Molecular Basis of the Divergent Immunogenicity of Two Pediatric Tick-Borne Encephalitis Virus Vaccines.

UNLABELLED: Studies evaluating the immunogenicity of two pediatric tick-borne encephalitis virus (TBEV) vaccines have reported contradictory results. These vaccines are based on two different strains of the European TBEV subtype: FSME-Immun Junior is based on the Neudörfl (Nd) strain, whereas Encepur Children is based on the Karlsruhe (K23) strain. The antibody (Ab) response induced by these two vaccines might be influenced by antigenic differences in the envelope (E) protein, which is the major target of neutralizing antibodies. We used an established hybrid virus assay platform to compare the levels of induction of neutralizing antibodies against the two vaccine virus strains in children aged 1 to 11 years who received two immunizations with FSME-Immun Junior or Encepur Children. The influence of amino acid differences between the E proteins of the Nd and K23 vaccine strains was investigated by mutational analyses and three-dimensional computer modeling. FSME-Immun Junior induced 100% seropositivity and similar neutralizing antibody titers against hybrid viruses containing the TBEV E protein of the two vaccine strains. Encepur Children induced 100% seropositivity only against the hybrid virus containing the E protein of the homologous K23 vaccine strain. Antibody responses induced by Encepur Children to the hybrid virus containing the E protein of the heterologous Nd strain were substantially and significantly (P < 0.001) lower than those to the K23 vaccine strain hybrid virus. Structure-based mutational analyses of the TBEV E protein indicated that this is due to a mutation in the DI-DII hinge region of the K23 vaccine strain E protein which may have occurred during production of the vaccine seed virus and which is not present in any wild-type TBE viruses. IMPORTANCE: Our data suggest that there are major differences in the abilities of two European subtype pediatric TBEV vaccines to induce antibodies capable of neutralizing heterologous TBEV strains. This is a result of a mutation in the DI-DII hinge region of the E protein of the K23 vaccine virus strain used to manufacture Encepur Children which is not present in the Nd strain used to manufacture FSME-Immun Junior or in any other known naturally occurring TBEVs.

MicroRNA-155-deficient dendritic cells cause less severe GVHD through reduced migration and defective inflammasome activation.

The successful treatment of acute leukemias with allogeneic hematopoietic cell transplantation (allo-HCT) is limited by acute graft-versus-host disease (GVHD). Because microRNA-155 (miR-155) regulates activation of the innate immune system, we aimed to determine its function in dendritic cells (DCs) during GVHD in an experimental model. We observed that miR-155 deficiency of the recipient led to improved survival, reduced serum levels of proinflammatory cytokines, and lower GVHD histopathology scores. In addition, miR-155(-/-) bone marrow chimeric mice receiving allo-HCT and miR-155(-/-) DCs showed that miR-155 deficiency in the DC compartment was responsible for protection from GVHD. Activated miR-155(-/-) DCs displayed lower expression of various purinergic receptors and impaired migration toward adenosine triphosphate (ATP). Microarray analysis of lipopolysaccharide/ATP-stimulated miR-155(-/-) DCs revealed mitogen-activated protein kinase pathway dysregulation and reduced inflammasome-associated gene expression. Consistent with this gene expression data, we observed reduced ERK activation, caspase-1 cleavage, and IL-1ß production in miR-155(-/-) DCs. The connection between miR-155 and inflammasome activation was supported by the fact that Nlrp3/miR-155 double-knockout allo-HCT recipient mice had no increased protection from GVHD compared with Nlrp3(-/-) recipients. This study indicates that during GVHD, miR-155 promotes DC migration toward sites of ATP release accompanied by inflammasome activation. Inhibiting proinflammatory miR-155 by antagomir treatment could help reduce this complication of allo-HCT.

The IL-33/ST2 axis augments effector T-cell responses during acute GVHD.

