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135 results on '"Pepe, D."'

1. Transportan in nanocarriers improves skin localization and antitumor activity of paclitaxel

Author

Pepe D, Carvalho VFM, McCall M, de Lemos DP, and Lopes LB

Subjects
microemulsion, nanocarriers, protein transduction domains, paclitaxel, skin, transdermal, Medicine (General), R5-920
Abstract

Dominique Pepe,1 Vanessa FM Carvalho,2 Melissa McCall,1 Débora P de Lemos,2 Luciana B Lopes1,2 1Department of Pharmaceutical Sciences, Albany College of Pharmacy and Health Sciences, Albany, NY, USA; 2Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil Abstract: In this study, the ability of nanocarriers containing protein transduction domains (PTDs) of various classes to improve cutaneous paclitaxel delivery and efficacy in skin tumor models was evaluated. Microemulsions (MEs) were prepared by mixing a surfactant blend (polyoxyethylene 10 oleoyl ether, ethanol and propylene glycol), monocaprylin, and water. The PTD transportan (ME-T), penetratin (ME-P), or TAT (ME-TAT) was added at a concentration of 1 mM to the plain ME. All MEs displayed nanometric size (32.3–40.7 nm) and slight positive zeta potential (+4.1 mV to +6.8 mV). Skin penetration of paclitaxel from the MEs was assessed for 1–12 hours using porcine skin and Franz diffusion cells. Among the PTD-containing formulations, paclitaxel skin (stratum corneum + epidermis and dermis) penetration at 12 hours was maximized with ME-T, whereas ME-TAT provided the lowest penetration (1.6-fold less). This is consistent with the stronger ability of ME-T to increase transepidermal water loss (2.4-fold compared to water) and tissue permeability. The influence of PTD addition on the ME irritation potential was assessed by measuring interleukin-1α expression and viability of bioengineered skin equivalents. A 1.5- to 1.8-fold increase in interleukin-1α expression was induced by ME-T compared to the other formulations, but this effect was less pronounced (5.8-fold) than that mediated by the moderate irritant Triton. Because ME-T maximized paclitaxel cutaneous localization while being safer than Triton, its efficacy was assessed against basal cell carcinoma cells and a bioengineered three-dimensional melanoma model. Paclitaxel-containing ME-T reduced cells and tissue viability by twofold compared to drug solutions, suggesting the potential clinical usefulness of the formulation for the treatment of cutaneous tumors. Keywords: microemulsion, nanocarriers, protein transduction domains, paclitaxel, skin, transdermal

Published
2016

2. A structural equation model to assess the pathways of body adiposity and inflammation status on dysmetabolic biomarkers via red cell distribution width and mean corpuscular volume: A cross-sectional study in overweight and obese subjects

Author

Rondanelli, M, Perna, S, Alalwan, T, Cazzola, R, Gasparri, C, Infantino, V, Perdoni, F, Iannello, G, Pepe, D, Guido, D, Rondanelli M., Perna S., Alalwan T. A., Cazzola R., Gasparri C., Infantino V., Perdoni F., Iannello G., Pepe D., Guido D., Rondanelli, M, Perna, S, Alalwan, T, Cazzola, R, Gasparri, C, Infantino, V, Perdoni, F, Iannello, G, Pepe, D, Guido, D, Rondanelli M., Perna S., Alalwan T. A., Cazzola R., Gasparri C., Infantino V., Perdoni F., Iannello G., Pepe D., and Guido D.

Abstract

Background: A study has been performed in overweight and obese subjects to assess the effects of adiposity and inflammation indicators on dysmetabolic biomarkers via red cell distribution width (RDW) and mean corpuscular volume (MCV), taking into account pro-antioxidant balance. Methods: Data from 166 overweight subjects were analyzed by a path analysis model using structural equation modelling (SEM) to evaluate the direct and indirect pathway effects of adiposity, measured by body mass index (BMI) and waist circumference (WC), and inflammation status, measured by pro-antioxidant balance [reactive oxygen species (ROS)], lag-time and slope and C-reactive protein (CRP) values on dysmetabolic biomarkers, via RDW and MCV. Results: BMI was strongly linked to CRP and ROS levels. Moreover, there was a significant negative decrease of MCV (1.546 femtoliters) linked to BMI indirectly via high CRP levels. Furthermore, WC affected RDW, indicating a possible mediatory role for RDW in relation to the relationship between WC and homeostatic model assessment (HOMA), insulin and high density lipoprotein (HDL), respectively. This was evident by the elevated HOMA and insulin levels and the decreased levels of HDL. Finally, ROS-related markers did not affect directly RDW and MCV. Conclusion: The reported outcomes suggest that RDW might play a mediatory role in the relationship between WC and the dysmetabolic outcomes in overweight and obese individuals. CRP seems to modulate the linkage between BMI and MCV. This study provides the backbone structure for future scenarios and lays the foundation for further research on the role of RDW and MCV as suitable biomarkers for the assessment of cardiovascular disease (HDL-cholesterol), inflammatory bowels and insulin resistance.

