Exposure and risk assessment in occupational exposure to fungi: aspects to consider in highly contaminated settings

Although a clear correlation between levels of fungi in the air and health impacts has not been shown in epidemiological studies, fungi must be regarded as potential occupational health hazards. Fungi can have an impact on human health in four different ways: (1) they can infect humans, (2) they may act as allergens, (3) they can be toxigenic, or (4) they may cause inflammatory reactions. Fungi of concern in occupational hygiene are mostly non-pathogenic or facultative pathogenic (opportunistic) species, but are relevant as allergens and mycotoxins producers. It is known that the exclusive use of conventional methods for fungal quantification (fungal culture) may underestimate the results due to different reasons. The incubation temperature chosen will not be the most suitable for every fungal species, resulting in the inhibition of some species and the favouring of others. Differences in fungi growth rates may also result in data underestimation, since the fungal species with higher growth rates may inhibit others species’ growth. Finally, underestimated data can result from non-viable fungal particles that may have been collected or fungal species that do not grow in the culture media used, although these species may have clinical relevance in the context. Due to these constraints occupational exposure assessment, in setings with high fungal contamination levels, should follow these steps: Apply conventional methods to obtain fungal load information (air and surfaces) regarding the most critical scenario previously selected; Guideline comparation aplying or legal requirements or suggested limits by scientific and/or technical organizations. We should also compare our results with others from the same setting (if there is any); Select the most suitable indicators for each setting and apply conventional-culture methods and also molecular tools. These methodology will ensure a more real characterization of fungal burden in each setting and, consequently, permits to identify further measures regarding assessment of fungal metabolites, and also a more adequate workers health surveillance. The methodology applied to characterize fungal burden in several occupational environments, focused in Aspergillus spp. prevalence, will be present and discussed.

Estudo comparativo de procedimentos experimentais e computacionais para cálculo da lipofilia molecular

Introdução – A lipofilia é uma das propriedades físico-químicas que mais influencia a capacidade de uma molécula se movimentar através de compartimentos biológicos. O coeficiente de partição octanol/água (log P) permite, assim, obter uma estimativa da absorção dos fármacos no organismo. A existência de métodos indirectos para um cálculo rápido do log P pode revelar-se de grande importância na análise de listas de compostos com potencial acção farmacológica, reduzindo-as àqueles que se prevêem ter um melhor comportamento biológico. Objectivos – O propósito deste estudo é dar a conhecer um método cromatográfico de RP-HPLC desenvolvido para a determinação indirecta da lipofilia molecular e avaliar a performance de vários programas de cálculo computacional desse mesmo parâmetro. Metodologias – Seleccionaram-se 25 compostos químicos, avaliou-se o log P de cada um deles por RP-HPLC e confrontaram-se os resultados obtidos com os de sete programas computacionais. Resultados – O método RP-HPLC testado demonstrou ser vantajoso em comparação com o convencional shake flask. O programa de cálculo indirecto que proporcionou resultados mais próximos dos experimentais foi o ALOGPS© 2.1. Conclusões – A escolha ideal para a determinação da lipofilia de compostos cujo log P estimado esteja entre 0 e 6 é, sobretudo no que diz respeito à rapidez e simplicidade do processo, o método experimental indirecto RP-HPLC. Quanto aos métodos computacionais concluiu-se que nenhum dos programas, incluindo o ALOGPS© 2.1, demonstrou ser eficaz na avaliação de isómeros pelo que, para estes compostos, será sempre necessário recorrer ao método shake flask ou RP-HPLC.