Pulse Brain · Growing Health Evidence Index
Peer-reviewed

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

Yunjia Lai, Jeremy P. Koelmel, Douglas G. Walker, Elliott J. Price, Stefano Papazian, Katherine E. Manz, Delia Castilla-Fernández, John A. Bowden, Vladimir Nikiforov, Arthur David, Vincent Bessonneau, Bashar Amer, Suresh 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 Froment, Paweł Rostkowski, Saurabh Dubey, Kateřina Coufalíková, Hana Seličová, Helge Hecht, Sheng Liu, Hanisha Udhani, Sophie Restituito, Kam-Meng Tchou-Wong, Kun Lü, Jonathan W. Martin, Benedikt Warth, Krystal J. Godri Pollitt, Jana Klánová, Oliver Fiehn, Thomas Metz, Kurt D. Pennell, Dean P. Jones, Gary W. Miller

Environmental Science & Technology · 2024

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Summary

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

Source type
Peer-reviewed study
DOI
10.1021/acs.est.4c01156
Catalogue ID
SNmohi6grz-n6ywt2
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