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Biomaterials ScienceCell BiologyPeer-reviewed journal article

Red blood Cell-derived Extracellular Vesicles as biomaterials: the opportunity of freezing-induced accelerated aging

Lucia PaoliniiD, Miriam RomanoiD, Valentina MangoliniiD, Selene TassoniiD, Shuhan JiangiD, Elena Laura MazzoldiiD, Angelo MusicòiD, Andrea ZendriniiD, Anna D. KashkanovaiD, Vahid SandoghdariD, Anna Concetta BerardiiD, Silvia Clara GilianiiD, Paolo BergeseiD, Annalisa RadeghieriiD

PDFDOIPreprint

Abstract

Red blood cell-derived extracellular vesicles (RBC-EVs) are emerging as promising biomaterials for next-generation drug delivery, due to their inherent biocompatibility, immune evasion capabilities, and minimal oncogenic risk. However, their clinical translation remains limited by unresolved challenges related to heterogeneity, reproducibility, and long-term storage. This study proposes a method that leverages freezing-induced ageing for obtaining highly homogeneous RBC-EV batches, an important step towards using RBC-EVs as healthcare biomaterials and advancing their clinical translation in EV-based nanomedicine. This method was made possible thanks to the analytical support of discontinuous sucrose density gradient and high-resolution interferometric nanoparticle tracking analysis, which allowed the identification of a bimodal subpopulation distribution, in terms of vesicle size, interferometric contrast, and subpopulation profiles, in freshly prepared samples, and then tracked how long-term cold storage at -80 {degrees}C channeled this heterogeneity into a monomodal population. Finally, we evaluated the functionality of homogenized RBC-EV samples by assessing surface-associated enzymatic activity and uptake in cancer cell lines, demonstrating that freeze-thaw-induced accelerated-aging provides a viable strategy for producing RBC-EV preparations that retain membrane integrity and remain readily internalized by cells. These findings offer valuable insights into the optimization and standardization of RBC-EV handling and storage protocols, providing a foundation for their reliable integration into EV-based therapeutic applications.

Citations
5
FWCI
1.49
Field percentile
top 18%

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