Continuous glucose monitoring evidence of celiac disease in type 1 diabetes
Computational analysis revealed that blunted prandial glycemic trajectories, not hypoglycemia, are associated with undiagnosed celiac disease in children with type 1 diabetes using CGM. These findings challenge current guidelines, and future studies should validate and integrate these glycemic biomarkers into a CGM-based model for real-time prediction of celiac disease in type 1 diabetes.
Authors
- Jessica Ruiz (ORCID: https://orcid.org/0000-0002-7986-0817)
- Lisa A. Asaro (ORCID: https://orcid.org/0000-0001-5736-0304)
- David Wypij (ORCID: https://orcid.org/0000-0001-8367-8711)
- Michael S. D. Agus (ORCID: https://orcid.org/0000-0001-6454-6828)
- Christina M. Astley (ORCID: https://orcid.org/0000-0002-5063-8470)
- Elizabeth Healey (ORCID: https://orcid.org/0000-0002-7307-8429)
- Jocelyn A. Silvester (ORCID: https://orcid.org/0000-0002-3615-1666)
- Allison S Bernique
Institutions
- Broad Institute (US)
- Boston Children's Hospital (US)
- Harvard University (US)
- Boston Children's Museum (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Journal of Pediatric Endocrinology and Metabolism
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1515/jpem-2025-0302
- Primary Topic
- Celiac Disease Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00