Empirically establishing drug exposure records directly from untargeted metabolomics data
Haoqi Nina ZhaoiD, Kine Eide KvitneiD, Corinna BrungsiD, Siddharth MohaniD, Vincent Charron‐LamoureuxiD, Wout BittremieuxiD, Runbang Tang, Robin SchmidiD, Santosh LamichhaneiD, Yasin El AbieadiD, Mohammad Sobhan Sheikh AndalibiiD, Helena Mannochio-RussoiD, Madison AmbreiD, Nicole E. AvaloniD, MacKenzie BryantiD, Andrés Mauricio Caraballo‐RodrígueziD, Martín Casas Maya, Loryn Chin, Ronald J. EllisiD, Donald Franklin, Sagan GirodiD, Paulo Wender Portal GomesiD, Lauren Hansen, Robert K. HeatoniD, Jennifer E. IudicelloiD, , Pieter C. DorresteiniD
Abstract
Despite extensive efforts, extracting information on medication exposure from clinical records remains challenging. To complement this approach, we developed the tandem mass spectrometry (MS/MS) based GNPS Drug Library. This resource integrates MS/MS data for drugs and their metabolites/analogs with controlled vocabularies on exposure sources, pharmacologic classes, therapeutic indications, and mechanisms of action. It enables direct analysis of drug exposure and metabolism from untargeted metabolomics data independent of clinical records. Our library facilitates stratification of individuals in clinical studies based on the empirically detected medications, exemplified by drug-dependent microbiota-derived N-acyl lipid changes in a cohort with human immunodeficiency virus. The GNPS Drug Library holds potential for broader applications in drug discovery and precision medicine.
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