β-lactam antibiotics epitope mapping with STD NMR spectroscopy: A study of drug-human serum albumin interaction

Molecular recognition events are key issues in many biological processes. STD NMR (saturation transfer difference nuclear magnetic resonance spectroscopy) is one of the techniques used to understand such biological interactions. Herein, we have investigated the interactions of four β-lactam antibiotics belonging to two classes (cephalosporins and penicillins) with human serum albumin (HSA) by 1H STD NMR revealing that the interaction between the aromatic moiety and HSA is responsible for the binding efficiency. Thus, the structural differences from the five to six-membered thio ring in penicillins and cephalosporins do not seem to influence antibiotic-albumin interactions. © 2012 Sociedade Brasileira de Química.

Evaluating interaction with websites: Case study of a government website of the Brazilian Ministry of labor and employment

This paper presents a usability evaluation of the MTE (Ministry of Labor e Employment) website in order to measure the effectiveness, efficiency and user satisfaction regarding the website. The participants were 12 users (07 users were female and 05 male). The results indicate that although the education level of all participants and computing experience, many of them have had difficulty in finding information and do not recommend the site. © 2013 Springer-Verlag Berlin Heidelberg.

Computer graphics applied to anatomy: a study of two bio-cad modeling methods on finite element analysis of human edentulous hemi-mandible

Modeling is a step to perform a finite element analysis. Different methods of model construction are reported in literature, as the Bio-CAD modeling. The purpose of this study was to perform a model evaluation and application using two methods of Bio-CAD modeling from human edentulous hemi-mandible on the finite element analysis. From CT scans of dried human skull was reconstructed a stereolithographic model. Two methods of modeling were performed: STL conversion approach (Model 1) associated to STL simplification and reverse engineering approach (Model 2). For finite element analysis was used the action of lateral pterygoid muscle as loading condition to assess total displacement (D), equivalent von-Mises stress (VM) and maximum principal stress (MP). Two models presented differences on the geometry regarding surface number (1834 (model 1); 282 (model 2)). Were observed differences in finite element mesh regarding element number (30428 nodes/16683 elements (model 1); 15801 nodes/8410 elements (model 2). D, VM and MP stress areas presented similar distribution in two models. The values were different regarding maximum and minimum values of D (ranging 0-0.511 mm (model 1) and 0-0.544 mm (model 2), VM stress (6.36E-04-11.4 MPa (model 1) and 2.15E-04-14.7 MPa (model 2) and MP stress (-1.43-9.14 MPa (model 1) and -1.2-11.6 MPa (model 2). From two methods of Bio-CAD modeling, the reverse engineering presented better anatomical representation compared to the STL conversion approach. The models presented differences in the finite element mesh, total displacement and stress distribution.

Jacalin interaction with human immunoglobulin A1 and bovine immunoglobulin G1: Affinity constant determined by piezoelectric biosensoring

The affinity of the d-galactose-binding lectin from Artocarpus heterophyllus lectin, known as jacalin, with immonuglobulins (Igs) was determined by biofunctionalization of a piezoelectric transducer. This piezoelectric biofunctionalized transducer was used as a mass-sensitive analytical tool, allowing the real-time binding analysis of jacalin-human immunoglobulin A1 (IgA(1)) and jacalin-bovine IgG(1) interactions from which the apparent affinity constant was calculated. The strategy was centered in immobilizing jacalin on the gold electrode's surface of the piezoelectric crystal resonator using appropriate procedures based on self-assembling of 11-mercaptoundecanoic acid and 2-mercaptoethanol thiol's mixture, a particular immobilization strategy by which it was possible to avoid cross-interaction between the proteins over electrode's surface. The apparent affinity constants obtained between jacalin-human IgA(1) and jacalin-bovine IgG(1) differed by 1 order of magnitude [(8.0 +/- 0.9) x 10(5) vs (8.3 +/- 0.1) x 10(6) L mol(-1)]. On the other hand, the difference found between human IgA(1) and human IgA(2) interaction with jacalin, eight times higher for IgA(1), was attributed to the presence of O-linked glycans in the IgA(1) hinge region, which is absent in IgA(2). Specific interaction of jacalin with O-glycans, proved to be present in the human IgA(1) and hypothetically present in bovine IgG(1) structures, is discussed as responsible for the obtained affinity values.

