Evidence map›Paper›PMID 39326916›Full record

ArticleThe European respiratory journal2024

Integrated nasopharyngeal airway metagenome and asthma genetic risk endotyping of severe bronchiolitis in infancy and risk of childhood asthma.

Zhaozhong Zhu, Ryohei Shibata, Kristi L Hoffman, Juwan Cormier, Jonathan M Mansbach, Liming Liang, Carlos A Camargo, Kohei Hasegawa

Abstract readMulticenter Study
In one paragraph

Article in The European respiratory journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Article
  6. Impact of varying childhood asthma definitions on incidence and clinical outcomes.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Heterogeneity and molecular mechanisms of early-life wheeze.The Journal of allergy and clinical immunology · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Unraveling the Molecular Complexity of Asthma: Insights from a Multicohort Transcriptome Study.American journal of respiratory cell and molecular biology · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Association between nasopharyngeal airway lipidome signatures of infants with severe bronchiolitis and risk of recurrent wheeze: A prospective multicenter cohort study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Zhaozhong ZhuDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA zzhu5@mgh.harvard.edu.ORCID https://orcid.org/0000-0001-5662-1541
Ryohei ShibataDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-6195-441X
Kristi L HoffmanAlkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX, USA.
Juwan CormierAlkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX, USA.
Jonathan M MansbachDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Liming LiangProgram in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-5071-7654
Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Funding

Host genetics, early-life microbiome, and childhood asthma: MARC-43 BostonUH3OD023253 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CARLOS ARTURO CAMARGO · 2018 to 2026
$12.1M
Nasal microRNA during bronchiolitis and age 6y asthma phenotypes: MARC-35 cohortR01AI127507 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO, FREISHTAT, ROBERT J · 2017 to 2021
$8.0M
Host genetics, early-life microbiome, and childhood asthma: MARC-43 BostonUG3OD023253 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2016 to 2024
$6.8M
Prospective Cohort Study of Severe Bronchiolitis and Risk of Recurrent WheezingU01AI087881 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2011 to 2016
$6.2M
Airway dual-transcriptomics in bronchiolitis and risk of asthma: MARC-35 cohortR01AI137091 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI HASEGAWA, KOHEI · 2018 to 2022
$4.3M
Infant specific-IgE, rhinovirus-C bronchiolitis, and incident asthma in MARC-35R01AI114552 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2015 to 2019
$4.2M
Airway metagenome & metabolome in bronchiolitis and risk of asthma: MARC-35 cohortR01AI134940 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI HASEGAWA, KOHEI · 2018 to 2022
$4.0M
Infant blood epigenome and risks of IgE sensitization, obesity, and asthma: MARC-35/43 cohortsR01AI148338 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI CAMARGO, CARLOS ARTURO, LIANG, LIMING · 2020 to 2023
$2.5M
Integrating the genome, metabolome, and microbiome for childhood asthma: Risk and endotypesK01AI153558 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ZHU, ZHAOZHONG · 2021 to 2025
$663k
NIAID NIH HHS K01 AI153558NIAID NIH HHS R01 AI114552NIAID NIH HHS R01 AI127507NIAID NIH HHS R01 AI134940NIAID NIH HHS R01 AI137091NIAID NIH HHS R01 AI148338NIAID NIH HHS U01 AI087881NIH HHS UG3 OD023253NIH HHS UH3 OD023253
6 · The paper itself

Abstract

backgroundInfants with bronchiolitis are at increased risk of developing asthma. Growing evidence suggests bronchiolitis is a heterogeneous condition. However, little is known about its biologically distinct subgroups based on the integrated metagenome and asthma genetic risk signature and their longitudinal relationships with asthma development.

methodsIn a multicentre prospective cohort study of infants with severe bronchiolitis (

resultsOut of 450 infants with bronchiolitis (median age 3 months), we identified five distinct endotypes, characterised by their nasopharyngeal metagenome, virus and asthma genetic risk profiles. Compared with endotype A infants (who clinically resembled "classic" bronchiolitis), endotype E infants (characterised by a high abundance of

conclusionIn this multicentre prospective cohort study of infant bronchiolitis, the clustering analysis of integrated-omics data identified biologically distinct endotypes with differential risks of developing asthma.

Indexed as

AsthmaBronchiolitisMetagenomeNasopharynxChildChild, PreschoolFemaleGenetic Predisposition to DiseaseHospitalizationHumansInfantInfant, NewbornMaleProspective StudiesRhinovirusRisk Factors

Identifiers

PMID39326916
PMCPMC11685037

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.