Sweat as a Source of Next-Generation Digital Biomarkers
- PMID: 32095774
- PMCID: PMC7011725
- DOI: 10.1159/000504387
Sweat as a Source of Next-Generation Digital Biomarkers
Abstract
Sweat has been associated with health and disease ever since it was linked to high body temperature and exercise. It contains a broad range of electrolytes, proteins, and lipids, and therefore hosts a broad panel of potential noninvasive biomarkers. The development of novel smartphone-based biosensors will enable a more sophisticated, patient-driven sweat analysis. This will provide a broad range of novel digital biomarkers. Digital biomarkers are of increasing interest because they deliver various relevant longitudinal health data. To date, investigations on digital biomarkers have focused on creating objective measurements of function. Sweat analysis using smartphone-based biosensors has the potential to provide initial noninvasive metabolic feedback and therefore represents a promising complement and a source for next-generation digital biomarkers. From this viewpoint, we discuss state-of-the-art sweat research, focusing on the clinical implementation of sweat in medicine. Sweat provides biomarkers that represent direct metabolic feedback and is therefore expected to be the next generation of digital biomarkers. With regard to its broad application in various fields of medicine, we see a clear need to evolve the internet-enabled field of sweat expertise: iSudorology.
Keywords: Digital biomarkers; Sweat; Wearables; iSudorology.
Copyright © 2019 by S. Karger AG, Basel.
Conflict of interest statement
The authors have no conflicts of interest to declare.
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