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Mattia Bellan,Cosimo Colletta,Matteo Nazzareno Barbaglia,Livia Salmi,Roberto Clerici,Venkata Ramana Mallela,Luigi Mario Castello,Giuseppe Saglietti,Gian Piero Carnevale Schianca,Rosalba Minisini,Mario 대한당뇨병학회 2019 Diabetes and Metabolism Journal Vol.43 No.5
Background: The prevalence of nonalcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes mellitus (T2DM) ishigh, though its severity is often underestimated. Our aim is to provide an estimate of the prevalence of severe NAFLD in T2DMand identify its major predictors. Methods: T2DM patients (n=328) not previously known to have NAFLD underwent clinical assessment, transient elastographywith measure of liver stiffness (LS) and controlled attenuation parameter (CAP), and genotyping for patatin like phospholipasedomain containing 3 (PNPLA3) and 17β-hydroxysteroid-dehydrogenase type 13 (HSD17B13). Results: Median LS was 6.1 kPa (4.9 to 8.6). More than one-fourth patients had advanced liver disease, defined as LS ≥7.9 kPa(n=94/238, 29%), and had a higher body mass index (BMI) than those with a LS <7.9 kPa. Carriage of the G allele in the PNPLA3gene was associated with higher LS, being 5.9 kPa (4.7 to 7.7) in C/C homozygotes, 6.1 kPa (5.2 to 8.7) in C/G heterozygotes, and6.8 kPa (5.8 to 9.2) in G/G homozygotes (P=0.01). This trend was absent in patients with ≥1 mutated HSD17B13 allele. In a multiplelinear regression model, BMI and PNPLA3 genotype predicted LS, while age, gender, disease duration, and glycosylated hemoglobindid not fit into the model. None of these variables was confirmed to be predictive among carriers of at least one HSD17B13mutated allele. There was no association between CAP and polymorphisms of PNPLA3 or HSD17B13. Conclusion: Advanced NAFLD is common among T2DM patients. LS is predicted by both BMI and PNPLA3 polymorphism,the effect of the latter being modulated by mutated HSD17B13.
Mattia Giuliano,Gabriele Ricchiardi,Alessandro Damin,Mauro Sgroi,Giovanna Nicol,Flavio Parussa 한국자동차공학회 2020 International journal of automotive technology Vol.21 No.2
The main system to reduce engine emissions of gasoline-fueled vehicles is represented by the three-way catalyst (TWC). The main catalyst of this system usually works in extreme conditions which induce a phenomenon called thermal ageing, the major way of catalyst deactivation. Increasingly stringent emissions standards require not only high efficiency in emissions abatement, but also maintaining the performances at high vehicle mileage. Automotive manufacturers need to accelerate testing methods and that should be representative of the ageing on vehicle, at the minimum expense in terms or time and cost. In order to develop and validate such methods, a deep understanding of all the microscopic processes associated with ageing is necessary. In this work we discuss a methodology for the study of the static thermal ageing of a commercial TWC. A specific washcoat extraction method was developed, and the separated washcoat was analyzed using XRD, TEM microscopy, Raman Spectroscopy and BET. These techniques allow to follow the main morphological and chemical changes in the sample: the loss of porosity, the evolution of crystalline phases and metal particles sintering and oxidation. The potential of Raman spectroscopy for the spatially resolved analysis of ageing is also highlighted. The results allowed to understand the process that involve the washcoat at high temperature.
