Mechanical Alterations in airway smooth muscle after interaction with indoor pollutant – A mathematical model.

The viscoelasticity of mammalian lung is determined by the mechanical properties and structural regulation of the airway smooth muscle (ASM). The exposure to polluted air may deteriorate these properties with harmful consequences to individual health. Formaldehyde (FA) is an important indoor pollutant found among volatile organic compounds. This pollutant permeates through the smooth muscle tissue forming covalent bonds between proteins in the extracellular matrix and intracellular protein structure changing mechanical properties of ASM and inducing asthma symptoms, such as airway hyperresponsiveness, even at low concentrations. In the experimental scenario, the mechanical effect of FA is the stiffening of the tissue, but the mechanism behind this effect is not fully understood. Thus, the aim of this study is to reproduce the mechanical behavior of the ASM, such as contraction and stretching, under FA action or not. For this, it was created a two-dimensional viscoelastic network model based on Voronoi tessellation solved using Runge-Kutta method of fourth order. The equilibrium configuration was reached when the forces in different parts of the network were equal. This model simulates the mechanical behavior of ASM through of a network of dashpots and springs. This dashpot-spring mechanical coupling mimics the composition of the actomyosin machinery of ASM through the contraction of springs to a minimum length. We hypothesized that formation of covalent bonds, due to the FA action, can be represented in the model by a simple change in the elastic constant of the springs, while the action of methacholine (MCh) reduce the equilibrium length of the spring. A sigmoid curve of tension as a function of MCh doses was obtained, showing increased tension when the muscle strip was exposed to FA. Our simulations suggest that FA, at a concentration of 0.1 ppm, can affect the elastic properties of the smooth muscle ¯bers by a factor of 120%. We also analyze the dynamic mechanical properties, observing the viscous and elastic behavior of the network. Finally, the proposed model, although simple, incorporates the phenomenology of both MCh and FA and reproduces experimental results observed with in vitro exposure of smooth muscle to FA. Thus, this new mechanical approach incorporates several well know features of the contractile system of the cells in a tissue level model. The model can also be used in different biological scales.

Mechanical alterations in airway smooth muscle after interaction with indoor pollutant - A mathematical model

The viscoelasticity of mammalian lung is determined by the mechanical properties and structural regulation of the airway smooth muscle (ASM). The exposure to polluted air may deteriorate these properties with harmful consequences to individual health. Formaldehyde (FA) is an important indoor pollutant found among volatile organic compounds. This pollutant permeates through the smooth muscle tissue forming covalent bonds between proteins in the extracellular matrix and intracellular protein structure changing mechanical properties of ASM and inducing asthma symptoms, such as airway hyperresponsiveness, even at low concentrations. In the experimental scenario, the mechanical effect of FA is the stiffening of the tissue, but the mechanism behind this effect is not fully w1derstood. Thus, the aim of this study is to reproduce the mechanical behavior of the ASM, such as contraction and stretching, under FA action or not. For this, it was created a two-dimensional viscoelastic network model based on Voronoi tessellation solved using Runge-Kutta method of fourth order. The equilibrium configuration was reached when the forces in different parts of the network were equal. This model simulates the mechanical behavior of ASM through of a network of dashpots and springs. This dashpot-spring mechanical coupling mimics the composition of the actomyosin machinery of ASM through the contraction of springs to a minimum length. We hypothesized that formation of covalent bonds, due to the FA action, can be represented in the model by a simple change in the elastic constant of the springs, while the action of methacholinc (MCh) reduce the equilibrium length of the spring. A sigmoid curve of tension as a function of MCh doses was obtained, showing increased tension when the muscle strip was exposed to FA. Our simulations suggest that FA, at a concentration of 0.1 ppm, can affect the elastic properties of the smooth muscle fibers by a factor of 120%. We also analyze the dynamic mechanical properties, observing the viscous and elastic behavior of the network. Finally, the proposed model, although simple, ir1corporates the phenomenology of both MCh and FA and reproduces experirnental results observed with ir1 vitro exposure of smooth muscle to .FA. Thus, this new mechanical approach incorporates several well know features of the contractile system of the cells ir1 a tissue level model. The model can also be used in different biological scales.

