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DOI 10.1038/s41467-025-65993-5

Медицинская библиотека · Nature communications · 2025

A resource to empirically establish drug exposure records directly from untargeted metabolomics data.

Zhao Haoqi Nina, Kvitne Kine Eide, Brungs Corinna, Mohan Siddharth, Charron-Lamoureux Vincent, Bittremieux Wout, Tang Runbang, Schmid Robin, Lamichhane Santosh, Xing Shipei, El Abiead Yasin, Andalibi Mohammadsobhan S, Mannochio-Russo Helena, Ambre Madison, Avalon Nicole E, Bryant MacKenzie, Burnett Lindsey A, Caraballo-Rodríguez Andrés Mauricio, Maya Martin Casas, Chin Loryn, Corominas Lluís, Ellis Ronald J, Franklin Donald, Girod Sagan, Gomes Paulo Wender P, Hansen Lauren, Heaton Robert K, Iudicello Jennifer E, Jarmusch Alan K, Khatib Lora, Letendre Scott, Magyari Sarolt, McDonald Daniel, Mohanty Ipsita, Cumsille Andrés, Moore David J, Rajkumar Prajit, Ross Dylan H, Sapre Harshada, Shahneh Mohammad Reza Zare, Gil-Solsona Ruben, Thomas Sydney P, Tribelhorn Caitlin, Tubb Helena M, Walker Corinn, Wang Crystal X, Zemlin Jasmine, Zuffa Simone, Wishart David S, Gago-Ferrero Pablo, Kaddurah-Daouk Rima, Wang Mingxun, Raffatellu Manuela, Zengler Karsten, Pluskal Tomáš, Xu Libin, Knight Rob, Tsunoda Shirley M, Dorrestein Pieter C

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Аннотация

Despite extensive efforts, extracting medication exposure information from clinical records remains challenging. To complement this approach, here we show the Global Natural Product Social Molecular Networking (GNPS) Drug Library, a tandem mass spectrometry (MS/MS) based resource designed for drug screening with untargeted metabolomics. This resource integrates MS/MS references of drugs and their metabolites/analogs with standardized vocabularies on their exposure sources, pharmacologic classes, therapeutic indications, and mechanisms of action. It enables direct analysis of drug exposure and metabolism from untargeted metabolomics data, supporting flexible summarization at multiple ontology levels to align with different research goals. We demonstrate its application by stratifying participants in a human immunodeficiency virus (HIV) cohort based on detected drug exposures. We uncover drug-associated alterations in microbiota-derived N-acyl lipids that are not captured when stratifying by self-reported medication use. Overall, GNPS Drug Library provides a scalable resource for empirical drug screening in clinical, nutritional, environmental, and other research disciplines, facilitating insights into the ecological and health consequences of drug exposures. While not intended for immediate clinical decision-making, it supports data-driven exploration of drug exposures where traditional records are limited or unreliable.

Для цитирования: Zhao Haoqi Nina, Kvitne Kine Eide, Brungs Corinna, Mohan Siddharth, Charron-Lamoureux Vincent, Bittremieux Wout, Tang Runbang, Schmid Robin, Lamichhane Santosh, Xing Shipei, El Abiead Yasin, Andalibi Mohammadsobhan S, Mannochio-Russo Helena, Ambre Madison, Avalon Nicole E, Bryant MacKenzie, Burnett Lindsey A, Caraballo-Rodríguez Andrés Mauricio, Maya Martin Casas, Chin Loryn, Corominas Lluís, Ellis Ronald J, Franklin Donald, Girod Sagan, Gomes Paulo Wender P, Hansen Lauren, Heaton Robert K, Iudicello Jennifer E, Jarmusch Alan K, Khatib Lora, Letendre Scott, Magyari Sarolt, McDonald Daniel, Mohanty Ipsita, Cumsille Andrés, Moore David J, Rajkumar Prajit, Ross Dylan H, Sapre Harshada, Shahneh Mohammad Reza Zare, Gil-Solsona Ruben, Thomas Sydney P, Tribelhorn Caitlin, Tubb Helena M, Walker Corinn, Wang Crystal X, Zemlin Jasmine, Zuffa Simone, Wishart David S, Gago-Ferrero Pablo, Kaddurah-Daouk Rima, Wang Mingxun, Raffatellu Manuela, Zengler Karsten, Pluskal Tomáš, Xu Libin, Knight Rob, Tsunoda Shirley M, Dorrestein Pieter C. A resource to empirically establish drug exposure records directly from untargeted metabolomics data.. Nature communications. 2025. DOI: 10.1038/s41467-025-65993-5.

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