Detection and quantification of viable airborne bacteria and fungi using solid-phase cytometry

This protocol describes the use of solid-phase cytometry for the enumeration of airborne bacteria and fungi. In contrast with conventional methods, accurate results can be obtained in real time, especially for air samples with low numbers of microorganisms. Air samples are collected by impaction on a water-soluble polymer that is subsequently dissolved. Part of the sample can be filtered over two membrane filters with different pore sizes. One filter is used to obtain a total count of all viable microorganisms, and a second filter is used to determine the number of airborne fungi. Microorganisms present on the filter are labeled with a viability substrate and subsequently detected and quantified using a solid-phase cytometer. The detected spots are microscopically validated using an epifluorescence microscope to discriminate between bacteria, fungi and fluorescent particles. The whole procedure takes 5 h to complete and results in the accurate quantification of airborne bacteria and fungi for samples with a low or high microbial load

Comparison of multiple typing methods for Aspergillus fumigatus

As part of studies on the spread of infections, risk factors and prevention, several typing methods were developed to investigate the epidemiology of Aspergillus fumigatus. In the present study, 52 clinical isolates of A. fumigatus from 12 airway specimens from patients with invasive aspergillosis (hospitalized in three different centres) were characterized by short tandem repeat (STR) typing and multilocus sequence typing (MLST). These isolates were previously typed by random amplified polymorphic DNA (RAPD), sequence-specific DNA polymorphism (SSDP), microsatellite polymorphism (MSP) and multilocus enzyme electrophoresis (MLEE). STR typing identified 30 genotypes and, for most patients, all isolates were grouped in one cluster of the unweighted pair group method with arithmetic mean dendrogram. Using MLST, 16 genotypes were identified among 50 isolates, while two isolates appeared untypeable. RAPD, MSP, SSDP and MLEE allowed identification of eight, 14, nine and eight genotypes, respectively. Combining the results of these methods led to the delineation of 25 genotypes and a similar clustering pattern as with STR typing. In general, STR typing led to similar results to the previous combination of RAPD, SSDP, MSP and MLEE, but had a higher resolution, whereas MLST was less discriminatory and resulted in a totally different clustering pattern. Therefore, this study suggests the use of STR typing for research concerning the local epidemiology of A. fumigatus, which requires a high discriminatory power

BriX: a database of protein building blocks for structural analysis, modeling and design

High-resolution structures of proteins remain the most valuable source for understanding their function in the cell and provide leads for drug design. Since the availability of sufficient protein structures to tackle complex problems such as modeling backbone moves or docking remains a problem, alternative approaches using small, recurrent protein fragments have been employed. Here we present two databases that provide a vast resource for implementing such fragment-based strategies. The BriX database contains fragments from over 7000 non-homologous proteins from the Astral collection, segmented in lengths from 4 to 14 residues and clustered according to structural similarity, summing up to a content of 2 million fragments per length. To overcome the lack of loops classified in BriX, we constructed the Loop BriX database of non-regular structure elements, clustered according to end-to-end distance between the regular residues flanking the loop. Both databases are available online (http://brix.crg.es) and can be accessed through a user-friendly web-interface. For high-throughput queries a web-based API is provided, as well as full database downloads. In addition, two exciting applications are provided as online services: (i) user-submitted structures can be covered on the fly with BriX classes, representing putative structural variation throughout the protein and (ii) gaps or low-confidence regions in these structures can be bridged with matching fragments

PepX: a structural database of non-redundant protein–peptide complexes

Although protein–peptide interactions are estimated to constitute up to 40% of all protein interactions, relatively little information is available for the structural details of these interactions. Peptide-mediated interactions are a prime target for drug design because they are predominantly present in signaling and regulatory networks. A reliable data set of nonredundant protein–peptide complexes is indispensable as a basis for modeling and design, but current data sets for protein–peptide interactions are often biased towards specific types of interactions or are limited to interactions with small ligands. In PepX (http://pepx.switchlab.org), we have designed an unbiased and exhaustive data set of all protein–peptide complexes available in the Protein Data Bank with peptide lengths up to 35 residues. In addition, these complexes have been clustered based on their binding interfaces rather than sequence homology, providing a set of structurally diverse protein–peptide interactions. The final data set contains 505 unique protein–peptide interface clusters from 1431 complexes. Thorough annotation of each complex with both biological and structural information facilitates searching for and browsing through individual complexes and clusters. Moreover, we provide an additional source of data for peptide design by annotating peptides with naturally occurring backbone variations using fragment clusters from the BriX database