Experimental model identification of open-frame underwater vehicles

Most of the works published on hydrodynamic parameter identification of open-frame underwater vehicles focus their attention almost exclusively on good coherence between simulated and measured responses, giving less importance to the determination of “actual values” for hydrodynamic parameters. To gain insight into hydrodynamic parameter experimental identification of open-frame underwater vehicles, an experimental identification procedure is proposed here to determine parameters of uncoupled and coupled models. The identification procedure includes: (i) a prior estimation of actual values of the forces/torques applied to the vehicle, (ii) identification of drag parameters from constant velocity tests and (iii) identification of inertia and coupling parameters from oscillatory tests; at this stage, the estimated values of drag parameter obtained in item (ii) are used. The procedure proposed here was used to identify the hydrodynamic parameters of LAURS—an unmanned underwater vehicle developed at the University of São Paulo. The thruster–thruster and thruster–hull interactions and the advance velocity of the vehicle are shown to have a strong impact on the efficiency of thrusters appended to open-frame underwater vehicles, especially for high advance velocities. Results of tests with excitation in 1-DOF and 3-DOF are reported and discussed, showing the feasibility of the developed procedure.

A Skyrme-like model with an exact BPS bound

We propose a new Skyrme-like model with fields taking values on the sphere S3 or, equivalently, on the group SU(2). The action of the model contains a quadratic kinetic term plus a quartic term which is the same as that of the Skyrme-Faddeev model. The novelty of the model is that it possess a first order Bogomolny type equation whose solutions automatically satisfy the second order Euler-Lagrange equations. It also possesses a lower bound on the static energy which is saturated by the Bogomolny solutions. Such Bogomolny equation is equivalent to the so-called force free equation used in plasma and solar Physics, and which possesses large classes of solutions. An old result due to Chandrasekhar prevents the existence of finite energy solutions for the force free equation on the entire three- dimensional space R3. We construct new exact finite energy solutions to the Bogomolny equations for the case where the space is the three-sphere S3, using toroidal like coordinates.

Analisi e valutazione delle performance acustiche degli aeromobili nella fase di atterraggio

Nella tesi si analizzano le principali fonti del rumore aeronautico, lo stato dell'arte dal punto di vista normativo, tecnologico e procedurale. Si analizza lo stato dell'arte anche riguardo alla classificazione degli aeromobili, proponendo un nuovo indice prestazionale in alternativa a quello indicato dalla metodologia di certificazione (AC36-ICAO) Allo scopo di diminuire l'impatto acustico degli aeromobili in fase di atterraggio, si analizzano col programma INM i benefici di procedure CDA a 3° rispetto alle procedure tradizionali e, di seguito di procedure CDA ad angoli maggiori in termini di riduzione di lunghezza e di area delle isofoniche SEL85, SEL80 e SEL75.

Constraint handling rules. Compositional semantics and program transformation

This thesis intends to investigate two aspects of Constraint Handling Rules (CHR). It proposes a compositional semantics and a technique for program transformation. CHR is a concurrent committed-choice constraint logic programming language consisting of guarded rules, which transform multi-sets of atomic formulas (constraints) into simpler ones until exhaustion [Frü06] and it belongs to the declarative languages family. It was initially designed for writing constraint solvers but it has recently also proven to be a general purpose language, being as it is Turing equivalent [SSD05a]. Compositionality is the first CHR aspect to be considered. A trace based compositional semantics for CHR was previously defined in [DGM05]. The reference operational semantics for such a compositional model was the original operational semantics for CHR which, due to the propagation rule, admits trivial non-termination. In this thesis we extend the work of [DGM05] by introducing a more refined trace based compositional semantics which also includes the history. The use of history is a well-known technique in CHR which permits us to trace the application of propagation rules and consequently it permits trivial non-termination avoidance [Abd97, DSGdlBH04]. Naturally, the reference operational semantics, of our new compositional one, uses history to avoid trivial non-termination too. Program transformation is the second CHR aspect to be considered, with particular regard to the unfolding technique. Said technique is an appealing approach which allows us to optimize a given program and in more detail to improve run-time efficiency or spaceconsumption. Essentially it consists of a sequence of syntactic program manipulations which preserve a kind of semantic equivalence called qualified answer [Frü98], between the original program and the transformed ones. The unfolding technique is one of the basic operations which is used by most program transformation systems. It consists in the replacement of a procedure-call by its definition. In CHR every conjunction of constraints can be considered as a procedure-call, every CHR rule can be considered as a procedure and the body of said rule represents the definition of the call. While there is a large body of literature on transformation and unfolding of sequential programs, very few papers have addressed this issue for concurrent languages. We define an unfolding rule, show its correctness and discuss some conditions in which it can be used to delete an unfolded rule while preserving the meaning of the original program. Finally, confluence and termination maintenance between the original and transformed programs are shown. This thesis is organized in the following manner. Chapter 1 gives some general notion about CHR. Section 1.1 outlines the history of programming languages with particular attention to CHR and related languages. Then, Section 1.2 introduces CHR using examples. Section 1.3 gives some preliminaries which will be used during the thesis. Subsequentely, Section 1.4 introduces the syntax and the operational and declarative semantics for the first CHR language proposed. Finally, the methodologies to solve the problem of trivial non-termination related to propagation rules are discussed in Section 1.5. Chapter 2 introduces a compositional semantics for CHR where the propagation rules are considered. In particular, Section 2.1 contains the definition of the semantics. Hence, Section 2.2 presents the compositionality results. Afterwards Section 2.3 expounds upon the correctness results. Chapter 3 presents a particular program transformation known as unfolding. This transformation needs a particular syntax called annotated which is introduced in Section 3.1 and its related modified operational semantics !0t is presented in Section 3.2. Subsequently, Section 3.3 defines the unfolding rule and prove its correctness. Then, in Section 3.4 the problems related to the replacement of a rule by its unfolded version are discussed and this in turn gives a correctness condition which holds for a specific class of rules. Section 3.5 proves that confluence and termination are preserved by the program modifications introduced. Finally, Chapter 4 concludes by discussing related works and directions for future work.

