella- cluster at YZ poses the highest risk of severe asthma exacerbation (p = 0.04). Corynebacterium's relative abundance at YZ is inversely associated with severe exacerbation (p = 0.002). |
ArticleNumber | 5714 |
Author | Durack, Juliana Beigelman, Avraham Huang, Yvonne Mauger, David Zhou, Yanjiao Castro, Mario Lemanske, Robert F. Boushey, Homer Jackson, Daniel Phipatanakul, Wanda Bacharier, Leonard B. Wylie, Kristine Storch, Gregory A. Weinstock, George M. Robison, Rachel G. Covar, Ronina Fitzpatrick, Anne M. |
Author_xml | – sequence: 1 givenname: Yanjiao surname: Zhou fullname: Zhou, Yanjiao organization: Department of Medicine, University of Connecticut, The Jackson Laboratory for Genomic Medicine – sequence: 2 givenname: Daniel surname: Jackson fullname: Jackson, Daniel organization: Department of Pediatrics, University of Wisconsin School of Medicine and Public Health – sequence: 3 givenname: Leonard B. surname: Bacharier fullname: Bacharier, Leonard B. organization: Department of Pediatrics, St. Louis Children’s Hospital, Washington University School of Medicine – sequence: 4 givenname: David surname: Mauger fullname: Mauger, David organization: Department of Public Health Sciences, Penn State University – sequence: 5 givenname: Homer surname: Boushey fullname: Boushey, Homer organization: Department of Medicine, University of California – sequence: 6 givenname: Mario surname: Castro fullname: Castro, Mario organization: Department of Medicine, St. Louis Children’s Hospital, Washington University School of Medicine – sequence: 7 givenname: Juliana surname: Durack fullname: Durack, Juliana organization: Department of Medicine, University of California – sequence: 8 givenname: Yvonne surname: Huang fullname: Huang, Yvonne organization: Department of Medicine, University of Michigan – sequence: 9 givenname: Robert F. surname: Lemanske fullname: Lemanske, Robert F. organization: Department of Pediatrics, University of Wisconsin School of Medicine and Public Health – sequence: 10 givenname: Gregory A. surname: Storch fullname: Storch, Gregory A. organization: Department of Pediatrics, St. Louis Children’s Hospital, Washington University School of Medicine – sequence: 11 givenname: George M. orcidid: 0000-0002-2997-4592 surname: Weinstock fullname: Weinstock, George M. organization: The Jackson Laboratory for Genomic Medicine – sequence: 12 givenname: Kristine surname: Wylie fullname: Wylie, Kristine organization: Department of Pediatrics, St. Louis Children’s Hospital, Washington University School of Medicine – sequence: 13 givenname: Ronina surname: Covar fullname: Covar, Ronina organization: National Jewish Health – sequence: 14 givenname: Anne M. surname: Fitzpatrick fullname: Fitzpatrick, Anne M. organization: Department of Pediatrics, Emory University – sequence: 15 givenname: Wanda surname: Phipatanakul fullname: Phipatanakul, Wanda organization: Asthma, Allergy and Immunology, Boston Children’s Hospital, Harvard Medical School – sequence: 16 givenname: Rachel G. surname: Robison fullname: Robison, Rachel G. organization: Ann and Robert H Lurie Children’s Hospital of Chicago – sequence: 17 givenname: Avraham surname: Beigelman fullname: Beigelman, Avraham email: beigelmana@wustl.edu organization: Department of Pediatrics, St. Louis Children’s Hospital, Washington University School of Medicine, Kipper Institute of Allergy and Immunology, Schneider Children’s Medical Center, Tel Aviv University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31844063$$D View this record in MEDLINE/PubMed |
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Snippet | The airway microbiome has an important role in asthma pathophysiology. However, little is known on the relationships between the airway microbiome of asthmatic... How the airway microbiome influences asthma pathophysiology remains unclear. Here, the authors analyse nasal samples of cohort of school-age children with... |
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SubjectTerms | 45/23 692/308/3187 692/308/575 Administration, Inhalation Asthma Asthma - diagnosis Asthma - drug therapy Asthma - immunology Asthma - microbiology Carnobacteriaceae - immunology Carnobacteriaceae - isolation & purification Child Child, Preschool Children Female Fluticasone - therapeutic use Host Microbial Interactions - immunology Humanities and Social Sciences Humans Male Microbiomes Microbiota Microbiota - immunology Moraxella - immunology Moraxella - isolation & purification multidisciplinary Nasal Mucosa - immunology Nasal Mucosa - microbiology Prospective Studies Respiratory tract Science Science (multidisciplinary) Severity of Illness Index Staphylococcus - immunology Staphylococcus - isolation & purification Streptococcus - immunology Streptococcus - isolation & purification Symbiosis - immunology Symptom Flare Up Treatment Outcome |
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Title | The upper-airway microbiota and loss of asthma control among asthmatic children |
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