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Vitenskapelig tidsskriftpublikasjon

High-Resolution Mass Spectrometry for Human Exposomics: Expanding Chemical Space Coverage

Yunjia Lai, Jeremy P. Koelmel, Douglas I Walker, Elliott J. Price, Stefano Papazian, Katherine E. Manz, Delia Castilla-Fernández, John A. Bowden, Vladimir Nikiforov, Arthur David, Vincent Bessonneau, Bashar Amer, Suresch Seethapathy, Xin Hu, Elizabeth Z. Lin, Akrem Jbebli, Brooklynn R. McNeil, Dinesh Kumar Barupal, Marina Cerasa, Hongyu Xie, Vrinda Kalia, Renu Nandakumar, Randolph R. Singh, Zhenyu Tian, Peng Gao, Yujia Zhao, Jean Francois Froment, Pawel Rostkowski, Saurabh Dubey, Kateřina Coufalíková, Hana Seličová, Helge Hecht, Sheng Liu, Hanisha H. Udhani, Sophie Restituito, Kam-Meng Tchou-Wong, Kun Lu, Jonathan W. Martin, Benedikt Warth, Krystal J. Godri Pollitt, Jana Klánová, Oliver Fiehn, Thomas O. Metz, Kurt D. Pennell, Dean P. Jones

Publikasjonsdetaljer

Tidsskrift: Environmental Science and Technology, vol. 58, no. 29, p. 12784-12822, 2024

Dato: 21. juni 2026

Sammendrag:

In the modern “omics” era, measurement of the human exposome is a critical missing link between genetic drivers and disease outcomes. High-resolution mass spectrometry (HRMS), routinely used in proteomics and metabolomics, has emerged as a leading technology to broadly profile chemical exposure agents and related biomolecules for accurate mass measurement, high sensitivity, rapid data acquisition, and increased resolution of chemical space. Non-targeted approaches are increasingly accessible, supporting a shift from conventional hypothesis-driven, quantitation-centric targeted analyses toward data-driven, hypothesis-generating chemical exposome-wide profiling. However, HRMS-based exposomics encounters unique challenges. New analytical and computational infrastructures are needed to expand the analysis coverage through streamlined, scalable, and harmonized workflows and data pipelines that permit longitudinal chemical exposome tracking, retrospective validation, and multi-omics integration for meaningful health-oriented inferences. In this article, we survey the literature on state-of-the-art HRMS-based technologies, review current analytical workflows and informatic pipelines, and provide an up-to-date reference on exposomic approaches for chemists, toxicologists, epidemiologists, care providers, and stakeholders in health sciences and medicine. We propose efforts to benchmark fit-for-purpose platforms for expanding coverage of chemical space, including gas/liquid chromatography–HRMS (GC-HRMS and LC-HRMS), and discuss opportunities, challenges, and strategies to advance the burgeoning field of the exposome.

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