Evidence map›Paper›PMID 31718094›Full record

ReviewMetabolites2019

Metabolomics Applied to the Study of Extracellular Vesicles.

Charles Williams, Mari Palviainen, Niels-Christian Reichardt, Pia R-M Siljander, Juan M Falcón-Pérez

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. A Plasma Exosomal Metabolic Profiling of Nonalcoholic Fatty Liver Disease Patients Complicated with Impaired Fasting Glucose.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024
    Article
  20. Metabolic features of tumor-derived extracellular vesicles: challenges and opportunities.Extracellular vesicles and circulating nucleic acids · 2024
    Review
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

5 authors at 3 institutions in 2 countries.

Charles WilliamsExosomes Laboratory, CIC bioGUNE, Bizkaia Technology Park, 48160 Derio, Spain.ORCID 0000-0001-7781-8693
Mari PalviainenEV group, Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, and CURED, Drug Research Program, Faculty of Pharmacy, Division of Pharmaceutical Biosciences, University of Helsinki, Viikinkaari 9, 00790 Helsinki, Finland.ORCID 0000-0002-7105-3543
Niels-Christian ReichardtGlycotechnology Laboratory, CIC biomaGUNE, Paseo Miramón 182, 20014 San Sebastián, Spain.
Pia R-M SiljanderEV group, Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, and CURED, Drug Research Program, Faculty of Pharmacy, Division of Pharmaceutical Biosciences, University of Helsinki, Viikinkaari 9, 00790 Helsinki, Finland.ORCID 0000-0003-2326-5821
Juan M Falcón-PérezExosomes Laboratory, CIC bioGUNE, Bizkaia Technology Park, 48160 Derio, Spain.ORCID 0000-0003-3133-0670
CIC biomaGUNE · ESUniversity of Helsinki · FIIkerbasque · ES

Funding

Academy of Finland 1315227Academy of Finland 287089Health Basque Government 2015111149Magnus Ehrnroothin Säätiö XXXMaria de Maeztu Units of Excellence Program from the Spanish State Research Agency MDM-2017-0720Medicinska Understödsföreningen Liv och Hälsa XXXMinisterio de Economía, Industria y Competitividad, Gobierno de España CTQ2017-90039-RMinisterio de Economía, Industria y Competitividad, Gobierno de España RTI2018-094969-B-I00Ministerio de Economía, Industria y Competitividad, Gobierno de España SAF2015-66312Ramón Areces Foundation XXXREDIEX XXXSevero Ochoa Excellence Accreditation SEV-2016-0644
6 · The paper itself

Abstract

Cell-secreted extracellular vesicles (EVs) have rapidly gained prominence as sources of biomarkers for non-invasive biopsies, owing to their ubiquity across human biofluids and physiological stability. There are many characterisation studies directed towards their protein, nucleic acid, lipid and glycan content, but more recently the metabolomic analysis of EV content has also gained traction. Several EV metabolite biomarker candidates have been identified across a range of diseases, including liver disease and cancers of the prostate and pancreas. Beyond clinical applications, metabolomics has also elucidated possible mechanisms of action underlying EV function, such as the arginase-mediated relaxation of pulmonary arteries or the delivery of nutrients to tumours by vesicles. However, whilst the value of EV metabolomics is clear, there are challenges inherent to working with these entities-particularly in relation to sample production and preparation. The biomolecular composition of EVs is known to change drastically depending on the isolation method used, and recent evidence has demonstrated that changes in cell culture systems impact upon the metabolome of the resulting EVs. This review aims to collect recent advances in the EV metabolomics field whilst also introducing researchers interested in this area to practical pitfalls in applying metabolomics to EV studies.

Indexed as

biomarkersdiagnosticsexosomesextracellular vesiclesmetabolic pathwaysmicrovesicles

Identifiers

PMID31718094
PMCPMC6918219
OpenAlexW2987547927

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.