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46 results on '"Cappellini F."'

1. Extracorporeal cardio-pulmonary resuscitation in a patient with missed diagnosis of sodium nitrite intoxication

Author

Gaiani, F, Giani, M, Vergnano, B, Sardella, J, Cappellini, F, Casati, M, Pozzi, M, Foti, G, Gaiani F., Giani M., Vergnano B., Sardella J., Cappellini F., Casati M., Pozzi M., Foti G., Gaiani, F, Giani, M, Vergnano, B, Sardella, J, Cappellini, F, Casati, M, Pozzi, M, Foti, G, Gaiani F., Giani M., Vergnano B., Sardella J., Cappellini F., Casati M., Pozzi M., and Foti G.

Abstract

Introduction: Critical poisoning with sodium nitrite (NaNO2) can present challenges in promptly identifying and managing acute methemoglobinemia. Case report: We report the case of an overt self-intoxication by an initially unknown agent, leading to cardiac arrest. Despite prodromal signs of cyanosis, coma, desaturation, and hypotension, methemoglobinemia went unrecognized during extracorporeal cardiopulmonary resuscitation (ECPR) as the point-of-care test failed to provide methemoglobin levels, leading to untreated methemoglobinemia. The blood flowing through the oxygenator notably maintained the same brown colour. Return of spontaneous circulation was never achieved, and the patient was declared dead after 60 min of unsuccessful resuscitation. Cause of death by means of NaNO2 voluntary ingestion was later clarified and confirmed by postmortem finding of elevated nitrite and nitrate concentration. Conclusions: This case highlights the risk of failure of ECPR in the context of cardiac arrest due to methemoglobinemia, emphasizing the critical need for prompt recognition of the causative agent and early administration of antidotes.

Published
2024

4. Development of an algorithm for ruling-out non-ST elevation myocardial infarction in the emergency department using high sensitivity troponin T assay

Author

Cappellini, F, Falbo, R, Saltafossi, D, Avanzini, F, Signorini, S, Fania, C, Intra, J, Limonta, G, Pitto, M, Brambilla, P, Cappellini F., Falbo R., Saltafossi D., Avanzini F., Signorini S., Fania C., Intra J., Limonta G., Pitto M., Brambilla P., Cappellini, F, Falbo, R, Saltafossi, D, Avanzini, F, Signorini, S, Fania, C, Intra, J, Limonta, G, Pitto, M, Brambilla, P, Cappellini F., Falbo R., Saltafossi D., Avanzini F., Signorini S., Fania C., Intra J., Limonta G., Pitto M., and Brambilla P.

Abstract

Introduction: Chest pain and its clinical manifestations are the most common reasons for presentation to the emergency department (ED). Given that the prevalence of chest pain due to acute myocardial infarction (AMI) in the ED is modest, clinicians should use cardiac troponins to safely and rapidly rule out AMI, avoiding the delayed release of low risk patients. The study aims to develop and validate an algorithm to early rule-out of non-ST elevation myocardial infarction (NSTEMI) in subjects admitted to the ED with symptoms of myocardial infarction. Methods: High sensitivity cardiac Troponin T (hs-cTnT) serial measurements (baseline, T0; after 1 h, T1; after 3 h, T3) were used to develop and validate the algorithm, respectively, in 6403 and 773 consecutive admissions suggestive of AMI. Results: Patients were classified as having or not having NSTEMI according to clinical assessment, diagnostic imaging, and serial measurements ofhs-cTnT; ROC curve analysis allowed to find changes in consecutive hs-cTnT associated with diagnostic sensitivity close to 100%. Only patients with hs-cTnTat T0 lower than 14 ng/L resultedto be eligible for the safe rule-out of NSTEMI. Conclusions: Although some points remain to be improved, the results obtained indicate that algorithms for fast NSTEMI rule-out are feasible and safe.