Published
2020

3. Comorbidities, cardiovascular therapies, and COVID-19 mortality: A nationwide, italian observational study (ItaliCO)

Author

Polverino, F, Stern, D, Ruocco, G, Balestro, E, Bassetti, M, Candelli, M, Cirillo, B, Contoli, M, Corsico, A, D'Amico, F, D'Elia, E, Falco, G, Gasparini, S, Guerra, S, Harari, S, Kraft, M, Mennella, L, Papi, A, Parrella, R, Pelosi, P, Poletti, V, Polverino, M, Tana, C, Terribile, R, Woods, J, Di Marco, F, Martinez, F, Zhang, S, Geelhoed, B, Sinning, C, Agarossi, A, Agati, S, Agosteo, E, Ando', F, Andreoni, M, Angelillo, I, Arcoleo, G, Arena, C, Baiamonte, P, Ball, L, Banfi, P, Bartoletti, G, Bartolotta, R, Battaglini, D, Bellan, M, Benzoni, I, Bertolini, R, Bevilacqua, M, Bezzi, M, Bianco, A, Bisbano, A, Bobbio, F, Bocchialini, G, Bonetti, F, Boni, F, Bonifazi, M, Borgonovo, G, Borre', S, Bosio, M, Brachini, G, Brunetti, I, Calagna, L, Calo, F, Capuozzo, A, Carr, T, Castellani, A, Catalano, F, Catania, G, Catena, E, Cattaneo, M, Cattelan, A, Ceruti, V, Chiumiento, F, Cicchitto, G, Confalonieri, M, Confalonieri, P, Coppola, N, Cosentina, R, Costantino, R, Crimi, C, Curra, A, D'Abbraccio, M, Dalbeni, A, Daleffe, F, Davide, R, Del Donno, M, Di Pastena, F, Di Perna, F, Di Rosa, Z, Di Sabatino, A, Elesbani, O, Elia, D, Esposito, V, Fabiani, L, Falo, G, Fanelli, C, Fantin, A, Ferrigno, F, Fiorentino, G, Franceschi, F, Fronza, M, Gardenghi, G, Giacobbe, D, Giannotti, C, Giannotti, G, Gidari, A, Giovanardi, F, Gnerre, P, Gonnelli, F, Graziano, M, Greco, S, Grosso, A, Guarino, S, Iannarelli, A, Imitazione, P, Inglese, F, Iodice, V, Izzo, A, La Greca, C, Lax, A, Legittimo, F, Leo, A, Leone, S, Lepidini, V, Leto, M, Licata, F, Locati, F, Lorini, L, Lucchetti, B, Maida, I, Macera, M, Manzillo, E, March, A, Mascheroni, D, Mastroianni, A, Mauro, I, Mazzitelli, M, Mazzuca, E, Micheletto, C, Mingoli, A, Minuz, P, Moioli, M, Monti, L, Morgagni, R, Mucci, L, Muselli, M, Negri, S, Nobile, C, Oldani, S, Olivieri, C, Parati, G, Parodi, L, Pastorelli, E, Patruno, V, Pellegrino, F, Pengo, M, Pepe, D, Perotti, A, Petrino, R, Petrucci, M, Piane, R, Pignataro, G, Pino, M, Pirisi, M, Porru, F, Pugliese, F, Punzi, R, Ramaroli, D, Robba, C, Rostagno, R, Sabatini, U, Sainaghi, P, Salton, F, Salzano, C, Sanduzzi, A, Zamparelli, S, Sangiovanni, V, Santopuoli, D, Sapienza, P, Sarmati, L, Schiaroli, E, Scienza, F, Senni, M, Serchisu, L, Sgherzi, S, Soddu, D, Soranna, D, Sorino, C, Spadaro, S, Stirpe, E, Tardivo, S, Tartaglia, S, Teopompi, E, Tomchaney, M, Torelli, E, Torlasco, C, Torti, C, Tupputi, E, Ugolinelli, C, Vatrella, A, Versace, A, Villani, M, Vincenzo, L, Volta, C, Voraphani, N, Zekaj, E, Zoppellari, R, Polverino F., Stern D. A., Ruocco G., Balestro E., Bassetti M., Candelli M., Cirillo B., Contoli M., Corsico A., D'Amico F., D'Elia E., Falco G., Gasparini S., Guerra S., Harari S., Kraft M., Mennella L., Papi A., Parrella R., Pelosi P., Poletti V., Polverino M., Tana C., Terribile R., Woods J. C., Di Marco F., Martinez F. D., Zhang S., Geelhoed B., Sinning C., Agarossi A., Agati S., Agosteo E., Ando' F., Andreoni M., Angelillo I. F., Arcoleo G., Arena C., Baiamonte P., Ball L., Banfi P., Bartoletti G., Bartolotta R., Battaglini D., Bellan M., Benzoni I., Bertolini R., Bevilacqua M., Bezzi M., Bianco A., Bisbano A., Bobbio F., Bocchialini G., Bonetti F., Boni F., Bonifazi M., Borgonovo G., Borre' S., Bosio M., Brachini G., Brunetti I., Calagna L., Calo F., Capuozzo A., Carr T., Castellani A., Catalano F., Catania G., Catena E., Cattaneo M., Cattelan A., Ceruti V., Chiumiento F., Cicchitto G., Confalonieri M., Confalonieri P., Coppola N., Cosentina R., Costantino R., Crimi C., Curra A., D'Abbraccio M., Dalbeni A., Daleffe F., Davide R., Del Donno M., Di Pastena F., Di Perna F., Di Rosa Z., Di Sabatino A., Elesbani O., Elia D., Esposito V., Fabiani L., Falo G., Fanelli C., Fantin A., Ferrigno F., Fiorentino G., Franceschi F., Fronza M., Gardenghi G. G., Giacobbe D. R., Giannotti C., Giannotti G., Gidari A., Giovanardi F., Gnerre P., Gonnelli F., Graziano M., Greco S., Grosso A., Guarino S., Iannarelli A., Imitazione P., Inglese F., Iodice V., Izzo A., La Greca C., Lax A., Legittimo F., Leo A., Leone S., Lepidini V., Leto M., Licata F., Locati F., Lorini L., Lucchetti B., Maida I., Macera M., Manzillo E., March A., Mascheroni D., Mastroianni A., Mauro I., Mazzitelli M., Mazzuca E., Micheletto C., Mingoli A., Minuz P., Moioli M., Monti L., Morgagni R., Mucci L., Muselli M., Negri S., Nobile C. G. A., Oldani S., Olivieri C., Parati G., Parodi L., Pastorelli E., Patruno V., Pellegrino F., Pengo M. F., Pepe D., Perotti A., Petrino R., Petrucci M., Piane R. M., Pignataro G., Pino M., Pirisi M., Porru F., Pugliese F., Punzi R., Ramaroli D. A., Robba C., Rostagno R., Sabatini U., Sainaghi P. P., Salton F., Salzano C., Sanduzzi A., Zamparelli S. S., Sangiovanni V., Santopuoli D., Sapienza P., Sarmati L., Schiaroli E., Scienza F., Senni M., Serchisu L., Sgherzi S., Soddu D., Soranna D., Sorino C., Spadaro S., Stirpe E., Tardivo S., Tartaglia S., Teopompi E., Tomchaney M., Torelli E., Torlasco C., Torti C., Tupputi E., Ugolinelli C., Vatrella A., Versace A. G., Villani