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Pooling samples for "top-down" molecular exposomics research: the methodology
Heqing Shen1, Weipan Xu, Siyuan Peng
1Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, PR China. hqshen@iue.ac.cn.
Sample pooling simplifies exposomics research by reducing costs and workload. This strategy efficiently screens for environmental risk factors using pooled samples, offering a hypothesis-free approach to pollutant discovery.
Area of Science:
- Environmental Health
- Toxicology
- Biochemistry
Background:
- Exposomics aims to identify environmental risk factors for diseases.
- The "top-down" approach measures the molecular exposome using body fluid analytes.
- High costs and workload limit current exposomics studies due to sample size and analytical method requirements.
Purpose of the Study:
- To propose a sample pooling strategy to reduce complexity in exposomics research.
- To combine general unknown/multi-targeted screening with targeted analysis.
- To validate the sample pooling method using computer simulations.
Main Methods:
- A sample pooling strategy was developed.
- Combined screening approaches (general unknown/multi-targeted and targeted analysis) were integrated.
- Computer simulations were used to test the sample pooling method.
Main Results:
- Comprehensive analysis of pooled samples can identify environmental risk factors.
- Screening involves initial analysis in pooled case/control populations, followed by subpopulation samples.
- A minimum of five pools per 30 individuals is suggested for sample grouping.
Conclusions:
- Sample pooling is an effective strategy for exposomics research.
- This method offers a hypothesis-free approach for screening pollutant risks.
- The strategy helps reduce the cost and workload associated with exposomics studies.
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