Jay M Sosenko, David Cuthbertson, Laura M Jacobsen, Maria J Redondo, Emily K Sims, Heba M Ismail, Kevan C Herold, Jay S Skyler, Brandon M Nathan
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Linear regression of area under the curve (AUC) glucose versus Index60 was performed to identify two fractions: dependent (dAUCGLU) or independent (iAUCGLU) of insulin secretion. <b><i>Results:</i></b> The lack of correlation (<i>r</i> = 0.06) of iAUCGLU and the inverse correlation of dAUCGLU (<i>r</i> = -0.59) with the first-phase insulin response from DPT-1 were consistent with the independent and dependent designations of the glucose fractions. Correlations of AUC C-peptide were inverse with dAUCGLU and positive with iAUCGLU (TNPTP: <i>r</i> = -0.72, <i>r</i> = 0.57; DPT-1: <i>r</i> = -0.56, <i>r</i> = 0.60). The explained variance of AUC C-peptide increased markedly after separating AUC glucose into its fractions (from 4% to 85% in TNPTP; from 1% to 67% in DPT-1). The independent fraction contributed more to the increased glycemia of impaired glucose tolerance (IGT) than did the dependent fraction. Both dAUCGLU and iAUCGLU predicted IGT and type 1 diabetes (T1D) (<i>P</i> < 0.0001 for all). However, whereas dAUCGLU was more predictive of T1D (chi-square: 849 vs. 249), iAUCGLU was more predictive of IGT (chi-square: 451 vs. 176). <b><i>Conclusions:</i></b> A glucose fraction independent of insulin secretion was identified that was appreciable in autoantibody-positive individuals. It provides insight into the relation between glucose and C-peptide, contributes substantially to the glycemia of IGT, and predicts both T1D and IGT, particularly the latter.</p>","PeriodicalId":11159,"journal":{"name":"Diabetes technology & therapeutics","volume":" ","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Glucose Fraction Independent of Insulin Secretion: Implications for Type 1 Diabetes Progression in Autoantibody-Positive Cohorts.\",\"authors\":\"Jay M Sosenko, David Cuthbertson, Laura M Jacobsen, Maria J Redondo, Emily K Sims, Heba M Ismail, Kevan C Herold, Jay S Skyler, Brandon M Nathan\",\"doi\":\"10.1089/dia.2024.0422\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Objective:</i></b> We assessed whether there is an impactful glucose fraction independent of insulin secretion in autoantibody-positive individuals. <b><i>Research Design and Methods:</i></b> Baseline 2-h oral glucose tolerance test data from the TrialNet Pathway to Prevention (TNPTP; <i>n</i> = 6190) and Diabetes Prevention Trial-Type 1 (DPT-1; <i>n</i> = 705) studies were used. Linear regression of area under the curve (AUC) glucose versus Index60 was performed to identify two fractions: dependent (dAUCGLU) or independent (iAUCGLU) of insulin secretion. <b><i>Results:</i></b> The lack of correlation (<i>r</i> = 0.06) of iAUCGLU and the inverse correlation of dAUCGLU (<i>r</i> = -0.59) with the first-phase insulin response from DPT-1 were consistent with the independent and dependent designations of the glucose fractions. Correlations of AUC C-peptide were inverse with dAUCGLU and positive with iAUCGLU (TNPTP: <i>r</i> = -0.72, <i>r</i> = 0.57; DPT-1: <i>r</i> = -0.56, <i>r</i> = 0.60). The explained variance of AUC C-peptide increased markedly after separating AUC glucose into its fractions (from 4% to 85% in TNPTP; from 1% to 67% in DPT-1). The independent fraction contributed more to the increased glycemia of impaired glucose tolerance (IGT) than did the dependent fraction. Both dAUCGLU and iAUCGLU predicted IGT and type 1 diabetes (T1D) (<i>P</i> < 0.0001 for all). However, whereas dAUCGLU was more predictive of T1D (chi-square: 849 vs. 249), iAUCGLU was more predictive of IGT (chi-square: 451 vs. 176). <b><i>Conclusions:</i></b> A glucose fraction independent of insulin secretion was identified that was appreciable in autoantibody-positive individuals. 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引用次数: 0
