journal article·2024-09

Direct and cell-mediated EV-ECM interplay

Olga Smirnova, Yuri Efremov, Timofey Klyucherev, Maria Peshkova, Alexey Senkovenko, Andrey Svistunov, Peter Timashev

Acta Biomaterialia· Volume 186
Publisher page

Abstract

Extracellular vesicles (EV) are a heterogeneous group of lipid particles excreted by cells. They play an important role in regeneration, development, inflammation, and cancer progression, together with the extracellular matrix (ECM), which they constantly interact with. In this review, we discuss direct and indirect interactions of EVs and the ECM and their impact on different physiological processes. The ECM affects the secretion of EVs, and the properties of the ECM and EVs modulate EVs' diffusion and adhesion. On the other hand, EVs can affect the ECM both directly through enzymes and indirectly through the modulation of the ECM synthesis and remodeling by cells. This review emphasizes recently discovered types of EVs bound to the ECM and isolated by enzymatic digestion, including matrix-bound nanovesicles (MBV) and tissue-derived EV (TiEV). In addition to the experimental studies, computer models of the EV-ECM-cell interactions, from all-atom models to quantitative pharmacology models aiming to improve our understanding of the interaction mechanisms, are also considered. STATEMENT OF SIGNIFICANCE: Application of extracellular vesicles in tissue engineering is an actively developing area. Vesicles not only affect cells themselves but also interact with the matrix and change it. The matrix also influences both cells and vesicles. In this review, different possible types of interactions between vesicles, matrix, and cells are discussed. Furthermore, the united EV-ECM system and its regulation through the cellular activity are presented.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Extracellular vesicles in disease · Nanoplatforms for cancer theranostics · Cell Adhesion Molecules Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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