Evidence map›Paper›PMID 36277506›Full record

ReviewScience and technology of advanced materials2022

Advances of engineered extracellular vesicles-based therapeutics strategy.

Hiroaki Komuro, Shakhlo Aminova, Katherine Lauro, Masako Harada

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Science and technology of advanced materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
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  6. Article
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  11. Article
  12. Article
  13. Circulating Extracellular Vesicles in Cardiovascular Disease.International journal of molecular sciences · 2025
    Review
  14. Review
  15. Article
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  19. Basic Guide for Approaching Drug Delivery with Extracellular Vesicles.International journal of molecular sciences · 2024
    Review
  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

4 authors.

Hiroaki KomuroInstitute for Quantitative Health Science and Engineering (IQ), Michigan State University, East Lansing, MI, USA.ORCID https://orcid.org/0000-0002-8249-6761
Shakhlo AminovaInstitute for Quantitative Health Science and Engineering (IQ), Michigan State University, East Lansing, MI, USA.
Katherine LauroInstitute for Quantitative Health Science and Engineering (IQ), Michigan State University, East Lansing, MI, USA.
Masako HaradaInstitute for Quantitative Health Science and Engineering (IQ), Michigan State University, East Lansing, MI, USA.ORCID https://orcid.org/0000-0003-0871-1125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are a heterogeneous population of lipid bilayer membrane-bound vesicles which encapsulate bioactive molecules, such as nucleic acids, proteins, and lipids. They mediate intercellular communication through transporting internally packaged molecules, making them attractive therapeutics carriers. Over the last decades, a significant amount of research has implied the potential of EVs servings as drug delivery vehicles for nuclear acids, proteins, and small molecular drugs. However, several challenges remain unresolved before the clinical application of EV-based therapeutics, including lack of specificity, stability, biodistribution, storage, large-scale manufacturing, and the comprehensive analysis of EV composition. Technical development is essential to overcome these issues and enhance the pre-clinical therapeutic effects. In this review, we summarize the current advancements in EV engineering which demonstrate their therapeutic potential.

Indexed as

biomaterialsdrug deliveryengineered extracellular vesiclesEV therapeuticsExtracellular vesicles

Identifiers

PMID36277506
PMCPMC9586594

What OpenQuestion holds

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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.