Coeliac disease: what can we learn from prospective studies about disease risk?

Marisa Stahl1, Sibylle Koletzko2, Carin Andrén Aronsson3

  • 1Pediatric Gastroenterology, Hepatology, and Nutrition, Digestive Health Institute, Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

PubMed

Insights

Paediatric prospective studies reveal genetic and environmental risk factors for coeliac disease. Future research will integrate multiomics for precise risk prediction and biomarker development.

Area of Science:

  • Pediatrics
  • Immunology
  • Genetics

Background:

  • Coeliac disease (CD) is an immune-mediated disorder triggered by gluten ingestion in genetically susceptible individuals.
  • Understanding CD pathogenesis requires investigating complex interactions between genetic predisposition and environmental exposures.
  • Paediatric prospective studies offer unique longitudinal data for dissecting disease etiology.

Purpose of the Study:

  • To review current knowledge on genetic and environmental risk factors for coeliac disease from paediatric prospective studies.
  • To highlight the potential of omics technologies in elucidating gene-environment interactions in CD.
  • To outline future directions for paediatric research in CD risk prediction and biomarker discovery.

Main Methods:

  • Review of international paediatric prospective cohort studies.
  • Analysis of findings from genetic association studies and environmental exposure research.
  • Integration of recent advances in multiomics (genomics, transcriptomics, proteomics, metabolomics).

Main Results:

  • Paediatric prospective studies have identified key genetic and environmental factors influencing coeliac disease risk.
  • Omics studies are revealing intricate interactions between genetic susceptibility and environmental triggers.
  • Longitudinal data are crucial for understanding disease development and progression.

Conclusions:

  • Paediatric prospective studies are essential for advancing our understanding of coeliac disease.
  • Future research integrating multiomics data will enable more accurate risk prediction models.
  • These studies hold promise for developing novel biomarkers and improving therapeutic strategies for coeliac disease.

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