Evidence map›Paper›PMID 42004370›Full record

ArticleACS omega2026

Confident Structural Annotation of Bile Acid Isomers Combining Electron-Activated Dissociation or Ion Mobility with High-Resolution Mass Spectrometry in Metabolomics.

Thomas A Brunet, Rémy De Boni, Justine Massias, Luiz F M Rodrigues, Guillaume Rossignol, Arnaud Salvador, Yohann Clément, Carlos A Sorgi, Sophie Ayciriex

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Thomas A BrunetHospices Civils de Lyon, Service of Hepato-Gastroenterology, Lyon F-69001, France.
Rémy De BoniInstitut des Sciences Analytiques, Univ Lyon, Université Claude Bernard Lyon 1, CNRS UMR 5280, Villeurbanne, France.
Justine MassiasUniversité Claude Bernard Lyon 1 (UCBL), Lyon, France.
Luiz F M RodriguesFaculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP), Universidade de São Paulo (USP), Ribeirão Preto 14040-901, Brazil.
Guillaume RossignolHospices Civils de Lyon, Service of Hepato-Gastroenterology, Lyon F-69001, France.ORCID https://orcid.org/0000-0002-9896-4144
Arnaud SalvadorInstitut des Sciences Analytiques, Univ Lyon, Université Claude Bernard Lyon 1, CNRS UMR 5280, Villeurbanne, France.
Yohann ClémentUniversité Claude Bernard Lyon 1 (UCBL), Lyon, France.ORCID https://orcid.org/0000-0002-9852-2856
Carlos A SorgiInstitut des Sciences Analytiques, Univ Lyon, Université Claude Bernard Lyon 1, CNRS UMR 5280, Villeurbanne, France.
Sophie AyciriexUniversité Claude Bernard Lyon 1 (UCBL), Lyon, France.ORCID https://orcid.org/0000-0003-4813-5900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate identification of lipid isomers remains a major challenge in metabolomics, particularly for bile acids (BAs), whose biological functions critically depend on the number, position, and stereochemistry of hydroxyl groups as well as on the nature of their conjugation. Conventional tandem mass spectrometry (MS/MS) with collision-induced dissociation (CID) often fails to resolve isomeric lipids differing only in subtle structural features, leading to an underestimation of lipidome complexity. Here, we present an analytical framework integrating electron-activated dissociation (EAD) or ion mobility spectrometry (IM) with high-resolution liquid chromatography-mass spectrometry to improve annotation of BA isomers in untargeted metabolomics. EAD provides nonergodic fragmentation that preserves labile bonds and reveals site-specific details, while IM separates ions by their collision cross section (CCS), supplying orthogonal structural information. Using synthetic standards and human plasma extracts, we show that EAD-derived diagnostic ions markedly enhance structural discrimination and enable consistent and reproducible identification of BA isomers compared to CID-only workflows, while CCS measurements alone lack sufficient robustness to reliably distinguish closely related BA isomers across measurements. The integrated data set enables confident assignment of positional and conjugation variants, contributing to a more complete representation of BA diversity. This multidimensional approach offers a robust platform for structural lipidomics and supports the establishment of transferable spectral and mobility libraries to advance metabolome annotation accuracy.

Identifiers

PMID42004370
PMCPMC13084450

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LicenceCC BY-NC-ND
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Registered trials

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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.