BACKGROUND: Gastrointestinal weight loss surgery, especially Roux-en-Y gastric bypass (RYGB), is the most effective treatment for severe obesity. RYGB is associated with a remarkable decrease in the rate of death from obesity-related complications, such as diabetes mellitus, coronary artery disease, and cancer. Dissecting the mechanisms of RYGB effects could augment our understanding about the pathogenesis of obesity and its complications. OBJECTIVES AND METHODS: In this study, we describe in detail a mouse model of RYGB that closely reproduces the surgical steps of the human procedure. RESULTS: We show that RYGB in mice has the same effects as in human patients, proving the high translational validity of this model system. We present an intraoperative video to facilitate the widespread use of this complex and difficult method. CONCLUSIONS: The study of the mechanisms of RYGB using this model system can greatly facilitate our understanding about the effects of RYGB in human patients. The reverse engineering of the physiological mechanisms of RYGB could lead to discovery of new, effective, and less invasive treatments.
BACKGROUND: Gastrointestinal weight loss surgery, especially Roux-en-Y gastric bypass (RYGB), is the most effective treatment for severe obesity. RYGB is associated with a remarkable decrease in the rate of death from obesity-related complications, such as diabetes mellitus, coronary artery disease, and cancer. Dissecting the mechanisms of RYGB effects could augment our understanding about the pathogenesis of obesity and its complications. OBJECTIVES AND METHODS: In this study, we describe in detail a mouse model of RYGB that closely reproduces the surgical steps of the human procedure. RESULTS: We show that RYGB in mice has the same effects as in humanpatients, proving the high translational validity of this model system. We present an intraoperative video to facilitate the widespread use of this complex and difficult method. CONCLUSIONS: The study of the mechanisms of RYGB using this model system can greatly facilitate our understanding about the effects of RYGB in humanpatients. The reverse engineering of the physiological mechanisms of RYGB could lead to discovery of new, effective, and less invasive treatments.
Authors: Nima Saeidi; Luca Meoli; Eirini Nestoridi; Nitin K Gupta; Stephanie Kvas; John Kucharczyk; Ali A Bonab; Alan J Fischman; Martin L Yarmush; Nicholas Stylopoulos Journal: Science Date: 2013-07-26 Impact factor: 47.728
Authors: Alice P Liou; Melissa Paziuk; Jesus-Mario Luevano; Sriram Machineni; Peter J Turnbaugh; Lee M Kaplan Journal: Sci Transl Med Date: 2013-03-27 Impact factor: 17.956
Authors: Danny Ben-Zvi; Luca Meoli; Wasif M Abidi; Eirini Nestoridi; Courtney Panciotti; Erick Castillo; Palmenia Pizarro; Eleanor Shirley; William F Gourash; Christopher C Thompson; Rodrigo Munoz; Clary B Clish; Ron C Anafi; Anita P Courcoulas; Nicholas Stylopoulos Journal: Cell Metab Date: 2018-06-28 Impact factor: 27.287