Published
2019

5. Dietary intake and major food sources of polyphenols in people with type 2 diabetes: The TOSCA.IT Study

Author

Vitale, M, Masulli, M, Rivellese, A, Bonora, E, Cappellini, F, Nicolucci, A, Squatrito, S, Antenucci, D, Barrea, A, Bianchi, C, Bianchini, F, Fontana, L, Fornengo, P, Giorgino, F, Gnasso, A, Mannucci, E, Mazzotti, A, Nappo, R, Palena, A, Pata, P, Perriello, G, Potenziani, S, Radin, R, Ricci, L, Romeo, F, Santini, C, Scarponi, M, Serra, R, Timi, A, Turco, A, Vedovato, M, Zavaroni, D, Grioni, S, Riccardi, G, Vaccaro, O, Cocozza, S, Auciello, S, Cigolini, M, Pichiri, I, Brangani, C, Tomasetto, E, Sinagra, T, Longhitano, S, Tropea, V, Ballardini, G, Babini, A, Ripani, R, Gregori, G, Dolci, M, Bruselli, L, Salutini, I, Mori, M, Baccetti, F, Lapolla, A, Sartore, G, Burlina, S, Chilelli, N, Buzzetti, R, Venditti, C, Carlone, A, Galluzzo, A, Giordano, C, Torregrossa, V, Corsi, L, Cuneo, G, Corsi, S, Tizio, B, Galluzzo, G, Citro, G, Natale, M, Salvatore, V, Di Cianni, G, Lacaria, E, Russo, L, Iannarelli, R, De Gregorio, A, Sciarretta, F, D'Andrea, S, Montani, V, Cannarsa, E, Dolcetti, K, Cordera, R, Bonabello, L, Mazzucchelli, C, Giorda, C, Bonetto, C, Baldassarre, M, Iovine, C, Ciano, O, Dall'Aglio, E, Mancastroppa, G, Grimaldi, F, Tonutti, L, Boemi, M, D'Angelo, F, Leotta, S, Lauro, D, Rinaldi, M, Cignarelli, M, La Macchia, O, Fariello, S, Tomasi, F, Zamboni, C, Dozio, N, Trevisan, R, Scaranna, C, Del Prato, S, Miccoli, R, Garofolo, M, Pugliese, G, Salvi, L, Rangel, G, Anichini, R, Tedeschi, A, Corsini, E, Cucinotta, D, Di Benedetto, A, Giunta, L, Ruffo, M, Bossi, A, Carpinter, R, Dotta, F, Ceccarelli, E, Bartolo, P, Caselli, C, Luberto, A, Calbucci, G, Consoli, A, Ginestra, F, Calabrese, M, Zogheri, A, Laviola, L, Ippolito, C, Tarantino, L, Avogaro, A, Carallo, C, Scicchitano, C, Livraga, S, Perin, P, Forrnengo, P, Prinzis, T, De Cosmo, S, Bacci, S, Lamanna, C, Lettina, G, Aiello, A, Lalli, C, Franzetti, I, Petrachi, F, Asprino, V, Capra, C, Forte, E, Reggiani, G, Forlani, G, Montesi, L, Mazzella, N, Piatti, P, Monti, L, Stuccillo, M, Auletta, P, Petraroli, E, Capobianco, G, Romano, G, Cutolo, M, De Simone, G, Caiazzo, G, Nunziata, P, Sorrentino, S, Amelia, U, Calatola, P, Capuano, G, Vitale M., Masulli M., Rivellese A. A., Bonora E., Cappellini F., Nicolucci A., Squatrito S., Antenucci D., Barrea A., Bianchi C., Bianchini F., Fontana L., Fornengo P., Giorgino F., Gnasso A., Mannucci E., Mazzotti A., Nappo R., Palena A. P., Pata P., Perriello G., Potenziani S., Radin R., Ricci L., Romeo F., Santini C., Scarponi M., Serra R., Timi A., Turco A. A., Vedovato M., Zavaroni D., Grioni S., Riccardi G., Vaccaro O., Cocozza S., Auciello S., Cigolini M., Pichiri I., Brangani C., Tomasetto E., Sinagra T., Longhitano S., Tropea V., Ballardini G., Babini A. C., Ripani R., Gregori G., Dolci M., Bruselli L., Salutini I., Mori M., Baccetti F., Lapolla A., Sartore G., Burlina S., Chilelli N. C., Buzzetti R., Venditti C., Carlone A., Galluzzo A., Giordano C., Torregrossa V., Corsi L., Cuneo G., Corsi S., Tizio B., Galluzzo G., Citro G., Natale M., Salvatore V., Di Cianni G., Lacaria E., Russo L., Iannarelli R., De Gregorio A., Sciarretta F., D'Andrea S., Montani V., Cannarsa E., Dolcetti K., Cordera R., Bonabello L. A., Mazzucchelli C., Giorda C. B., Bonetto C., Baldassarre M. P. A., Iovine C., Ciano O., Dall'Aglio E., Mancastroppa G., Grimaldi F., Tonutti L., Boemi M., D'Angelo F., Leotta S., Lauro D., Rinaldi M. E., Cignarelli M., La Macchia O., Fariello S., Tomasi F., Zamboni C., Dozio N., Trevisan R., Scaranna C., Del Prato S., Miccoli R., Garofolo M., Pugliese G., Salvi L., Rangel G., Anichini R., Tedeschi A., Corsini E., Cucinotta D., Di Benedetto A., Giunta L., Ruffo M. C., Bossi A. C., Carpinter R., Dotta F., Ceccarelli E., Bartolo P. D., Caselli C., Luberto A., Calbucci G., Consoli A., Ginestra F., Calabrese M., Zogheri A., Laviola L., Ippolito C., Tarantino L., Avogaro A., Carallo C., Scicchitano C., Livraga S., Perin P. C., Forrnengo P., Prinzis T., De Cosmo S., Bacci S., Lamanna C., Lettina G., Aiello A., Lalli C., Franzetti I., Petrachi F., Asprino V., Capra C., Forte E., Reggiani G. M., Forlani G., Montesi L., Mazzella N., Piatti P. M., Monti L., Stuccillo M., Auletta P., Petraroli E., Capobianco G., Romano G., Cutolo M., De Simone G., Caiazzo G., Nunziata P., Sorrentino S., Amelia U., Calatola P., Capuano G., Vitale, M, Masulli, M, Rivellese, A, Bonora, E, Cappellini, F, Nicolucci, A, Squatrito, S, Antenucci, D, Barrea, A, Bianchi, C, Bianchini, F, Fontana, L, Fornengo, P, Giorgino, F, Gnasso, A, Mannucci, E, Mazzotti, A, Nappo, R, Palena, A, Pata, P, Perriello, G, Potenziani, S, Radin, R, Ricci, L, Romeo, F, Santini, C, Scarponi, M, Serra, R, Timi, A, Turco, A, Vedovato, M, Zavaroni, D, Grioni, S, Riccardi, G, Vaccaro, O, Cocozza, S, Auciello, S, Cigolini, M, Pichiri, I, Brangani, C, Tomasetto, E, Sinagra, T, Longhitano, S, Tropea, V, Ballardini, G, Babini, A, Ripani, R, Gregori, G, Dolci, M, Bruselli, L, Salutini, I, Mori, M, Baccetti, F, Lapolla, A, Sartore, G, Burlina, S, Chilelli, N, Buzzetti, R, Venditti, C, Carlone, A, Galluzzo, A, Giordano, C, Torregrossa, V, Corsi, L, Cuneo, G, Corsi, S, Tizio, B, Galluzzo, G, Citro, G, Natale, M, Salvatore, V, Di Cianni, G, Lacaria, E, Russo, L, Iannarelli, R, De Gregorio, A, Sciarretta, F, D'Andrea, S, Montani, V, Cannarsa, E, Dolcetti, K, Cordera, R, Bonabello, L, Mazzucchelli, C, Giorda, C, Bonetto, C, Baldassarre, M, Iovine, C, Ciano, O, Dall'Aglio, E, Mancastroppa, G, Grimaldi, F, Tonutti, L, Boemi, M, D'Angelo, F, Leotta, S, Lauro, D, Rinaldi, M, Cignarelli, M, La Macchia, O, Fariello, S, Tomasi, F, Zamboni, C, Dozio, N, Trevisan, R, Scaranna, C, Del Prato, S, Miccoli, R, Garofolo, M, Pugliese, G, Salvi, L, Rangel, G, Anichini, R, Tedeschi, A, Corsini, E, Cucinotta, D, Di Benedetto, A, Giunta, L, Ruffo, M, Bossi, A, Carpinter, R, Dotta, F, Ceccarelli, E, Bartolo, P, Caselli, C, Luberto, A, Calbucci, G, Consoli, A, Ginestra, F, Calabrese, M, Zogheri, A, Laviola, L, Ippolito, C, Tarantino, L, Avogaro, A, Carallo, C, Scicchitano, C, Livraga, S, Perin, P, Forrnengo, P, Prinzis, T, De Cosmo, S, Bacci, S, Lamanna, C, Lettina, G, Aiello, A, Lalli, C, Franzetti, I, Petrachi, F, Asprino, V, Capra, C, Forte, E, Reggiani, G, Forlani, G, Montesi, L, Mazzella, N, Piatti, P, Monti, L, Stuccillo, M, Auletta, P, Petraroli, E, Capobianco, G, Romano, G, Cutolo, M, De Simone, G, Caiazzo, G, Nunziata, P, Sorrentino, S, Amelia, U, Calatola, P, Capuano, G, Vitale M., Masulli M., Rivellese A. A., Bonora E., Cappellini F., Nicolucci A., Squatrito S., Antenucci D., Barrea A., Bianchi C., Bianchini F., Fontana L., Fornengo P., Giorgino F., Gnasso A., Mannucci E., Mazzotti A., Nappo R., Palena A. P., Pata P., Perriello G., Potenziani S., Radin R., Ricci L., Romeo F., Santini C., Scarponi M., Serra R., Timi A., Turco A. A., Vedovato M., Zavaroni D., Grioni S., Riccardi G., Vaccaro O., Cocozza S., Auciello S., Cigolini M., Pichiri I., Brangani C., Tomasetto E., Sinagra T., Longhitano S., Tropea V., Ballardini G., Babini A. C., Ripani R., Gregori G., Dolci M., Bruselli L., Salutini I., Mori M., Baccetti F., Lapolla A., Sartore G., Burlina S., Chilelli N. C., Buzzetti R., Venditti C., Carlone A., Galluzzo A., Giordano C., Torregrossa V., Corsi L., Cuneo G., Corsi S., Tizio B., Galluzzo G., Citro G., Natale M., Salvatore V., Di Cianni G., Lacaria E., Russo L., Iannarelli R., De Gregorio A., Sciarretta F., D'Andrea S., Montani V., Cannarsa E., Dolcetti K., Cordera R., Bonabello L. A., Mazzucchelli C., Giorda C. B., Bonetto C., Baldassarre M. P. A., Iovine C., Ciano O., Dall'Aglio E., Mancastroppa G., Grimaldi F., Tonutti L., Boemi M., D'Angelo F., Leotta S., Lauro D., Rinaldi M. E., Cignarelli M., La Macchia O., Fariello S., Tomasi F., Zamboni C., Dozio N., Trevisan R., Scaranna C., Del Prato S., Miccoli R., Garofolo M., Pugliese G., Salvi L., Rangel G., Anichini R., Tedeschi A., Corsini E., Cucinotta D., Di Benedetto A., Giunta L., Ruffo M. C., Bossi A. C., Carpinter R., Dotta F., Ceccarelli E., Bartolo P. D., Caselli C., Luberto A., Calbucci G., Consoli A., Ginestra F., Calabrese M., Zogheri A., Laviola L., Ippolito C., Tarantino L., Avogaro A., Carallo C., Scicchitano C., Livraga S., Perin P. C., Forrnengo P., Prinzis T., De Cosmo S., Bacci S., Lamanna C., Lettina G., Aiello A., Lalli C., Franzetti I., Petrachi F., Asprino V., Capra C., Forte E., Reggiani G. M., Forlani G., Montesi L., Mazzella N., Piatti P. M., Monti L., Stuccillo M., Auletta P., Petraroli E., Capobianco G., Romano G., Cutolo M., De Simone G., Caiazzo G., Nunziata P., Sorrentino S., Amelia U., Calatola P., and Capuano G.

Abstract

Purpose: Proper evaluation of polyphenols intake at the population level is a necessary step in order to establish possible associations with health outcomes. Available data are limited, and so far no study has been performed in people with diabetes. The aim of this work was to document the intake of polyphenols and their major food sources in a cohort of people with type 2 diabetes and in socio-demographic subgroups. Methods: We studied 2573 men and women aged 50–75 years. Among others, anthropometry was measured by standard protocol and dietary habits were investigated by food frequency questionnaire (EPIC). The intake of polyphenols was evaluated using US Department of Agriculture and Phenol-Explorer databases. Results: The mean total polyphenol intake was 683.3 ± 5.8 mg/day. Non-alcoholic beverages represented the main food source of dietary polyphenols and provided 35.5% of total polyphenol intake, followed by fruits (23.0%), alcoholic beverages (14.0%), vegetables (12.4%), cereal products and tubers (4.6%), legumes (3.7%) and oils (2.1%); chocolate, cakes and nuts are negligible sources of polyphenols in this cohort. The two most important polyphenol classes contributing to the total intake were flavonoids (47.5%) and phenolic acids (47.4%). Polyphenol intake increased with age and education level and decreased with BMI; furthermore, in the northern regions of Italy, the polyphenol intake was slightly, but significantly higher than in the central or southern regions. Conclusions: The study documents for the first time the intake of polyphenols and their main food sources in people with diabetes using validated and complete databases of the polyphenol content of food. Compared with published data, collected in people without diabetes, these results suggest a lower intake and a different pattern of intake in people with diabetes.

Published
2018

6. Toxtracker reporter cell lines as a tool for mechanism-based (Geno)toxicity screening of nanoparticles—metals, oxides and quantum dots

Author

McCarrick, S., Cappellini, F., Kessler, Amanda, Moelijker, N., Derr, R., Hedberg, Jonas, Wold, Susanna, Blomberg, Eva, Odnevall Wallinder, Inger, Hendriks, G., Karlsson, H. L., McCarrick, S., Cappellini, F., Kessler, Amanda, Moelijker, N., Derr, R., Hedberg, Jonas, Wold, Susanna, Blomberg, Eva, Odnevall Wallinder, Inger, Hendriks, G., and Karlsson, H. L.

