Selective Collection of Exhaled Breath Condensate for Noninvasive Screening of Breath Glucose.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM
Aditya Desai, Divya Tankasala, Gabriel P Ng, Pankti Thakkar, Orlando S Hoilett, Kieren J Mather, Jacqueline C Linnes
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Abstract

Background: Although exhaled breath condensate (EBC) is a promising noninvasive sample for detecting respiratory analytes such as glucose, current EBC collection methods yield inconsistent results.

Methods: We developed a custom EBC collection device with a temperature-based algorithm to selectively condense alveolar air for reproducible EBC glucose detection. We characterized the condensate volumes and the corresponding glucose concentrations. We performed a pilot study demonstrating its use during oral glucose tolerance tests.

Results: The novel device selectively captured alveolar air resulting in slightly higher and less variable glucose concentrations than the overall EBC. Participants with type 2 diabetes demonstrated significantly higher blood plasma-EBC glucose ratios than normoglycemic participants.

Conclusions: Temperature-based selective EBC collection allows EBC glucose measurement and is a promising sampling method to distinguish patients with and without diabetes.

选择性收集呼出的冷凝物,用于无创呼气葡萄糖筛查。
背景:尽管呼出气体冷凝物(EBC)是一种很有前景的无创检测呼吸道分析物(如葡萄糖)的样本:尽管呼出气体冷凝物(EBC)是一种很有前景的无创样本,可用于检测葡萄糖等呼吸道分析物,但目前的 EBC 采集方法产生的结果并不一致:我们开发了一种定制的 EBC 收集装置,该装置采用基于温度的算法,可选择性地冷凝肺泡空气,从而实现可重复的 EBC 葡萄糖检测。我们对冷凝体积和相应的葡萄糖浓度进行了鉴定。我们进行了一项试验研究,证明了该装置在口服葡萄糖耐量试验中的应用:结果:这种新型装置可选择性地捕获肺泡空气,从而获得比整个 EBC 稍高且变化较小的葡萄糖浓度。2 型糖尿病患者的血浆-EBC 葡萄糖比率明显高于正常血糖患者:基于温度的选择性 EBC 采集可进行 EBC 葡萄糖测量,是一种很有前途的采样方法,可用于区分糖尿病患者和非糖尿病患者。
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来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
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