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Published on: December 22, 2014
Day-21 gut microbiota community state types are associated with bronchopulmonary dysplasia classification in preterm
Wenjun Xiong1,2, Xudong Yan3, Hui Guo2
1Clinical Medical Research Center, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology, The Second Clinical Medical College, Jinan University), Shenzhen, China.
Insights
Early gut microbiome patterns in preterm infants may predict bronchopulmonary dysplasia (BPD). Specific gut microbial communities at day 21 were linked to BPD development, offering insights into infant microbiome ecology.
Area of Science:
- Neonatal Medicine
- Microbiome Research
- Pediatric Pulmonology
Background:
- Bronchopulmonary dysplasia (BPD) is a significant complication affecting preterm infants.
- Current BPD classification relies on gestational age and respiratory status.
- Early-life gut microbiota may influence BPD development.
Purpose of the Study:
- To investigate the association between early gut microbiota composition and later BPD classification.
- To explore the ecological information provided by infant gut microbiome profiles.
- To assess if day-21 gut microbiota can predict BPD in preterm infants.
Main Methods:
- Prospective cohort study of 23 preterm infants (<32 weeks GA or <1500g birth weight).
- Shotgun metagenomic sequencing of fecal samples at postnatal day 21.
- Unsupervised clustering to identify Community State Types (CSTs) and assess their relation to BPD.
Main Results:
- Two distinct CSTs were identified: CST1 (commensals, metabolic pathways) and CST2 (pathobionts, virulence pathways).
- Higher BPD incidence was observed in CST2 infants (58.3%) compared to CST1 infants (9.1%; p=0.027).
- An exploratory model combining CST status and gestational age showed potential predictive value (AUC 0.800 after cross-validation).
Conclusions:
- Day-21 gut microbiota profiles and CST classification show preliminary association with formal BPD classification.
- These findings suggest the gut microbiome provides ecological information relevant to BPD.
- Further validation in larger cohorts is required to establish clinical utility and causality.
Introduction:
Bronchopulmonary dysplasia (BPD) is a major complication in preterm infants, and its clinical classification remains strongly influenced by gestational maturity and the evolving respiratory course. In this exploratory study, we investigated whether early-life gut microbiota configurations at postnatal day 21 are associated with subsequent formal BPD classification at 36 weeks postmenstrual age and whether they provide ecological information relevant to preterm infant microbiome development.
Methods:
In a prospective cohort of 23 preterm infants with gestational age <32 weeks or birth weight <1,500 g, shotgun metagenomic sequencing of day-21 fecal samples was performed. Community state types (CSTs) were identified using unsupervised clustering, and their taxonomic, functional, and exploratory discrimination patterns were assessed in relation to subsequent BPD classification.
Results:
Two CSTs were identified. CST1 was dominated by commensal taxa and exhibited functional enrichment in metabolic homeostasis pathways. CST2 was characterized by pathobionts, fragmented taxon-pathway association networks, and enrichment in virulence-related pathways. BPD was observed in 1 of 11 CST1 infants and 7 of 12 CST2 infants (9.1% vs. 58.3%; two-sided Fisher's exact test, p = 0.027), although this association was based on very small cell counts. In exploratory discrimination analysis, a model combining CST status with gestational age showed an apparent AUC of 0.892; however, leave-one-out cross-validation yielded a lower AUC of 0.800, indicating likely optimism in the apparent model performance.
Discussion:
These preliminary, observational findings suggest that day-21 gut microbiota profiles and CST classification may provide ecological information associated with formal BPD classification. However, this analysis should be interpreted as exploratory discrimination rather than validation of a clinically useful prediction model. Establishing causality or clinical utility requires validation in larger cohorts that systematically track longitudinal confounders such as gestational age, feeding mode, antibiotics, and probiotics.
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