Blood Sample Preparation for Human Chemical Exposomics: Insights from Large-Scale Applications
Jade Chaker1, Eva Gorrochategui Matas1, Cécile Chevrier1
1Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)─UMR_S 1085, Rennes 35000, France.
Comparing sample preparation methods for exposomics, this study found that while both protein precipitation (PPT) and phospholipid removal (PLR) offer good chemical coverage, using complementary methods is valuable for comprehensive profiling of the internal chemical exposome.
Area of Science:
- Environmental Health Sciences
- Analytical Chemistry
- Biochemistry
Background:
- Liquid chromatography-high-resolution mass spectrometry (LC-HRMS) is crucial for profiling the internal chemical exposome in human biofluids.
- Scaling up exposomics research requires sensitive, robust, and high-throughput methodologies.
Purpose of the Study:
- To compare two sample preparation methods (SPMs): protein precipitation (PPT) and PPT with phospholipid removal (PLR).
- To assess the impact of these SPMs on LC-HRMS repeatability and chemical coverage in blood plasma and serum.
- To evaluate the effectiveness of additional filtration for sample concentration.
Main Methods:
- Two cohorts (plasma n=109, serum n=75) were analyzed using PPT and PLR SPMs.
- LC-HRMS was employed for chemical profiling.
- A suspect screening strategy was used to compare chemical coverage for 184 compounds.
- Additional filtration was tested for sample concentration.
Main Results:
- Both SPMs provided acceptable chemical coverage for large-scale exposomics (78-86% detection).
- A significant fraction of chemicals showed preferential (>2-fold) or exclusive detection with one SPM, indicating matrix effects or recovery differences.
- Low-abundance chemicals were more sensitive to the choice of SPM.
- Additional filtration on PLR plates allowed for doubled sample concentration without impacting repeatability.
Conclusions:
- Both PPT and PLR are viable for large-scale exposomics, but neither is universally superior.
- The compound-dependent detection rates highlight the importance of using complementary sample preparation methods for maximal chemical coverage.
- Further research may be needed to understand the physicochemical drivers of SPM performance for low-abundance chemicals.
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