Technical Feasibility of a Murine Model of Sleeve Gastrectomy with Ileal Transposition View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Lee D. Ying, Gregory A. Breuer, Matthew O. Hubbard, Geoffrey S. Nadzam, John Hwa, Kathleen A. Martin

ABSTRACT

BACKGROUND: Sleeve gastrectomy with ileal transposition has been shown to be superior to sleeve gastrectomy alone for promoting weight loss in rat and porcine models. The absence of a mouse model for this procedure has impeded efforts to understand the molecular physiology underlying its efficacy. This study demonstrates the long-term survivability of sleeve gastrectomy with ileal transposition in mice. MATERIALS AND METHODS: In this study of technical feasibility, a sleeve gastrectomy with ileal transposition (SGIT), sleeve gastrectomy (SG), or sham surgery (SH) was performed on 7- to 8-week-old C57Bl/6J mice (n = 8 for each). To evaluate long-term survivability, mice were placed on an obesogenic diet and weighed weekly for 10 weeks. The intestinal identity of the transposed segment was assessed with gene expression analysis of duodenal-, jejunal-, and ileal-specific hormones using quantitative polymerase chain reaction. RESULTS: Overall, SGIT better prevented weight gain than the SG or sham procedures (10-week post-operative weight: SH 45.3 ± 1.0 g, SG 41.25 ± 1.6 g, SGIT 35.4 ± 0.8 g). Gene expression pattern analysis of three markers of intestinal identity (gastrin, cholecystokinin, and peptide YY) suggests that the ileal identity of the transposed segment is maintained 10 weeks after transposition. CONCLUSIONS: We demonstrate for the first time a reproducible mouse model of sleeve gastrectomy with ileal transposition. Future studies utilizing this model will expand our understanding of the molecular pathways through which the hindgut regulates satiety. More... »

PAGES

593-600

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11695-018-3555-7

DOI

http://dx.doi.org/10.1007/s11695-018-3555-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107798205

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30353248


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