Evidence map›Paper›PMID 29298732›Full record

ArticleMicrobiome2018

The association between anterior nares and nasopharyngeal microbiota in infants hospitalized for bronchiolitis.

Pamela N Luna, Kohei Hasegawa, Nadim J Ajami, Janice A Espinola, David M Henke, Joseph F Petrosino, Pedro A Piedra, Ashley F Sullivan, Carlos A Camargo, Chad A Shaw and 1 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

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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.

Pamela N LunaDepartment of Statistics, Rice University, Houston, TX, USA.
Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Nadim J AjamiAlkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
Janice A EspinolaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
David M HenkeDepartment of Molecular and Human Genetics MS 225, Baylor College of Medicine, Houston, TX, 77030, USA.
Joseph F PetrosinoAlkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
Pedro A PiedraDepartment of Molecular Virology and Microbiology and Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Ashley F SullivanDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Chad A ShawDepartment of Statistics, Rice University, Houston, TX, USA. cashaw@bcm.edu.
Jonathan M MansbachDepartment of Medicine, Boston Children's Hospital, Boston, MA, USA.
Baylor College of Medicine · USHarvard University · USMassachusetts General Hospital · USBoston Children's Hospital · USRice University · 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
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
NIAID NIH HHS R01 AI108588NIAID NIH HHS R01 AI114552NIAID NIH HHS U01 AI087881NIH HHS R01 AI-108588NIH HHS R01 AI-114552NIH HHS U01 AI-087881NIH HHS UG3 OD-023253NIH HHS UG3 OD023253NIH HHS UH3 OD023253
6 · The paper itself

Abstract

backgroundThe airway microbiome is a subject of great interest for the study of respiratory disease. Anterior nare samples are more accessible than samples from deeper within the nasopharynx. However, the correlation between the microbiota found in the anterior nares and the microbiota found within the nasopharynx is unknown. We assessed the anterior nares and nasopharyngeal microbiota to determine (1) the relation of the microbiota from these two upper airway sites and (2) if associations were maintained between the microbiota from these two sites and two bronchiolitis severity outcomes.

resultsAmong 815 infants hospitalized at 17 US centers for bronchiolitis with optimal 16S rRNA gene sequence reads from both nasal swab and nasopharyngeal aspirate samples, there were strong intra-individual correlations in the microbial communities between the two sample types, especially relating to Haemophilus and Moraxella genera. By contrast, we found a high abundance of Staphylococcus genus in the nasal swabs-a pattern not found in the nasopharyngeal samples and not informative when predicting the dominant nasopharyngeal genera. While these disparities may have been due to sample processing differences (i.e., nasal swabs were mailed at ambient temperature to emulate processing of future parent collected swabs while nasopharyngeal aspirates were mailed on dry ice), a previously reported association between Haemophilus-dominant nasopharyngeal microbiota and the increased severity of bronchiolitis was replicated utilizing the nasal swab microbiota and the same outcome measures: intensive care use (adjusted OR 6.43; 95% CI 2.25-20.51; P < 0.001) and hospital length-of-stay (adjusted OR 4.31; 95% CI, 1.73-11.11; P = 0.002). Additionally, Moraxella-dominant nasopharyngeal microbiota was previously identified as protective against intensive care use, a result that was replicated when analyzing the nasal swab microbiota (adjusted OR 0.30; 95% CI, 0.11-0.64; P = 0.01).

conclusionsWhile the microbiota of the anterior nares and the nasopharynx are distinct, there is considerable overlap between the bacterial community compositions from these two anatomic sites. Despite processing differences between the samples, these results indicate that microbiota severity associations from the nasopharynx are recapitulated in the anterior nares, suggesting that nasal swab samples not only are effective sample types, but also can be used to detect microbial risk markers.

Indexed as

BronchiolitisDNA, BacterialDNA, RibosomalFemaleHospitalizationHumansInfantLongitudinal StudiesMaleMicrobiotaNasal CavityNasopharynxRNA, Ribosomal, 16SSequence Analysis, DNAStaphylococcusDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SAnterior naresAsthmaBronchiolitisMicrobiotaNasopharynx

Identifiers

PMID29298732
PMCPMC5751828
OpenAlexW2781833739

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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.