10.3390/polym8030084

Vollständiger Abstract

Worum geht es in dieser Arbeit?

Extracellular vesicles (EVs) have emerged as fundamental pillars of intercellular communication, acting as primary mediators of the bidirectional biochemical crosstalk within the integrated bone-muscle unit. This review provides a comprehensive synthesis of EV-mediated signaling across the bone-muscle axis, offering a side-by-side mapping of vesicular biogenesis, cargo composition, and functional roles in both tissues. Under physiological conditions, skeletal muscle- and bone-derived EVs orchestrate tissue homeostasis, adaptations to physical exercise, myogenesis, and bone remodeling by transferring unique molecular cargos of proteins and specific microRNAs. However, aging induces a profound remodeling of the EV secretome toward a senescent profile characterized by harmful vesicular factors. This dysfunctional vesicular signaling impairs both muscle regeneration and osteogenesis, directly contributing to the pathogenesis of interconnected age-related disorders like sarcopenia, osteoporosis, and osteosarcopenia. Concurrently, circulating EVs represent valuable, minimally invasive biomarkers for early diagnosis. On the therapeutic front, this review critically evaluates emerging EV-based approaches, utilizing mesenchymal stem cell-derived, bioengineered, or biomaterial-incorporated EVs, offering promising, low-immunogenic alternatives to cell transplantation to enhance musculoskeletal tissue repair and restore bone-muscle homeostasis. Despite persisting technical challenges regarding large-scale production and standardization, targeting or leveraging EV-mediated communication represents one of the most innovative and revolutionary strategies to counteract age-related musculoskeletal decline. By unifying physiological mechanisms, age-related molecular reprogramming, and therapeutic engineering across both muscle and bone into a single narrative, this review provides a comprehensive framework to guide future research and clinical translation in musculoskeletal health.

Abstract: PubMed · Datensatz