2020
DOI: 10.1016/j.envpol.2020.114026
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Reduction of mitochondrial DNA copy number in peripheral blood is related to polycyclic aromatic hydrocarbons exposure in coke oven workers: Bayesian kernel machine regression

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Cited by 20 publications
(7 citation statements)
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“…Higher mtDNAcn was previously detected in the peripheral blood of workers chronically exposed to PAHs 33 . In contrast, other authors observed decreased mtDNAcn in peripheral blood in association with exposure to PAHs 34 , 35 . Increased blood mtDNAcn was also found associated with traffic-related air pollution 36 , 37 and exposure to benzene 38 .…”
Section: Discussionmentioning
confidence: 63%
“…Higher mtDNAcn was previously detected in the peripheral blood of workers chronically exposed to PAHs 33 . In contrast, other authors observed decreased mtDNAcn in peripheral blood in association with exposure to PAHs 34 , 35 . Increased blood mtDNAcn was also found associated with traffic-related air pollution 36 , 37 and exposure to benzene 38 .…”
Section: Discussionmentioning
confidence: 63%
“…40,41 Due to its sensitivity and specificity, urinary 1-OHP is usually used as a biomarker to evaluate high PAH exposure. 42 We found that urinary 1-OHP negatively associated with the levels of GATA3 or T-bet. This finding suggested that PM might lead to immune impairment.…”
Section: Discussionmentioning
confidence: 66%
“…PAHs, a type of toxic constituents in PM, are known to be potential carcinogens and the main cause of lung cancer in the PM-exposed population, the underlying mechanism may include immune impairments. , Due to its sensitivity and specificity, urinary 1-OHP is usually used as a biomarker to evaluate high PAH exposure . We found that urinary 1-OHP negatively associated with the levels of GATA3 or T-bet .…”
Section: Discussionmentioning
confidence: 74%
“…Thirdly, a new flexible statistical method, the BKMR model is utilized to quantify and visualize the cumulative effects and dose-response relationships of serum metal mixtures in continuous variables. This approach reduces measurement bias and overcomes limitations associated with traditional analytical methods ( 32 ). However, this study also has some limitations.…”
Section: Discussionmentioning
confidence: 99%