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从人体离体脂肪组织芯片中高时间分辨率检测患者特异性葡萄糖摄取。

High Temporal Resolution Detection of Patient-Specific Glucose Uptake from Human ex Vivo Adipose Tissue On-Chip.

作者信息

Zambon Alessandro, Zoso Alice, Gagliano Onelia, Magrofuoco Enrico, Fadini Gian Paolo, Avogaro Angelo, Foletto Mirto, Quake Stephen, Elvassore Nicola

机构信息

†Department of Industrial Engineering, University of Padova, Padova 35131, Italy.

‡Venetian Institute of Molecular Medicine, Padova, 35129 Italy.

出版信息

Anal Chem. 2015 Jul 7;87(13):6535-43. doi: 10.1021/ac504730r. Epub 2015 Jun 25.

Abstract

Human tissue in vitro models on-chip are highly desirable to dissect the complexity of a physio-pathological in vivo response because of their advantages compared to traditional static culture systems in terms of high control of microenvironmental conditions, including accurate perturbations and high temporal resolution analyses of medium outflow. Human adipose tissue (hAT) is a key player in metabolic disorders, such as Type 2 Diabetes Mellitus (T2DM). It is involved in the overall energy homeostasis not only as passive energy storage but also as an important metabolic regulator. Here, we aim at developing a large scale microfluidic platform for generating high temporal resolution of glucose uptake profiles, and consequently insulin sensitivity, under physio-pathological stimulations in ex vivo adipose tissues from nondiabetic and T2DM individuals. A multiscale mathematical model that integrates fluid dynamics and an intracellular insulin signaling pathway description was used for assisting microfluidic design in order to maximize measurement accuracy of tissue metabolic activity in response to perturbations. An automated microfluidic injection system was included on-chip for performing precise dynamic biochemical stimulations. The temporal evolution of culture conditions could be monitored for days, before and after perturbation, measuring glucose concentration in the outflow with high temporal resolution. As a proof of concept for detection of insulin resistance, we measured insulin-dependent glucose uptake by hAT from nondiabetic and T2DM subjects, mimicking the postprandial response. The system presented thus represents an important tool in dissecting the role of single tissues, such as hAT, in the complex interwoven picture of metabolic diseases.

摘要

由于与传统静态培养系统相比,芯片上的人体组织体外模型在微环境条件的高度控制方面具有优势,包括精确的扰动和对培养基流出的高时间分辨率分析,因此非常适合剖析体内生理病理反应的复杂性。人体脂肪组织(hAT)是代谢紊乱(如2型糖尿病(T2DM))中的关键因素。它不仅作为被动的能量储存参与整体能量稳态,还作为重要的代谢调节因子。在这里,我们旨在开发一个大规模微流控平台,用于在非糖尿病和T2DM个体的离体脂肪组织的生理病理刺激下,生成葡萄糖摄取曲线的高时间分辨率,从而获得胰岛素敏感性。一个整合了流体动力学和细胞内胰岛素信号通路描述的多尺度数学模型被用于辅助微流控设计,以最大限度地提高组织代谢活性对扰动反应的测量准确性。芯片上包含一个自动微流控注射系统,用于进行精确的动态生化刺激。在扰动前后,可以对培养条件的时间演变进行数天的监测,以高时间分辨率测量流出物中的葡萄糖浓度。作为检测胰岛素抵抗概念验证,我们测量了非糖尿病和T2DM受试者的hAT对胰岛素依赖的葡萄糖摄取,模拟餐后反应。因此,所展示的系统是剖析单个组织(如hAT)在代谢疾病复杂交织图景中的作用的重要工具。

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