Santé au travail : approche moléculaire pour évaluer le risque de l'exposition aux bioaérosols sur les lieux de travail

RESUME : Dans de nombreux environnements professionnels, des travailleurs sont exposés à des bioaérosols, que ce soit des bactéries, champignons, virus ou fragments de microorganismes. Ces bioaérosols peuvent être responsables de maladies infectieuses (p.ex. légionellose), ou de maladies non infectieuses (touchant principalement les voies respiratoires). Cependant, pour une majorité des bioaérosols, les relations entre une exposition à une certaine dose et les effets sur la santé humaine sont peu connues. Ce manque de connaissances étant dû principalement à une absence de méthodes adéquates permettant de quantifier cette exposition. La real-time quantitative PCR (Q-PCR) est un outil basé sur la quantification du DNA dont le potentiel de quantification des bioaérosols dans des environnements professionnels n'a pas été exploré. Le but de ce travail est de développer une méthode de Q-PCR permettant de quantifier des bioaérosols - en particulier des bactéries - et d'appliquer ces techniques pour des mesures préventives sur les lieux de travail. Dans ce travail, la Q-PCR a été appliquée à 1a quantification de pathogènes, de groupes taxonomiques spécifiques et de la charge bactérienne totale dans des environnements de travail, stations d'épuration et élevages industriels de volailles. Nous avons montré que la Q-PCR : 1) est capable de quantifier des pathogènes difficilement cultivables si ceux-ci sont présents en concentration importante, 2) a le potentiel pour être un outil performant dans l'étude des communautés bactériennes présentes dans l'air d'environnements professionnels, 3) est aussi performante que le comptage total des bactéries par DAPI pour quantifier 1a charge bactérienne totale et est donc une alternative prometteuse aux techniques culture-dépendantes. La Q-PCR pourrait être utilisée afin d'établir des relations doses-réponses pour la charge bactérienne ; soit dans des populations de travailleurs hautement exposés (p.ex. les éleveurs de volailles), soit en exposant des cellules à des concentrations de bioaérosols mesurées par Q-PCR. ABSTRACT : Many workers are exposed to bioaerosols such as bacteria, fungi, viruses or fragments of microorganisms. These bioaerosols can be responsible of infectious (e.g. legionellosis) or non infectious diseases (mainly respiratory symptoms). However, for a majority of them, the relationship between exposure and effects on human health is not clearly established. This is mainly due to the lack of valid quantitative assessment methods. Real-time quantitative PCR (Q-PCR) is a tool based on the quantification of DNA, of which the potential for the quantification of bioaerosols in work environments has not yet been explored. The aim of this work was to develop a Q-PCR method permitting to quantify bioaerosols -mainly bacteria and to apply those techniques in occupational environments. In this work, Q-PCR was applied to the quantification of pathogens, of specific taxonomic groups and of the total bacterial load in two different occupational settings, namely wastewater treatment plants and poultry houses. We showed that Q-PCR : 1) is capable of quantifying difficult to cultivate pathogens; when they are present at high concentrations, 2) has the potential to be a useful tool for studying bacterial communities in the air of work environments, 3) is as efficient as epifluorescence for the quantification of total bacterial load, and is a promising alternative to the culture-dependent methods. Q-PCR could be used to establish doses-responses relationships for bacterial load, either in populations of highly exposed workers such as poultry farmers, or by exposing cells to concentrations of bioaerosols quantified with Q-PCR.

Exposure to bioaerosols in poultry houses at different stages of fattening; use of real-time PCR for airborne bacterial quantification

Previous studies have demonstrated that poultry house workers are exposed to very high levels of organic dust and consequently have an increased prevalence of adverse respiratory symptoms. However, the influence of the age of broilers on bioaerosol concentrations has not been investigated. To evaluate the evolution of bioaerosol concentration during the fattening period, bioaerosol parameters (inhalable dust, endotoxin and bacteria) were measured in 12 poultry confinement buildings in Switzerland, at three different stages of the birds' growth; samples of air taken from within the breathing zones of individual poultry house employees as they caught the chickens ready to be transported for slaughter were also analysed. Quantitative polymerase chain reaction (Q-PCR) was used to assess the quantity of total airborne bacteria and total airborne Staphylococcus species. Bioaerosol levels increased significantly during the fattening period of the chickens. During the task of catching mature birds, the mean inhalable dust concentration for a worker was 26 +/- 1.9 mg m(-3) and endotoxin concentration was 6198 +/- 2.3 EU m(-3) air, >6-fold higher than the Swiss occupational recommended value (1000 EU m(-3)). The mean exposure level of bird catchers to total bacteria and Staphylococcus species measured by Q-PCR is also very high, respectively, reaching values of 53 (+/-2.6) x 10(7) cells m(-3) air and 62 (+/-1.9) x 10(6) m(-3) air. It was concluded that in the absence of wearing protective breathing apparatus, chicken catchers in Switzerland risk exposure beyond recommended limits for all measured bioaerosol parameters. Moreover, the use of Q-PCR to estimate total and specific numbers of airborne bacteria is a promising tool for evaluating any modifications intended to improve the safety of current working practices

