Immune Regulation Patterns in Response to Environmental Pollutant Chromate Exposure-Related Genetic Damage: A Cross-Sectional Study Applying Machine Learning Methods.

Journal: Environmental science & technology
PMID:

Abstract

Exposure to hexavalent chromium damages genetic materials like DNA and chromosomes, further elevating cancer risk, yet research rarely focuses on related immunological mechanisms, which play an important role in the occurrence and development of cancer. We investigated the association between blood chromium (Cr) levels and genetic damage biomarkers as well as the immune regulatory mechanism involved, such as costimulatory molecules, in 120 workers exposed to chromates. Higher blood Cr levels were linearly correlated with higher genetic damage, reflected by urinary 8-hydroxy-2'-deoxyguanosine (8-OHdG) and blood micronucleus frequency (MNF). Exploratory factor analysis revealed that both positive and negative immune regulation patterns were positively associated with blood Cr. Specifically, higher levels of programmed cell death protein 1 (PD-1; mediated proportion: 4.12%), programmed cell death ligand 1 (PD-L1; 5.22%), lymphocyte activation gene 3 (LAG-3; 2.11%), and their constitutive positive immune regulation pattern (5.86%) indirectly positively influenced the relationship between blood Cr and urinary 8-OHdG. NOD-like receptor family pyrin domain containing 3 (NLRP3) positively affected the association between blood Cr levels and inflammatory immunity. This study, using machine learning, investigated immune regulation and its potential role in chromate-induced genetic damage, providing insights into complex relationships and emphasizing the need for further research.

Authors

  • Zekang Su
    Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
  • Yali Zhang
    College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
  • Shiyi Hong
    Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
  • Qiaojian Zhang
    Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
  • Zhiqiang Ji
    Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
  • Guiping Hu
    Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, USA. gphu@iastate.edu.
  • Xiaojun Zhu
    National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Xicheng District, Beijing 100050, China. happyzhuxj@163.com.
  • Fang Yuan
    Department of Pharmacy The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology Kunming China.
  • Shanfa Yu
    Henan Institute for Occupational Medicine, Zhengzhou City, Henan Province 450052, China.
  • Tianchen Wang
    Department of Clinical Laboratory, Third Hospital of Peking University, Beijing 100191, China.
  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Guang Jia
    Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.