ROBERTO BIZZOTTO, GIANFRANCO DI GIUSEPPE, LAURA SOLDOVIERI, FRANCESCA CINTI, SIMONA MOFFA, MICHELA BRUNETTI, GEA CICCARELLI, SERGIO ALFIERI, GIUSEPPE QUERO, ANDREA MARI, ANDREA GIACCARI, TERESA MEZZA
{"title":"1559-P:胰腺切除术导致 50%β细胞质量丧失后代谢参数轨迹的异质性","authors":"ROBERTO BIZZOTTO, GIANFRANCO DI GIUSEPPE, LAURA SOLDOVIERI, FRANCESCA CINTI, SIMONA MOFFA, MICHELA BRUNETTI, GEA CICCARELLI, SERGIO ALFIERI, GIUSEPPE QUERO, ANDREA MARI, ANDREA GIACCARI, TERESA MEZZA","doi":"10.2337/db24-1559-p","DOIUrl":null,"url":null,"abstract":"Temporal trajectories of metabolic parameters in the onset of dysglycemia are heterogeneous. We aimed to characterize the temporal trajectories of metabolic parameters after β cell mass reduction by pancreatectomy and to study their heterogeneity. Individuals without known diabetes diagnosis (N = 83) underwent mixed-meal/oral glucose tolerance tests (MMTT/OGTT) and/or hyperglycemic/euglycemic clamp (HC/EC) procedures, before and after surgery. We performed stepwise multivariate linear regression analysis on the glucose tolerance (GT) class (treated as ordinal number, 1 to 3) after surgery, using as independent variables the baselines and changes with surgery of anthropometrics and MMTT- and HC-derived functional parameters of insulin secretion, clearance, and sensitivity (IS), imputed via missForest algorithm when missing. We used the variables selected in this analysis (p<0.01) as input for the reversed graphed embedding (RGE) framework, to identify groups of individuals with extreme combinations of the variables (archetypes). Independent associations with after-surgery GT class (cross-validated R2 = 0.57) were observed for changes in IS and β cell glucose sensitivity (GS), and for baseline IS, GS, 1st phase insulin secretion, insulin secretion at 6 mmol/L glucose, and insulin clearance. IS and the β cell function parameters showed different trajectories combinations in each of the 5 archetypes identified via RGE (median adjusted Rand index = 0.88; N = 16, 8, 15, 13, 18). After surgery, all archetypes included individuals in each of the 3 GT classes (all proportions > 0 at 95% CI). The same β cell mass reduction determines a variety of combinations in changes of IS and β cell functional mechanisms. We identified five archetypes underlying these combinations. The same final GT class can be reached by individuals in any of the archetypes, which shed light on the hidden heterogeneity of glycaemic deterioration. Disclosure R. Bizzotto: None. G. Di Giuseppe: None. L. Soldovieri: None. F. Cinti: None. S. Moffa: None. M. Brunetti: None. G. Ciccarelli: None. S. Alfieri: None. G. Quero: None. A. Mari: Consultant; Lilly Diabetes. A. Giaccari: None. T. Mezza: None.","PeriodicalId":11376,"journal":{"name":"Diabetes","volume":"75 1","pages":""},"PeriodicalIF":6.2000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"1559-P: Heterogeneity of Trajectories of Metabolic Parameters after 50% Beta-Cell Mass Loss by Pancreatectomy\",\"authors\":\"ROBERTO BIZZOTTO, GIANFRANCO DI GIUSEPPE, LAURA SOLDOVIERI, FRANCESCA CINTI, SIMONA MOFFA, MICHELA BRUNETTI, GEA CICCARELLI, SERGIO ALFIERI, GIUSEPPE QUERO, ANDREA MARI, ANDREA GIACCARI, TERESA MEZZA\",\"doi\":\"10.2337/db24-1559-p\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Temporal trajectories of metabolic parameters in the onset of dysglycemia are heterogeneous. We aimed to characterize the temporal trajectories of metabolic parameters after β cell mass reduction by pancreatectomy and to study their heterogeneity. Individuals without known diabetes diagnosis (N = 83) underwent mixed-meal/oral glucose tolerance tests (MMTT/OGTT) and/or hyperglycemic/euglycemic clamp (HC/EC) procedures, before and after surgery. We performed stepwise multivariate linear regression analysis on the glucose tolerance (GT) class (treated as ordinal number, 1 to 3) after surgery, using as independent variables the baselines and changes with surgery of anthropometrics and MMTT- and HC-derived functional parameters of insulin secretion, clearance, and sensitivity (IS), imputed via missForest algorithm when missing. We used the variables selected in this analysis (p<0.01) as input for the reversed graphed embedding (RGE) framework, to identify groups of individuals with extreme combinations of the variables (archetypes). Independent associations with after-surgery GT class (cross-validated R2 = 0.57) were observed for changes in IS and β cell glucose sensitivity (GS), and for