ArticleBMJ open diabetes research & care2024
A static glucose-stimulated insulin secretion (sGSIS) assay that is significantly predictive of time to diabetes reversal in the human islet bioassay.
Article in BMJ open diabetes research & care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Article
- Inter-organ communication shapes human metabolic tissue states and resolves anti-diabetic drug response modes in a six-tissue microphysiological system.bioRxiv : the preprint server for biology · 2026Article
- Quality control strategy for differentiating induced pluripotent stem cells into pancreatic β-cells before transplantation.Regenerative medicine · 2026Review
- Sodium-glucose co-transporter 2 inhibitors improve insulin resistance and β-cell function in type 2 diabetes: A meta-analysis.World journal of diabetes · 2025Article
- Cell identity dynamics and insight into insulin secretagogues when employing stem cell-derived islets for disease modeling.Frontiers in bioengineering and biotechnology · 2024Article
- Advances in stem cell-derived beta-cell therapy: A new frontier in type 1 diabetes treatment.Cell transplantationReview
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
introductionStatic 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
methodsOur 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.
resultsIn the case of the sGSIS the Delta provided a superior islet potency metric relative to the SI.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.