Abstract

The increased use of nanoparticles (NPs) requires efficient testing of their potential toxic effects. A promising approach is to use reporter cell lines to quickly assess the activation of cellular stress response pathways. This study aimed to use the ToxTracker reporter cell lines to investigate (geno)toxicity of various metal-or metal oxide NPs and draw general conclusions on NP-induced effects, in combination with our previous findings. The NPs tested in this study (n = 18) also included quantum dots (QDs) in different sizes. The results showed a large variation in cytotoxicity of the NPs tested. Furthermore, whereas many induced oxidative stress only few activated reporters related to DNA damage. NPs of manganese (Mn and Mn3O4) induced the most remarkable ToxTracker response with activation of reporters for oxidative stress, DNA damage, protein unfolding and p53-related stress. The QDs (CdTe) were highly toxic showing clearly size-dependent effects and calculations suggest surface area as the most relevant dose metric. Of all NPs investigated in this and previous studies the following induce the DNA damage reporter; CuO, Co, CoO, CdTe QDs, Mn, Mn3O4, V2O5, and welding NPs. We suggest that these NPs are of particular concern when considering genotoxicity induced by metal-and metal oxide NPs., QC 20200420

Published
2020
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7. Effects on the incidence of cardiovascular events of the addition of pioglitazone versus sulfonylureas in patients with type 2 diabetes inadequately controlled with metformin (TOSCA.IT): a randomised, multicentre trial

