Evidence map›Paper›PMID 26974972›Full record

ArticlePloS one2016

Enabling Metabolomics Based Biomarker Discovery Studies Using Molecular Phenotyping of Exosome-Like Vesicles.

Tatiana Altadill, Irene Campoy, Lucia Lanau, Kirandeep Gill, Marina Rigau, Antonio Gil-Moreno, Jaume Reventos, Stephen Byers, Eva Colas, Amrita K Cheema

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

  1. Pooled it
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  13. Metabolic features of tumor-derived extracellular vesicles: challenges and opportunities.Extracellular vesicles and circulating nucleic acids · 2024
    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

10 authors at 7 institutions in 2 countries.

Tatiana AltadillBiomedical Research Group in Ginecology, Hospital Universitari Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
Irene CampoyBiomedical Research Group in Ginecology, Hospital Universitari Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
Lucia LanauBiomedical Research Group in Ginecology, Hospital Universitari Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
Kirandeep GillDepartments of Oncology and Biochemistry, Molecular and Cellular Biology, Lombardi Comprehensive Cancer Center at Georgetown University Medical Center, Washington, D.C., United States of America.
Marina RigauInstitut d'Investigació Biomedica de Bellvitge (IDIBELL), Barcelona, Spain.
Antonio Gil-MorenoGynecological Department, Vall Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain.
Jaume ReventosInstitut d'Investigació Biomedica de Bellvitge (IDIBELL), Barcelona, Spain.
Stephen ByersDepartments of Oncology and Biochemistry, Molecular and Cellular Biology, Lombardi Comprehensive Cancer Center at Georgetown University Medical Center, Washington, D.C., United States of America.
Eva ColasBiomedical Research Group in Ginecology, Hospital Universitari Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
Amrita K CheemaDepartments of Oncology and Biochemistry, Molecular and Cellular Biology, Lombardi Comprehensive Cancer Center at Georgetown University Medical Center, Washington, D.C., United States of America.
Institut d'Investigació Biomédica de Bellvitge · ESUniversitat Autònoma de Barcelona · ESVall d'Hebron Institut de Recerca · ESGeorgetown Lombardi Comprehensive Cancer CenterGeorgetown University · USGeorgetown University Medical Center · USUniversitat de Lleida · ES

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
NCI NIH HHS P30 CA051008
6 · The paper itself

Abstract

Identification of sensitive and specific biomarkers with clinical and translational utility will require smart experimental strategies that would augment expanding the breadth and depth of molecular measurements within the constraints of currently available technologies. Exosomes represent an information rich matrix to discern novel disease mechanisms that are thought to contribute to pathologies such as dementia and cancer. Although proteomics and transcriptomic studies have been reported using Exosomes-Like Vesicles (ELVs) from different sources, exosomal metabolome characterization and its modulation in health and disease remains to be elucidated. Here we describe methodologies for UPLC-ESI-MS based small molecule profiling of ELVs from human plasma and cell culture media. In this study, we present evidence that indeed ELVs carry a rich metabolome that could not only augment the discovery of low abundance biomarkers but may also help explain the molecular basis of disease progression. This approach could be easily translated to other studies seeking to develop predictive biomarkers that can subsequently be used with simplified targeted approaches.

Indexed as

BiomarkersCase-Control StudiesCell LineCulture MediaExosomesHumansMetabolomeMetabolomicsMultivariate AnalysisNanoparticlesPhenotypeReproducibility of ResultsTransforming Growth Factor betaBiomarkersCulture MediaTransforming Growth Factor beta

Identifiers

PMID26974972
PMCPMC4790956
OpenAlexW2297065553

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.