Biochemistry in healthy and neoplastic human tissues: metabolic alteration revealed by HR-MAS nuclear magnetic resonance spectroscopy

This thesis is focused on the metabolomic study of human cancer tissues by ex vivo High Resolution-Magic Angle Spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy. This new technique allows for the acquisition of spectra directly on intact tissues (biopsy or surgery), and it has become very important for integrated metabonomics studies. The objective is to identify metabolites that can be used as markers for the discrimination of the different types of cancer, for the grading, and for the assessment of the evolution of the tumour. Furthermore, an attempt to recognize metabolites, that although involved in the metabolism of tumoral tissues in low concentration, can be important modulators of neoplastic proliferation, was performed. In addition, NMR data was integrated with statistical techniques in order to obtain semi-quantitative information about the metabolite markers. In the case of gliomas, the NMR study was correlated with gene expression of neoplastic tissues. Chapter 1 begins with a general description of a new “omics” study, the metabolomics. The study of metabolism can contribute significantly to biomedical research and, ultimately, to clinical medical practice. This rapidly developing discipline involves the study of the metabolome: the total repertoire of small molecules present in cells, tissues, organs, and biological fluids. Metabolomic approaches are becoming increasingly popular in disease diagnosis and will play an important role on improving our understanding of cancer mechanism. Chapter 2 addresses in more detail the basis of NMR Spectroscopy, presenting the new HR-MAS NMR tool, that is gaining importance in the examination of tumour tissues, and in the assessment of tumour grade. Some advanced chemometric methods were used in an attempt to enhance the interpretation and quantitative information of the HR-MAS NMR data are and presented in chapter 3. Chemometric methods seem to have a high potential in the study of human diseases, as it permits the extraction of new and relevant information from spectroscopic data, allowing a better interpretation of the results. Chapter 4 reports results obtained from HR-MAS NMR analyses performed on different brain tumours: medulloblastoma, meningioms and gliomas. The medulloblastoma study is a case report of primitive neuroectodermal tumor (PNET) localised in the cerebellar region by Magnetic Resonance Imaging (MRI) in a 3-year-old child. In vivo single voxel 1H MRS shows high specificity in detecting the main metabolic alterations in the primitive cerebellar lesion; which consist of very high amounts of the choline-containing compounds and of very low levels of creatine derivatives and N-acetylaspartate. Ex vivo HR-MAS NMR, performed at 9.4 Tesla on the neoplastic specimen collected during surgery, allows the unambiguous identification of several metabolites giving a more in-depth evaluation of the metabolic pattern of the lesion. The ex vivo HR-MAS NMR spectra show higher detail than that obtained in vivo. In addition, the spectroscopic data appear to correlate with some morphological features of the medulloblastoma. The present study shows that ex vivo HR-MAS 1H NMR is able to strongly improve the clinical possibility of in vivo MRS and can be used in conjunction with in vivo spectroscopy for clinical purposes. Three histological subtypes of meningiomas (meningothelial, fibrous and oncocytic) were analysed both by in vivo and ex vivo MRS experiments. The ex vivo HR-MAS investigations are very helpful for the assignment of the in vivo resonances of human meningiomas and for the validation of the quantification procedure of in vivo MR spectra. By using one- and two dimensional experiments, several metabolites in different histological subtypes of meningiomas, were identified. The spectroscopic data confirmed the presence of the typical metabolites of these benign neoplasms and, at the same time, that meningomas with different morphological characteristics have different metabolic profiles, particularly regarding macromolecules and lipids. The profile of total choline metabolites (tCho) and the expression of the Kennedy pathway genes in biopsies of human gliomas were also investigated using HR-MAS NMR, and microfluidic genomic cards. 1H HR-MAS spectra, allowed the resolution and relative quantification by LCModel of the resonances from choline (Cho), phosphorylcholine (PC) and glycerolphorylcholine (GPC), the three main components of the combined tCho peak observed in gliomas by in vivo 1H MRS spectroscopy. All glioma biopsies depicted an increase in tCho as calculated from the addition of Cho, PC and GPC HR-MAS resonances. However, the increase was constantly derived from augmented GPC in low grade NMR gliomas or increased PC content in the high grade gliomas, respectively. This circumstance allowed the unambiguous discrimination of high and low grade gliomas by 1H HR-MAS, which could not be achieved by calculating the tCho/Cr ratio commonly used by in vivo 1H MR spectroscopy. The expression of the genes involved in choline metabolism was investigated in the same biopsies. The present findings offer a convenient procedure to classify accurately glioma grade using 1H HR-MAS, providing in addition the genetic background for the alterations of choline metabolism observed in high and low gliomas grade. Chapter 5 reports the study on human gastrointestinal tract (stomach and colon) neoplasms. The human healthy gastric mucosa, and the characteristics of the biochemical profile of human gastric adenocarcinoma in comparison with that of healthy gastric mucosa were analyzed using ex vivo HR-MAS NMR. Healthy human mucosa is mainly characterized by the presence of small metabolites (more than 50 identified) and macromolecules. The adenocarcinoma spectra were dominated by the presence of signals due to triglycerides, that are usually very low in healthy gastric mucosa. The use of spin-echo experiments enable us to detect some metabolites in the unhealthy tissues and to determine their variation with respect to the healthy ones. Then, the ex vivo HR-MAS NMR analysis was applied to human gastric tissue, to obtain information on the molecular steps involved in the gastric carcinogenesis. A microscopic investigation was also carried out in order to identify and locate the lipids in the cellular and extra-cellular environments. Correlation of the morphological changes detected by transmission (TEM) and scanning (SEM) electron microscopy, with the metabolic profile of gastric mucosa in healthy, gastric atrophy autoimmune diseases (AAG), Helicobacter pylori-related gastritis and adenocarcinoma subjects, were obtained. These ultrastructural studies of AAG and gastric adenocarcinoma revealed lipid intra- and extra-cellularly accumulation associated with a severe prenecrotic hypoxia and mitochondrial degeneration. A deep insight into the metabolic profile of human healthy and neoplastic colon tissues was gained using ex vivo HR-MAS NMR spectroscopy in combination with multivariate methods: Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA). The NMR spectra of healthy tissues highlight different metabolic profiles with respect to those of neoplastic and microscopically normal colon specimens (these last obtained at least 15 cm far from the adenocarcinoma). Furthermore, metabolic variations are detected not only for neoplastic tissues with different histological diagnosis, but also for those classified identical by histological analysis. These findings suggest that the same subclass of colon carcinoma is characterized, at a certain degree, by metabolic heterogeneity. The statistical multivariate approach applied to the NMR data is crucial in order to find metabolic markers of the neoplastic state of colon tissues, and to correctly classify the samples. Significant different levels of choline containing compounds, taurine and myoinositol, were observed. Chapter 6 deals with the metabolic profile of normal and tumoral renal human tissues obtained by ex vivo HR-MAS NMR. The spectra of human normal cortex and medulla show the presence of differently distributed osmolytes as markers of physiological renal condition. The marked decrease or disappearance of these metabolites and the high lipid content (triglycerides and cholesteryl esters) is typical of clear cell renal carcinoma (RCC), while papillary RCC is characterized by the absence of lipids and very high amounts of taurine. This research is a contribution to the biochemical classification of renal neoplastic pathologies, especially for RCCs, which can be evaluated by in vivo MRS for clinical purposes. Moreover, these data help to gain a better knowledge of the molecular processes envolved in the onset of renal carcinogenesis.

