Articles producció científicaEnginyeria Electrònica, Elèctrica i Automàtica

A Perspective on Unintentional Fragments and Their Impact on the Dark Metabolome, Untargeted Profiling, Molecular Networking, Public Data, and Repository Scale Analysis

  • Identification data

    Identifier:  imarina:9470502
    Authors:  El Abiead, Y; Mohanty, I; Xing, SP; Rutz, A; Charron-Lamoureux, V; Damiani, T; Lu, WY; Patti, GJ; Zamboni, N; Yanes, O; Dorrestein, PC
    Abstract:
    In/postsource fragments (ISFs) arise during electrospray ionization or ion transfer in mass spectrometry when molecular bonds break, generating ions that can complicate data interpretation. Although ISFs have been recognized for decades, their contribution to untargeted metabolomics-particularly in the context of the so-called "dark matter" (unannotated MS or MS/MS spectra) and the "dark metabolome" (unannotated molecules)-remains unsettled. This ongoing debate reflects a central tension: while some caution against overinterpreting unidentified signals lacking biological evidence, others argue that dismissing them too quickly risks overlooking genuine molecular discoveries. These discussions also raise a deeper question: what exactly should be considered part of the metabolome? As metabolomics advances toward large-scale data mining and high-throughput computational analysis, resolving these conceptual and methodological ambiguities has become essential. In this perspective, we propose a refined definition of the "dark metabolome" and present a systematic overview of ISFs and related ion forms, including adducts and multimers. We examine their impact on metabolite annotation, experimental design, statistical analysis, computational workflows, and repository-scale data mining. Finally, we provide practical recommendations-including a set of dos and do nots for researchers and reviewers-and discuss the broader implications of ISFs for how the field explores unknown molecular space. By embracing a more nuanced understanding of ISFs, metabolomics can achieve greater rigor, reduce misinterpretation, and unlock new opportunities for discovery.
  • Others:

    Link to the original source: https://pubs.acs.org/doi/10.1021/jacsau.5c01063
    APA: El Abiead, Y; Mohanty, I; Xing, SP; Rutz, A; Charron-Lamoureux, V; Damiani, T; Lu, WY; Patti, GJ; Zamboni, N; Yanes, O; Dorrestein, PC (2025). A Perspective on Unintentional Fragments and Their Impact on the Dark Metabolome, Untargeted Profiling, Molecular Networking, Public Data, and Repository Scale Analysis. Jacs Au, 5(12), 5828-5850. DOI: 10.1021/jacsau.5c01063
    Paper original source: Jacs Au. 5 (12): 5828-5850
    Article's DOI: 10.1021/jacsau.5c01063
    Journal publication year: 2025-12-22
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2026-02-13
    URV's Author/s: Yanes Torrado, Óscar
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: El Abiead, Y; Mohanty, I; Xing, SP; Rutz, A; Charron-Lamoureux, V; Damiani, T; Lu, WY; Patti, GJ; Zamboni, N; Yanes, O; Dorrestein, PC
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Analytical chemistry, Chemistry (miscellaneous), Chemistry, multidisciplinary, Organic chemistry, Physical and theoretical chemistry
    Author's mail: oscar.yanes@urv.cat
  • Keywords:

    Analytical artifact
    Annotation
    Dark metabolome
    Discovery
    Electrospray ionization
    Enzyme promiscuity
    Human gut
    Identification
    In-source fragmentation
    Mass spectrometry
    Mass-spectrometry data
    Metabolomics
    Nonenzymatic glycation
    Products
    Spectral data
    Analytical Chemistry
    Chemistry (Miscellaneous)
    Chemistry
    Multidisciplinary
    Organic Chemistry
    Physical and Theoretical Chemistry
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