Evidence map›Paper›PMID 38849333›Full record

ArticleNature communications2024

Optimizing cell therapy by sorting cells with high extracellular vesicle secretion.

Doyeon Koo, Xiao Cheng, Shreya Udani, Sevana Baghdasarian, Dashuai Zhu, Junlang Li, Brian Hall, Natalie Tsubamoto, Shiqi Hu, Jina Ko and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Review
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  17. Article
  18. Review
  19. A comprehensive comparison of DNA and RNA vaccines.Advanced drug delivery reviews · 2024
    Review
  20. Lab on a Particle Technologies.Analytical chemistry · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Doyeon Koo *Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0001-9877-7237
Xiao Cheng *Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA.
Shreya UdaniDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Sevana BaghdasarianDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Dashuai ZhuDepartment of Biomedical Engineering, Columbia University, New York, NY, 10032, USA.ORCID http://orcid.org/0000-0002-4645-5786
Junlang LiXsome Biotech, Raleigh, NC, 27606, USA.
Brian HallCytek Biosciences, Fremont, CA, 94538, USA.
Natalie TsubamotoDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Shiqi HuDepartment of Biomedical Engineering, Columbia University, New York, NY, 10032, USA.ORCID http://orcid.org/0000-0002-8570-3439
Jina KoDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0002-4941-4234
Ke ChengDepartment of Biomedical Engineering, Columbia University, New York, NY, 10032, USA. ke.cheng@columbia.edu.ORCID http://orcid.org/0000-0001-7082-6893
Dino Di CarloDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA. dicarlo@ucla.edu.ORCID http://orcid.org/0000-0003-3942-4284

Funding

Harnessing Platelet-Endothelial Interactions for Stem Cell DeliveryR01HL144002 · NHLBI · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Ke Cheng · 2019 to 2026
$4.5M
Modulating Exosome Cargos and Surfaces for Precision Heart RepairR01HL146153 · NHLBI · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Ke Cheng · 2019 to 2026
$4.2M
Hydrogel nanovial technology for single-cell sorting based on extracellular vesicle productionR21GM142174 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DI CARLO, DINO · 2021 to 2022
$391k
American Heart Association (American Heart Association, Inc.) AHA19EIA34660286NHLBI NIH HHS R01 HL144002NHLBI NIH HHS R01 HL146153NIGMS NIH HHS R21 GM142174U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL144002U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL146153U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R21GM142174
6 · The paper itself

Abstract

Critical challenges remain in clinical translation of extracellular vesicle (EV)-based therapeutics due to the absence of methods to enrich cells with high EV secretion. Current cell sorting methods are limited to surface markers that are uncorrelated to EV secretion or therapeutic potential. Here, we utilize a nanovial technology for enrichment of millions of single cells based on EV secretion. This approach is applied to select mesenchymal stem cells (MSCs) with high EV secretion as therapeutic cells for improving treatment. The selected MSCs exhibit distinct transcriptional profiles associated with EV biogenesis and vascular regeneration and maintain high levels of EV secretion after sorting and regrowth. In a mouse model of myocardial infarction, treatment with high-secreting MSCs improves heart functions compared to treatment with low-secreting MSCs. These findings highlight the therapeutic importance of EV secretion in regenerative cell therapies and suggest that selecting cells based on EV secretion could enhance therapeutic efficacy.

Indexed as

Extracellular VesiclesMesenchymal Stem CellsMyocardial InfarctionAnimalsCell- and Tissue-Based TherapyCell SeparationDisease Models, AnimalHumansMaleMesenchymal Stem Cell TransplantationMiceMice, Inbred C57BL

Identifiers

PMID38849333
PMCPMC11161503

What Socratic 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 Socratic graph.