Mitochondrial dysfunction in a cell model of thyroid oncocytoma

The role of mitochondrial dysfunction in cancer has long been a subject of great interest. In this study, such dysfunction has been examined with regards to thyroid oncocytoma, a rare form of cancer, accounting for less than 5% of all thyroid cancers. A peculiar characteristic of thyroid oncocytic cells is the presence of an abnormally large number of mitochondria in the cytoplasm. Such mitochondrial hyperplasia has also been observed in cells derived from patients suffering from mitochondrial encephalomyopathies, where mutations in the mitochondrial DNA(mtDNA) encoding the respiratory complexes result in oxidative phosphorylation dysfunction. An increase in the number of mitochondria occurs in the latter in order to compensate for the respiratory deficiency. This fact spurred the investigation into the presence of analogous mutations in thyroid oncocytic cells. In this study, the only available cell model of thyroid oncocytoma was utilised, the XTC-1 cell line, established from an oncocytic thyroid metastasis to the breast. In order to assess the energetic efficiency of these cells, they were incubated in a medium lacking glucose and supplemented instead with galactose. When subjected to such conditions, glycolysis is effectively inhibited and the cells are forced to use the mitochondria for energy production. Cell viability experiments revealed that XTC-1 cells were unable to survive in galactose medium. This was in marked contrast to the TPC-1 control cell line, a thyroid tumour cell line which does not display the oncocytic phenotype. In agreement with these findings, subsequent experiments assessing the levels of cellular ATP over incubation time in galactose medium, showed a drastic and continual decrease in ATP levels only in the XTC-1 cell line. Furthermore, experiments on digitonin-permeabilised cells revealed that the respiratory dysfunction in the latter was due to a defect in complex I of the respiratory chain. Subsequent experiments using cybrids demonstrated that this defect could be attributed to the mitochondrially-encoded subunits of complex I as opposed to the nuclearencoded subunits. Confirmation came with mtDNA sequencing, which detected the presence of a novel mutation in the ND1 subunit of complex I. In addition, a mutation in the cytochrome b subunit of complex III of the respiratory chain was detected. The fact that XTC-1 cells are unable to survive when incubated in galactose medium is consistent with the fact that many cancers are largely dependent on glycolysis for energy production. Indeed, numerous studies have shown that glycolytic inhibitors are able to induce apoptosis in various cancer cell lines. Subsequent experiments were therefore performed in order to identify the mode of XTC-1 cell death when subjected to the metabolic stress imposed by the forced use of the mitochondria for energy production. Cell shrinkage and mitochondrial fragmentation were observed in the dying cells, which would indicate an apoptotic type of cell death. Analysis of additional parameters however revealed a lack of both DNA fragmentation and caspase activation, thus excluding a classical apoptotic type of cell death. Interestingly, cleavage of the actin component of the cytoskeleton was observed, implicating the action of proteases in this mode of cell demise. However, experiments employing protease inhibitors failed to identify the specific protease involved. It has been reported in the literature that overexpression of Bcl-2 is able to rescue cells presenting a respiratory deficiency. As the XTC-1 cell line is not only respiration-deficient but also exhibits a marked decrease in Bcl-2 expression, it is a perfect model with which to study the relationship between Bcl-2 and oxidative phosphorylation in respiratory-deficient cells. Contrary to the reported literature studies on various cell lines harbouring defects in the respiratory chain, Bcl-2 overexpression was not shown to increase cell survival or rescue the energetic dysfunction in XTC-1 cells. Interestingly however, it had a noticeable impact on cell adhesion and morphology. Whereas XTC-1 cells shrank and detached from the growth surface under conditions of metabolic stress, Bcl-2-overexpressing XTC-1 cells appeared much healthier and were up to 45% more adherent. The target of Bcl-2 in this setting appeared to be the actin cytoskeleton, as the cleavage observed in XTC-1 cells expressing only endogenous levels of Bcl-2, was inhibited in Bcl-2-overexpressing cells. Thus, although unable to rescue XTC-1 cells in terms of cell viability, Bcl-2 is somehow able to stabilise the cytoskeleton, resulting in modifications in cell morphology and adhesion. The mitochondrial respiratory deficiency observed in cancer cells is thought not only to cause an increased dependency on glycolysis but it is also thought to blunt cellular responses to anticancer agents. The effects of several therapeutic agents were thus assessed for their death-inducing ability in XTC-1 cells. Cell viability experiments clearly showed that the cells were more resistant to stimuli which generate reactive oxygen species (tert-butylhydroperoxide) and to mitochondrial calcium-mediated apoptotic stimuli (C6-ceramide), as opposed to stimuli inflicting DNA damage (cisplatin) and damage to protein kinases(staurosporine). Various studies in the literature have reported that the peroxisome proliferator-activated receptor-coactivator 1(PGC-1α), which plays a fundamental role in mitochondrial biogenesis, is also involved in protecting cells against apoptosis caused by the former two types of stimuli. In accordance with these observations, real-time PCR experiments showed that XTC-1 cells express higher mRNA levels of this coactivator than do the control cells, implicating its importance in drug resistance. In conclusion, this study has revealed that XTC-1 cells, like many cancer cell lines, are characterised by a reduced energetic efficiency due to mitochondrial dysfunction. Said dysfunction has been attributed to mutations in respiratory genes encoded by the mitochondrial genome. Although the mechanism of cell demise in conditions of metabolic stress is unclear, the potential of targeting thyroid oncocytic cancers using glycolytic inhibitors has been illustrated. In addition, the discovery of mtDNA mutations in XTC-1 cells has enabled the use of this cell line as a model with which to study the relationship between Bcl-2 overexpression and oxidative phosphorylation in cells harbouring mtDNA mutations and also to investigate the significance of such mutations in establishing resistance to apoptotic stimuli.

