| Autor: |
Meaghan E. Beckner, William R. Conkright, Amrita Sahu, Qi Mi, Zachary J. Clemens, Brian J. Martin, Shawn D. Flanagan, Fabio Ferrarelli, Fabrisia Ambrosio, Bradley C. Nindl |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Physiological Reports, Vol 10, Iss 7, Pp n/a-n/a (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2051-817X |
| DOI: |
10.14814/phy2.15219 |
| Popis: |
Abstract Extracellular vesicles (EVs) transport biological content between cells to mediate physiological processes. The association between EVs and resilience, the ability to cope with stress, is unknown. Using unbiased machine learning approaches, we aimed to identify a biological profile of resilience. Twenty servicemen (27.8 ± 5.9 years) completed the Connor Davidson Resilience (CD‐RISC) questionnaire and were exposed to daily physical and cognitive exertion with 48‐hr sleep and caloric restriction. Blood samples from baseline and the second day of stress were analyzed for neuroendocrine biomarkers impacted by military stress. EVs were isolated from plasma and stained with antibodies associated with exosomes (CD63), microvesicles (VAMP3), and apoptotic bodies (THSD1). Individuals were separated into high (n = 10, CD‐RISC > 90) and low (n = 10, CD‐RISC |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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