Effetti dell'acido urico sulle cellule glomerulari mesangiali: meccanismi intracellulari di trasduzione del segnale e possibili implicazioni nella progressione del danno renale e nella sindrome infiammatoria in corso di nefropatie croniche

Uric acid is a major inducer of inflammation in renal interstitium and may play a role in the progression of renal damage in hyperuricemic subjects with primary nephropathies, renal vascular disease, and essential hypertension. At the same time, UA also acts as a water-soluble scavenger of reactive oxygen species. We evaluated the cellular effects of UA on cultured HMC as a potential interstitial target for abnormally elevated levels in acute and chronic renal disease. Intracellular free Ca2+ ([Ca2+]i) was monitored by microfluorometry of fura 2-loaded cells, while oxidation of intracellularly trapped non-fluorescent 2’,7’-dichlorofluorescein diacetate (DCFHDA, 20 uM) was employed to assess the generation of reactive oxygen species during 12-hr incubations with various concentrations of UA or monosodium urate. Fluorescent metabolites of DCFH-DA in the culture media of HMC were detected at 485/530 nm excitation/emission wavelengths, respectively. UA dose-dependently lowered resting [Ca2+]i (from 102±9 nM to 95±3, 57±2, 48±6 nM at 1-100 uM UA, respectively, p <0.05), leaving responses to vasoconstrictors such as angiotensin II unaffected. The effect was not due to Ca2+/H+ exchange upon acidification of the bathing media, as acetate, glutamate, lactate and other organic acids rather increased [Ca2+]i (to max. levels of 497±42 nM with 0.1 mM acetate). The decrease of [Ca2+]i was abolished by raising extracellular Ca2+ and not due to effects on Ca2+ channels or activation of Ca2+-ATPases, since unaffected by thapsigargin. The process rather appeared sensitive to removal of extracellular Na+ in combination with blockers of Na+/Ca2+ exchange, such as 2’,4’-dichlorobenzamil, pointing to a countertransport mechanism. UA dose-dependently prompted the extracellular release of oxidised DCFH (control 37±2 relative fluorescence units (RFU)/ml, 0.1uM 47±2, 1 uM 48±2, 10 uM 51±4, 0.1 mM 53±4; positive control, 10 uM sodium nitroprusside 92±5 RFU/ml, p<0.01). In summary, UA interferes with Ca2+ transport in cultured HMC, triggering oxidative stress which may initiate a sequence of events leading to interstitial injury and possibly amplifying renal vascular damage and/or the progression of chronic disease.

Valutazione dell'efficacia di iniezioni peritendinee di acido ialuronico nel tendine rotuleo di ratto disallenato

Introduzione L’attività fisica moderata seguita da improvvisa interruzione può influenzare le caratteristiche biologiche del tendine. Lo scopo del lavoro è stato quello di valutare l’attività cellulare, le caratteristiche istologiche, istomorfometriche e microstrutturali del tendine patellare e della sua entesi in condizioni di non allenamento (sedentarietà), allenamento ed improvviso arresto dell’attività fisica. E’ stato ipotizzato che un’iniezione peri-tendinea di acido ialuronico nelle settimane successive all’improvviso arresto dell’attività fisica potesse mantenere l’integrità strutturale e biologica del tendine patellare. Materiali e Metodi 24 ratti Sprague Dawley maschi di 8 settimane sono stati suddivisi in tre gruppi, allenati per 10 settimane, fino a 60-80% VO2max. I ratti sono stati suddivisi in tre gruppi: Non Allenati (6), Allenati (6), Disallenati (12). A 6 dei 12 ratti del gruppo Detrained, è stata praticata un’infiltrazione peri-tendinea a nel tendine patellare destro di 300 μl di acido ialuronico, mentre nei rimanenti 6, è stata praticata l’infiltrazione con soluzione fisiologica. I tendini rotulei espiantati sono stati valutati con coltura cellulare, valutazione biologica molecolare, valutazioni morfologiche microstrutturali, proliferazione, conta ed attività cellulare. Risultati I risultati in vitro hanno evidenziato vitalità e conta cellulare simili fra i Gruppi Trained e Detrained-HA con un incremento significativo del metabolismo cellulare rispetto agli altri Gruppi. La cellularità ha mostrato valori maggiori nei Gruppi Non Allenati e Detrained-NaCl ove si è osservata una biosintesi del collagene III superiore ai Gruppi Trained e Detrained-HA. Contrariamente, la produzione di collagene I e II presentava valori maggiori nei Gruppi Trained e Detrained-HA suggerendo una superiore efficienza tessutale e metabolica di questi ultimi. Conclusioni Questi risultati confermano che l’allenamento ed il suo improvviso arresto hanno effetti sulla struttura tendinea patellare di ratto e che l’iniezione peritendinea di acido ialuronico nel periodo di inattività ha effetti significativi su metabolismo cellulare e sul tendine rispetto al trattamento con soluzione fisiologica.

