Localization of nonbacktracking centrality on dense subgraphs of sparse networks.

The nonbacktracking matrix and the related nonbacktracking centrality (NBC) play a crucial role in models of percolation-type processes on networks, such as nonrecurrent epidemics. Here we study the localization of NBC in infinite sparse networks that contain an arbitrary finite subgraph. Assuming the local tree likeness of the enclosing network, and that branches emanating from the finite subgraph do not intersect at finite distances, we show that the largest eigenvalue of the nonbacktracking matrix of the composite network is equal to the highest of the two largest eigenvalues: that of the finite subgraph and of the enclosing network. In the localized state, when the largest eigenvalue of the subgraph is the highest of the two, we derive explicit expressions for the NBCs of nodes in the subgraph and other nodes in the network. In this state, nonbacktracking centrality is concentrated on the subgraph and its immediate neighborhood in the enclosing network. We obtain simple, exact formulas in the case where the enclosing network is uncorrelated. We find that the mean NBC decays exponentially around the finite subgraph, at a rate which is independent of the structure of the enclosing network, contrary to what was found for the localization of the principal eigenvector of the adjacency matrix. Numerical simulations confirm that our results provide good approximations even in moderately sized, loopy, real-world networks.

Sync and Swarm: Solvable Model of Nonidentical Swarmalators.

We study a model of nonidentical swarmalators, generalizations of phase oscillators that both sync in time and swarm in space. The model produces four collective states: asynchrony, sync clusters, vortexlike phase waves, and a mixed state. These states occur in many real-world swarmalator systems such as biological microswimmers, chemical nanomotors, and groups of drones. A generalized Ott-Antonsen ansatz provides the first analytic description of these states and conditions for their existence. We show how this approach may be used in studies of active matter and related disciplines.

Hidden transition in multiplex networks.

Weak multiplex percolation generalizes percolation to multi-layer networks, represented as networks with a common set of nodes linked by multiple types (colors) of edges. We report a novel discontinuous phase transition in this problem. This anomalous transition occurs in networks of three or more layers without unconnected nodes, [Formula: see text]. Above a critical value of a control parameter, the removal of a tiny fraction [Formula: see text] of nodes or edges triggers a failure cascade which ends either with the total collapse of the network, or a return to stability with the system essentially intact. The discontinuity is not accompanied by any singularity of the giant component, in contrast to the discontinuous hybrid transition which usually appears in such problems. The control parameter is the fraction of nodes in each layer with a single connection, [Formula: see text]. We obtain asymptotic expressions for the collapse time and relaxation time, above and below the critical point [Formula: see text], respectively. In the limit [Formula: see text] the total collapse for [Formula: see text] takes a time [Formula: see text], while there is an exponential relaxation below [Formula: see text] with a relaxation time [Formula: see text].

Approximating nonbacktracking centrality and localization phenomena in large networks.

Message-passing theories have proved to be invaluable tools in studying percolation, nonrecurrent epidemics, and similar dynamical processes on real-world networks. At the heart of the message-passing method is the nonbacktracking matrix, whose largest eigenvalue, the corresponding eigenvector, and the closely related nonbacktracking centrality play a central role in determining how the given dynamical model behaves. Here we propose a degree-class-based method to approximate these quantities using a smaller matrix related to the joint degree-degree distribution of neighboring nodes. Our findings suggest that in most networks, degree-degree correlations beyond nearest neighbor are actually not strong, and our first-order description already results in accurate estimates, particularly when message-passing itself is a good approximation to the original model in question, that is, when the number of short cycles in the network is sufficiently low. We show that localization of the nonbacktracking centrality is also captured well by our scheme, particularly in large networks. Our method provides an alternative to working with the full nonbacktracking matrix in very large networks where this may not be possible due to memory limitations.

A data-driven model for COVID-19 pandemic - Evolution of the attack rate and prognosis for Brazil.