Author

Vaccaro, O, Masulli, M, Nicolucci, A, Bonora, E, Del Prato, S, Maggioni, A, Rivellese, A, Squatrito, S, Giorda, C, Sesti, G, Mocarelli, P, Lucisano, G, Sacco, M, Signorini, S, Cappellini, F, Perriello, G, Babini, A, Lapolla, A, Gregori, G, Giordano, C, Corsi, L, Buzzetti, R, Clemente, G, Di Cianni, G, Iannarelli, R, Cordera, R, La Macchia, O, Zamboni, C, Scaranna, C, Boemi, M, Iovine, C, Lauro, D, Leotta, S, Dall'Aglio, E, Cannarsa, E, Tonutti, L, Pugliese, G, Bossi, A, Anichini, R, Dotta, F, Di Benedetto, A, Citro, G, Antenucci, D, Ricci, L, Giorgino, F, Santini, C, Gnasso, A, De Cosmo, S, Zavaroni, D, Vedovato, M, Consoli, A, Calabrese, M, di Bartolo, P, Fornengo, P, Riccardi, G, D'Angelo, F, Giansanti, R, Tanase, L, Lanari, L, Testa, I, Pancani, F, Ranchelli, A, Vagheggi, P, Scatona, A, Fontana, L, Laviola, L, Tarantino, L, Ippolito, C, Gigantelli, V, Manicone, M, Conte, E, Trevisan, R, Rota, R, Dodesini, A, Reggiani, G, Montesi, L, Mazzella, N, Forlani, G, Caselli, C, Di Luzio, R, Mazzotti, A, Aiello, A, Barrea, A, Musto, A, D'Amico, F, Sinagra, T, Longhitano, S, Trowpea, V, Sparti, M, Italia, S, Lisi, E, Grasso, G, Pezzino, V, Insalaco, F, Carallo, C, Scicchitano, C, De Franceschi, M, Calbucci, G, Ripani, R, Cuneo, G, Corsi, S, Romeo, F, Lesina, A, Comoglio, M, Bonetto, C, Robusto, A, Nada, E, Asprino, V, Cetraro, R, Impieri, M, Lucchese, G, Donnarumma, G, Tizio, B, Lenza, L, Paraggio, P, Tomasi, F, Dozio, N, Scalambra, E, Mannucci, E, Lamanna, C, Cignarelli, M, Macchia, O, Fariello, S, Sorrentino, M, Franzetti, I, Radin, R, Annunziata, F, Bonabello, L, Durante, A, Dolcino, M, Gallo, F, Mazzucchelli, C, Aleo, A, Melga, P, Briatore, L, Maggi, D, Storace, D, Cecoli, F, D'Ugo, E, Pupillo, M, Baldassarre, M, Salvati, F, Minnucci, A, De Luca, A, Zugaro, A, Santarelli, L, Bosco, A, Petrella, V, La Verghetta, G, D'Andrea, S, Giuliani, A, Polidoro, W, Sperandio, A, Sciarretta, F, Pezzella, A, Carlone, A, Potenziani, S, Venditti, C, Foffi, C, Carbone, S, Cipolloni, L, Moretti, C, Leto, G, Serra, R, Petrachi, F, Romano, I, Lacaria, E, Russo, L, Goretti, C, Sannino, C, Dolci, M, Bruselli, L, Mori, M, Baccetti, F, Del Freo, M, Cucinotta, D, Giunta, L, Ruffo, M, Cannizzaro, D, Pintaudi, B, Perrone, G, Pata, P, Ragonese, F, Lettina, G, Mancuso, T, Coppolino, A, Piatti, P, Monti, L, Stuccillo, M, Lucotti, P, Setola, M, Crippa, G, Loi, C, Oldani, M, Bottalico, M, Pellegata, B, Bonomo, M, Menicatti, L, Resi, V, Bertuzzi, F, Disoteo, E, Pizzi, G, Annuzzi, G, Capaldo, B, Nappo, R, Auciello, S, Turco, A, Costagliola, L, Corte, G, Vallefuoco, P, Nappi, F, Vitale, M, Cocozza, S, Ciano, O, Massimino, E, Garofalo, N, Avogaro, A, Guarneri, G, Fedele, D, Sartore, G, Chilelli, N, Burlina, S, Bonsembiante, B, Galluzzo, A, Torregrossa, V, Mancastroppa, G, Arsenio, L, Cioni, F, Caronna, S, Papi, M, Santeusanio, F, Calagreti, G, Timi, A, Tantucci, A, Marino, C, Ginestra, F, Di Biagio, R, Taraborelli, M, Miccoli, R, Bianchi, C, Garofolo, M, Politi, K, Penno, G, Livraga, S, Calzoni, F, Corsini, E, Tedeschi, A, Gagliano, M, Ippolito, G, Salutini, E, Cervellino, F, Natale, M, Salvatore, V, Zampino, A, Sinisi, R, Arcangeli, A, Zogheri, A, Guizzotti, S, Longo, R, Pellicano, F, Scolozzi, P, Termine, S, Luberto, A, Ballardini, G, Trojani, C, Mazzuca, P, Bruglia, M, Ciamei, M, Genghini, S, Zannoni, C, Rangel, G, Salvi, L, Zappaterreno, A, Cordone, S, Simonelli, P, Meggiorini, M, Frasheri, A, Di Pippo, C, Maglio, C, Mazzitelli, G, Rinaldi, M, Galli, A, Romano, M, D'Angelo, P, Suraci, C, Bacci, S, Palena, A, Genovese, S, Mancino, M, Rondinelli, M, Capone, F, Calabretto, E, Bulgheroni, M, Bucciarelli, L, Ceccarelli, E, Fondelli, C, Santacroce, C, Guarino, E, Nigi, L, Lalli, C, Di Vizia, G, Scarponi, M, Montani, V, Di Bernardino, P, Romagni, P, Dolcetti, K, Forte, E, Tamburo, L, Perin, P, Prinzis, T, Gruden, G, Bruno, G, Zucco, C, Perotta, M, Marena, S, Monsignore, S, Panero, F, Ponzi, F, Carpinteri, R, Casagrande, M, Coletti, M, Balini, A, Filopanti, M, Madaschi, S, Pulcina, A, Grimaldi, F, Venturini, G, Agus, S, Pagnutti, S, Guidotti, F, Cavarape, A, Cigolini, M, Pichiri, I, Brangani, C, Fainelli, G, Tomasetto, E, Zoppini, G, Galletti, A, Perrone, D, Capra, C, Bianchini, F, Ceseri, M, Di Nardo, B, Sasso, E, Bartolomei, B, Suliman, I, Fabbri, G, Romano, G, Maturo, N, Nunziata, G, Capobianco, G, De Simone, G, Villa, V, Rota, G, Pentangelo, C, Carbonara, O, Caiazzo, G, Cutolo, M, Sorrentino, T, Mastrilli, V, Amelia, U, Masi, S, Corigliano, G, Gaeta, I, Armentano, V, Calatola, P, Capuano, G, Angiulli, B, Auletta, P, Petraroli, E, Iodice, C, Agrusta, M, Vaccaro O., Masulli M., Nicolucci A., Bonora E., Del Prato S., Maggioni A. P., Rivellese A. A., Squatrito S., Giorda C. B., Sesti G., Mocarelli P., Lucisano G., Sacco M., Signorini S., Cappellini F., Perriello G., Babini A. C., Lapolla A., Gregori G., Giordano C., Corsi L., Buzzetti R., Clemente G., Di Cianni G., Iannarelli R., Cordera R., La Macchia O., Zamboni C., Scaranna C., Boemi M., Iovine C., Lauro D., Leotta S., Dall'Aglio E., Cannarsa E., Tonutti L., Pugliese G., Bossi A. C., Anichini R., Dotta F., Di Benedetto A., Citro G., Antenucci D., Ricci L., Giorgino F., Santini C., Gnasso A., De Cosmo S., Zavaroni D., Vedovato M., Consoli A., Calabrese M., di Bartolo P., Fornengo P., Riccardi G., D'Angelo F., Giansanti R., Tanase L., Lanari L., Testa I., Pancani F., Ranchelli A., Vagheggi P., Scatona A., Fontana L., Laviola L., Tarantino L., Ippolito C., Gigantelli V., Manicone M., Conte E., Trevisan R., Rota R., Dodesini A. R., Reggiani G. M., Montesi L., Mazzella N., Forlani G., Caselli C., Di Luzio R., Mazzotti A., Aiello A., Barrea A., Musto A., D'Amico F., Sinagra T., Longhitano S., Trowpea V., Sparti M., Italia S., Lisi E., Grasso G., Pezzino V., Insalaco F., Carallo C., Scicchitano C., De Franceschi M. S., Calbucci G., Ripani R., Cuneo G., Corsi S., Romeo F., Lesina A., Comoglio M., Bonetto C., Robusto A., Nada E., Asprino V., Cetraro R., Impieri M., Lucchese G., Donnarumma G., Tizio B., Lenza L., Paraggio P., Tomasi F., Dozio N., Scalambra E., Mannucci E., Lamanna C., Cignarelli M., Macchia O. L., Fariello S., Sorrentino M. R., Franzetti I., Radin R., Annunziata F., Bonabello