Evidence map›Paper›PMID 36232613›Full record

ReviewInternational journal of molecular sciences2022

Tracking of Extracellular Vesicles' Biodistribution: New Methods and Approaches.

Alexander M Aimaletdinov, Marina O Gomzikova

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 pooled it
–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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Does extracellular vesicle specificity truly exist?Cell communication and signaling : CCS · 2026
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1 more citing papers are in PubMed but not listed here.

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.

Alexander M AimaletdinovLaboratory of Intercellular Communication, Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.
Marina O GomzikovaLaboratory of Intercellular Communication, Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.

Funding

Russian Science Foundation 21-75-10035
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are nanosized lipid bilayer vesicles that are released by almost all cell types. They range in diameter from 30 nm to several micrometres and have the ability to carry biologically active molecules such as proteins, lipids, RNA, and DNA. EVs are natural vectors and play an important role in many physiological and pathological processes. The amount and composition of EVs in human biological fluids serve as biomarkers and are used for diagnosing diseases and monitoring the effectiveness of treatment. EVs are promising for use as therapeutic agents and as natural vectors for drug delivery. However, the successful use of EVs in clinical practice requires an understanding of their biodistribution in an organism. Numerous studies conducted so far on the biodistribution of EVs show that, after intravenous administration, EVs are mostly localized in organs rich in blood vessels and organs associated with the reticuloendothelial system, such as the liver, lungs, spleen, and kidneys. In order to improve resolution, new dyes and labels are being developed and detection methods are being optimized. In this work, we review all available modern methods and approaches used to assess the biodistribution of EVs, as well as discuss their advantages and limitations.

Indexed as

Extracellular VesiclesLipid BilayersBiomarkersColoring AgentsHumansRNATissue DistributionBiomarkersColoring AgentsLipid BilayersRNAbiodistributionbioluminescencecomputed tomographyexosomesextracellular vesiclesfluorescencemagnetic resonance imagingmicrovesiclespositron emission tomographysingle photon emission computed tomography

Identifiers

PMID36232613
PMCPMC9569979

What OpenQuestion holds

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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.