Biomimetica per l'ingegneria tissutale dell'osso

Reconstruction of bone is needed for high bone loss due to congenital deformities, trauma or neoplastic diseases. Commonly, orthopaedic surgical treatments are autologus or allogenic bone implant or prosthetic implant. A choice to the traditional approaches could be represented by tissue engineering that use cells (and/or their products) and innovative biomaterials to perform bone substitutes biologically active as an alternative to artificial devices. In the last years, there was a wide improvement in biology on stem cells potential research and in biomedical engineering through development of new biomaterials designed to resemble the physiological tissues. Tissue engineering strategies and smart materials aim together to stimulate in vivo bone regeneration. This approaches drive at restore not only structure integrity and/or function of the original tissue, but also to induce new tissue deposition in situ. An intelligent bone substitute is now designed like not only a scaffold but also as carrier of regeneration biomolecular signals. Biomimetics has helped to project new tissue engineered devices to simulate the physiological substrates architecture, such extracellular matrix (ECM), and molecular signals that drive the integration at the interface between pre-existing tissue and scaffold. Biomimetic strategies want to increase the material surface biological activity with physical modifications (topography) o chemical ones (adhesive peptides), to improve cell adhesion to material surface and possibly scaffold colonization. This study evaluated the effects of biomimetic modifications of surgical materials surface, as poly-caprolattone (PCL) and titanium on bone stem cells behaviour in a marrow experimental model in vitro. Two biomimetic strategies were analyzed; ione beam irradiation, that changes the surface roughness at the nanoscale, and surface functionalization with specific adhesive peptides or Self Assembled Monolayers (SAMs). These new concept could be a mean to improve the early (cell adhesion, spreading..) and late phases (osteoblast differentiation) of cell/substrate interactions.

Clinicopathological and molecular characterization of gastroesophageal junction (GEJ) adenocarcinoma before age of 40 years

Gastroesophageal junction (GEJ) adenocarcinoma are uncommon before age of 40 years. While certain clinical, pathological and molecular features of GEJ adenocarcinoma in older patients have been extensively studied, these characteristics in the younger population remain to be determined. In the recent literature, a high sensitivity and specificity for the detection of dysplasia and esophageal adenocarcinoma was demonstrated by using multicolor fluorescence in situ hybridization (FISH) DNA probe set specific for the locus specific regions 9p21 (p16), 20q13.2 and Y chromosome. We evaluated 663 patients with GEJ adenocarcinoma and further divided them into 2 age-groups of or= 50 years, rispectively. FISH with selected DNA probe for Y chromosome, locus 9p21 (p16), and locus 20q13.2 was investigated with formalin fixed and parassin embedded tissue from surgical resections of 17 younger and 11 older patients. Signals were counted in > 100 cells with each given histopathological category. The chromosomal aberrations were then compared in the 2 age-groups with the focus on uninvolved squamous and columnar epithelium, intestinal metaplasia (Barrett's mucosa), glandular dysplasia, and adenocarcinoma. Comparisons were performed by the X2 test, Fisher's exact test, Student's t-test and Mann-Whitney U-test as appropriate. Survival was estimated by the Kaplan-Meier method with univariate analysis by the log-rank. Significance was taken at the 5% level. There was no difference in the surgical technique applied in both age groups and most patients underwent Ivor Lewis esophagectomy. Among clinical variables there was a higher incidence of smocking history in older patient group. We identified a progressive loss of Y chromosome from benign squamos epithelium to Barrett's mucosa and glandular dysplasia, and, ultimately, to a near complete loss in adenocarcinoma in both age groups. The young group revealed significantly more losses of 9p21 in both benign and neoplastic cells when compared to the older patients group. In addition, we demonstrated an increase in the percentage of cells showing gain of locus 20q13.2 with progression from benign epithelium through dysplasia to adenocarcinoma with almost the same trend in both the young and the older patients. When compared with the older age-group, younger patients with GEJ adenocarcinoma possess similar known demographics, environmental factors, clinical, and pathologic characteristics. The most commonly detected genetic aberrations of progressive Y chromosomal loss, 9p21 locus loss, and 20q13 gains were similar in the younger and older patients. However the rate of loss of 9p21 is significantly higher in young patients, in both the benign and the neoplastic cells. The loss of 9p21, and possibly, the subsequent inactivation of p16 gene may be one of the molecular mechanisms responsible for the accelerated neoplastic process in young patients.

NMR, Metabonomics and Molecular Profiles: Applications to the Quality Assessment of Foodstuffs

