ArticleNature communications2025
A resource to empirically establish drug exposure records directly from untargeted metabolomics data.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Environmental Contaminants in Surface Snow Samples Made from Reclaimed Water at a Ski Resort: A Mass Spectrometry Analysis.ACS environmental Au · 2026Article
- Antibiotic Exposure Through Human Milk Influences the Infant Gut Microbiome.bioRxiv : the preprint server for biology · 2026Article
- Retrieval-Augmented Language Models Enable Scalable Chemical Source Classification in Metabolomics Workflows.Analytical chemistry · 2026Article
- Community Curation of Microbial Metabolites Enables Biological Insights of Metabolomics Data.bioRxiv : the preprint server for biology · 2026Article
- Fecal microbial and metabolic signatures in children with very early onset inflammatory bowel disease.NPJ biofilms and microbiomes · 2025Article
- Review
- Reaction-Guided Metabolomics Accelerates High-Throughput Annotation of Xenobiotic Metabolites for Human Exposome.Environmental science & technology · 2025Article
- Metabolome informs about the chemical exposome and links to brain health.Environment international · 2025Review
Corrections and comments
- Update of
Authors and funding
59 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.