Computational methods for the analysis of protein structure and function

The vast majority of known proteins have not yet been experimentally characterized and little is known about their function. The design and implementation of computational tools can provide insight into the function of proteins based on their sequence, their structure, their evolutionary history and their association with other proteins. Knowledge of the three-dimensional (3D) structure of a protein can lead to a deep understanding of its mode of action and interaction, but currently the structures of <1% of sequences have been experimentally solved. For this reason, it became urgent to develop new methods that are able to computationally extract relevant information from protein sequence and structure. The starting point of my work has been the study of the properties of contacts between protein residues, since they constrain protein folding and characterize different protein structures. Prediction of residue contacts in proteins is an interesting problem whose solution may be useful in protein folding recognition and de novo design. The prediction of these contacts requires the study of the protein inter-residue distances related to the specific type of amino acid pair that are encoded in the so-called contact map. An interesting new way of analyzing those structures came out when network studies were introduced, with pivotal papers demonstrating that protein contact networks also exhibit small-world behavior. In order to highlight constraints for the prediction of protein contact maps and for applications in the field of protein structure prediction and/or reconstruction from experimentally determined contact maps, I studied to which extent the characteristic path length and clustering coefficient of the protein contacts network are values that reveal characteristic features of protein contact maps. Provided that residue contacts are known for a protein sequence, the major features of its 3D structure could be deduced by combining this knowledge with correctly predicted motifs of secondary structure. In the second part of my work I focused on a particular protein structural motif, the coiled-coil, known to mediate a variety of fundamental biological interactions. Coiled-coils are found in a variety of structural forms and in a wide range of proteins including, for example, small units such as leucine zippers that drive the dimerization of many transcription factors or more complex structures such as the family of viral proteins responsible for virus-host membrane fusion. The coiled-coil structural motif is estimated to account for 5-10% of the protein sequences in the various genomes. Given their biological importance, in my work I introduced a Hidden Markov Model (HMM) that exploits the evolutionary information derived from multiple sequence alignments, to predict coiled-coil regions and to discriminate coiled-coil sequences. The results indicate that the new HMM outperforms all the existing programs and can be adopted for the coiled-coil prediction and for large-scale genome annotation. Genome annotation is a key issue in modern computational biology, being the starting point towards the understanding of the complex processes involved in biological networks. The rapid growth in the number of protein sequences and structures available poses new fundamental problems that still deserve an interpretation. Nevertheless, these data are at the basis of the design of new strategies for tackling problems such as the prediction of protein structure and function. Experimental determination of the functions of all these proteins would be a hugely time-consuming and costly task and, in most instances, has not been carried out. As an example, currently, approximately only 20% of annotated proteins in the Homo sapiens genome have been experimentally characterized. A commonly adopted procedure for annotating protein sequences relies on the "inheritance through homology" based on the notion that similar sequences share similar functions and structures. This procedure consists in the assignment of sequences to a specific group of functionally related sequences which had been grouped through clustering techniques. The clustering procedure is based on suitable similarity rules, since predicting protein structure and function from sequence largely depends on the value of sequence identity. However, additional levels of complexity are due to multi-domain proteins, to proteins that share common domains but that do not necessarily share the same function, to the finding that different combinations of shared domains can lead to different biological roles. In the last part of this study I developed and validate a system that contributes to sequence annotation by taking advantage of a validated transfer through inheritance procedure of the molecular functions and of the structural templates. After a cross-genome comparison with the BLAST program, clusters were built on the basis of two stringent constraints on sequence identity and coverage of the alignment. The adopted measure explicity answers to the problem of multi-domain proteins annotation and allows a fine grain division of the whole set of proteomes used, that ensures cluster homogeneity in terms of sequence length. A high level of coverage of structure templates on the length of protein sequences within clusters ensures that multi-domain proteins when present can be templates for sequences of similar length. This annotation procedure includes the possibility of reliably transferring statistically validated functions and structures to sequences considering information available in the present data bases of molecular functions and structures.