Studio degli effetti della mordenzatura con acido fluoridrico sul disilicato di litio utilizzato in odontoiatria

Scopo dello studio: valutare i cambiamenti indotti da diversi trattamenti di mordenzatura sulla morfologia superficiale e sulla microstruttura di due vetro-ceramiche a base disilicato di litio (IPS e.max® Press e IPS e.max® CAD) ed esaminarne gli effetti sia sull’adesione con un cemento resinoso che sulla resistenza alla flessione. Materiali e metodi: Settanta dischetti (12 mm di diametro, 2 mm di spessore) di ogni ceramica sono stati preparati e divisi in 5 gruppi: nessun trattamento (G1), HF 5% 20s (G2), HF 5% 60s (G3), HF 9.6% 20s (G4), HF 9.6% 60s (G5). Un campione per ogni gruppo è stato analizzato mediante profilometro ottico e osservato al SEM. Per gli altri campioni è stato determinato lo shear bond strength (SBS) con un cemento resinoso. Dopo l’SBS test, i campioni sono stati caricati fino a frattura utilizzando il piston-on-three-ball test per determinarne la resistenza biassiale alla flessione. Risultati: L’analisi morfologica e microstrutturale dei campioni ha rivelato come diversi trattamenti di mordenzatura producano delle modifiche nella rugosità superficiale che non sono direttamente collegate ad un aumento dei valori di adesione e dei cambiamenti microstrutturali che sono più rilevanti con l’aumento del tempo di mordenzatura e di concentrazione dell’acido. I valori medi di adesione (MPa) per IPS e.max® CAD sono significativamente più alti in G2 e G3 (21,28 +/- 4,9 e 19,55 +/- 5,41 rispettivamente); per IPS e.max® Press, i valori più elevati sono in G3 (16,80 +/- 3,96). La resistenza biassiale alla flessione media (MPa) è più alta in IPS e.max® CAD (695 +/- 161) che in IPS e.max® Press (588 +/- 117), ma non è non influenzata dalla mordenzatura con HF. Conclusioni: il disilicato di litio va mordenzato preferibilmente con HF al 5%. La mordenzatura produce alcuni cambiamenti superficiali e microstrutturali nel materiale, ma tali cambiamenti non ne influenzano la resistenza in flessione.

Studi funzionali e strutturali sul wildtype e sul mutante γM23-K della ATP sintasi di Rhodobacter capsulatus: ruolo dell'ADP e della forza protonmotiva nell'attivazione dell’enzima e nell'accoppiamento dell'idrolisi di ATP alla traslocazione protonica

Nel presente lavoro di tesi sono state messe a confronto le ATP sintasi wild-type e γM23-K in cromatofori del batterio fotosintetico Rhodobacter capsulatus sotto gli aspetti funzionale e regolatorio. Si pensava inizialmente che la mutazione, in base a studi riportati in letteratura condotti sull’omologa mutazione in E. coli, avrebbe indotto disaccoppiamento intrinseco nell’enzima. Il presente lavoro ha chiarito che il principale effetto della mutazione è un significativo aumento dell’affinità dell’enzima per l’ADP inibitorio, che ne determina il ridotto livello di ATP idrolisi e la rapidissima reinattivazione in seguito ad attivazione da forza protonmotiva. Il residuo 23 della subunità γ si trova posizionato in prossimità della regione conservata DEELSED carica negativamente della subunità β, e l’introduzione nel mutante di una ulteriore carica positiva potrebbe determinare una maggiore richiesta di energia per indurre l’apertura del sito catalitico. Un’analisi quantitativa dei dati di proton pumping condotta mediante inibizione parziale dell’idrolisi del wildtype ha inoltre mostrato come il grado di accoppiamento del mutante in condizioni standard non differisca sostanzialmente da quello del wild-type. D’altro canto, è stato recentemente osservato come un disaccoppiamento intrinseco possa venire osservato in condizioni opportune anche nel wild-type, e cioè a basse concentrazioni di ADP e Pi. Nel presente lavoro di tesi si è dimostrato come nel mutante l’osservazione del fenomeno del disaccoppiamento intrinseco sia facilitata rispetto al wild-type. È stato proprio nell’ambito delle misure condotte sul mutante che è stato possibile dimostrare per la prima volta il ruolo fondamentale della componente elettrica della forza protonmotiva nel mantenere lo stato enzimatico ad elevato accoppiamento. Tale ruolo è stato successivamente messo in luce anche nel wild-type, in parte anche grazie all’uso di inibitori specifici di F1 e di FO. Il disaccoppiamento intrinseco nel wild-type è stato ulteriormente esaminato anche nella sua dipendenza dalla rimozione di ADP e Pi; in particolare, oltre all’amina fluorescente ACMA, è stata utilizzata come sonda di ΔpH anche la 9-aminoacridina e come sonda di Δψ l’Oxonolo VI. In entrambi i casi il ruolo accoppiante di questi due ligandi è stato confermato, inoltre utilizzando la 9-aminoacridina è stato possibile calibrare il segnale di fluorescenza con salti acido-base, dando quindi una base quantitativa ai dati ottenuti. Noi riteniamo che il più probabile candidato strutturale coinvolto in questi cambiamenti di stato enzimatici sia la subunità ε, di cui è noto il coinvolgimento in processi di regolazione e in cambiamenti strutturali indotti da nucleotidi e dalla forza protonmotiva. In collaborazione con il Dipartimento di Chimica Fisica dell’Università di Friburgo è in atto un progetto per studiare i cambiamenti strutturali presumibilmente associati al disaccoppiamento intrinseco tramite FRET in singola molecola di complessi ATP-sintasici marcati con fluorofori sia sulla subunità ε che sulla subunità γ. Nell’ambito di questa tesi sono stati creati a questo fine alcuni doppi mutanti cisteinici ed è stato messo a punto un protocollo per la loro marcatura con sonde fluorescenti.