Imaging di risonanza magnetica nucleare nello studio del tumore della prostata

Aim of the present study was to evaluate the accuracy of transrectal ultrasound biopsy (TRUS-biopsy) directed to regions with abnormal MRI and/or MRSI (magnetic resonance spectroscopic imaging ) for both the transition (TZ) and the peripheral (PZ) zones in patients who presented with persistent suspect for prostate cancer and with prior negative biopsy. We also evaluated relationship between MRSI results and histopathological findings of biopsy. 54 patients with the aforementioned characteristics underwent MRI/MRSI at least 6 months after prior negative biopsy; interval between MRI/3D-MRSI and the further TRUS-biopsy was less than 3 months. The prostate was divided in 12 regions both for imaging interpretation and biopsy. Moreover one to three cores more were taken from each region with abnormal MRI and/or 3D-MRSI. Twenty-two out of 54 patients presented cancer at MRI/MRSI-directed-TRUS-biopsy. On a patient basis the highest accuracy was obtained by assigning malignancy on a positive finding with MRSI and MRI even though it was not significantly greater than that obtained using MRI alone (area under the ROC curve, AUC: 0.723 vs. 0.676). On a region (n=648) basis the best accuracy was also obtained by considering positive both MRSI and MRI for PZ (0.768) and TZ (0.822). Twenty-eight per cent of cores with prostatitis were false positive findings on MRSI, whereas only 2.7% of benign prostatic hyperplasia was false positive. In conclusion the accuracy of MRI/MRSI-directed biopsies in localization of prostate cancer is good in patient and region analyses. The combination of both MRI and MRSI results makes TRUS-biopsy more accurate particularly in the TZ (0.822) for patients with prior negative biopsies. Histopathological analysis showed that the main limitation of MRSI is the percentage of false positive findings due to prostatitis.

