Synergism of crude extracts and essential oils from medicinal plants with antimicrobial drugs

The emergence of resistant strains to conventional antimicrobial drugs has been constant as well as research aimed new alternatives of antibacterial agents. Therefore, considering that natural products have been an important potential source of new antimicrobial drugs, aim to verify the synergism by disk and time kill curve method between antimicrobials (extracts-Ext. and essential oils-EO) from four plant and eight antimicrobial drugs against Staphylococcus aureus and Escherichia coli strains from human specimens. The S. aures strains were highly susceptible with all plant antimicrobials (eg., 1.24 mg/ml with Vernonia polyanthes Ext. and 2.21 mg/ml with Eugenia uniflora EO for the Minimal Inhibitory Concentration-MIC). According disk method, the Bacharis dracunculifolia and V. polyanthes EO had synergism with all eight tested drugs while only Matricaria chamomilla Ext. showed synergism against S. aureus. The synergism was found with V. polyanthes and E. uniflora Ext. while M. chamomilla Ext. had antagonism against E. coli strains. By time kill curve, the bacterial growth inhibition was superior when drugs were tested alone and the synergism effect also was verified. The antagonism effect was detected only for E. coli strains and only with Ext. Results indicated the potential use of these products as coadjutants during treatment of infectious diseases.

Avaliação fitoquímica e microbiológica da espécia Artemisia annua L. submetida a tratamentos de armazenamento e condições de ambiente

The species Artemisia annua L. (Asteraceae) is native to China and has artemisinin as its main active component, substance that is considered a potent antimalarial drug. With the increased interest in natural active principles, studies related to post-harvest and storage of vegetable material become important for better conservation of its phytotherapic properties. Therefore, the present study had as objectivedefine the best storage conditions to preserve and keep the quality of phytotherapic drugs. Leaves of A. annua dried were stored for six months in polyethylene bags wrapped in Kraft paper and packed in four treatments: at ambient condition, refrigerated at 4 ± 2 oC, using normal packing, and using vacuum packing. Samples were taken for microbiological, moisture content, and level of artemisinin analyses before the experiment begun and at 30, 90, 120 and 180 days. The results of microbiological tests showed no significant contamination, as well as the moisture content of the stored (biological) material, which remain between 5% and 10%, keeping within acceptable parameters. The ambient without vacuum treatment (SVA) was the treatment that better maintained the sample stability during 180 days, however, the refrigerated without vacuum (SVR) showed greater efficiency to conserve the content of artemisinin.

Phenolic compounds influence seed dormancy of palicourea rigida h.b.k. (rubiaceae), a medicinal plant of the brazilian savannah

Palicourea rigida H.B.K. (Rubiaceae), a medicinal species commonly known as douradinha, has wide distribution across ecosystems in Central and South America. This species exhibits seed dormancy delaying germination until optimal conditions for seedling growth and development are in place. While dormancy ensures species survival, it also presents a technical problem for developing P. rigida’s plant production program. Thus, the objective of this study was to investigate if secondary metabolites present in seeds influence the seed dormancy of P. rigida. Mature fruits were harvested from the native habitat, in the savanna region of the State of Minas Gerais during February 2009, 2010 and 2011. The content of phenolic compounds in the seed of P. rigida was measured, and the allelopathic effects were assessed using the germination of lettuces as model to detect phytotoxicity. The P. rigida seeds geminated at rates varying between 7% and 31% with a Seed Germination Index (SGI) of 0.09. Data suggest that the phenolic compounds present in the seeds may be responsible for seed dormancy.

