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A scalable workflow to characterize the human exposome
Xin Hu1, Douglas I Walker2, Yongliang Liang1
1Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA.
Understanding the human exposome is crucial. A new method enables broad environmental chemical analysis in plasma and tissue, advancing exposome research and biomonitoring.
Area of Science:
- Environmental health science
- Analytical chemistry
- Toxicology
Background:
- Understanding the human exposome, encompassing all environmental exposures, is vital for public health.
- Current chemical analysis methods are costly and limited in scope, hindering comprehensive exposome research.
- A need exists for scalable, cost-effective methods to analyze a wider range of environmental chemicals in biological samples.
Purpose of the Study:
- To develop and validate a novel, single-step analytical workflow for operationalizing the human exposome.
- To enable high-throughput quantification of environmental chemicals in human biological matrices.
- To facilitate population-level exposome research and harmonize biomonitoring efforts.
Main Methods:
- Development of a single-step express liquid extraction technique.
- Application of gas chromatography-high-resolution mass spectrometry (GC-HRMS) for chemical analysis.
- Validation of the method for human plasma (200 µL) and tissue (≤100 mg) samples.
Main Results:
- The workflow successfully quantifies environmental chemicals in small volumes of human plasma and tissue.
- High resolution, sensitivity, and selectivity were achieved for mass spectral features.
- The method allows for exposome epidemiology without prior knowledge of chemical identity.
Conclusions:
- The developed method operationalizes the human exposome by enabling broad-scale chemical analysis.
- Its simplicity and efficiency support harmonization of environmental biomonitoring across laboratories.
- This approach facilitates population-level human exposome research with limited sample volumes.
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