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Modulation of macrophage/dendritic cell (DC) cytokine production by the filarial nematode phosphorylcholine (PC)-containing product, ES-62, is mediated by Toll-like receptor (TLR) 4 and signal transduction depends on the TLR adaptor MyD88. Intriguingly, comparison of TLR4 knock-out (ko) mice with TLR4 mutant C3H/HeJ mice indicates that ES-62 cytokine responses are not dependent on the Pro712 residue of TLR4, which is crucial for the response to bacterial lipopolysaccharide (LPS). Because other immunomodulatory effects of ES-62 have been attributed to PC we have now investigated, using PC conjugated to ovalbumin (PC-Ova), whether PC is responsible for the interaction of ES-62 with TLR4. PC-Ova mimicked the modulation of interleukin (IL)-12 production by ES-62 in a TLR4- and MyD88-dependent manner and as with native ES-62, PC-Ova effects were not dependent on Pro712. Furthermore, both native ES-62 and PC-Ova suppressed Akt phosphorylation, whereas neither altered the activation of p38 or Erk MAP kinases. To rule out any role for the ES-62 protein component, we tested a PC-free recombinant ES-62 (rES-62) generated in the yeast Pichia pastoris . Surprisingly, rES-62 also modulated IL-12 production, but in a TLR4/MyD88-independent manner. Furthermore, rES-62 strongly activated both the p38 and Erk MAP kinases and Akt. However, recent biophysical analysis suggests there are differences in folding/shape between native and rES-62 and hence data obtained with the latter should be treated with caution. Nevertheless, although our study indicates that PC is likely to be primarily responsible for the modulation of cytokine production observed with native ES-62, an immunomodulatory role for the protein component cannot be ruled out. [ABSTRACT FROM AUTHOR]

Two genes encoding histone H4 (H4.1 and H4.2) from Penicillium funiculosum have been cloned and characterised. Structurally, the histone H4.1 gene is divergently linked to the histone H3 gene and the two genes are separated by approximately 800 bp. The transcription of the histone H4.1 and H4.2 genes in P. funiculosum appears to be distinctively regulated. Histone H4.1 mRNA showed a high steady-state level during the early stages of batch culture that decreased as growth reached the stationary phase. In contrast, the expression of the histone H4.2 gene was lower than that of H4.1 throughout batch growth and increased gradually with time. In order to expand the industrial application of P. funiculosum as a host for the production of heterologous proteins, the promoter of the histone H4.1 gene was successfully used to drive the expression of an intracellular bacterial enzyme, β-glucuronidase, and a secreted homologous enzyme, xylanase C. The constitutive secretion of xylanase C was achieved in the absence of other xylanases by batch fermentation in the presence of glucose. [ABSTRACT FROM AUTHOR]

Insect bite hypersensitivity (IBH) is a seasonal recurrent skin allergy of horses caused by IgE-mediated reactions to allergens present in the saliva of biting insects of the genus Culicoides, and possibly also Simulium and Stomoxys species. In this work we show that protein microarrays containing complex extracts and pure proteins, including recombinant Culicoides allergens, can be used as a powerful technique for the diagnosis of IBH. Besides the obvious advantages such as general profiling and use of few microliters of samples, this microarray technique permits automation and allows the generation of mathematical models with the calculation of individual risk profiles that can support the clinical diagnosis of allergic diseases. After selection of variables on influence on the projection (VIP), the observed values of sensitivity and specificity were 1.0 and 0.967, respectively. This confirms the highly discriminatory power of this approach for IBH and made it possible to attain a robust predictive mathematical model for this disease. It also further demonstrates the specificity of the protein array method on identifying a particular IgE-mediated disease when the sensitising allergen group is known., (Copyright © 2015 Elsevier B.V. All rights reserved.)

The sera of a retrospective cohort (n=41) composed of children with well characterized cow's milk allergy collected from multiple visits were analyzed using a protein microarray system measuring four classes of immunoglobulins. The frequency of the visits, age and gender distribution reflected real situation faced by the clinicians at a pediatric reference center for food allergy in São Paulo, Brazil. The profiling array results have shown that total IgG and IgA share similar specificity whilst IgM and in particular IgE are distantly related. The correlation of specificity of IgE and IgA is variable amongst the patients and this relationship cannot be used to predict atopy or the onset of tolerance to milk. The array profiling technique has corroborated the clinical selection criteria for this cohort albeit it clearly suggested that 4 out of the 41 patients might have allergies other than milk origin. There was also a good correlation between the array data and ImmunoCAP results, casein in particular. By using qualitative and quantitative multivariate analysis routines it was possible to produce validated statistical models to predict with reasonable accuracy the onset of tolerance to milk proteins. If expanded to larger study groups, the array profiling in combination with the multivariate techniques show potential to improve the prognostic of milk allergic patients., (Copyright © 2012 Elsevier B.V. All rights reserved.)

Existing food immunoglobulin (Ig) tests require large volumes of serum, are limited to one immunoglobulin class, are not amenable to high throughput analysis and only give a limited picture of the immunological response to food antigens. Conversely a new generation of Component Resolved Diagnostic systems using pure proteins is highly specific and totally dependent on the availability of the protein in its recombinant or natural origin form. Here we demonstrate a proof-of-concept of a microarray test based on protein extracts of food components. Our approach relies on innovations on three different fronts: the novelty of using arrayed food samples sequentially extracted with detergent and chaotropic agents, the ability to measure four different Ig classes simultaneously and the ability to analyse the generated data via a suitable bioinformatics/statistical analysis interface. This approach combines high numerical power of microarrays with automation, high throughput analysis and enables detailed investigation of the Ig profiles to food antigens. The prototype shown contains extracts of approximately 350 food ingredients that cover most of the food products found in the UK. Here we showed that the use of a sequential extraction technique to solubilise and then denature food samples has its benefits in the assessment of variations in antigenicity when tested with human sera. A patient dependent degree of class specificity was observed with human sera (IgG specificity correlates well with IgA>IgM>>>>>IgE). Besides generating a simultaneous profile for IgA, IgM, IgG and IgE the array system has shown good discrimination between challenge responders in atopic and non-atopic individuals. Poly- and mono-specific IgE responders were easily identified. The mathematical modelling of specific IgE content showed good correlations when compared with established IgE antibody testing assay (UniCAP). Although in its proof-of-principle stages, the immune profiling technique described here has the potential to provide unique insights into exposure/sensitization and establish relationships between specific immunoglobulin classes and subclasses against food protein antigens. In further developments, the immune profiling technique could also be extended to other related areas such as parasite and bacterial gut infection. Full analyses of large longitudinal and retrospective clinical trials are on going to determine the positive and negative predictive values of the technique., (Copyright © 2010 Elsevier B.V. All rights reserved.)