M., Vincenzo L., Volta C. A., Voraphani N., Zekaj E., Zoppellari R., Polverino, F, Stern, D, Ruocco, G, Balestro, E, Bassetti, M, Candelli, M, Cirillo, B, Contoli, M, Corsico, A, D'Amico, F, D'Elia, E, Falco, G, Gasparini, S, Guerra, S, Harari, S, Kraft, M, Mennella, L, Papi, A, Parrella, R, Pelosi, P, Poletti, V, Polverino, M, Tana, C, Terribile, R, Woods, J, Di Marco, F, Martinez, F, Zhang, S, Geelhoed, B, Sinning, C, Agarossi, A, Agati, S, Agosteo, E, Ando', F, Andreoni, M, Angelillo, I, Arcoleo, G, Arena, C, Baiamonte, P, Ball, L, Banfi, P, Bartoletti, G, Bartolotta, R, Battaglini, D, Bellan, M, Benzoni, I, Bertolini, R, Bevilacqua, M, Bezzi, M, Bianco, A, Bisbano, A, Bobbio, F, Bocchialini, G, Bonetti, F, Boni, F, Bonifazi, M, Borgonovo, G, Borre', S, Bosio, M, Brachini, G, Brunetti, I, Calagna, L, Calo, F, Capuozzo, A, Carr, T, Castellani, A, Catalano, F, Catania, G, Catena, E, Cattaneo, M, Cattelan, A, Ceruti, V, Chiumiento, F, Cicchitto, G, Confalonieri, M, Confalonieri, P, Coppola, N, Cosentina, R, Costantino, R, Crimi, C, Curra, A, D'Abbraccio, M, Dalbeni, A, Daleffe, F, Davide, R, Del Donno, M, Di Pastena, F, Di Perna, F, Di Rosa, Z, Di Sabatino, A, Elesbani, O, Elia, D, Esposito, V, Fabiani, L, Falo, G, Fanelli, C, Fantin, A, Ferrigno, F, Fiorentino, G, Franceschi, F, Fronza, M, Gardenghi, G, Giacobbe, D, Giannotti, C, Giannotti, G, Gidari, A, Giovanardi, F, Gnerre, P, Gonnelli, F, Graziano, M, Greco, S, Grosso, A, Guarino, S, Iannarelli, A, Imitazione, P, Inglese, F, Iodice, V, Izzo, A, La Greca, C, Lax, A, Legittimo, F, Leo, A, Leone, S, Lepidini, V, Leto, M, Licata, F, Locati, F, Lorini, L, Lucchetti, B, Maida, I, Macera, M, Manzillo, E, March, A, Mascheroni, D, Mastroianni, A, Mauro, I, Mazzitelli, M, Mazzuca, E, Micheletto, C, Mingoli, A, Minuz, P, Moioli, M, Monti, L, Morgagni, R, Mucci, L, Muselli, M, Negri, S, Nobile, C, Oldani, S, Olivieri, C, Parati, G, Parodi, L, Pastorelli, E, Patruno, V, Pellegrino, F, Pengo, M, Pepe, D, Perotti, A, Petrino, R, Petrucci, M, Piane, R, Pignataro, G, Pino, M, Pirisi, M, Porru, F, Pugliese, F, Punzi, R, Ramaroli, D, Robba, C, Rostagno, R, Sabatini, U, Sainaghi, P, Salton, F, Salzano, C, Sanduzzi, A, Zamparelli, S, Sangiovanni, V, Santopuoli, D, Sapienza, P, Sarmati, L, Schiaroli, E, Scienza, F, Senni, M, Serchisu, L, Sgherzi, S, Soddu, D, Soranna, D, Sorino, C, Spadaro, S, Stirpe, E, Tardivo, S, Tartaglia, S, Teopompi, E, Tomchaney, M, Torelli, E, Torlasco, C, Torti, C, Tupputi, E, Ugolinelli, C, Vatrella, A, Versace, A, Villani, M, Vincenzo, L, Volta, C, Voraphani, N, Zekaj, E, Zoppellari, R, Polverino F., Stern D. A., Ruocco G., Balestro E., Bassetti M., Candelli M., Cirillo B., Contoli M., Corsico A., D'Amico F., D'Elia E., Falco G., Gasparini S., Guerra S., Harari S., Kraft M., Mennella L., Papi A., Parrella R., Pelosi P., Poletti V., Polverino M., Tana C., Terribile R., Woods J. C., Di Marco F., Martinez F. D., Zhang S., Geelhoed B., Sinning C., Agarossi A., Agati S., Agosteo E., Ando' F., Andreoni M., Angelillo I. F., Arcoleo G., Arena C., Baiamonte P., Ball L., Banfi P., Bartoletti G., Bartolotta R., Battaglini D., Bellan M., Benzoni I., Bertolini R., Bevilacqua M., Bezzi M., Bianco A., Bisbano A., Bobbio F., Bocchialini G., Bonetti F., Boni F., Bonifazi M., Borgonovo G., Borre' S., Bosio M., Brachini G., Brunetti I., Calagna L., Calo F., Capuozzo A., Carr T., Castellani A., Catalano F., Catania G., Catena E., Cattaneo M., Cattelan A., Ceruti V., Chiumiento F., Cicchitto G., Confalonieri M., Confalonieri P., Coppola N., Cosentina R., Costantino R., Crimi C., Curra A., D'Abbraccio M., Dalbeni A., Daleffe F., Davide R., Del Donno M., Di Pastena F., Di Perna F., Di Rosa Z., Di Sabatino A., Elesbani O., Elia D., Esposito V., Fabiani L., Falo G., Fanelli C., Fantin A., Ferrigno F., Fiorentino G., Franceschi F., Fronza M., Gardenghi G. G., Giacobbe D. R., Giannotti C., Giannotti G., Gidari A., Giovanardi F., Gnerre P., Gonnelli F., Graziano M., Greco S., Grosso A., Guarino S., Iannarelli A., Imitazione P., Inglese F., Iodice V., Izzo A., La Greca C., Lax A., Legittimo F., Leo A., Leone S., Lepidini V., Leto M., Licata F., Locati F., Lorini L., Lucchetti B., Maida I., Macera M., Manzillo E., March A., Mascheroni D., Mastroianni A., Mauro I., Mazzitelli M., Mazzuca E., Micheletto C., Mingoli A., Minuz P., Moioli M., Monti L., Morgagni R., Mucci L., Muselli M., Negri S., Nobile C. G. A., Oldani S., Olivieri C., Parati G., Parodi L., Pastorelli E., Patruno V., Pellegrino F., Pengo M. F., Pepe D., Perotti A., Petrino R., Petrucci M., Piane R. M., Pignataro G., Pino M., Pirisi M., Porru F., Pugliese F., Punzi R., Ramaroli D. A., Robba C., Rostagno R., Sabatini U., Sainaghi P. P., Salton F., Salzano C., Sanduzzi A., Zamparelli S. S., Sangiovanni V., Santopuoli D., Sapienza P., Sarmati L., Schiaroli E., Scienza F., Senni M., Serchisu L., Sgherzi S., Soddu D., Soranna D., Sorino C., Spadaro S., Stirpe E., Tardivo S., Tartaglia S., Teopompi E., Tomchaney M., Torelli E., Torlasco C., Torti C., Tupputi E., Ugolinelli C., Vatrella A., Versace A. G., Villani M., Vincenzo L., Volta C. A., Voraphani N., Zekaj E., and Zoppellari R.

