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胰岛素分泌预测新发糖尿病患者对抗糖尿病治疗的反应。

Insulin Secretion Predicts the Response to Antidiabetic Therapy in Patients With New-onset Diabetes.

机构信息

Division of Diabetes, University of Texas Health Science Center and Texas Diabetes Institute, San Antonio, Texas, USA.

出版信息

J Clin Endocrinol Metab. 2021 Nov 19;106(12):3497-3504. doi: 10.1210/clinem/dgab403.

Abstract

CONTEXT

The results of the present study demonstrate that beta cell function in newly diagnosed T2DM patients is the key predictor of response to glucose lowering medications and provides a practical tool (C-Pep120 /C-Pep0) to guide the choice of glucose lowering agent.

OBJECTIVE

This work aims to identify predictors for individualization of antidiabetic therapy in patients with new-onset type 2 diabetes mellitus (T2DM).

METHODS

A total of 261 drug-naive participants in the Efficacy and Durability of Initial Combination Therapy for Type 2 Diabetes (EDICT) study, with new-onset diabetes, were randomly assigned in a single-center study to receive 1) metformin followed by glipizide and then insulin glargine on failure to achieve glycated hemoglobin A1c (HbA1c) less than 6.5%, or 2) initial triple therapy with metformin/pioglitazone/exenatide. Each patient received a 75-g oral glucose tolerance test (OGTT) prior to start of therapy. Factors that predicted response to therapy were identified using the area under the receiver operating characteristic curve method.

RESULTS

Thirty-nine patients started and maintained the treatment goal (HbA1c < 6.5%) on metformin only, and did not require intensification of antihyperglycemic therapy; 54 patients required addition of glipizide to metformin; and 47 patients required insulin addition to metformin plus glipizide for glucose control. The plasma C-peptide concentration (C-Pep)120/C-Pep0 ratio during the OGTT was the strongest predictor of response to therapy. Patients with a ratio less than 1.78 were more likely to require insulin for glucose control, whereas patients with a ratio greater than 2.65 were more likely to achieve glucose control with metformin monotherapy. In patients started on initial triple therapy, the HbA1c decreased independently of the C-Pep120/C-Pep0 ratio.

CONCLUSION

The increase in C-Pep above fasting following glucose load predicts the response to antihyperglycemic therapy in patients with new-onset diabetes. C-Pep120/C-Pep0 provides a useful tool for the individualization of antihyperglycemic therapy in patients with new-onset T2DM.

摘要

背景

本研究结果表明,新诊断的 2 型糖尿病患者的β细胞功能是降糖药物反应的关键预测指标,并提供了一种实用工具(C-Pep120/C-Pep0)来指导降糖药物的选择。

目的

本研究旨在确定新诊断 2 型糖尿病(T2DM)患者个体化降糖治疗的预测因素。

方法

在一项名为 Efficacy and Durability of Initial Combination Therapy for Type 2 Diabetes(EDICT)的研究中,共有 261 名新诊断糖尿病且未接受药物治疗的患者被随机分配到单中心研究中,分别接受 1)二甲双胍治疗,如果糖化血红蛋白(HbA1c)未能降至<6.5%,则依次加用格列吡嗪和甘精胰岛素;或 2)初始三联疗法,即二甲双胍/吡格列酮/艾塞那肽。每位患者在开始治疗前均进行 75 g 口服葡萄糖耐量试验(OGTT)。采用受试者工作特征曲线下面积法确定预测治疗反应的因素。

结果

39 名患者仅接受二甲双胍治疗即可达到并维持治疗目标(HbA1c<6.5%),无需强化降糖治疗;54 名患者需要加用格列吡嗪;47 名患者需要在二甲双胍加用格列吡嗪的基础上加用胰岛素控制血糖。OGTT 时的血浆 C 肽浓度(C-Pep)120/C-Pep0 比值是预测治疗反应的最强因素。比值<1.78 的患者更有可能需要胰岛素控制血糖,而比值>2.65 的患者更有可能通过单独使用二甲双胍控制血糖。起始三联疗法的患者,HbA1c 的降低与 C-Pep120/C-Pep0 比值无关。

结论

葡萄糖负荷后 C-Pep 较空腹时的增加预测了新诊断糖尿病患者对抗高血糖治疗的反应。C-Pep120/C-Pep0 为新诊断 T2DM 患者个体化降糖治疗提供了有用的工具。

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Inadequate β-cell mass is essential for the pathogenesis of type 2 diabetes.β细胞质量不足是 2 型糖尿病发病机制的关键。
Lancet Diabetes Endocrinol. 2020 Mar;8(3):249-256. doi: 10.1016/S2213-8587(20)30022-X. Epub 2020 Jan 29.

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