Mattia Massone,Fabrizio Gabrielli,Andrei Rineiski 한국원자력학회 2017 Nuclear Engineering and Technology Vol.49 No.6
The multigroup transport theory is the basis for many neutronics modules. A significant point of the cross-section (XS) generation procedure is the choice of the energy groups' boundaries in the XS libraries, which must be carefully selected as an unsuitable energy meshing can easily lead to inaccurate results. This decision can require considerable effort and is particularly difficult for the common user, especially if not well-versed in reactor physics. This work investigates a genetic algorithm-based tool which selects an appropriate XS energy structure (ES) specific for the considered problem, to be used for the condensation of a fine multigroup library. The procedure is accelerated by results storage and fitness calculation speedup and can be easily parallelized. The extension is applied to the coupled code SIMMER and tested on the European Sustainable Nuclear Industrial Initiative (ESNII+) Advanced Sodium Technological Reactor for Industrial Demonstration (ASTRID)-like reactor system with different fitness functions. The results show that, when the libraries are condensed based on the ESs suggested by the algorithm, the code actually returns the correct multiplication factor, in both reference and voided conditions. The computational effort reduction obtained by using the condensed library rather than the fine one is assessed and is much higher than the time required for the ES search.
Phenotypic and Genomic Characterization of AmpCProducing Klebsiella pneumoniae From Korea
Mattia Palmieri,Stephane Schicklin,Andreu Coello Pelegrin,Sonia Chatellier,Christine Franceschi,Caroline Mirande,박연준,Alex van Belkum 대한진단검사의학회 2018 Annals of Laboratory Medicine Vol.38 No.4
The prevalence of multidrug-resistant gram-negative bacteria has continuously increased over the past few years; bacterial strains producing AmpC β-lactamases and/or extendedspectrum β-lactamases (ESBLs) are of particular concern. We combined high-resolution whole genome sequencing and phenotypic data to elucidate the mechanisms of resistance to cephamycin and β-lactamase in Korean Klebsiella pneumoniae strains, in which no AmpC-encoding genes were detected by PCR. We identified several genes that alone or in combination can potentially explain the resistance phenotype. We showed that different mechanisms could explain the resistance phenotype, emphasizing the limitations of the PCR and the importance of distinguishing closely-related gene variants.
Mattia Marchi,Giacomo Galli,Gianluca Fiore,Andrew Mackinnon,Giorgio Mattei,Fabrizio Starace,Gian M. Galeazzi 대한정신약물학회 2022 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.20 No.3
Objective: We aimed to predict antipsychotic prescription patterns for people with schizophrenia using machine learning (ML) algorithms. Methods: In a cross-sectional design, a sample of community mental health service users (SUs; n = 368) with a primary diagnosis of schizophrenia was randomly selected. Socio-demographic and clinical features, including the number, total dose, and route of administration of the antipsychotic treatment were recorded. Information about the number and the length of psychiatric hospitalization was retrieved. Ordinary Least Square (OLS) regression and ML algorithms (i.e., random forest [RF], supported vector machine, K-nearest neighborhood, and Naïve Bayes) were used to estimate the predictors of total antipsychotic dosage and prescription of antipsychotic polytherapy (APP). Results: The strongest predictor of the total dose was APP. The number of Community Mental Health Centers (CMHC) contacts was the most important predictor of APP and, with APP omitted, of dosage. Treatment with anticholinergics predicted APP, emphasizing the strong correlation between APP and higher antipsychotic dose. RF performed better than OLS regression and the other ML algorithms in predicting both antipsychotic dose (root square mean error = 0.70, R2 = 0.31) and APP (area under the receiving operator curve = 0.66, true positive rate = 0.41, and true negative rate = 0.78). Conclusion: APP is associated with the prescription of higher total doses of antipsychotics. Frequent attenders at CMHCs, and SUs recently hospitalized are often treated with APP and higher doses of antipsychotics. Future prospective studies incorporating standardized clinical assessments for both psychopathological severity and treatment efficacy are needed to confirm these findings.
