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

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...

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Main Authors: Alex Eli Pottash, Daniel Levy, Anjana Jeyaram, Leo Kuo, Stephanie M. Kronstadt, Wei Chao, Steven M. Jay
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Non-Coding RNA
Subjects:
Online Access:https://www.mdpi.com/2311-553X/8/5/71
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author Alex Eli Pottash
Daniel Levy
Anjana Jeyaram
Leo Kuo
Stephanie M. Kronstadt
Wei Chao
Steven M. Jay
author_facet Alex Eli Pottash
Daniel Levy
Anjana Jeyaram
Leo Kuo
Stephanie M. Kronstadt
Wei Chao
Steven M. Jay
author_sort Alex Eli Pottash
collection DOAJ
description 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.
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spelling doaj.art-ffb4c65ba4504a89a24698d30b281c3e2023-11-24T01:42:33ZengMDPI AGNon-Coding RNA2311-553X2022-10-01857110.3390/ncrna8050071Combinatorial microRNA Loading into Extracellular Vesicles for Increased Anti-Inflammatory EfficacyAlex Eli Pottash0Daniel Levy1Anjana Jeyaram2Leo Kuo3Stephanie M. Kronstadt4Wei Chao5Steven M. Jay6Fischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USAFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USAFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USAFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USAFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USATranslational Research Program, Department of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine, 660 West Redwood Street, Baltimore, MD 21201, USAFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USAExtracellular 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.https://www.mdpi.com/2311-553X/8/5/71exosomesmiRNAinflammationsepsis
spellingShingle Alex Eli Pottash
Daniel Levy
Anjana Jeyaram
Leo Kuo
Stephanie M. Kronstadt
Wei Chao
Steven M. Jay
Combinatorial microRNA Loading into Extracellular Vesicles for Increased Anti-Inflammatory Efficacy
Non-Coding RNA
exosomes
miRNA
inflammation
sepsis
title Combinatorial microRNA Loading into Extracellular Vesicles for Increased Anti-Inflammatory Efficacy
title_full Combinatorial microRNA Loading into Extracellular Vesicles for Increased Anti-Inflammatory Efficacy
title_fullStr Combinatorial microRNA Loading into Extracellular Vesicles for Increased Anti-Inflammatory Efficacy
title_full_unstemmed Combinatorial microRNA Loading into Extracellular Vesicles for Increased Anti-Inflammatory Efficacy
title_short Combinatorial microRNA Loading into Extracellular Vesicles for Increased Anti-Inflammatory Efficacy
title_sort combinatorial microrna loading into extracellular vesicles for increased anti inflammatory efficacy
topic exosomes
miRNA
inflammation
sepsis
url https://www.mdpi.com/2311-553X/8/5/71
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