Abstract

Background: Italy has one of the world’s oldest populations, and suffered one the highest death tolls from Coronavirus disease 2019 (COVID-19) worldwide. Older people with cardiovascular diseases (CVDs), and in particular hypertension, are at higher risk of hospitalization and death for COVID-19. Whether hypertensionmedicationsmay increase the risk for death in older COVID 19 inpatients at the highest risk for the disease is currently unknown. Methods: Data from 5,625 COVID-19 inpatients were manually extracted from medical charts from 61 hospitals across Italy. From the initial 5,625 patients, 3,179 were included in the study as they were either discharged or deceased at the time of the data analysis. Primary outcome was inpatient death or recovery. Mixed effects logistic regression models were adjusted for sex, age, and number of comorbidities, with a random effect for site. Results: A large proportion of participating inpatients were ≥65 years old (58%), male (68%), non-smokers (93%) with comorbidities (66%). Each additional comorbidity increased the risk of death by 35% [adjOR = 1.35 (1.2, 1.5) p < 0.001]. Use of ACE inhibitors, ARBs, beta-blockers or Ca-antagonists was not associated with significantly increased risk of death. There was a marginal negative association between ARB use and death, and a marginal positive association between diuretic use and death. Conclusions: This Italian nationwide observational study of COVID-19 inpatients, the majority of which ≥65 years old, indicates that there is a linear direct relationship between the number of comorbidities and the risk of death. Among CVDs, hypertension and pre-existing cardiomyopathy were significantly associated with risk of death. The use of hypertension medications reported to be safe in younger cohorts, do not contribute significantly to increased COVID-19 related deaths in an older population that suffered one of the highest death tolls worldwide.

