The role of the NadR regulator during infection and its implication for the coverage of a new Meningococcus B vaccine

Background: Neisseria meningitides represents a major cause of meningitis and sepsis. The meningococcal regulator NadR was previously shown to repress the expression of the Neisserial Adhesin A (NadA) and play a major role in its phase-variation. NadA is a surface exposed protein involved in epithelial cell adhesion and colonization and a major component of 4CMenB, a novel vaccine to prevent meningococcus serogroup B infection. The NadR mediated repression of NadA is attenuated by 4-HPA, a natural molecule released in human saliva. Results: In this thesis we investigated the global role of NadR during meningogoccal infection, identifying through microarray analysis the NadR regulon. Two distinct types of NadR targets were identified, differing in their promoter architectures and 4HPA responsive activities: type I are induced, while type II are co-repressed in response to the same 4HPA signal. We then investigate the mechanism of regulation of NadR by 4-HPA, generating NadR mutants and identifying classes or residues involved in either NadR DNA binding or 4HPA responsive activities. Finally, we studied the impact of NadR mediated repression of NadA on the vaccine coverage of 4CMenB. A selected MenB strains is not killed by sera from immunized infants when the strain is grown in vitro, however, in an in vivo passive protection model, the same sera protected infant rats from bacteremia. Finally, using bioluminescent reporters, nadA expression in the infant rat model was induced in vivo at 3 h post-infection. Conclusions: Our results suggest that NadR coordinates a broad transcriptional response to signals present in the human host, enabling the meningococcus to adapt to the relevant host niche. During infectious disease the effect of the same signal on NadR changes between different targets. In particular NadA expression is induced in vivo, leading to efficient killing of meningococcus by anti-NadA antibodies elicited by the 4CMenB vaccine.

Il rapporto architettura – suolo nell’opera di Aldo Rossi

La ricerca muove dal presupposto che l’opera di Aldo Rossi sia stata analizzata finora secondo un criterio tipologico. Tale approccio è una tra le possibili chiavi di lettura del lavoro dell’architetto. Nel tentativo di individuare un’interpretazione dell’opera di Rossi legata a sistemi immutabili nel tempo si è ritenuto necessario approfondire la relazione che si stabilisce tra la sua opera e il suolo. Attraverso la definizione di due categorie di lettura dei progetti dell’autore, che si basano su continuità o discontinuità fisica del progetto rispetto al suolo, si comprende come il rapporto tra area e progetto produca nel tempo soluzioni ricorrenti. In base a questa interpretazione muro e pilastro costituiscono due elementi fondamentali del linguaggio di Rossi. Essi a loro volta si allacciano ad un sistema di riferimento più ampio di cui tettonica e arte muraria sono i capisaldi. La ricerca si articola in tre parti, all’interno delle quali sono sviluppati specifici capitoli. La prima parte, sistema di riferimento, è necessaria a delineare un vocabolario utile per isolare il tema trattato. Essa è fondamentale per comprendere la posizione occupata da Rossi rispetto alle esperienze verificatesi nel corso della storia, relativamente al rapporto spazio - architettura - suolo. La seconda parte, arte muraria, serve a mettere in luce l’influenza che la componente massiva e plastica del terreno ha determinato nella definizione di specifiche soluzioni progettuali. La terza parte, tettonica, delinea invece un approccio opposto al precedente, individuando quei progetti in cui il rapporto col suolo è stato sminuito o addirittura negato, aumentando il senso di sospensione dei volumi nello spazio. In definitiva, l’influenza che il rapporto col suolo ha determinato sulle scelte progettuali di Rossi rappresenta l’interrogativo principale di questa ricerca.

