Difference in the Intestinal Microbiota between Breastfeed Infants and Infants Fed with Artificial Milk: A Systematic Review.
Inchingolo FrancescoAngelo Michele InchingoloGiulia LatiniLaura FerranteElisabetta de RuvoMerigrazia CampanelliMarialuisa LongoAndrea PalermoAlessio Danilo InchingoloGianna DipalmaPublished in: Pathogens (Basel, Switzerland) (2024)
The gut microbiota (GM) plays a crucial role in human health, particularly during the first years of life. Differences in GM between breastfed and formula (F)-fed infants may influence long-term health outcomes. This systematic review aims to compare the gut microbiota of breastfed infants with that of F-fed infants and to evaluate the clinical implications of these differences. We searched databases on Scopus, Web of Science, and Pubmed with the following keywords: "gut microbiota", "gut microbiome", and "neonatal milk". The inclusion criteria were articles relating to the analysis of the intestinal microbiome of newborns in relation to the type of nutrition, clinical studies or case series, excluding reviews, meta-analyses, animal models, and in vitro studies. The screening phase ended with the selection of 13 publications for this work. Breastfed infants showed higher levels of beneficial bacteria such as Bifidobacterium and Lactobacillus, while F-fed infants had a higher prevalence of potentially pathogenic bacteria, including Clostridium difficile and Enterobacteriaceae. Infant feeding type influences the composition of oral GM significantly. Breastfeeding promotes a healthier and more diverse microbial ecosystem, which may offer protective health benefits. Future research should explore strategies to improve the GM of F-fed infants and understand the long-term health implications.
Keyphrases
- systematic review
- human health
- meta analyses
- public health
- healthcare
- risk assessment
- clostridium difficile
- multidrug resistant
- climate change
- escherichia coli
- risk factors
- microbial community
- pregnant women
- randomized controlled trial
- physical activity
- machine learning
- artificial intelligence
- klebsiella pneumoniae
- cystic fibrosis
- social media
- preterm birth
- low birth weight