Evidence map›Paper›PMID 28005692›Full record

ArticleThe Pediatric infectious disease journal2017

Nasal Airway Microbiota Profile and Severe Bronchiolitis in Infants: A Case-control Study.

Kohei Hasegawa, Rachel W Linnemann, Jonathan M Mansbach, Nadim J Ajami, Janice A Espinola, Joseph F Petrosino, Pedro A Piedra, Michelle D Stevenson, Ashley F Sullivan, Amy D Thompson and 1 more

Abstract read
In one paragraph

Article in The Pediatric infectious disease journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
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

39 citing papers in PubMed, 71 citations in OpenAlex.

  1. Trial
  2. Article
  3. Infant feeding and criticality in children.Nursing in critical care · 2025
    Article
  4. Computational and in vitro evaluation of probiotic treatments for nasalProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Metabolic capabilities are highly conserved among human nasal-associatedbioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. A Distinct Nasal Microbiota Signature in Peritoneal Dialysis Patients.medRxiv : the preprint server for health sciences · 2023
    Article
  14. Article
  15. Prenatal exposure to Hurricane Maria is associated with an altered infant nasal microbiome.The journal of allergy and clinical immunology. Global · 2022
    Article
  16. Article
  17. Dynamics of the Upper Respiratory Tract Microbiota and Its Association with Mortality in COVID-19.American journal of respiratory and critical care medicine · 2021
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Kohei HasegawaFrom the *Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; †Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia; ‡Department of Medicine, Boston Children's Hospital, Boston, Massachusetts; §Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas; ¶Department of Molecular Virology and Microbiology, and Pediatrics, Baylor College of Medicine, Houston, Texas; ‖Department of Pediatrics, University of Louisville, Louisville, Kentucky; and **Alfred I. duPont Hospital for Children, Wilmington, Delaware.
Rachel W Linnemann
Jonathan M Mansbach
Nadim J Ajami
Janice A Espinola
Joseph F Petrosino
Pedro A Piedra
Michelle D Stevenson
Ashley F Sullivan
Amy D Thompson
Carlos A Camargo
Alfred I. duPont Hospital for Children · USBaylor College of Medicine · USHarvard University · USMassachusetts General Hospital · USUniversity of Louisville · US

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
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
Viral persistence & the microbiome in bronchiolitis and risk of recurrent wheezeR01AI108588 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI MANSBACH, JONATHAN M · 2015 to 2018
$2.9M
Cytokines & transcriptomes in rhinovirus bronchiolitis and risk of incident asthmaR21HL129909 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HASEGAWA, KOHEI · 2015 to 2016
$506k
NHLBI NIH HHS R21 HL129909NIAID NIH HHS R01 AI108588NIAID NIH HHS R01 AI114552NIAID NIH HHS R01 AI127507NIAID NIH HHS U01 AI087881NIH HHS UG3 OD023253NIH HHS UH3 OD023253
6 · The paper itself

Abstract

backgroundLittle is known about the relationship of airway microbiota with bronchiolitis in infants. We aimed to identify nasal airway microbiota profiles and to determine their association with the likelihood of bronchiolitis in infants.

methodsA case-control study was conducted. As a part of a multicenter prospective study, we collected nasal airway samples from 40 infants hospitalized with bronchiolitis. We concurrently enrolled 110 age-matched healthy controls. By applying 16S ribosomal RNA gene sequencing and an unbiased clustering approach to these 150 nasal samples, we identified microbiota profiles and determined the association of microbiota profiles with likelihood of bronchiolitis.

resultsOverall, the median age was 3 months and 56% were male. Unbiased clustering of airway microbiota identified 4 distinct profiles: Moraxella-dominant profile (37%), Corynebacterium/Dolosigranulum-dominant profile (27%), Staphylococcus-dominant profile (15%) and mixed profile (20%). Proportion of bronchiolitis was lowest in infants with Moraxella-dominant profile (14%) and highest in those with Staphylococcus-dominant profile (57%), corresponding to an odds ratio of 7.80 (95% confidence interval, 2.64-24.9; P < 0.001). In the multivariable model, the association between Staphylococcus-dominant profile and greater likelihood of bronchiolitis persisted (odds ratio for comparison with Moraxella-dominant profile, 5.16; 95% confidence interval, 1.26-22.9; P = 0.03). By contrast, Corynebacterium/Dolosigranulum-dominant profile group had low proportion of infants with bronchiolitis (17%); the likelihood of bronchiolitis in this group did not significantly differ from those with Moraxella-dominant profile in both unadjusted and adjusted analyses.

conclusionsIn this case-control study, we identified 4 distinct nasal airway microbiota profiles in infants. Moraxella-dominant and Corynebacterium/Dolosigranulum-dominant profiles were associated with low likelihood of bronchiolitis, while Staphylococcus-dominant profile was associated with high likelihood of bronchiolitis.

Indexed as

Bacterial InfectionsBronchiolitisCase-Control StudiesCluster AnalysisCorynebacteriumFemaleHumansInfantMaleMoraxellaNasopharynxStaphylococcus

Identifiers

PMID28005692
PMCPMC5479744
OpenAlexW2566587016

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.