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Tracking metabolic responses based on macronutrient consumption: A comprehensive study to continuously monitor and quantify dual markers (cortisol and glucose) in human sweat using WATCH sensor
Bioengineering & Translational Medicine ( IF 7.4 ) Pub Date : 2021-07-18 , DOI: 10.1002/btm2.10241
Madhavi Pali 1 , Badrinath Jagannath 1 , Kai-Chun Lin 1 , Devangsingh Sankhala 2 , Sayali Upasham 1 , Sriram Muthukumar 3 , Shalini Prasad 1
Affiliation  

Wearable Awareness Through Continuous Hidrosis (WATCH) sensor is a sweat based monitoring platform that tracks cortisol and glucose for the purpose of understanding metabolic responses related to macronutrient consumption. In this research article, we have demonstrated the ability of tracking these two biomarkers in passive human sweat over a workday period (8 h) for 10 human subjects in conjunction with their macronutrient consumption. The validation of the WATCH sensor performance was carried out via standard reference methods such as Luminex and ELISA This is a first demonstration of a passive sweat sensing technology that can detect interrelated dual metabolites, cortisol, and glucose, on a single sensing platform. The significance of detecting the two biomarkers simultaneously is that capturing the body's metabolic and endocrinal responses to dietary triggers can lead to improved lifestyle management. For sweat cortisol, we achieved a detection limit of 1 ng/ml (range ∼1–12.5 ng/ml) with Pearson's “r” of 0.897 in reference studies and 0.868 in WATCH studies. Similarly, for sweat glucose, we achieved a detection limit of 1 mg/dl (range ∼ 1–11 mg/dl) with Pearson's “r” of 0.968 in reference studies and 0.947 in WATCH studies, respectively. The statistical robustness of the WATCH sensor was established through the Bland–Altman analysis, whereby the sweat cortisol and sweat glucose levels are comparable to the standard reference method. The probability distribution (t-test), power analysis (power 0.82–0.87), α = 0.05. Mean absolute relative difference (MARD) outcome of ˷5.10–5.15% further confirmed the statistical robustness of the sweat sensing WATCH device output.

中文翻译:

基于常量营养素消耗量跟踪代谢反应:使用 WATCH 传感器连续监测和量化人体汗液中的双重标记物(皮质醇和葡萄糖)的综合研究

W¯¯ earablewareness Ť hrough Ç ontinuous ħidrosis (WATCH) 传感器是一种基于汗液的监测平台,可跟踪皮质醇和葡萄糖,以了解与大量营养素消耗相关的代谢反应。在这篇研究文章中,我们展示了在一个工作日(8 小时)内跟踪 10 名人类受试者及其大量营养素消耗量的被动人体汗液中的这两种生物标志物的能力。WATCH 传感器性能的验证是通过 Luminex 和 ELISA 等标准参考方法进行的。这是被动汗液传感技术的首次演示,该技术可以在单个传感平台上检测相互关联的双代谢物、皮质醇和葡萄糖。同时检测这两种生物标志物的意义在于捕捉身体的' s 对饮食触发的新陈代谢和内分泌反应可以导致改善的生活方式管理。对于汗液皮质醇,我们使用 Pearson 的“r ” 在参考研究中为 0.897,在 WATCH 研究中为 0.868。类似地,对于汗液葡萄糖,我们实现了 1 mg/dl(范围 ∼ 1–11 mg/dl)的检测限,参考研究中的Pearson“ r ”分别为 0.968 和 WATCH 研究中的 0.947。WATCH 传感器的统计稳健性是通过 Bland-Altman 分析建立的,由此汗液皮质醇和汗液葡萄糖水平与标准参考方法相当。概率分布 ( t -test),功效分析(功效 0.82–0.87),α  = 0.05。˷5.10–5.15% 的平均绝对相对差异 (MARD) 结果进一步证实了汗液传感 WATCH 设备输出的统计稳健性。
更新日期:2021-09-23
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