The data substrate of exposome intelligence: an interoperability profile for untargeted metabolomics [PDF]
Untargeted metabolomics, anchored in high-resolution mass spectrometry, has matured into the central analytical platform of human exposomics. It can capture endogenous biology, diet, drugs, microbial chemistry, environmental contaminants, and their ...
Thomas Hartung, Thomas Hartung
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Plasma or Serum? A Pilot Evaluation of Matrix Selection for Integrated Metabolomics and Exposomics of Clinical Samples [PDF]
Serum and plasma are the most widely used matrices in metabolomics and human biomonitoring studies; however, the optimal matrix for integrated non-targeted analysis (NTA) workflows combining metabolomics and exposomics has not been systematically ...
Xiaowen Ji +16 more
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Extracting metabolic features from liquid chromatography-mass spectrometry (LC-MS) data has been a long-standing bioinformatic challenge in untargeted metabolomics.
Shipei Xing, Tao Huan, Mingliang Fang
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Environmental Chemical Exposomics and Metabolomics in Toxicology: Recent Advances [PDF]
This editorial introduces the Special Issue titled “State-of-the-Art Environmental Chemical Exposomics and Metabolomics—2nd Edition [...]
Minjian Chen
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Exposomics as a discovery engine for emerging contaminants and hidden biological risks
Over the past decade, exposome science has evolved from a conceptual framework into a practical discovery engine for environmental health. By combining high-resolution mass spectrometry, non-targeted analysis, multi-omics integration, wearable sensors ...
Oluwatobi Kolawole +2 more
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CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets
Inter-chemical correlations in metabolomics and exposomics datasets provide valuable information for studying relationships among chemicals reported for human specimens.
Susan L Teitelbaum +2 more
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Pooled quality controls (QCs) are usually implemented within untargeted methods to improve the quality of datasets by removing features either not detected or not reproducible.
Emma L. Schymanski +2 more
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AI redefine untargeted metabolomics: estimating chemical amounts for a Human Exposome Project [PDF]
The Human Exposome Project aims to map the totality of environmental exposures, but its success relies on transforming qualitative detections into quantitative data.
Fenna C. M. Sillé +8 more
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Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS
Recently, it has been argued that the use of Big Data transforms the sciences, making data-driven research possible and studying causality redundant. In this paper, I focus on the claim on causal knowledge by examining the Big Data project EXPOsOMICS ...
Stefano Canali
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From toxicogenomics to predictive toxicology and exposomics: defining the next decade of gene–environment research [PDF]
Over the past 15 years, genetics has undergone a profound transformation driven by advances in next-generation sequencing, multi-omics technologies, single-cell analysis, genome editing, and artificial intelligence.
Douglas M. Ruden
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