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Analyzing Metabolomics Data for Environmental Health and Exposome Research

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Computational Methods and Data Analysis for Metabolomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2104))

Abstract

The exposome is the cumulative measure of environmental influences and associated biological responses across the life span, with critical relevance for understanding how exposures can impact human health. Metabolomics analysis of biological samples offers unique advantages for examining the exposome. Simultaneous analysis of external exposures, biological responses, and host susceptibility at a systems level can help establish links between external exposures and health outcomes. As metabolomics technologies continue to evolve for the study of the exposome, metabolomics ultimately will help provide valuable insights for exposure risk assessment, and disease prevention and management. Here, we discuss recent advances in metabolomics, and describe data processing protocols that can enable analysis of the exposome. This chapter focuses on using liquid chromatography–mass spectrometry (LC-MS)-based untargeted metabolomics for analysis of the exposome, including (1) preprocessing of untargeted metabolomics data, (2) identification of exposure chemicals and their metabolites, and (3) methods to establish associations between exposures and diseases.

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Authors and Affiliations

  1. Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA

    Yuping Cai, Ana K Rosen Vollmar & Caroline Helen Johnson

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  1. Yuping Cai
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  2. Ana K Rosen Vollmar
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  3. Caroline Helen Johnson
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Correspondence to Caroline Helen Johnson .

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Editors and Affiliations

  1. Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA

    Shuzhao Li

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Cai, Y., Rosen Vollmar, A.K., Johnson, C.H. (2020). Analyzing Metabolomics Data for Environmental Health and Exposome Research. In: Li, S. (eds) Computational Methods and Data Analysis for Metabolomics. Methods in Molecular Biology, vol 2104. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0239-3_22

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  • DOI: https://doi.org/10.1007/978-1-0716-0239-3_22

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