Human eosinophil adhesion and degranulation stimulated with eotaxin and RANTES in vitro: Lack of interaction with nitric oxide

Abstract Background Airway eosinophilia is considered a central event in the pathogenesis of asthma. The toxic components of eosinophils are thought to be important in inducing bronchial mucosal injury and dysfunction. Previous studies have suggested an interaction between nitric oxide (NO) and chemokines in modulating eosinophil functions, but this is still conflicting. In the present study, we have carried out functional assays (adhesion and degranulation) and flow cytometry analysis of adhesion molecules (VLA-4 and Mac-1 expression) to evaluate the interactions between NO and CC-chemokines (eotaxin and RANTES) in human eosinophils. Methods Eosinophils were purified using a percoll gradient followed by immunomagnetic cell separator. Cell adhesion and degranulation were evaluated by measuring eosinophil peroxidase (EPO) activity, whereas expression of Mac-1 and VLA-4 was detected using flow cytometry. Results At 4 h incubation, both eotaxin (100 ng/ml) and RANTES (1000 ng/ml) increased by 133% and 131% eosinophil adhesion, respectively. L-NAME alone (but not D-NAME) also increased the eosinophil adhesion, but the co-incubation of L-NAME with eotaxin or RANTES did not further affect the increased adhesion seen with chemokines alone. In addition, L-NAME alone (but not D-NAME) caused a significant cell degranulation, but it did not affect the CC-chemokine-induced cell degranulation. Incubation of eosinophils with eotaxin or RANTES, in absence or presence of L-NAME, did not affect the expression of VLA-4 and Mac-1 on eosinophil surface. Eotaxin and RANTES (100 ng/ml each) also failed to elevate the cyclic GMP levels above baseline in human eosinophils. Conclusion Eotaxin and RANTES increase the eosinophil adhesion to fibronectin-coated plates and promote cell degranulation by NO-independent mechanisms. The failure of CC-chemokines to affect VLA-4 and Mac-1 expression suggests that changes in integrin function (avidity or affinity) are rather involved in the enhanced adhesion.

