Metabolic outcomes after total pancreatectomy with islet autotransplantation (TPIAT) are influenced by the islet mass transplanted. Preclinical and clinical studies indicate that insulin and C-peptide levels measured after intravenous administration of the beta cell secretagogue arginine can be used to estimate the available islet mass. We sought to determine if preoperative arginine stimulation test (AST) results predicted transplanted islet mass and metabolic outcomes in pediatric patients undergoing TPIAT. We evaluated the association of preoperative C-peptide and insulin responses to AST with islet isolation metrics using linear regression, and with postoperative insulin independence using logistic regression. Twenty-six TPIAT patients underwent preoperative AST from 2015 to 2018. The acute C-peptide response to arginine (ACRarg) was correlated with isolated islet equivalents (IEQ; r = 0.59, P = 0.002) and islet number (IPN; r = 0.48, P = 0.013). The acute insulin response to arginine (AIRarg) was not significantly correlated with IEQ (r = 0.38, P = 0.095) or IPN (r = 0.41, P = 0.071). Neither ACRarg nor AIRarg was associated with insulin use at 6 months postoperatively. Preoperative C-peptide response to arginine correlates with islet mass available for transplant in pediatric TPIAT patients. AST represents an additional tool before autotransplant to provide counseling on likely islet mass and to inform quality improvements of islet isolation techniques.
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http://dx.doi.org/10.1111/ctr.13647 | DOI Listing |
Exp Parasitol
December 2024
Romero Lascasas Porto Laboratory of Helminthology, Department of Microbiology, Immunology and Parasitology, Medical Sciences College (FCM), Rio de Janeiro State University (UERJ), Rio de Janeiro, Brazil.
It is not well understood how type 1 diabetes (T1D) and concomitant acute schistosomiasis mansoni affect pancreatic architecture. Male Swiss mice were administered streptozotocin (single 100 mg/kg i.p.
View Article and Find Full Text PDFDiabetologia
December 2024
Department of Cardiology, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China.
Aims/hypothesis: Pancreatic beta cell mass is dynamically regulated in response to increased physiological and pathological demands. Understanding the mechanisms that control physiological beta cell proliferation could provide valuable insights into novel therapeutic approaches to diabetes. Here, we aimed to analyse the intracellular and extracellular signalling pathways involved in regulating the physiological proliferation of beta cells using single-cell RNA-seq (scRNA-seq) and in vitro functional assays.
View Article and Find Full Text PDFDiabetologia
December 2024
Key Laboratory of Human Functional Genomics of Jiangsu Province, Nanjing Medical University, Nanjing, Jiangsu, China.
Aims/hypothesis: The key pancreatic beta cell transcription factor v-maf musculoaponeurotic fibrosarcoma oncogene homologue A (MafA) is critical for the maintenance of mature beta cell function and phenotype. The expression levels and/or activities of MafA are reduced when beta cells are chronically exposed to diabetogenic stress, such as hyperglycaemia (i.e.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
December 2024
Department of Endocrinology, Metabolism and Nephrology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.
Context: In most cases of non-islet cell tumor hypoglycemia (NICTH), high molecular weight forms of insulin-like growth factor II, commonly referred to as big IGF-II, cause hypoglycemia. MicroRNA-483 (miR-483), encoded within an intron of IGF2 gene, has been suggested to be co-expressed with IGF-II.
Objective: The aim of this study is to demonstrate the utility and reliability of circulating miR-483 as a biomarker for diagnosis and therapeutic outcome of NICTH.
Diabetes Technol Ther
December 2024
Department of Genome Sciences, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.
Early identification of individuals at high risk for type 1 diabetes (T1D) is essential for timely intervention. Islet autoantibodies (AB) and continuous glucose monitoring (CGM) reveal early signs of glycemic dysregulation, while T1D genetic risk scores (GRS) further improve disease prediction. We use CGM data and T1D GRS to develop an AB classifier (1 AB vs.
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