Evidence map›Paper›PMID 34053166›Full record

ReviewTraffic (Copenhagen, Denmark)2021

The role of lipids in exosome biology and intercellular communication: Function, analytics and applications.

Javier Donoso-Quezada, Sergio Ayala-Mar, José González-Valdez

Abstract readReview
In one paragraph

Review in Traffic (Copenhagen, Denmark), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing 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

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

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132 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

3 authors.

Javier Donoso-QuezadaTecnologico de Monterrey, School of Engineering and Science, Monterrey, Nuevo León, Mexico.ORCID 0000-0003-2225-3116
Sergio Ayala-MarTecnologico de Monterrey, School of Engineering and Science, Monterrey, Nuevo León, Mexico.
José González-ValdezTecnologico de Monterrey, School of Engineering and Science, Monterrey, Nuevo León, Mexico.ORCID 0000-0001-6734-8245

Funding

National Council on Science and Technology of Mexico 850524National Council on Science and Technology of Mexico 995384School of Engineering and Science and the FEMSA-Biotechnology Center 0020209I13
6 · The paper itself

Abstract

Exosomes are extracellular vesicles that in recent years have received special attention for their regulatory functions in numerous biological processes. Recent evidence suggests a correlation between the composition of exosomes in body fluids and the progression of some disorders, such as cancer, diabetes and neurodegenerative diseases. In consequence, numerous studies have been performed to evaluate the composition of these vesicles, aiming to develop new biomarkers for diagnosis and to find novel therapeutic targets. On their part, lipids represent one of the most important components of exosomes, with important structural and regulatory functions during exosome biogenesis, release, targeting and cellular uptake. Therefore, exosome lipidomics has emerged as an innovative discipline for the discovery of novel lipid species with biomedical applications. This review summarizes the current knowledge about exosome lipids and their roles in exosome biology and intercellular communication. Furthermore, it presents the state-of-the-art analytical procedures used in exosome lipidomics while emphasizing how this emerging discipline is providing new insights for future applications of exosome lipids in biomedicine.

Indexed as

ExosomesNeurodegenerative DiseasesBiologyCell CommunicationHumansLipidsLipidsexosome lipidsextracellular vesicleslipid biomarkerslipidomicslipid trafficking

Identifiers

PMID34053166
PMCPMC8361711

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.