Cultivation and bromatological analysis of the medicinal mushroom Ganoderma lucidum (Curt.: Fr.) P. Karst cultivated in agricultural waste

The objective of the study was to evaluate the production of two strains of Ganoderma lucidum on agricultural waste and carry out bromatological analyses of the basidiomata obtained from the cultivation. The experiment was carried out at the Mushroom Module at the School of Agronomic Sciences of the São Paulo State University (FCA/UNESP - Botucatu, SP, Brazil) and two strains were used (GLM-09/01 and GLM-10/02) which were cultivated on waste, oat straw, bean straw, brachiaria grass straw, Tifton grass straw and eucalyptus sawdust under two situations: with (20%) and without (0%) supplementation with wheat bran. All the waste was taken from dumps of agricultural activities in Botucatu-SP. Both treatments were carried out in 10 repetitions, totaling 200 packages. The mushrooms cultivation took 90 days. Next, the biological efficiency of the treatments and the bromatological analysis of the basidiomata were evaluated. The biological efficiency (BE) values (%) varied from 0.0 to 6.7%. In the mushroom bromatological analyses, the results ranged from 8.7 to 13.7%, from 2.0 to 6.7%, from 0.83 to 1.79% and from 38.8 to 54.5%, for total protein, ethereal extract, ash and crude fiber, respectively. Thus, we conclude that the substrates which presented the greater yield were the brachiaria straw, 20% in both strains tested (GLM-09/01 and GLM-10/02) and the bean straw, 20% in the strain GLM-10/02. The mushrooms showed high levels of ethereal extract, fibers and ashes and a low level of proteins.

Efeito imunomodulatório e controle da infecção fúngica do extrato de alho (Allium sativum L.) em modelo murino de esporotricose

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Documentação química de espécies do gênero Casearia (Salicaceae) de importância ecológica, econômica e medicinal

The Casearia genus (Salicaceae) is well known because of the medicinal use of its species. Among them, a noteworthy one is the C. sylvestris specie because it already has studies concerning its antiproliferative and/or cytotoxic activity in tumor cells. Furthermore, this specie is popularly used against snake bites, in gastric ulcers treatment and as anti-inflammatory. As well as this, there are other species from this same genus which have been poorly studied, such as the following species: C. decandra, C. grandiflora, C. javitensis, C. arborea, C. lasiophylla and C. ulmifolia. However, several biological activities have been reported for them. In this context, the aim of this project, besides of contributing to the Casearia genus studies, is to study those six species through the analysis and documentation of their leaves' chemical composition (aqueous, ethanolic and hexanic extracts), using analytical separation techniques coupled with spectroscopic techniques, such as UHPLC-DAD, GC-MS and NMR 1H, which will assist the identification of new secondary metabolites in this genus. Moreover, another goal of this present work is aiming the bioprospection of substances with medicinal and economical potential and finally promote the systematic study of some biological activities, such as antimicrobial and cytotoxicity bioassays. A wide variety of metabolites was identified in those three types of extracts, being most of them detected for the first time in Casearia genus, highlighting C. lasiophylla and C. decandra for featuring antimicrobial activity against Staphylococcus aureus.

Documentação química de espécies do gênero Casearia (Salicaceae) de importância ecológica, econômica e medicinal

The Casearia genus (Salicaceae) is well known because of the medicinal use of its species. Among them, a noteworthy one is the C. sylvestris specie because it already has studies concerning its antiproliferative and/or cytotoxic activity in tumor cells. Furthermore, this specie is popularly used against snake bites, in gastric ulcers treatment and as anti-inflammatory. As well as this, there are other species from this same genus which have been poorly studied, such as the following species: C. decandra, C. grandiflora, C. javitensis, C. arborea, C. lasiophylla and C. ulmifolia. However, several biological activities have been reported for them. In this context, the aim of this project, besides of contributing to the Casearia genus studies, is to study those six species through the analysis and documentation of their leaves' chemical composition (aqueous, ethanolic and hexanic extracts), using analytical separation techniques coupled with spectroscopic techniques, such as UHPLC-DAD, GC-MS and NMR 1H, which will assist the identification of new secondary metabolites in this genus. Moreover, another goal of this present work is aiming the bioprospection of substances with medicinal and economical potential and finally promote the systematic study of some biological activities, such as antimicrobial and cytotoxicity bioassays. A wide variety of metabolites was identified in those three types of extracts, being most of them detected for the first time in Casearia genus, highlighting C. lasiophylla and C. decandra for featuring antimicrobial activity against Staphylococcus aureus.

