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A static glucose-stimulated insulin secretion (sGSIS) assay that is significantly predictive of time to diabetes reversal in the human islet bioassay.
Molano, Ruth Damaris; Pileggi, Antonello; Tse, Hubert M; Stabler, Cherie L; Fraker, Christopher A.
Afiliação
  • Molano RD; Cell Transplant Center, Diabetes Research Institute, University of Miami, Coral Gables, Florida, USA.
  • Pileggi A; Cell Transplant Center, Diabetes Research Institute, University of Miami, Coral Gables, Florida, USA.
  • Tse HM; Microbiology, Molecular Genetics, and Immunology, University of Kansas Medical Center, Kansas City, Kansas, USA.
  • Stabler CL; Department of Biomedical Engineering, University of Miami, Coral Gables, Florida, USA.
  • Fraker CA; J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida Herbert Wertheim College of Engineering, Gainesville, Florida, USA.
BMJ Open Diabetes Res Care ; 12(2)2024 Mar 14.
Article em En | MEDLINE | ID: mdl-38485229
ABSTRACT

INTRODUCTION:

Static incubation (static glucose-stimulated insulin secretion, sGSIS) is a measure of islet secretory function. The Stimulation Index (SI; insulin produced in high glucose/insulin produced in low glucose) is currently used as a product release criterion of islet transplant potency. RESEARCH DESIGN AND

METHODS:

Our hypothesis was that the Delta, insulin secreted in high glucose minus insulin secreted in low glucose, would be more predictive. To evaluate this hypothesis, sGSIS was performed on 32 consecutive human islet preparations, immobilizing the islets in a slurry of Sepharose beads to minimize mechanical perturbation. Simultaneous full-mass subrenal capsular transplants were performed in chemically induced diabetic immunodeficient mice. Logistic regression analysis was used to determine optimal cut-points for diabetes reversal time and the Fisher Exact Test was used to assess the ability of the Delta and the SI to accurately classify transplant outcomes. Receiver operating characteristic curve analysis was performed on cut-point grouped data, assessing the predictive power and optimal cut-point for each sGSIS potency metric. Finally, standard Kaplan-Meier-type survival analysis was conducted.

RESULTS:

In the case of the sGSIS the Delta provided a superior islet potency metric relative to the SI.ConclusionsThe sGSIS Delta value is predicitive of time to diabetes reversal in the full mass human islet transplant bioassay.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante das Ilhotas Pancreáticas / Ilhotas Pancreáticas / Diabetes Mellitus Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante das Ilhotas Pancreáticas / Ilhotas Pancreáticas / Diabetes Mellitus Idioma: En Ano de publicação: 2024 Tipo de documento: Article