Microbiome insights into pediatric familial adenomatous polyposis

Thomas M Attard1, Seth Septer2, Caitlin E Lawson3

  • 1Department of Gastroenterology, Children's Mercy Hospital, 1MO2.37, 2401 Gilham Road, Kansas City, MO, 64108, USA.

Insights

Familial adenomatous polyposis (FAP) is linked to significant changes in gut microbiome diversity and composition. Specific bacterial markers in stool and tissue may help identify individuals at higher risk for FAP-related polyps.

Area of Science:

  • Microbiome research
  • Gastrointestinal oncology
  • Pediatric genetics

Background:

  • Familial adenomatous polyposis (FAP) is characterized by numerous precancerous polyps.
  • The tumor microenvironment in FAP is influenced by a dysbiotic microbiome.
  • Understanding these microbial shifts is crucial for early detection and management.

Purpose of the Study:

  • To comprehensively analyze the stool and tissue microbiome in pediatric FAP subjects.
  • To compare the microbiome of FAP patients with unaffected relatives.
  • To identify microbial signatures associated with polyp development using machine learning.

Main Methods:

  • 16S V4 region amplicon sequencing of stool and tissue samples.
  • Machine learning algorithms for microbial data analysis.
  • Comparison between FAP patients and healthy cohabiting controls.

Main Results:

  • Proteobacteria dominated polyp/non-polyp mucosa, while Firmicutes and Bacteroidetes were predominant in stool/tissue.
  • Reduced diversity and altered abundance of specific bacteria (e.g., Faecalibacterium, Bacteroides) were observed in FAP polyps and stool.
  • Machine learning identified distinct bacterial markers in stool (e.g., Micrococcus luteus) and tissue (e.g., Blastocatellaceae) differentiating FAP patients.

Conclusions:

  • Microbiome alterations, including shifts in specific bacterial taxa and diversity, are associated with FAP.
  • Certain bacterial concentrations in stool or polyps could serve as biomarkers for FAP risk stratification.
  • These findings support the potential of microbiome analysis as an adjunct to current FAP screening methods.
Abstract