Evidence map›Paper›PMID 28530140›Full record

ArticleAmerican journal of respiratory and critical care medicine2017

Associations of Nasopharyngeal Metabolome and Microbiome with Severity among Infants with Bronchiolitis. A Multiomic Analysis.

Christopher J Stewart, Jonathan M Mansbach, Matthew C Wong, Nadim J Ajami, Joseph F Petrosino, Carlos A Camargo, Kohei Hasegawa

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in American journal of respiratory and critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

81 citing papers in PubMed, 1 synthesis or guideline pooled it, 122 citations in OpenAlex.

  1. Pooled it
  2. Serum 25-hydroxyvitamin D, metabolome, and bronchiolitis severity among infants-A multicenter cohort study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2018
    Trial
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  5. Effects ofMicrobiology spectrum · 2026
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  12. Review
  13. 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
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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Christopher J Stewart1 Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas; and.ORCID 0000-0002-6033-338X
Jonathan M Mansbach2 Department of Medicine, Boston Children's Hospital, and.
Matthew C Wong1 Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas; and.
Nadim J Ajami1 Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas; and.
Joseph F Petrosino1 Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas; and.
Carlos A Camargo3 Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Kohei Hasegawa3 Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Baylor College of Medicine · USHarvard University · USBoston Children's Hospital · 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

rationaleBronchiolitis is the most common lower respiratory infection in infants; however, it remains unclear which infants with bronchiolitis will develop severe illness. In addition, although emerging evidence indicates associations of the upper-airway microbiome with bronchiolitis severity, little is known about the mechanisms linking airway microbes and host response to disease severity.

objectivesTo determine the relations among the nasopharyngeal airway metabolome profiles, microbiome profiles, and severity in infants with bronchiolitis.

methodsWe conducted a multicenter prospective cohort study of infants (age <1 yr) hospitalized with bronchiolitis. By applying metabolomic and metagenomic (16S ribosomal RNA gene and whole-genome shotgun sequencing) approaches to 144 nasopharyngeal airway samples collected within 24 hours of hospitalization, we determined metabolome and microbiome profiles and their association with higher severity, defined by the use of positive pressure ventilation (i.e., continuous positive airway pressure and/or intubation). MEASUREMENTS AND MAIN

resultsNasopharyngeal airway metabolome profiles significantly differed by bronchiolitis severity (P < 0.001). Among 254 metabolites identified, a panel of 25 metabolites showed high sensitivity (84%) and specificity (86%) in predicting the use of positive pressure ventilation. The intensity of these metabolites was correlated with relative abundance of Streptococcus pneumoniae. In the pathway analysis, sphingolipid metabolism was the most significantly enriched subpathway in infants with positive pressure ventilation use compared with those without (P < 0.001). Enrichment of sphingolipid metabolites was positively correlated with the relative abundance of S. pneumoniae.

conclusionsAlthough further validation is needed, our multiomic analyses demonstrate the potential of metabolomics to predict bronchiolitis severity and better understand microbe-host interaction.

Indexed as

BronchiolitisCohort StudiesContinuous Positive Airway PressureFemaleHumansInfantMaleMetabolomeMicrobiotaNasopharynxProspective StudiesSeverity of Illness Indexbronchiolitisinfantsmetabolomicsmicrobiomesphingolipids

Identifiers

PMID28530140
PMCPMC5649976
OpenAlexW2614636468

What OpenQuestion holds

Textmetadata
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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.