Investigating Circulating Extracellular Vesicles in Response to Physical Exercise
Year: 2024
Type: conference-paper
Study design: Observational Study
Abstract: Physical exercise represents a highly complex perturbation of homeostasis in a large number of tissues, largely consequential of the increasing metabolic demands of contracting skeletal muscle. When regularly performed, it produces physiological adaptations associated with improved health and longevity (Whitham M et al. (2018) Cell Metab 27, 237–251). Although exercise’s benefits are wellestablished, the molecular mechanisms underlying exercise adaptations remain illdefined and are actively being investigated. Extracellular vesicles are a major source of regulatory signals that play a key role in celltocell communication and have recently emerged as a potential tool through which the muscle communicates with other tissues and organs (Maggio S et al. (2023) Int J Mol Sci 24, 3039). For this reason, the present project aims to investigate and characterize circulating EVs released in response to high intensity and duration exercise. To isolate EVs, serum and plasma samples were collected from ultramarathoners pre and postrace and then processed with Size Exclusion Chromatography (SEC). The obtained SEC fractions were characterized by Nanoparticle Tracking Analysis to check particle counting and size distribution, which resulted comparable with those reported in literature as previously published in Maggio S et al. (2023) Int J Mol Sci 24, 3039. Dot blot assay, employed for EV marker detection, showed that EV surface protein CD9, musclerelated marker CAV3 and stressrelated marker HSP60 expression increased in postrace in most marathoners. These findings suggest that EVs could be involved in the systemic responses to high intensity and duration exercise. Circulating EVs could therefore represent an innovative source of exercise biomarkers which could give a helpful insight on the physiological activation state in response to physical exercise.
Authors: S. Fondi, P. Ceccaroli, E. Polidori, R. Agostini, F. Luchetti, S. Benedetti, V. StocchiI, M. Guescini
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7112730653