Development of control-oriented models of Dual Clutch Transmission systems

A control-oriented model of a Dual Clutch Transmission was developed for real-time Hardware In the Loop (HIL) applications, to support model-based development of the DCT controller. The model is an innovative attempt to reproduce the fast dynamics of the actuation system while maintaining a step size large enough for real-time applications. The model comprehends a detailed physical description of hydraulic circuit, clutches, synchronizers and gears, and simplified vehicle and internal combustion engine sub-models. As the oil circulating in the system has a large bulk modulus, the pressure dynamics are very fast, possibly causing instability in a real-time simulation; the same challenge involves the servo valves dynamics, due to the very small masses of the moving elements. Therefore, the hydraulic circuit model has been modified and simplified without losing physical validity, in order to adapt it to the real-time simulation requirements. The results of offline simulations have been compared to on-board measurements to verify the validity of the developed model, that was then implemented in a HIL system and connected to the TCU (Transmission Control Unit). Several tests have been performed: electrical failure tests on sensors and actuators, hydraulic and mechanical failure tests on hydraulic valves, clutches and synchronizers, and application tests comprehending all the main features of the control performed by the TCU. Being based on physical laws, in every condition the model simulates a plausible reaction of the system. The first intensive use of the HIL application led to the validation of the new safety strategies implemented inside the TCU software. A test automation procedure has been developed to permit the execution of a pattern of tests without the interaction of the user; fully repeatable tests can be performed for non-regression verification, allowing the testing of new software releases in fully automatic mode.

A numerical methodology for the multi-objective optimization of the DI Diesel engine combustion

DI Diesel engine are widely used both for industrial and automotive applications due to their durability and fuel economy. Nonetheless, increasing environmental concerns force that type of engine to comply with increasingly demanding emission limits, so that, it has become mandatory to develop a robust design methodology of the DI Diesel combustion system focused on reduction of soot and NOx simultaneously while maintaining a reasonable fuel economy. In recent years, genetic algorithms and CFD three-dimensional combustion simulations have been successfully applied to that kind of problem. However, combining GAs optimization with actual CFD three-dimensional combustion simulations can be too onerous since a large number of calculations is usually needed for the genetic algorithm to converge, resulting in a high computational cost and, thus, limiting the suitability of this method for industrial processes. In order to make the optimization process less time-consuming, CFD simulations can be more conveniently used to generate a training set for the learning process of an artificial neural network which, once correctly trained, can be used to forecast the engine outputs as a function of the design parameters during a GA optimization performing a so-called virtual optimization. In the current work, a numerical methodology for the multi-objective virtual optimization of the combustion of an automotive DI Diesel engine, which relies on artificial neural networks and genetic algorithms, was developed.

Meccanismi replicativi e di regolazione dell'espressione genica di Parvovirus B19

Il Parvovirus B19, virus patogeno umano della famiglia Parvoviridae, mostra uno specifico tropismo per i precursori eritroidi e una limitata replicazione in alcune linee cellulari megacarioblastoidi. Allo scopo di sviluppare sistemi utili allo studio delle caratteristiche biologiche del virus, diversi laboratori si sono occupati della costruzione di cloni genomici di B19 dotati di competenza funzionale e capaci di generare virus infettante. Parte del presente lavoro ha riguardato l’analisi funzionale di diversi cloni genomici di B19 e ha permesso di caratterizzare le regioni terminali del virus e di identificare requisiti essenziali per la loro funzionalità. Nel contesto intracellulare, esistono differenti livelli di restrizione in relazione alla capacità della cellula di supportare la replicazione virale, non ancora del tutto caratterizzati. Inoltre si sono accumulate evidenze circa la capacità del B19 di instaurare persistenza in numerosi tessuti. Non sono ancora note le caratteristiche funzionali del genoma virale in questo stato, è possibile che il virus persista in forma silente e meccanismi epigenetici possano regolare tale silenziamento. In questo studio è stato analizzato lo stato di metilazione del genoma di B19 e il suo possibile effetto sul ciclo replicativo virale ed è stata investigata la possibile associazione del DNA virale agli istoni cellulari nel corso di infezione in vitro. I risultati ottenuti confermano la presenza di questi meccanismi epigenetici, potendo ipotizzare che giochino un importante ruolo nella regolazione della funzionalità virale e nell’interazione B19-cellula e siano un elemento critico per l’adattamento del virus nell’ambiente in cui si trova. Inoltre l’ipotesi che anche i microRNA possano assumere un importante significato nell’interazione B19-cellula è stata proposta da diversi lavori e nel presente studio è stata valutata la produzione di queste piccole molecole durante l'infezione in vitro, ricercando microRNA (cellulari e/o virali) con omologia di sequenza per il genoma di B19 e quindi specifici per il virus.

