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201 Effects of GLP-1 on Glucose and Islet-Cell Secretory Responses to Protein Ingestion After Gastric Bypass or Sleeve Gastrectomy
- Maria S. Rayas, Henri Honka, Ralph A DeFronzo, Amalia Gastaldelli, Marzieh Salehi
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- Journal:
- Journal of Clinical and Translational Science / Volume 6 / Issue s1 / April 2022
- Published online by Cambridge University Press:
- 19 April 2022, p. 29
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OBJECTIVES/GOALS: In this study we sought to determine the role of glucagon-like peptide-1 (GLP-1), one of the main gut hormones in regulating glucose metabolism, after protein ingestion in patients with a history of Roux-en-Y gastric bypass (GB) and sleeve gastrectomy (SG). METHODS/STUDY POPULATION: We examined the glucose and islet-cell secretory responses to 50 g protein ingestion with and without a potent GLP-1 receptor antagonist, exendin-(9-39) [Ex-9], in 10 GB-treated subjects, 9 SG-treated, and 7 non-operated controls (CN). The groups were matched for age, BMI, fat-free mass, fasting glucose and insulin, and HbA1c. The surgical groups also were matched for weight loss and time post-surgery. No subjects had diabetes. RESULTS/ANTICIPATED RESULTS: Protein ingestion resulted in an early rise in glycemia (AUCGlucose1hr) in GB and SG, whereas CN had minimal change in glucose (p<0.05). Protein ingestion enhanced C-peptide responses in all groups, but to a larger extent in GB and SG when compared to CN (p<0.05). Early glucagon response to protein ingestion (AUCGlucagon1hr) tended to be larger in GB and SG subjects when compared to CN (p=0.07). Ex-9 increased premeal and prandial glycemia in all groups (p<0.05), but increase in early glycemia (AUCGlucose1hr) was most notable in GB (p=0.1, interaction). This glycemic effect of Ex-9 was associated with a ~25% reduction in prandial C-peptide secretion in GB and SG and ~8% increase in CN (p<0.05, interaction). Early prandial glucagon responses were larger during studies with Ex-9 compared to those without (p<0.05). DISCUSSION/SIGNIFICANCE: Our findings indicate that glucose metabolism after protein ingestion is altered after GB and SG. To our knowledge, this is the first report to demonstrate that endogenous GLP-1 contributes to glucose and islet-cell secretory response to protein ingestion, and that GB and SG exaggerate GLP-1 contribution to insulin secretion after protein ingestion.
3069 Characterizing the Neural Signature of Metabolic Syndrome
- Eithan Kotkowski, Larry R. Price, Crystal G. Franklin, Maximino Salazar, Ralph A. DeFronzo, David Glahn, John Blangero, Peter T. Fox
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- Journal:
- Journal of Clinical and Translational Science / Volume 3 / Issue s1 / March 2019
- Published online by Cambridge University Press:
- 26 March 2019, p. 4
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OBJECTIVES/SPECIFIC AIMS: Our objective is to understand the influence of the features comprising metabolic syndrome (central obesity, raised fasting plasma glucose, triglycerides, blood pressure, and decreased HDL cholesterol) on brain structure in men and women. With the understanding that MetS is a strong predictor of gray matter volume loss in specific brain regions, in this study we sought to quantify the influence of each of the metabolic syndrome biometric variables on the structures involved in the neural signature of metabolic syndrome. METHODS/STUDY POPULATION: We conducted multiple linear regression analyses on a cross-sectional sample of 800 individuals from the Genetics of Brian Structure (GOBS) image archive (352 men and 448 women). GOBS is an offshoot of the San Antonio Heart Study involving an extended pedigree of Mexican Americans from the greater San Antonio area. Its goal is to localize, identify, and characterize genes/quantitative trait loci associated with variations in brain structure and function (Winkler, 2010). The archive has continuously added participants from approximately 40 families since 2006. Neuroanatomic (T1-weighted MRI scans obtained on a Siemens 3T scanner and processed using FSL), neurocognitive, and biometric phenotypes have been obtained for each subject (including blood lipids). Linear regressions were run using SPSS and incorporated biometric and gray matter volume values obtained from 800 GOBS participants. RESULTS/ANTICIPATED RESULTS: Linear regressions incorporating metabolic syndrome variables as dependent variables and gray matter volume from regions involved in the neural signature of metabolic syndrome as predictors show significant predictive patterns that are largely similar between men and women, with some differences. Another linear regression conducted with gray matter volume from the neural signature of metabolic syndrome as the dependent variable and metabolic syndrome variables as predictors show that waist circumference and triglycerides are the greatest predictors of gray matter volume loss in men, and fasting plasma glucose and waist circumference are the greatest predictors of gray matter volume loss in women. DISCUSSION/SIGNIFICANCE OF IMPACT: Significant sex differences in the relationships between metabolic syndrome variables and gray matter volume changes between brain regions comprising the neural signature of metabolic syndrome were identified. waist circumference, fasting plasma glucose, and triglycerides are the most reliable predictors of gray matter volume loss. The variance in gray matter volume of the neural signature of metabolic syndrome in men is more significantly explained by waist circumference and triglycerides (when accounting for age) and in women is more significantly explained by waist circumference and fasting plasma glucose (when accounting for age). A model of metabolic syndrome that emphasizes a risk of neurodegeneration should focus on waist circumference for both men and women and weigh the remaining variables accordingly by sex (triglycerides in men and fasting plasma glucose in women).