Circulating extracellular vesicles as systemic mediators of cardiac aging: Mechanisms, biomarkers, and therapeutic perspectives
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Updated: Jun 21, 2026

Isolation, Characterization, and Proteomic Analysis of Plasma-Derived Extracellular Vesicles for Cardiovascular Biomarker Discovery
Published on: January 31, 2025
Chan Zhang1, Yajuan Gao1, Yue Shen2
1School of Life Science and Technology, Northwestern Polytechnical University, Xi'an, China; Advanced Power Research Institute of Northwestern Polytechnical University in Sichuan Tianfu New Area, Chengdu, China.
Insights
Circulating extracellular vesicles (EVs) mediate communication between organs, contributing to cardiac aging and heart disease. Understanding EV roles offers new strategies for diagnosis and treatment of age-related cardiovascular conditions.
Area of Science:
- Cardiovascular Biology
- Aging Research
- Cellular Communication
Background:
- Cardiac aging contributes to heart failure and reduced cardiovascular resilience in the elderly.
- Systemic mechanisms driving age-related cardiac decline are not fully understood.
- Circulating extracellular vesicles (EVs) are key mediators of intercellular and inter-organ communication.
Purpose of the Study:
- To review the role of circulating EVs in cardiac aging.
- To explore EV sources and their impact on myocardial remodeling.
- To discuss EV potential as biomarkers and therapeutic targets for age-related heart disease.
Main Methods:
- Literature review of studies on EVs and cardiac aging.
- Analysis of EV contributions to senescence, inflammation, metabolic dysfunction, and fibrosis.
- Examination of EV-mediated intercellular and inter-organ crosstalk.
Main Results:
- EVs from various organs influence cardiac aging processes.
- EVs impact senescence-associated signaling, inflammation, mitochondrial function, fibrosis, and contractile function.
- EV profiles may reflect systemic comorbidities, complicating direct cardiac aging assessment.
Conclusions:
- Circulating EVs are critical in systemic mechanisms of cardiac aging.
- EVs hold potential as biomarkers for cardiac aging and age-related heart disease.
- Targeting EV-mediated communication presents novel therapeutic avenues for cardiovascular aging.
Abstract:
Cardiac aging is a fundamental contributor to heart failure, arrhythmias, impaired stress tolerance, and reduced cardiovascular resilience in the elderly. While intrinsic myocardial aging has been widely examined, the systemic mechanisms driving age-related cardiac decline are not fully understood. Circulating extracellular vesicles (EVs) have emerged as key mediators of intercellular and inter-organ communication, transferring proteins, lipids, and nucleic acids that modify the phenotypes of recipient cells. Growing evidence indicates that EVs originating from cardiovascular cells as well as distant organs, including the liver, kidney, adipose tissue, lung, and intestine, participate in cardiac aging by influencing senescence-associated signaling, chronic inflammation, mitochondrial and metabolic dysfunction, fibrosis, microvascular remodeling, and contractile function. In this review, we outline the biological basis of circulating EVs in cardiac aging, describe their cellular and inter-organ sources, and examine how they promote progressive myocardial remodeling. We also consider their potential as biomarkers for cardiac aging and age-related heart disease, along with emerging therapeutic strategies such as blocking pathogenic EV signals, using reparative or engineered EVs, and implementing systemic interventions that modulate EV-mediated communication. Key translational challenges are highlighted, including EV heterogeneity, low tissue specificity, methodological inconsistencies, and the need to distinguish physiological cardiac aging from accelerated aging and age-related cardiovascular disease, as EV profiles may reflect systemic comorbidities rather than intrinsic cardiac aging. A deeper understanding of systemic EV crosstalk may offer new insights into the aging heart and support more precise methods for risk stratification, monitoring, and intervention.
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