摘要
目的:我们评估在自身抗体阳性个体中是否存在独立于胰岛素分泌的有影响的葡萄糖分数。研究设计和方法:TrialNet途径预防(TNPTP)的基线2小时口服葡萄糖耐量试验数据;n = 6190)和糖尿病预防试验1型(DPT-1;N = 705)项研究被采用。曲线下面积(AUC)葡萄糖与Index60进行线性回归,以确定胰岛素分泌的两个部分:依赖(dAUCGLU)或独立(iAUCGLU)。结果:iAUCGLU与DPT-1一期胰岛素反应不相关(r = 0.06), dAUCGLU与DPT-1一期胰岛素反应呈负相关(r = -0.59),这与葡萄糖组分的独立和依赖特性一致。AUC c肽与dAUCGLU呈负相关,与iAUCGLU呈正相关(TNPTP: r = -0.72, r = 0.57;DPT-1: r = -0.56, r = 0.60)。在将AUC葡萄糖分离成其组分后,AUC c肽的解释方差显著增加(TNPTP从4%到85%;DPT-1从1%到67%)。与依赖部分相比,独立部分对糖耐量受损(IGT)血糖升高的贡献更大。dAUCGLU和iAUCGLU均可预测IGT和1型糖尿病(T1D) (P < 0.0001)。然而,dAUCGLU更能预测T1D(卡方:849比249),而iAUCGLU更能预测IGT(卡方:451比176)。结论:在自身抗体阳性的个体中发现了独立于胰岛素分泌的葡萄糖部分。它提供了葡萄糖和c肽之间的关系,对IGT的血糖有重要贡献,并预测T1D和IGT,特别是后者。
A Glucose Fraction Independent of Insulin Secretion: Implications for Type 1 Diabetes Progression in Autoantibody-Positive Cohorts.
Objective: We assessed whether there is an impactful glucose fraction independent of insulin secretion in autoantibody-positive individuals. Research Design and Methods: Baseline 2-h oral glucose tolerance test data from the TrialNet Pathway to Prevention (TNPTP; n = 6190) and Diabetes Prevention Trial-Type 1 (DPT-1; n = 705) studies were used. Linear regression of area under the curve (AUC) glucose versus Index60 was performed to identify two fractions: dependent (dAUCGLU) or independent (iAUCGLU) of insulin secretion. Results: The lack of correlation (r = 0.06) of iAUCGLU and the inverse correlation of dAUCGLU (r = -0.59) with the first-phase insulin response from DPT-1 were consistent with the independent and dependent designations of the glucose fractions. Correlations of AUC C-peptide were inverse with dAUCGLU and positive with iAUCGLU (TNPTP: r = -0.72, r = 0.57; DPT-1: r = -0.56, r = 0.60). The explained variance of AUC C-peptide increased markedly after separating AUC glucose into its fractions (from 4% to 85% in TNPTP; from 1% to 67% in DPT-1). The independent fraction contributed more to the increased glycemia of impaired glucose tolerance (IGT) than did the dependent fraction. Both dAUCGLU and iAUCGLU predicted IGT and type 1 diabetes (T1D) (P < 0.0001 for all). However, whereas dAUCGLU was more predictive of T1D (chi-square: 849 vs. 249), iAUCGLU was more predictive of IGT (chi-square: 451 vs. 176). Conclusions: A glucose fraction independent of insulin secretion was identified that was appreciable in autoantibody-positive individuals. It provides insight into the relation between glucose and C-peptide, contributes substantially to the glycemia of IGT, and predicts both T1D and IGT, particularly the latter.
期刊介绍:
Diabetes Technology & Therapeutics is the only peer-reviewed journal providing healthcare professionals with information on new devices, drugs, drug delivery systems, and software for managing patients with diabetes. This leading international journal delivers practical information and comprehensive coverage of cutting-edge technologies and therapeutics in the field, and each issue highlights new pharmacological and device developments to optimize patient care.