Representation of the Weddell Sea deep water masses in the ocean component of the NCAR-CCSM model

We examine Weddell Sea deep water mass distributions with respect to the results from three different model runs using the oceanic component of the National Center for Atmospheric Research Community Climate System Model (NCAR-CCSM). One run is inter-annually forced by corrected NCAR/NCEP fluxes, while the other two are forced with the annual cycle obtained from the same climatology. One of the latter runs includes an interactive sea-ice model. Optimum Multiparameter analysis is applied to separate the deep water masses in the Greenwich Meridian section (into the Weddell Sea only) to measure the degree of realism obtained in the simulations. First, we describe the distribution of the simulated deep water masses using observed water type indices. Since the observed indices do not provide an acceptable representation of the Weddell Sea deep water masses as expected, they are specifically adjusted for each simulation. Differences among the water masses` representations in the three simulations are quantified through their root-mean-square differences. Results point out the need for better representation (and inclusion) of ice-related processes in order to improve the oceanic characteristics and variability of dense Southern Ocean water masses in the outputs of the NCAR-CCSM model, and probably in other ocean and climate models.

Identification of multi-component trail pheromones in the most evolutionarily derived termites, the Nasutitermitinae (Termitidae)

In the present study, trail pheromone blends are identified for the first time in termites. In the phylogenetically complex Nasutitermitinae, trail-following pheromones are composed of dodecatrienol and neocembrene, the proportions of which vary according to species, although neocembrene is always more abundant than dodecatrienol (by 25-250-fold). Depending on species, termites were more sensitive to dodecatrienol or to neocembrene but the association of both components always elicited significantly higher trail following, with a clear synergistic effect in most of the studied species. A third component, trinervitatriene, was identified in the sternal gland secretion of several species, but its function remains unknown. The secretion of trail pheromone blends appears to be an important step in the evolution of chemical communication in termites. The pheromone optimizes foraging, and promotes their ecological success. (C) 2010 The Linnean Society of London, Biological Journal of the Linnean Society, 2010, 99, 20-27.

Genotype x location x feeding interactions in Nellore cattle calculated through three-mode principal component analysis

The main objective of this study was to apply three-mode principal component analysis to assess the triple interaction (genotype x location x feeding) on direct genetic value for weight at 205 days of age. We used 60 sires with offspring in three regions of northeastern Brazil (Maranhao, Mata and Agreste, and Reconcavo Baiano) and raised on a pasture regime or with supplementation. There was no interaction between genotype and location, but there was a correlation between genotype and direct effect of feeding. The use of sires should be dictated according to the system of rearing of their offspring.

A novel method for power quality multiple disturbance decomposition based on Independent Component Analysis

In this paper, a novel method for power quality signal decomposition is proposed based on Independent Component Analysis (ICA). This method aims to decompose the power system signal (voltage or current) into components that can provide more specific information about the different disturbances which are occurring simultaneously during a multiple disturbance situation. The ICA is originally a multichannel technique. However, the method proposes its use to blindly separate out disturbances existing in a single measured signal (single channel). Therefore, a preprocessing step for the ICA is proposed using a filter bank. The proposed method was applied to synthetic data, simulated data, as well as actual power system signals, showing a very good performance. A comparison with the decomposition provided by the Discrete Wavelet Transform shows that the proposed method presented better decoupling for the analyzed data. (C) 2012 Elsevier Ltd. All rights reserved.

