Combinatorial microRNA Loading into Extracellular Vesicles for Increased Anti-Inflammatory Efficacy

• Published in: Non-coding RNA Vol. 8; no. 5; p. 71
• Main Authors: Pottash, Alex Eli, Levy, Daniel, Jeyaram, Anjana, Kuo, Leo, Kronstadt, Stephanie M, Chao, Wei, Jay, Steven M
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 21.10.2022; MDPI
• Subjects: Biological activity; Cytokines; exosomes; Extracellular vesicles; Inflammation; MicroRNAs; miRNA; Sepsis; Sonication; miRNA; inflammation; exosomes; sepsis
• ISSN: 2311-553X; 2311-553X
• DOI: 10.3390/ncrna8050071

Extracellular vesicles (EVs) have emerged as promising therapeutic entities in part due to their potential to regulate multiple signaling pathways in target cells. This potential is derived from the broad array of constituent and/or cargo molecules associated with EVs. Among these, microRNAs (miRNAs) are commonly implicated as important and have been associated with a wide variety of EV-induced biological phenomena. While controlled loading of single miRNAs is a well-documented approach for enhancing EV bioactivity, loading of multiple miRNAs has not been fully leveraged to maximize the potential of EV-based therapies. Here, an established approach to extrinsic nucleic acid loading of EVs, sonication, was utilized to load multiple miRNAs in HEK293T EVs. Combinations of miRNAs were compared to single miRNAs with respect to anti-inflammatory outcomes in assays of increasing stringency, with the combination of miR-146a, miR-155, and miR-223 found to have the most potential amongst the tested groups.