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.

Alterazioni dell'immunità umorale nei pazienti con sarcoma di Kaposi classico: caratterizzazione dei linfociti B circolanti e delle loro sottopopolazioni

Objectives: Human Herpesvirus 8 (HHV-8) is the etiological agent of Kaposi’s Sarcoma (KS) and it is also associated with two B cell lymphoproliferative diseases: primary effusion lymphoma (PEL), and the plasmablastic form of multicentric Castelman’s disease (MCD). HHV-8 establishes persistent infection in the host with tropism for multiple cell types. In KS patients, the virus is found in tumor-spindle cells, peripheral blood monocytes, endothelial progenitor circulating cells, T and B lymphocytes. Peripheral B cells represent one of the major virus reservoir, but the consequences of HHV-8 infection of these cells have been poorly characterized. Therefore, in this study the frequency, the immunophenotypic profile and the functional activity of different peripheral B cell subsets in patients with classic KS (cKS) was analysed in order to identify potential alterations of these cells. The classic variant of KS is ideal to perform such studies, as it lacks confounding factors such as HIV or EBV infection and immunosuppression. Methods: Whole-blood samples from patients with the classical form of KS (cKS) (n=62) and healthy age and sex-matched seronegative controls (HSN) (n=43) were analyzed by multiparametric flow-cytometry to determine the frequency of B cells and their subpopulations, as well as their surface expression of immunoglobulins and activation markers. Results: The frequency of circulating B cells was significantly higher in cKS patients than in controls. In particular, the analysis of the B cell subsets revealed a higher frequency of naïve B cells (CD19+CD27-), among which transitional CD19+CD38highCD5+ and pre-naïve (CD27-CD38intCD5+ ) B cells demonstrated an expansion. Memory B cells (CD19+CD27+) did not differ between the two study groups, except from a higher frequency of CD19+CD27+IgM+IgD+ B cells, the typical phenotype of marginal zone (MZ) B cells, in cKS patients. The characterization of membrane surface activation markers showed lower levels of the activation marker HLA-DR only on CD27- B cells, while CD80 and CD86 were less represented in all the the B cells from cKS patients. Moreover, B cells from cKS patients were smaller and with less granules than the ones from controls. Conclusion: Taken together, these results clearly indicate that circulating B cells are altered in patients with cKS, showing an expansion of the immature phenotypes. These B cell alterations may be due to an indirect viral effect rather than to a direct one: the cytokines expressed in the microenvironment typical of cKS may cause a faster release of immature cells from the bone marrow and a lower grade of peripheral differentiation, as already suggested for other chronic viral infections such as HIV and HCV. Further studies will be necessary to understand how these alterations contribute to the pathogenesis of KS and, eventually, to the different clinical evolution of the disease.

Practical implications of aflatoxin contamination in corn

Aflatoxin (AFL) contamination of corn is a serious economic and food security issue. Although a variety of technical solutions for reducing AFL contamination of corn have been proposed, only a few have produced satisfactory results. A successful approach is a biocontrol strategy consisting of using non-flatoxigenic strains of Aspergillus flavus to replace indigenous AFL-producing isolates. The main objective of the present thesis was to investigate the dynamic and contamination of AFL/A. flavus in corn in Northern Italy. The study also investigated the role of the key-pest of corn, the European Corn Borer (ECB), on AFL contamination and dispersal of A. flavus propagules in corn. Finally, the study evaluated the feasibility of bioplastic-based granules entrapping a non-aflatoxigenic A. flavus strain for the biocontrol of this fungus in corn. The 2-year field study demonstrated the efficacy of the bioplastic formulation to reduce AFL contamination in corn. More precisely, although AFL contamination varied among the two years, application of 15 and 30 kg ha-1 of granules reduced AFL contamination to up 60 and 85% in 2009 and 2010 respectively. Microbiological analysis showed that the relative abundance of non-aflatoxigenic soil isolates significantly increased after 1 month from granules application (mid-May) and throughout the corn-growing season. These findings were consistent with data obtained using a bioplastic-based bait specifically developed to selectively isolate Aspergilli from soil and other environmental samples. In addition, field and laboratory evaluations showed that the level of damages produced by ECB larvae were not significantly correlated to A. flavus infestation and AFL contamination. Taking together, these findings demonstrated that AFL contamination of corn in Northern Italy was variable, but above the EU limit for human consumption. First proposed in the USA, this study showed the practical possibility of this formulation to be use for reducing AFL contamination in corn in the EU.

Structure-property relations in polymers from renewable resources

The present research project focuses its attention on the study of structure-property relations in polymers from renewable sources (bio-based polymers) such as polymers microbially produced, i.e. polyhydrohyalkanoates (PHAs) or chemically synthesized using monomers from renewable sources, i.e. polyammide 11 (PA11). By means of a broad spectrum of experimental techniques, the influence of different modifications on bio-based polymers such as blending with other components, copolymerization with different co-monomers and introduction of branching to yield complex architectures have been investigated. The present work on PHAs focused on the study of the dependence of polymer properties on both the fermentation process conditions (e.g. bacterial strain and carbon substrate used) and the method adopted to recover PHAs from cells. Furthermore, a solvent-free method using an enzyme and chemicals in an aqueous medium, was developed in order to recover PHAs from cells. Such a method allowed to recover PHA granules in their amorphous state, i.e. in native form useful for specific applications (e.g. paper coating). In addition, a commercial PHA was used as polymeric matrix to develop biodegradable and bio-based composites for food packaging applications. Biodegradable, non-toxic, food contact plasticizers and low cost, widely available lignocellulosic fibers (wheat straw fibers) were incorporated in such a polymeric matrix, in order to decrease PHA brittleness and the polymer cost, respectively. As concerns the study of polyamide 11, both the rheological and the solid-state behavior of PA11 star samples with different arm number and length was studied. Introduction of arms in a polymer molecule allows to modulate melt viscosity behavior which is advantageous for industrial applications. Also, several important solid-state properties, in particular mechanical properties, are affected by the presence of branching. Given the importance of using ‘green’ synthetic strategies in polymer chemistry, novel poly(-amino esters), synthesized via enzymatic-catalyzed polymerization, have also been investigated in this work.

