Network-Based Multiomic Nutrient-Associated Predictive Models for Inflammatory Bowel Disease
CANTARE provides an unbiased and comprehensive strategy that can integrate multiple omics to identify potential nutrient-associated predictors of IBD. Our models support the generation of hypotheses for follow-up targeted investigation in future dietary interventions for the management of IBD.
Authors
- Martine Saint-Cyr
- Nancy F. Krebs (ORCID: https://orcid.org/0000-0001-5652-7547)
- Edwin F. de Zoeten (ORCID: https://orcid.org/0000-0002-0946-9759)
- Evaniya Shakya (ORCID: https://orcid.org/0000-0002-6768-617X)
- Sarah J. Borengasser (ORCID: https://orcid.org/0000-0002-9984-0178)
- Janet Siebert (ORCID: https://orcid.org/0000-0001-8505-9359)
- Emily B. Hill (ORCID: https://orcid.org/0000-0002-0308-5666)
Institutions
- University of Washington (US)
- Washington University in St. Louis (US)
- Children's Hospital Colorado (US)
- University of Oklahoma Health Sciences Center (US)
- University of Colorado Anschutz Medical Campus (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- Current Developments in Nutrition
- Published
- 2025-10-04
- DOI
- https://doi.org/10.1016/j.cdnut.2025.107567
- Citations
- 1
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.81