Evidence map›Paper›PMID 38492024›Full record

ArticleAnalytical and bioanalytical chemistry2024

Electron-activated dissociation (EAD) for the complementary annotation of metabolites and lipids through data-dependent acquisition analysis and feature-based molecular networking, applied to the sentinel amphipod Gammarus fossarum.

Valentina Calabrese, Thomas Alexandre Brunet, Davide Degli-Esposti, Arnaud Chaumot, Olivier Geffard, Arnaud Salvador, Yohann Clément, Sophie Ayciriex

Open access · bronzeAbstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Valentina CalabreseUniversite Claude Bernard Lyon1, ISA, UMR 5280, CNRS, 5 Rue de La Doua, 69100, Villeurbanne, France. valentina.calabrese@univ-lyon1.fr.ORCID http://orcid.org/0000-0003-0665-0074
Thomas Alexandre BrunetUniversite Claude Bernard Lyon1, ISA, UMR 5280, CNRS, 5 Rue de La Doua, 69100, Villeurbanne, France.ORCID http://orcid.org/0000-0003-2888-3098
Davide Degli-EspostiLaboratoire d'écotoxicologie, INRAE, UR RiverLy, 69625, Villeurbanne, France.ORCID http://orcid.org/0000-0003-1390-4845
Arnaud ChaumotLaboratoire d'écotoxicologie, INRAE, UR RiverLy, 69625, Villeurbanne, France.ORCID http://orcid.org/0000-0001-9132-3419
Olivier GeffardLaboratoire d'écotoxicologie, INRAE, UR RiverLy, 69625, Villeurbanne, France.ORCID http://orcid.org/0000-0001-7760-4644
Arnaud SalvadorUniversite Claude Bernard Lyon1, ISA, UMR 5280, CNRS, 5 Rue de La Doua, 69100, Villeurbanne, France.ORCID http://orcid.org/0000-0002-5981-3028
Yohann ClémentUniversite Claude Bernard Lyon1, ISA, UMR 5280, CNRS, 5 Rue de La Doua, 69100, Villeurbanne, France.ORCID http://orcid.org/0000-0002-9852-2856
Sophie AyciriexUniversite Claude Bernard Lyon1, ISA, UMR 5280, CNRS, 5 Rue de La Doua, 69100, Villeurbanne, France. sophie.ayciriex@univ-lyon1.fr.ORCID http://orcid.org/0000-0003-4813-5900
Université Claude Bernard Lyon 1 · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FR

Funding

Agence Nationale de la Recherche ANR-17-EURE-0018Agence Nationale de la Recherche ANR-18-CE34-0008
6 · The paper itself

Abstract

The past decades have marked the rise of metabolomics and lipidomics as the -omics sciences which reflect the most phenotypes in living systems. Mass spectrometry-based approaches are acknowledged for both quantification and identification of molecular signatures, the latter relying primarily on fragmentation spectra interpretation. However, the high structural diversity of biological small molecules poses a considerable challenge in compound annotation. Feature-based molecular networking (FBMN) combined with database searches currently sets the gold standard for annotation of large datasets. Nevertheless, FBMN is usually based on collision-induced dissociation (CID) data, which may lead to unsatisfying information. The use of alternative fragmentation methods, such as electron-activated dissociation (EAD), is undergoing a re-evaluation for the annotation of small molecules, as it gives access to additional fragmentation routes. In this study, we apply the performances of data-dependent acquisition mass spectrometry (DDA-MS) under CID and EAD fragmentation along with FBMN construction, to perform extensive compound annotation in the crude extracts of the freshwater sentinel organism Gammarus fossarum. We discuss the analytical aspects of the use of the two fragmentation modes, perform a general comparison of the information delivered, and compare the CID and EAD fragmentation pathways for specific classes of compounds, including previously unstudied species. In addition, we discuss the potential use of FBMN constructed with EAD fragmentation spectra to improve lipid annotation, compared to the classic CID-based networks. Our approach has enabled higher confidence annotations and finer structure characterization of 823 features, including both metabolites and lipids detected in G. fossarum extracts.

Indexed as

AmphipodaLipidsMetabolomicsAnimalsElectronsLipidomicsMass SpectrometrySentinel SpeciesLipidsCompound annotationDDA-MSEADLipidomicsMetabolomicsMolecular networking

Identifiers

PMID38492024
OpenAlexW4392883139

What OpenQuestion holds

Textmetadata
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.