Body ares networks for human motor assessment

Healthcare, Human Computer Interfaces (HCI), Security and Biometry are the most promising application scenario directly involved in the Body Area Networks (BANs) evolution. Both wearable devices and sensors directly integrated in garments envision a word in which each of us is supervised by an invisible assistant monitoring our health and daily-life activities. New opportunities are enabled because improvements in sensors miniaturization and transmission efficiency of the wireless protocols, that achieved the integration of high computational power aboard independent, energy-autonomous, small form factor devices. Application’s purposes are various: (I) data collection to achieve off-line knowledge discovery; (II) user notification of his/her activities or in case a danger occurs; (III) biofeedback rehabilitation; (IV) remote alarm activation in case the subject need assistance; (V) introduction of a more natural interaction with the surrounding computerized environment; (VI) users identification by physiological or behavioral characteristics. Telemedicine and mHealth [1] are two of the leading concepts directly related to healthcare. The capability to borne unobtrusiveness objects supports users’ autonomy. A new sense of freedom is shown to the user, not only supported by a psychological help but a real safety improvement. Furthermore, medical community aims the introduction of new devices to innovate patient treatments. In particular, the extension of the ambulatory analysis in the real life scenario by proving continuous acquisition. The wide diffusion of emerging wellness portable equipment extended the usability of wearable devices also for fitness and training by monitoring user performance on the working task. The learning of the right execution techniques related to work, sport, music can be supported by an electronic trainer furnishing the adequate aid. HCIs made real the concept of Ubiquitous, Pervasive Computing and Calm Technology introduced in the 1988 by Marc Weiser and John Seeley Brown. They promotes the creation of pervasive environments, enhancing the human experience. Context aware, adaptive and proactive environments serve and help people by becoming sensitive and reactive to their presence, since electronics is ubiquitous and deployed everywhere. In this thesis we pay attention to the integration of all the aspects involved in a BAN development. Starting from the choice of sensors we design the node, configure the radio network, implement real-time data analysis and provide a feedback to the user. We present algorithms to be implemented in wearable assistant for posture and gait analysis and to provide assistance on different walking conditions, preventing falls. Our aim, expressed by the idea to contribute at the development of a non proprietary solutions, driven us to integrate commercial and standard solutions in our devices. We use sensors available on the market and avoided to design specialized sensors in ASIC technologies. We employ standard radio protocol and open source projects when it was achieved. The specific contributions of the PhD research activities are presented and discussed in the following. • We have designed and build several wireless sensor node providing both sensing and actuator capability making the focus on the flexibility, small form factor and low power consumption. The key idea was to develop a simple and general purpose architecture for rapid analysis, prototyping and deployment of BAN solutions. Two different sensing units are integrated: kinematic (3D accelerometer and 3D gyroscopes) and kinetic (foot-floor contact pressure forces). Two kind of feedbacks were implemented: audio and vibrotactile. • Since the system built is a suitable platform for testing and measuring the features and the constraints of a sensor network (radio communication, network protocols, power consumption and autonomy), we made a comparison between Bluetooth and ZigBee performance in terms of throughput and energy efficiency. Test in the field evaluate the usability in the fall detection scenario. • To prove the flexibility of the architecture designed, we have implemented a wearable system for human posture rehabilitation. The application was developed in conjunction with biomedical engineers who provided the audio-algorithms to furnish a biofeedback to the user about his/her stability. • We explored off-line gait analysis of collected data, developing an algorithm to detect foot inclination in the sagittal plane, during walk. • In collaboration with the Wearable Lab – ETH, Zurich, we developed an algorithm to monitor the user during several walking condition where the user carry a load. The remainder of the thesis is organized as follows. Chapter I gives an overview about Body Area Networks (BANs), illustrating the relevant features of this technology and the key challenges still open. It concludes with a short list of the real solutions and prototypes proposed by academic research and manufacturers. The domain of the posture and gait analysis, the methodologies, and the technologies used to provide real-time feedback on detected events, are illustrated in Chapter II. The Chapter III and IV, respectively, shown BANs developed with the purpose to detect fall and monitor the gait taking advantage by two inertial measurement unit and baropodometric insoles. Chapter V reports an audio-biofeedback system to improve balance on the information provided by the use centre of mass. A walking assistant based on the KNN classifier to detect walking alteration on load carriage, is described in Chapter VI.

Bifidobacterium - Human Host Interaction: Role of Human Plasminogen

Bifidobacterium is an important genus of the human gastrointestinal microbiota, affecting several host physiological features. Despite the numerous Bifidobacterium related health-promoting activities, there is still a dearth of information about the molecular mechanisms at the basis of the interaction between this microorganism and the host. Bacterial surface associated proteins may play an important role in this interaction because of their ability to intervene with host molecules, as recently reported for the host protein plasminogen. Plasminogen is the zymogen of the trypsin-like serine protease plasmin, an enzyme with a broad substrate specificity. Aim of this thesis is to deepen the knowledge about the interaction between Bifidobacterium and the human plasminogen system and its role in the Bifidobacterium-host interaction process. As a bifidobacterial model, B. animalis subsp. lactis BI07 has been used because of its large usage in dairy and pharmaceutical preparations. We started from the molecular characterization of the interaction between plasminogen and one bifidobacterial plasminogen receptor, DnaK, a cell wall protein showing high affinity for plasminogen, and went on with the study of the impact of intestinal environmental factors, such as bile salts and inflammation, on the plasminogen-mediated Bifidobacterium-host interaction. According to our in vitro findings, by enhancing the activation of the bifidobacterial bound plasminogen to plasmin, the host inflammatory response results in the decrease of the bifidobacterial adhesion to the host enterocytes, favouring bacterial migration to the luminal compartment. Conversely, in the absence of inflammation, plasminogen acts as a molecular bridge between host enterocytes and bifidobacteria, enhancing Bifidobacterium adhesion. Furthermore, adaptation to physiological concentrations of bile salts enhances the capability of this microorganism to interact with the host plasminogen system. The host plasminogen system thus represents an important and flexible tool used by bifidobacteria in the cross-talk with the host.