Molecular characterization of human CD4+ IL-10-producing regulatory cells

Previous studies in the group led to the identification of CD4+FOXP3- cells with regulatory functions in human blood that coproduce IL-10 and IFN-gamma. These cells do not belong to the Treg cell lineage since they are Foxp3- but they show some similarities with Th1 cells since they express CCR5, T-bet and produce high levels of IFN-gamma. Thus, they share relevant characteristics with both T regulatory type I cells (Tr1) and Th1 cells and we called them Th1-10 cells. In this study we presented a molecular characterization of Th1-10 cells that includes a gene expression and a microRNA profiling and performed functional studies to assess Th1-10 cells regulatory properties. We demonstrated that Th1-10 cells have a high regulatory potential being able to block the proliferation of activated CD4 naïve T cells to a similar extent as conventional Treg cells, and that this suppression capacity is at least partially mediated by secreted IL10. We showed also that Th1-10 cells are closely related to Th1 effector memory cells and express genes involved in cytotoxicity. In particular, they express the transcription factor EOMES and the cytotoxic effector molecules GZMA and GZMK, and they release cytotoxic granules upon stimulation. Moreover, we found that Eomes regulates cytotoxic functions in CD4+ T cells. We demonstrated that miR-92a, selectively downregulated in Th1-10 cells, directly targets the 3’UTR of EOMES.and this finding identifies miR-92a as a possible mediator of Th1-10 cytotoxicity. Th1-10 cells retain some proliferative capacity when sorted ex vivo and activated in vitro via their TCR, and this effect is markedly enhanced by IL-15, which also had a pro-survival effect on Th-10 cells. Thus, in contrast to conventional cytotoxic T cells, Th1-10 cells have cytotoxic and regulatory functions and are not terminally differentiated, since they retain proliferative capacity.

Data-stream driven Fuzzy-granular approaches for system maintenance

Intelligent systems are currently inherent to the society, supporting a synergistic human-machine collaboration. Beyond economical and climate factors, energy consumption is strongly affected by the performance of computing systems. The quality of software functioning may invalidate any improvement attempt. In addition, data-driven machine learning algorithms are the basis for human-centered applications, being their interpretability one of the most important features of computational systems. Software maintenance is a critical discipline to support automatic and life-long system operation. As most software registers its inner events by means of logs, log analysis is an approach to keep system operation. Logs are characterized as Big data assembled in large-flow streams, being unstructured, heterogeneous, imprecise, and uncertain. This thesis addresses fuzzy and neuro-granular methods to provide maintenance solutions applied to anomaly detection (AD) and log parsing (LP), dealing with data uncertainty, identifying ideal time periods for detailed software analyses. LP provides deeper semantics interpretation of the anomalous occurrences. The solutions evolve over time and are general-purpose, being highly applicable, scalable, and maintainable. Granular classification models, namely, Fuzzy set-Based evolving Model (FBeM), evolving Granular Neural Network (eGNN), and evolving Gaussian Fuzzy Classifier (eGFC), are compared considering the AD problem. The evolving Log Parsing (eLP) method is proposed to approach the automatic parsing applied to system logs. All the methods perform recursive mechanisms to create, update, merge, and delete information granules according with the data behavior. For the first time in the evolving intelligent systems literature, the proposed method, eLP, is able to process streams of words and sentences. Essentially, regarding to AD accuracy, FBeM achieved (85.64+-3.69)%; eGNN reached (96.17+-0.78)%; eGFC obtained (92.48+-1.21)%; and eLP reached (96.05+-1.04)%. Besides being competitive, eLP particularly generates a log grammar, and presents a higher level of model interpretability.

Genes involved in germline regulative pathways in metazoa: an integrative approach to investigate a key feature of animal biology

In Metazoa, the germline represents the cell lineage devoted to transmission of genetic heredity across generations. Its functions intuitively evoke the crucial roles that it plays in the development of a new organism and in the evolution of the species. Germline establishment is tightly tied to animal multicellularity itself, in which the complex differentiation of cell lineages is favoured by the confinement of totipotency in specific cell populations. In the present thesis, I addressed the subject of germline characterization in animals through different approaches, in an attempt to cover different sides and scales. First, I investigated the extent and nature of shared differentially transcribed molecular factors in 10 different species germline-related lineages. I observed that newly evolved genes are less likely to be involved in germline-related mechanisms and that the mostly shared transcriptional signal across the species considered was the upregulation of genes associated to proper DNA replication, instead of the expected transcriptional and post-transcriptional regulation, that apparently have a higher level of lineage-specificity. I then focused on the evolutionary history of Tudor domain containing proteins, a gene family that underwent germline-associated expansions in animals. Using data from 24 holozoan phyla, I could confirm the previously proposed evolution of the Tudor domain secondary structure. Also, I associated lineage-specific family reductions and expansions to peculiar genomic dynamics and to the evolution of germline-associated piRNA pathway of retrotransposon silencing. Lastly, I characterized and investigated the expression of the Tudor protein TDRD7 in the clam Ruditapes philippinarum. Through immunolocalization, I could compare its expression profiles in gametogenic specimens to the previously characterized germline marker vasa. Combining results with literature, I proposed that, in this species, TDRD7 is involved in the assembly of germ granules, i.e. cytoplasmic structures associated to germline differentiation in virtually all animals, but whose assemblers can be taxon specific.