Literature DB >> 31953830

Analyzing Metabolomics Data for Environmental Health and Exposome Research.

Yuping Cai1, Ana K Rosen Vollmar1, Caroline Helen Johnson2.   

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.

Entities:  

Keywords:  Data processing; Exposome; Human health; Untargeted metabolomics

Mesh:

Year:  2020        PMID: 31953830     DOI: 10.1007/978-1-0716-0239-3_22

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

Review 1.  Non-targeted metabolomics and associations with per- and polyfluoroalkyl substances (PFAS) exposure in humans: A scoping review.

Authors:  Pengfei Guo; Tristan Furnary; Vasilis Vasiliou; Qi Yan; Kate Nyhan; Dean P Jones; Caroline H Johnson; Zeyan Liew
Journal:  Environ Int       Date:  2022-02-26       Impact factor: 9.621

2.  Chemical exposures assessed via silicone wristbands and endogenous plasma metabolomics during pregnancy.

Authors:  Brett T Doherty; Susan L McRitchie; Wimal W Pathmasiri; Delisha A Stewart; David Kirchner; Kim A Anderson; Jiang Gui; Juliette C Madan; Anne G Hoen; Susan J Sumner; Margaret R Karagas; Megan E Romano
Journal:  J Expo Sci Environ Epidemiol       Date:  2021-10-26       Impact factor: 5.563

3.  JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics.

Authors:  Jian Guo; Sam Shen; Min Liu; Chenjingyi Wang; Brian Low; Ying Chen; Yaxi Hu; Shipei Xing; Huaxu Yu; Yu Gao; Mingliang Fang; Tao Huan
Journal:  Metabolites       Date:  2022-02-26
  3 in total

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