ReviewEnvironmental science & technology2024
High-Resolution Mass Spectrometry for Human Exposomics: Expanding Chemical Space Coverage.
Review in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 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
42 citing papers in PubMed.
- Updated Knowledge on Radon Exposure: Quantification Methods, Health Effects, and Molecular Mechanisms.Environment & health (Washington, D.C.) · 2026Review
- Fast and Scalable Sample Preparation for Integrated Metabolome and Exposome-Wide Association Studies (MWAS/ExWAS).Analytical chemistry · 2026Article
- Column switching liquid chromatography dual mass spectrometry system for simultaneous untargeted metabolomics and targeted exposomics.Nature communications · 2026Article
- Interactive Software for Interpreting and Curating High-Resolution Electron Ionization Mass Spectra.Journal of mass spectrometry : JMS · 2026Article
- Exercise and Sports Metabolomics: Analytical Platforms, Metabolite Annotation, Pathway-Level Interpretation, and Biomarker-Panel Readiness.Metabolites · 2026Review
- ToxBase: A Multidimensional ToxCast Reference Database for High-Throughput Human Exposome Analysis.Environmental science & technology · 2026Article
- IMFrag: A Tool to Recognize In-Source Fragmentation in Ion Mobility-Enabled Data-Independent Acquisition Workflows.Analytical chemistry · 2026Article
- Enhanced Environmental PFAS Characterization Using a Virtual High-Resolution Mass Spectral Library Generated by Transfer Learning-Based Neural Network.Environmental science & technology · 2026Article
- Librarian: An Open-Access Web Application for High-Resolution Mass Spectral Library Assembly.Metabolites · 2026Article
- Assessing the metabolomics "dark matter" by a detectable khipu model.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- The Human Exposome: Integrating the Environment, Human Health, and Society for the Next 60 years.Environmental science & technology · 2026Review
- From Target-Nontarget to Nontarget Screening: A Review on Screening Methods for Organic Pollutants Based on High-Resolution Mass Spectrometry.Environment & health (Washington, D.C.) · 2026Review
- Exposomics Crosses the Rubicon: Let the Building Begin.Environmental science & technology · 2026Article
- Will Chemical Exposomics Be Ready for a Human Exposome Project?Environmental science & technology · 2026Article
- A network-based map of the chemical exposome connects molecular interactions to public health.Nature communications · 2026Article
- Unlocking the Bile Acid Universe: Advanced Workflows and a Multidimensional Library of 280 Unique Species.bioRxiv : the preprint server for biology · 2026Article
- Clean beauty gentrification: The role of historic and contemporary resource allocation practices on hair product safety in Boston, MA.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Potential hazard assessment of 6PPD-quinone in the context of ulcerative colitis: network toxicology, machine learning, transcriptomic analysis, and preliminaryFrontiers in immunology · 2026Article
- Unlocking the bile acid universe: advanced workflows and a multidimensional library of 280 unique species.Sustainable microbiology · 2026Article
- Artificial intelligence driven exposome and multi omics integration for biomarker discovery in liver cancer: a literature review.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
46 authors.
Funding
Abstract
In the modern "omics" era, measurement of the human exposome is a critical missing link between genetic drivers and disease outcomes. High-resolution mass spectrometry (HRMS), routinely used in proteomics and metabolomics, has emerged as a leading technology to broadly profile chemical exposure agents and related biomolecules for accurate mass measurement, high sensitivity, rapid data acquisition, and increased resolution of chemical space. Non-targeted approaches are increasingly accessible, supporting a shift from conventional hypothesis-driven, quantitation-centric targeted analyses toward data-driven, hypothesis-generating chemical exposome-wide profiling. However, HRMS-based exposomics encounters unique challenges. New analytical and computational infrastructures are needed to expand the analysis coverage through streamlined, scalable, and harmonized workflows and data pipelines that permit longitudinal chemical exposome tracking, retrospective validation, and multi-omics integration for meaningful health-oriented inferences. In this article, we survey the literature on state-of-the-art HRMS-based technologies, review current analytical workflows and informatic pipelines, and provide an up-to-date reference on exposomic approaches for chemists, toxicologists, epidemiologists, care providers, and stakeholders in health sciences and medicine. We propose efforts to benchmark fit-for-purpose platforms for expanding coverage of chemical space, including gas/liquid chromatography-HRMS (GC-HRMS and LC-HRMS), and discuss opportunities, challenges, and strategies to advance the burgeoning field of the exposome.
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What OpenQuestion holds
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.