Engineering Agent-Oriented Technologies and Programming Languages for Computer Programming and Software Development

Mainstream hardware is becoming parallel, heterogeneous, and distributed on every desk, every home and in every pocket. As a consequence, in the last years software is having an epochal turn toward concurrency, distribution, interaction which is pushed by the evolution of hardware architectures and the growing of network availability. This calls for introducing further abstraction layers on top of those provided by classical mainstream programming paradigms, to tackle more effectively the new complexities that developers have to face in everyday programming. A convergence it is recognizable in the mainstream toward the adoption of the actor paradigm as a mean to unite object-oriented programming and concurrency. Nevertheless, we argue that the actor paradigm can only be considered a good starting point to provide a more comprehensive response to such a fundamental and radical change in software development. Accordingly, the main objective of this thesis is to propose Agent-Oriented Programming (AOP) as a high-level general purpose programming paradigm, natural evolution of actors and objects, introducing a further level of human-inspired concepts for programming software systems, meant to simplify the design and programming of concurrent, distributed, reactive/interactive programs. To this end, in the dissertation first we construct the required background by studying the state-of-the-art of both actor-oriented and agent-oriented programming, and then we focus on the engineering of integrated programming technologies for developing agent-based systems in their classical application domains: artificial intelligence and distributed artificial intelligence. Then, we shift the perspective moving from the development of intelligent software systems, toward general purpose software development. Using the expertise maturated during the phase of background construction, we introduce a general-purpose programming language named simpAL, which founds its roots on general principles and practices of software development, and at the same time provides an agent-oriented level of abstraction for the engineering of general purpose software systems.

Topological aspects of the human protein interaction network

It is currently widely accepted that the understanding of complex cell functions depends on an integrated network theoretical approach and not on an isolated view of the different molecular agents. Aim of this thesis was the examination of topological properties that mirror known biological aspects by depicting the human protein network with methods from graph- and network theory. The presented network is a partial human interactome of 9222 proteins and 36324 interactions, consisting of single interactions reliably extracted from peer-reviewed scientific publications. In general, one can focus on intra- or intermodular characteristics, where a functional module is defined as "a discrete entity whose function is separable from those of other modules". It is found that the presented human network is also scale-free and hierarchically organised, as shown for yeast networks before. The interactome also exhibits proteins with high betweenness and low connectivity which are biologically analyzed and interpreted here as shuttling proteins between organelles (e.g. ER to Golgi, internal ER protein translocation, peroxisomal import, nuclear pores import/export) for the first time. As an optimisation for finding proteins that connect modules, a new method is developed here based on proteins located between highly clustered regions, rather than regarding highly connected regions. As a proof of principle, the Mediator complex is found in first place, the prime example for a connector complex. Focusing on intramodular aspects, the measurement of k-clique communities discriminates overlapping modules very well. Twenty of the largest identified modules are analysed in detail and annotated to known biological structures (e.g. proteasome, the NFκB-, TGF-β complex). Additionally, two large and highly interconnected modules for signal transducer and transcription factor proteins are revealed, separated by known shuttling proteins. These proteins yield also the highest number of redundant shortcuts (by calculating the skeleton), exhibit the highest numbers of interactions and might constitute highly interconnected but spatially separated rich-clubs either for signal transduction or for transcription factors. This design principle allows manifold regulatory events for signal transduction and enables a high diversity of transcription events in the nucleus by a limited set of proteins. Altogether, biological aspects are mirrored by pure topological features, leading to a new view and to new methods that assist the annotation of proteins to biological functions, structures and subcellular localisations. As the human protein network is one of the most complex networks at all, these results will be fruitful for other fields of network theory and will help understanding complex network functions in general.

