Novel Approach to Track the Lifecycle of Inflammation from Chemokine Expression to Inflammatory Proteins in Sweat Using Electrochemical Biosensor

Badrinath Jagannath, Madhavi Pali, Kai-Chun Lin, Devangsingh Sankhala, Pejman Naraghi, S. Muthukumar, Shalini Prasad
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引用次数: 12

Abstract

Inflammatory biomarkers are modulated during the course of any infectious disease, and currently, there is no wearable technology that enables patient management through noninvasive monitoring of these markers. This work is the first demonstration of the discovery and quantification of interferon‐inducible protein (IP‐10) and tumor necrosis factor‐related apoptosis‐inducing ligand (TRAIL), two key prognostic markers of infection in human sweat. The levels of IP‐10 and TRAIL in sweat are quantified, validated, and confirmed using a standard reference method through preclinical human subject studies. Additionally, simultaneous and continuous detection of IP‐10, TRAIL, and C‐reactive protein (CRP), for infection monitoring in sweat using a wearable SWEATSENSER device is demonstrated. The SWEATSENSER is ultrasensitive with a limit of detection of 1 pg mL−1 (IP‐10 and TRAIL), 0.2 ng mL−1 (CRP) with a wide dynamic range. Bland–Altman analysis demonstrates good agreement between SWEATSENSER and standard reference methods through human subject studies. Serum to sweat relationship demonstrates the potential of the SWEATSENSER to track infection etiology.
利用电化学生物传感器追踪汗液中从趋化因子表达到炎症蛋白的炎症生命周期的新方法
炎症生物标志物在任何传染病的过程中都会被调节,目前,还没有可穿戴技术可以通过对这些标志物的无创监测来实现患者管理。这项工作首次证明了干扰素诱导蛋白(IP - 10)和肿瘤坏死因子相关凋亡诱导配体(TRAIL)的发现和量化,这是人类汗液感染的两个关键预后标志物。通过临床前人体受试者研究,使用标准参考方法对汗液中的IP‐10和TRAIL水平进行量化、验证和确认。此外,还演示了使用可穿戴式SWEATSENSER设备同时连续检测IP - 10、TRAIL和C反应蛋白(CRP),以监测汗液中的感染。SWEATSENSER超灵敏,检测限为1 pg mL−1 (IP‐10和TRAIL), 0.2 ng mL−1 (CRP),动态范围宽。Bland-Altman分析表明,通过人体受试者研究,SWEATSENSER与标准参考方法之间存在良好的一致性。血清与汗液的关系证明了SWEATSENSER在追踪感染病因方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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