Lipidomics and environmental toxicology: Recent trends

被引:16
作者
Aristizabal-Henao, Juan J. [1 ]
Ahmadireskety, Atiye [2 ]
Griffin, Emily K. [1 ]
Da Silva, Bianca Ferreira [1 ]
Bowden, John A. [1 ,2 ]
机构
[1] Univ Florida, Coll Vet Med, Dept Physiol Sci, Gainesville, FL 32611 USA
[2] Univ Florida, Dept Chem, Gainesville, FL 32611 USA
关键词
Lipidomics; Exposomics; Pollutants; Environment; Analytical chemistry;
D O I
10.1016/j.coesh.2020.04.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The versatility of lipidomic applications has been increasingly recognized in environmental toxicology in recent years. The unmatched diversity and ubiquitous nature of lipids makes them exceptional candidates in the discovery of sensitive biomarkers for various diseases in animals and humans. In this short review, we highlight recent studies (since 2017) that implement lipidomics as a tool to examine the effects of envi-ronmental stress (e.g., exposure) using in vitro and in vivo models. Specifically, this includes lipidomic examinations of exposure to organic pollutants, such as per-and poly-fluoroalkyl substances and bisphenols, and heavy metals, such as arsenic and mercury, among others, in cell culture, animal and human studies. Innovative developments in analyte separation technologies, mass spectrometry instrumentation, and advanced data acquisition strategies will continue to drive new developments in systems biology. Thus, it is important to recognize the importance of adopting lipidomics into multiple-omic investigations in this burgeoning field (environmental lipidomics).
引用
收藏
页码:26 / 31
页数:6
相关论文
共 74 条
  • [1] [Anonymous], 2020, ENVIRON INT
  • [2] [Anonymous], 2019, METABOLITES, DOI DOI 10.3390/METABO9100242
  • [3] [Anonymous], 2019, FASEB J S
  • [4] [Anonymous], 2020, TOXICOL IN VITRO
  • [5] [Anonymous], 2017, TOXICOLOGY, DOI DOI 10.1016/J.TOX.2017.07.017
  • [6] [Anonymous], 2019, METALLOMICS, DOI DOI 10.1039/C8MT00181B
  • [7] [Anonymous], 2019, J HAZARD MATER, DOI DOI 10.1016/J.JHAZMAT.2019.05.067
  • [8] [Anonymous], 2019, INT J MOL SCI, DOI DOI 10.3390/IJMS20246348
  • [9] [Anonymous], 2019, ANAL CHEM, DOI DOI 10.1021/ACS.ANALCHEM.9B02908
  • [10] Ion mobility mass spectrometry enhances low-abundance species detection in untargeted lipidomics
    Basit, Abdul
    Pontis, Silvia
    Piomelli, Daniele
    Armirotti, Andrea
    [J]. METABOLOMICS, 2016, 12 (03)