Mental states monitoring through passive Brain-Computer Interface systems

The monitoring of cognitive functions aims at gaining information about the current cognitive state of the user by decoding brain signals. In recent years, this approach allowed to acquire valuable information about the cognitive aspects regarding the interaction of humans with external world. From this consideration, researchers started to consider passive application of brain–computer interface (BCI) in order to provide a novel input modality for technical systems solely based on brain activity. The objective of this thesis is to demonstrate how the passive Brain Computer Interfaces (BCIs) applications can be used to assess the mental states of the users, in order to improve the human machine interaction. Two main studies has been proposed. The first one allows to investigate whatever the Event Related Potentials (ERPs) morphological variations can be used to predict the users’ mental states (e.g. attentional resources, mental workload) during different reactive BCI tasks (e.g. P300-based BCIs), and if these information can predict the subjects’ performance in performing the tasks. In the second study, a passive BCI system able to online estimate the mental workload of the user by relying on the combination of the EEG and the ECG biosignals has been proposed. The latter study has been performed by simulating an operative scenario, in which the occurrence of errors or lack of performance could have significant consequences. The results showed that the proposed system is able to estimate online the mental workload of the subjects discriminating three different difficulty level of the tasks ensuring a high reliability.

Molecular interaction of the human metalloprotease meprin beta with the amyloid precursor protein, ADAM10, and ADAM17 based on proteomics

Die Zinkendopeptidasen Meprin α und β sind Schlüsselkomponenten in patho(physiologischen) Prozessen wie Entzündung, Kollagenassemblierung und Angiogenese. Nach ihrer Entdeckung in murinen Bürstensaummembranen und humanen Darmepithelien, wurden weitere Expressionsorte identifiziert, z.B. Leukozyten, Krebszellen und die humane Haut. Tiermodelle, Zellkulturen und biochemische Analysen weisen auf Funktionen der Meprine in der Epithelialdifferenzierung, Zellmigration, Matrixmodellierung, Angiogenese, Bindegewebsausbildung und immunologische Prozesse hin. Dennoch sind ihre physiologischen Substrate weitgehend noch unbekannt. Massenspektrometrisch basierte Proteomics-Analysen enthüllten eine einzigartige Spaltspezifität für saure Aminosäurereste in der P1´ Position und identifizierten neue biologische Substratkandidaten. Unter den 269 extrazellulären Proteinen, die in einem Substratscreen identifiziert wurden, stellten sich das amyloid precursor protein (APP) and ADAM10 (a disintegrin and metalloprotease 10) als sehr vielversprechende Kandidaten heraus. Mehrere Schnittstellen innerhalb des APP Proteins, hervorgerufen durch verschiedenen Proteasen, haben unterschiedlichen Auswirkungen zur Folge. Die β-Sekretase BACE (β-site APP cleaving enzyme) prozessiert APP an einer Schnittstelle, welche als initialer Schritt in der Entwicklung der Alzheimer Erkrankung gilt. Toxische Aβ (Amyloid β)-Peptide werden in den extrazellulären Raum freigesetzt und aggregieren dort zu senilen Plaques. Membran verankertes Meprin β hat eine β-Sekretase Aktivität, die in einem Zellkultur-basierten System bestätigt werden konnte. Die proteolytische Effizienz von Meprin β wurde in FRET (Fluorescence Resonance Energy Transfer)-Analysen bestimmt und war um den Faktor 104 höher als die von BACE1. Weiterhin konnte gezeigt werden, dass Meprin β die ersten zwei Aminosäuren prozessiert und somit aminoterminal einen Glutamatrest freisetzt, welcher nachfolgend durch die Glutaminylzyklase in ein Pyroglutamat zykliert werden kann. Trunkierte Aβ-Peptide werden nur in Alzheimer Patienten generiert. Aufgrund einer erhöhten Hydrophobie weisen diese Peptide eine höhere Tendenz zur Aggregation auf und somit eine erhöhte Toxizität. Bis heute wurde keine Protease identifiziert, welche diese Schnittstelle prozessiert. Die Bildung der Meprin vermittelten N-terminalen APP Fragmenten wurde in vitro und in vivo detektiert. Diese N-APP Peptide hatten keine cytotoxischen Auswirkungen auf murine und humane Gehirnzellen, obwohl zuvor N-APP als Ligand für den death receptor (DR) 6 identifiziert wurde, der für axonale Degenerationsprozesse verantwortlich ist. rnIm nicht-amyloidogenen Weg prozessiert ADAM10 APP und entlässt die Ektodomäne von der Zellmembran. Wir konnten das ADAM10 Propeptid als Substrat von Meprin β identifizieren und in FRET Analysen, in vitro und in vivo zeigen, dass die Meprin vermittelte Prozessierung zu einer erhöhten ADAM10 Aktivität führt. Darüber hinaus wurde ADAM10 als Sheddase für Meprin β identifiziert. Shedding konnte durch Phorbol 12-myristate 13-acetate (PMA) oder durch das Ionophor A23187 hervorgerufen werden, sowie durch ADAM10 Inhibitoren blockiert werden. rnDiese Arbeit konnte somit ein komplexes proteolytisches Netwerk innerhalb der Neurophysiologie aufdecken, welches für die Entwicklung der Alzheimer Demenz wichtig sein kann.rn

