A static glucose-stimulated insulin secretion (sGSIS) assay that is significantly predictive of time to diabetes reversal in the human islet bioassay.

IF 3.7 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Ruth Damaris Molano, Antonello Pileggi, Hubert M Tse, Cherie L Stabler, Christopher A Fraker
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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.

一种静态葡萄糖刺激胰岛素分泌(sGSIS)测定法,在人体胰岛生物测定中可显著预测糖尿病逆转的时间。
简介静态培养(静态葡萄糖刺激胰岛素分泌,sGSIS)是衡量胰岛分泌功能的一个指标。目前,刺激指数(SI;高糖时分泌的胰岛素/低糖时分泌的胰岛素)被用作胰岛移植有效性的产品释放标准:我们的假设是,Delta(高糖时分泌的胰岛素减去低糖时分泌的胰岛素)更具预测性。为了评估这一假设,我们对 32 个连续的人体胰岛制备物进行了 sGSIS,将胰岛固定在 Sepharose 珠浆中,以尽量减少机械干扰。在化学诱导的糖尿病免疫缺陷小鼠中同时进行了全质量肾下囊移植。利用逻辑回归分析确定糖尿病逆转时间的最佳切点,并利用费舍尔精确检验评估 Delta 和 SI 对移植结果进行准确分类的能力。对切点分组数据进行了接收者操作特征曲线分析,评估了每个 sGSIS 效能指标的预测能力和最佳切点。最后,进行了标准的卡普兰-梅耶生存分析:结论在全质量人体胰岛移植生物试验中,sGSIS Delta 值可预测糖尿病逆转的时间。
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来源期刊
BMJ Open Diabetes Research & Care
BMJ Open Diabetes Research & Care Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
9.30
自引率
2.40%
发文量
123
审稿时长
18 weeks
期刊介绍: BMJ Open Diabetes Research & Care is an open access journal committed to publishing high-quality, basic and clinical research articles regarding type 1 and type 2 diabetes, and associated complications. Only original content will be accepted, and submissions are subject to rigorous peer review to ensure the publication of high-quality — and evidence-based — original research articles.
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