Wild animals as sentinels of Paracoccidioides brasiliensis in the state of Rio Grande do Sul, Brazil.

Paracoccidioides brasiliensis, a dimorphic pathogenic fungus, causes the principal form of systemic mycosis in Brazil. The literature furnishes only limited data on the ecology of this fungus in the state of Rio Grande do Sul, the southernmost state of Brazil. The purpose of this study was to evaluate the prevalence of fungal infection in wild animals, using serological tests and using the animals as sentinels of the presence of P. brasiliensis in three specified mesoregions of Rio Grande do Sul. A total of 128 wild animals from the three mesoregions were included in the study. The serum samples were evaluated by immunodiffusion and the enzyme-linked immunosorbent assay (ELISA) technique to detect anti-gp43 antibodies from P. brasiliensis. Two conjugates were tested and compared with the ELISA technique. Although no positive samples were detected by immunodiffusion, 26 animals (20%), belonging to 13 distinct species, were found to be seropositive by the ELISA technique. The seropositive animals were from two mesoregions of the state. The results were similar according to the gender, age, and family of the animals, but differed significantly according to the conjugate used (p < 0.001), showing more sensitivity to protein A-peroxidase than to protein G-peroxidase. The finding that wild animals from the state of Rio Grande do Sul are exposed to P. brasiliensis suggests that the fungus can be found in this region despite the often-rigorous winters, which frequently include below-freezing temperatures.

A concept for detecting unexpected changes in the environment early.

A project was established under the auspices of the German Federal Ministry of Research and Technology with the task of developing a concept for the early recognition of signals for unexpected deleterious changes in the environment. Predictive assessments of products (e.g., chemicals) and technologies as regards their potential environmental impacts contain numerous sources of error and uncertainties. Therefore, appropriate observation systems are needed in order to detect unexpected developments in the environment and in human health. Long-term storage of samples (environmental specimen banking) is the third basic activity that must be undertaken within an early warning system. When monitoring the environment for unwanted changes, it is not sufficient to trace some individual agents, preselected for their well-known capacity to inflict harm. The following avenues of identifying symptoms of change in the environment were identified: development and deployment of "key indicators"; acquisition and correlative treatment of conventional monitoring data from different sources; and execution of concise studies in environmental problem areas. Key indicators are defined as scientific measurement and observation methods which respond to early stages of anthropogenically induced environmental changes and are capable of responding to a multitude of simultaneously present agents. A series of examples is discussed. Approaches concerning how the statistical evaluation of available sets of environment-related data could reveal unexpected developments are presented.