Published
2020

4. Comorbidities, cardiovascular therapies, and COVID-19 mortality: A nationwide, italian observational study (ItaliCO)

Author

Polverino, F., Phd, Md, Stern, D., Polverino, M., D'Amico, F., D'Elia, E., Agarossi, A., Agati, S., Agosteo, E., Ando', F., Andreoni, M., Angelillo, If., Dds, Mph, Arcoleo, G., Arena, C., Baiamonte, P., Balestro, E., Ball, L., Banfi, P., Bartoletti, G., Bartolotta, R., Bassetti, M., Battaglini, D., Bellan, M., Benzoni, I., Bertolini, R., Bevilacqua, M., Bezzi, M., Bianco, A., Bisbano, A., Bobbio, F., Bocchialini, G., Bonetti, F., Boni, F., Bonifazi, M., Borgonovo, G., Borre', S., Bosio, M., Brachini, G., Brunetti, I., Calagna, L., Calò, F., Candelli, M., Capuozzo, A., Carr, T., Castellani, A., Catalano, F., Catania, G., Catena, E., Cattaneo, M., Cattelan, A., Ceruti, V., Chiumiento, F., Cicchitto, G., Cirillo, B., Confalonieri, M., Confalonieri, P., Contoli, M., Coppola, N., Corsico, A., Cosentina, R., Costantino, R., Crimi, C., Currà, A., D'Abbraccio, M., Dalbeni, A., Daleffe, F., Davide, R., Del Donno, M., Di Marco, F., Di Pastena, F., Di Perna, F., Di Rosa, Z., Di Sabatino, A., Elesbani, O., Elia, D., Esposito, V., Fabiani, L., Falco, G., Falo, G., Fanelli, C., Fantin, A., Ferrigno, F., Fiorentino, G., Franceschi, F., Fronza, M., Gardini Gardenghi, G., Gasparini, S., Giacobbe, D. R., Giannotti, C., Giannotti, G., Gidari, A., Giovanardi, F., Gnerre, P., Gonnelli, F., Graziano, M., Greco, S., Grosso, A., Phd, Guarino, S., Guerra, S., Harari, S., Iannarelli, A., Imitazione, P., Inglese, F., Iodice, V., Izzo, A., La Greca, C., Kraft, M., Lax, A., Legittimo, F., Leo, A., Leone, S., Lepidini, V., Leto, M., Licata, F., Locati, F., Lorini, L., Lucchetti, B., Maida, I., Macera, M., Manzillo, E., March, A., Mascheroni, D., Mastroianni, A., Mauro, I., Mazzitelli, M., Mazzuca, E., Mennella, L., Micheletto, C., Mingoli, A., Minuz, P., Moioli, M., Monti, L., Morgagni, R., Mucci, L., Muselli, M., Negri, S., Nobile, C. G. A., Oldani, S., Olivieri, C., Papi, A., Parati, G., Parodi, L., Parrella, R., Pastorelli, E., Patruno, V., Pellegrino, F., Pelosi, P., Fers, Md, Pengo, M. F., Pepe, D., Perotti, A., Petrino, R., Petrucci, M., Piane, R. M., Pignataro, G., Pino, M., Pirisi, M., Poletti, V., Porru, F., Pugliese, F., Punzi, R., Ramaroli, D. A., Robba, C., Rostagno, R., Ruocco, G., Sabatini, U., Sainaghi, P. P., Salton, F., Salzano, C., Sanduzzi, A., Sanduzzi Zamparelli, S., Sangiovanni, V., Santopuoli, D., Sapienza, P., Sarmati, L., Schiaroli, E., Scienza, F., Senni, M., Serchisu, L., Sgherzi, S., Soddu, D., Soranna, D., Sorino, C., Spadaro, S., Stirpe, E., Tana, C., Tardivo, S., Tartaglia, S., Teopompi, E., Terribile, R., Tomchaney, M., Torelli, E., Torlasco, C., Torti, C., Tupputi, E., Ugolinelli, C., Vatrella, A., Versace, A. G., Villani, M., Vincenzo, L., Volta, C. A., Voraphani, N., Woods, J. C., Zekaj, E., Zoppellari, R., Martinez, and F. D., Polverino, Francesca, Stern, Debra A, Ruocco, Gaetano, Balestro, Elisabetta, Bassetti, Matteo, Candelli, Marcello, Cirillo, Bruno, Contoli, Marco, Corsico, Angelo, D'Amico, Filippo, D'Elia, Emilia, Falco, Giuseppe, Gasparini, Stefano, Guerra, Stefano, Harari, Sergio, Kraft, Monica, Mennella, Luigi, Papi, Alberto, Parrella, Roberto, Pelosi, Paolo, Poletti, Venerino, Polverino, Mario, Tana, Claudio, Terribile, Roberta, Woods, Jason C, Di Marco, Fabiano, Martinez, Fernando D, Angelillo, Italo Francesco, Stern, Debra A., C Woods, Jason, Martinez, Fernando D., Polverino, F., Stern, D., Polverino, M., D'Amico, F., D'Elia, E., Agarossi, A., Agati, S., Agosteo, E., Ando', F., Andreoni, M., Angelillo, If., Arcoleo, G., Arena, C., Baiamonte, P., Balestro, E., Ball, L., Banfi, P., Bartoletti, G., Bartolotta, R., Bassetti, M., Battaglini, D., Bellan, M., Benzoni, I., Bertolini, R., Bevilacqua, M., Bezzi, M., Bianco, A., Bisbano, A., Bobbio, F., Bocchialini, G., Bonetti, F., Boni, F., Bonifazi, M., Borgonovo, G., Borre', S., Bosio, M., Brachini, G., Brunetti, I., Calagna, L., Calò, F., Candelli, M., Capuozzo, A., Carr, T., Castellani, A., Catalano, F., Catania, G., Catena, E., Cattaneo, M., Cattelan, A., Ceruti, V., Chiumiento, F., Cicchitto, G., Cirillo, B., Confalonieri, M., Confalonieri, P., Contoli, M., Coppola, N., Corsico, A., Cosentina, R., Costantino, R., Crimi, C., Currà, A., D'Abbraccio, M., Dalbeni, A., Daleffe, F., Davide, R., Del Donno, M., Di Marco, F., Di Pastena, F., Di Perna, F., Di Rosa, Z., Di Sabatino, A., Elesbani, O., Elia, D., Esposito, V., Fabiani, L., Falco, G., Falo, G., Fanelli, C., Fantin, A., Ferrigno, F., Fiorentino, G., Franceschi, F., Fronza, M., Gardini Gardenghi, G., Gasparini, S., Giacobbe, D. R., Giannotti, C., Giannotti, G., Gidari, A., Giovanardi, F., Gnerre, P., Gonnelli, F., Graziano, M., Greco, S., Grosso, A., Guarino, S., Guerra, S., Harari, S., Iannarelli, A., Imitazione, P., Inglese, F., Iodice, V., Izzo, A., La Greca, C., Kraft, M., Lax, A., Legittimo, F., Leo, A., Leone, S., Lepidini, V., Leto, M., Licata, F., Locati, F., Lorini, L., Lucchetti, B., Maida, I., Macera, M., Manzillo, E., March, A., Mascheroni, D., Mastroianni, A., Mauro, I., Mazzitelli, M., Mazzuca, E., Mennella, L., Micheletto, C., Mingoli, A., Minuz, P., Moioli, M., Monti, L., Morgagni, R., Mucci, L., Muselli, M., Negri, S., Nobile, C. G. A., Oldani, S., Olivieri, C., Papi, A., Parati, G., Parodi, L., Parrella, R., Pastorelli, E., Patruno, V., Pellegrino, F., Pelosi, P., Pengo, M. F., Pepe, D., Perotti, A., Petrino, R., Petrucci, M., Piane, R. M., Pignataro, G., Pino, M., Pirisi, M., Poletti, V., Porru, F., Pugliese, F., Punzi, R., Ramaroli, D. A., Robba, C., Rostagno, R., Ruocco, G., Sabatini, U., Sainaghi, P. P., Salton, F., Salzano, C., Sanduzzi, A., Sanduzzi Zamparelli, S., Sangiovanni, V., Santopuoli, D., Sapienza, P., Sarmati, L., Schiaroli, E., Scienza, F., Senni, M., Serchisu, L., Sgherzi, S., Soddu, D., Soranna, D., Sorino, C., Spadaro, S., Stirpe, E., Tana, C., Tardivo, S., Tartaglia, S., Teopompi, E., Terribile, R., Tomchaney, M., Torelli, E., Torlasco, C., Torti, C., Tupputi, E., Ugolinelli, C., Vatrella, A., Versace, A. G., Villani, M., Vincenzo, L., Volta, C. A., Voraphani, N., Woods, J. C., Zekaj, E., Zoppellari, R., Martinez, F. D., Public Health, Polverino, F, Stern, D, Ruocco, G, Balestro, E, Bassetti, M, Candelli, M, Cirillo, B, Contoli, M, Corsico, A, D'Amico, F, D'Elia, E, Falco, G, Gasparini, S, Guerra, S, Harari, S, Kraft, M, Mennella, L, Papi, A, Parrella, R, Pelosi, P, Poletti, V, Polverino, M, Tana, C, Terribile, R, Woods, J, Di Marco, F, Martinez, F, Zhang, S, Geelhoed, B, Sinning, C, Agarossi, A, Agati, S, Agosteo, E, Ando', F, Andreoni, M, Angelillo, I, Arcoleo, G, Arena, C, Baiamonte, P, Ball, L, Banfi, P, Bartoletti, G, Bartolotta, R, Battaglini, D, Bellan, M, Benzoni, I, Bertolini, R, Bevilacqua, M, Bezzi, M, Bianco, A, Bisbano, A, Bobbio, F, Bocchialini, G, Bonetti, F, Boni, F, Bonifazi, M, Borgonovo, G, Borre', S, Bosio, M, Brachini, G, Brunetti, I, Calagna, L, Calo, F, Capuozzo, A, Carr, T, Castellani, A, Catalano, F, Catania, G, Catena, E, Cattaneo, M, Cattelan, A, Ceruti, V, Chiumiento, F, Cicchitto, G, Confalonieri, M, Confalonieri, P, Coppola, N, Cosentina, R, Costantino, R, Crimi, C, Curra, A, D'Abbraccio, M, Dalbeni, A, Daleffe, F, Davide, R, Del Donno, M, Di Pastena, F, Di Perna, F, Di Rosa, Z, Di Sabatino, A, Elesbani, O, Elia, D, Esposito, V, Fabiani, L, Falo, G, Fanelli, C, Fantin, A, Ferrigno, F, Fiorentino, G, Franceschi, F, Fronza, M, Gardenghi, G, Giacobbe, D, Giannotti, C, Giannotti, G, Gidari, A, Giovanardi, F, Gnerre, P, Gonnelli, F, Graziano, M, Greco, S, Grosso, A, Guarino, S, Iannarelli, A, Imitazione, P, Inglese, F, Iodice, V, Izzo, A, La Greca, C, Lax, A, Legittimo, F, Leo, A, Leone, S, Lepidini, V, Leto, M, Licata, F, Locati, F, Lorini, L, Lucchetti, B, Maida, I, Macera, M, Manzillo, E, March, A, Mascheroni, D, Mastroianni, A, Mauro, I, Mazzitelli, M, Mazzuca, E, Micheletto, C, Mingoli, A, Minuz, P, Moioli, M, Monti, L, Morgagni, R, Mucci, L, Muselli, M, Negri, S, Nobile, C, Oldani, S, Olivieri, C, Parati, G, Parodi, L, Pastorelli, E, Patruno, V, Pellegrino, F, Pengo, M, Pepe, D, Perotti, A, Petrino, R, Petrucci, M, Piane, R, Pignataro, G, Pino, M, Pirisi, M, Porru, F, Pugliese, F, Punzi, R, Ramaroli, D, Robba, C, Rostagno, R, Sabatini, U, Sainaghi, P, Salton, F, Salzano, C, Sanduzzi, A, Zamparelli, S, Sangiovanni, V, Santopuoli, D, Sapienza, P, Sarmati, L, Schiaroli, E, Scienza, F, Senni, M, Serchisu, L, Sgherzi, S, Soddu, D, Soranna, D, Sorino, C, Spadaro, S, Stirpe, E, Tardivo, S, Tartaglia, S, Teopompi, E, Tomchaney, M, Torelli, E, Torlasco, C, Torti, C, Tupputi, E, Ugolinelli, C, Vatrella, A, Versace, A, Villani, M, Vincenzo, L, Volta, C, Voraphani, N, Zekaj, E, and Zoppellari, R