baseline IS, GS, 1st phase insulin secretion, insulin secretion at 6 mmol/L glucose, and insulin clearance. IS and the β cell function parameters showed different trajectories combinations in each of the 5 archetypes identified via RGE (median adjusted Rand index = 0.88; N = 16, 8, 15, 13, 18). After surgery, all archetypes included individuals in each of the 3 GT classes (all proportions > 0 at 95% CI). The same β cell mass reduction determines a variety of combinations in changes of IS and β cell functional mechanisms. We identified five archetypes underlying these combinations. The same final GT class can be reached by individuals in any of the archetypes, which shed light on the hidden heterogeneity of glycaemic deterioration. Disclosure R. Bizzotto: None. G. Di Giuseppe: None. L. Soldovieri: None. F. Cinti: None. S. Moffa: None. M. Brunetti: None. G. Ciccarelli: None. S. Alfieri: None. G. Quero: None. A. Mari: Consultant; Lilly Diabetes. A. Giaccari: None. T. 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1559-P: Heterogeneity of Trajectories of Metabolic Parameters after 50% Beta-Cell Mass Loss by Pancreatectomy
Temporal trajectories of metabolic parameters in the onset of dysglycemia are heterogeneous. We aimed to characterize the temporal trajectories of metabolic parameters after β cell mass reduction by pancreatectomy and to study their heterogeneity. Individuals without known diabetes diagnosis (N = 83) underwent mixed-meal/oral glucose tolerance tests (MMTT/OGTT) and/or hyperglycemic/euglycemic clamp (HC/EC) procedures, before and after surgery. We performed stepwise multivariate linear regression analysis on the glucose tolerance (GT) class (treated as ordinal number, 1 to 3) after surgery, using as independent variables the baselines and changes with surgery of anthropometrics and MMTT- and HC-derived functional parameters of insulin secretion, clearance, and sensitivity (IS), imputed via missForest algorithm when missing. We used the variables selected in this analysis (p<0.01) as input for the reversed graphed embedding (RGE) framework, to identify groups of individuals with extreme combinations of the variables (archetypes). Independent associations with after-surgery GT class (cross-validated R2 = 0.57) were observed for changes in IS and β cell glucose sensitivity (GS), and for baseline IS, GS, 1st phase insulin secretion, insulin secretion at 6 mmol/L glucose, and insulin clearance. IS and the β cell function parameters showed different trajectories combinations in each of the 5 archetypes identified via RGE (median adjusted Rand index = 0.88; N = 16, 8, 15, 13, 18). After surgery, all archetypes included individuals in each of the 3 GT classes (all proportions > 0 at 95% CI). The same β cell mass reduction determines a variety of combinations in changes of IS and β cell functional mechanisms. We identified five archetypes underlying these combinations. The same final GT class can be reached by individuals in any of the archetypes, which shed light on the hidden heterogeneity of glycaemic deterioration. Disclosure R. Bizzotto: None. G. Di Giuseppe: None. L. Soldovieri: None. F. Cinti: None. S. Moffa: None. M. Brunetti: None. G. Ciccarelli: None. S. Alfieri: None. G. Quero: None. A. Mari: Consultant; Lilly Diabetes. A. Giaccari: None. T. Mezza: None.
期刊介绍:
Diabetes is a scientific journal that publishes original research exploring the physiological and pathophysiological aspects of diabetes mellitus. We encourage submissions of manuscripts pertaining to laboratory, animal, or human research, covering a wide range of topics. Our primary focus is on investigative reports investigating various aspects such as the development and progression of diabetes, along with its associated complications. We also welcome studies delving into normal and pathological pancreatic islet function and intermediary metabolism, as well as exploring the mechanisms of drug and hormone action from a pharmacological perspective. Additionally, we encourage submissions that delve into the biochemical and molecular aspects of both normal and abnormal biological processes.
However, it is important to note that we do not publish studies relating to diabetes education or the application of accepted therapeutic and diagnostic approaches to patients with diabetes mellitus. Our aim is to provide a platform for research that contributes to advancing our understanding of the underlying mechanisms and processes of diabetes.