Hypertension, hypercholesterolemia, hyperaldosteronism: a genetic perspective for personalized therapy.

Essential, primary, or idiopathic hypertension is defined as high BP in which secondary causes such as renovascular disease, renal failure, pheochromocytoma, hyperaldosteronism, or other causes of secondary hypertension are not present. Essential hypertension accounts for 80-90% of all cases of hypertension; it is a heterogeneous disorder, with different patients having different causal factors that may lead to high BP. Life-style, diet, race, physical activity, smoke, cultural level, environmental factors, age, sex and genetic characteristics play a key role in the increasing risk. Conversely to the essential hypertension, secondary hypertension is often associated with the presence of other pathological conditions such as dyslipidaemia, hypercholesterolemia, diabetes mellitus, obesity and primary aldosteronism. Amongst them, primary aldosteronism represents one of the most common cause of secondary hypertension, with a prevalence of 5-15% depending on the severity of blood pressure. Besides high blood pressure values, a principal feature of primary aldosteronism is the hypersecretion of mineralcorticoid hormone, aldosterone, in a manner that is fairly autonomous of the renin-angiotensin system. Primary aldosteronism is a heterogeneous pathology that may be divided essentially in two groups, idiopathic and familial form. Despite all this knowledge, there are so many hypertensive cases that cannot be explained. These individuals apparently seem to be healthy, but they have a great risk to develop CVD. The lack of known risk factors makes difficult their classification in a scale of risk. Over the last three decades a good help has been given by the pharmacogenetics/pharmacogenomics, a new area of the traditional pharmacology that try to explain and find correlations between genetic variation, (rare variations, SNPs, mutations), and the risk to develop a particular disease.

Seizure prediction and control in epilepsy

The first part of my thesis presents an overview of the different approaches used in the past two decades in the attempt to forecast epileptic seizure on the basis of intracranial and scalp EEG. Past research could reveal some value of linear and nonlinear algorithms to detect EEG features changing over different phases of the epileptic cycle. However, their exact value for seizure prediction, in terms of sensitivity and specificity, is still discussed and has to be evaluated. In particular, the monitored EEG features may fluctuate with the vigilance state and lead to false alarms. Recently, such a dependency on vigilance states has been reported for some seizure prediction methods, suggesting a reduced reliability. An additional factor limiting application and validation of most seizure-prediction techniques is their computational load. For the first time, the reliability of permutation entropy [PE] was verified in seizure prediction on scalp EEG data, contemporarily controlling for its dependency on different vigilance states. PE was recently introduced as an extremely fast and robust complexity measure for chaotic time series and thus suitable for online application even in portable systems. The capability of PE to distinguish between preictal and interictal state has been demonstrated using Receiver Operating Characteristics (ROC) analysis. Correlation analysis was used to assess dependency of PE on vigilance states. Scalp EEG-Data from two right temporal epileptic lobe (RTLE) patients and from one patient with right frontal lobe epilepsy were analysed. The last patient was included only in the correlation analysis, since no datasets including seizures have been available for him. The ROC analysis showed a good separability of interictal and preictal phases for both RTLE patients, suggesting that PE could be sensitive to EEG modifications, not visible on visual inspection, that might occur well in advance respect to the EEG and clinical onset of seizures. However, the simultaneous assessment of the changes in vigilance showed that: a) all seizures occurred in association with the transition of vigilance states; b) PE was sensitive in detecting different vigilance states, independently of seizure occurrences. Due to the limitations of the datasets, these results cannot rule out the capability of PE to detect preictal states. However, the good separability between pre- and interictal phases might depend exclusively on the coincidence of epileptic seizure onset with a transition from a state of low vigilance to a state of increased vigilance. The finding of a dependency of PE on vigilance state is an original finding, not reported in literature, and suggesting the possibility to classify vigilance states by means of PE in an authomatic and objectic way. The second part of my thesis provides the description of a novel behavioral task based on motor imagery skills, firstly introduced (Bruzzo et al. 2007), in order to study mental simulation of biological and non-biological movement in paranoid schizophrenics (PS). Immediately after the presentation of a real movement, participants had to imagine or re-enact the very same movement. By key release and key press respectively, participants had to indicate when they started and ended the mental simulation or the re-enactment, making it feasible to measure the duration of the simulated or re-enacted movements. The proportional error between duration of the re-enacted/simulated movement and the template movement were compared between different conditions, as well as between PS and healthy subjects. Results revealed a double dissociation between the mechanisms of mental simulation involved in biological and non-biologial movement simulation. While for PS were found large errors for simulation of biological movements, while being more acurate than healthy subjects during simulation of non-biological movements. Healthy subjects showed the opposite relationship, making errors during simulation of non-biological movements, but being most accurate during simulation of non-biological movements. However, the good timing precision during re-enactment of the movements in all conditions and in both groups of participants suggests that perception, memory and attention, as well as motor control processes were not affected. Based upon a long history of literature reporting the existence of psychotic episodes in epileptic patients, a longitudinal study, using a slightly modified behavioral paradigm, was carried out with two RTLE patients, one patient with idiopathic generalized epilepsy and one patient with extratemporal lobe epilepsy. Results provide strong evidence for a possibility to predict upcoming seizures in RTLE patients behaviorally. In the last part of the thesis it has been validated a behavioural strategy based on neurobiofeedback training, to voluntarily control seizures and to reduce there frequency. Three epileptic patients were included in this study. The biofeedback was based on monitoring of slow cortical potentials (SCPs) extracted online from scalp EEG. Patients were trained to produce positive shifts of SCPs. After a training phase patients were monitored for 6 months in order to validate the ability of the learned strategy to reduce seizure frequency. Two of the three refractory epileptic patients recruited for this study showed improvements in self-management and reduction of ictal episodes, even six months after the last training session.