Exposure to bioaerosols in poultry houses at different stages of fattening: use of real-time PCR for airborne bacterial quantification

Previous studies have demonstrated that poultry-house workers are exposed to very high levels of organic dust and consequently have an increased prevalence of adverse respiratory symptoms. However, the influence of the age of broilers, on bioaerosol concentrations has not been investigated. To evaluate the evolution of bioaerosol concentration during the fattening period, bioaerosol parameters (inhalable dust, endotoxin and bacteria) were measured in 12 poultry confinement buildings in Switzerland, at 3 different stages of the birds' growth; Samples of air taken from within the breathing zones of individual poultry-house employees as they caught the chickens ready to be transported for slaughter, were also analysed. Quantitative PCR (Q-PCR) was used to assess the quantity of total airborne bacteria and total airborne Staphylococcus species. Bioaerosol levels increased significantly during the fattening period of the chickens. During the task of catching mature birds, the mean inhalable dust concentration for a worker was 31 ± 4.7 mg/m3, and endotoxin concentration was 11'080 ± 3436 UE/m3 air, more than ten-fold higher than the Swiss occupational recommended value (1000 UE/m3). The mean exposure level of bird catchers to total bacteria and Staphylococcus species measured by Q-PCR is also very high, respectively reaching values of 72 (± 11) x107 cells/m3 air and 70 (± 16) x106/m3 air. It was concluded that in the absence of wearing protective breathing apparatus, chicken catchers in Switzerland risk exposure beyond recommended limits for all measured bioaerosol parameters. Moreover, the use of Q-PCR to estimate total and specific numbers of airborne bacteria is a promising tool for evaluating any modifications intended to improve the safety of current working practices.

Application of real-time PCR for total airborne bacterial assessment : comparison with epifluorescence microscopy and culture-dependent methods

Traditional culture-dependent methods to quantify and identify airborne microorganisms are limited by factors such as short-duration sampling times and inability to count nonculturableor non-viable bacteria. Consequently, the quantitative assessment of bioaerosols is often underestimated. Use of the real-time quantitative polymerase chain reaction (Q-PCR) to quantify bacteria in environmental samples presents an alternative method, which should overcome this problem. The aim of this study was to evaluate the performance of a real-time Q-PCR assay as a simple and reliable way to quantify the airborne bacterial load within poultry houses and sewage treatment plants, in comparison with epifluorescencemicroscopy and culture-dependent methods. The estimates of bacterial load that we obtained from real-time PCR and epifluorescence methods, are comparable, however, our analysis of sewage treatment plants indicate these methods give values 270-290 fold greater than those obtained by the ''impaction on nutrient agar'' method. The culture-dependent method of air impaction on nutrient agar was also inadequate in poultry houses, as was the impinger-culture method, which gave a bacterial load estimate 32-fold lower than obtained by Q-PCR. Real-time quantitative PCR thus proves to be a reliable, discerning, and simple method that could be used to estimate airborne bacterial load in a broad variety of other environments expected to carry high numbers of airborne bacteria. [Authors]

Predictive analysis and mapping of indoor radon concentrations in a complex environment using kernel estimation: an application to Switzerland.

PURPOSE: The aim of this study was to develop models based on kernel regression and probability estimation in order to predict and map IRC in Switzerland by taking into account all of the following: architectural factors, spatial relationships between the measurements, as well as geological information. METHODS: We looked at about 240,000 IRC measurements carried out in about 150,000 houses. As predictor variables we included: building type, foundation type, year of construction, detector type, geographical coordinates, altitude, temperature and lithology into the kernel estimation models. We developed predictive maps as well as a map of the local probability to exceed 300 Bq/m(3). Additionally, we developed a map of a confidence index in order to estimate the reliability of the probability map. RESULTS: Our models were able to explain 28% of the variations of IRC data. All variables added information to the model. The model estimation revealed a bandwidth for each variable, making it possible to characterize the influence of each variable on the IRC estimation. Furthermore, we assessed the mapping characteristics of kernel estimation overall as well as by municipality. Overall, our model reproduces spatial IRC patterns which were already obtained earlier. On the municipal level, we could show that our model accounts well for IRC trends within municipal boundaries. Finally, we found that different building characteristics result in different IRC maps. Maps corresponding to detached houses with concrete foundations indicate systematically smaller IRC than maps corresponding to farms with earth foundation. CONCLUSIONS: IRC mapping based on kernel estimation is a powerful tool to predict and analyze IRC on a large-scale as well as on a local level. This approach enables to develop tailor-made maps for different architectural elements and measurement conditions and to account at the same time for geological information and spatial relations between IRC measurements.