The assessment of change in rural landscape and the analysis of the driving forces. Proposal of a spatial model for the rural built environment

The presented study carried out an analysis on rural landscape changes. In particular the study focuses on the understanding of driving forces acting on the rural built environment using a statistical spatial model implemented through GIS techniques. It is well known that the study of landscape changes is essential for a conscious decision making in land planning. From a bibliography review results a general lack of studies dealing with the modeling of rural built environment and hence a theoretical modelling approach for such purpose is needed. The advancement in technology and modernity in building construction and agriculture have gradually changed the rural built environment. In addition, the phenomenon of urbanization of a determined the construction of new volumes that occurred beside abandoned or derelict rural buildings. Consequently there are two types of transformation dynamics affecting mainly the rural built environment that can be observed: the conversion of rural buildings and the increasing of building numbers. It is the specific aim of the presented study to propose a methodology for the development of a spatial model that allows the identification of driving forces that acted on the behaviours of the building allocation. In fact one of the most concerning dynamic nowadays is related to an irrational expansion of buildings sprawl across landscape. The proposed methodology is composed by some conceptual steps that cover different aspects related to the development of a spatial model: the selection of a response variable that better describe the phenomenon under study, the identification of possible driving forces, the sampling methodology concerning the collection of data, the most suitable algorithm to be adopted in relation to statistical theory and method used, the calibration process and evaluation of the model. A different combination of factors in various parts of the territory generated favourable or less favourable conditions for the building allocation and the existence of buildings represents the evidence of such optimum. Conversely the absence of buildings expresses a combination of agents which is not suitable for building allocation. Presence or absence of buildings can be adopted as indicators of such driving conditions, since they represent the expression of the action of driving forces in the land suitability sorting process. The existence of correlation between site selection and hypothetical driving forces, evaluated by means of modeling techniques, provides an evidence of which driving forces are involved in the allocation dynamic and an insight on their level of influence into the process. GIS software by means of spatial analysis tools allows to associate the concept of presence and absence with point futures generating a point process. Presence or absence of buildings at some site locations represent the expression of these driving factors interaction. In case of presences, points represent locations of real existing buildings, conversely absences represent locations were buildings are not existent and so they are generated by a stochastic mechanism. Possible driving forces are selected and the existence of a causal relationship with building allocations is assessed through a spatial model. The adoption of empirical statistical models provides a mechanism for the explanatory variable analysis and for the identification of key driving variables behind the site selection process for new building allocation. The model developed by following the methodology is applied to a case study to test the validity of the methodology. In particular the study area for the testing of the methodology is represented by the New District of Imola characterized by a prevailing agricultural production vocation and were transformation dynamic intensively occurred. The development of the model involved the identification of predictive variables (related to geomorphologic, socio-economic, structural and infrastructural systems of landscape) capable of representing the driving forces responsible for landscape changes.. The calibration of the model is carried out referring to spatial data regarding the periurban and rural area of the study area within the 1975-2005 time period by means of Generalised linear model. The resulting output from the model fit is continuous grid surface where cells assume values ranged from 0 to 1 of probability of building occurrences along the rural and periurban area of the study area. Hence the response variable assesses the changes in the rural built environment occurred in such time interval and is correlated to the selected explanatory variables by means of a generalized linear model using logistic regression. Comparing the probability map obtained from the model to the actual rural building distribution in 2005, the interpretation capability of the model can be evaluated. The proposed model can be also applied to the interpretation of trends which occurred in other study areas, and also referring to different time intervals, depending on the availability of data. The use of suitable data in terms of time, information, and spatial resolution and the costs related to data acquisition, pre-processing, and survey are among the most critical aspects of model implementation. Future in-depth studies can focus on using the proposed model to predict short/medium-range future scenarios for the rural built environment distribution in the study area. In order to predict future scenarios it is necessary to assume that the driving forces do not change and that their levels of influence within the model are not far from those assessed for the time interval used for the calibration.

