Title |
Mutagenic and DNA repair activity in traffic policemen: a case-crossover study
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Published in |
Journal of Occupational Medicine and Toxicology, August 2018
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DOI | 10.1186/s12995-018-0206-9 |
Pubmed ID | |
Authors |
Caterina Ledda, Carla Loreto, Massimo Bracci, Claudia Lombardo, Gaetano Romano, Diana Cinà, Nicola Mucci, Sergio Castorina, Venerando Rapisarda |
Abstract |
Emissions from vehicles are composed of heterogeneous mixtures of hazardous substances; several pollutants such as Polycyclic Aromatic Hydrocarbons (PAHs) are amongst the most dangerous substances detected in urban monitoring. A cohort of traffic policemen usually occupationally exposed to PAHs present in the urban environment were examined in order to assess the mutagenicity and DNA capacity repair. Seventy-two urban traffic policemen working in Catania's metropolitan area were enrolled in the study. Two spot urine samples were collected from each subject during the whole working cycle as follows: sample 1 (S1), pre-shift on day 1; sample 2 (S2) post-shift on day 6. 1-hydroxypyrene (1-OHP) was measured to serve as an indirect exposure indicator. Urinary mutagenic activity was assessed through the plate incorporation pre-incubation technique with S9, using YG1024 Salmonella typhimurium strain over-sensitive to PAH metabolite. Concentrations of urinary 8-oxodG were measured using liquid chromatography tandem mass spectrometry. As regards the exposure to PAHs, results highlighted a statistically significant difference (p < 0.001) between pre-shift on day 1 and post-shift on day 6 levels. Mutagenic activity was detected in 38 (66%) workers on S1 and in 47 (81%) on S2. Also 8-oxodG analysis showed a statistically significant difference between S1 and S2 sampling. This study demonstrated that occupational exposure to pollutants from traffic emission, assessed via 1-OHP measurements in urine, may lead to DNA repair and mutagenic activity, in line with other studies. |
X Demographics
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 6 | 18% |
Student > Master | 4 | 12% |
Student > Bachelor | 3 | 9% |
Student > Ph. D. Student | 2 | 6% |
Librarian | 1 | 3% |
Other | 3 | 9% |
Unknown | 14 | 42% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 4 | 12% |
Environmental Science | 4 | 12% |
Nursing and Health Professions | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Arts and Humanities | 1 | 3% |
Other | 4 | 12% |
Unknown | 17 | 52% |