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

dc.contributor.authorZhao, Haoqi Nina
dc.contributor.authorKvitne, Kine Eide
dc.contributor.authorBrungs, Corinna
dc.contributor.authorMohan, Siddharth
dc.contributor.authorCharron-Lamoureux, Vincent
dc.contributor.authorBittremieux, Wout
dc.contributor.authorTang, Runbang
dc.contributor.authorSchmid, Robin
dc.contributor.authorLamichhane, Santosh
dc.contributor.authorXing, Shipei
dc.contributor.authorEl Abiead, Yasin
dc.contributor.authorAndalibi, Mohammadsobhan S.
dc.contributor.authorMannochio-Russo, Helena
dc.contributor.authorAmbre, Madison
dc.contributor.authorAvalon, Nicole E.
dc.contributor.authorBryant, MacKenzie
dc.contributor.authorBurnett, Lindsey A.
dc.contributor.authorCaraballo-Rodríguez, Andrés Mauricio
dc.contributor.authorMaya, Martin Casas
dc.contributor.authorChin, Loryn
dc.contributor.authorCorominas, Lluís
dc.contributor.authorEllis, Ronald J.
dc.contributor.authorFranklin, Donald
dc.contributor.authorGirod, Sagan
dc.contributor.authorGomes
dc.contributor.authorPaulo Wender
dc.contributor.authorP.
dc.contributor.authorHansen, Lauren
dc.contributor.authorHeaton, Robert K.
dc.contributor.authorIudicello, Jennifer E.
dc.contributor.authorJarmusch, Alan K.
dc.contributor.authorKhatib, Lora
dc.contributor.authorLetendre, Scott
dc.contributor.authorMagyari, Sarolt
dc.contributor.authorMcDonald, Daniel
dc.contributor.authorMohanty, Ipsita
dc.contributor.authorCumsille, Andrés
dc.contributor.authorMoore, David J.
dc.contributor.authorRajkumar, Prajit
dc.contributor.authorRoss, Dylan H.
dc.contributor.authorSapre, Harshada
dc.contributor.authorShahneh
dc.contributor.authorMohammad Reza Zare
dc.contributor.authorGil-Solsona, Ruben
dc.contributor.authorThomas, Sydney P.
dc.contributor.authorTribelhorn, Caitlin
dc.contributor.authorTubb, Helena M.
dc.contributor.authorWalker, Corinn
dc.contributor.authorWang, Crystal X.
dc.contributor.authorZemlin, Jasmine
dc.contributor.authorZuffa, Simone
dc.contributor.authorWishart, David S.
dc.contributor.authorGago-Ferrero, Pablo
dc.contributor.authorKaddurah-Daouk, Rima
dc.contributor.authorWang, Mingxun
dc.contributor.authorRaffatellu, Manuela
dc.contributor.authorZengler, Karsten
dc.contributor.authorPluskal, Tomáš
dc.contributor.authorXu, Libin
dc.contributor.authorKnight, Rob
dc.contributor.authorTsunoda, Shirley M.
dc.contributor.authorDorrestein, Pieter C.
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id505914742
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/505914742
dc.date.accessioned2026-01-21T14:52:30Z
dc.date.available2026-01-21T14:52:30Z
dc.description.abstract<p>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 <em>N</em>-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.<br></p>
dc.identifier.eissn2041-1723
dc.identifier.olddbid213822
dc.identifier.oldhandle10024/196840
dc.identifier.urihttps://www.utupub.fi/handle/11111/55968
dc.identifier.urlhttps://doi.org/10.1038/s41467-025-65993-5
dc.identifier.urnURN:NBN:fi-fe202601217060
dc.language.isoen
dc.okm.affiliatedauthorLamichhane, Santosh
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherSpringer Nature
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumber10600
dc.relation.doi10.1038/s41467-025-65993-5
dc.relation.ispartofjournalNature Communications
dc.relation.volume16
dc.source.identifierhttps://www.utupub.fi/handle/10024/196840
dc.titleA resource to empirically establish drug exposure records directly from untargeted metabolomics data
dc.year.issued2025

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