Metabolic patterns of sweat-extracellular vesicles during exercise and recovery states using clinical grade patches.

ABSTRACT: Background: Metabolite-based sensors are attractive and highly valued for monitoring physiological parameters during rest and/or during physical activities. Owing to their molecular composition consisting of nucleic acids, proteins, and metabolites, extracellular vesicles (EVs) have become acknowledged as a novel tool for disease diagnosis. However, the evidence for sweat related EVs delivering information of physical and recovery states remains to be addressed. Methods: Taking advantage of our recently published methodology allowing the enrichment and isolation of sweat EVs from clinical patches, we investigated the metabolic load of sweat EVs in healthy participants exposed to exercise test or recovery condition. -Ten healthy volunteers (-three females and -seven males) wer

SUBMITTER: Ali N 

PROVIDER: S-EPMC10748597 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature