A locus on chromosome 10 influences C-reactive protein levels in two independent populations

High sensitivity C-reactive protein (hsCRP) is an independent risk factor for cardiovascular disease, such as stroke or coronary artery disease. Genetic factors influence significantly the inter-individual variability of hsCRP. The aim of this study was to identify genomic regions influencing hsCRP levels. A genome scan was performed in two independent studies of Caucasian populations, namely 513 Western-European families ascertained for myocardial infarction (n = 1,406) and 120 French-Canadian families diagnosed with hypertension (n = 758). In the myocardial infarction families, 31% of the inter-individual variation of hsCRP levels was explained by genetic factors (P = 0.0000015) and loci influencing hsCRP were identified on chromosomes 10 (at 141 cM) and 5 (at 150 cM) with multipoint LOD scores of 3.15 and 2.23, respectively. An additional suggestive signal was detected on chromosome 2 in subset analyses. A similar degree of heritability has been observed in a second independent population of French-Canadian hypertensive families for hsCRP (30%) and linkage results for chromosome 10 were confirmed with maximum LOD score of 2.7. We identified a chromosomal region in two independent populations which influences hsCRP in addition to several unique regions. This provides targets for the identification of genes involved in the regulation of hsCRP and the development and progression of vascular disease, including stroke. Ulrich Broeckel and Christian Hengstenberg contributed equally.     

Characterization of the peptide-binding specificity of the chimpanzee class I alleles A*0301 and A*0401 using a combinatorial peptide library

Chimpanzees represent important models for studying several human pathogens. In the present study, we utilized a combinatorial peptide library to characterize the binding specificities of the chimpanzee class I molecules Patr A 0301 and A 0401, both of which are present in about 17% of chimpanzees. Patr A 0301 was found to recognize peptides using the canonical position 2/C-terminus spacing, with the small residues S, T, and A being the most preferred in position 2, and the positively charged residues R and K preferred at the C terminus. Patr A 0401 was found to recognize a more complex motif where the C terminus and then the residue in positions 1 and/or 5 are the primary anchors. Like A 0301, the C-terminal preference of A 0401 is for positively charged residues. At positions 1 and 5, positively charged and large residues are the most preferred, respectively. Coefficient values derived from the combinatorial library proved to be an efficient means for predicting A 0301 and A 0401 binders. The present data provide detailed information to facilitate the identification of potential T cell epitopes recognized in the context of two common chimpanzee class I alleles, and further validate the combinatorial library approach as an efficient method to characterize class I binding specificities.     

Neural basis of the ventriloquist illusion

The ventriloquist creates the illusion that his or her voice emerges from the visibly moving mouth of the puppet [1]. This well-known illusion exemplifies a basic principle of how auditory and visual information is integrated in the brain to form a unified multimodal percept. When auditory and visual stimuli occur simultaneously at different locations, the more spatially precise visual information dominates the perceived location of the multimodal event. Previous studies have examined neural interactions between spatially disparate auditory and visual stimuli [2-5], but none has found evidence for a visual influence on the auditory cortex that could be directly linked to the illusion of a shifted auditory percept. Here we utilized event-related brain potentials combined with event-related functional magnetic resonance imaging to demonstrate on a trial-by-trial basis that a precisely timed biasing of the left-right balance of auditory cortex activity by the discrepant visual input underlies the ventriloquist illusion. This cortical biasing may reflect a fundamental mechanism for integrating the auditory and visual components of environmental events, which ensures that the sounds are adaptively localized to the more reliable position provided by the visual input.     