Leishmania major parasites and their interaction with human macrophages

First both life stages of Leishmania major (L. major) FEBNI parasites, promastigotes as well as amastigotes, were characterized. We found that the virulence marker GP63 and cysteine peptidase b (Cpb) were higher expressed by axenic amastigotes as compared to promastigotes. In addition to the L. major FEBNI strain, we applied and successfully modified our novel in vitro method to generate axenic amastigotes of the L. major Friedlin and 5ASKH strains. Interestingly, these L. major strains needed another temperature to be transferred into amastigotes in the axenic culture system. Investigating apoptosis mechanisms in both parasite life stages of L. major FEBNI we found both ROS dependent and independent cell death mechanisms. Focusing on promastigote and amastigote interaction with pro-inflammatory (MF I) and anti-inflammatory (MF II) macrophages we found amastigotes to be more infective as compared to promastigotes. Moreover, we could demonstrate that pro-inflammatory MF I were less susceptible to infection than anti-inflammatory MF II. Finally we investigated parasite stage-specific responses of MF I + II and their defense mechanisms against L. major. Using knockdown techniques for primary human macrophages we identified a new mechanism enabling intracellular killing of promastigotes inside MF I. This mechanism depends on the antimicrobial molecule cathelicidin (LL-37).

The interaction of Leishmania major parasites with human myeloid cells and its consequence for adaptive immunity