Subjects
0301 basic medicine, COVID-19, comorbidities, ACE inhibitors, mortality, cohort study, medicine.medical_specialty, comorbiditie, lcsh:Diseases of the circulatory (Cardiovascular) system, ACE inhibitors, Coronavirus disease 2019 (COVID-19), COVID-19, cohort study, comorbidities, mortality, Cardiomyopathy, Socio-culturale, Disease, 030204 cardiovascular system & hematology, Cardiovascular Medicine, Logistic regression, Older population, Comorbidities, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Internal medicine, ACE inhibitor, medicine, Mortality, Original Research, business.industry, Cohort study, medicine.disease, Comorbidity, 030104 developmental biology, lcsh:RC666-701, Observational study, Erratum, Cardiology and Cardiovascular Medicine, business
Abstract

Background: Italy has one of the world’s oldest populations, and suffered one the highest death tolls from Coronavirus disease 2019 (COVID-19) worldwide. Older people with cardiovascular diseases (CVDs), and in particular hypertension, are at higher risk of hospitalization and death for COVID-19. Whether hypertensionmedicationsmay increase the risk for death in older COVID 19 inpatients at the highest risk for the disease is currently unknown. Methods: Data from 5,625 COVID-19 inpatients were manually extracted from medical charts from 61 hospitals across Italy. From the initial 5,625 patients, 3,179 were included in the study as they were either discharged or deceased at the time of the data analysis. Primary outcome was inpatient death or recovery. Mixed effects logistic regression models were adjusted for sex, age, and number of comorbidities, with a random effect for site. Results: A large proportion of participating inpatients were ≥65 years old (58%), male (68%), non-smokers (93%) with comorbidities (66%). Each additional comorbidity increased the risk of death by 35% [adjOR = 1.35 (1.2, 1.5) p < 0.001]. Use of ACE inhibitors, ARBs, beta-blockers or Ca-antagonists was not associated with significantly increased risk of death. There was a marginal negative association between ARB use and death, and a marginal positive association between diuretic use and death. Conclusions: This Italian nationwide observational study of COVID-19 inpatients, the majority of which ≥65 years old, indicates that there is a linear direct relationship between the number of comorbidities and the risk of death. Among CVDs, hypertension and pre-existing cardiomyopathy were significantly associated with risk of death. The use of hypertension medications reported to be safe in younger cohorts, do not contribute significantly to increased COVID-19 related deaths in an older population that suffered one of the highest death tolls worldwide.

Published
2020

5. A structural equation model to assess the pathways of body adiposity and inflammation status on dysmetabolic biomarkers via red cell distribution width and mean corpuscular volume: a cross-sectional study in overweight and obese subjects

Author

Rondanelli M., Perna S., Alalwan T. A., Cazzola R., Gasparri C., Infantino V., Perdoni F., Iannello G., Pepe D., Guido D., Rondanelli, M, Perna, S, Alalwan, T, Cazzola, R, Gasparri, C, Infantino, V, Perdoni, F, Iannello, G, Pepe, D, Guido, D, cazzola, roberta/0000-0002-0778-8529, Gasparri, Clara/0000-0002-1088-6648, and Alalwan, Tariq/0000-0002-7693-4542

Subjects
Adult, Erythrocyte Indices, Male, Adolescent, Red cell distribution width, Models, Biological, Body Mass Index, Young Adult, Path analysi, Humans, Obesity, Path analysis, lcsh:RC620-627, Mean corpuscular volume, Adiposity, Inflammation, Research, nutritional and metabolic diseases, Middle Aged, Overweight, Lipids, lcsh:Nutritional diseases. Deficiency diseases, Oxidative Stress, C-Reactive Protein, Cross-Sectional Studies, Metabolism, Structural equation modelling, Reactive oxygen specie, Female, Waist Circumference, Reactive oxygen species, Biomarkers, Pathway
Abstract

Background A study has been performed in overweight and obese subjects to assess the effects of adiposity and inflammation indicators on dysmetabolic biomarkers via red cell distribution width (RDW) and mean corpuscular volume (MCV), taking into account pro-antioxidant balance. Methods Data from 166 overweight subjects were analyzed by a path analysis model using structural equation modelling (SEM) to evaluate the direct and indirect pathway effects of adiposity, measured by body mass index (BMI) and waist circumference (WC), and inflammation status, measured by pro-antioxidant balance [reactive oxygen species (ROS)], lag-time and slope and C-reactive protein (CRP) values on dysmetabolic biomarkers, via RDW and MCV. Results BMI was strongly linked to CRP and ROS levels. Moreover, there was a significant negative decrease of MCV (1.546 femtoliters) linked to BMI indirectly via high CRP levels. Furthermore, WC affected RDW, indicating a possible mediatory role for RDW in relation to the relationship between WC and homeostatic model assessment (HOMA), insulin and high density lipoprotein (HDL), respectively. This was evident by the elevated HOMA and insulin levels and the decreased levels of HDL. Finally, ROS-related markers did not affect directly RDW and MCV. Conclusion The reported outcomes suggest that RDW might play a mediatory role in the relationship between WC and the dysmetabolic outcomes in overweight and obese individuals. CRP seems to modulate the linkage between BMI and MCV. This study provides the backbone structure for future scenarios and lays the foundation for further research on the role of RDW and MCV as suitable biomarkers for the assessment of cardiovascular disease (HDL-cholesterol), inflammatory bowels and insulin resistance. Gasparri, C (corresponding author), Univ Pavia, Endocrinol & Nutr Unit, Azienda Serv Persona Ist Santa Margherita, I-27100 Pavia, Italy. clara.gasparri01@universitadipavia.it

Published
2019

7. UWB CMOS monocycle pulse generator

Author

Zito, F., Pepe, D., and Zito, D.

Subjects
Complementary metal oxide semiconductors -- Usage, Electric circuits -- Analysis, Embedded systems -- Design and construction, Microelectronics -- Analysis, Miniature electronic equipment -- Analysis, Ultra wideband technology -- Usage, Embedded system, System on a chip, Business, Computers and office automation industries, Electronics, Electronics and electrical industries
Published
2010

10. New techniques for solar power forecasting and building energy management

Author

Pepe, D

Subjects
Optimization, Photovoltaic generation, Energy management systems, Smart buildings, Mathematical modeling, Model predictive control, Photovoltaic generation, Estimation, Forecasting, Smart buildings, Energy management systems, Model predictive control, Demand-response, Mathematical modeling, Optimization, ING-INF/04 AUTOMATICA, Estimation, Forecasting, Demand-response
Published
2019

