Evidence map›Paper›PMID 36287123›Full record

ArticleNon-coding RNA2022

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

Alex Eli Pottash, Daniel Levy, Anjana Jeyaram, Leo Kuo, Stephanie M Kronstadt, Wei Chao, Steven M Jay

Open access · goldAbstract read
In one paragraph

Article in Non-coding RNA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 13 citations in OpenAlex.

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  13. Advancing cancer treatment:Frontiers in molecular biosciences · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Alex Eli PottashFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USA.
Daniel LevyFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USA.
Anjana JeyaramFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USA.
Leo KuoFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USA.
Stephanie M KronstadtFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USA.
Wei ChaoTranslational 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, USA.ORCID 0000-0002-2505-1360
Steven M JayFischell Department of Bioengineering, University of Maryland, 8278 Paint Branch Drive, College Park, MD 20742, USA.ORCID 0000-0002-3827-5988
University of Maryland, College Park · USUniversity of Maryland, Baltimore · US

Funding

Characterization of the Cardiac Progenitor Cell Exosomes for Optimal TherapeuticsR01HL141922 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI KAUSHAL, SUNJAY · 2019 to 2022
$2.8M
Dementia Following Spinal Cord Injury: Mechanism and Therapeutic TargetingRF1NS110637 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI JAY, STEVEN MICHAEL, WU, JUNFANG · 2019 to 2019
$2.8M
Targeting brain inflammation and neurocognitive dysfunction in sepsisR01NS110567 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI CHAO, WEI, WU, JUNFANG · 2019 to 2024
$2.5M
Extracellular miRNAs, innate immunity, and critical illnessR35GM140822 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI WEI CHAO · 2021 to 2026
$2.5M
Training in Host-pathogens interactionsT32AI089621 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI LEE, VINCENT T, MCIVER, KEVIN S. · 2010 to 2025
$2.1M
Controlling Exosome Noncoding RNA Cargo for Enhanced Wound HealingR01HL141611 · NHLBI · UNIV OF MARYLAND, COLLEGE PARK · PI JAY, STEVEN MICHAEL · 2018 to 2022
$1.9M
Enabling exosome biomarker development via digitized single vesicle analysisR01GM130923 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI DEVOE, DON L, WHITE, IAN M · 2019 to 2022
$1.7M
Extracellular miRNA-TLR7 Signaling in Sepsis PathogenesisR01GM122908 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI CHAO, WEI · 2018 to 2019
$618k
NHLBI NIH HHS R01 HL141611NHLBI NIH HHS R01 HL141922NIAID NIH HHS T32 AI089621NIGMS NIH HHS R01 GM122908NIGMS NIH HHS R01 GM130923NIGMS NIH HHS R35 GM140822NIH HHS AI089621NIH HHS GM122908NIH HHS GM130923NIH HHS GM140822NIH HHS HL141611NIH HHS HL141922NIH HHS NS110567NIH HHS NS110637NINDS NIH HHS R01 NS110567NINDS NIH HHS RF1 NS110637NSF 1750542
6 · The paper itself

Abstract

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.

Indexed as

exosomesinflammationmiRNAsepsis

Identifiers

PMID36287123
PMCPMC9611452
OpenAlexW4307263753

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.