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Meconium microbiome analysis identifies bacteria correlated with premature birth.
- Source :
-
PloS one [PLoS One] 2014 Mar 10; Vol. 9 (3), pp. e90784. Date of Electronic Publication: 2014 Mar 10 (Print Publication: 2014). - Publication Year :
- 2014
-
Abstract
- Background: Preterm birth is the second leading cause of death in children under the age of five years worldwide, but the etiology of many cases remains enigmatic. The dogma that the fetus resides in a sterile environment is being challenged by recent findings and the question has arisen whether microbes that colonize the fetus may be related to preterm birth. It has been posited that meconium reflects the in-utero microbial environment. In this study, correlations between fetal intestinal bacteria from meconium and gestational age were examined in order to suggest underlying mechanisms that may contribute to preterm birth.<br />Methods: Meconium from 52 infants ranging in gestational age from 23 to 41 weeks was collected, the DNA extracted, and 16S rRNA analysis performed. Resulting taxa of microbes were correlated to clinical variables and also compared to previous studies of amniotic fluid and other human microbiome niches.<br />Findings: Increased detection of bacterial 16S rRNA in meconium of infants of <33 weeks gestational age was observed. Approximately 61·1% of reads sequenced were classified to genera that have been reported in amniotic fluid. Gestational age had the largest influence on microbial community structure (R = 0·161; p = 0·029), while mode of delivery (C-section versus vaginal delivery) had an effect as well (R = 0·100; p = 0·044). Enterobacter, Enterococcus, Lactobacillus, Photorhabdus, and Tannerella, were negatively correlated with gestational age and have been reported to incite inflammatory responses, suggesting a causative role in premature birth.<br />Interpretation: This provides the first evidence to support the hypothesis that the fetal intestinal microbiome derived from swallowed amniotic fluid may be involved in the inflammatory response that leads to premature birth.
- Subjects :
- Amniotic Fluid microbiology
Biodiversity
Biomarkers metabolism
Colony Count, Microbial
Confounding Factors, Epidemiologic
Delivery, Obstetric
Female
Gestational Age
Humans
Infant, Newborn
Inflammation Mediators metabolism
Pregnancy
S100A12 Protein metabolism
Bacteria metabolism
Meconium microbiology
Microbiota
Premature Birth microbiology
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 9
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 24614698
- Full Text :
- https://doi.org/10.1371/journal.pone.0090784