Microb Ecol. 2025 Apr 22;88(1):32. doi: 10.1007/s00248-025-02520-5.
ABSTRACT
This study is aimed at exploring the relationship between maternal weight categories, including pre-pregnancy body mass index (P-BMI) and gestational weight gain (GWG), and the composition of the infant gut microbiome in the early days of life. We recruited 71 mother-infant pairs from Kangwon National University Hospital and Bundang CHA Hospital, collecting meconium samples from the infants within the first 5 days postpartum. Using 16S ribosomal RNA gene sequencing (V3-V4 region), this study assessed microbial diversity and the relative abundance of specific bacterial taxa in these initial stool samples. Participants were categorized into groups based on maternal P-BMI and GWG, enabling a comprehensive comparison of the microbiota composition in the infants’ meconium across different maternal weight metrics. Our analysis identified significant variations in the infant gut microbiome correlated with maternal weight categories. Key findings include a differential abundance of genera such as Sphingobacteriaceae, Bacillaceae, Cytophagaceae, and Alteromonadaceae across maternal P-BMI groups, whereas Moraxellaceae and Rhodospirillaceae varied across GWG groups. In the P-BMI category, infants born to overweight mothers demonstrated a higher abundance of Pseudopedobacter, and a lower abundance of Citrobacter and Lachnospira, while infants in the underweight group showed a higher abundance of Lachnospira and Weissella. In the normal weight group, Citrobacter and Pseudopedobacter were more abundant. Within the GWG category, infants in the inadequate group showed a higher abundance of Klebsiella, whereas the normal group showed a higher abundance of Holdemania. The composition of the infant gut microbiome in the early postnatal period is significantly influenced by maternal weight categories. Understanding the role of maternal weight in shaping early microbial colonization may provide insights into developing strategies to optimize infant health outcomes through targeted interventions before and during pregnancy.
PMID:40261360 | DOI:10.1007/s00248-025-02520-5
