The gut microbiome and metabolome in children with a first febrile urinary tract infection: a pilot study

Barbora Piteková1,2,3, Ivan Hric4,5, Jakub Zieg6

  • 1Department of Pediatric Emergency Medicine, National Institute of Children's Diseases, Bratislava, Slovakia.

Insights

Children with their first febrile urinary tract infection (fUTI) have altered gut microbiomes, showing lower diversity and beneficial bacteria. Breastfeeding duration is a key factor in predicting fUTI risk.

Area of Science:

  • Pediatric Infectious Diseases
  • Microbiome Research
  • Gut Health and Immunity

Background:

  • Febrile urinary tract infection (fUTI) is a common pediatric bacterial infection with potential severe complications.
  • Emerging research suggests gut microbiome dysbiosis may contribute to fUTI development in infants.
  • Understanding these microbial shifts is crucial for preventing serious health outcomes.

Purpose of the Study:

  • To investigate and compare gut microbiota composition between infants experiencing their first fUTI and healthy controls.
  • To identify specific microbial patterns and factors associated with fUTI onset in children.
  • To explore the role of the gut microbiome in the pathogenesis of fUTI.

Main Methods:

  • An observational study comparing 17 children with their first fUTI to 18 healthy controls.
  • Analysis of gastrointestinal microbiome composition.
  • Measurement of fecal and urinary metabolites.

Main Results:

  • Children with first fUTI exhibited significantly lower gut microbial alpha-diversity (Shannon index) and reduced beneficial bacteria (short-chain fatty acids producers).
  • The duration of breastfeeding was found to significantly influence gut microbiota, decreasing pathogenic bacteria and increasing beneficial taxa.
  • Shannon diversity, breastfeeding duration, and specific bacteria (Faecalibacterium, Escherichia) were identified as strong predictors of fUTI.

Conclusions:

  • Gut microbiome alterations are significantly associated with the occurrence of fUTI in children.
  • Machine learning models identified key predictors including Shannon index, specific bacterial taxa, and breastfeeding.
  • The gut microbiome shows potential as a target for fUTI prevention strategies.
Abstract

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