We introduce a compartmental model SEIAHRV (Susceptible, Exposed, Infected, Asymptomatic, Hospitalized, Recovered, Vaccinated) with age structure for the spread of the SARAS-CoV virus. In order to model current different vaccines we use compartments for individuals vaccinated with one and two doses without vaccine failure and a compartment for vaccinated individual with vaccine failure. The model allows to consider any number of different vaccines with different efficacies and delays between doses. Contacts among age groups are modeled by a contact matrix and the contagion matrix is obtained from a probability of contagion p c per contact. The model uses known epidemiological parameters and the time dependent probability p c is obtained by fitting the model output to the series of deaths in each locality, and reflects non-pharmaceutical interventions. As a benchmark the output of the model is compared to two good quality serological surveys, and applied to study the evolution of the COVID-19 pandemic in the main Brazilian cities with a total population of more than one million. We also discuss with some detail the case of the city of Manaus which raised special attention due to a previous report of We also estimate the attack rate, the total proportion of cases (symptomatic and asymptomatic) with respect to the total population, for all Brazilian states since the beginning of the COVID-19 pandemic. We argue that the model present here is relevant to assessing present policies not only in Brazil but also in any place where good serological surveys are not available.

Impact of field heterogeneity on the dynamics of the forced Kuramoto model.

We studied the impact of field heterogeneity on entrainment in a system of uniformly interacting phase oscillators. Field heterogeneity is shown to induce dynamical heterogeneity in the system. In effect, the heterogeneous field partitions the system into interacting groups of oscillators that feel the same local field strength and phase. Based on numerical and analytical analysis of the explicit dynamical equations derived from the periodically forced Kuramoto model, we found that the heterogeneous field can disrupt entrainment at different field frequencies when compared to the homogeneous field. This transition occurs when the phase- and frequency-locked synchronization between groups of oscillators is broken at a critical field frequency, causing each group to enter a new dynamical state (disrupted state). Strikingly, it is shown that disrupted dynamics can differ between groups.

Enhanced robustness of single-layer networks with redundant dependencies.

Dependency links in single-layer networks offer a convenient way of modeling nonlocal percolation effects in networked systems where certain pairs of nodes are only able to function together. We study the percolation properties of the weak variant of this model: Nodes with dependency neighbors may continue to function if at least one of their dependency neighbors is active. We show that this relaxation of the dependency rule allows for more robust structures and a rich variety of critical phenomena, as percolation is not determined strictly by finite dependency clusters. We study Erdos-Rényi and random scale-free networks with an underlying Erdos-Rényi network of dependency links. We identify a special "cusp" point above which the system is always stable, irrespective of the density of dependency links. We find continuous and discontinuous hybrid percolation transitions, separated by a tricritical point for Erdos-Rényi networks. For scale-free networks with a finite degree cutoff we observe the appearance of a critical point and corresponding double transitions in a certain range of the degree distribution exponent. We show that at a special point in the parameter space, where the critical point emerges, the giant viable cluster has the unusual critical singularity S-S_{c}∝(p-p_{c})^{1/4}. We study the robustness of networks where connectivity degrees and dependency degrees are correlated and find that scale-free networks are able to retain their high resilience for strong enough positive correlation, i.e., when hubs are protected by greater redundancy.

Filtering Statistics on Networks.

Compression, filtering, and cryptography, as well as the sampling of complex systems, can be seen as processing information. A large initial configuration or input space is nontrivially mapped to a smaller set of output or final states. We explored the statistics of filtering of simple patterns on a number of deterministic and random graphs as a tractable example of such information processing in complex systems. In this problem, multiple inputs map to the same output, and the statistics of filtering is represented by the distribution of this degeneracy. For a few simple filter patterns on a ring, we obtained an exact solution of the problem and numerically described more difficult filter setups. For each of the filter patterns and networks, we found three key numbers that essentially describe the statistics of filtering and compared them for different networks. Our results for networks with diverse architectures are essentially determined by two factors: whether the graphs structure is deterministic or random and the vertex degree. We find that filtering in random graphs produces much richer statistics than in deterministic graphs, reflecting the greater complexity of such graphs. Increasing the graph's degree reduces this statistical richness, while being at its maximum at the smallest degree not equal to two. A filter pattern with a strong dependence on the neighbourhood of a node is much more sensitive to these effects.

Choosing among alternative histories of a tree.

