Evidence map›Paper›PMID 33594638›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2021

Comparison of lipidome profiles of Caenorhabditis elegans-results from an inter-laboratory ring trial.

Britta Spanier, Anne Laurençon, Anna Weiser, Nathalie Pujol, Shizue Omi, Aiko Barsch, Ansgar Korf, Sven W Meyer, Jonathan J Ewbank, Francesca Paladino and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Quo VadisMetabolites · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Britta SpanierChair of Metabolic Programming, Technische Universität München, Gregor-Mendel-Straße 2, 85354, Freising, Germany.
Anne LaurençonUMR5242, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique, Université de Lyon, Lyon, France.
Anna WeiserChair of Metabolic Programming, Technische Universität München, Gregor-Mendel-Straße 2, 85354, Freising, Germany.
Nathalie PujolTuring Center for Living Systems, Aix Marseille Univ, CNRS, INSERM, CIML, Marseille, France.
Shizue OmiTuring Center for Living Systems, Aix Marseille Univ, CNRS, INSERM, CIML, Marseille, France.
Aiko BarschBruker Daltonics, Fahrenheitstr. 4, 28359, Bremen, Germany.
Ansgar KorfBruker Daltonics, Fahrenheitstr. 4, 28359, Bremen, Germany.
Sven W MeyerBruker Daltonics, Fahrenheitstr. 4, 28359, Bremen, Germany.
Jonathan J EwbankTuring Center for Living Systems, Aix Marseille Univ, CNRS, INSERM, CIML, Marseille, France.
Francesca PaladinoLaboratoire de Biologie Moléculaire de la Cellule UMR5239 CNRS/ENS Lyon/UCBL/HCL Ecole Normale Supérieure de Lyon 46, allée d'Italie, 69364, Lyon cedex 07, France.
Steve GarvisLaboratoire de Biologie Moléculaire de la Cellule UMR5239 CNRS/ENS Lyon/UCBL/HCL Ecole Normale Supérieure de Lyon 46, allée d'Italie, 69364, Lyon cedex 07, France.
Hugo AguilaniuUMR5242, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique, Université de Lyon, Lyon, France.
Michael WittingResearch Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany. michael.witting@helmholtz-muenchen.de.ORCID http://orcid.org/0000-0002-1462-4426

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
NIH HHS P40 OD010440
6 · The paper itself

Abstract

introductionLipidomic profiling allows 100s if not 1000s of lipids in a sample to be detected and quantified. Modern lipidomics techniques are ultra-sensitive assays that enable the discovery of novel biomarkers in a variety of fields and provide new insight in mechanistic investigations. Despite much progress in lipidomics, there remains, as for all high throughput "omics" strategies, the need to develop strategies to standardize and integrate quality control into studies in order to enhance robustness, reproducibility, and usability of studies within specific fields and beyond.

objectivesWe aimed to understand how much results from lipid profiling in the model organism Caenorhabditis elegans are influenced by different culture conditions in different laboratories.

methodsIn this work we have undertaken an inter-laboratory study, comparing the lipid profiles of N2 wild type C. elegans and daf-2(e1370) mutants lacking a functional insulin receptor. Sample were collected from worms grown in four separate laboratories under standardized growth conditions. We used an UPLC-UHR-ToF-MS system allowing chromatographic separation before MS analysis.

resultsWe found common qualitative changes in several marker lipids in samples from the individual laboratories. On the other hand, even in this controlled experimental system, the exact fold-changes for each marker varied between laboratories.

conclusionOur results thus reveal a serious limitation to the reproducibility of current lipid profiling experiments and reveal challenges to the integration of such data from different laboratories.

Indexed as

AnimalsAntigens, CDBiomarkersCaenorhabditis elegansLaboratoriesLipidomicsLipidsReceptor, InsulinReproducibility of ResultsAntigens, CDBiomarkersINSR protein, humanLipidsReceptor, InsulinCaenorhabditis elegansLaboratory comparisonLipidomicsLipid profilingUHPLC-QToF-MS

Identifiers

PMID33594638
PMCPMC7886748

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.