Evidence map›Paper›PMID 35453619›Full record

ReviewBiomedicines2022

Characteristics of Extracellular Vesicles and Preclinical Testing Considerations Prior to Clinical Applications.

Min Heui Yoo, A-Ram Lee, Kyoung-Sik Moon

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Min Heui YooDepartment of Innovative Toxicology Research, Korea Institute of Toxicology, 141 Gajeon-ro, Yuseong-gu, Daejeon 34114, Korea.ORCID 0000-0002-0688-9731
A-Ram LeeDepartment of Innovative Toxicology Research, Korea Institute of Toxicology, 141 Gajeon-ro, Yuseong-gu, Daejeon 34114, Korea.
Kyoung-Sik MoonDepartment of Innovative Toxicology Research, Korea Institute of Toxicology, 141 Gajeon-ro, Yuseong-gu, Daejeon 34114, Korea.ORCID 0000-0003-3443-8230
Korea Institute of Toxicology · KR

Funding

Korean Health Technology R&D Project, Ministry of Health & Welfare HI20C0437
6 · The paper itself

Abstract

Cell therapy products have significant limitations, such as storage instability, difficulties with transportation, and toxicity issues such as tumorigenicity and immunogenicity. Extracellular vesicles (EVs) secreted from cells show potential for therapeutic agent development. EVs have not been widely examined as investigational drugs, and non-clinical studies for the clinical approval of EV therapeutic agents are challenging. EVs contain various materials, such as DNA, cellular RNA, cytokines, chemokines, and microRNAs, but do not proliferate or divide like cells, thus avoiding safety concerns related to tumorigenicity. However, the constituents of EVs may induce the proliferation of normal cells; therefore, the suitability of vesicles should be verified through non-clinical safety evaluations. In this review, the findings of non-clinical studies on EVs are summarized. We describe non-clinical toxicity studies of EVs, which should be useful for researchers who aim to develop these vesicles into therapeutic agents. A new method for evaluating the immunotoxicity and tumorigenicity of EVs should also be developed.

Indexed as

biodistributioncytokinesdrug delivery agentsimmunogenicitymicroRNAssoft agar colony formation assaytumorigenicity

Identifiers

PMID35453619
PMCPMC9030546
OpenAlexW4224296567

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.