The structure of an evolving network contains information about its past. Extracting this information efficiently, however, is, in general, a difficult challenge. We formulate a fast and efficient method to estimate the most likely history of growing trees, based on exact results on root finding. We show that our linear-time algorithm produces the exact stepwise most probable history in a broad class of tree growth models. Our formulation is able to treat very large trees and therefore allows us to make reliable numerical observations regarding the possibility of root inference and history reconstruction in growing trees. We obtain the general formula 〈lnN〉≅NlnN-cN for the size dependence of the mean logarithmic number of possible histories of a given tree, a quantity that largely determines the reconstructability of tree histories. We also reveal an uncertainty principle: a relationship between the inferability of the root and that of the complete history, indicating that there is a tradeoff between the two tasks; the root and the complete history cannot both be inferred with high accuracy at the same time.

Exotic critical behavior of weak multiplex percolation.

We describe the critical behavior of weak multiplex percolation, a generalization of percolation to multiplex or interdependent networks. A node can determine its active or inactive status simply by referencing neighboring nodes. This is not the case for the more commonly studied generalization of percolation to multiplex networks, the mutually connected clusters, which requires an interconnecting path within each layer between any two vertices in the giant mutually connected component. We study the emergence of a giant connected component of active nodes under the weak percolation rule, finding several nontypical phenomena. In two layers, the giant component emerges with a continuous phase transition, but with quadratic growth above the critical threshold. In three or more layers, a discontinuous hybrid transition occurs, similar to that found in the giant mutually connected component. In networks with asymptotically powerlaw degree distributions, defined by the decay exponent γ, the discontinuity vanishes but at γ=1.5 in three layers, more generally at γ=1+1/(M-1) in M layers.

Applicability of the Platelia EIA® Aspergillus test for the diagnosis of aspergilosis in penguins / Aplicabilidade do Platelia EIA® Aspergillus como teste diagnostico da aspergilose em pinguins

Abstract Even today, an effective diagnostic test for aspergillosis in penguins is unknown, being the gold standard post-mortem examinations. The fungal antigen galactomannan (GM) has been used as a biomarker of disease in humans and is detected by the Platelia Aspergillus EIA (BioRad)®, a commercial kit based on the sandwich ELISA technique. It is standardized for use in neutropenic patients, however studies have demonstrated its usefulness also possible for birds. The aim of our study was to evaluate the effectiveness of Platelia Aspergillus EIA® test (BioRad-US) in the diagnosis of aspergillosis in Magellanic penguins, determining sensitivity, specificity, and positive and negative predictive values for different cut-off points. Were included in the study, blood serum samples (n = 29) Magellanic penguins in captivity that died by aspergillosis. Detection of GM was performed following manufacturer's instructions and the GM index was obtained by dividing the average value of OD of the duplicate of the clinical sample by duplicate OD of the average value of the cut-off sample provided by the kit. Through information database results were obtained for the presence of anti-Aspergillus fumigatus antibodies detected by agar gel immunodiffusion (AGID) for all serum samples. Results were analyzed using chi-square test and Kruskal-Wallis from SPSS 20.0, IBM®. ROC curve was obtained and from this, rates of sensitivity, specificity, positive and negative predictive values were also calculated based on four different cutoff points (0.5, 1.0, 1.5 and 2.0). The serum GM index did not differ between animals of the case and control group (pkw =0.097). In determining the ROC curve for serum GM detection the value of area under the curve was 0.635. From the values ​​determined by the coordinate of the curve, four different cut points (0.5, 1.0, 1.5 and 2.0) were analyzed, resulting in sensitivity rates ranging from 86.2 to 34.5% % and specificity between 87% and 26.1%. By comparing the serum GM index in group case as the presence or absence of antibodies detected by AGID was found p=0.503. The detection of GM the Platelia Aspergillus EIA® test seems is not be useful for the diagnosis of aspergillosis in naturally infected penguins.