Design and implementation of bioinformatics tools for large scale genome annotation

The continuous increase of genome sequencing projects produced a huge amount of data in the last 10 years: currently more than 600 prokaryotic and 80 eukaryotic genomes are fully sequenced and publically available. However the sole sequencing process of a genome is able to determine just raw nucleotide sequences. This is only the first step of the genome annotation process that will deal with the issue of assigning biological information to each sequence. The annotation process is done at each different level of the biological information processing mechanism, from DNA to protein, and cannot be accomplished only by in vitro analysis procedures resulting extremely expensive and time consuming when applied at a this large scale level. Thus, in silico methods need to be used to accomplish the task. The aim of this work was the implementation of predictive computational methods to allow a fast, reliable, and automated annotation of genomes and proteins starting from aminoacidic sequences. The first part of the work was focused on the implementation of a new machine learning based method for the prediction of the subcellular localization of soluble eukaryotic proteins. The method is called BaCelLo, and was developed in 2006. The main peculiarity of the method is to be independent from biases present in the training dataset, which causes the over‐prediction of the most represented examples in all the other available predictors developed so far. This important result was achieved by a modification, made by myself, to the standard Support Vector Machine (SVM) algorithm with the creation of the so called Balanced SVM. BaCelLo is able to predict the most important subcellular localizations in eukaryotic cells and three, kingdom‐specific, predictors were implemented. In two extensive comparisons, carried out in 2006 and 2008, BaCelLo reported to outperform all the currently available state‐of‐the‐art methods for this prediction task. BaCelLo was subsequently used to completely annotate 5 eukaryotic genomes, by integrating it in a pipeline of predictors developed at the Bologna Biocomputing group by Dr. Pier Luigi Martelli and Dr. Piero Fariselli. An online database, called eSLDB, was developed by integrating, for each aminoacidic sequence extracted from the genome, the predicted subcellular localization merged with experimental and similarity‐based annotations. In the second part of the work a new, machine learning based, method was implemented for the prediction of GPI‐anchored proteins. Basically the method is able to efficiently predict from the raw aminoacidic sequence both the presence of the GPI‐anchor (by means of an SVM), and the position in the sequence of the post‐translational modification event, the so called ω‐site (by means of an Hidden Markov Model (HMM)). The method is called GPIPE and reported to greatly enhance the prediction performances of GPI‐anchored proteins over all the previously developed methods. GPIPE was able to predict up to 88% of the experimentally annotated GPI‐anchored proteins by maintaining a rate of false positive prediction as low as 0.1%. GPIPE was used to completely annotate 81 eukaryotic genomes, and more than 15000 putative GPI‐anchored proteins were predicted, 561 of which are found in H. sapiens. In average 1% of a proteome is predicted as GPI‐anchored. A statistical analysis was performed onto the composition of the regions surrounding the ω‐site that allowed the definition of specific aminoacidic abundances in the different considered regions. Furthermore the hypothesis that compositional biases are present among the four major eukaryotic kingdoms, proposed in literature, was tested and rejected. All the developed predictors and databases are freely available at: BaCelLo http://gpcr.biocomp.unibo.it/bacello eSLDB http://gpcr.biocomp.unibo.it/esldb GPIPE http://gpcr.biocomp.unibo.it/gpipe

Computational methods for genome screening

Motivation An actual issue of great interest, both under a theoretical and an applicative perspective, is the analysis of biological sequences for disclosing the information that they encode. The development of new technologies for genome sequencing in the last years, opened new fundamental problems since huge amounts of biological data still deserve an interpretation. Indeed, the sequencing is only the first step of the genome annotation process that consists in the assignment of biological information to each sequence. Hence given the large amount of available data, in silico methods became useful and necessary in order to extract relevant information from sequences. The availability of data from Genome Projects gave rise to new strategies for tackling the basic problems of computational biology such as the determination of the tridimensional structures of proteins, their biological function and their reciprocal interactions. Results The aim of this work has been the implementation of predictive methods that allow the extraction of information on the properties of genomes and proteins starting from the nucleotide and aminoacidic sequences, by taking advantage of the information provided by the comparison of the genome sequences from different species. In the first part of the work a comprehensive large scale genome comparison of 599 organisms is described. 2,6 million of sequences coming from 551 prokaryotic and 48 eukaryotic genomes were aligned and clustered on the basis of their sequence identity. This procedure led to the identification of classes of proteins that are peculiar to the different groups of organisms. Moreover the adopted similarity threshold produced clusters that are homogeneous on the structural point of view and that can be used for structural annotation of uncharacterized sequences. The second part of the work focuses on the characterization of thermostable proteins and on the development of tools able to predict the thermostability of a protein starting from its sequence. By means of Principal Component Analysis the codon composition of a non redundant database comprising 116 prokaryotic genomes has been analyzed and it has been showed that a cross genomic approach can allow the extraction of common determinants of thermostability at the genome level, leading to an overall accuracy in discriminating thermophilic coding sequences equal to 95%. This result outperform those obtained in previous studies. Moreover, we investigated the effect of multiple mutations on protein thermostability. This issue is of great importance in the field of protein engineering, since thermostable proteins are generally more suitable than their mesostable counterparts in technological applications. A Support Vector Machine based method has been trained to predict if a set of mutations can enhance the thermostability of a given protein sequence. The developed predictor achieves 88% accuracy.

