Evidence map›Paper›PMID 24747303›Full record

ArticleJournal of proteomics2014

Quantitative proteomic analysis of hepatocyte-secreted extracellular vesicles reveals candidate markers for liver toxicity.

Eva Rodríguez-Suárez, Esperanza Gonzalez, Chris Hughes, Javier Conde-Vancells, Andrea Rudella, Felix Royo, Laura Palomo, Felix Elortza, Shelly C Lu, Jose M Mato and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
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  8. Observational
  9. Review
  10. Role of Extracellular Vesicles in Liver Diseases.Life (Basel, Switzerland) · 2023
    Review
  11. Extracellular vesicles as mediators and markers of acute organ injury: current concepts.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022
    Review
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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

12 authors at 5 institutions in 2 countries.

Eva Rodríguez-SuárezProteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Derio, Spain.
Esperanza GonzalezMetabolomics Unit, CIC bioGUNE, CIBERehd, Derio, Spain.
Chris HughesWaters Corporation, MS Technologies Center, Manchester, United Kingdom.
Javier Conde-VancellsMetabolomics Unit, CIC bioGUNE, CIBERehd, Derio, Spain.
Andrea RudellaWaters Corporation, Milan, Italy.
Felix RoyoMetabolomics Unit, CIC bioGUNE, CIBERehd, Derio, Spain.
Laura PalomoMetabolomics Unit, CIC bioGUNE, CIBERehd, Derio, Spain.
Felix ElortzaProteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Derio, Spain.
Shelly C LuUSC Research Center for Liver Diseases, Division of Gastrointestinal and Liver Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Jose M MatoMetabolomics Unit, CIC bioGUNE, CIBERehd, Derio, Spain.
Johannes P C VissersWaters Corporation, MS Technologies Center, Manchester, United Kingdom.
Juan M Falcón-PérezMetabolomics Unit, CIC bioGUNE, CIBERehd, Derio, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain. Electronic address: jfalcon@cicbiogune.es.
CIC bioGUNE · ESCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas · ESWaters (United States) · USCentro de Investigación Biomédica en Red · ESUniversity of Southern California · US

Funding

Role of MAT and SAMe in Colon Cancer Pathogenesis and TreatmentR01AT004896 · NCCIH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LU, SHELLY CHI-LOO · 2008 to 2012
$2.0M
NCCIH NIH HHS R01 AT004896
6 · The paper itself

Abstract

Extracellular vesicles have created great interest as possible source of biomarkers for different biological processes and diseases. Although the biological function of these vesicles is not fully understood, it is clear that they participate in the removal of unnecessary cellular material and act as carriers of various macromolecules and signals between the cells. In this report, we analyzed the proteome of extracellular vesicles secreted by primary hepatocytes. We used one- and two-dimensional liquid chromatography combined with data-independent mass spectrometry. Employing label-free quantitative proteomics, we detected significant changes in vesicle protein expression levels in this in vitro model after exposure to well-known liver toxins (galactosamine and Escherichia coli-derived lipopolysaccharide). The results allowed us to identify candidate markers for liver injury. We validated a number of these markers in vivo, providing the basis for the development of novel methods to evaluate drug toxicity. This report strongly supports the application of proteomics in the study of extracellular vesicles released by well-controlled in vitro cellular systems. Analysis of such systems should help to identify specific markers for various biological processes and pathological conditions. BIOLOGICAL SIGNIFICANCE: Identification of low invasive candidate marker for hepatotoxicity. Support to apply proteomics in the study of extracellular vesicles released by well-controlled in vitro cellular systems to identify low invasive markers for diseases.

Indexed as

AnimalsBiomarkersChemical and Drug Induced Liver InjuryExosomesGalactosamineHepatocytesLipopolysaccharidesLiverMaleMass SpectrometryProteomicsRats, Sprague-DawleySecretory VesiclesBiomarkersGalactosamineLipopolysaccharidesExosomesHepatocytesLabel-free quantitationLC–MSLiverMicrovesicles

Identifiers

PMID24747303
PMCPMC5119459
OpenAlexW1969264414

What OpenQuestion holds

Textmetadata
LicenceTDM
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.