Resumo Ainda hoje, um teste diagnóstico eficaz para aspergilose em pinguins não é conhecido, sendo o padrão-ouro os exames post-mortem. O antígeno fúngico galactomanana (GM) tem sido utilizado como biomarcador da doença em humanos, sendo detectado pelo Platelia Aspergillus EIA (BioRad)®, um kit comercial que se baseia na técnica ELISA sanduíche. É padronizado para utilização em pacientes neutropênicos, no entanto estudos tem demonstrado sua possível utilidade também para aves.O objetivo de nosso estudo foi avaliar a eficácia do teste Platelia Aspergillus EIA® (BioRad-US) no diagnóstico da aspergilose em pinguins-de-Magalhães, determinando sensibilidade, especificidade e valores preditivos positivos e negativos em diferentes pontos de corte. Foram incluídas no estudo, amostras de soro sanguíneo (n=29) de pinguins-de-Magalhães em cativeiro que vieram a óbito por aspergilose. A detecção de GM foi realizada seguindo instruções do fabricante e o índice de GM foi obtido dividindo o valor da média da DO da duplicata da amostra clínica pelo valor da média da DO da duplicata da amostra de cut-off fornecida pelo kit. Através de informações em banco de dados foram obtidos resultados sobre a presença de anticorpos anti-Aspergillus fumigatus, detectada por Imunodifusão em gel de ágar (IDGA) em todas as amostras séricas. Os resultados foram analisados utilizando-se teste de qui-quadrado e Kruskal-Wallis a partir do programa estatístico SPSS 20.0, IBM®. Curva ROC foi obtida e a partir desta, taxas de sensibilidade, especificidade, valores preditivo positivo e negativo foram igualmente calculados considerando quatro diferentes pontos de corte (0.5, 1.0, 1.5 e 2.0). O índice de GM sérica não diferiu entre os animais do grupo caso e controle (pKW = 0.097). Na determinação da curva ROC para detecção de GM sérica o valor da área sobre a curva foi de 0.635. A partir dos valores determinados pelas coordenadas da curva, quatro diferentes pontos de corte (0.5, 1.0, 1.5 e 2.0) foram analisados, resultando em taxas de sensibilidade variando de 86.2% a 34.5%, e de especificidade entre 87% e 26.1%. Ao comparar o índice de GM sérica nos animais do grupo caso quanto a presença ou não de anticorpos detectados pela IDGA foi encontrado p=0.503. A detecção de GM pelo teste Platelia Aspergillus EIA® não parece ser útil para o diagnóstico da aspergilose em pinguins naturalmente infectados.

Development and physical-chemical properties of pectin film reinforced with spent coffee grounds by continuous casting.

The ever-growing environmental concerns over the unrestricted fossil sources exploitation for non-biodegradable materials production has stimulated research on alternative renewable resources. The pectin films (HDM) were incorporated in different concentrations of spent coffee grounds (SCG) (5-20% w/w HDM) aiming at developing biodegradable films and the use of an underutilized resource. The films were obtained by continuous casting. The chemical composition, morphology, thermal stability, barrier and mechanical properties (traction and puncture), and functional groups were investigated. Overall, SCG showed sound dispersibility and good interaction with the polymer matrix. The addition of SCG resulted in important pectin-based film properties changes, allowing an increase in color and thermal stability. SCG incorporation significantly improved the water vapor permeability rate improving or at least preserving the physicochemical properties.

Applicability of the Platelia EIA® Aspergillus test for the diagnosis of aspergilosis in penguins.

Even today, an effective diagnostic test for aspergillosis in penguins is unknown, being the gold standard post-mortem examinations. The fungal antigen galactomannan (GM) has been used as a biomarker of disease in humans and is detected by the Platelia Aspergillus EIA (BioRad)®, a commercial kit based on the sandwich ELISA technique. It is standardized for use in neutropenic patients, however studies have demonstrated its usefulness also possible for birds. The aim of our study was to evaluate the effectiveness of Platelia Aspergillus EIA® test (BioRad-US) in the diagnosis of aspergillosis in Magellanic penguins, determining sensitivity, specificity, and positive and negative predictive values for different cut-off points. Were included in the study, blood serum samples (n = 29) Magellanic penguins in captivity that died by aspergillosis. Detection of GM was performed following manufacturer's instructions and the GM index was obtained by dividing the average value of OD of the duplicate of the clinical sample by duplicate OD of the average value of the cut-off sample provided by the kit. Through information database results were obtained for the presence of anti-Aspergillus fumigatus antibodies detected by agar gel immunodiffusion (AGID) for all serum samples. Results were analyzed using chi-square test and Kruskal-Wallis from SPSS 20.0, IBM®. ROC curve was obtained and from this, rates of sensitivity, specificity, positive and negative predictive values were also calculated based on four different cutoff points (0.5, 1.0, 1.5 and 2.0). The serum GM index did not differ between animals of the case and control group (pkw =0.097). In determining the ROC curve for serum GM detection the value of area under the curve was 0.635. From the values ​​determined by the coordinate of the curve, four different cut points (0.5, 1.0, 1.5 and 2.0) were analyzed, resulting in sensitivity rates ranging from 86.2 to 34.5% % and specificity between 87% and 26.1%. By comparing the serum GM index in group case as the presence or absence of antibodies detected by AGID was found p=0.503. The detection of GM the Platelia Aspergillus EIA® test seems is not be useful for the diagnosis of aspergillosis in naturally infected penguins.