11. Synergistic activity of everolimus and 5-aza-2'-deoxycytidine in medullary thyroid carcinoma cell lines

Author

Vitale, G. (Giovanni), Dicitore, A. (Alessandra), Pepe, D. (Daniele), Gentilini, D. (Davide), Grassi, E.S. (Elisa Stellaria), Borghi, A.M. (Anna), Gelmini, G. (Giulia), Cantone, M.C. (Maria C.), Gaudenzi, G. (Germano), Misso, K. (Kate), Di Blasio, A.M. (Anna Maria), Hofland, L.J. (Leo), Caraglia, M. (Michele), Persani, L. (Luca), Vitale, G. (Giovanni), Dicitore, A. (Alessandra), Pepe, D. (Daniele), Gentilini, D. (Davide), Grassi, E.S. (Elisa Stellaria), Borghi, A.M. (Anna), Gelmini, G. (Giulia), Cantone, M.C. (Maria C.), Gaudenzi, G. (Germano), Misso, K. (Kate), Di Blasio, A.M. (Anna Maria), Hofland, L.J. (Leo), Caraglia, M. (Michele), and Persani, L. (Luca)

Abstract

Medullary thyroid cancer (MTC) is a tumor highly resistant to chemo- and radiotherapy. Drug resistance can be induced by epigenetic changes such as aberrant DNA methylation. To overcome drug resistance, we explored a promising approach based on the use of 5-aza-2'-deoxycytidine (AZA), a demethylating agent, in combination with the mTOR inhibitor everolimus in MTC cells (MZ-CRC-1 and TT). This combined treatment showed a strong synergistic antiproliferative activity through the induction of apoptosis. The effect of everolimus and/or AZA on genome-wide expression profiling was evaluated by Illumina BeadChip in MZ-CRC-1 cells. An innovative bioinformatic pipeline identified four potential molecular pathways implicated in the synergy between AZA and everolimus: PI3K-Akt signaling, the neurotrophin pathway, ECM/receptor interaction, and focal adhesion. Among these, the neurotrophin signaling pathway was most directly involved in apoptosis, through the overexpression of NGFR and Bax genes. The increased expression of genes involved in the NGFR-MAPK10-TP53-Bax/Bcl2 pathway during incubation with AZA plus everolimus was validated by western blotting in MZ-CRC-1 cells. Interestingly, addition of a neutralizing anti-NGFR antibody inhibited the synergistic cytotoxic activity between AZA and everolimus. These results open a new therapeutic scenario for MTC and potentially other neuroendocrine tumors, where therapy with mTOR inhibitors is currently approved.

Published
2017
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12. Synergistic activity of everolimus and 5-aza-2 '-deoxycytidine in medullary thyroid carcinoma cell lines

Author

Vitale, G (Giovanni), Dicitore, A, Pepe, D, Gentilini, D, Grassi, E S, Borghi, MO, Gelmini, G, Cantone, MC, Gaudenzi, G, Misso, G, Di Blasio, AM, Hofland, Leo, Caraglia, M, Persani, L, Vitale, G (Giovanni), Dicitore, A, Pepe, D, Gentilini, D, Grassi, E S, Borghi, MO, Gelmini, G, Cantone, MC, Gaudenzi, G, Misso, G, Di Blasio, AM, Hofland, Leo, Caraglia, M, and Persani, L

Published
2017

14. Determinants of premature familial arterial thrombosis in patient with Juvenile ischaemic stroke. The Italian Project on Stroke in Young Adults ( IPSYS)

Author

Pezzini, A, Grassi, M, Lodigiani, C, Patella, Rosalba, Gandolfo, C, Zini, A, Delodovici, Ml, Paciaroni, M, Del Sette, M, Toriello, A, Musolino, R, Calabrò, Rs, Bovi, P, Adami, A, Silvestrelli, G, Sessa, M, Cavallini, A, Marcheselli, S, Bonifati, Dm, Checcarelli, N, Tancredi, L, Chiti, A, Del Zotto, E, Spalloni, A, Costa, P, Giacalone, G, Ferrazzi, P, Poli, L, Morotti, A, Rasura, Maurizia, Simone, Am, Gamba, M, Cerrato, P, Micieli, G, Melis, M, Massucco, D, De Giuli, V, Pepe, D, Iacoviello, L, Padovani, A, and on behalf of the Italian Project on Stroke in Young Adults Investigators

Subjects
Male, Familial aggregation, Pediatrics, Heredity, Time Factors, 030204 cardiovascular system & hematology, Brain Ischemia, 0302 clinical medicine, Stroke in young adults, Recurrence, Risk Factors, Odds Ratio, Myocardial infarction, Age of Onset, Young adult, Family history, Stroke, Smoking, Family aggregation, Hematology, Middle Aged, Prognosis, Thrombosis, Phenotype, Italy, Antibodies, Antiphospholipid, Cohort studies, Female, Prothrombin, Cohort study, Adult, medicine.medical_specialty, Adolescent, Arterial Occlusive Diseases, Young Adult, 03 medical and health sciences, Risk factors in epidemiology, medicine, Humans, juvenile stroke, Juvenile, Genetic Predisposition to Disease, Blood Coagulation, Proportional Hazards Models, Chi-Square Distribution, business.industry, Factor V, medicine.disease, Logistic Models, Multivariate Analysis, Mutation, Physical therapy, business, Biomarkers, 030217 neurology & neurosurgery
Abstract

SummaryFactors predicting family history (FH) of premature arterial thrombosis in young patients with ischaemic stroke (IS) have not been extensively investigated, and whether they might influence the risk of post-stroke recurrence is still unknown. In the present study we analysed 1,881 consecutive first-ever IS patients aged 18–45 years recruited from January 2000 to January 2012 as part of the Italian Project on Stroke in Young Adults (IPSYS). FH of premature arterial thrombosis was any thrombotic event [IS, myocardial infarction or other arterial events event] > 45 years in proband’s first-degree relatives. Compared with patients without FH of premature arterial thrombosis, those with FH (n= 85) were more often smokers (odds ratio [OR], 1.94; 95 % confidence interval [CI], 1.21–3.09) and carriers of procoagulant abnormalities (OR, 3.66; 95 % CI, 2.21–6.06). Smoking (OR, 2.48; 95 % CI, 1.20–5.15), the A1691 mutation in factor V gene (OR, 3.64; 95 % CI, 1.31–10.10), and the A20210 mutation in the prothrombin gene (OR, 8.40; 95 % CI 3.35–21.05) were associated with FH of premature stroke (n = 33), while circulating anti-phospholipids to FH of premature myocardial infarction (n = 45; OR, 3.48; 95 % CI, 1.61–7.51). Mean follow-up time was 46.6 ± 38.6 months. Recurrent events occurred more frequently in the subgroup of patients with FH of premature stroke [19.4 %); p = 0.051] compared to patients without such a FH. In conclusion, young IS patients with FH of premature arterial thrombosis exhibit a distinct risk-factor profile, an underlying procoagulant state and have worse vascular prognosis than those with no FH of juvenile thrombotic events.

