Avaliação do papel da glutationa e do vacúolo como mecanismos de defesa contra a toxicidade induzida pelo chumbo na levedura Saccharomyces cerevisiae

A presença de metais pesados no meio ambiente deve-se, principalmente, a actividades antropogénicas. Ao contrário do Cu e do Zn, que em baixas concentrações são essenciais para o normal funcionamento celular, não se conhece para o chumbo nenhuma função biológica. O chumbo apresenta efeitos tóxicos, e considerado possível agente carcinogéneo, sendo classificado como poluente prioritário pela Agencia de Protecção Ambiental dos EUA (US-EPA). O presente trabalho teve como objetivo avaliar o papel da glutationa e do vacúolo, como mecanismos de defesa, contra os efeitos tóxicos induzidos pelo chumbo, usando como modelo a levedura Saccharomyces cerevisiae. A levedura S. cerevisiae quando exposta a varias concentrações de chumbo, durante 3h, perde a viabilidade e acumula espécies reativas de oxigénio (ROS). O estudo comparativo da perda de viabilidade e acumulação de ROS em células de uma estirpe selvagem (WT) e de estirpes mutantes, incapazes de produzir glutationa devido a uma deficiência no gene GSH1 (gsh1) ou GSH2 (gsh2) mostrou que as estirpes gsh1 ou(gsh2 não apresentavam um aumento da sensibilidade ao efeito toxico do chumbo. No entanto, o tratamento de células da estirpe WT com iodoacetamida (um agente alquilante que induz a depleção de glutationa) aumentou a sensibilidade das células a presença de chumbo. Pelo contrário, o enriquecimento em GSH, através da incubação de células WT com glucose e uma mistura de aminoácidos que constituem a GSH (acido L-glutâmico, L-cisteína e glicina), reduziu o stress oxidativo e a perda de viabilidade induzida por chumbo. A importância do vacúolo, como mecanismo de defesa, foi avaliada através da utilização de um mutante sem qualquer estrutura vacuolar (vps16) ou de mutantes deficientes na subunidade catalítica A (vma1) ou B (vma2) ou no proteolítico - subunidade C (vma3) da V-ATPase. As células da estirpe ƒ´vps16 apresentaram uma elevada suscetibilidade a presença de chumbo. As células das estirpes deficientes na subunidade A, B ou c da V-ATPase, apresentaram uma maior perda de viabilidade, quando expostas a chumbo, do que as células da estirpe WT, mas menor do que a da estirpe vps16 Em conclusão, os resultados obtidos, no seu conjunto, sugerem que a glutationa esta envolvida na defesa contra a toxicidade provocada por chumbo; todavia, a glutationa, por si só, parece não ser suficiente para suster o stress oxidativo e a perda de viabilidade induzida por chumbo. O vacúolo parece constituir um importante mecanismo de defesa contra a toxicidade provocada por chumbo. A V-ATPase parece estar envolvida na compartimentação de chumbo no vacúolo.

On the numerical computation of the Mittag-Leffler function

Recently simple limiting functions establishing upper and lower bounds on the Mittag-Leffler function were found. This paper follows those expressions to design an efficient algorithm for the approximate calculation of expressions usual in fractional-order control systems. The numerical experiments demonstrate the superior efficiency of the proposed method.

Application of Continuous Wavelet Transform to the Analysis of the Modulus of the Fractional Fourier Transform Bands for Resolving Two Component Mixture

In this paper, the fractional Fourier transform (FrFT) is applied to the spectral bands of two component mixture containing oxfendazole and oxyclozanide to provide the multicomponent quantitative prediction of the related substances. With this aim in mind, the modulus of FrFT spectral bands are processed by the continuous Mexican Hat family of wavelets, being denoted by MEXH-CWT-MOFrFT. Four modulus sets are obtained for the parameter a of the FrFT going from 0.6 up to 0.9 in order to compare their effects upon the spectral and quantitative resolutions. Four linear regression plots for each substance were obtained by measuring the MEXH-CWT-MOFrFT amplitudes in the application of the MEXH family to the modulus of the FrFT. This new combined powerful tool is validated by analyzing the artificial samples of the related drugs, and it is applied to the quality control of the commercial veterinary samples.

Analysis of Systems with Backlash and Impacts through the Describing Function

This paper analyses the dynamical properties of systems with backlash and impact phenomena based on the describing function method. The dynamics is illustrated using the Nyquist and Bode plots and the results are compared with those of standard models.

Rat muscle opacity decrease due to the osmosis of a simple mixture

It is known that the fibrous structure of muscle causes light scattering. This phenomenon occurs due to the refractive index discontinuities located between muscle fibers and interstitial fluid. To study the possibility of reducing light scattering inside muscle, we consider its spectral transmittance evolution during an immersion treatment with an optical clearing solution containing ethanol, glycerol, and distilled water. Our methodology consists of registering spectral transmittance of muscle samples while immersed in that solution. With the spectral data collected, we represent the transmittance evolution for some wavelengths during the treatment applied. Additionally, we study the variations that the treatment has caused on the samples regarding tissue refractive index and mass. By analyzing microscopic photographs of tissue cross section, we can also verify changes in the internal arrangement of muscle fibers caused by the immersion treatment. Due to a mathematical model that we develop, we can explain the variations observed in the studied parameters and estimate the amount of optical clearing agent that has diffused into the tissue samples during the immersion treatment. At the end of the study, we observe and explain the improvement in tissue spectral transmittance, which is approximately 65% after 20 min.

Adaptive Penalty and Barrier function based on Fuzzy Logic

Optimization methods have been used in many areas of knowledge, such as Engineering, Statistics, Chemistry, among others, to solve optimization problems. In many cases it is not possible to use derivative methods, due to the characteristics of the problem to be solved and/or its constraints, for example if the involved functions are non-smooth and/or their derivatives are not know. To solve this type of problems a Java based API has been implemented, which includes only derivative-free optimization methods, and that can be used to solve both constrained and unconstrained problems. For solving constrained problems, the classic Penalty and Barrier functions were included in the API. In this paper a new approach to Penalty and Barrier functions, based on Fuzzy Logic, is proposed. Two penalty functions, that impose a progressive penalization to solutions that violate the constraints, are discussed. The implemented functions impose a low penalization when the violation of the constraints is low and a heavy penalty when the violation is high. Numerical results, obtained using twenty-eight test problems, comparing the proposed Fuzzy Logic based functions to six of the classic Penalty and Barrier functions are presented. Considering the achieved results, it can be concluded that the proposed penalty functions besides being very robust also have a very good performance.