Efficient ultrasonic signal processing techniques for aided medical diagnostics

Ultrasound imaging is widely used in medical diagnostics as it is the fastest, least invasive, and least expensive imaging modality. However, ultrasound images are intrinsically difficult to be interpreted. In this scenario, Computer Aided Detection (CAD) systems can be used to support physicians during diagnosis providing them a second opinion. This thesis discusses efficient ultrasound processing techniques for computer aided medical diagnostics, focusing on two major topics: (i) Ultrasound Tissue Characterization (UTC), aimed at characterizing and differentiating between healthy and diseased tissue; (ii) Ultrasound Image Segmentation (UIS), aimed at detecting the boundaries of anatomical structures to automatically measure organ dimensions and compute clinically relevant functional indices. Research on UTC produced a CAD tool for Prostate Cancer detection to improve the biopsy protocol. In particular, this thesis contributes with: (i) the development of a robust classification system; (ii) the exploitation of parallel computing on GPU for real-time performance; (iii) the introduction of both an innovative Semi-Supervised Learning algorithm and a novel supervised/semi-supervised learning scheme for CAD system training that improve system performance reducing data collection effort and avoiding collected data wasting. The tool provides physicians a risk map highlighting suspect tissue areas, allowing them to perform a lesion-directed biopsy. Clinical validation demonstrated the system validity as a diagnostic support tool and its effectiveness at reducing the number of biopsy cores requested for an accurate diagnosis. For UIS the research developed a heart disease diagnostic tool based on Real-Time 3D Echocardiography. Thesis contributions to this application are: (i) the development of an automated GPU based level-set segmentation framework for 3D images; (ii) the application of this framework to the myocardium segmentation. Experimental results showed the high efficiency and flexibility of the proposed framework. Its effectiveness as a tool for quantitative analysis of 3D cardiac morphology and function was demonstrated through clinical validation.

Diversity of cwp loci in clinical isolates of Clostridium difficile

An increased incidence of Clostridium difficile infection (CDI) is associated with the emergence of epidemic strains characterised by high genetic diversity. Among the factors that may have a role in CDI there is a family of 29 paralogs, the cell wall proteins (CWPs), which compose the outer layer of the bacterial cell and are likely to be involved in colonisation. Previous studies have shown that 12 of the29 cwp genes are clustered in the same region, named after slpA (cwp1) the slpA locus, whereas the remaining 17 paralogs are distributed throughout the genome. The variability of 14 of these 17 cwp paralogs was determined in 40 C. difficile clinical isolates belonging to six of the currently prevailing PCR ribotypes. Based on sequence conservation, these cwp genes were divided into two groups, one comprising cwp loci having highly conserved sequences in all isolates, and the other 5 loci showing low genetic conservation between isolates of the same PCR ribotype as well as between different PCR ribotypes. Three conserved CWPs, Cwp16, Cwp18 and Cwp25, and two variable ones, Cwp26 and Cwp27, were characterised further by Western blot analysis of total cell extracts or S-layer preparations of the C. difficile clinical isolates. Expression of genetically invariable CWPs is well conserved in all isolates, while genetically variable CWPs are not always expressed at comparable levels even in strains containing identical sequences but belonging to different PCR ribotypes. In addition, we chose to analyse the immune response obtained in a protection experiment, carried out in hamsters, using a protein microarray approach to study the in vivo expression and the immunoreactivity of several surface proteins, including 18 Cwps.

