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Updated: Apr 21, 2026

Oral Biofilm Sampling for Microbiome Analysis in Healthy Children
Published on: December 31, 2017
Early respiratory microbiota composition determines bacterial succession patterns and respiratory health in children
Giske Biesbroek1, Evgeni Tsivtsivadze, Elisabeth A M Sanders
11 Department of Pediatric Immunology and Infectious Diseases, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands.
Insights
Early infant respiratory microbiota profiles, identified by 1.5 months, predict future respiratory health. Stable profiles with Moraxella and Corynebacterium are linked to fewer infections.
Area of Science:
- Microbiology
- Pediatrics
- Genomics
Background:
- Respiratory infections are common in children, often caused by bacteria residing in the respiratory tract.
- Understanding early-life colonization and microbiota stability is key to identifying factors influencing respiratory health and disease susceptibility.
Purpose of the Study:
- To investigate the succession of the respiratory microbiota during the first two years of life.
- To examine the relationship between early-life respiratory microbiota profiles and subsequent respiratory health characteristics.
Main Methods:
- 16S-based pyrosequencing was used to characterize upper respiratory microbiota in 60 healthy children at 1.5, 6, 12, and 24 months.
- Machine-learning algorithms identified consecutive microbiota profiles, with findings validated in an additional cohort of 140 children per age group.
Main Results:
- Eight distinct upper respiratory microbiota profiles were identified in healthy infants, detectable as early as 1.5 months.
- Stable profiles, characterized by early Moraxella and Corynebacterium/Dolosigranulum abundance, correlated positively with breastfeeding and fewer reported respiratory infections.
- Less stable profiles were associated with a higher abundance of Haemophilus or Streptococcus.
Conclusions:
- Early-life respiratory microbiota profiles offer insights into microbial succession and are linked to microbiota stability and respiratory health outcomes in infants.
- These findings suggest potential for early diagnosis and prevention strategies for respiratory infections based on infant microbiota composition.
Rationale:
Many bacterial pathogens causing respiratory infections in children are common residents of the respiratory tract. Insight into bacterial colonization patterns and microbiota stability at a young age might elucidate healthy or susceptible conditions for development of respiratory disease.
Objectives:
To study bacterial succession of the respiratory microbiota in the first 2 years of life and its relation to respiratory health characteristics.
Methods:
Upper respiratory microbiota profiles of 60 healthy children at the ages of 1.5, 6, 12, and 24 months were characterized by 16S-based pyrosequencing. We determined consecutive microbiota profiles by machine-learning algorithms and validated the findings cross-sectionally in an additional cohort of 140 children per age group.
Measurements And Main Results:
Overall, we identified eight distinct microbiota profiles in the upper respiratory tract of healthy infants. Profiles could already be identified at 1.5 months of age and were associated with microbiota stability and change over the first 2 years of life. More stable patterns were marked by early presence and high abundance of Moraxella and Corynebacterium/Dolosigranulum and were positively associated with breastfeeding in the first period of life and with lower rates of parental-reported respiratory infections in the consecutive periods. Less stable profiles were marked by high abundance of Haemophilus or Streptococcus.
Conclusions:
These findings provide novel insights into microbial succession in the respiratory tract in infancy and link early-life profiles to microbiota stability and respiratory health characteristics. New prospective studies should elucidate potential implications of our findings for early diagnosis and prevention of respiratory infections. Clinical trial registered with www.clinicaltrials.gov (NCT00189020).
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