Trasduzione del segnale e poliamine nell'apoptosi di cellule cardiache

Introduction: Apoptotic cell death of cardiomyocytes is involved in several cardiovascular diseases including ischemia, hypertrophy and heart failure, thus representing a potential therapeutic target. Apoptosis of cardiac cells can be induced experimentally by several stimuli including hypoxia, serum withdrawal or combination of both. Several lines of research suggest that neurohormonal mechanisms play a central role in the progression of heart failure. In particular, excessive activation of the sympathetic nervous system or the renin-angiotensin-aldosterone system is known to have deleterious effects on the heart. Recent studies report that norepinephrine (NE), the primary transmitter of sympathetic nervous system, and aldosterone (ALD), which is actively produced in failing human heart, are able to induce apoptosis of rat cardiomyocytes. Polyamines are biogenic amines involved in many cellular processes, including apoptosis. Actually it appears that these molecules can act as promoting, modulating or protective agents in apoptosis depending on apoptotic stimulus and cellular model. We have studied the involvement of polyamines in the apoptosis of cardiac cells induced in a model of simulated ischemia and following treatment with NE or ALD. Methods: H9c2 cardiomyoblasts were exposed to a condition of simulated ischemia, consisting of hypoxia plus serum deprivation. Cardiomyocyte cultures were prepared from 1-3 day-old neonatal Wistar rat hearts. Polyamine depletion was obtained by culturing the cells in the presence of α-difluoromethylornithine (DFMO). Polyamines were separated and quantified in acidic cellular extracts by HPLC after derivatization with dansyl chloride. Caspase activity was measured by the cleavage of the fluorogenic peptide substrate. Ornithine decarboxylase (ODC) activity was measured by estimation of the release of 14C-CO2 from 14C-ornithine. DNA fragmentation was visualized by the method of terminal transferase-mediated dUTP nick end-labeling (TUNEL), and DNA laddering on agarose gel electophoresis. Cytochrome c was detected by immunoflorescent staining. Activation of signal transduction pathways was investigated by western blotting. Results: The results indicate that simulated ischemia, NE and ALD cause an early induction of the activity of ornithine decarboxylase (ODC), the first enzyme in polyamine biosynthesis, followed by a later increase of caspase activity, a family of proteases that execute the death program and induce cell death. This effect was prevented in the presence of DFMO, an irreversible inhibitor of ODC, thus suggesting that polyamines are involved in the execution of the death program activated by these stimuli. In H9c2 cells DFMO inhibits several molecular events related to apoptosis that follow simulated ischemia, such as the release of cytochrome c from mitochondria, down-regulation of Bcl-xL, and DNA fragmentation. The anti-apoptotic protein survivin is down-regulated after ALD or NE treatement and polyamine depletion obtained by DFMO partially opposes survivin decrease. Moreover, a study of key signal transduction pathways governing cell death and survival, revealed an involvement of AMP activated protein kinase (AMPK) and AKT kinase, in the modulation by polyamines of the response of cardiomyocytes to NE. In fact polyamine depleted cells show an altered pattern of AMPK and AKT activation that may contrast apoptosis and appears to result from a differential effect on the specific phosphatases that dephosphorylate and switch off these signaling proteins. Conclusions: These results indicate that polyamines are involved in the execution of the death program activated in cardiac cells by heart failure-related stimuli, like ischemia, ALD and NE, and suggest that their apoptosis facilitating action is mediated by a network of specific phosphatases and kinases.