Identification and antimicrobial suceptibility profile of bacteria causing bovine mastitis from dairy farms in Pelotas, Rio Grande do Sul / Identificação e perfil de suscetibilidade antimicrobiana de bactérias causadoras de mastite bovina em propriedades leiteiras de Pelotas, Rio Grande do Sul

Abstract Mastitis is an inflammatory process of the udder tissue caused mainly by the bacteria Staphylococcus aureus. The indiscriminate use of antibiotics fosters conditions that favor the selection of resistant microorganisms, suppressing at the same time susceptible forms, causing a serious problem in dairy cattle. Given the importance in performing an antibiogram to select the most adequate antimicrobial therapy, the aim of this study was to identify bacteria isolated from cow's milk with mastitis, in dairy farms situated in the city of Pelotas, Rio Grande do Sul, and to determinate the susceptibility profile of these isolates against the antibiotics used to treat this illness. A total of 30 isolates of Staphylococcus spp., were selected from milk samples from the udder quarters with subclinical mastitis whose species were identified through the Vitek system. The susceptibility profile was performed by the disk diffusion assay, against: ampicillin, amoxicillin, bacitracin, cephalexin, ceftiofur, enrofloxacin, gentamicin, neomycin, norfloxacin, penicillin G, tetracycline and trimethoprim. In the antibiogram, 100.0% of the isolates were resistant to trimethoprim and 96.7% to tetracycline and neomycin, three strains of Staphylococcus spp., (10.0%) presented resistance to the 12 antibiotics tested and 24 (80.0%) to at least eight. These results showed the difficulty in treating mastitis, due to the pathogens' resistance.

Resumo A mastite se constitui no processo inflamatório da glândula mamária causada principalmente por bactérias Staphylococcus aureus. O uso indiscriminado dos antibióticos promove condições que favorecem a seleção de micro-organismos resistentes e, ao mesmo tempo, suprime formas suscetíveis, causando um grave problema para a bovinocultura leiteira. Tendo em vista a importância da realização do antibiograma para a seleção da terapia antimicrobiana mais adequada, o objetivo deste estudo foi identificar bactérias isoladas de leite de vaca com mastite, oriundas de propriedades leiteiras localizadas na cidade de Pelotas, RS, bem como determinar o perfil de suscetibilidade desses isolados frente a antibióticos usados para o tratamento desta doença. Foram selecionados 30 isolados de Staphylococcus spp. de amostras de leite provenientes de quartos mamários com mastite subclínica, cujas espécies foram identificadas através do sistema Vitek. O perfil de suscetibilidade foi realizado pela técnica de difusão em disco, frente a: ampicilina, amoxicilina, bacitracina, cefalexina, ceftiofur, enrofloxacina, gentamicina, neomicina, norfloxacina, penicilina G, tetraciclina e trimetoprima. No antibiograma, 100,0% dos isolados foram resistentes a trimetoprima e 96,7% a tetraciclina e a neomicina, três cepas (10,0%) foram resistentes aos 12 antibióticos testados e 24 (80,0%) a pelo menos oito. Esses resultados demonstram a dificuldade encontrada no tratamento da mastite devido à resistência dos agentes patológicos.

