Allergen-specific IgE and IgG4 patterns among patients with different allergic diseases.

BACKGROUND: In addition to allergen-specific IgE (sIgE), allergen-specific IgG4 (sIgG4) antibodies are also involved in the immune response resulting from an allergen exposure. The aim of our study was to analyze sIgE and sIgG4 patterns in the most common allergic disorders: bronchial asthma, upper airway disorders and atopic dermatitis. METHODS: In this study a screening analysis of blood serum samples from 673 patients aged from 6 months to 17 years with different allergic entities was performed on microarrays. sIgE and sIgG4 levels to the most common allergens were estimated. RESULTS: sIgE response to most pollen allergens is more strongly associated with respiratory diseases than with atopic dermatitis, while sIgE responses to cat and dog dander are more strongly associated with bronchial asthma than with atopic dermatitis and upper airway disorders such as rhinosinusitis and allergic rhinitis. A lower prevalence of sIgG4 to pollen allergens in cases of atopic dermatitis is observed compared with that in cases of asthma and upper airway disorders. Analyzing all the allergic disorders, one can see that sIgG4 response to inhalant allergens is strongly associated with sensitization to the corresponding allergen. CONCLUSION: Allergen-specific IgE and IgG4 patterns that are relevant to concrete allergic diseases differ by sIgE and sIgG4 prevalences to defined allergens.

Patterns of sensitization to inhalant and food allergens among pediatric patients from the Moscow region (Russian Federation).

The immunological profiles of human specific IgE (sIgE) and specific IgG4 (sIgG4) vary by genetic predisposition, living conditions in different geographical locations and patient's age. The aim of our study was to analyze sIgE and sIgG4 patterns and their age-dependent changes in patients from the Moscow region. For identifying sIgE and sIgG4 profiles the blood samples from 513 patients aged 6 months to 17 years who were showing symptoms of allergic diseases were analyzed using microarrays containing 31 allergens. The highest sIgE prevalence was observed for birch pollen (32%) among pollen allergens, cat dander (24%) among indoor allergens, and egg whites (21%) among food allergens. The most common sIgG4 response was developed toward egg whites (80% of patients). Age-related elevation was identified for patients with increased sIgE to pollen allergens and indoor allergens (cat or dog dander and house dust mites). For each allergen, the proportion of cases with significant levels of sIgG4 appeared to increase with patients' age. The data on allergen-specific sIgE and sIgG4 prevalence show both general trends and some local special aspects that are indicative for the Moscow region. This information should be useful in terms of epidemiology of allergic diseases.

Microarray analyzer based on wide field fluorescent microscopy with laser illumination and a device for speckle suppression.

A microarray analyzer was developed to obtain images and measure the fluorescence intensity of microarrays at three wavelengths from 380 nm to 850 nm. The analyzer contains lasers to excite fluorescence, barrier filters, optics to project images on an image detector, and a device for suppressing laser speckles on the microarray support. The speckle suppression device contains a fibre-optic bundle and a rotating mirror positioned in a way to change the distance between the bundle butt and mirror surface during each mirror revolution. The analyzer provides for measurements with accuracy within ± 5%. Obtaining images at several exposure times allowed a significant expansion in the range of measured fluorescence intensities. The analyzer is useful for high throughput analysis of the same type of microarrays.

Discrimination of Bacillus anthracis and closely related microorganisms by analysis of 16S and 23S rRNA with oligonucleotide microarray.

