Pooling samples for “top-down-molecular exposomics research: the methodology
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  • 作者:Heqing Shen ; Weipan Xu ; Siyuan Peng ; Hagen Scherb ; Jianwen She
  • 关键词:Exposome ; Exposure biomarker ; Metabolome ; Effect biomarker ; Case ; control study ; Environmental pollutants ; Pooled sample
  • 刊名:Environmental Health
  • 出版年:2014
  • 出版时间:December 2014
  • 年:2014
  • 卷:13
  • 期:1
  • 全文大小:734 KB
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  • 刊物主题:Environmental Health; Occupational Medicine/Industrial Medicine; Public Health;
  • 出版者:BioMed Central
  • ISSN:1476-069X
文摘
Background Exposomics is the cutting-edge concept of screening the environmental risk factors for disease. In the novel “top-down-approach, we estimate the molecular exposome by measuring all body fluid analytes in a case-controlled study. However, to detect diverse pollutants, a sufficient sample size and multiple analytical methods are required. This may lead to dramatically increased costs and research workload. Methods To help reduce complexity, we suggest a sample pooling strategy along with a scheme for combining both general unknown or multi-targeted screening with targeted analysis. The sample pooling method was tested using computer simulations. Results By comprehensively analysis of pooled samples, it is possible to identify environmental risk factors. Factors are initially screened in the pooled case and control population samples, then in the randomized grouped and pooled case and control subpopulation samples. In the sample grouping, five or more pools were suggested for groups having 30 individuals per pool. Conclusions This study suggests that sample pooling is a useful strategy for exposomics research, which provides a hypothesis-free method for pollutant risk screening.

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