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Published on: August 7, 2017
The Fecal Microbiota Profile and Bronchiolitis in Infants
Kohei Hasegawa1, Rachel W Linnemann2, Jonathan M Mansbach3
1Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; khasegawa1@partners.org.
Insights
The gut microbiome
Area of Science:
- Microbiome research
- Pediatric infectious diseases
- Infant health
Background:
- Gut microbiota's role in infant health is understudied.
- Bronchiolitis is a common infant respiratory infection.
- Fecal microbiota is a potentially modifiable factor.
Purpose of the Study:
- To determine the association between fecal microbiota profiles and bronchiolitis in infants.
- To identify specific gut bacteria linked to increased bronchiolitis risk.
Main Methods:
- Case-control study design.
- 16S rRNA gene sequencing of fecal samples from 40 infants with bronchiolitis and 115 healthy controls.
- Unbiased clustering to identify distinct microbiota profiles.
Main Results:
- Four distinct fecal microbiota profiles were identified: Escherichia-dominant, Bifidobacterium-dominant, Enterobacter/Veillonella-dominant, and Bacteroides-dominant.
- The Bacteroides-dominant profile was associated with a significantly higher likelihood of bronchiolitis (OR=4.59, P=.008).
- This association persisted in multivariable analysis (OR=4.24, P=.005) when compared to the Enterobacter/Veillonella-dominant profile.
Conclusions:
- Infant fecal microbiota composition varies, with four distinct profiles identified.
- A Bacteroides-dominant gut microbiota profile is linked to an increased risk of infant bronchiolitis.
- Targeting gut microbiota may offer future strategies for bronchiolitis prevention or treatment.
Background:
Little is known about the association of gut microbiota, a potentially modifiable factor, with bronchiolitis in infants. We aimed to determine the association of fecal microbiota with bronchiolitis in infants.
Methods:
We conducted a case-control study. As a part of multicenter prospective study, we collected stool samples from 40 infants hospitalized with bronchiolitis. We concurrently enrolled 115 age-matched healthy controls. By applying 16S rRNA gene sequencing and an unbiased clustering approach to these 155 fecal samples, we identified microbiota profiles and determined the association of microbiota profiles with likelihood of bronchiolitis.
Results:
Overall, the median age was 3 months, 55% were male, and 54% were non-Hispanic white. Unbiased clustering of fecal microbiota identified 4 distinct profiles: Escherichia-dominant profile (30%), Bifidobacterium-dominant profile (21%), Enterobacter/Veillonella-dominant profile (22%), and Bacteroides-dominant profile (28%). The proportion of bronchiolitis was lowest in infants with the Enterobacter/Veillonella-dominant profile (15%) and highest in the Bacteroides-dominant profile (44%), corresponding to an odds ratio of 4.59 (95% confidence interval, 1.58-15.5; P = .008). In the multivariable model, the significant association between the Bacteroides-dominant profile and a greater likelihood of bronchiolitis persisted (odds ratio for comparison with the Enterobacter/Veillonella-dominant profile, 4.24; 95% confidence interval, 1.56-12.0; P = .005). In contrast, the likelihood of bronchiolitis in infants with the Escherichia-dominant or Bifidobacterium-dominant profile was not significantly different compared with those with the Enterobacter/Veillonella-dominant profile.
Conclusions:
In this case-control study, we identified 4 distinct fecal microbiota profiles in infants. The Bacteroides-dominant profile was associated with a higher likelihood of bronchiolitis.
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