Analysis and modeling techniques for ultrasonic tissue characterization

This thesis introduces new processing techniques for computer-aided interpretation of ultrasound images with the purpose of supporting medical diagnostic. In terms of practical application, the goal of this work is the improvement of current prostate biopsy protocols by providing physicians with a visual map overlaid over ultrasound images marking regions potentially affected by disease. As far as analysis techniques are concerned, the main contributions of this work to the state-of-the-art is the introduction of deconvolution as a pre-processing step in the standard ultrasonic tissue characterization procedure to improve the diagnostic significance of ultrasonic features. This thesis also includes some innovations in ultrasound modeling, in particular the employment of a continuous-time autoregressive moving-average (CARMA) model for ultrasound signals, a new maximum-likelihood CARMA estimator based on exponential splines and the definition of CARMA parameters as new ultrasonic features able to capture scatterers concentration. Finally, concerning the clinical usefulness of the developed techniques, the main contribution of this research is showing, through a study based on medical ground truth, that a reduction in the number of sampled cores in standard prostate biopsy is possible, preserving the same diagnostic power of the current clinical protocol.

Hepatobiliary diseases in small animals: a comparison of ultrasonography and multidetector-row computed tomography

Ultrasonography (US) is an essential imaging tool for identifying abnormalities of the liver parenchyma, biliary tract and vascular system. US has replaced radiography as the initial imaging procedure in screening for liver disease in small animals. There are few reports of the use of conventional and helical computed tomography (CT) to assess canine or feline parenchymal and neoplastic liver disease and biliary disorders. In human medicine the development of multidetector- row helical computed tomography (MDCT), with its superior spatial and temporal resolution, has resulted in improved detection and characterization of diffuse and focal liver lesions. The increased availability of MDCT in veterinary practice provides incentive to develop MDCT protocols for liver imaging in small animals. The purpose of this study is to assess the rule of MDCT in the characterization of hepatobiliary diseases in small animals; and to compare this method with conventional US. Candidates for this prospective study were 175 consecutive patients (dogs and cats) referred for evaluation of hepatobiliary disease. The patients underwent liver US and MDCT. Percutaneous needle biopsy was performed on all liver lesions or alterations encountered. As for gallbladder, histopatological evaluation was obtained from cholecystectomy specimens. Ultrasonographic findings in this study agreed well with those of previous reports. A protocol for dual-phase liver MDCT in small animals has been described. MDCT findings in parenchymal disorders of the liver, hepatic neoplasia and biliary disorders are here first described in dogs and cats and compared with the corresponding features in human medicine. The ability of MDCT in detection and characterization of hepatobiliary diseases in small animals is overall superior to conventional US. Ultrasonography and MDCT scanning, however, play complementary rules in the evaluation of these diseases. Many conditions have distinctive imaging features that may permit diagnosis. In most instances biopsy is required for definitive diagnosis.

Metodi biochimici e biomolecolari applicati alla medicina clinica: rendimento della real-time TaqMan PCR per la valutazione della resistenza alla claritromicina in H.pylori e tests fecali nella diagnorstica del carcinoma colo-rettale: M2PK, calprotectina e FOBT