High-Speed Laser Processing of Thin Single and Multi-Layer Films

Theoretical models are developed for the continuous-wave and pulsed laser incision and cut of thin single and multi-layer films. A one-dimensional steady-state model establishes the theoretical foundations of the problem by combining a power-balance integral with heat flow in the direction of laser motion. In this approach, classical modelling methods for laser processing are extended by introducing multi-layer optical absorption and thermal properties. The calculation domain is consequently divided in correspondence with the progressive removal of individual layers. A second, time-domain numerical model for the short-pulse laser ablation of metals accounts for changes in optical and thermal properties during a single laser pulse. With sufficient fluence, the target surface is heated towards its critical temperature and homogeneous boiling or "phase explosion" takes place. Improvements are seen over previous works with the more accurate calculation of optical absorption and shielding of the incident beam by the ablation products. A third, general time-domain numerical laser processing model combines ablation depth and energy absorption data from the short-pulse model with two-dimensional heat flow in an arbitrary multi-layer structure. Layer removal is the result of both progressive short-pulse ablation and classical vaporisation due to long-term heating of the sample. At low velocity, pulsed laser exposure of multi-layer films comprising aluminium-plastic and aluminium-paper are found to be characterised by short-pulse ablation of the metallic layer and vaporisation or degradation of the others due to thermal conduction from the former. At high velocity, all layers of the two films are ultimately removed by vaporisation or degradation as the average beam power is increased to achieve a complete cut. The transition velocity between the two characteristic removal types is shown to be a function of the pulse repetition rate. An experimental investigation validates the simulation results and provides new laser processing data for some typical packaging materials.

Monitoring Complex Processes to Verify System Conformance: A Declarative Rule-Based Framework

Over the last 60 years, computers and software have favoured incredible advancements in every field. Nowadays, however, these systems are so complicated that it is difficult – if not challenging – to understand whether they meet some requirement or are able to show some desired behaviour or property. This dissertation introduces a Just-In-Time (JIT) a posteriori approach to perform the conformance check to identify any deviation from the desired behaviour as soon as possible, and possibly apply some corrections. The declarative framework that implements our approach – entirely developed on the promising open source forward-chaining Production Rule System (PRS) named Drools – consists of three components: 1. a monitoring module based on a novel, efficient implementation of Event Calculus (EC), 2. a general purpose hybrid reasoning module (the first of its genre) merging temporal, semantic, fuzzy and rule-based reasoning, 3. a logic formalism based on the concept of expectations introducing Event-Condition-Expectation rules (ECE-rules) to assess the global conformance of a system. The framework is also accompanied by an optional module that provides Probabilistic Inductive Logic Programming (PILP). By shifting the conformance check from after execution to just in time, this approach combines the advantages of many a posteriori and a priori methods proposed in literature. Quite remarkably, if the corrective actions are explicitly given, the reactive nature of this methodology allows to reconcile any deviations from the desired behaviour as soon as it is detected. In conclusion, the proposed methodology brings some advancements to solve the problem of the conformance checking, helping to fill the gap between humans and the increasingly complex technology.

Conjugation of Toll Like Receptor 7 agonist through conjugation to immunogenic proteins. Synthesis, characterization, formulation and pre-clinical evaluation

The next generation of vaccine adjuvant are represented by a wide ranging set of molecules called Toll like agonists (TLR’s). Although many of these molecules are complex structures extracted from microorganisms, small molecule TLR agonists have also been identified. However, delivery systems have not been optimized to allow their effective delivery in conjunction with antigens. Here we describe a novel approach in which a small molecule TLR agonist has been conjugated directly to antigens to ensure effective co delivery. We describe the conjugation of a relevant protein, a recombinant protective antigen from S.pneumoniae (RrgB), which is linked to a TLR7 agonist. Following thorough characterization to ensure there was no aggregation, the conjugate was evaluated in a murine infection model. Results showed that the conjugate extended animals’ survival after lethal challenge with S.pneumoniae. Comparable results were obtained with a 10 fold lower dose than that of the native unconjugated antigen. Notably, the animals immunized with the same dose of unconjugated TLR7 agonist and antigen showed no adjuvant effect. The increased immunogenicity was likely a consequence of the co-localization of TLR7 agonist and antigen by chemical binding and is was more effective than simple co-administration. Likely, this approach can be adopted to reduce the dose of antigen required to induce protective immunity, and potentially increase the safety of a broad variety of vaccine candidates