Interleukin (IL)-33 binding to the receptor suppression of tumorigenicity 2 (ST2) produces pro-inflammatory and anti-inflammatory effects. Increased levels of soluble ST2 (sST2) are a biomarker for steroid-refractory graft-versus-host disease (GVHD) and mortality. However, whether sST2 has a role as an immune modulator or only as a biomarker during GVHD was unclear. We show increased IL-33 production by nonhematopoietic cells in the gastrointestinal (GI) tract in mice post-conditioning and patients during GVHD. Exogenous IL-33 administration during the peak inflammatory response worsened GVHD. Conversely, GVHD lethality and tumor necrosis factor-α production was significantly reduced in il33(-/-) recipients. ST2 was upregulated on murine and human alloreactive T cells and sST2 increased as experimental GVHD progressed. Concordantly, st2(-/-) vs wild-type (WT) donor T cells had a marked reduction in GVHD lethality and GI histopathology. Alloantigen-induced IL-18 receptor upregulation was lower in st2(-/-) T cells, and linked to reduced interferon-γ production by st2(-/-) vs WT T cells during GVHD. Blockade of IL-33/ST2 interactions during allogeneic-hematopoietic cell transplantation by exogenous ST2-Fc infusions had a marked reduction in GVHD lethality, indicating a role of ST2 as a decoy receptor modulating GVHD. Together, these studies point to the IL-33/ST2 axis as a novel and potent target for GVHD therapy.

Multi-species network inference improves gene regulatory network reconstruction for early embryonic development in Drosophila.

Gene regulatory network inference uses genome-wide transcriptome measurements in response to genetic, environmental, or dynamic perturbations to predict causal regulatory influences between genes. We hypothesized that evolution also acts as a suitable network perturbation and that integration of data from multiple closely related species can lead to improved reconstruction of gene regulatory networks. To test this hypothesis, we predicted networks from temporal gene expression data for 3,610 genes measured during early embryonic development in six Drosophila species and compared predicted networks to gold standard networks of ChIP-chip and ChIP-seq interactions for developmental transcription factors in five species. We found that (i) the performance of single-species networks was independent of the species where the gold standard was measured; (ii) differences between predicted networks reflected the known phylogeny and differences in biology between the species; (iii) an integrative consensus network that minimized the total number of edge gains and losses with respect to all single-species networks performed better than any individual network. Our results show that in an evolutionarily conserved system, integration of data from comparable experiments in multiple species improves the inference of gene regulatory networks. They provide a basis for future studies on the numerous multispecies gene expression datasets for other biological processes available in the literature.

RNA control of HIV-1 particle size polydispersity.

HIV-1, an enveloped RNA virus, produces viral particles that are known to be much more heterogeneous in size than is typical of non-enveloped viruses. We present here a novel strategy to study HIV-1 Viral Like Particles (VLP) assembly by measuring the size distribution of these purified VLPs and subsequent viral cores thanks to Atomic Force Microscopy imaging and statistical analysis. This strategy allowed us to identify whether the presence of viral RNA acts as a modulator for VLPs and cores size heterogeneity in a large population of particles. These results are analyzed in the light of a recently proposed statistical physics model for the self-assembly process. In particular, our results reveal that the modulation of size distribution by the presence of viral RNA is qualitatively reproduced, suggesting therefore an entropic origin for the modulation of RNA uptake by the nascent VLP.

Post-transcriptional regulatory networks play a key role in noise reduction that is conserved from micro-organisms to mammals.

RNA-binding proteins (RBPs) are core regulators of mRNA transcript stability and translation in prokaryotes and eukaryotes alike. Genome-wide studies in yeast have shown intriguing relationships between the expression dynamics of RBPs, the structure of post-transcriptional regulatory networks of RBP-mRNA binding interactions and noise reduction in post-transcriptionally regulated expression profiles. In the present study, we assembled and compared the genomic properties of RBPs and integrated transcriptional and post-transcriptional regulatory networks in four species: Escherichia coli, yeast, mouse and human. We found that RBPs are consistently regulated to have minimal levels of protein noise, that known noise-buffering network motifs are enriched in the integrated networks and that post-transcriptional feedback loops act as regulators of other regulators. These results support a general model where RBPs are the key regulators of stochastic noise-buffering in numerous downstream cellular processes. The currently available datasets do not allow clarification of whether post-transcriptional regulation by RBPs and by noncoding RNAs plays a similar or distinct role, although we found evidence that specific combinations of transcription factors, RBPs and micro-RNAs jointly regulate known disease pathways in humans, suggesting complementarity rather than redundancy between both modes of post-transcriptional regulation.