L. A., Durante A., Dolcino M., Gallo F., Mazzucchelli C., Aleo A., Melga P., Briatore L., Maggi D., Storace D., Cecoli F., D'Ugo E., Pupillo M., Baldassarre M. P. A., Salvati F., Minnucci A., De Luca A., Zugaro A., Santarelli L., Bosco A., Petrella V., La Verghetta G. G., D'Andrea S., Giuliani A. E., Polidoro W. L., Sperandio A., Sciarretta F., Pezzella A., Carlone A., Potenziani S., Venditti C., Foffi C., Carbone S., Cipolloni L., Moretti C., Leto G., Serra R., Petrachi F., Romano I., Lacaria E., Russo L., Goretti C., Sannino C., Dolci M., Bruselli L., Mori M. L., Baccetti F., Del Freo M., Cucinotta D., Giunta L., Ruffo M. C., Cannizzaro D., Pintaudi B., Perrone G., Pata P., Ragonese F., Lettina G., Mancuso T., Coppolino A., Piatti P. M., Monti L., Stuccillo M., Lucotti P., Setola M., Crippa G. V., Loi C., Oldani M., Bottalico M. L., Pellegata B., Bonomo M., Menicatti L. S. M., Resi V., Bertuzzi F., Disoteo E. O., Pizzi G., Annuzzi G., Capaldo B., Nappo R., Auciello S. M., Turco A. A., Costagliola L., Corte G. D., Vallefuoco P., Nappi F., Vitale M., Cocozza S., Ciano O., Massimino E., Garofalo N., Avogaro A., Guarneri G., Fedele D., Sartore G., Chilelli N. C., Burlina S., Bonsembiante B., Galluzzo A., Torregrossa V., Mancastroppa G., Arsenio L., Cioni F., Caronna S., Papi M., Santeusanio F., Calagreti G., Timi A., Tantucci A., Marino C., Ginestra F., Di Biagio R., Taraborelli M., Miccoli R., Bianchi C., Garofolo M., Politi K. S., Penno G., Livraga S., Calzoni F., Mancastroppa G. L. F., Corsini E., Tedeschi A., Gagliano M. S., Ippolito G., Salutini E., Cervellino F., Natale M., Salvatore V., Zampino A., Sinisi R., Arcangeli A., Zogheri A., Guizzotti S., Longo R., Pellicano F., Scolozzi P., Termine S., Luberto A., Ballardini G., Trojani C., Mazzuca P., Bruglia M., Ciamei M., Genghini S., Zannoni C., Rangel G., Salvi L., Zappaterreno A., Cordone S., Simonelli P., Meggiorini M., Frasheri A., Di Pippo C., Maglio C., Mazzitelli G., Rinaldi M. E., Galli A., Romano M., D'Angelo P., Suraci C., Bacci S., Palena A. P., Genovese S., Mancino M., Rondinelli M., Capone F., Calabretto E., Bulgheroni M., Bucciarelli L., Ceccarelli E., Fondelli C., Santacroce C., Guarino E., Nigi L., Lalli C., Di Vizia G., Scarponi M., Montani V., Di Bernardino P., Romagni P., Dolcetti K., Forte E., Tamburo L., Perin P. C., Prinzis T., Gruden G., Bruno G., Zucco C., Perotta M., Marena S., Monsignore S., Panero F., Ponzi F., Carpinteri R., Casagrande M. L., Coletti M. F., Balini A., Filopanti M., Madaschi S., Pulcina A., Grimaldi F., Venturini G., Agus S., Pagnutti S., Guidotti F., Cavarape A., Cigolini M., Pichiri I., Brangani C., Fainelli G., Tomasetto E., Zoppini G., Galletti A., Perrone D., Capra C., Bianchini F., Ceseri M., Di Nardo B., Sasso E., Bartolomei B., Suliman I., Fabbri G., Romano G., Maturo N., Nunziata G., Capobianco G., De Simone G., Villa V., Rota G., Pentangelo C., Carbonara O., Caiazzo G., Cutolo M., Sorrentino T., Mastrilli V., Amelia U., Masi S., Corigliano G., Gaeta I., Armentano V., Calatola P., Capuano G., Angiulli B., Auletta P., Petraroli E., Iodice C. E., Agrusta M., Vaccaro, O, Masulli, M, Nicolucci, A, Bonora, E, Del Prato, S, Maggioni, A, Rivellese, A, Squatrito, S, Giorda, C, Sesti, G, Mocarelli, P, Lucisano, G, Sacco, M, Signorini, S, Cappellini, F, Perriello, G, Babini, A, Lapolla, A, Gregori, G, Giordano, C, Corsi, L, Buzzetti, R, Clemente, G, Di Cianni, G, Iannarelli, R, Cordera, R, La Macchia, O, Zamboni, C, Scaranna, C, Boemi, M, Iovine, C, Lauro, D, Leotta, S, Dall'Aglio, E, Cannarsa, E, Tonutti, L, Pugliese, G, Bossi, A, Anichini, R, Dotta, F, Di Benedetto, A, Citro, G, Antenucci, D, Ricci, L, Giorgino, F, Santini, C, Gnasso, A, De Cosmo, S, Zavaroni, D, Vedovato, M, Consoli, A, Calabrese, M, di Bartolo, P, Fornengo, P, Riccardi, G, D'Angelo, F, Giansanti, R, Tanase, L, Lanari, L, Testa, I, Pancani, F, Ranchelli, A, Vagheggi, P, Scatona, A, Fontana, L, Laviola, L, Tarantino, L, Ippolito, C, Gigantelli, V, Manicone, M, Conte, E, Trevisan, R, Rota, R, Dodesini, A, Reggiani, G, Montesi, L, Mazzella, N, Forlani, G, Caselli, C, Di Luzio, R, Mazzotti, A, Aiello, A, Barrea, A, Musto, A, D'Amico, F, Sinagra, T, Longhitano, S, Trowpea, V, Sparti, M, Italia, S, Lisi, E, Grasso, G, Pezzino, V, Insalaco, F, Carallo, C, Scicchitano, C, De Franceschi, M, Calbucci, G, Ripani, R, Cuneo, G, Corsi, S, Romeo, F, Lesina, A, Comoglio, M, Bonetto, C, Robusto, A, Nada, E, Asprino, V, Cetraro, R, Impieri, M, Lucchese, G, Donnarumma, G, Tizio, B, Lenza, L, Paraggio, P, Tomasi, F, Dozio, N, Scalambra, E, Mannucci, E, Lamanna, C, Cignarelli, M, Macchia, O, Fariello, S, Sorrentino, M, Franzetti, I, Radin, R, Annunziata, F, Bonabello, L, Durante, A, Dolcino, M, Gallo, F, Mazzucchelli, C, Aleo, A, Melga, P, Briatore, L, Maggi, D, Storace, D, Cecoli, F, D'Ugo, E, Pupillo, M, Baldassarre, M, Salvati, F, Minnucci, A, De Luca, A, Zugaro, A, Santarelli, L, Bosco, A, Petrella, V, La Verghetta, G, D'Andrea, S, Giuliani, A, Polidoro, W, Sperandio, A, Sciarretta, F, Pezzella, A, Carlone, A, Potenziani, S, Venditti, C, Foffi, C, Carbone, S, Cipolloni, L, Moretti, C, Leto, G, Serra, R, Petrachi, F, Romano, I, Lacaria, E, Russo, L, Goretti, C, Sannino, C, Dolci, M, Bruselli, L, Mori, M, Baccetti, F, Del Freo, M, Cucinotta, D, Giunta, L, Ruffo, M, Cannizzaro, D, Pintaudi, B, Perrone, G, Pata, P, Ragonese, F, Lettina, G, Mancuso, T, Coppolino, A, Piatti, P, Monti, L, Stuccillo, M, Lucotti, P, Setola, M, Crippa, G, Loi, C, Oldani, M, Bottalico, M, Pellegata, B, Bonomo, M, Menicatti, L, Resi, V, Bertuzzi, F, Disoteo, E, Pizzi, G, Annuzzi, G, Capaldo, B, Nappo, R, Auciello, S, Turco, A, Costagliola, L, Corte, G, Vallefuoco, P, Nappi, F, Vitale, M, Cocozza, S, Ciano, O, Massimino, E, Garofalo, N, Avogaro, A, Guarneri, G, Fedele, D, Sartore, G, Chilelli, N, Burlina, S, Bonsembiante, B, Galluzzo, A, Torregrossa, V, Mancastroppa, G, Arsenio, L, Cioni, F, Caronna, S, Papi, M, Santeusanio, F, Calagreti, G, Timi, A, Tantucci, A, Marino, C, Ginestra, F, Di