Evidence map›Paper›PMID 34095360›Full record

ReviewBone reports2021

Mesenchymal stromal cell-derived extracellular vesicles for bone regeneration therapy.

Vishnu Priya Murali, Christina A Holmes

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Bone reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
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  4. Clinical Applications of Extracellular Vesicles: Promises and Pitfalls.International journal of molecular sciences · 2026
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  17. Educating EVs to Improve Bone Regeneration: Getting Closer to the Clinic.International journal of molecular sciences · 2022
    Review
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  20. Review
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

2 authors.

Vishnu Priya MuraliDepartment of Chemical and Biomedical Engineering, College of Engineering, Florida A&M University-Florida State University, 2525 Pottsdamer Street, Room A131, Tallahassee, FL 32310, USA.
Christina A HolmesDepartment of Chemical and Biomedical Engineering, College of Engineering, Florida A&M University-Florida State University, 2525 Pottsdamer Street, Room A131, Tallahassee, FL 32310, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze preclinical bone regeneration studies employing mesenchymal stromal cell (MSC)- derived extracellular vesicles (EVs) and highlight any commonalities in EV biomarker expression, miRNA cargo(s) or pathway activation that will aid in understanding the underlying therapeutic mechanisms.

methodsArticles employing EVs derived from either MSCs or MSC-like osteogenic stromal cells in preclinical bone regeneration studies are included in this review.

resultsEVs derived from a variety of MSC types were able to successfully induce bone formation in preclinical models. Many studies failed to perform in-depth EV characterization. The studies with detailed EV characterization data report very different miRNA cargos, even in EVs isolated from the same species and cell types. Few preclinical studies have analyzed the underlying mechanisms of MSC-EV therapeutic action.

conclusionThere is a critical need for mechanistic preclinical studies with thorough EV characterization to determine the best therapeutic MSC-EV source for bone regeneration therapies. Issues including controlled EV delivery, large scale production, and proper storage also need to be addressed before EV-based bone regeneration therapies can be translated for clinical bone repair.

Indexed as

BiomaterialsBone regenerationExtracellular vesiclesMesenchymal stromal cellsmiRNATissue engineering

Identifiers

PMID34095360
PMCPMC8166743

What OpenQuestion holds

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Registered trials

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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.