ArticleEnvironmental science & technology2025
Reaction-Guided Metabolomics Accelerates High-Throughput Annotation of Xenobiotic Metabolites for Human Exposome.
Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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
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Who cites it
4 citing papers in PubMed.
- High-Throughput Suspect Screening Reveals Widespread Pesticide Exposure in Early Childhood.Environment & health (Washington, D.C.) · 2026Article
- Activity-guided substructure prioritization accelerates discovery of gut microbiota-derived immune-regulating metabolites.Nature communications · 2026Article
- Reaction-Guided Metabolomics Accelerates High-Throughput Annotation of Xenobiotic Metabolites for Human Exposome.Environmental science & technology · 2025Article
- Development of LC-MS/MS Database Based on 250 Potentially Highly Neuroactive Compounds and Their Metabolites.Metabolites · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The human exposome features a highly expansive chemical space and substantial individual variability. Although screenings of xenobiotic compounds have revealed exposure landscapes of specific compounds, significant bottlenecks remain in profiling their biotransformed products for comprehensive exposome-wide analysis, including limitations to known metabolites, challenges in new metabolite annotation, and low throughput. In this study, we developed an untargeted metabolomics-based compound metabolite discovery network (CMDN) to facilitate high-throughput annotation of xenobiotic metabolites. CMDN integrates a triple-layered architecture comprising a differential expression metabolic space, a rule-based pseudo-MS
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Registered trials
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