ArticlePhysiological reports2022
Utility of extracellular vesicles as a potential biological indicator of physiological resilience during military operational stress.
Article in Physiological reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Toward Understanding and Halting Legacies of Trauma.Biological psychiatry · 2025Review
- MicroRNAs signatures in small extracellular vesicles for psychological resilience in young adults using machine learning.Epigenomics · 2025Article
- THSD1 Is a Multifaceted Regulator in Health and Disease.Biomedicines · 2025Article
- Extracellular Vesicles in Sport Horses: Potential Biomarkers and Modulators of Exercise Adaptation and Therapeutics.International journal of molecular sciences · 2025Review
- Trauma and Sensory Systems: Biological Mechanisms Involving the Skin and the 17q21 Gene Cluster.Biological psychiatry · 2025Review
- Translational models of stress and resilience: An applied neuroscience methodology review.Neuroscience applied · 2024Review
- Neuromuscular electrical stimulation enhances the ability of serum extracellular vesicles to regenerate aged skeletal muscle after injury.Experimental gerontology · 2023Article
- A drug delivery system constructed by a fusion peptide capturing exosomes targets to titanium implants accurately resulting the enhancement of osseointegration peri-implant.Biomaterials research · 2022Article
- Utility of extracellular vesicles as a potential biological indicator of physiological resilience during military operational stress.Physiological reports · 2022Article
- Extracellular vesicles: Function, resilience, biomarker, bioengineering, and clinical implications.Tzu chi medical journalReview
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
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 < 79) resilience. EV features were stratified by size, then down-selected using regression trees and compared between groups. Diagnostic accuracy was assessed using receiver operating characteristic curves. Compared to low resilience, high resilience demonstrated a greater increase in variability of THSD1 local bright spot intensities among large-sized EVs in response to stress (p = 0.002, Hedges' g = 1.59). Among medium-sized EVs, high resilience exhibited a greater decrease in side scatter intensity (p = 0.014, Hedges' g = 1.17). Both features demonstrated high to moderate diagnostic accuracy for high resilience (AUC = 0.90 and 0.79). In contrast, neuroendocrine biomarker concentrations were similar between groups. The increase in variability among THSD1 + EVs in high, but not low, resilient individuals following stress may suggest high resilience is accompanied by stress-triggered apoptotic adaptations to the environment that are not detected in neuroendocrine biomarkers.
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Registered trials
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