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http://dx.doi.org/10.1016/j.amjmed.2016.12.015 | DOI Listing |
Clin Nutr
December 2024
Department of Experimental and Clinical Biomedical Sciences, University of Florence, Italy. Electronic address:
Background&aims: Celiac disease (CD) and potential CD (pCD) are immune-mediated disorders triggered by the ingestion of gluten. In non-celiac gluten sensitivity (NCGS) neither allergic nor autoimmune mechanisms are involved. Relationships between NCGS and CD need to be further investigated.
View Article and Find Full Text PDFWorld J Gastrointest Endosc
December 2024
Celiac Disease Center at Columbia University Medical Center, Columbia University, New York, NY 10032, United States.
Celiac disease is an autoimmune condition that affects approximately 1% of the worldwide community. Originally thought to be confined mostly to the small intestine, resulting in villous atrophy and nutrient malabsorption, it has more recently been implicated in systemic manifestations as well, particularly when undiagnosed or left untreated. Herein, the physical and psychological symptoms of celiac disease are described and explored.
View Article and Find Full Text PDFJ Gastrointestin Liver Dis
December 2024
Academic Unit of Gastroenterology, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield; Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom.
Background And Aims: In coeliac disease, the clinical role of the urinary gluten immunogenic peptide is unclear. It has been suggested it can be a non-invasive marker of villous atrophy. Therefore, we present the largest cross-sectional clinical data in patients with coeliac disease to establish the diagnostic accuracy of the urinary gluten immunogenic peptide in identifying villous atrophy.
View Article and Find Full Text PDFSci Rep
December 2024
Kahn Sagol Maccabi Research & Innovation Center, Maccabi Healthcare Services, Tel Aviv, Israel.
Identifying which patients should undergo serologic screening for celiac disease (CD) may help diagnose patients who otherwise often experience diagnostic delays or remain undiagnosed. Using anonymized outpatient data from the electronic medical records of Maccabi Healthcare Services, we developed and evaluated five machine learning models to classify patients as at-risk for CD autoimmunity prior to first documented diagnosis or positive serum tissue transglutaminase (tTG-IgA). A train set of highly seropositive (tTG-IgA > 10X ULN) cases (n = 677) with likely CD and controls (n = 176,293) with no evidence of CD autoimmunity was used for model development.
View Article and Find Full Text PDFCureus
November 2024
Pediatric Gastroenterology Department, King Abdullah University Hospital, Ar-Ramtha, JOR.
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