Biagio, R, Taraborelli, M, Miccoli, R, Bianchi, C, Garofolo, M, Politi, K, Penno, G, Livraga, S, Calzoni, F, Corsini, E, Tedeschi, A, Gagliano, M, Ippolito, G, Salutini, E, Cervellino, F, Natale, M, Salvatore, V, Zampino, A, Sinisi, R, Arcangeli, A, Zogheri, A, Guizzotti, S, Longo, R, Pellicano, F, Scolozzi, P, Termine, S, Luberto, A, Ballardini, G, Trojani, C, Mazzuca, P, Bruglia, M, Ciamei, M, Genghini, S, Zannoni, C, Rangel, G, Salvi, L, Zappaterreno, A, Cordone, S, Simonelli, P, Meggiorini, M, Frasheri, A, Di Pippo, C, Maglio, C, Mazzitelli, G, Rinaldi, M, Galli, A, Romano, M, D'Angelo, P, Suraci, C, Bacci, S, Palena, A, Genovese, S, Mancino, M, Rondinelli, M, Capone, F, Calabretto, E, Bulgheroni, M, Bucciarelli, L, Ceccarelli, E, Fondelli, C, Santacroce, C, Guarino, E, Nigi, L, Lalli, C, Di Vizia, G, Scarponi, M, Montani, V, Di Bernardino, P, Romagni, P, Dolcetti, K, Forte, E, Tamburo, L, Perin, P, Prinzis, T, Gruden, G, Bruno, G, Zucco, C, Perotta, M, Marena, S, Monsignore, S, Panero, F, Ponzi, F, Carpinteri, R, Casagrande, M, Coletti, M, Balini, A, Filopanti, M, Madaschi, S, Pulcina, A, Grimaldi, F, Venturini, G, Agus, S, Pagnutti, S, Guidotti, F, Cavarape, A, Cigolini, M, Pichiri, I, Brangani, C, Fainelli, G, Tomasetto, E, Zoppini, G, Galletti, A, Perrone, D, Capra, C, Bianchini, F, Ceseri, M, Di Nardo, B, Sasso, E, Bartolomei, B, Suliman, I, Fabbri, G, Romano, G, Maturo, N, Nunziata, G, Capobianco, G, De Simone, G, Villa, V, Rota, G, Pentangelo, C, Carbonara, O, Caiazzo, G, Cutolo, M, Sorrentino, T, Mastrilli, V, Amelia, U, Masi, S, Corigliano, G, Gaeta, I, Armentano, V, Calatola, P, Capuano, G, Angiulli, B, Auletta, P, Petraroli, E, Iodice, C, Agrusta, M, Vaccaro O., Masulli M., Nicolucci A., Bonora E., Del Prato S., Maggioni A. P., Rivellese A. A., Squatrito S., Giorda C. B., Sesti G., Mocarelli P., Lucisano G., Sacco M., Signorini S., Cappellini F., Perriello G., Babini A. C., Lapolla A., Gregori G., Giordano C., Corsi L., Buzzetti R., Clemente G., Di Cianni G., Iannarelli R., Cordera R., La Macchia O., Zamboni C., Scaranna C., Boemi M., Iovine C., Lauro D., Leotta S., Dall'Aglio E., Cannarsa E., Tonutti L., Pugliese G., Bossi A. C., Anichini R., Dotta F., Di Benedetto A., Citro G., Antenucci D., Ricci L., Giorgino F., Santini C., Gnasso A., De Cosmo S., Zavaroni D., Vedovato M., Consoli A., Calabrese M., di Bartolo P., Fornengo P., Riccardi G., D'Angelo F., Giansanti R., Tanase L., Lanari L., Testa I., Pancani F., Ranchelli A., Vagheggi P., Scatona A., Fontana L., Laviola L., Tarantino L., Ippolito C., Gigantelli V., Manicone M., Conte E., Trevisan R., Rota R., Dodesini A. R., Reggiani G. M., Montesi L., Mazzella N., Forlani G., Caselli C., Di Luzio R., Mazzotti A., Aiello A., Barrea A., Musto A., D'Amico F., Sinagra T., Longhitano S., Trowpea V., Sparti M., Italia S., Lisi E., Grasso G., Pezzino V., Insalaco F., Carallo C., Scicchitano C., De Franceschi M. S., Calbucci G., Ripani R., Cuneo G., Corsi S., Romeo F., Lesina A., Comoglio M., Bonetto C., Robusto A., Nada E., Asprino V., Cetraro R., Impieri M., Lucchese G., Donnarumma G., Tizio B., Lenza L., Paraggio P., Tomasi F., Dozio N., Scalambra E., Mannucci E., Lamanna C., Cignarelli M., Macchia O. L., Fariello S., Sorrentino M. R., Franzetti I., Radin R., Annunziata F., Bonabello L. A., Durante A., Dolcino M., Gallo F., Mazzucchelli C., Aleo A., Melga P., Briatore L., Maggi D., Storace D., Cecoli F., D'Ugo E., Pupillo M., Baldassarre M. P. A., Salvati F., Minnucci A., De Luca A., Zugaro A., Santarelli L., Bosco A., Petrella V., La Verghetta G. G., D'Andrea S., Giuliani A. E., Polidoro W. L., Sperandio A., Sciarretta F., Pezzella A., Carlone A., Potenziani S., Venditti C., Foffi C., Carbone S., Cipolloni L., Moretti C., Leto G., Serra R., Petrachi F., Romano I., Lacaria E., Russo L., Goretti C., Sannino C., Dolci M., Bruselli L., Mori M. L., Baccetti F., Del Freo M., Cucinotta D., Giunta L., Ruffo M. C., Cannizzaro D., Pintaudi B., Perrone G., Pata P., Ragonese F., Lettina G., Mancuso T., Coppolino A., Piatti P. M., Monti L., Stuccillo M., Lucotti P., Setola M., Crippa G. V., Loi C., Oldani M., Bottalico M. L., Pellegata B., Bonomo M., Menicatti L. S. M., Resi V., Bertuzzi F., Disoteo E. O., Pizzi G., Annuzzi G., Capaldo B., Nappo R., Auciello S. M., Turco A. A., Costagliola L., Corte G. D., Vallefuoco P., Nappi F., Vitale M., Cocozza S., Ciano O., Massimino E., Garofalo N., Avogaro A., Guarneri G., Fedele D., Sartore G., Chilelli N. C., Burlina S., Bonsembiante B., Galluzzo A., Torregrossa V., Mancastroppa G., Arsenio L., Cioni F., Caronna S., Papi M., Santeusanio F., Calagreti G., Timi A., Tantucci A., Marino C., Ginestra F., Di Biagio R., Taraborelli M., Miccoli R., Bianchi C., Garofolo M., Politi K. S., Penno G., Livraga S., Calzoni F., Mancastroppa G. L. F., Corsini E., Tedeschi A., Gagliano M. S., Ippolito G., Salutini E., Cervellino F., Natale M., Salvatore V., Zampino A., Sinisi R., Arcangeli A., Zogheri A., Guizzotti S., Longo R., Pellicano F., Scolozzi P., Termine S., Luberto A., Ballardini G., Trojani C., Mazzuca P., Bruglia M., Ciamei M., Genghini S., Zannoni C., Rangel G., Salvi L., Zappaterreno A., Cordone S., Simonelli P., Meggiorini M., Frasheri A., Di Pippo C., Maglio C., Mazzitelli G., Rinaldi M. E., Galli A., Romano M., D'Angelo P., Suraci C., Bacci S., Palena A. P., Genovese S., Mancino M., Rondinelli M., Capone F., Calabretto E., Bulgheroni M., Bucciarelli L., Ceccarelli E., Fondelli C., Santacroce C., Guarino E., Nigi L., Lalli C., Di Vizia G., Scarponi M., Montani V., Di Bernardino P., Romagni P., Dolcetti K., Forte E., Tamburo L., Perin P. C., Prinzis T., Gruden G., Bruno G., Zucco C., Perotta M., Marena S., Monsignore S., Panero F., Ponzi F., Carpinteri R., Casagrande M. L., Coletti M. F., Balini A., Filopanti M., Madaschi S., Pulcina A., Grimaldi F., Venturini G., Agus S., Pagnutti S., Guidotti F., Cavarape A., Cigolini M., Pichiri I., Brangani C., Fainelli G., Tomasetto E., Zoppini G., Galletti A., Perrone D., Capra C., Bianchini F., Ceseri M., Di Nardo B., Sasso E., Bartolomei B., Suliman I., Fabbri G., Romano G., Maturo N., Nunziata G., Capobianco G., De Simone G., Villa V., Rota G., Pentangelo C., Carbonara O., Caiazzo G., Cutolo M., Sorrentino T., Mastrilli V., Amelia U., Masi S., Corigliano G., Gaeta I., Armentano V., Calatola P., Capuano G., Angiulli B., Auletta P., Petraroli E., Iodice C. E., and Agrusta M.