Towards the prediction of non-peptidic epitopes

In-silico methods for the prediction of epitopes can support and improve workflows for vaccine design, antibody production, and disease therapy. So far, the scope of B cell and T cell epitope prediction has been directed exclusively towards peptidic antigens. Nevertheless, various non-peptidic molecular classes can be recognized by immune cells. These compounds have not been systematically studied yet, and prediction approaches are lacking. The ability to predict the epitope activity of non-peptidic compounds could have vast implications; for example, for immunogenic risk assessment of the vast number of drugs and other xenobiotics. Here we present the first general attempt to predict the epitope activity of non-peptidic compounds using the Immune Epitope Database (IEDB) as a source for positive samples. The molecules stored in the Chemical Entities of Biological Interest (ChEBI) database were chosen as background samples. The molecules were clustered into eight homogeneous molecular groups, and classifiers were built for each cluster with the aim of separating the epitopes from the background. Different molecular feature encoding schemes and machine learning models were compared against each other. For those models where a high performance could be achieved based on simple decision rules, the molecular features were then further investigated. Additionally, the findings were used to build a web server that allows for the immunogenic investigation of non-peptidic molecules (http://tools-staging.iedb.org/np_epitope_predictor). The prediction quality was tested with samples from independent evaluation datasets, and the implemented method received noteworthy Receiver Operating Characteristic-Area Under Curve (ROC-AUC) values, ranging from 0.69–0.96 depending on the molecule cluster.     

Temporal Intra-Individual Variation of Immunological Biomarkers in Type 1 Diabetes Patients: Implications for Future Use in Cross-Sectional Assessment

Multiple immune parameters such as frequencies of autoreactive CD4⁺, CD8⁺ T-cells and CD4⁺CD25⁺Foxp3⁺ T-cells have been explored as biomarkers in human T1D. However, intra-individual temporal variation of these parameters has not been assessed systematically over time. We determined the variation in each of these parameters in a cohort of T1D and healthy donors (HDs), at monthly intervals for one year. Despite low intra- and inter-assay co-efficient of variation (CV), mean CVs for each of the immune parameters were 119.1% for CD4⁺ T-cell-derived IFN-γ, 50.44% for autoreactive CD8⁺ T-cells, and 31.24% for CD4⁺CD25⁺Foxp3⁺ T-cells. Further, both HDs and T1D donors had similar CVs. The variation neither correlated with BMI, age, disease duration or insulin usage, nor were there detectable cyclical patterns of variation. However, averaging results from multiple visits for an individual provided a better estimate of the CV between visits. Based on our data we predict that by averaging values from three visits a treatment effect on these parameters with a 50% effect size could be detected with the same power using 1.8–4-fold fewer patients within a trial compared to using values from a single visit. Thus, our present data contribute to a more robust, accurate endpoint design for future clinical trials in T1D and aid in the identification of truly efficacious therapies.     

Immune Responses in Acute and Convalescent Patients with Mild,Moderate and Severe Disease during the 2009 Influenza Pandemic in Norway

Increased understanding of immune responses influencing clinical severity during pandemic influenza infection is important for improved treatment and vaccine development. In this study we recruited 46 adult patients during the 2009 influenza pandemic and characterized humoral and cellular immune responses. Those included were either acute hospitalized or convalescent patients with different disease severities (mild, moderate or severe). In general, protective antibody responses increased with enhanced disease severity. In the acute patients, we found higher levels of TNF-α single-producing CD4⁺T-cells in the severely ill as compared to patients with moderate disease. Stimulation of peripheral blood mononuclear cells (PBMC) from a subset of acute patients with peptide T-cell epitopes showed significantly lower frequencies of influenza specific CD8⁺ compared with CD4⁺ IFN-γ T-cells in acute patients. Both T-cell subsets were predominantly directed against the envelope antigens (HA and NA). However, in the convalescent patients we found high levels of both CD4⁺ and CD8⁺ T-cells directed against conserved core antigens (NP, PA, PB, and M). The results indicate that the antigen targets recognized by the T-cell subsets may vary according to the phase of infection. The apparent low levels of cross-reactive CD8⁺ T-cells recognizing internal antigens in acute hospitalized patients suggest an important role for this T-cell subset in protective immunity against influenza.