Fenomeni di trasporto ed elettrostatici in membrane da Nanofiltrazione

Fenomeni di trasporto ed elettrostatici in membrane da Nanofiltrazione La capacità di predire le prestazioni delle membrane da nanofiltrazione è molto importante per il progetto e la gestione di processi di separazione a membrana. Tali prestazioni sono strettamente legate ai fenomeni di trasporto che regolano il moto dei soluti all’interno della matrice della membrana. Risulta, quindi, di rilevante importanza la conoscenza e lo studio di questi fenomeni; l’obiettivo finale è quello di mettere a punto modelli di trasporto appropriati che meglio descrivano il flusso dei soluti all’interno della membrana. A fianco dei modelli di trasporto ricopre, quindi, una importanza non secondaria la caratterizzazione dei parametri aggiustabili propri della membrana sulla quale si opera. La procedura di caratterizzazione di membrane deve chiarire le modalità di svolgimento delle prove sperimentali e le finalità che esse dovrebbero conseguire. Tuttavia, nonostante i miglioramenti concernenti la modellazione del trasporto di ioni in membrana ottenuti dalla ricerca negli ultimi anni, si è ancora lontani dall’avere a disposizione un modello univoco in grado di descrivere i fenomeni coinvolti in maniera chiara. Oltretutto, la palese incapacità del modello di non riuscire a prevedere gli andamenti sperimentali di reiezione nella gran parte dei casi relativi a miscele multicomponenti e le difficoltà legate alla convergenza numerica degli algoritmi risolutivi hanno fortemente limitato gli sviluppi del processo anche e soprattutto in termini applicativi. Non da ultimo, si avverte la necessità di poter prevedere ed interpretare l’andamento della carica di membrana al variare delle condizioni operative attraverso lo sviluppo di un modello matematico in grado di descrivere correttamente il meccanismo di formazione della carica. Nel caso di soluzioni elettrolitiche, infatti, è stato riconosciuto che la formazione della carica superficiale è tra i fattori che maggiormente caratterizzano le proprietà di separazione delle membrane. Essa gioca un ruolo importante nei processi di trasporto ed influenza la sua selettività nella separazione di molecole caricate; infatti la carica di membrana interagisce elettrostaticamente con gli ioni ed influenza l’efficienza di separazione degli stessi attraverso la partizione degli elettroliti dalla soluzione esterna all’interno dei pori del materiale. In sostanza, la carica delle membrane da NF è indotta dalle caratteristiche acide delle soluzioni elettrolitiche poste in contatto con la membrana stessa, nonché dal tipo e dalla concentrazione delle specie ioniche. Nello svolgimento di questo lavoro sono stati analizzati i principali fenomeni di trasporto ed elettrostatici coinvolti nel processo di nanofiltrazione, in particolare si è focalizzata l’attenzione sugli aspetti relativi alla loro modellazione matematica. La prima parte della tesi è dedicata con la presentazione del problema generale del trasporto di soluti all’interno di membrane da nanofiltrazione con riferimento alle equazioni alla base del modello DSP&DE, che rappresenta una razionalizzazione dei modelli esistenti sviluppati a partire dal modello DSPM, nel quale sono stati integrarti i fenomeni di esclusione dielettrica, per quanto riguarda la separazione di elettroliti nella filtrazione di soluzioni acquose in processi di Nanofiltrazione. Il modello DSP&DE, una volta definita la tipologia di elettroliti presenti nella soluzione alimentata e la loro concentrazione, viene completamente definito da tre parametri aggiustabili, strettamente riconducibili alle proprietà della singola membrana: il raggio medio dei pori all’interno della matrice, lo spessore effettivo e la densità di carica di membrana; in più può essere considerato un ulteriore parametro aggiustabile del modello il valore che la costante dielettrica del solvente assume quando confinato in pori di ridotte dimensioni. L’impostazione generale del modello DSP&DE, prevede la presentazione dei fenomeni di trasporto all’interno della membrana, descritti attraverso l’equazione di Nerst-Planck, e lo studio della ripartizione a ridosso dell’interfaccia membrana/soluzione esterna, che tiene in conto di diversi contributi: l’impedimento sterico, la non idealità della soluzione, l’effetto Donnan e l’esclusione dielettrica. Il capitolo si chiude con la presentazione di una procedura consigliata per la determinazione dei parametri aggiustabili del modello di trasporto. Il lavoro prosegue con una serie di applicazioni del modello a dati sperimentali ottenuti dalla caratterizzazione di membrane organiche CSM NE70 nel caso di soluzioni contenenti elettroliti. In particolare il modello viene applicato quale strumento atto ad ottenere informazioni utili per lo studio dei fenomeni coinvolti nel meccanismo di formazione della carica; dall’elaborazione dei dati sperimentali di reiezione in funzione del flusso è possibile ottenere dei valori di carica di membrana, assunta quale parametro aggiustabile del modello. che permettono di analizzare con affidabilità gli andamenti qualitativi ottenuti per la carica volumetrica di membrana al variare della concentrazione di sale nella corrente in alimentazione, del tipo di elettrolita studiato e del pH della soluzione. La seconda parte della tesi relativa allo studio ed alla modellazione del meccanismo di formazione della carica. Il punto di partenza di questo studio è rappresentato dai valori di carica ottenuti dall’elaborazione dei dati sperimentali di reiezione con il modello di trasporto, e tali valori verranno considerati quali valori “sperimentali” di riferimento con i quali confrontare i risultati ottenuti. Nella sezione di riferimento è contenuta la presentazione del modello teorico “adsorption-amphoteric” sviluppato al fine di descrivere ed interpretare i diversi comportamenti sperimentali ottenuti per la carica di membrana al variare delle condizioni operative. Nel modello la membrana è schematizzata come un insieme di siti attivi di due specie: il gruppo di siti idrofobici e quello de siti idrofilici, in grado di supportare le cariche derivanti da differenti meccanismi chimici e fisici. I principali fenomeni presi in considerazione nel determinare la carica volumetrica di membrana sono: i) la dissociazione acido/base dei siti idrofilici; ii) il site-binding dei contro-ioni sui siti idrofilici dissociati; iii) l’adsorbimento competitivo degli ioni in soluzione sui gruppi funzionali idrofobici. La struttura del modello è del tutto generale ed è in grado di mettere in evidenza quali sono i fenomeni rilevanti che intervengono nel determinare la carica di membrana; per questo motivo il modello permette di indagare il contributo di ciascun meccanismo considerato, in funzione delle condizioni operative. L’applicazione ai valori di carica disponibili per membrane Desal 5-DK nel caso di soluzioni contenenti singoli elettroliti, in particolare NaCl e CaCl2 permette di mettere in evidenza due aspetti fondamentali del modello: in primis la sua capacità di descrivere andamenti molto diversi tra loro per la carica di membrana facendo riferimento agli stessi tre semplici meccanismi, dall’altra parte permette di studiare l’effetto di ciascun meccanismo sull’andamento della carica totale di membrana e il suo peso relativo. Infine vengono verificate le previsioni ottenute con il modello dal suddetto studio attraverso il confronto con dati sperimentali di carica ottenuti dall’elaborazione dei dati sperimentali di reiezione disponibili per il caso di membrane CSM NE70. Tale confronto ha messo in evidenza le buone capacità previsionali del modello soprattutto nel caso di elettroliti non simmetrici quali CaCl2 e Na2SO4. In particolare nel caso un cui lo ione divalente rappresenta il contro-ione rispetto alla carica propria di membrana, la carica di membrana è caratterizzata da un andamento unimodale (contraddistinto da un estremante) con la concentrazione di sale in alimentazione. Il lavoro viene concluso con l’estensione del modello ADS-AMF al caso di soluzioni multicomponenti: è presentata una regola di mescolamento che permette di ottenere la carica per le soluzioni elettrolitiche multicomponenti a partire dai valori disponibili per i singoli ioni componenti la miscela.

