Evidence map›Paper›PMID 27638139›Full record

ArticlePediatrics international : official journal of the Japan Pediatric Society2017

Household siblings and nasal and fecal microbiota in infants.

Kohei Hasegawa, Rachel W Linnemann, Jonathan M Mansbach, Nadim J Ajami, Janice A Espinola, Lauren G Fiechtner, Joseph F Petrosino, Carlos A Camargo

Open access · bronzeAbstract read
In one paragraph

Article in Pediatrics international : official journal of the Japan Pediatric Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Observational
  3. Interactions with alloparents are associated with the diversity of infant skin and fecal bacterial communities in Chicago, United States.American journal of human biology : the official journal of the Human Biology Council · 2025
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  4. Article
  5. Article
  6. Article
  7. Observational
  8. Prenatal exposure to Hurricane Maria is associated with an altered infant nasal microbiome.The journal of allergy and clinical immunology. Global · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Maternal Fish Consumption in Pregnancy Is Associated with aCurrent developments in nutrition · 2020
    Article
  13. Article
  14. Immunity, microbiota and kidney disease.Nature reviews. Nephrology · 2019
    Review
  15. Article
  16. Review
  17. Microbial diversity within the airway microbiome in chronic pediatric lung diseases.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Review
  18. Article
  19. Microbiome and asthma.Asthma research and practice · 2018
    Review
  20. Association of Maternal Gestational Weight Gain With the Infant Fecal Microbiota.Journal of pediatric gastroenterology and nutrition · 2017
    Observational
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

8 authors at 5 institutions in 1 country.

Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0002-5739-7999
Rachel W LinnemannDepartment of Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.
Jonathan M MansbachDivision of Gastroenterology and Nutrition and General Academic Pediatrics, MassGeneral Hospital for Children, Boston, Massachusetts, USA.
Nadim J AjamiDepartment of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA.
Janice A EspinolaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Lauren G FiechtnerAlkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, USA.
Joseph F PetrosinoDepartment of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Harvard University · USEmory University · USBaylor College of Medicine · USBoston Children's Hospital · USMassachusetts General Hospital · US

Funding

Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Geoffrey A Preidis · 2001 to 2026
$28.3M
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
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 U01 AI087881NIDDK NIH HHS P30 DK056338NIH HHS UG3 OD023253NIH HHS UH3 OD023253
6 · The paper itself

Abstract

backgroundEarly-life exposure to older siblings is associated with a lower risk of asthma. To date, no study has addressed the impact of having siblings on both the airway and fecal microbiota during infancy. The aim of this study was therefore to profile the nasal airway and fecal microbiota in infants, and to examine the association between having siblings and microbiota profile.

methodsWe conducted a cross-sectional study of 105 healthy infants (aged <1 year). Using 16S rRNA gene sequencing and an unbiased clustering approach to the nasal airway and fecal samples, we identified microbiota profiles and then determined the association between having siblings and microbiome profile.

resultsOverall, the median age was 3.4 months (IQR, 2.0-4.7 months); 43% had siblings in the household. Unbiased clustering of nasal airway microbiota identified three profiles: Moraxella dominant (43%), Corynebacterium/Dolosigranulum dominant (36%), and mixed (21%). Infants with siblings were more likely to have a Moraxella-dominant profile than Corynebacterium/Dolosigranulum-dominant profile (76% vs 18%), while those without siblings had the opposite pattern (18% vs 50%; P < 0.001, multivariable-adjusted). Fecal microbiota consisted of three profiles: Bifidobacterium dominant (39%), Escherichia dominant (31%), and Enterobacter dominant (30%). Infants with siblings were more likely to have a Bifidobacterium-dominant profile than Escherichia-dominant profile (49% vs 24%) while those without siblings had the opposite pattern (32% vs 37%; P = 0.04, multivariable-adjusted).

conclusionsIn this cross-sectional study, infants with siblings were more likely to have a Moraxella-dominant nasal microbiota profile and Bifidobacterium-dominant fecal microbiota profile. These findings should facilitate further investigation of the interplay between early-life environmental exposure, the microbiome, and childhood asthma.

Indexed as

MicrobiotaSiblingsCross-Sectional StudiesFecesFemaleHumansInfantMaleNasal Mucosaairway microbiotaasthmafecal microbiotainfantsibling

Identifiers

PMID27638139
PMCPMC5354996
OpenAlexW2520812355

What OpenQuestion holds

Textmetadata
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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.