Evaluation of the frequency of Candida spp. in hospitalized and non-hospitalized subjects / Avaliação da frequência de candida spp. em indivíduos hospitalizados e não hospitalizados

Abstract The aim of this study was to evaluate the frequency of Candida species between a non-hospitalized and a hospitalized population. For this purpose, samples of saliva were sampled through sterile swabs, moistened in peptone water and rubbed in the oral cavity of 140 individuals, from which, 70 were hospitalized patients from the Medical Clinic of a Teaching Hospital and the other 70 were non-hospitalized subjects. All saliva samples were plated in Sabouraud Dextrose agar added with Chloramphenicol and incubated at 36 °C for 48 hours. The morphology identification was performed through macroscopic and microscopic characterization, the CHROMagar Candida medium and the VITEK® system Yeast Biochemical Card (bio Mérieux SA, France). The results showed a colonization of Candida spp. in 85.7% the hospitalized individuals, where the species found were C. albicans (60%), C. tropicalis (23.4%), C. krusei (3.3%) and Candida spp. (13.3%). In the non-hospitalized individuals the colonization by Candida spp was 47.1%, and the species found were: C. albicans (45.5%), C.krusei (9.1%), C. guilliermondii (9.1% %), C. tropicalis (3.0%), C. famata (3.0%) and Candida spp. (30.3%). In spite of their presence in oral cavity in both groups, Candida spp. was more frequently isolated in hospitalized individuals, who were 6.73 times more likely to have this fungus in the oral cavity and were 3.88 times more likely to have Candida albicans.

Resumo O objetivo deste estudo foi avaliar a frequência de espécies de Candida entre uma população de indivíduos não-hospitalizados e hospitalizados. Para isto, amostras de saliva foram coletadas através de swabs estéreis, umedecidas em água de peptona e friccionadas na cavidade bucal de 140 indivíduos, dos quais 70 eram pacientes internados em uma Clínica Médica de um Hospital Escola e os outros 70 eram indivíduos não hospitalizados sem contato com ambiente hospitalar. Todas as amostras de saliva foram plaqueadas em ágar Sabouraud dextrose adicionadas de cloranfenicol e incubadas a 36 °C durante 48 horas. A identificação morfológica foi realizada através da caracterização macroscópica e microscópica, com o meio CHROMagar Candida e do sistema VITEK® Biochemical Card (bio Mérieux SA, França). Os resultados mostraram uma colonização de Candida spp. em 85,7% dos indivíduos hospitalizados, onde as espécies encontradas foram: C.albicans (60%), C. tropicalis (23,4%), C. krusei (3,3%) e Candida spp. (13,3%). Nos indivíduos não-hospitalizados a colonização por Candida spp foi de 47,1%, e as espécies encontradas foram: C. albicans (45,5%), C. krusei (9,1%), C. guilliermondii (9,1%), C. tropicalis (3,0%), C. famata (3,0%) e Candida spp. (30,3%). Apesar de sua presença na cavidade oral em ambos os grupos, Candida spp. foi mais freqüentemente isolada em indivíduos hospitalizados, que foram 6,73 vezes mais propensos a ter este fungo na cavidade oral e foram 3,88 vezes mais propensos a ter Candida albicans.

Structural stability of interaction networks against negative external fields.

We explore structural stability of weighted and unweighted networks of positively interacting agents against a negative external field. We study how the agents support the activity of each other to confront the negative field, which suppresses the activity of agents and can lead to collapse of the whole network. The competition between the interactions and the field shape the structure of stable states of the system. In unweighted networks (uniform interactions) the stable states have the structure of k-cores of the interaction network. The interplay between the topology and the distribution of weights (heterogeneous interactions) impacts strongly the structural stability against a negative field, especially in the case of fat-tailed distributions of weights. We show that apart from critical slowing down there is also a critical change in the system structure that precedes the network collapse. The change can serve as an early warning of the critical transition. To characterize changes of network structure we develop a method based on statistical analysis of the k-core organization and so-called "corona" clusters belonging to the k-cores.

Finding the Optimal Nets for Self-Folding Kirigami.

