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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
Published on: May 20, 2013
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Development and Application of an LC-MS/MS Untargeted Exposomics Method with a Separated Pooled Quality Control
Gianfranco Frigerio1,2,3, Camilla Moruzzi2, Rosa Mercadante2
1Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Avenue du Swing, L-4367 Belvaux, Luxembourg.
Molecules (Basel, Switzerland)
|April 23, 2022
Summary
This study introduces a new method for exposomics research using separated pooled quality controls (QCs) in human biomonitoring. This approach enhances the detection of low-level compounds in exposed individuals, improving data quality.
Area of Science:
- Environmental Health
- Analytical Chemistry
- Metabolomics
Background:
- Untargeted methods in exposomics rely on pooled quality controls (QCs) to ensure data quality.
- Traditional pooled QCs can dilute low-level compounds in exposed groups, leading to their omission in analysis.
- This limitation hinders comprehensive human biomonitoring, especially in studies comparing exposed and non-exposed populations.
Purpose of the Study:
- To develop and validate an untargeted analytical workflow for human biomonitoring in urine samples.
- To implement a novel approach for preparing separated pooled quality controls (QCs).
- To enhance the identification of biologically significant compounds in exposomics studies.
Main Methods:
- An untargeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) workflow was established.
- Three distinct pooled QCs were prepared: total samples (QC-T), non-smokers only (QC-NS), and smokers only (QC-S).
- Feature tables were filtered separately using QC-T and a merged list from QC-NS and QC-S (SNS-feature list).
Main Results:
- The separated pooled QC strategy (SNS-feature list) identified a greater number of features compared to the traditional pooled QC (T-feature list).
- This resulted in the identification of a higher number of biologically significant compounds.
- The novel QC approach demonstrated improved sensitivity for detecting compounds in specific exposure groups.
Conclusions:
- The separated pooled quality control strategy effectively addresses the limitations of traditional methods in exposomics.
- This approach significantly improves the comprehensiveness of untargeted human biomonitoring for exposed and non-exposed subjects.
- The developed workflow enhances the discovery of relevant biomarkers in environmental health studies.