Gamma-secretase modulators and inhibitors in Alzheimer's disease: influence of genetic background on efficacy and mechanism of action

According to the amyloid hypothesis, Alzheimer’s disease (AD) is caused by aberrant production or clearance of the amyloid-β (Aβ) peptides, and in particular of the longer more aggregation-prone Aβ42. The Aβ peptides are generated through successive proteolytic cleavage of the amyloid precursor protein (APP) by the β-site APP cleaving enzyme (BACE) and γ-secretase. γ-secretase produces Aβ peptides with variable C-termini ranging from Aβ34 to Aβ48, presumably by sequential trimming of longer into shorter peptides. γ-secretase is a multiprotein complex consisting of at least four different proteins and the presenilin proteins (PS1 or PS2) contain the catalytic center of the complex. In 2001 several non-steroidal anti-inflammatory drugs were identified as the founding members of a new class of γ-secretase modulators (GSMs) that can selectively reduce production of Aβ42. Concomitantly, these GSMs increase Aβ38 production indicating closely coordinated generation of Aβ42 and Aβ38 and a potential precursor-product relationship between these peptides. GSMs seem to exert their activity by direct modulation of γ-secretase. Support for this hypothesis is drawn from the finding that some PS mutations associated with early-onset familial AD (FAD) can modulate the cellular response to GSMs and to γ-secretase inhibitors (GSIs), which inhibit production of all Aβ peptides and are known to directly interact with PS. A particularly interesting FAD PS mutation is PS1-ΔExon9, a complex deletion mutant that blocks endoproteolysis of PS1 and renders cells completely non-responsive to GSMs. Studies presented in this thesis show that the diminished response of PS1-ΔExon9 to GSMs is mainly caused by its lack of endoproteolytic cleavage. Furthermore, we were able to demonstrate that a reduced response to GSMs and GSIs is not limited to PS1-ΔExon9 but is a common effect of aggressive FAD-associated PS1 mutations. Surprisingly, we also found that while the Aβ42 response to GSMs is almost completely abolished by these PS1 mutations, the accompanying Aβ38 increase was indistinguishable to wild-type PS1. Finally, the reduced response to GSIs was confirmed in a mouse model with transgenic expression of an aggressive FAD-associated PS1 mutation as a highly potent GSI failed to reduce Aβ42 levels in brain of these mice. Taken together, our findings provide clear evidence for independent generation of Aβ42 and Aβ38 peptides, and argue that the sequential cleavage model might be an oversimplification of the molecular mechanism of γ-secretase. Most importantly, our results highlight the significance of genetic background in drug discovery efforts aimed at γ-secretase, and indicate that the use of cellular models with transgenic expression of FAD-associated PS mutations might confound studies of the potency and efficacy of GSMs and GSIs. Therefore, such models should be strictly avoided in the ongoing preclinical development of these promising and potentially disease-modifying therapeutics for AD.

Production of bioactive peptides through sequencial action of Yarrowia lipolytica proteases and chemical glycation

This PhD thesis is aimed at studying the suitability of proteases realised by Yarrowia lipolytica to hydrolyse proteins of different origins available as industrial food by-products. Several strains of Y. lipolytica have been screened for the production of extracellular proteases by zymography. On the basis of the results some strains released only a protease having a MW of 37 kDa, which corresponds to the already reported acidic protease, while other produced prevalently or only a protease with a MW higher than 200 kDa. The proteases have been screened for their "cold attitude" on gelatin, gluten and skim milk. This property can be relevant from a biotechnological point of view in order to save energy consumption during industrial processes. Most of the strains used were endowed with proteolytic activity at 6 °C on all the three proteins. The proteolytic breakdown profiles of the proteins, detected at 27 °C, were different related to the specific strains of Y. lipolytica. The time course of the hydrolysis, tested on gelatin, affected the final bioactivities of the peptide mixtures produced. In particular, an increase in both the antioxidant and antimicrobial activities was detected when the protease of the strain Y. lipolytica 1IIYL4A was used. The final part of this work was focused on the improvement of the peptides bioactivities through a novel process based on the production of glycopeptides. Firstly, the main reaction parameters were optimized in a model system, secondly a more complex system, based on gluten hydrolysates, was taken into consideration to produce glycopeptides. The presence of the sugar moiety reduced the hydrophobicity of the glycopeptides, thus affecting the final antimicrobial activity which was significantly improved. The use of this procedure could be highly effective to modify peptides and can be employed to create innovative functional peptides using a mild temperature process.