Analysis of 16S rRNA sequences is a commonly used method for the identification and discrimination of microorganisms. However, the high similarity of 16S and 23S rRNA sequences of Bacillus cereus group organisms (up to 99-100%) and repeatedly failed attempts to develop molecular typing systems that would use DNA sequences to discriminate between species within this group have resulted in several suggestions to consider B. cereus and B. thuringiensis, or these two species together with B. anthracis, as one species. Recently, we divided the B. cereus group into seven subgroups, Anthracis, Cereus A and B, Thuringiensis A and B, and Mycoides A and B, based on 16S rRNA, 23S rRNA and gyrB gene sequences and identified subgroup-specific makers in each of these three genes. Here we for the first time demonstrated discrimination of these seven subgroups, including subgroup Anthracis, with a 3D gel element microarray of oligonucleotide probes targeting 16S and 23S rRNA markers. This is the first microarray enabled identification of B. anthracis and discrimination of these seven subgroups in pure cell cultures and in environmental samples using rRNA sequences. The microarray bearing perfect match/mismatch (p/mm) probe pairs was specific enough to discriminate single nucleotide polymorphisms (SNPs) and was able to identify targeted organisms in 5min. We also demonstrated the ability of the microarray to determine subgroup affiliations for B. cereus group isolates without rRNA sequencing. Correlation of these seven subgroups with groupings based on multilocus sequence typing (MLST), fluorescent amplified fragment length polymorphism analysis (AFLP) and multilocus enzyme electrophoresis (MME) analysis of a wide spectrum of different genes, and the demonstration of subgroup-specific differences in toxin profiles, psychrotolerance, and the ability to harbor some plasmids, suggest that these seven subgroups are not based solely on neutral genomic polymorphisms, but instead reflect differences in both the genotypes and phenotypes of the B. cereus group organisms.

Use of 16S rRNA, 23S rRNA, and gyrB gene sequence analysis to determine phylogenetic relationships of Bacillus cereus group microorganisms.

In order to determine if variations in rRNA sequence could be used for discrimination of the members of the Bacillus cereus group, we analyzed 183 16S rRNA and 74 23S rRNA sequences for all species in the B. cereus group. We also analyzed 30 gyrB sequences for B. cereus group strains with published 16S rRNA sequences. Our findings indicated that the three most common species of the B. cereus group, B. cereus, Bacillus thuringiensis, and Bacillus mycoides, were each heterogeneous in all three gene sequences, while all analyzed strains of Bacillus anthracis were found to be homogeneous. Based on analysis of 16S and 23S rRNA sequence variations, the microorganisms within the B. cereus group were divided into seven subgroups, Anthracis, Cereus A and B, Thuringiensis A and B, and Mycoides A and B, and these seven subgroups were further organized into two distinct clusters. This classification of the B. cereus group conflicts with current taxonomic groupings, which are based on phenotypic traits. The presence of B. cereus strains in six of the seven subgroups and the presence of B. thuringiensis strains in three of the subgroups do not support the proposed unification of B. cereus and B. thuringiensis into one species. Analysis of the available phenotypic data for the strains included in this study revealed phenotypic traits that may be characteristic of several of the subgroups. Finally, our results demonstrated that rRNA and gyrB sequences may be used for discriminating B. anthracis from other microorganisms in the B. cereus group.

Identification of chromosomal translocations in leukemias by hybridization with oligonucleotide microarrays.

BACKGROUND AND OBJECTIVES: Identification of chromosomal rearrangements is important for a precise risk-stratified diagnosis of hematologic malignancies. As the number of known translocations, specific for different types of leukemia increases, it takes ever more time and increasing amounts of patient's material to screen a single patient with individual polymerase chain reactions (PCR). The aim of this study was to develop a new approach combining specificity with high-throughput sufficient for rapid screening of clinical samples for the presence of numerous translocations. DESIGN AND METHODS: We designed an oligonucleotide microarray and used hybridization with microarrays in combination with multiplex reverse transcription-polymerase chain reaction (RT-PCR) assay for accurate and rapid identification of some major leukemias. The following translocations were used as prototypic: t(9;22) p210 and p190, t(4;11), t(12;21), and t(15;17). This approach was tested on five different cell cultures carrying translocations and on 22 clinical samples from leukemic patients. RESULTS: Distinctive hybridization signals were obtained for all types of chimeric transcripts from cell lines with translocations. Both the type of translocation and the splice variant were determined. The data demonstrated high specificity and reproducibility of the method. Analysis of the 22 clinical samples using the microarray-based approach showed complete agreement with standard PCR analysis. INTERPRETATION AND CONCLUSIONS: Our data suggest that oligonucleotide microarrays can be used as an efficient, alternative approach to the traditional post-PCR Southern blot analysis. The oligonucleotide microarray approach appears suitable for clinical screening of major risk-stratifying translocations in patients with leukemia.