Mass Spectrometry-Based Metabolomics Reveals Occupational Exposure to Per- And Polyfluoroalkyl Substances Relates to Oxidative Stress, Fatty Acid β-Oxidation Disorder, and Kidney Injury in a Manufactory in China

  • Yao Lu
  • , Ke Gao
  • , Xiaona Li
  • , Zhi Tang
  • , Li Xiang
  • , Hongzhi Zhao
  • , Jianjie Fu
  • , Ling Wang
  • , Nali Zhu
  • , Zongwei Cai*
  • , Yong Liang*
  • , Yawei Wang*
  • , Guibin Jiang
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

114 Citations (Scopus)

Abstract

Occupational workers are usually exposed to high levels of per- and polyfluoroalkyl substances (PFASs), placing them under greater health risks compared to the general population. Herein, 40 occupational workers from a factory in China and 52 control subjects from the general population were involved in an investigation on the potential health concerns of occupational exposure to PFASs by mass spectrometry-based metabolomics analysis. The PFAS levels in plasma from both groups were analyzed. Six PFAS congeners (ς6PFASs) were found to be the main components of the 13 detected PFASs, with a geometric mean of 1770 and 22.2 ng mL-1 in occupational workers and the general population, respectively. Metabolic profiles of the plasma samples were acquired using liquid chromatography coupled with orbitrap high-resolution mass spectrometry and gas chromatography-mass spectrometry. The partial least-squares-discriminant analysis model indicated that the plasma metabolic profiles of the two groups could be clearly separated. Differential and correlation analyses were applied to discover potential biomarkers. A total of 14 potential biomarkers were identified, and they were found to be associated with oxidative stress, fatty acid β-oxidation disorder, and kidney injury. The obtained results indicated that the health effects of occupational exposure to PFASs on workers should not be ignored.

Original languageEnglish
Pages (from-to)9800-9809
Number of pages10
JournalEnvironmental Science and Technology
Volume53
Issue number16
DOIs
Publication statusPublished - 20 Aug 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Mass Spectrometry-Based Metabolomics Reveals Occupational Exposure to Per- And Polyfluoroalkyl Substances Relates to Oxidative Stress, Fatty Acid β-Oxidation Disorder, and Kidney Injury in a Manufactory in China'. Together they form a unique fingerprint.

Cite this