17 research outputs found

    Rapporto 2007 su consumo e dipendenze da sostanze in Emilia-Romagna.

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    Report on the state of legal and illegal substances use in the territory of Emilia-Romagna Region.Il report analizza il fenomeno delle dipendenze nel territorio della Regione Emilia-Romagna. La descrizione del fenomeno si sviluppa intorno all\u27analisi degli indicatori individuati dall\u27Osservatorio Europeo delle Dipendenze di Lisbona (OEDT): 1-uso di sostanze nella popolazione generale (questo indicatore va a rilevare i comportamenti nei confronti di alcol e sostanze psicoattive da parte della popolazione generale); 2-prevalenza d\u27uso problematico delle sostanze psicoattive; 3-domanda di trattamento degli utilizzatori di sostanze; 4-mortalit? degli utilizzatori di sostanze; 5-malattie infettive. Altri due importanti indicatori che si stanno sviluppando, e che vengono qui illustrati, sono l\u27analisi delle Schede di Dimissione Ospedaliera (SDO) e gli indicatori relativi alle conseguenza sociali dell\u27uso di droghe (criminalit? droga correlata). Inoltre sono state applicate diverse metodologie standard di stima sia per quantificare la quota parte sconosciuta di utilizzatori di sostanze che non afferiscono ai servizi, sia per identificarne alcune caratteristiche

    Gain- and Loss-of-Function CFTR Alleles Are Associated with COVID-19 Clinical Outcomes

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    Carriers of single pathogenic variants of the CFTR (cystic fibrosis transmembrane conductance regulator) gene have a higher risk of severe COVID-19 and 14-day death. The machine learning post-Mendelian model pinpointed CFTR as a bidirectional modulator of COVID-19 outcomes. Here, we demonstrate that the rare complex allele [G576V;R668C] is associated with a milder disease via a gain-of-function mechanism. Conversely, CFTR ultra-rare alleles with reduced function are associated with disease severity either alone (dominant disorder) or with another hypomorphic allele in the second chromosome (recessive disorder) with a global residual CFTR activity between 50 to 91%. Furthermore, we characterized novel CFTR complex alleles, including [A238V;F508del], [R74W;D1270N;V201M], [I1027T;F508del], [I506V;D1168G], and simple alleles, including R347C, F1052V, Y625N, I328V, K68E, A309D, A252T, G542*, V562I, R1066H, I506V, I807M, which lead to a reduced CFTR function and thus, to more severe COVID-19. In conclusion, CFTR genetic analysis is an important tool in identifying patients at risk of severe COVID-19

    A genome-wide association study for survival from a multi-centre European study identified variants associated with COVID-19 risk of death

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    : The clinical manifestations of SARS-CoV-2 infection vary widely among patients, from asymptomatic to life-threatening. Host genetics is one of the factors that contributes to this variability as previously reported by the COVID-19 Host Genetics Initiative (HGI), which identified sixteen loci associated with COVID-19 severity. Herein, we investigated the genetic determinants of COVID-19 mortality, by performing a case-only genome-wide survival analysis, 60 days after infection, of 3904 COVID-19 patients from the GEN-COVID and other European series (EGAS00001005304 study of the COVID-19 HGI). Using imputed genotype data, we carried out a survival analysis using the Cox model adjusted for age, age2, sex, series, time of infection, and the first ten principal components. We observed a genome-wide significant (P-value < 5.0 × 10-8) association of the rs117011822 variant, on chromosome 11, of rs7208524 on chromosome 17, approaching the genome-wide threshold (P-value = 5.19 × 10-8). A total of 113 variants were associated with survival at P-value < 1.0 × 10-5 and most of them regulated the expression of genes involved in immune response (e.g., CD300 and KLR genes), or in lung repair and function (e.g., FGF19 and CDH13). Overall, our results suggest that germline variants may modulate COVID-19 risk of death, possibly through the regulation of gene expression in immune response and lung function pathways

    Host genetics and COVID-19 severity: increasing the accuracy of latest severity scores by Boolean quantum features

