The Fecal Microbiota Profile and Bronchiolitis in Infants

Hasegawa, Kohei; Linnemann, Rachel W.; Mansbach, Jonathan M.; Ajami, Nadim J.; Espinola, Janice A.; Petrosino, Joseph F.; Piedra, Pedro A.; Stevenson, Michelle D.; Sullivan, Ashley F.; Thompson, Amy D.; Camargo, Carlos A.

doi:10.1542/peds.2016-0218

Cited by 70 publications

(84 citation statements)

References 44 publications

(36 reference statements)

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“…The present novel finding is intriguing because it is generally considered that a higher bacterial richness and diversity is favorable. Yet, recent studies have demonstrated that a higher bacterial diversity may be associated with diseases . For instance, Huang et al .…”

Section: Discussionmentioning

confidence: 99%

Household siblings and nasal and fecal microbiota in infants

Hasegawa

Linnemann

Mansbach

et al. 2016

Pediatrics International

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Background Early-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. We aimed to profile the nasal airway and fecal microbiota in infants, and to examine the association between having siblings and microbiota profiles. Methods We conducted a cross-sectional study of 105 healthy infants (aged <1 year). By applying 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 profiles. Results Overall, 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 Moraxella-dominant profile than Corynebacterium/Dolosigranulum-dominant profile (76% vs. 18%) while those without siblings had the opposite pattern (18% vs. 50%) (multivariable-adjusted P<0.001). Fecal microbiota consisted of three profiles: Bifidobacterium-dominant (39%), Escherichia-dominant (31%), and Enterobacter-dominant (30%). Infants with siblings were more likely to have Bifidobacterium-dominant profile than Escherichia-dominant profile (49% vs. 24%) while those without siblings had the opposite pattern (32% vs. 37%) (multivariable-adjusted P=0.04). Conclusions In this cross-sectional study, we found that infants with siblings were more likely to have Moraxella-dominant nasal microbiota profile and Bifidobacterium-dominant fecal microbiota profile. Our findings should facilitate further investigation of the interplay between early-life environmental exposures, the microbiome, and childhood asthma.

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Section: Discussionmentioning

confidence: 99%

Household siblings and nasal and fecal microbiota in infants

Hasegawa

Linnemann

Mansbach

et al. 2016

Pediatrics International

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“…The setting and participants have been reported previously. 18,19 Briefly, using a standardized protocol, we enrolled healthy infants – age-matched within 1.5 months of the cases – from a primary care group practice at Massachusetts General Hospital (Boston, MA) between November 2013 and May 2014. We excluded infants with gestational age <32 weeks, comorbidities, previous lower respiratory infection that resulted in an urgent clinic visit, emergency department visit, or hospitalization, current fever, respiratory illness, or gastrointestinal illness, or antibiotic treatment in the preceding 7 days.…”

Section: Methodsmentioning

confidence: 99%

Nasal Airway Microbiota Profile and Severe Bronchiolitis in Infants

Hasegawa

Linnemann

Mansbach

et al. 2017

Pediatric Infectious Disease Journal

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Background Little 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. Methods A case-control study. As a part of 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 rRNA 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. Results Overall, the median age was 3 months and 56% were male. Unbiased clustering of airway microbiota identified four 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 OR of 7.80 (95%CI, 2.64–24.9; P<0.001). In the multivariable model, the association between Staphylococcus-dominant profile and greater likelihood of bronchiolitis persisted (OR for comparison with Moraxella-dominant profile, 5.16; 95%CI, 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. Conclusions In this case-control study, we identified four 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.

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“…17 To examine the composition of the fecal microbiota, we applied a 16S rRNA gene sequencing approach. Detailed protocol for 16S rRNA gene sequencing has been described previously 18 and was based on methods developed for the National Institutes of Health Human Microbiome Project 19 . In brief, bacterial genomic DNA was extracted using MO BIO PowerMag DNA Isolation Kit (Mo Bio Lab; Carlsbad, CA).…”

Section: Methodsmentioning

confidence: 99%

Association of Maternal Gestational Weight Gain With the Infant Fecal Microbiota

Robinson¹,

Fiechtner

Roche³

et al. 2017

J. pediatr. gastroenterol. nutr.

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Objectives Pregnancy characteristics may influence the infant fecal microbiota during early life. We aimed to examine associations of maternal gestational weight gain with infant fecal microbiota composition, bacterial community richness, and Shannon diversity index. Methods We analyzed data from a prospective cohort study of healthy infants. We collected prenatal data, including report of mother’s gestational weight gain, and infant fecal samples from 84 infant-mother dyads. By applying 16S rRNA gene sequencing and an unbiased clustering by partitioning around medoids using Bray-Curtis distances, we identified four fecal microbiota profiles, and examined the associations of maternal gestational weight gain with the four fecal microbiota profiles, bacterial community richness, and Shannon diversity index. Results Overall, the median age of infants was 4.0 months and 43% were female. The mothers of the 84 infants gained a mean of 14.2 kg (SD, 5.4 kg) during pregnancy. We identified four distinct microbiota profiles: Bifidobacterium-dominant (42%), Enterobacter/Veillonella-dominant (23%), Bacteroides-dominant (19%), and Escherichia-dominant (17%). Infants whose mothers had higher gestational weight gain were less likely to have a Bacteroides-dominant profile, corresponding to a relative risk ratio of 0.83 (95%CI, 0.71–0.96; P=0.01) per 1 kilogram increase in weight. Additionally, higher gestational weight gain was also associated with lower bacterial community richness and Shannon diversity index (P<0.05). Conclusion In this prospective cohort study of healthy infants, maternal gestational weight gain was associated with the infant fecal microbiota profiles, bacterial community richness, and Shannon diversity index.

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The Fecal Microbiota Profile and Bronchiolitis in Infants

Abstract: 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.

Cited by 70 publications

References 44 publications

Household siblings and nasal and fecal microbiota in infants

Household siblings and nasal and fecal microbiota in infants

Nasal Airway Microbiota Profile and Severe Bronchiolitis in Infants

Association of Maternal Gestational Weight Gain With the Infant Fecal Microbiota

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