Tecniche MonteCarlo per l'analisi di sistemi a rete

The assessment of the RAMS (Reliability, Availability, Maintainability and Safety) performances of system generally includes the evaluations of the “Importance” of its components and/or of the basic parameters of the model through the use of the Importance Measures. The analytical equations proposed in this study allow the estimation of the first order Differential Importance Measure on the basis of the Birnbaum measures of components, under the hypothesis of uniform percentage changes of parameters. The aging phenomena are introduced into the model by assuming exponential-linear or Weibull distributions for the failure probabilities. An algorithm based on a combination of MonteCarlo simulation and Cellular Automata is applied in order to evaluate the performance of a networked system, made up of source nodes, user nodes and directed edges subjected to failure and repair. Importance Sampling techniques are used for the estimation of the first and total order Differential Importance Measures through only one simulation of the system “operational life”. All the output variables are computed contemporaneously on the basis of the same sequence of the involved components, event types (failure or repair) and transition times. The failure/repair probabilities are forced to be the same for all components; the transition times are sampled from the unbiased probability distributions or it can be also forced, for instance, by assuring the occurrence of at least a failure within the system operational life. The algorithm allows considering different types of maintenance actions: corrective maintenance that can be performed either immediately upon the component failure or upon finding that the component has failed for hidden failures that are not detected until an inspection; and preventive maintenance, that can be performed upon a fixed interval. It is possible to use a restoration factor to determine the age of the component after a repair or any other maintenance action.

The impact of polymorphisms in P-gp, DNA repair and folic acid metabolism genes in newly diagnosed multiple myeloma patients treated with thalidomide plus dexamethasone, with or without bortezomib

The principle aim of this study was to investigate biological predictors of response and resistance to multiple myeloma treatment. Two hypothesis had been proposed as responsible of responsiveness: SNPs in DNA repair and Folate pathway, and P-gp dependent efflux. As a first objective, panel of SNPs in DNA repair and Folate pathway genes, were analyzed. It was a retrospective study in a group of 454, previously untreated, MM patients enrolled in a randomized phase III open-label study. Results show that some SNPs in Folate pathway are correlated with response to MM treatment. MTR genotype was associated with favorable response in the overall population of MM patients. However, this relation, disappear after adjustment for treatment response. When poor responder includes very good partial response, partial response and stable/progressive disease MTFHR rs1801131 genotype was associated with poor response to therapy. This relation - unlike in MTR – was still significant after adjustment for treatment response. Identification of this genetic variant in MM patients could be used as an independent prognostic factor for therapeutic outcome in the clinical practice. In the second objective, basic disposition characteristics of bortezomib was investigated. We demonstrated that bortezomib is a P-gp substrate in a bi-directional transport study. We obtain apparent permeability rate values that together with solubility values can have a crucial implication in better understanding of bortezomib pharmacokinetics with respect to the importance of membrane transporters. Subsequently, in view of the importance of P-gp for bortezomib responsiveness a panel of SNPs in ABCB1 gene - coding for P-gp - were analyzed. In particular we analyzed five SNPs, none of them however correlated with treatment responsiveness. However, we found a significant association between ABCB1 variants and cytogenetic abnormalities. In particular, deletion of chromosome 17 and t(4;14) translocation were present in patients harboring rs60023214 and rs2038502 variants respectively.

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.