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    The impact of common and rare variants in COVID-19 host genetics has been widely studied. In particular, in Fallerini et al. (Human genetics, 2022, 141, 147–173), common and rare variants were used to define an interpretable machine learning model for predicting COVID-19 severity. First, variants were converted into sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. After that, the Boolean features, selected by these logistic models, were combined into an Integrated PolyGenic Score (IPGS), which offers a very simple description of the contribution of host genetics in COVID-19 severity.. IPGS leads to an accuracy of 55%–60% on different cohorts, and, after a logistic regression with both IPGS and age as inputs, it leads to an accuracy of 75%. The goal of this paper is to improve the previous results, using not only the most informative Boolean features with respect to the genetic bases of severity but also the information on host organs involved in the disease. In this study, we generalize the IPGS adding a statistical weight for each organ, through the transformation of Boolean features into “Boolean quantum features,” inspired by quantum mechanics. The organ coefficients were set via the application of the genetic algorithm PyGAD, and, after that, we defined two new integrated polygenic scores (IPGSph1 and IPGSph2). By applying a logistic regression with both IPGS, (IPGSph2 (or indifferently IPGSph1) and age as inputs, we reached an accuracy of 84%–86%, thus improving the results previously shown in Fallerini et al. (Human genetics, 2022, 141, 147–173) by a factor of 10%

    Gender difference and mortality in a cohort of heroin users in the Provinces of Modena and Ferrara, 1975-1999

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    Gender and socioeconomic conditions are important determinants of mortality among heroin users. The increase in deaths from heroin overdose in subjects enrolled in the recent years requires particular attentio

    Synthesis, characterization, crystallographic analysis, antifungal and genotoxic properties of some 1-methyl-1H-imidazoles

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    A number of 1-methyl-1H-imidazole derivatives and some of their oxygenated products were synthesized. An HPTLC technique for following the oxidation reactions in the different experimental conditions used was applied. The X-ray crystal structures of 1-methyl-2-methylsulfanyl-5-nitro-1H-imidazole, 2-methanesulfinyl-1-methyl-5-nitro-1H-imidazole and 2-methanesulfonyl-1-methyl-5-nitro-1H-imidazole were determined. The compounds obtained were investigated for antimycotic and genotoxic activities. The compounds tested were found to exert very low growth inhibition against yeasts and moulds. Moderate antifungal properties against dermatophytes were demonstrated for 5-nitro derivatives. 2-Methanesulfonyl-1-methyl-5-nitro-1H-imidazole was the most active substance. All 5-nitroimidazoles were genotoxic in Bacillus subtilis rec-assay, Salmonella microsome test and in Saccharomyces cerevisiae mitotic segregation assay. Structure-activity relationships are discusse

    Alpha-1-adrenoceptor mediated formation of glycerophosphoinositol 4-phosphate in rat heart: possible role in the positive inotropic response

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    In the present study, we investigated whether phospholipase A2 (PLA2)/lysophospholipase activity producing glycerophosphoinositols from phosphoinositides was operating in rat heart and could be stimulated by alpha1-adrenergic agonists. PLA2/lysophospholipase activity was found in homogenates from rat right ventricles. The stimulation of PLA2/lysophospholipase activity by noradrenaline (NA) was prevented either by the alpha1-adrenergic antagonist prazosin or arachidonyl trifluoromethyl ketone, a selective inhibitor of the 85-110 kDa, sn-2-arachidonyl-specific cytosolic PLA2. The selective alpha1-adrenergic agonist phenylephrine induced a concentration- and time-dependent increase in glycerophosphoinositol (GroPIns) and glycerophosphoinositol 4-phosphate (GroPIns4P) in rat right ventricle slices prelabelled with D-myo-[3H]inositol. In electrically driven strips of rat right ventricles, prelabelled with D-myo-[3H]inositol, the positive inotropic effect induced by 20 microM NA in the presence of propranolol was accompanied by the formation of GroPIns and GroPIns4P. The concentration of the formed GroPIns4P (1.33+/-0.12 microM, N = 6) was similar to that previously reported to inhibit the Na+/Ca2+ exchanger in cardiac sarcolemmal vesicles (Luciani S, Antolini M, Bova S, Cargnelli G, Cusinato F, Debetto P, Trevisi L and Varotto R, Biochem Biophys Res Commun 206: 674-680, 1995). These findings show that the stimulation of alpha1-adrenoceptors in rat heart is followed by an increase in the formation of GroPIns4P, which may contribute to the positive inotropic effect of alpha1-adrenergic agonists by inhibition of the Na+/Ca2+ exchanger
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