Published
2015

15. Antithrombotic medications and the etiology of intracerebral hemorrhage: MUCH-Italy

Author

Pezzini, A, Grassi, M, Paciaroni, Maurizio, Zini, A, Silvestrelli, Giorgio, Del Zotto, E, Caso, Valeria, Dell'Acqua, Ml, Giossi, A, Volonghi, I, Simone, Am, Lanari, Alessia, Costa, P, Poli, L, Morotti, A, De Giuli, V, Pepe, D, Gamba, M, Ciccone, A, Ritelli, M, Colombi, M, Agnelli, G, Padovani, A, and Multicenter Study on Cerebral Hemorrhage in Italy Investigators

Subjects
Male, medicine.medical_specialty, Logistic regression, Hematoma, Fibrinolytic Agents, Thalamus, Risk Factors, Internal medicine, Cerebellum, Antithrombotic, Odds Ratio, Medicine, Humans, cardiovascular diseases, Stroke, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Aged, Cerebral Hemorrhage, Intracerebral hemorrhage, Aged, 80 and over, Cerebral Cortex, business.industry, Age Factors, Basal Ganglia Hemorrhage, Anticoagulants, Brain, Odds ratio, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Confidence interval, nervous system diseases, Logistic Models, Italy, Hypertension, Multivariate Analysis, Cardiology, Etiology, Female, Neurology (clinical), business, Tomography, X-Ray Computed, Platelet Aggregation Inhibitors, Brain Stem
Abstract

Objective: To test the hypothesis that the effect of antithrombotic medications on the risk of intracerebral hemorrhage (ICH) varies according to the location of the hematoma. Methods: Consecutive patients with ICH were enrolled as part of the Multicenter Study on Cerebral Hemorrhage in Italy (MUCH-Italy). Multivariable logistic regression models served to examine whether risk factors for ICH and location of the hematoma (deep vs lobar) predict treatment-specific ICH subgroups (antiplatelets-related ICH and oral anticoagulants [OACs]–related ICH). Results: A total of 870 (313 lobar ICH, 557 deep ICH) subjects were included. Of these, 223 (25.6%) were taking antiplatelets and 77 (8.8%) OACs at the time of stroke. The odds of antiplatelet-related ICH increased with aging (odds ratio [OR] 1.05; 95% confidence interval [CI] 1.03–1.07) and hypertension (OR 1.86; 95% CI 1.22–2.85) but had no relation with the anatomical location of ICH. Conversely, lobar location of the hematoma was associated with the subgroup of OAC-related ICH (OR 1.70; 95% CI 1.03–2.81) when compared to the subgroup of patients taking no antithrombotic medications. Within the subgroup of patients taking OACs, international normalized ratio (INR) values were higher in those with lobar ICH as compared to those with deep ICH (2.8 ± 1.1 vs 2.2 ± 0.8; p = 0.011). The proportion of patients with lobar hematoma increased with increasing intensity of anticoagulation, with a ∼2-fold increased odds of lobar compared to deep ICH (odds 2.17; p = 0.03) in those exposed to overanticoagulation (INR values >3.0). Conclusions: OACs, as opposed to antiplatelets, predispose to lobar location of brain hematomas according to a dose-response relationship.

Published
2014

17. MIDAS: Automated Approach to Design Microwave Integrated Inductors and Transformers on Silicon

Author

Aluigi, L., Federico ALIMENTI, Pepe, D., Roselli, L., and Zito, D.

Subjects
electronic design automation, Electromagnetic simulations, inductors, integrated circuits, microwaves, silicon transformers, Hardware_INTEGRATEDCIRCUITS, silicon, transformers, lcsh:Electrical engineering. Electronics. Nuclear engineering, lcsh:TK1-9971
Abstract

The design of modern radiofrequency integrated circuits on silicon operating at microwave and millimeter-waves requires the integration of several spiral inductors and transformers that are not commonly available in the process design-kits of the technologies. In this work we present an auxiliary CAD tool for Microwave Inductor (and transformer) Design Automation on Silicon (MIDAS) that exploits commercial simulators and allows the implementation of an automatic design flow, including three-dimensional layout editing and electromagnetic simulations. In detail, MIDAS allows the designer to derive a preliminary sizing of the inductor (transformer) on the bases of the design entries (specifications). It draws the inductor (transformer) layers for the specific process design kit, including vias and underpasses, with or without patterned ground shield, and launches the electromagnetic simulations, achieving effective design automation with respect to the traditional design flow for RFICs. With the present software suite the complete design time is reduced significantly (typically 1 hour on a PC based on Intel® Pentium® Dual 1.80GHz CPU with 2-GB RAM). Afterwards both the device equivalent circuit and the layout are ready to be imported in the Cadence environment.

Published
2013

19. Estimating the Inheritance of Frontotemporal Lobar Degeneration in the Italian Population.

Author

Borroni, B, Grassi, M, Bianchi, M, Bruni, A, Maletta, R, Anfossi, M, Pepe, D, Cagnin, A, Caffarra, P, Cappa, S, Clerici, F, Daniele, A, Frisoni, G, Galimberti, D, Parnetti, L, Perri, R, Rainero, I, Tremolizzo, L, Turla, M, Zanetti, O, Padovani, A, Bruni, AC, Maletta, RG, Frisoni, GB, Padovani, A., TREMOLIZZO, LUCIO, Borroni, B, Grassi, M, Bianchi, M, Bruni, A, Maletta, R, Anfossi, M, Pepe, D, Cagnin, A, Caffarra, P, Cappa, S, Clerici, F, Daniele, A, Frisoni, G, Galimberti, D, Parnetti, L, Perri, R, Rainero, I, Tremolizzo, L, Turla, M, Zanetti, O, Padovani, A, Bruni, AC, Maletta, RG, Frisoni, GB, Padovani, A., and TREMOLIZZO, LUCIO

Abstract

Frontotemporal dementia (FTD) has a strong genetic basis, with familial forms occurring in 30-50% of cases. Causative genes have been identified, with an autosomal dominant pattern of inheritance. Notwithstanding, in a number of cases with positive family history no pathogenetic mutation has been reported, and the role of genetics in sporadic cases is still unclear. The aim of the present study was to estimate the genetic contribution to FTD using concordance among parent-offspring pairs. Heritability of early-onset (EO, <65 years) and late-onset (LO, ≥65 years) FTD was estimated by examining the concordance between parents and offspring. Probands with at least one parent whose dementia status was known were recruited from 15 Italian centers, and the presence or absence of dementia was considered in siblings. Different prevalence estimates, as available by literature data, were tested. A total of 260 probands and 1619 family members were considered in this study. We found that parent-offspring concordance in FTD was 6.25%, resulting in hereditability of 98.5% (95% confidence interval (CI): 85.0%-100.0%). Equal heritability for both sexes regardless of parental gender was reported. EO-FTD showed hereditability of 86.3% (95% CI: 77.0%-95.0%) and LO-FTD of 75.7% (95% CI: 65.0%-86.0%). Estimating the contribution of genetics in FTD may help in driving future genetic studies to identify new pathogenetic determinants. We suggest that in most of the cases FTD is a genetic-based disease, even in the elderly. Different inheritance modality might be considered in future work, beyond autosomal dominant disease

Published
2014

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