Three-dimensional shells can be synthesized from the spontaneous self-folding of two-dimensional templates of interconnected panels, called nets. However, some nets are more likely to self-fold into the desired shell under random movements. The optimal nets are the ones that maximize the number of vertex connections, i.e., vertices that have only two of its faces cut away from each other in the net. Previous methods for finding such nets are based on random search, and thus, they do not guarantee the optimal solution. Here, we propose a deterministic procedure. We map the connectivity of the shell into a shell graph, where the nodes and links of the graph represent the vertices and edges of the shell, respectively. Identifying the nets that maximize the number of vertex connections corresponds to finding the set of maximum leaf spanning trees of the shell graph. This method allows us not only to design the self-assembly of much larger shell structures but also to apply additional design criteria, as a complete catalog of the maximum leaf spanning trees is obtained.

Airborne fungi in an intensive care unit / Fungos anemófilos em uma unidade de terapia intensiva

Abstract The presence of airborne fungi in Intensive Care Unit (ICUs) is associated with increased nosocomial infections. The aim of this study was the isolation and identification of airborne fungi presented in an ICU from the University Hospital of Pelotas - RS, with the attempt to know the place's environmental microbiota. 40 Petri plates with Sabouraud Dextrose Agar were exposed to an environment of an ICU, where samples were collected in strategic places during morning and afternoon periods for ten days. Seven fungi genera were identified: Penicillium spp. (15.18%), genus with the higher frequency, followed by Aspergillus spp., Cladosporium spp., Fusarium spp., Paecelomyces spp., Curvularia spp., Alternaria spp., Zygomycetes and sterile mycelium. The most predominant fungi genus were Aspergillus spp. (13.92%) in the morning and Cladosporium spp. (13.92%) in the afternoon. Due to their involvement in different diseases, the identified fungi genera can be classified as potential pathogens of inpatients. These results reinforce the need of monitoring the environmental microorganisms with high frequency and efficiently in health institutions.

Resumo A presença de fungos anemófilos nas UTIs está associada com o aumento de infecções nosocomiais. O objetivo deste estudo foi isolar e identificar quais os principais fungos anemófilos presentes em uma Unidade de Terapia Intensiva (UTI) de um Hospital Universitário de Pelotas - RS, na tentativa de conhecer a microbiota ambiental do local. Através de 40 placas de Petri com Agar Sabouraud dextrose expostas no ambiente de UTI foram coletadas amostras por exposição em locais estratégicos durante períodos da manhã e tarde por dez dias. Sete gêneros fúngicos foram identificados: Penicillium spp. (15,18%), o gênero de maior frequência, seguido de Aspergillus spp., Cladosporium spp., Fusarium spp., Paecelomyces spp., Curvularia spp., Alternaria spp., além de Zigomicetos e micélios estéreis. Houve predomínio de Aspergillus spp. (13,92%) pela manhã e Cladosporium spp. (13,92%) a tarde. Por estarem envolvidos em diferentes enfermidades, os gêneros identificados podem ser classificados como patógenos em potencial aos pacientes internados. Estes resultados reforçam a necessidade de um monitoramento dos micro-organismos ambientais com maior freqüência e eficiência nas instituições de saúde.

Evaluation of the frequency of Candida spp. in hospitalized and non-hospitalized subjects.

The aim of this study was to evaluate the frequency of Candida species between a non-hospitalized and a hospitalized population. For this purpose, samples of saliva were sampled through sterile swabs, moistened in peptone water and rubbed in the oral cavity of 140 individuals, from which, 70 were hospitalized patients from the Medical Clinic of a Teaching Hospital and the other 70 were non-hospitalized subjects. All saliva samples were plated in Sabouraud Dextrose agar added with Chloramphenicol and incubated at 36 °C for 48 hours. The morphology identification was performed through macroscopic and microscopic characterization, the CHROMagar Candida medium and the VITEK® system Yeast Biochemical Card (bio Mérieux SA, France). The results showed a colonization of Candida spp. in 85.7% the hospitalized individuals, where the species found were C. albicans (60%), C. tropicalis (23.4%), C. krusei (3.3%) and Candida spp. (13.3%). In the non-hospitalized individuals the colonization by Candida spp was 47.1%, and the species found were: C. albicans (45.5%), C.krusei (9.1%), C. guilliermondii (9.1% %), C. tropicalis (3.0%), C. famata (3.0%) and Candida spp. (30.3%). In spite of their presence in oral cavity in both groups, Candida spp. was more frequently isolated in hospitalized individuals, who were 6.73 times more likely to have this fungus in the oral cavity and were 3.88 times more likely to have Candida albicans.