Toward a 3D in vitro model based on decellularized thymus to maintain adult thymic ephitelial cells functionality

During my PhD,I have been develop an innovative technique to reproduce in vitro the 3D thymic microenvironment, to be used for growth and differentiation of thymocytes, and possible transplantation replacement in conditions of depressed thymic immune regulation. The work has been developed in the laboratory of Tissue Engineering at the University Hospital in Basel, Switzerland, under the tutorship of Prof.Ivan Martin. Since a number of studies have suggested that the 3D structure of the thymic microenvironment might play a key role in regulating the survival and functional competence of thymocytes, I’ve focused my effort on the isolation and purification of the extracellular matrix of the mouse thymus. Specifically, based on the assumption that TEC can favour the differentiation of pre-T lymphocytes, I’ve developed a specific decellularization protocol to obtain the intact, DNA-free extracellular matrix of the adult mouse thymus. Two different protocols satisfied the main characteristics of a decellularized matrix, according to qualitative and quantitative assays. In particular, the quantity of DNA was less than 10% in absolute value, no positive staining for cells was found and the 3D structure and composition of the ECM were maintained. In addition, I was able to prove that the decellularized matrixes were not cytotoxic for the cells themselves, and were able to increase expression of MHC II antigens compared to control cells grown in standard conditions. I was able to prove that TECs grow and proliferate up to ten days on top the decellularized matrix. After a complete characterization of the culture system, these innovative natural scaffolds could be used to improve the standard culture conditions of TEC, to study in vitro the action of different factors on their differentiation genes, and to test the ability of TECs to induce in vitro maturation of seeded T lymphocytes.

A SMO inhibitor drug reduces the progenitor cell's maintenance in the Drosophila hematopoietic organ: a novel model to study Chronic Myelogenous Leukemia relapse

The chronic myeloid leukemia complexity and the difficulties of disease eradication have recently led to the development of drugs which, together with the inhibitors of TK, could eliminate leukemia stem cells preventing the occurrence of relapses in patients undergoing transplantation. The Hedgehog (Hh) signaling pathway positively regulates the self-renewal and the maintenance of leukemic stem cells and not, and this function is evolutionarily conserved. Using Drosophila as a model, we studied the efficacy of the SMO inhibitor drug that inhibit the human protein Smoothened (SMO). SMO is a crucial component in the signal transduction of Hh and its blockade in mammals leads to a reduction in the disease induction. Here we show that administration of the SMO inhibitor to animals has a specific effect directed against the Drosophila ortholog protein, causing loss of quiescence and hematopoietic precursors mobilization. The SMO inhibitor induces in L3 larvae the appearance of melanotic nodules generated as response by Drosophila immune system to the increase of its hemocytes. The same phenotype is induced even by the dsRNA:SMO specific expression in hematopoietic precursors of the lymph gland. The drug action is also confirmed at cellular level. The study of molecular markers has allowed us to demonstrate that SMO inhibitor leads to a reduction of the quiescent precursors and to an increase of the differentiated cells. Moreover administering the inhibitor to heterozygous for a null allele of Smo, we observe a significant increase in the phenotype penetrance compared to administration to wild type animals. This helps to confirm the specific effect of the drug itself. These data taken together indicate that the study of inhibitors of Smo in Drosophila can represent a useful way to dissect their action mechanism at the molecular-genetic level in order to collect information applicable to the studies of the disease in humans.

Drosophila melanogaster as a model to study host-parasitoid interactions: the case of the polydnaviral protein TnBVANK1

Parasitic wasps attack a number of insect species on which they feed, either externally or internally. This requires very effective strategies for suppressing the immune response and a finely tuned interference with the host physiology that is co-opted for the developing parasitoid progeny. The wealth of physiological host alterations is mediated by virulence factors encoded by the wasp or, in some cases, by polydnaviruses (PDVs), unique viral symbionts injected into the host at oviposition along with the egg, venom and ovarian secretions. PDVs are among the most powerful immunosuppressors in nature, targeting insect defense barriers at different levels. During my PhD research program I have used Drosophila melanogaster as a model to expand the functional analysis of virulence factors encoded by PDV focusing on the molecular processes underlying the disruption of the host endocrine system. I focused my research on a member of the ankyrin (ank) gene family, an immunosuppressant found in bracovirus, which associates with the parasitic wasp Toxoneuron nigriceps. I found that ankyrin disrupts ecdysone biosynthesis by impairing the vesicular traffic of ecdysteroid precursors in the cells of the prothoracic gland and results in developmental arrest.