Application of mixture analysis methods in association between metals mixture exposure and DNA oxidative damage / 中华预防医学杂志
Chinese Journal of Preventive Medicine
; (12): 1026-1031, 2023.
Article
Dans Zh
| WPRIM
| ID: wpr-985514
Responsable en Bibliothèque :
WPRO
ABSTRACT
Objectives:
To study the association between metals mixture exposure and DNA oxidative damage using mixture analysis methods, and to explore the most significant exposure factors that cause DNA oxidative damage.Methods:
Workers from steel enterprises were recruited in Shandong Province. Urinary metals were measured by using the inductively coupled plasma mass spectrometry method. The level of urinary 8-hydroxy-2'-deoxyguanosine (8-OHdG) was determined by using the ultra-high performance liquid chromatography-mass spectrometry method. Bayesian kernel machine regression (BKMR), elastic net regression and quantile g-computation regression were used to analyze the association between urinary metals and urinary 8-OHdG.Results:
A total of 768 subjects aged (36.15±7.40) years old were included in the study. BKMR, elastic net regression and quantile g-computation all revealed an overall positive association between the mixture concentration and increased urinary 8-OHdG. The quantile g-computation results showed that with a 25% increase in metal mixtures, the urinary 8-OHdG level increased by 77.60%. The elastic net regression showed that with a 25% increase in exposure risk score, the urinary 8-OHdG level increased by 26%. The BKMR summarized the contribution of individual exposures to the response, and selenium, zinc, and nickel were significant contributors to the urinary 8-OHdG elevation.Conclusion:
Exposure to mixed metals causes elevated levels of DNA oxidative damage, and selenium, zinc, and nickel are significant exposure factors.
Texte intégral:
1
Indice:
WPRIM
Sujet Principal:
Sélénium
/
Zinc
/
Altération de l'ADN
/
Théorème de Bayes
/
Stress oxydatif
/
8-Hydroxy-2'-désoxyguanosine
/
Métaux
/
Nickel
Limites du sujet:
Adult
/
Humans
langue:
Zh
Texte intégral:
Chinese Journal of Preventive Medicine
Année:
2023
Type:
Article