Molecular bases, pathogenic mechanisms and possible therapeutic approach in Leber's Hereditary Optic Neuropathy

Leber’s hereditary optic neuropathy (LHON) is a mitochondrial disease characterized by a rapid loss of central vision and optic atrophy, due to the selective degeneration of retinal ganglion cells. The age of onset is around 20, and the degenerative process is fast and usually the second eye becomes affected in weeks or months. Even if this pathology is well known and has been well characterized, there are still open questions on its pathophysiology, such as the male prevalence, the incomplete penetrance and the tissue selectivity. This maternally inherited disease is caused by mutations in mitochondrial encoded genes of NADH ubiquinone oxidoreductase (complex I) of the respiratory chain. The 90% of LHON cases are caused by one of the three common mitochondrial DNA mutations (11778/ND4, 14484/ND6 and 3460/ND1) and the remaining 10% is caused by rare pathogenic mutations, reported in literature in one or few families. Moreover, there is also a small subset of patients reported with new putative pathogenic nucleotide changes, which awaits to be confirmed. We here clarify some molecular aspects of LHON, mainly the incomplete penetrance and the role of rare mtDNA mutations or variants on LHON expression, and attempt a possible therapeutic approach using the cybrids cell model. We generated novel structural models for mitochondrial encoded complex I subunits and a conservation analysis and pathogenicity prediction have been carried out for LHON reported mutations. This in-silico approach allowed us to locate LHON pathogenic mutations in defined and conserved protein domains and can be a useful tool in the analysis of novel mtDNA variants with unclear pathogenic/functional role. Four rare LHON pathogenic mutations have been identified, confirming that the ND1 and ND6 genes are mutational hot spots for LHON. All mutations were previously described at least once and we validated their pathogenic role, suggesting the need for their screening in LHON diagnostic protocols. Two novel mtDNA variants with a possible pathogenic role have been also identified in two independent branches of a large pedigree. Functional studies are necessary to define their contribution to LHON in this family. It also been demonstrated that the combination of mtDNA rare polymorphic variants is relevant in determining the maternal recurrence of myoclonus in unrelated LHON pedigrees. Thus, we suggest that particular mtDNA backgrounds and /or the presence of specific rare mutations may increase the pathogenic potential of the primary LHON mutations, thereby giving rise to the extraocular clinical features characteristic of the LHON “plus” phenotype. We identified the first molecular parameter that clearly discriminates LHON affected individuals from asymptomatic carriers, the mtDNA copy number. This provides a valuable mechanism for future investigations on variable penetrance in LHON. However, the increased mtDNA content in LHON individuals was not correlated to the functional polymorphism G1444A of PGC-1 alpha, the master regulator of mitochondrial biogenesis, but may be due to gene expression of genes involved in this signaling pathway, such as PGC-1 alpha/beta and Tfam. Future studies will be necessary to identify the biochemical effects of rare pathogenic mutations and to validate the novel candidate mutations here described, in terms of cellular bioenergetic characterization of these variants. Moreover, we were not able to induce mitochondrial biogenesis in cybrids cell lines using bezafibrate. However, other cell line models are available, such as fibroblasts harboring LHON mutations, or other approaches can be used to trigger the mitochondrial biogenesis.

