Evidence map›Paper›PMID 37055761›Full record

ReviewCell communication and signaling : CCS2023

A review of the regulatory mechanisms of extracellular vesicles-mediated intercellular communication.

Ya-Juan Liu, Cheng Wang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cell communication and signaling : CCS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 231 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
231citing papers in PubMed, 3 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

231 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  8. Investigating Dietary microRNA Stability and Function Using a Transgenic Milk Model With Unique microRNA Sequences.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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171 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.

Ya-Juan LiuKey Laboratory of Molecular Target and Clinical Pharmacology, The NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences and the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, 511436, China.
Cheng WangSmurfit Institute of Genetics, Trinity College Dublin, Dublin, D02 VF25, Ireland. wangc4@tcd.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are small, membrane-bound structures that are released from cells into the surrounding environment. These structures can be categorized as exosomes, microvesicles, or apoptotic vesicles, and they play an essential role in intercellular communication. These vesicles are attracting significant clinical interest as they offer the potential for drug delivery, disease diagnosis, and therapeutic intervention. To fully understand the regulation of intercellular communication through EVs, it is essential to investigate the underlying mechanisms. This review aims to provide a summary of the current knowledge on the intercellular communications involved in EV targeting, binding, and uptake, as well as the factors that influence these interactions. These factors include the properties of the EVs, the cellular environment, and the recipient cell. As the field of EV-related intercellular communication continues to expand and techniques improve, we can expect to uncover more information about this complex area, despite the current limitations in our knowledge.

Indexed as

Cell-Derived MicroparticlesExosomesExtracellular VesiclesBiological TransportCell CommunicationEV biogenesisEV uptakeExosomeExtracellular vesicleIntercellular communication

Identifiers

PMID37055761
PMCPMC10100201

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.