Evidence map›Paper›PMID 30872567›Full record

ReviewExperimental & molecular medicine2019

Systems biology approaches to investigating the roles of extracellular vesicles in human diseases.

András Gézsi, Árpád Kovács, Tamás Visnovitz, Edit I Buzás

Open access · goldAbstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
3.0field-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

42 citing papers in PubMed, 56 citations in OpenAlex.

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  10. Extracellular vesicles for developing targeted hearing loss therapy.Journal of controlled release : official journal of the Controlled Release Society · 2024
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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

4 authors at 2 institutions in 1 country.

András GézsiDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
Árpád KovácsDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
Tamás VisnovitzDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
Edit I BuzásDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary. buzas.edit@med.semmelweis-univ.hu.
Semmelweis University · HUBudapest University of Technology and Economics · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are membrane-enclosed structures secreted by cells. In the past decade, EVs have attracted substantial attention as carriers of complex intercellular information. They have been implicated in a wide variety of biological processes in health and disease. They are also considered to hold promise for future diagnostics and therapy. EVs are characterized by a previously underappreciated heterogeneity. The heterogeneity and molecular complexity of EVs necessitates high-throughput analytical platforms for detailed analysis. Recently, mass spectrometry, next-generation sequencing and bioinformatics tools have enabled detailed proteomic, transcriptomic, glycomic, lipidomic, metabolomic, and genomic analyses of EVs. Here, we provide an overview of systems biology experiments performed in the field of EVs. Furthermore, we provide examples of how in silico systems biology approaches can be used to identify correlations between genes involved in EV biogenesis and human diseases. Using a knowledge fusion system, we investigated whether certain groups of proteins implicated in the biogenesis/release of EVs were associated with diseases and phenotypes. Furthermore, we investigated whether these proteins were enriched in publicly available transcriptomic datasets using gene set enrichment analysis methods. We found associations between key EV biogenesis proteins and numerous diseases, which further emphasizes the key role of EVs in human health and disease.

Indexed as

AnimalsExtracellular VesiclesGenomicsGlycomicsHumansMetabolomicsProteinsSystems BiologyTranscriptomeProteins

Identifiers

PMID30872567
PMCPMC6418293
OpenAlexW2922442446

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.