Nuclear Magnetic Resonance (NMR) is a branch of spectroscopy that is based on the fact that many atomic nuclei may be oriented by a strong magnetic field and will absorb radiofrequency radiation at characteristic frequencies. The parameters that can be measured on the resulting spectral lines (line positions, intensities, line widths, multiplicities and transients in time-dependent experi-ments) can be interpreted in terms of molecular structure, conformation, molecular motion and other rate processes. In this way, high resolution (HR) NMR allows performing qualitative and quantitative analysis of samples in solution, in order to determine the structure of molecules in solution and not only. In the past, high-field NMR spectroscopy has mainly concerned with the elucidation of chemical structure in solution, but today is emerging as a powerful exploratory tool for probing biochemical and physical processes. It represents a versatile tool for the analysis of foods. In literature many NMR studies have been reported on different type of food such as wine, olive oil, coffee, fruit juices, milk, meat, egg, starch granules, flour, etc using different NMR techniques. Traditionally, univariate analytical methods have been used to ex-plore spectroscopic data. This method is useful to measure or to se-lect a single descriptive variable from the whole spectrum and , at the end, only this variable is analyzed. This univariate methods ap-proach, applied to HR-NMR data, lead to different problems due especially to the complexity of an NMR spectrum. In fact, the lat-ter is composed of different signals belonging to different mole-cules, but it is also true that the same molecules can be represented by different signals, generally strongly correlated. The univariate methods, in this case, takes in account only one or a few variables, causing a loss of information. Thus, when dealing with complex samples like foodstuff, univariate analysis of spectra data results not enough powerful. Spectra need to be considered in their wholeness and, for analysing them, it must be taken in consideration the whole data matrix: chemometric methods are designed to treat such multivariate data. Multivariate data analysis is used for a number of distinct, differ-ent purposes and the aims can be divided into three main groups: • data description (explorative data structure modelling of any ge-neric n-dimensional data matrix, PCA for example); • regression and prediction (PLS); • classification and prediction of class belongings for new samples (LDA and PLS-DA and ECVA). The aim of this PhD thesis was to verify the possibility of identify-ing and classifying plants or foodstuffs, in different classes, based on the concerted variation in metabolite levels, detected by NMR spectra and using the multivariate data analysis as a tool to inter-pret NMR information. It is important to underline that the results obtained are useful to point out the metabolic consequences of a specific modification on foodstuffs, avoiding the use of a targeted analysis for the different metabolites. The data analysis is performed by applying chemomet-ric multivariate techniques to the NMR dataset of spectra acquired. The research work presented in this thesis is the result of a three years PhD study. This thesis reports the main results obtained from these two main activities: A1) Evaluation of a data pre-processing system in order to mini-mize unwanted sources of variations, due to different instrumental set up, manual spectra processing and to sample preparations arte-facts; A2) Application of multivariate chemiometric models in data analy-sis.

A molecular phylogeny of bivalve mollusks: ancient radiations and divergences as revealed by mitochondrial genes

The main scope of my PhD is the reconstruction of the large-scale bivalve phylogeny on the basis of four mitochondrial genes, with samples taken from all major groups of the class. To my knowledge, it is the first attempt of such a breadth in Bivalvia. I decided to focus on both ribosomal and protein coding DNA sequences (two ribosomal encoding genes -12s and 16s -, and two protein coding ones - cytochrome c oxidase I and cytochrome b), since either bibliography and my preliminary results confirmed the importance of combined gene signals in improving evolutionary pathways of the group. Moreover, I wanted to propose a methodological pipeline that proved to be useful to obtain robust results in bivalves phylogeny. Actually, best-performing taxon sampling and alignment strategies were tested, and several data partitioning and molecular evolution models were analyzed, thus demonstrating the importance of molding and implementing non-trivial evolutionary models. In the line of a more rigorous approach to data analysis, I also proposed a new method to assess taxon sampling, by developing Clarke and Warwick statistics: taxon sampling is a major concern in phylogenetic studies, and incomplete, biased, or improper taxon assemblies can lead to misleading results in reconstructing evolutionary trees. Theoretical methods are already available to optimize taxon choice in phylogenetic analyses, but most involve some knowledge about genetic relationships of the group of interest, or even a well-established phylogeny itself; these data are not always available in general phylogenetic applications. The method I proposed measures the "phylogenetic representativeness" of a given sample or set of samples and it is based entirely on the pre-existing available taxonomy of the ingroup, which is commonly known to investigators. Moreover, it also accounts for instability and discordance in taxonomies. A Python-based script suite, called PhyRe, has been developed to implement all analyses.

Characterization of optical transduction-based molecular systems and nanoparticles for the development of chemical sensors

With the increasing importance that nanotechnologies have in everyday life, it is not difficult to realize that also a single molecule, if properly designed, can be a device able to perform useful functions: such a chemical species is called chemosensor, that is a molecule of abiotic origin that signals the presence of matter or energy. Signal transduction is the mechanism by which an interaction of a sensor with an analyte yields a measurable form of energy. When dealing with the design of a chemosensor, we need to take into account a “communication requirement” between its three component: the receptor unit, responsible for the selective analyte binding, the spacer, which controls the geometry of the system and modulates the electronic interaction between the receptor and the signalling unit, whose physico-chemical properties change upon complexation. A luminescent chemosensor communicates a variation of the physico-chemical properties of the receptor unit with a luminescence output signal. This thesis work consists in the characterization of new molecular and nanoparticle-based system which can be used as sensitive materials for the construction of new optical transduction devices able to provide information about the concentration of analytes in solution. In particular two direction were taken. The first is to continue in the development of new chemosensors, that is the first step for the construction of reliable and efficient devices, and in particular the work will be focused on chemosensors for metal ions for biomedical and environmental applications. The second is to study more efficient and complex organized systems, such as derivatized silica nanoparticles. These system can potentially have higher sensitivity than molecular systems, and present many advantages, like the possibility to be ratiometric, higher Stokes shifts and lower signal-to-noise ratio.