Extremely preterm neonates have more Lactobacillus in meconium than very preterm neonates – the in utero microbial colonization hypothesis. Issue 1 (9th November 2020)

• Record Type: Journal Article
• Authors: Morais, Juliana; Marques, Cláudia; Teixeira, Diana; Durão, Catarina; Faria, Ana; Brito, Sara; Cardoso, Manuela; Macedo, Israel; Pereira, Esmeralda; Tomé, Teresa; Calhau, Conceição
• Is Part Of: Gut microbes. Volume 12:Issue 1(2020)
• Publication Date: 2020-11-09
• Subjects: Lactobacillus -- meconium -- maternal microbiota -- preterm neonates; Gastrointestinal system -- Microbiology -- Periodicals; Microbiology -- Periodicals; Intestine, Small -- Periodicals; 616.3
• DOI: 10.1080/19490976.2020.1785804
• Languages: English
• ISSNs: 1949-0984

Abstract

ABSTRACT: Growing evidence suggests that maternal microbiota can influence the neonates' gut colonization. However, the mechanisms of vertical bacterial transmission remain poorly defined. We believed that the first colonizers of the newborn come from the mother's gut and vagina during pregnancy and that this is independent of the mode of delivery. We conducted an observational longitudinal study to evaluate the link between the maternal gut microbiota and the meconium's microbiota in extremely and very preterm neonates. Bacterial DNA was extracted from samples and specific bacterial groups were quantified by RT-PCR. In this cohort of 117 preterm neonates, we detected bacterial DNA in 88% of meconium samples. Meconium microbiota of neonates born after 28 gestational weeks (very preterm neonates) showed stronger correlations with their mothers' fecal microbiota. However, neonates born before 28 gestational weeks (extremely preterm neonates) had more Lactobacillus – genus that dominated the vaginal microbiota – than very preterm neonates, regardless of the mode of delivery. Collectively, these data support the hypothesis that maternal bacteria from the gut and vagina can play a role in shaping neonates' gut microbiota and that mother-to-infant bacterial transmission is a controlled and time-specific process. ClinicalTrials.gov Identifier: NCT03663556