The silent survival of Staphylococcus aureus phagocyted by HL-60 derived neutrophils

Staphylococcus aureus is a Gram positive pathogen that causes various human infections and represents one of the most common causes of bacteremia. S. aureus is able to invade a variety of non-professional phagocytes and that can survive engulfment by neutrophils, producing both secreted and surface components that compromise innate immune responses. In the contest of our study we evaluated the functional activity of vaccine specific antibodies by opsonophagocytosis killing assay (OPKA). Interestingly a low level of killing of the staphylococcal cells has been observed. In the meanwhile intracellular survival studies showed that S. aureus persisted inside phagocytes for several hours until a burst of growth after 5 hours in the supernatant. These data suggest that the strong ability of S. aureus to survive in the phagocytes could be the cause of the low killing measured by OPKA. Moreover parallel studies on HL-60 cells infected with S. aureus done by using transmission electron microscopy (TEM) interestingly showed that staphylococcal cells have an intracellular localization (endosomal vacuoles) and that they are able not only to maintain the integrity of their membrane but also to replicate inside vacuolar compartments. Finally in order to generate 3D volume of whole bacteria when present inside neutrophilic vacuoles, we collected a series of tomographic two-dimensional (2D) images by using a transmission electron microscope, generating 5 different tomograms. The three-dimensional reconstruction reveals the presence of intact bacteria within neutrophil vacuoles. The S. aureus membrane appears completely undamaged and integral in contrast with the physiological process of phagosytosis through vacuoles progression. S. aureus bacteria show a homogenous distribution of the density in all the three dimensions (X, Y, Z). All these evidences definitely explain the ability of the pathogen to survive inside the endosomal vacuoles and should be the cause of the low killing level.

Characterization of fold-related fractures in the carbonate rocks of the Cingoli anticline, northern Apennines, Italy

Thrust fault-related folds in carbonate rocks are characterized by deformation accommodated by different structures, such as joints, faults, pressure solution seams, and deformation bands. Defining the development of fracture systems related to the folding process is significant both for theoretical and practical purposes. Fracture systems are useful constrains in order to understand the kinematical evolution of the fold. Furthermore, understanding the relationships between folding and fracturing provides a noteworthy contribution for reconstructing the geodynamic and the structural evolution of the studied area. Moreover, as fold-related fractures influence fluid flow through rocks, fracture systems are relevant for energy production (geothermal studies, methane and CO2 , storage and hydrocarbon exploration), environmental and social issues (pollutant distribution, aquifer characterization). The PhD project shows results of a study carried out in a multilayer carbonate anticline characterized by different mechanical properties. The aim of this study is to understand the factors which influence the fracture formation and to define their temporal sequence during the folding process. The studied are is located in the Cingoli anticline (Northern Apennines), which is characterized by a pelagic multilayer characterized by sequences with different mechanical stratigraphies. A multi-scale analysis has been made in several outcrops located in different structural positions. This project shows that the conceptual sketches proposed in literature and the strain distribution models outline well the geometrical orientation of most of the set of fractures observed in the Cingoli anticline. On the other hand, the present work suggests the relevance of the mechanical stratigraphy in particular controlling the type of fractures formed (e.g. pressure solution seams, joints or shear fractures) and their subsequent evolution. Through a multi-scale analysis, and on the basis of the temporal relationship between fracture sets and their orientation respect layering, I also suggest a conceptual model for fracture systems formation.

Functional and Genetic characterization of new genomic islands from an E. coli strain associated with neonatal meningitis.