Preclinical development of cancer vaccines

Triplex cell vaccine is a cancer immunopreventive cell vaccine that can prevent almost completely mammary tumor onset in HER-2/neu transgenic mice. A future translation of cancer immunoprevention from preclinical to clinical studies should take into account several aspects. The work reported in this thesis deals with the study of three of these aspects: vaccine schedule, activity in a therapeutic set-up and second-generation DNA vaccines. An important element in determining human acceptance and compliance of a treatment protocol is the number of vaccinations. In order to improve the vaccination schedule a minimal protocol was searched, i.e. a schedule consisting of a lower number of administrations than standard protocol but with a similar efficacy. A candidate optimal protocol was identified by the use of an in silico model, SimTriplex simulator. The in vivo test of this schedule in HER-2/neu transgenic mice only partially confirmed in silico predictions. This result shows that in silico models have the potential ability to aid in searching of optimal treatment protocols, provided that they will be further tuned on experimental data. As a further result this preclinical study highlighted that kinetic of antibody response plays a major role in determining cancer prevention, leading to the hypothesis of a threshold that must be reached rapidly and maintained lifetime. Early clinical trials would be performed in a therapeutic, rather than preventive, setting. Thus, the activity of Triplex vaccine was investigated against experimental lung metastases in HER-2/neu transgenic mice in order to evaluate if the immunopreventive Triplex vaccine could be effective also against a pre-existing tumor mass. This preclinical model of aggressive metastatic development showed that the vaccine was an efficient treatment also 4 for the cure of micrometastases. However the immune mechanisms activated against tumor mass were not antibody dependent, i.e. different from those preventing the onset of primary mammary carcinoma. DNA vaccines could be more easily used than cellular ones. A second generation of Triplex vaccine based on DNA plasmids was evaluated in an aggressive preclinical model (BALBp53neu female mice) and compared with the preventive ability of cellular Triplex vaccine. It was observed that Triplex DNA vaccine was as effective as Triplex cell vaccine, exploiting a more restricted immune stimulation.

Different approaches to identify markers for meat quality and production traits in pigs: analysis of the transcriptome in post mortem skeletal muscle and investigation of candidate genes

Due to the growing attention of consumers towards their food, improvement of quality of animal products has become one of the main focus of research. To this aim, the application of modern molecular genetics approaches has been proved extremely useful and effective. This innovative drive includes all livestock species productions, including pork. The Italian pig breeding industry is unique because needs heavy pigs slaughtered at about 160 kg for the production of high quality processed products. For this reason, it requires precise meat quality and carcass characteristics. Two aspects have been considered in this thesis: the application of the transcriptome analysis in post mortem pig muscles as a possible method to evaluate meat quality parameters related to the pre mortem status of the animals, including health, nutrition, welfare, and with potential applications for product traceability (chapters 3 and 4); the study of candidate genes for obesity related traits in order to identify markers associated with fatness in pigs that could be applied to improve carcass quality (chapters 5, 6, and 7). Chapter three addresses the first issue from a methodological point of view. When we considered this issue, it was not obvious that post mortem skeletal muscle could be useful for transcriptomic analysis. Therefore we demonstrated that the quality of RNA extracted from skeletal muscle of pigs sampled at different post mortem intervals (20 minutes, 2 hours, 6 hours, and 24 hours) is good for downstream applications. Degradation occurred starting from 48 h post mortem even if at this time it is still possible to use some RNA products. In the fourth chapter, in order to demonstrate the potential use of RNA obtained up to 24 hours post mortem, we present the results of RNA analysis with the Affymetrix microarray platform that made it possible to assess the level of expression of more of 24000 mRNAs. We did not identify any significant differences between the different post mortem times suggesting that this technique could be applied to retrieve information coming from the transcriptome of skeletal muscle samples not collected just after slaughtering. This study represents the first contribution of this kind applied to pork. In the fifth chapter, we investigated as candidate for fat deposition the TBC1D1 [TBC1 (tre-2/USP6, BUB2, cdc16) gene. This gene is involved in mechanisms regulating energy homeostasis in skeletal muscle and is associated with predisposition to obesity in humans. By resequencing a fragment of the TBC1D1 gene we identified three synonymous mutations localized in exon 2 (g.40A>G, g.151C>T, and g.172T>C) and 2 polymorphisms localized in intron 2 (g.219G>A and g.252G>A). One of these polymorphisms (g.219G>A) was genotyped by high resolution melting (HRM) analysis and PCR-RFLP. Moreover, this gene sequence was mapped by radiation hybrid analysis on porcine chromosome 8. The association study was conducted in 756 performance tested pigs of Italian Large White and Italian Duroc breeds. Significant results were obtained for lean meat content, back fat thickness, visible intermuscular fat and ham weight. In chapter six, a second candidate gene (tribbles homolog 3, TRIB3) is analyzed in a study of association with carcass and meat quality traits. The TRIB3 gene is involved in energy metabolism of skeletal muscle and plays a role as suppressor of adipocyte differentiation. We identified two polymorphisms in the first coding exon of the porcine TRIB3 gene, one is a synonymous SNP (c.132T> C), a second is a missense mutation (c.146C> T, p.P49L). The two polymorphisms appear to be in complete linkage disequilibrium between and within breeds. The in silico analysis of the p.P49L substitution suggests that it might have a functional effect. The association study in about 650 pigs indicates that this marker is associated with back fat thickness in Italian Large White and Italian Duroc breeds in two different experimental designs. This polymorphisms is also associated with lactate content of muscle semimembranosus in Italian Large White pigs. Expression analysis indicated that this gene is transcribed in skeletal muscle and adipose tissue as well as in other tissues. In the seventh chapter, we reported the genotyping results for of 677 SNPs in extreme divergent groups of pigs chosen according to the extreme estimated breeding values for back fat thickness. SNPs were identified by resequencing, literature mining and in silico database mining. analysis, data reported in the literature of 60 candidates genes for obesity. Genotyping was carried out using the GoldenGate (Illumina) platform. Of the analyzed SNPs more that 300 were polymorphic in the genotyped population and had minor allele frequency (MAF) >0.05. Of these SNPs, 65 were associated (P<0.10) with back fat thickness. One of the most significant gene marker was the same TBC1D1 SNPs reported in chapter 5, confirming the role of this gene in fat deposition in pig. These results could be important to better define the pig as a model for human obesity other than for marker assisted selection to improve carcass characteristics.