Quantification, identification and genotyping of fungi

Due to the increasing number of patients at risk, fungal infections have become omnipresent. The treatment of these infections is often empirical, as rapid and accurate methods for the diagnosis of these infections are lacking. Therefore, I have focussed on the development of methods for the quantification, identification and genotyping of fungi in order to develop novel approaches allowing accurate prevention and rapid diagnosis of fungal infections. Methods based on solid-phase cytometry (SPC) were developed for the quantification of bacteria and fungi as well as A. fumigatus in air samples by using viability staining and immunofluorescence labelling, respectively. Comparison of the results obtained with SPC and those obtained with plating showed that SPC is more rapid and has a lower detection limit. Moreover, SPC was found suitable to specifically detect airborne A. fumigatus in the presence of other fungi. Next, we used SPC to investigate whether A. fumigatus strains resistant to itraconazole are present in air. Because 1.8% of airborne A. fumigatus strains were found to be resistant to itraconazole, we can conclude that the environment possibly serves as a reservoir for infections with itraconazole-resistant strains. In order to improve the diagnosis of candidemia, we developed a method based on immunomagnetic separation and SPC to detect Candida cells in blood. Application of this method to clinical samples demonstrated that it was diagnostically more sensitive and more rapid than traditional culture-based techniques. In a third part we compared different genotyping methods for A. fumigatus and concluded that VNTR typing was the optimal tool for epidemiological studies on A. fumigatus. Subsequently, this method was used to analyse isolates retrieved from patients with cystic fibrosis (CF) and invasive aspergillosis (IA). We found that the respiratory tract of persons with CF is usually colonised with multiple A. fumigatus strains and that a limited number of them is able to cause persistent colonisation. In contrast, the same A. fumigatus strain was isolated from various deep organs of patients with IA. Both studies suggested that the impact of patient-to-patient transmission is limited. In a final study, we used SPC and VNTR typing for the quality control of 15 probiotic products containing S. boulardii. Using VNTR typing, we confirmed that the identity of all Saccharomyces strains is S. boulardii. Additionally, SPC counts were higher than plate counts as all viable cells were enumerated instead of culturable cells only. Initially, limited differences were observed between the numbers of cells present in the various products. When exposed to simulated gastric conditions, less than 1% of the S. boulardii cells in all products tested was able to survive. However, the probiotic product Enterol proved more resistant to acidic conditions than the other products

Rapid detection and quantification of Aspergillus fumigatus in environmental air samples using solid-phase cytometry

Aspergillus fumigatus is an ubiquitous fungus capable of causing severe infections such as aspergilloma, allergic bronchopulmonary aspergillosis, and invasive aspergillosis, especially in immunocompromised patients. Monitoring the number of Aspergillus fumigatus spores in the air is crucial for infection control. In the present study, a novel approach for the quantification of Aspergillus fumigatus, based on solid-phase cytometry (SPC) and immunofluorescent labeling, was developed. The sensitivity and specificity of the assay were confirmed by testing pure cultures. Paecilomyces variotii and Rhizopus stolonifer were codetected but could be excluded on the basis of morphology of the microcolonies. The SPC method has considerable advantages compared to the culture-based method, including its slow detection limit(4 cells/m), its speed (results are obtained within 24 h), and the straightforward microscopic identification of Aspergillus fumigatus. Additionally, comparison of results obtained with both methods demonstrated that they are equally accurate for the quantification of Aspergillus fumigatus in environmental air samples

What can be learned from genotyping of fungi?

Multiple genotyping studies have been carried out in order to clarify the epidemiology of fungal infections, more specifically to determine the sources, transmission routes, and colonization patterns of fungal isolates. In this review, the results obtained in genotyping investigations of Aspergillus isolates are summarized and discussed. Furthermore, we examine the epidemiologic studies of Candida albicans, Exophiala dermatitidis and Scedosporium apiospermum infections in patients with cystic fibrosis. Relative to Aspergillus fumigatus, colonization of the respiratory tract by multiple strains, and of deep organs by only a single strain were observed. On the other hand, the few studies which focused on other fungi isolated from patients with cystic fibrosis have suggested that colonization occurs primarily by a dominant genotype

Microsatellite typing of Aspergillus fumigatus isolates recovered from deep organ samples of patients with invasive aspergillosis

Microsatellite typing was used to analyze 41 Aspergillus fumigatus isolates from 9 patients with proven invasive aspergillosis hospitalized in 2 different centers. No strains were shared between patients. For 8 of 9 patients, a single genotype was found for the isolates recovered from all anatomic sites involved