1) Background: The most common methods to evaluate clarithromycin resistance is the E-Test, but is time consuming. Resistance of Hp to clarithromycin is due to point mutations in the 23S rRNA. Eight different point mutations have been related to CH resistance, but the large majority of the clarithromycin resistance depends on three point mutations (A2142C, A2142G and A2143G). A novel PCR-based clarithromycin resistance assays, even on paraffin-embedded biopsy specimens, have been proposed. Aims: to assess clarithromycin resistance detecting these point mutation (E-Test as a reference method);secondly, to investigate relation with MIC values. Methods: Paraffin-embedded biopsies of patients Hp-positive were retrieved. The A2142C, A2142G and A2143G point mutations were detected by molecular analysis after DNA extraction by using a TaqMan real-time PCR. Results: The study enrolled 86 patients: 46 resistant and 40 sensible to CH. The Hp status was evaluated at endoscopy, by rapid urease test (RUT), histology and hp culture. According to real-time PCR, 37 specimens were susceptible to clarithromycin (wild type dna) whilst the remaining 49 specimens (57%) were resistant. A2143G is the most frequent mutation. A2142C always express a resistant phenotype and A2142G leads to a resitant phenotype only if homozigous. 2) Background: Colonoscopy work-load for endoscopy services is increasing due to colorectal cancer prevention. We tested a combination of faecal tests to improve accuracy and prioritize the access to colonoscopy. Methods: we tested a combination of fecal tests (FOBT, M2-PK and calprotectin) in a group of 280 patients requiring colonoscopy. Results: 47 patients had CRC and 85 had advanced adenoma/s at colonoscopy/histology. In case of single test, for CRC detection FOBT was the test with the highest specificity and PPV, M2-PK had the highest sensitivity and higher NPV. Combination was more interesting in term of PPV. And the best combination of tests was i-FOBT + M2-PK.

Chirurgia dermatologica pediatrica

Le caratteristiche istologiche, immunologiche e fisiologiche della cute in età pediatrica sono responsabili di quadri dermatologici differenti nel bambino rispetto all’adulto, per cui la dermatologia pediatrica sta acquisendo sempre maggiore importanza come branca specifica nell’ambito sia della dermatologia generale che della pediatria. Il problema cruciale che si incontra nel management delle dermatosi pediatriche è legato alle difficoltà diagnostiche incontrate, che comportano spesso la necessità di eseguire una biopsia cutanea. Mentre gli studi epidemiologici relativi alla frequenza delle patologie dermatologiche pediatriche siano ampiamente riportati in letteratura, i dati e le revisioni relative alla chirurgia pediatrica dermatologica, nell’ambito dei servizi di Dermatologia Pediatrica, sono ridotti. Nell’arco dei tre anni di dottorato, la mia attività è stata finalizzata a valutare la possibilità di organizzare un servizio ambulatoriale per i prelievi bioptici in età pediatrica, con il solo ausilio di anestetici topici e locali. Durante i tre anni di Dottorato di Ricerca sono stati eseguiti 296 prelievi. Le biopsie eseguite sono state suddivise in 3 gruppi: biopsie diagnostiche su patologie dermatologiche (108 pz, 36%), biopsie su neoformazioni cutanee (174 pz, 59 %) e biopsie su lesioni follicolari ( 14 pz, 5%). Di ciascun gruppo sono state valutate le patologie riscontrate, l’età, il sesso, l’impiego di anestetico topico associato ad anestetico locale. In 180 (61%) pazienti dopo la biopsia si è proceduto all’applicazione di punti di sutura. Si sono valutati inoltre i vantaggi e gli svantaggi di tale attività ambulatoriale rispetto ai prelievi eseguiti avvalendosi di una sedazione profonda.

Impatto della glomerulopatia cronica da trapianto sulla disfunzione tardiva del rene trapiantato

INTRODUCTION. Late chronic allograft disfunction (CAD) is one of the more concerning issues in the management of patients (pts) with renal transplant (tx). Humoral immune response seems to play an important role in CAD pathogenesis. AIM OF THE STUDY. To identify the causes of late chronic allograft disfunction. METHODS. This study (march 2004-august 2011) enrolled pts who underwent renal biopsy (BR) because of CAD (increase of creatininemia (s-Cr) >30% and/or proteinuria >1g/day at least one year after tx). BR were classified according to 1997/2005 Banff classification. Histological evaluation of C4d (positive if >25%), glomerulitis, tubulitis, intimal arteritis, atrophy/fibrosis and arteriolar-hyalinosis were performed. Ab anti-HLA research at BR was an inclusion criteria. Pts were divided into two groups: with or without transplant glomerulopathy (CTG). RESULTS. Evaluated BR: 93/109. BR indication: impaired s-Cr (52/93), proteinuria (23/93), both (18/93). Time Tx-BR: 7.4±6.3 yrs; s-Cr at BR: 2.7±1.4 mg/dl. CTG group(n=49) not-CTG group(n=44) p Time tx-BR (yrs) 9.3±6.7 5.3±5.2 0.002 Follow-up post-BR (yrs) 2.7±1.8 4.1±1.4 0.0001 s-Cr at BR (mg/dl) 2.9±1.3 2.4±1.5 NS Rate (%) of pts: Proteinuria at BR 61% 25% 0.0004 C4d+ 84% 25% <0.0001 Ab anti-HLA+ 71% 30% 0.0001 C4d+ and/or Ab antiHLA 92% 43% 0.0001 Glomerulitis 76% 16% <0.0001 Tubulitis 6% 32% 0.0014 Intimal arteritis 18% 0% 0.002 Arteriolar hyalinosis 65% 50% NS Atrophy/fibrosis 80% 77% NS Graft survival 45% 86% 0.00005 Histological Diagnosis: CTG group (n=49:Chronic rejection 94%;IgA recurrence + humoral activity 4%;IIA acute rejection + humoral activity 2%. Not-CTG group (n=44: GN recurrence 27%;IF/TA 23%; acute rejection 23%;BKV nephritis 9%; mild not specific alterations 18%. CONCLUSIONS: CTG is the morphological lesion mainly related to CAD. In the 92% of the cases it is associated with markers of immunological activity. It causes graft failure within five years after diagnosis in 55% of pts.