Epidemiological and functional characterization of Streptococcus pneumoniae pili

Streptococcus pneumoniae is an important life threatening human pathogen causing agent of invasive diseases such as otitis media, pneumonia, sepsis and meningitis, but is also a common inhabitant of the respiratory tract of children and healthy adults. Likewise most streptococci, S. pneumoniae decorates its surface with adhesive pili, composed of covalently linked subunits and involved in the attachment to epithelial cells and virulence. The pneumococcal pili are encoded by two genomic regions, pilus islet 1 (PI-1), and pilus islet-2 (PI-2), which are present in about 30% and 16% of the pneumococcal strains, respectively. PI-1 exists in three clonally related variants, whereas PI-2 is highly conserved. The presence of the islets does not correlate with the serotype of the strains, but with the genotype (as determined by Multi Locus Sequence Typing). The prevalence of PI-1 and PI-2 positive strains is similar in isolates from invasive disease and carriage. To better dissect a possible association between PIs presence and disease we evaluated the distribution of the two PIs in a panel of 113 acute otitis media (AOM) clinical isolates from Israel. PI-1 was present in 30.1% (N=34) of the isolates tested, and PI-2 in 7% (N=8). We found that 50% of the PI-1 positive isolates belonged to the international clones Spain9V-3 (ST156) and Taiwan19F-14 (ST236), and that PI-2 was not present in the absence of Pl-1. In conclusion, there was no correlation between PIs presence and AOM, and, in general, the observed differences in PIs prevalence are strictly dependent upon regional differences in the distribution of the clones. Finally, in the AOM collection the prevalence of PI-1 was higher among antibiotic resistant isolates, confirming previous indications obtained by the in silico analysis of the MLST database collection. Since the pilus-1 subunits were shown to confer protection in mouse models of infection both in active and passive immunization studies, and were regarded as potential candidates for a new generation of protein-based vaccines, the functional characterization was mainly focused on S. pneumoniae pilus -1 components. The pneumococcal pilus-1 is composed of three subunits, RrgA, RrgB and RrgC, each stabilized by intra-molecular isopeptide bonds and covalently polymerized by means of inter-molecular isopeptide bonds to form an extended fibre. The pilus shaft is a multimeric structure mainly composed by the RrgB backbone subunit. The minor ancillary proteins are located at the tip and at the base of the pilus, where they have been proposed to act as the major adhesin (RrgA) and as the pilus anchor (RrgC), respectively. RrgA is protective in in vivo mouse models, and exists in two variants (clades I and II). Mapping of the sequence variability onto the RrgA structure predicted from X-ray data showed that the diversity was restricted to the “head” of the protein, which contains the putative binding domains, whereas the elongated “stalk” was mostly conserved. To investigate whether this variability could influence the adhesive capacity of RrgA and to map the regions important for binding, two full-length protein variants and three recombinant RrgA portions were tested for adhesion to lung epithelial cells and to purified extracellular matrix (ECM) components. The two RrgA variants displayed similar binding abilities, whereas none of the recombinant fragments adhered at levels comparable to those of the full-length protein, suggesting that proper folding and structural arrangement are crucial to retain protein functionality. Furthermore, the two RrgA variants were shown to be cross-reactive in vitro and cross-protective in vivo in a murine model of passive immunization. Taken together, these data indicate that the region implicated in adhesion and the functional epitopes responsible for the protective ability of RrgA may be conserved and that the considerable level of variation found within the “head” domain of RrgA may have been generated by immunologic pressure without impairing the functional integrity of the pilus.

Methodological improvement of 3D fluoroscopic analysis for the robust quantification of 3D kinematics of human joints

3D video-fluoroscopy is an accurate but cumbersome technique to estimate natural or prosthetic human joint kinematics. This dissertation proposes innovative methodologies to improve the 3D fluoroscopic analysis reliability and usability. Being based on direct radiographic imaging of the joint, and avoiding soft tissue artefact that limits the accuracy of skin marker based techniques, the fluoroscopic analysis has a potential accuracy of the order of mm/deg or better. It can provide fundamental informations for clinical and methodological applications, but, notwithstanding the number of methodological protocols proposed in the literature, time consuming user interaction is exploited to obtain consistent results. The user-dependency prevented a reliable quantification of the actual accuracy and precision of the methods, and, consequently, slowed down the translation to the clinical practice. The objective of the present work was to speed up this process introducing methodological improvements in the analysis. In the thesis, the fluoroscopic analysis was characterized in depth, in order to evaluate its pros and cons, and to provide reliable solutions to overcome its limitations. To this aim, an analytical approach was followed. The major sources of error were isolated with in-silico preliminary studies as: (a) geometric distortion and calibration errors, (b) 2D images and 3D models resolutions, (c) incorrect contour extraction, (d) bone model symmetries, (e) optimization algorithm limitations, (f) user errors. The effect of each criticality was quantified, and verified with an in-vivo preliminary study on the elbow joint. The dominant source of error was identified in the limited extent of the convergence domain for the local optimization algorithms, which forced the user to manually specify the starting pose for the estimating process. To solve this problem, two different approaches were followed: to increase the optimal pose convergence basin, the local approach used sequential alignments of the 6 degrees of freedom in order of sensitivity, or a geometrical feature-based estimation of the initial conditions for the optimization; the global approach used an unsupervised memetic algorithm to optimally explore the search domain. The performances of the technique were evaluated with a series of in-silico studies and validated in-vitro with a phantom based comparison with a radiostereometric gold-standard. The accuracy of the method is joint-dependent, and for the intact knee joint, the new unsupervised algorithm guaranteed a maximum error lower than 0.5 mm for in-plane translations, 10 mm for out-of-plane translation, and of 3 deg for rotations in a mono-planar setup; and lower than 0.5 mm for translations and 1 deg for rotations in a bi-planar setups. The bi-planar setup is best suited when accurate results are needed, such as for methodological research studies. The mono-planar analysis may be enough for clinical application when the analysis time and cost may be an issue. A further reduction of the user interaction was obtained for prosthetic joints kinematics. A mixed region-growing and level-set segmentation method was proposed and halved the analysis time, delegating the computational burden to the machine. In-silico and in-vivo studies demonstrated that the reliability of the new semiautomatic method was comparable to a user defined manual gold-standard. The improved fluoroscopic analysis was finally applied to a first in-vivo methodological study on the foot kinematics. Preliminary evaluations showed that the presented methodology represents a feasible gold-standard for the validation of skin marker based foot kinematics protocols.

