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Seo, Jung Hee

A5110586140 | I145311948

Mayo Clinic

Johns Hopkins University

Citations 1

Duodenogastric reflux in health and disease: insights from a computational fluid dynamics model of the stomach

American Journal of Physiology-Gastrointestinal and Liver Physiology | January 28, 2025 | Volume: 328 | Issue: 4 | Pages: G411-G425

10.1152/ajpgi.00241.2024 | PMID 39873302

An in silico model of the stomach is presented to study the phenomenon of duodenogastric reflux. We use the model to investigate the role of pyloric incompetence, food properties, and gastroparesis on reflux. This first-ever in silico study of duodenogastric reflux provides new insights into the mechanisms and factors implicated in this reflux and the sequelae of conditions that result from the exposure of the stomach lumen to bile.