In der vorliegenden Arbeit fokussierten wir uns auf drei verschiedene Aspekte der Leishmanien-Infektion. Wir charakterisierten den Prozess des Zelltods „Apoptose“ bei Parasiten (1), untersuchten die Eignung von Makrophagen und dendritischen Zellen als Wirtszelle für die Entwicklung der Parasiten (2) und analysierten die Konsequenzen der Infektion für die Entstehung einer adaptiven Immunantwort im humanen System. Von zentraler Bedeutung für dieses Projekt war die Hypothese, dass apoptotische Leishmanien den Autophagie-Mechanismus ihrer Wirtszellen ausnutzen, um eine T-Zell-vermittelte Abtötung der Parasiten zu vermindern.rnWir definierten eine apoptotische Leishmanien-Population, welche durch eine rundliche Morphologie und die Expression von Phosphatidylserin auf der Parasitenoberfläche charakterisiert war. Die apoptotischen Parasiten befanden sich zudem in der SubG1-Phase und wiesen weniger und fragmentierte DNA auf, welche durch TUNEL-Assay nachgewiesen werden konnte. Bei der Interaktion der Parasiten mit humanen Makrophagen und dendritischen Zellen zeigte sich, dass die anti-inflammatorischen Makrophagen anfälliger für Infektionen waren als die pro-inflammatorischen Makrophagen oder die dendritischen Zellen. Interessanterweise wurde in den dendritischen Zellen jedoch die effektivste Umwandlung zur krankheitsauslösenden, amastigoten Lebensform beobachtet. Da sowohl Makrophagen als auch dendritische Zellen zu den antigenpräsentierenden Zellen gehören, könnte dies zur Aktivierung der T-Zellen des adaptiven Immunsystems führen. Tatsächlich konnte während der Leishmanien-Infektion die Proliferation von T-Zellen beobachtet werden. Dabei stellten wir fest, dass es sich bei den proliferierenden T-Zellen um CD3+CD4+ T-Zellen handelte, welche sich überraschenderweise als Leishmanien-spezifische CD45RO+ T-Gedächtniszellen herausstellten. Dies war unerwartet, da ein vorheriger Kontakt der Spender mit Leishmanien als unwahrscheinlich gilt. In Gegenwart von apoptotischen Parasiten konnte eine signifikant schwächere T-Zell-Proliferation in Makrophagen, jedoch nicht in dendritischen Zellen beobachtet werden. Da sich die T-Zell-Proliferation negativ auf das Überleben der Parasiten auswirkt, konnten die niedrigsten Überlebensraten in dendritischen Zellen vorgefunden werden. Innerhalb der Zellen befanden sich die Parasiten in beiden Zelltypen im Phagosom, welches allerdings nur in Makrophagen den Autophagie-Marker LC3 aufwies. Chemische Induktion von Autophagie führte, ebenso wie die Anwesenheit von apoptotischen Parasiten, zu einer stark reduzierten T-Zell-Proliferation und dementsprechend zu einem höheren Überleben der Parasiten.rnZusammenfassend lässt sich aus unseren Daten schließen, dass Apoptose in Einzellern vorkommt. Während der Infektion können sowohl Makrophagen, als auch dendritische Zellen mit Leishmanien infiziert und das adaptive Immunsystem aktivert werden. Die eingeleitete T-Zell-Proliferation nach Infektion von Makrophagen ist in Gegenwart von apoptotischen Parasiten reduziert, weshalb sie im Vergleich zu dendritischen Zellen die geeigneteren Wirtszellen für Leishmanien darstellen. Dafür missbrauchen die Parasiten den Autophagie-Mechanismus der Makrophagen als Fluchtstrategie um das adaptive Immunsystem zu umgehen und somit das Überleben der Gesamtpopulation zu sichern. Diese Ergebnisse erklären den Vorteil von Apoptose in Einzellern und verdeutlichen, dass der Autophagie-Mechanismus als potentielles therapeutisches Ziel für die Behandlung von Leishmaniose dienen kann.rn

Installazione del navigation stack su rover terrestre e applicazione del kinect nello human-robot interaction.

Progetto SHERPA. Installazione e configurazione del Navigaton Stack su Rover terrestre. Utilizzo e configurazione di LMS151 Sick. Utilizzo e configurazione di Asus Xtion Pro. Progettazione di software per la localizzazione e l'inseguimento di persone tramite camera di profondita.

Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers

To retrospectively analyze the performance of a commercial computer-aided diagnosis (CAD) software in the detection of pulmonary nodules in original and energy-subtracted (ES) chest radiographs.