Elena Del Tordello

Transcriptome analysis of Neisseria meningitidis in human whole blood and mutagenesis studies identify virulence factors involved in blood survival.

During infection Neisseria meningitidis (Nm) encounters multiple environments within the host, which makes rapid adaptation a crucial factor for meningococcal survival. Despite the importance of invasion into the bloodstream in the meningococcal disease process, little is known about how Nm adapts to permit survival and growth in blood. To address this, we performed a time-course transcriptome analysis using an ex vivo model of human whole blood infection. We observed that Nm alters the expression of ≈30% of ORFs of the genome and major dynamic changes were observed in the expression of transcriptional regulators, transport and binding proteins, energy metabolism, and surface-exposed virulence factors. In particular, we found that the gene encoding the regulator Fur, as well as all genes encoding iron uptake systems, were significantly up-regulated. Analysis of regulated genes encoding for surface-exposed proteins involved in Nm pathogenesis allowed us to better understand mechanisms used to circumvent host defenses. During blood infection, Nm activates genes encoding for the factor H binding proteins, fHbp and NspA, genes encoding for detoxifying enzymes such as SodC, Kat and AniA, as well as several less characterized surface-exposed proteins that might have a role in blood survival. Through mutagenesis studies of a subset of up-regulated genes we were able to identify new proteins important for survival in human blood and also to identify additional roles of previously known virulence factors in aiding survival in blood. Nm mutant strains lacking the genes encoding the hypothetical protein NMB1483 and the surface-exposed proteins NalP, Mip and NspA, the Fur regulator, the transferrin binding protein TbpB, and the L-lactate permease LctP were sensitive to killing by human blood. This increased knowledge of how Nm responds to adaptation in blood could also be helpful to develop diagnostic and therapeutic strategies to control the devastating disease cause by this microorganism.

Pseudoparticle neutralization is a reliable assay to measure immunity and cross-reactivity to H5N1 influenza viruses

The standard serological methods present limitations for the measurement of immunity against H5N1 influenza strains. The hemagglutination inhibition (HI) assay lacks sensitivity and requires standardization, while the viral micro-neutralization (MN) assay needs handling of live virus. We produced pseudoparticles expressing hemagglutinin from clades 1 or 2 H5N1 in order to measure neutralizing antibodies in human sera after prime-boost vaccination with plain or MF59-adjuvanted H5N1 clade 1 subunit vaccines. Titers measured by pseudoparticle neutralization (PPN) assay significantly correlated with those measured by HI, single radial haemolysis or MN, with a PPN titer of 1:357 corresponding to an MN titer of 1:80. Notably, results from the PPN assay, confirm that MF59-H5N1 vaccine induces potent and long-lasting neutralizing antibody responses not only against the vaccine strain, but also against several heterologous clade 2 strains. Overall, the PPN assay represents a valid alternative to conventional serological methods for the evaluation of H5N1 vaccine immunogenicity.

Influence of sequence variability on bactericidal activity sera induced by Factor H binding protein variant 1.1

Factor H binding protein (fHbp), one of the main antigens of new vaccines against serogroup B meningococcus, varies in amino acid sequence and level of expression in different clinical isolates. To evaluate the contribution of amino acid sequence variability to vaccine coverage, we constructed a strain that is susceptible to bactericidal killing only by anti-fHbp antibodies and engineered it to express equal levels of 10 different fHbp sub-variants from a constitutive promoter. Testing of these isogenic strains showed that sera from mice or adult volunteers vaccinated with fHbp variant 1.1 were bactericidal against all sub-variants 1 sequences, however the titer against the most distant sequences were several times lower. Sera from vaccinated infants were more susceptible to amino acid variations and they had lower or no bactericidal activity against the distant sub-variants 1 sequences in comparison with sera from adults given the same vaccines. The low coverage provided by fHbp could be overcome using a multicomponent vaccine. We conclude that fHbp is a very important antigen that induces bactericidal antibodies in animals, adults and infants. However, given its high variability of sequence and expression level, it is unlikely that fHbp alone can provide good protection in infants against the distant amino acid sequence variants and therefore multicomponent vaccines inducing protective immunity also against other antigens are more likely to induce a broad protective immunity in all age groups.

