Studio degli effetti funzionali e tossici di derivati di Brassicaceae in modelli sperimentali

I vegetali appartenenti alla famiglia delle Brassicaceae, sono ricchi di molecole biologicamente attive note per le numerose proprietà salutari. L’effetto di un estratto di germogli di cavolo nero toscano (TBCSE) è stato investigato, in termini chemiopreventivi, sugli enzimi epatici del metabolismo degli xenobiotici e antiossidanti, in ratti trattati con TBCSE. I risultati hanno mostrato un complesso pattern di modulazione, con una prevalente inibizione, del sistema citocromo P450-dipendente, e induzioni significative degli enzimi di fase II (glutatione transferasi e glucuronosiltransferasi) e antiossidanti (catalasi, NAD(P)H:chinone reduttasi, glutatione reduttasi e perossidasi). Successivamente, l’effetto di TBCSE è stato studiato nei confronti delle alterazioni provocate da un’alimentazione iperlipidica nel ratto. Il trattamento si è dimostrato efficace nel contrastare gli effetti deleteri dei grassi presenti nella dieta, come l’iperlipidemia, l’aumento del peso corporeo e del fegato, l’indebolimento delle attività degli enzimi antiossidanti e del potenziale detossificante a livello epatico. Complessivamente, TBCSE emerge essere un promettente prodotto nutraceutico con potenziali effetti chemiopreventivi, e da impiegare come strategia alimentare per contrastare gli effetti correlati ad una dieta iperlipidica. Il consumo di dosi sovralimentari di molecole isolate dalle Brassicaceae, tramite per esempio integratori dietetici, come strategia alimentare preventiva, potrebbe tuttavia rappresentare un rischio per la salute. La potenziale tossicità del sulforafane, glucorafanina, indolo-3-carbinolo, e 3,3'-diindolimetano, è stata valutata in epatociti primari di ratto. La citotossicità e l’induzione di stress ossidativo, osservate a concentrazioni non lontane da quelle che potrebbero essere raggiunte in vivo, insieme ad una forte modulazione dell’espressione genica, riguardante principalmente il metabolismo degli xenobiotici, risposte ad alterazioni dello stato ossidoredutivo, eventi di riparazione del DNA e di proteine, induzione dell’apoptosi, e meccanismi (co)cancerogeni, sottolineano la potenzialità di queste molecole di determinare un rischio tossicologico, in seguito ad un’assunzione prolungata e ad alte dosi.

Mass spectrometry-based protein profiling strategies for biomarker discovery in liver and inflammatory bowel diseases

The study of protein expression profiles for biomarker discovery in serum and in mammalian cell populations needs the continuous improvement and combination of proteins/peptides separation techniques, mass spectrometry, statistical and bioinformatic approaches. In this thesis work two different mass spectrometry-based protein profiling strategies have been developed and applied to liver and inflammatory bowel diseases (IBDs) for the discovery of new biomarkers. The first of them, based on bulk solid-phase extraction combined with matrix-assisted laser desorption/ionization - Time of Flight mass spectrometry (MALDI-TOF MS) and chemometric analysis of serum samples, was applied to the study of serum protein expression profiles both in IBDs (Crohn’s disease and ulcerative colitis) and in liver diseases (cirrhosis, hepatocellular carcinoma, viral hepatitis). The approach allowed the enrichment of serum proteins/peptides due to the high interaction surface between analytes and solid phase and the high recovery due to the elution step performed directly on the MALDI-target plate. Furthermore the use of chemometric algorithm for the selection of the variables with higher discriminant power permitted to evaluate patterns of 20-30 proteins involved in the differentiation and classification of serum samples from healthy donors and diseased patients. These proteins profiles permit to discriminate among the pathologies with an optimum classification and prediction abilities. In particular in the study of inflammatory bowel diseases, after the analysis using C18 of 129 serum samples from healthy donors and Crohn’s disease, ulcerative colitis and inflammatory controls patients, a 90.7% of classification ability and a 72.9% prediction ability were obtained. In the study of liver diseases (hepatocellular carcinoma, viral hepatitis and cirrhosis) a 80.6% of prediction ability was achieved using IDA-Cu(II) as extraction procedure. The identification of the selected proteins by MALDITOF/ TOF MS analysis or by their selective enrichment followed by enzymatic digestion and MS/MS analysis may give useful information in order to identify new biomarkers involved in the diseases. The second mass spectrometry-based protein profiling strategy developed was based on a label-free liquid chromatography electrospray ionization quadrupole - time of flight differential analysis approach (LC ESI-QTOF MS), combined with targeted MS/MS analysis of only identified differences. The strategy was used for biomarker discovery in IBDs, and in particular of Crohn’s disease. The enriched serum peptidome and the subcellular fractions of intestinal epithelial cells (IECs) from healthy donors and Crohn’s disease patients were analysed. The combining of the low molecular weight serum proteins enrichment step and the LCMS approach allowed to evaluate a pattern of peptides derived from specific exoprotease activity in the coagulation and complement activation pathways. Among these peptides, particularly interesting was the discovery of clusters of peptides from fibrinopeptide A, Apolipoprotein E and A4, and complement C3 and C4. Further studies need to be performed to evaluate the specificity of these clusters and validate the results, in order to develop a rapid serum diagnostic test. The analysis by label-free LC ESI-QTOF MS differential analysis of the subcellular fractions of IECs from Crohn’s disease patients and healthy donors permitted to find many proteins that could be involved in the inflammation process. Among them heat shock protein 70, tryptase alpha-1 precursor and proteins whose upregulation can be explained by the increased activity of IECs in Crohn’s disease were identified. Follow-up studies for the validation of the results and the in-depth investigation of the inflammation pathways involved in the disease will be performed. Both the developed mass spectrometry-based protein profiling strategies have been proved to be useful tools for the discovery of disease biomarkers that need to be validated in further studies.

CT perfusion image processing: analysis of liver tumors

Perfusion CT imaging of the liver has potential to improve evaluation of tumour angiogenesis. Quantitative parameters can be obtained applying mathematical models to Time Attenuation Curve (TAC). However, there are still some difficulties for an accurate quantification of perfusion parameters due, for example, to algorithms employed, to mathematical model, to patient’s weight and cardiac output and to the acquisition system. In this thesis, new parameters and alternative methodologies about liver perfusion CT are presented in order to investigate the cause of variability of this technique. Firstly analysis were made to assess the variability related to the mathematical model used to compute arterial Blood Flow (BFa) values. Results were obtained implementing algorithms based on “ maximum slope method” and “Dual input one compartment model” . Statistical analysis on simulated data demonstrated that the two methods are not interchangeable. Anyway slope method is always applicable in clinical context. Then variability related to TAC processing in the application of slope method is analyzed. Results compared with manual selection allow to identify the best automatic algorithm to compute BFa. The consistency of a Standardized Perfusion Index (SPV) was evaluated and a simplified calibration procedure was proposed. At the end the quantitative value of perfusion map was analyzed. ROI approach and map approach provide related values of BFa and this means that pixel by pixel algorithm give reliable quantitative results. Also in pixel by pixel approach slope method give better results. In conclusion the development of new automatic algorithms for a consistent computation of BFa and the analysis and definition of simplified technique to compute SPV parameter, represent an improvement in the field of liver perfusion CT analysis.