Discrimination of Basal Cell Carcinoma and Melanoma from Normal Skin Biopsies in Vitro Through Raman Spectroscopy and Principal Component Analysis

Objective: Raman spectroscopy has been employed to discriminate between malignant (basal cell carcinoma [BCC] and melanoma [MEL]) and normal (N) skin tissues in vitro, aimed at developing a method for cancer diagnosis. Background data: Raman spectroscopy is an analytical tool that could be used to diagnose skin cancer rapidly and noninvasively. Methods: Skin biopsy fragments of similar to 2 mm(2) from excisional surgeries were scanned through a Raman spectrometer (830 nm excitation wavelength, 50 to 200 mW of power, and 20 sec exposure time) coupled to a fiber optic Raman probe. Principal component analysis (PCA) and Euclidean distance were employed to develop a discrimination model to classify samples according to histopathology. In this model, we used a set of 145 spectra from N (30 spectra), BCC (96 spectra), and MEL (19 spectra) skin tissues. Results: We demonstrated that principal components (PCs) 1 to 4 accounted for 95.4% of all spectral variation. These PCs have been spectrally correlated to the biochemicals present in tissues, such as proteins, lipids, and melanin. The scores of PC2 and PC3 revealed statistically significant differences among N, BCC, and MEL (ANOVA, p < 0.05) and were used in the discrimination model. A total of 28 out of 30 spectra were correctly diagnosed as N, 93 out of 96 as BCC, and 13 out of 19 as MEL, with an overall accuracy of 92.4%. Conclusions: This discrimination model based on PCA and Euclidean distance could differentiate N from malignant (BCC and MEL) with high sensitivity and specificity.

Targeting the Transposase Domain of the DNA Repair Component Metnase to Enhance Chemotherapy

Previous studies have shown that the DNA repair component Metnase (SETMAR) mediates resistance to DNA damaging cancer chemotherapy. Metnase has a nuclease domain that shares homology with the Transposase family. We therefore virtually screened the tertiary Metnase structure against the 550,000 compound ChemDiv library to identify small molecules that might dock in the active site of the transposase nuclease domain of Metnase. We identified eight compounds as possible Metnase inhibitors. Interestingly, among these candidate inhibitors were quinolone antibiotics and HIV integrase inhibitors, which share common structural features. Previous reports have described possible activity of quinolones as antineoplastic agents. Therefore, we chose the quinolone ciprofloxacin for further study, based on its wide clinical availability and low toxicity. We found that ciprofloxacin inhibits the ability of Metnase to cleave DNA and inhibits Metnase-dependent DNA repair. Ciprofloxacin on its own did not induce DNA damage, but it did reduce repair of chemotherapy-induced DNA damage. Ciprofloxacin increased the sensitivity of cancer cell lines and a xenograft tumor model to clinically relevant chemotherapy. These studies provide a mechanism for the previously postulated antineoplastic activity of quinolones, and suggest that ciprofloxacin might be a simple yet effective adjunct to cancer chemotherapy. Cancer Res; 72(23); 6200-8. (C) 2012 AACR.

Reference model for implementing an MRP system in a highly diverse component and seasonal lean production environment

Companies are currently choosing to integrate logics and systems to achieve better solutions. These combinations also include companies striving to join the logic of material requirement planning (MRP) system with the systems of lean production. The purpose of this article was to design an MRP as part of the implementation of an enterprise resource planning (ERP) in a company that produces agricultural implements, which has used the lean production system since 1998. This proposal is based on the innovation theory, theory networks, lean production systems, ERP systems and the hybrid production systems, which use both components and MRP systems, as concepts of lean production systems. The analytical approach of innovation networks enables verification of the links and relationships among the companies and departments of the same corporation. The analysis begins with the MRP implementation project carried out in a Brazilian metallurgical company and follows through the operationalisation of the MRP project, until its production stabilisation. The main point is that the MRP system should help the company's operations with regard to its effective agility to respond in time to demand fluctuations, facilitating the creation process and controlling the branch offices in other countries that use components produced in the matrix, hence ensuring more accurate estimates of stockpiles. Consequently, it presents the enterprise knowledge development organisational modelling methodology in order to represent further models (goals, actors and resources, business rules, business process and concepts) that should be included in this MRP implementation process for the new configuration of the production system.