Biochemical characterization and analysis of gene expression of an α-mannosidase secreted by Paracoccidioides brasiliensis.

Paracoccidioidomycosis (PCM) is a systemic mycosis caused by fungi of the Paracoccidioides genus, being endemic in Latin America and with the highest number of cases in Brazil. Paracoccidioides spp. release a wide range of molecules, such as enzymes, which may be important for PCM establishment. Here, we identified the 85- and 90-kDa proteins from the supernatants of P. brasiliensis cultures as being an α-mannosidase. Because the expected mass of this α-mannosidase is 124.2-kDa, we suggest that the proteins were cleavage products. Indeed, we found an α-mannosidase activity in the culture supernatants among the excreted/secreted antigens (ESAg). Moreover, we determined that the enzyme activity was optimal in buffer at pH 5.6, at the temperature of 45ºC, and with a concentration of 3 mM of the substrate p-NP-α-D-Man. Remarkably, we showed that the gene expression of this α-mannosidase was higher in yeasts than hyphae in three P. brasiliensis isolates with different virulence degrees that were grown in Ham's F12 synthetic medium for 15 days. But in complex media YPD and Fava Netto, the significantly higher gene expression in yeasts than in hyphae was seen only for the virulent isolate Pb18, but not for intermediate virulence Pb339 and low virulence Pb265 isolates. These results about the high expression of the α-mannosidase gene in the pathogenic yeast form of P. brasiliensis open perspectives for studying this α-mannosidase concerning the virulence of P. brasiliensis isolates. LAY SUMMARY: Paracoccidioides brasiliensis causes deep mycosis, paracoccidioidomycosis. We determined for the first time the biochemical properties of an α-mannosidase released by this fungus. We suggest that the enzyme gene expression in the fungus is associated with fungal morphology, stress, and virulence.

Involvement of Dihydrolipoyl Dehydrogenase in the Phagocytosis and Killing of Paracoccidioides brasiliensis by Macrophages.

Paracoccidioides brasiliensis and Paracoccidioides lutzii are fungi causing paracoccidioidomycosis (PCM), an autochthonous systemic mycosis found in Latin America. These microorganisms contain a multitude of molecules that may be associated with the complex interaction of the fungus with the host. Here, we identify the enzyme dihydrolipoyl dehydrogenase (DLD) as an exoantigen from P. brasiliensis (Pb18_Dld) by mass spectrometry. Interestingly, the DLD gene expression in yeast form showed higher expression levels than those in mycelial form and transitional phases. Pb18_Dld gene was cloned, and the recombinant protein (rPb18_Dld) was expressed and purified for subsequent studies and production of antibodies. Immunogold labeling and transmission electron microscopy revealed that the Pb18_Dld is also localized in mitochondria and cytoplasm of P. brasiliensis. Moreover, when macrophages were stimulated with rPb18Dld, there was an increase in the phagocytic and microbicidal activity of these cells, as compared with non-stimulated cells. These findings suggest that Pb18_Dld can be involved in the pathogen-host interaction, opening possibilities for studies of this protein in PCM.

Fourier and wavelet spectral analysis of EMG signals in maximal constant load dynamic exercise.

Frequency domain analyses of changes in electromyographic (EMG) signals over time are frequently used to assess muscle fatigue. Fourier based approaches are typically used in these analyses, yet Fourier analysis assumes signal stationarity, which is unlikely during dynamic contractions. Wavelet based methods of signal analysis do not assume stationarity and may be more appropriate for joint time-frequency domain analysis. The purpose of this study was to compare Short-Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) in assessing muscle fatigue in maximal constant load dynamic exercise (100% W(max)). The results of this study indicate that CWT and STFT analyses give similar fatigue estimates (slope of median frequency) in maximal constant load dynamic exercise (P>0.05). However, the results of the variance was significantly lower for at least one of the muscles studied in CWT compared to STFT (P〈0.05) indicating more variability in the EMG signal analysis using STFT. Thus, the stationarity assumption may not be the sole factor responsible for affecting the Fourier based estimates.