Neisseria meningitidis NalP cleaves human complement C3, facilitating degradation of C3b and survival in human serum

Significance The complement system is a crucial component of the innate immune response in humans. In this study, we report the characterization of an autotransporter protease of Neisseria meningitidis named NalP. We show that NalP is able to cleave the α-chain of the human complement factor C3 in a species-specific manner. As a consequence, the deposition of C3b on the bacterial surface is reduced and, in human serum, the NalP-generated C3b fragment is further degraded by host factors. Our results significantly increase the knowledge of how N. meningitidis can survive and multiply in human serum, evading the innate immune system. The complement system is a crucial component of the innate immune response against invading bacterial pathogens. The human pathogen Neisseria meningitidis (Nm) is known to possess several mechanisms to evade the complement system, including binding to complement inhibitors. In this study, we describe an additional mechanism used by Nm to evade the complement system and survive in human blood. Using an isogenic NalP deletion mutant and NalP complementing strains, we show that the autotransporter protease NalP cleaves C3, the central component of the complement cascade. The cleavage occurs 4 aa upstream from the natural C3 cleavage site and produces shorter C3a-like and longer C3b-like fragments. The C3b-like fragment is degraded in the presence of the complement regulators (factors H and I), and this degradation results in lower deposition of C3b on the bacterial surface. We conclude that NalP is an important factor to increase the survival of Nm in human serum.

Expression of factor H binding protein in meningococcal strains can vary at least 15-fold and is genetically determined

Significance Complement is the main line of defense against bacterial pathogens; however, the molecular mechanisms triggering killing are largely unknown. Factor H binding protein (fHbp) is a component of two licensed vaccines against serogroup B meningococcus and a key target of complement-mediated bacterial killing. Selected reaction monitoring was used for the absolute quantification of fHbp on invasive meningococcal strains, showing that expression among strains can vary at least 15-fold and a minimum of 757 molecules separated by not more than 130 nm are required to engage C1q and kill the bacteria. Furthermore, the amount of fHbp is genetically determined by the sequence of the promoter region and correlated with the bactericidal activity. These findings increase the understanding of complement-mediated killing and vaccine protection. Factor H binding protein (fHbp) is a lipoprotein of Neisseria meningitidis important for the survival of the bacterium in human blood and a component of two recently licensed vaccines against serogroup B meningococcus (MenB). Based on 866 different amino acid sequences this protein is divided into three variants or two families. Quantification of the protein is done by immunoassays such as ELISA or FACS that are susceptible to the sequence variation and expression level of the protein. Here, selected reaction monitoring mass spectrometry was used for the absolute quantification of fHbp in a large panel of strains representative of the population diversity of MenB. The analysis revealed that the level of fHbp expression can vary at least 15-fold and that variant 1 strains express significantly more protein than variant 2 or variant 3 strains. The susceptibility to complement-mediated killing correlated with the amount of protein expressed by the different meningococcal strains and this could be predicted from the nucleotide sequence of the promoter region. Finally, the absolute quantification allowed the calculation of the number of fHbp molecules per cell and to propose a mechanistic model of the engagement of C1q, the recognition component of the complement cascade.

Global Transcriptome Analysis Reveals Small RNAs Affecting Neisseria meningitidis Bacteremia