Antifungal susceptibility profile of diferent yeasts isolates from wild animals, cow's milk with subclinical mastitis and hospital environment / Perfil de suscetibilidade antifúngica de diferentes leveduras isoladas da microbiota de animais silvestres, leite com mastite subclínica e ambiente hospitalar

Abstract Yeast infections have acquired great importance due to increasing frequency in immunocompromised patients or patients undergoing invasive diagnostic and therapeutic techniques, and also because of its high morbidity and mortality. At the same time, it has been seen an increase in the emergence of new pathogenic species difficult to diagnose and treat. The aim of this study was to determine the in vitro susceptibility of 89 yeasts from different sources against the antifungals amphotericin B, voriconazole, fluconazole and flucytosine, using the VITEK® 2 Compact system. The antifungal susceptibility was performed automatically by the Vitek® 2 Compact system. The origin of the yeasts was: Group 1 - microbiota of wild animals (W) (26/89), 2 - cow's milk with subclinical mastitis (M) (27/89) and 3 - hospital enviorment (H) (36/89). Of the 89 yeasts submitted to the Vitek® 2 test, 25 (20.9%) were resistant to fluconazole, 11 (12.36%) to amphotericin B, 3 (3.37%) to voriconazole, and no sample was resistant to flucytosine. Regarding the minimum inhibitory concentration (MIC), fluconazole showed an MIC between 1 and 64 mg/mL for the three groups, voriconazole had an MIC between 0.12 and 8 mg/mL, amphotericin B had an MIC between 0.25 and 4 mg/mL for group H and group W respectively, between 0.25 and 16 mg/mL for group M and flucytosine had an MIC equal to 1μg/mL for all groups. The yeasts isolated from the H group showed the highest resistance to fluconazole 12/89 (13.49%), followed by group W (7.87%) and group M (5.62%). The more resistant group to voriconazole was followed by the M and H groups, the W group showed no resistance to this antifungal. Group H was the least resistant (2.25%) to amphotericin.

Resumo As infecções por leveduras têm adquirido grande importância, devido ao aumento da sua frequência em pacientes imunocomprometidos ou pacientes submetidos a técnicas diagnosticas e terapêuticas agressivas, e devido sua alta morbidade e mortalidade. Paralelamente tem-se observado um incremento na aparição de novas espécies patógenas difíceis de diagnosticar e tratar. O objetivo desse estudo foi avaliar a suscetibilidade in vitro de 89 leveduras de diferentes origens frente aos antifúngicos Anfotericina B, Voriconazol, Fluconazol e Fluocitocina pelo Sistema Vitek® 2. O antifungigrama foi realizado automaticamente pelo Vitek® 2 Compact. A origem das leveduras foi: Grupo 1- Microbiota de Animais Silvestres (S) (26/89), 2- Leite com mastite bovina subclínica (L) (27/89) e 3- Ambiente Hospitalar (H) (36/89). Das 89 leveduras submetidas à carta Vitek®, 25 (20.09%) foram resistentes ao fluconazol, oito (8.99%) à anfotericina B, três (3.37%) ao voriconazol, e nenhuma amostra mostrou-se resistente a fluocitosina. O grupo três (H) foi mais resistente ao fluconazol que os demais, já o dois (L) foi mais resistente ao voriconazol e a anfotericina B que os outros dois. O fluconazol pode ter apresentado maior número de resistências devido ser um fármaco comumente usado principalmente em humanos. As leveduras isoladas de humanos apresentaram maior número de resistências aos fármacos testados do que as leveduras isoladas de animais silvestres. O que pode ocorrer devido a uma maior exposição dos humanos aos fármacos em relação aos animais que vivem isolados em ambientes selvagens e na maioria dos casos nunca teve contato com fármacos de qualquer origem.