Component‐resolved microarray analysis of IgE sensitization profiles to Culicoides recombinant allergens in horses with insect bite hypersensitivity

Background: Allergy to bites of blood sucking insects, including biting midges can affect both human and veterinary patients. Horses are often suffering from an IgE‐mediated allergic dermatitis caused by bites of midges (Culicoides spp) . With the aim to improve allergen immunotherapy (AIT) numerous Culicoides allergens have been produced as recombinant (r‐) proteins. This study aims to test a comprehensive panel of differently expressed Culicoides r‐allergens on a cohort of IBH‐affected and control horses using an allergen microarray. Methods: IgE levels to 27 Culicoides r‐allergens, including 8 previously unpublished allergens, of which 11 were expressed in more than one expression system, were determined in sera from 347 horses. ROC analyses were carried out, cut‐offs selected using a specificity of 95% and sero‐positivity rates compared between horses affected with insect bite hypersensitivity (IBH) and control horses. The combination of r‐allergens giving the best performing test was determined using logistic regression analysis. Results: Sero‐positivity was significantly higher in IBH horses compared to controls for 25 r‐allergens. Nine Culicoides r‐allergens were major allergens for IBH with seven of them binding IgE in sera from >70% of the IBH‐affected horses. Combination of these top seven r‐allergens could diagnose >90% of IBH‐affected horses with a specificity of >95%. Correlation between differently expressed r‐allergens was usually high (mean = 0.69, range 0.28‐0.91). Conclusion: This microarray will be a powerful tool for development of component‐resolved, patient‐tailored AIT for IBH and could be useful for the study of allergy to biting midges in humans and other species

Whole Genome Sequencing and Evolutionary Analysis of Human Respiratory Syncytial Virus A and B from Milwaukee, WI 1998-2010

BACKGROUND: Respiratory Syncytial Virus (RSV) is the leading cause of lower respiratory-tract infections in infants and young children worldwide. Despite this, only six complete genome sequences of original strains have been previously published, the most recent of which dates back 35 and 26 years for RSV group A and group B respectively. METHODOLOGY/PRINCIPAL FINDINGS: We present a semi-automated sequencing method allowing for the sequencing of four RSV whole genomes simultaneously. We were able to sequence the complete coding sequences of 13 RSV A and 4 RSV B strains from Milwaukee collected from 1998-2010. Another 12 RSV A and 5 RSV B strains sequenced in this study cover the majority of the genome. All RSV A and RSV B sequences were analyzed by neighbor-joining, maximum parsimony and Bayesian phylogeny methods. Genetic diversity was high among RSV A viruses in Milwaukee including the circulation of multiple genotypes (GA1, GA2, GA5, GA7) with GA2 persisting throughout the 13 years of the study. However, RSV B genomes showed little variation with all belonging to the BA genotype. For RSV A, the same evolutionary patterns and clades were seen consistently across the whole genome including all intergenic, coding, and non-coding regions sequences. CONCLUSIONS/SIGNIFICANCE: The sequencing strategy presented in this work allows for RSV A and B genomes to be sequenced simultaneously in two working days and with a low cost. We have significantly increased the amount of genomic data that is available for both RSV A and B, providing the basic molecular characteristics of RSV strains circulating in Milwaukee over the last 13 years. This information can be used for comparative analysis with strains circulating in other communities around the world which should also help with the development of new strategies for control of RSV, specifically vaccine development and improvement of RSV diagnostics