Portal hypertension: a comparison between portal-venous pressure measurement and ARFI measurement of liver and spleen stiffness

PURPOSE. Portal pressure is measured invasively as Hepatic Venous Pressure Gradient (HVPG) in the angiography room. Liver stiffness measured by Fibroscan was shown to correlate with HVPG values below 12 mmHg. This is not surprising, since in cirrhosis the increase of portal pressure is not directly linked with liver fibrosis and consequently to liver stiffness. We hypothesized that, given the spleen’s privileged location upstream to the whole portal system, splenic stiffness could provide relevant information about portal pressure. Aim of the study was to assess the relationship between liver and spleen stiffness measured by Virtual Touch™ (ARFI) and HVPG in cirrhotic patients. METHODS. 40 consecutive patients (30 males, mean age 62y, mean BMI=26, mean Child-Pugh A6, mean platelet count=92.000/mmc, 19 HCV+, 7 with ascites) underwent to ARFI stiffness measurement (10 valid measurements in right liver lobe both surface and centre, left lobe and 20 in the spleen) and HPVG, blindly to each other. Median ARFI values of 10 samplings on every liver area and of 20 samplings on spleen were calculated. RESULTS. Stiffness could be easily measured in all patients with ARFI, resulting a mean of 2,61±0,76, 2,5±0,62 and 2,55±0,66 m/sec in the liver areas and 3.3±0,5 m/s in the spleen. Median HPVG was 14 mmHg (range 5-27); 28 patients showed values ≥10 mmHg. A positive significant correlation was found between spleen stiffness and HPVG values (r=0.744, p<0.001). No significant correlation was found between all liver stiffness and HVPG (p>0,05). AUROC was calculated to test spleen stiffness ability in discriminating patients with HVPG ≥10. AUROC = 0.911 was obtained, with sensitivity of 69% and specificity of 91% at a cut-off of 3.26 m/s. CONCLUSION. Spleen stiffness measurement with ARFI correlates with HVPG in patients with cirrhosis, with a potential of identifying patients with clinically significant portal hypertension.

Development of strategies for vascular damage repair in Pulmonary Arterial Hypertension

Pulmonary arterial hypertension (PAH) is a progressive and rare disease with so far unclear pathogenesis, limited treatment options and poor prognosis. Unbalance of proliferation and migration in pulmonary arterial smooth muscle cells (PASMCs) is an important hallmark of PAH. In this research Sodium butyrate (BU) has been evaluated in vitro and in vivo models of PAH. This histone deacetylase inhibitor (HDACi) counteracted platelet-derived growth factor (PDGF)-induced ki67 expression in PASMCs, and arrested cell cycle mainly at G0/G1 phases. Furthermore, BU reduced the transcription of PDGFRbeta, and that of Ednra and Ednrb, two major receptors in PAH progression. Wound healing and pulmonary artery ring assays indicated that BU inhibited PDGF-induced PASMC migration. BU strongly inhibited PDGF-induced Akt phosphorylation, an effect reversed by the phosphatase inhibitor calyculinA. In vivo, BU showed efficacy in monocrotaline-induced PAH in rats. Indeed, the HDACi reduced both thickness of distal pulmonary arteries and right ventricular hypertrophy. Besides these studies, Serial Analysis of Gene Expression (SAGE) has be used to obtain complete transcriptional profiles of peripheral blood mononuclear cells (PBMCs) isolated from PAH and Healthy subjects. SAGE allows quantitative analysis of thousands transcripts, relying on the principle that a short oligonucleotide (tag) can uniquely identify mRNA transcripts. Tag frequency reflects transcript abundance. We enrolled patients naïve for a specific PAH therapy (4 IPAH non-responder, 3 IPAH responder, 6 HeritablePAH), and 8 healthy subjects. Comparative analysis revealed that significant differential expression was only restricted to a hundred of down- or up-regulated genes. Interestingly, these genes can be clustered into functional networks, sharing a number of crucial features in cellular homeostasis and signaling. SAGE can provide affordable analysis of genes amenable for molecular dissection of PAH using PBMCs as a sentinel, surrogate tissue. Altogether, these findings may disclose novel perspectives in the use of HDACi in PAH and potential biomarkers.