Harmful algae and their potential impacts on the coastal ecosystem: growth and toxin production dynamics

The main goal of the present thesis was to study some harmful algal species which cause blooms in Italian coastal waters, leading to consequences for human health, coastal ecosystem, fishery and tourism. In particular, in the first part of this thesis the toxicity of Adriatic strains of the raphidophyte Fibrocapsa japonica was investigated. Despite several hypotheses have been proposed for the toxic mechanism of the raphidophytes, especially for the species Chattonella antiqua and C. marina, which have been studied more extensively, just a few studies on the toxic effects of these species for different organisms were reported. Moreover, a careful reading of the literature evidenced as any ichthyotoxic events reported worldwide can be linked to F. japonica blooms. Although recently several studies were performed on F. japonica strains from the USA, Japan, Australia, New Zealand, the Netherlands, Germany, and France in order to characterize their growth and toxicity features, the work reported in this thesis results one of the first investigation on the toxic effects of F. japonica for different organisms, such as bacteria, crustaceans and fish. Mortality effects, together with haemolysis of fish erythrocytes, probably due to the relatively high amount of PUFAs produced by this species, were observed. Mortality for fish, however, was reported only at a high cell density and after a long exposition period (9-10 days); moreover a significant increase of H2O2 obtained in the tanks where sea basses were exposed to F. japonica was also relevant. This result may justify the absence of ichthyotoxic events in the Italian coasts, despite F. japonica blooms detected in these areas were characterized by high cell densities. This work reports also a first complete characterization of the fatty acids produced and extracellularly released by the Adriatic F. japonica, and results were also compared with the fatty acid profile of other strains. The absence of known brevetoxins in F. japonica algal extracts was also highlighted, leading to the hypothesis that the toxicity of F. japonica may be due to a synergic effect of PUFAs and ROS. Another microalgae that was studied in this thesis is the benthic dinoflagellate Ostreopsis cf. ovata. This species was investigated with the aim to investigate the effect of environmental parameters on its growth and toxicity. O. cf. ovata, in fact, shows different blooming periods along the Italian coasts and even the reported toxic effects are variable. The results of this work confirmed the high variability in the growth dynamic and toxin content of several Italian strains which were isolated in recent years along the Adriatic and Tyrrhenian Seas. Moreover, the effects of temperature and salinity on the behaviour of the different isolates are in good agreement with the results obtained from field surveys, which evidence as the environmental parameters are important factors modulating O. cf. ovata proliferation. Another relevant result that was highlighted is the anomaly in the production of palytoxin-like compounds reported by one of the studied isolate, in particular the one isolated in 2008 in Ancona (Adriatic Sea). Only this strain reported the absence of two (ovatoxin-b and –c) of the five ovatoxins so far known in the toxin profile and a different relative abundance of the other toxins. The last aspect that was studied in this thesis regards the toxin biosythesis. In fact, toxins produced (palytoxin-like compounds) or supposed to be produced (brevetoxin-like compounds) by O. cf. ovata and F. japonica, respectively, are polyketides, which are highly oxygenated compounds synthesized by complex enzymes known as polyketide synthase (PKS) enzymes. These enzymes are multi-domain complexes that structurally and functionally resemble the fatty acid synthases (FASs). This work reports the first study of PKS proteins in the dinoflagellates O. cf. ovata, C. monotis and in the raphidophyte F. japonica. For the first time some PKSs were identified in these species, confirming the presence of PKS proteins predicted by the in silico translation of the transcripts found in K. brevis also in other species. The identification of O. cf. ovata PKSs and the localization of the palytoxin-like compounds produced by this dinoflagellate in a similar location (chloroplast) as that observed for other dinoflagellate and cyanobacterial toxins provides some indication that these proteins may be involved in polyketide biosynthesis. However, their potential function as fatty acid synthases cannot be ruled out, as plant fatty acid synthesis also occurs within chloroplasts. This last hypothesis is also supported by the fact that in all the investigated species, and in particular in F. japonica, PKS proteins were present. Therefore, these results provide an important contribution to the study of the polyketides and of the involvement of PKS proteins in the toxin biosynthesis.