PURPOSE: To assess the predictive power of the comet assay in the context of occupational exposure to pesticides. MATERIALS AND METHODS: The recruited subjects completed a structured questionnaire and gave a blood sample. Exposure to pesticides was measured by means of an algorithm based on Dosemeci's work (Agricultural Health Study). Approximately 50 images were analyzed for each sample via fluorescence microscopy. The extent of DNA damage was estimated by tail moment (TM) and is the product of tail DNA (%) and tail Length. RESULTS: Crude significant risks (odds ratios, ORs) for values higher than the 75th percentile of TM were observed among the exposed subjects (score > 1). The frequency of some confounding factors (sex, age and smoking) was significantly higher among the exposed workers. A significant dose-effect relationship was observed between TM and exposure score. Significant high-risk estimates (ORs), adjusted by the studied confounding factors, among exposure to pesticides and TM, % tail DNA and tail length were confirmed using unconditional logistic regression models. CONCLUSIONS: The adjusted associations (ORs) between the comet parameters and exposure to pesticides were significant. The sensitivity of the comet test was low (41%), the specificity (89%) and the predictive positive value (0.77) were found acceptable.
PURPOSE: To assess the predictive power of the comet assay in the context of occupational exposure to pesticides. MATERIALS AND METHODS: The recruited subjects completed a structured questionnaire and gave a blood sample. Exposure to pesticides was measured by means of an algorithm based on Dosemeci's work (Agricultural Health Study). Approximately 50 images were analyzed for each sample via fluorescence microscopy. The extent of DNA damage was estimated by tail moment (TM) and is the product of tail DNA (%) and tail Length. RESULTS: Crude significant risks (odds ratios, ORs) for values higher than the 75th percentile of TM were observed among the exposed subjects (score > 1). The frequency of some confounding factors (sex, age and smoking) was significantly higher among the exposed workers. A significant dose-effect relationship was observed between TM and exposure score. Significant high-risk estimates (ORs), adjusted by the studied confounding factors, among exposure to pesticides and TM, % tail DNA and tail length were confirmed using unconditional logistic regression models. CONCLUSIONS: The adjusted associations (ORs) between the comet parameters and exposure to pesticides were significant. The sensitivity of the comet test was low (41%), the specificity (89%) and the predictive positive value (0.77) were found acceptable.
Entities:
Keywords:
Comet assay; DNA damage; exposure score; lymphocytes; pesticides
Authors: A Bauer; E Haufe; L Heinrich; A Seidler; H J Schulze; P Elsner; H Drexler; S Letzel; S M John; M Fartasch; T Brüning; S Dugas-Breit; M Gina; W Weistenhöfer; K Bachmann; I Bruhn; B M Lang; R Brans; J P Allam; W Grobe; S Westerhausen; P Knuschke; M Wittlich; T L Diepgen; J Schmitt Journal: J Occup Med Toxicol Date: 2020-09-10 Impact factor: 2.646
Authors: Luigi De Maria; Antonio Caputi; Vito Luisi; Maria Celeste Delfino; Domenica Cavone; Pasquale Acquafredda; Mauro Pallara; Piero Lovreglio; Luigi Vimercati Journal: Clin Case Rep Date: 2020-11-10
Authors: Luigi De Maria; Caterina Ledda; Antonio Caputi; Francesca Mansi; Enza Sabrina Silvana Cannone; Stefania Sponselli; Domenica Cavone; Francesco Birtolo; Emanuele Cannizzaro; Giovanni Maria Ferri; Venerando Rapisarda; Luigi Vimercati Journal: Front Public Health Date: 2020-07-17
Authors: Luigi Vimercati; Lucia Bisceglia; Domenica Cavone; Antonio Caputi; Luigi De Maria; Maria Celeste Delfino; Vincenzo Corrado; Giovanni Maria Ferri Journal: Int J Environ Res Public Health Date: 2020-03-25 Impact factor: 3.390
Authors: Luigi Vimercati; Domenica Cavone; Maria Celeste Delfino; Antonio Caputi; Luigi De Maria; Stefania Sponselli; Vincenzo Corrado; Giovanni Maria Ferri; Gabriella Serio Journal: Int J Environ Res Public Health Date: 2020-04-12 Impact factor: 3.390