Most bacterial small RNAs (sRNAs) are post-transcriptional regulators involved in adaptive responses, controlling gene expression by modulating translation or stability of their target mRNAs often in concert with the RNA chaperone Hfq. Neisseria meningitides, the leading cause of bacterial meningitis, is able to adapt to different host niches during human infection. However, only a few sRNAs and their functions have been fully described to date. Recently, transcriptional expression profiling of N. meningitides in human blood ex vivo revealed 91 differentially expressed putative sRNAs. Here we expanded this analysis by performing a global transcriptome study after exposure of N. meningitides to physiologically relevant stress signals (e.g. heat shock, oxidative stress, iron and carbon source limitation). and we identified putative sRNAs that were differentially expressed in vitro. A set of 98 putative sRNAs was obtained by analyzing transcriptome data and 8 new sRNAs were validated, both by Northern blot and by primer extension techniques. Deletion of selected sRNAs caused attenuation of N. meningitides infection in the in vivo infant rat model, leading to the identification of the first sRNAs influencing meningococcal bacteremia. Further analysis indicated that one of the sRNAs affecting bacteremia responded to carbon source availability through repression by a GntR-like transcriptional regulator. Both the sRNA and the GntR-like regulator are implicated in the control of gene expression from a common network involved in energy metabolism.

Neisserial Heparin Binding Antigen (NHBA) Contributes to the Adhesion of Neisseria meningitidis to Human Epithelial Cells

Neisserial Heparin Binding Antigen (NHBA) is a surface-exposed lipoprotein ubiquitously expressed by Neisseria meningitidis strains and an antigen of the Bexsero® vaccine. NHBA binds heparin through a conserved Arg-rich region that is the target of two proteases, the meningococcal NalP and human lactoferrin (hLf). In this work, in vitro studies showed that recombinant NHBA protein was able to bind epithelial cells and mutations of the Arg-rich tract abrogated this binding. All N-terminal and C-terminal fragments generated by NalP or hLf cleavage, regardless of the presence or absence of the Arg-rich region, did not bind to cells, indicating that a correct positioning of the Arg-rich region within the full length protein is crucial. Moreover, binding was abolished when cells were treated with heparinase III, suggesting that this interaction is mediated by heparan sulfate proteoglycans (HSPGs). N. meningitidis nhba knockout strains showed a significant reduction in adhesion to epithelial cells with respect to isogenic wild-type strains and adhesion of the wild-type strain was inhibited by anti-NHBA antibodies in a dose-dependent manner. Overall, the results demonstrate that NHBA contributes to meningococcal adhesion to epithelial cells through binding to HSPGs and suggest a possible role of anti-Bexsero® antibodies in the prevention of colonization.

Functional genomics studies of the human pathogen Neisseria meningitidis

Neisseria meningitidis is a strictly human pathogen and is one of the major causes of septicemia and meningitis worldwide. Functional genomics approaches have been extensively applied to study how N. meningitidis adapts to grow and survive in different human niches encountered during the infection. DNA microarrays performed in in vitro and ex vivo conditions have revealed changes in the transcriptome profiles of N. meningitidis upon interaction with human cells and after incubation in human serum and blood. Mutagenesis studies allowed detecting mutants in genes crucial for N. meningitidis colonization and systemic infection. The analysis of N. meningitidis genomes has been also successful in the identification of vaccine candidates used to develop an effective protein-based vaccine. The application of all these approaches revealed the potential to identify new virulence factors and vaccine candidates and to assign functions to previously uncharacterized genes providing new insights in the biology and pathogenesis of N. meningitidis.

PIPE-chipSAD: A Pipeline for the Analysis of High Density Arrays of Bacterial Transcriptomes

PIPE-chipSAD is a pipeline for bacterial transcriptome studies based on high-density microarray experiments. The main algorithm chipSAD, integrates the analysis of the hybridization signal with the genomic position of probes and identifies portions of the genome transcribing for mRNAs. The pipeline includes a procedure, align-chipSAD, to build a multiple alignment of transcripts originating in the same locus in multiple experiments and provides a method to compare mRNA expression across different conditions. Finally, the pipeline includes anno-chipSAD a method to annotate the detected transcripts in comparison to the genome annotation. Overall, our pipeline allows transcriptional profile analysis of both coding and non-coding portions of the chromosome in a single framework. Importantly, due to its versatile characteristics, it will be of wide applicability to analyse, not only microarray signals, but also data from other high throughput technologies such as RNA-sequencing. The current PIPE-chipSAD implementation is written in Python programming language and is freely available at https://github.com/silviamicroarray/chipSAD.