Mattia Portinari,Gabriele Baldini,Massimo Guidoboni,Alessandro Borghi,Stefano Panareo,Simona Bonazza,Gianlorenzo Dionigi,Paolo Carcoforo 대한외과학회 2018 Annals of Surgical Treatment and Research(ASRT) Vol.95 No.5
Purpose: Sentinel lymph node (SLN) biopsy (SLNB) is widely accepted for staging of melanoma patients. It has been shown that clinico-pathological features such as Breslow thickness, ulceration, age, and sex are better predictors of relapse and survival than SLN status alone. The aims of this study were to evaluate the long-term (10-year) prognostic impact of SLNB and to determine predictive factors associated with SLN metastasis, relapse, and melanoma specific mortality (MSM). Methods: This was a prospective observational study on 289 consecutive patients with primary cutaneous melanoma who underwent SLNB from January 2000 to December 2007, and followed until January 2014, at an Italian academic hospital. Results: SLN was positive in 64 patients (22.1%). The median follow-up was 116 months (79–147 months). Tenyear disease-free survival and melanoma specific survival were poor in patients with positive SLN (58.7% and 66.4%, respectively). Only the increasing Breslow thickness resulted independently associated to an increased risk of SLN metastasis. Cox regression analysis showed that a Breslow thickness >2 mm was an independent predictor of relapse, and male sex and Breslow thickness >2 mm was a predictor of MSM. At 10 years, SLN metastasis was not significantly associated to either relapse or MSM. Conclusion: After the fifth year of follow-up, SLN metastasis is not an independent predictive factor of relapse or mortality which are mainly influenced by the characteristics of the primary tumor and of the patient. Patients with a Breslow thickness >2 mm regardless of the SLN status should be considered at high risk for 10-year relapse and mortality.
Mattia Giuliano,Gabriele Ricchiardi,Maria Carmen Valsania,Flavio Parussa,Giovanna Nicol,Mauro Sgroi 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.1
The increasingly stringent emission limits require high performances also at high mileage, increasing the need for reliable catalysts characterization during their whole useful life. Thermal ageing is the main problem: high temperatures, variable environment and the presence of water lead to a progressive deactivation of the components. Due to the cost of ageing a converter on‐road or on an engine bench, much more rapid laboratory aging methods are now becoming very interesting, rising the problem of the correlation between real and accelerated ageing conditions. In this work a series of identical catalysts aged in different conditions are characterized in order to understand the correlation between the real and accelerated ageing protocols. Applying a wide spectrum of techniques (XRD, SEM, TEM, BET) a complete morphological characterization is performed and interlaced with functional testing, in order to understand the link between the catalysts modification due to thermal effects and their deactivation, and to allow the design of more realistic laboratory ageing protocols. The correlation between real samples, coming from an ageing on an engine, and laboratory ageing is good for the medium-high mileage sample, which results very similar in terms of performance and morphology with the sample aged at hydro-thermal condition. Some differences remain due to the chemical ageing, which was not possible to replicate on the laboratory scale.
A Secreted Tyrosine Kinase Acts in the Extracellular Environment
Bordoli, Mattia R.,Yum, J.,Breitkopf, Susanne B.,Thon, Jonathan N.,Italiano, Joseph E.,Xiao, J.,Worby, C.,Wong, S.K.,Lin, G.,Edenius, M.,Keller, Tracy L.,Asara, John M.,Dixon, Jack E.,Yeo, C.Y.,Whitma Cell Press ; MIT Press 2014 Cell Vol.158 No.5
Although tyrosine phosphorylation of extracellular proteins has been reported to occur extensively in vivo, no secreted protein tyrosine kinase has been identified. As a result, investigation of the potential role of extracellular tyrosine phosphorylation in physiological and pathological tissue regulation has not been possible. Here, we show that VLK, a putative protein kinase previously shown to be essential in embryonic development, is a secreted protein kinase, with preference for tyrosine, that phosphorylates a broad range of secreted and ER-resident substrate proteins. We find that VLK is rapidly and quantitatively secreted from platelets in response to stimuli and can tyrosine phosphorylate coreleased proteins utilizing endogenous as well as exogenous ATP sources. We propose that discovery of VLK activity provides an explanation for the extensive and conserved pattern of extracellular tyrosine phosphophorylation seen in vivo, and extends the importance of regulated tyrosine phosphorylation into the extracellular environment. PaperClip: