Gut microbial network signatures of early colonizers in preterm neonates with extrauterine growth restriction

Yumei Liang1, Xiaomin Yao1, Zida Meng2

  • 1Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi Zhuang Autonomous Region, 533000, China.

BMC Microbiology
|March 9, 2024
PubMed

Insights

Extrauterine growth restriction (EUGR) in preterm infants is linked to altered gut microbial networks. Specific bacterial groups, crucial for short-chain fatty acid production, were less abundant in EUGR neonates, suggesting a potential role in impaired growth.

Area of Science:

  • Neonatal Medicine
  • Microbiome Research
  • Developmental Pediatrics

Background:

  • Extrauterine growth restriction (EUGR) is common in preterm infants and impacts long-term health.
  • EUGR is associated with changes in the gut microbiome and metabolic profiles.
  • Understanding early gut microbial colonization is key to addressing EUGR.

Purpose of the Study:

  • To investigate the gut microbial network characteristics in early colonizers of preterm neonates with EUGR.
  • To compare the gut microbiome composition between preterm infants with and without EUGR.

Main Methods:

  • Study included 29 preterm infants (14 EUGR, 15 AGA).
  • Meconium (D1), day 28 (D28), and 1-month post-discharge (M1) fecal samples were collected.
  • 16S rRNA gene sequencing (V3-V4 regions) was performed on extracted bacterial DNA.

Main Results:

  • Distinct gut microbiome developmental trajectories were observed between EUGR and AGA groups.
  • Significant microbial community differences were found at D1 and M1, but not D28.
  • EUGR infants showed lower relative abundance of short-chain fatty acid-producing bacteria, including Lactobacillus, Parabacteroides, Bifidobacterium, Dysgonomonas, Dialister, Dorea, and Fusobacterium.

Conclusions:

  • Preterm neonates with EUGR exhibit unique gut microbial signatures in early colonizers.
  • Further research is required to determine if these microbial differences cause or result from EUGR.
Abstract