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Pooling samples for “top-down” molecular exposomics research: the methodology
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3978125/ https://www.ncbi.nlm.nih.gov/pubmed/24524244 http://dx.doi.org/10.1186/1476-069X-13-8 |
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author | Shen, Heqing Xu, Weipan Peng, Siyuan Scherb, Hagen She, Jianwen Voigt, Kristina Alamdar, Ambreen Schramm, Karl-Werner |
author_facet | Shen, Heqing Xu, Weipan Peng, Siyuan Scherb, Hagen She, Jianwen Voigt, Kristina Alamdar, Ambreen Schramm, Karl-Werner |
author_sort | Shen, Heqing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3978125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39781252014-04-21 Pooling samples for “top-down” molecular exposomics research: the methodology Shen, Heqing Xu, Weipan Peng, Siyuan Scherb, Hagen She, Jianwen Voigt, Kristina Alamdar, Ambreen Schramm, Karl-Werner Environ Health Methodology 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. BioMed Central 2014-02-13 /pmc/articles/PMC3978125/ /pubmed/24524244 http://dx.doi.org/10.1186/1476-069X-13-8 Text en Copyright © 2014 Shen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Methodology Shen, Heqing Xu, Weipan Peng, Siyuan Scherb, Hagen She, Jianwen Voigt, Kristina Alamdar, Ambreen Schramm, Karl-Werner Pooling samples for “top-down” molecular exposomics research: the methodology |
title | Pooling samples for “top-down” molecular exposomics research: the methodology |
title_full | Pooling samples for “top-down” molecular exposomics research: the methodology |
title_fullStr | Pooling samples for “top-down” molecular exposomics research: the methodology |
title_full_unstemmed | Pooling samples for “top-down” molecular exposomics research: the methodology |
title_short | Pooling samples for “top-down” molecular exposomics research: the methodology |
title_sort | pooling samples for “top-down” molecular exposomics research: the methodology |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3978125/ https://www.ncbi.nlm.nih.gov/pubmed/24524244 http://dx.doi.org/10.1186/1476-069X-13-8 |
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