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- W2959796532 abstract "Even though the majority of population studies in environmental health focus on a single factor, environmental exposure in the real world is a mixture of many chemicals. The concept of “exposome” leads to an intellectual framework of measuring many exposures in humans, and the emerging metabolomics technology offers a means to read out both the biological activity and environmental impact in the same dataset. How to integrate exposome and metabolome in data analysis is still challenging. Here, we employ a hierarchical community network to investigate the global associations between the metabolome and mixed exposures including DDTs, PFASs and PCBs, in a women cohort with sera collected in California in the 1960s. Strikingly, this analysis revealed that the metabolite communities associated with the exposures were non-specific and shared among exposures. This suggests that a small number of metabolic phenotypes may account for the response to a large class of environmental chemicals." @default.
- W2959796532 created "2019-07-23" @default.
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- W2959796532 date "2020-03-01" @default.
- W2959796532 modified "2023-10-11" @default.
- W2959796532 title "Understanding mixed environmental exposures using metabolomics via a hierarchical community network model in a cohort of California women in 1960’s" @default.
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- W2959796532 doi "https://doi.org/10.1016/j.reprotox.2019.06.013" @default.
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