Melanocytes: a new potential tool to study and monitoring Duchenne muscular dystrophy

Dystrophin is a subsarcolemmal protein critical for the integrity of muscle fibers by linking the actin cytoskeleton to the extracellular matrix via the dystroglycan complex. It is reported that dystroglycans are also localized in the skin, at dermal-epidermal junction. Here we show that epidermal melanocytes express dystrophin at the interface with the basement membrane. The full-length muscle isoform mDp427 was clearly detectable in epidermis and in melanocyte cultures as assessed by RNA and western blot analysis. Dystrophin was absent in Duchenne Muscular Dystrophy (DMD) patients melanocytes, and the ultrastructural analysis revealed mitochondrial alterations, similar to those occurring in myoblasts from the same patients. Interestingly, mitochondrial dysfunction of DMD melanocytes reflected the alterations identified in dystrophin-deficient muscle cells. In fact, mitochondria of melanocytes from DMD patients accumulated tetramethylrhodamine methyl ester but, on the contrary of control donor, mitochondria of DMD patients readily depolarized upon the addition of oligomycin, suggesting either that they are maintaining the membrane potential at the expense of glycolytic ATP, or that they are affected by a latent dysfunction unmasked by inhibition of the ATP synthase. Melanocyte cultures can be easily obtained by conventional skin biopsies, less invasive procedure than muscular biopsy, so that they may represent an alternative cellular model to myoblast for studying and monitoring dystrophinopathies also in response to pharmacological treatments.

Efficient ultrasonic signal processing techniques for aided medical diagnostics

Ultrasound imaging is widely used in medical diagnostics as it is the fastest, least invasive, and least expensive imaging modality. However, ultrasound images are intrinsically difficult to be interpreted. In this scenario, Computer Aided Detection (CAD) systems can be used to support physicians during diagnosis providing them a second opinion. This thesis discusses efficient ultrasound processing techniques for computer aided medical diagnostics, focusing on two major topics: (i) Ultrasound Tissue Characterization (UTC), aimed at characterizing and differentiating between healthy and diseased tissue; (ii) Ultrasound Image Segmentation (UIS), aimed at detecting the boundaries of anatomical structures to automatically measure organ dimensions and compute clinically relevant functional indices. Research on UTC produced a CAD tool for Prostate Cancer detection to improve the biopsy protocol. In particular, this thesis contributes with: (i) the development of a robust classification system; (ii) the exploitation of parallel computing on GPU for real-time performance; (iii) the introduction of both an innovative Semi-Supervised Learning algorithm and a novel supervised/semi-supervised learning scheme for CAD system training that improve system performance reducing data collection effort and avoiding collected data wasting. The tool provides physicians a risk map highlighting suspect tissue areas, allowing them to perform a lesion-directed biopsy. Clinical validation demonstrated the system validity as a diagnostic support tool and its effectiveness at reducing the number of biopsy cores requested for an accurate diagnosis. For UIS the research developed a heart disease diagnostic tool based on Real-Time 3D Echocardiography. Thesis contributions to this application are: (i) the development of an automated GPU based level-set segmentation framework for 3D images; (ii) the application of this framework to the myocardium segmentation. Experimental results showed the high efficiency and flexibility of the proposed framework. Its effectiveness as a tool for quantitative analysis of 3D cardiac morphology and function was demonstrated through clinical validation.