Enterobacteriaceae genomes evolve through mutations, rearrangements and horizontal gene transfer (HGT). The latter evolutionary pathway works through the acquisition DNA (GEI) modules of foreign origin that enhances fitness of the host to a given environment. The genome of E. coli IHE3034, a strain isolated from a case of neonatal meningitis, has recently been sequenced and its subsequent sequence analysis has predicted 18 possible GEIs, of which: 8 have not been previously described, 5 fully meet the pathogenic island definition and at least 10 that seem to be of prophagic origin. In order to study the GEI distribution of our reference strain, we screened for the presence 18 GEIs a panel of 132 strains, representative of E. coli diversity. Also, using an inverse nested PCR approach we identified 9 GEI that can form an extrachromosomal circular intermediate (CI) and their respective attachment sites (att). Further, we set up a qPCR approach that allowed us to determine the excision rates of 5 genomic islands in different growth conditions. Four islands, specific for strains appertaining to the sequence type complex 95 (STC95), have been deleted in order to assess their function in a Dictyostelium discoideum grazing assays. Overall, the distribution data presented here indicate that 16 IHE3034 GEIs are more associated to the STC95 strains. Also the functional and genetic characterization has uncovered that GEI 13, 17 and 19 are involved in the resistance to phagocitation by Dictyostelium d thus suggesting a possible role in the adaptation of the pathogen during certain stages of infection.

Pervasive Sensing in Future Networks

Pervasive Sensing is a recent research trend that aims at providing widespread computing and sensing capabilities to enable the creation of smart environments that can sense, process, and act by considering input coming from both people and devices. The capabilities necessary for Pervasive Sensing are nowadays available on a plethora of devices, from embedded devices to PCs and smartphones. The wide availability of new devices and the large amount of data they can access enable a wide range of novel services in different areas, spanning from simple data collection systems to socially-aware collaborative filtering. However, the strong heterogeneity and unreliability of devices and sensors poses significant challenges. So far, existing works on Pervasive Sensing have focused only on limited portions of the whole stack of available devices and data that they can use, to propose and develop mainly vertical solutions. The push from academia and industry for this kind of services shows that time is mature for a more general support framework for Pervasive Sensing solutions able to enhance frail architectures, promote a well balanced usage of resources on different devices, and enable the widest possible access to sensed data, while ensuring a minimal energy consumption on battery-operated devices. This thesis focuses on pervasive sensing systems to extract design guidelines as foundation of a comprehensive reference model for multi-tier Pervasive Sensing applications. The validity of the proposed model is tested in five different scenarios that present peculiar and different requirements, and different hardware and sensors. The ease of mapping from the proposed logical model to the real implementations and the positive performance result campaigns prove the quality of the proposed approach and offer a reliable reference model, together with a direction for the design and deployment of future Pervasive Sensing applications.

Identification and functional characterization of human cytomegalovirus Fc binding proteins

ABSTRACT Human cytomegalovirus (HCMV) employs many different mechanisms to escape and subvert the host immune system surveillance. Among these different mechanisms the role of human IgG Fc receptors (FcγR) in HCMV pathogenesis is still unclear. In mammalians, FcγRs are expressed on the surface of all haematopoietic cells and have a multifaceted role in regulating the activity of antibodies to generate a well-balanced immune response. Viral proteins with Fcγ binding ability are highly diffuse among herpesviruses. They interfere with the host receptors functions in order to counteract immune system recognition. So far, two human HCMV Fcγ binding proteins have been described: UL119 and RL11. This work was aimed to the identification and characterization of HCMV Fcγ binding proteins. The study is divided in two parts: first the characterization of UL119 and RL11; second the identification and characterization of novel HCMV Fcγ binding proteins. Regarding the first part, we demonstrated that both UL119 and RL11 internalize Fcγ fragments from transfected cells surface through a clathrin dependent pathway. In infected cells both proteins were found in the viral assembly complex and on virions surface as envelope associated glycoproteins. Moreover, internalized Fcγ in infected cells do not undergo lysosomal degradation but rather traffic in early endosomes up to the viral assembly complex. Regarding the second part, we were able to identify two novels Fcγ binding protein coded by CMV: RL12 and RL13. The latter was also further characterized as recombinant protein in terms of cellular localization, Fc binding site and IgG internalization ability. Finally binding specificity of both RL12 and RL13 seems to be confined to human IgG1 and IgG2. Taken together, these data show that HCMV codes for up to 4 FcγR and that they could have a double role both on virus and on infected cells.