Analysis of the Efficacy and the Long-term Metabolic and Nutritional Status of Sleeve Gastrectomy with Transit Bipartition Compared to Roux-en-Y Gastric Bypass in Obese Rats

Obesity Surgery(2023)

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摘要
Purpose Sleeve gastrectomy with transit bipartition (SG-TB) could be an attractive alternative to Roux-en-Y gastric bypass (RYGB) on weight loss and improvement of comorbidities in patients with obesity. However, there is little long-term data. Translational research on a rat model could allow long-term projection to assess efficacy and safety of SG-TB. The aim of this research was to evaluate the long-term efficacy and safety of SG-TB compared to RYGB and SHAM in rat model. Materials and Methods Ninety-four male obese Wistar rats were distributed into 3 groups: SG-TB ( n = 34), RYGB ( n = 32), and SHAM (control group, n = 28). The percentage of total weight loss (%TWL), coprocalorimetry, glucose and insulin tolerance test, insulin, GLP-1, PYY, and GIP before and after surgery were assessed. The animals were followed over 6 months (equivalent to 16 years in humans). Results At 6 months, %TWL was significantly greater( p = 0.025) in the SG-TB group compared to the RYGB group. There was no difference between the groups ( p = 0.86) in malabsorption 15 and 120 days postoperatively. Glucose tolerance was significantly improved ( p = 0.03) in the SG-TB and RYGB groups compared to the preoperative state. Insulin secretion, at 3 months, was significantly more important in the SG-TB group ( p = 0.0003), compared to the RYGB and SHAM groups. GLP-1 secretion was significantly increased in the SG-TB and RYGB groups compared to the preoperative state ( p = 0.001) but similar between SG-TB and RYGB animals ( p = 0.72). Conclusion In a rat model, at long term compared to RYGB, SG-TB provides greater and better-maintained weight loss and an increased insulin secretion without impairing nutritional status . Graphical Abstract
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关键词
Bariatric surgery, Sleeve gastrectomy with transit bipartition, Roux-en-Y gastric bypass, Rodent model, Translational model
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