Abstract

Background The best treatment option for patients with type 2 diabetes in whom treatment with metformin alone fails to achieve adequate glycaemic control is debated. We aimed to compare the long-term effects of pioglitazone versus sulfonylureas, given in addition to metformin, on cardiovascular events in patients with type 2 diabetes. Methods TOSCA.IT was a multicentre, randomised, pragmatic clinical trial, in which patients aged 50–75 years with type 2 diabetes inadequately controlled with metformin monotherapy (2–3 g per day) were recruited from 57 diabetes clinics in Italy. Patients were randomly assigned (1:1), by permuted blocks randomisation (block size 10), stratified by site and previous cardiovascular events, to add-on pioglitazone (15–45 mg) or a sulfonylurea (5–15 mg glibenclamide, 2–6 mg glimepiride, or 30–120 mg gliclazide, in accordance with local practice). The trial was unblinded, but event adjudicators were unaware of treatment assignment. The primary outcome, assessed with a Cox proportional-hazards model, was a composite of first occurrence of all-cause death, non-fatal myocardial infarction, non-fatal stroke, or urgent coronary revascularisation, assessed in the modified intention-to-treat population (all randomly assigned participants with baseline data available and without any protocol violations in relation to inclusion or exclusion criteria). This study is registered with ClinicalTrials.gov, number NCT00700856. Findings Between Sept 18, 2008, and Jan 15, 2014, 3028 patients were randomly assigned and included in the analyses. 1535 were assigned to pioglitazone and 1493 to sulfonylureas (glibenclamide 24 [2%], glimepiride 723 [48%], gliclazide 745 [50%]). At baseline, 335 (11%) participants had a previous cardiovascular event. The study was stopped early on the basis of a futility analysis after a median follow-up of 57·3 months. The primary outcome occurred in 105 patients (1·5 per 100 person-years) who were given pioglitazone and 108 (1·5 p

Published
2017

8. Sex differences in food choices, adherence to dietary recommendations and plasma lipid profile in type 2 diabetes

Author

Vitale, M., Masulli, M., Cocozza, S., Anichini, R., Babini, A., Boemi, M., Bonora, E., Buzzetti, R., Carpinteri, R., Caselli, C., Ceccarelli, E., Cignarelli, M., Citro, G., Clemente, G., Consoli A, C., De Gregorio, A., Di Bartolo, P., Di Cianni, G., Fontana, L., Garofolo, M., Giorda, C., Giordano, C., Grioni, S., Iovine, C., Longhitano, S., Mancastroppa, G., Mazzucchelli, C., Montani, V., Mori, M., Perriello, G., Rinaldi, M., Ruffo, M., Salvi, L., Sartore, G., Scaranna, C., Tonutti, L., Zamboni, C., Zogheri, A., Krogh, V., Cappellini, F., Signorini, S., Riccardi, G., Vaccaro, O., IT Study Group, T., Vitale M1, Masulli M, Cocozza S, Anichini R, Babini AC, Boemi M, Bonora E, Buzzetti R, Carpinteri R, Caselli C, Ceccarelli E, Cignarelli M, Citro G, Clemente G, Consoli A, Corsi L, De Gregorio A, Di Bartolo P, Di Cianni G, Fontana L, Garofolo M, Giorda CB, Giordano C, Grioni S, Iovine C, Longhitano S, Mancastroppa G, Mazzucchelli C, Montani V, Mori M, Perriello G, Rinaldi ME, Ruffo MC, Salvi L, Sartore G, Scaranna C, Tonutti L, Zamboni C, Zogheri A, Krogh V, Cappellini F, Signorini S, Riccardi G, Vaccaro O, and TOSCA.IT Study Group.

Subjects
tosca,Diabetes,Dietary habits,Nutritional recommendations,Sex differences,Men,Women,Cardiovascular risk factors
Abstract

Background and aims Diabetic women have a more adverse plasma lipid profile than men. Sex differences in dietary habits may play a role, but are little investigated. The study evaluates the quality of diet, adherence to the nutritional recommendations of the Diabetes and Nutrition Study Group and their relation with plasma lipid in men and women with diabetes. Methods and results We studied 2573 people, aged 50–75, enrolled in the TOSCA.IT study (clinicaltrials.gov; NCT00700856). Plasma lipids were measured centrally. Diet was assessed with a semi-quantitative food frequency questionnaire. Women had a more adverse plasma lipid profile than men. Women consumed significantly more legumes, vegetables, fruits, eggs, milk, vegetable oils, and added sugar, whereas men consumed more starchy foods, soft drinks and alcoholic beverages. This stands for a higher proportion (%) of energy intake from saturated fat and added sugar (12.0 ± 2.4 vs 11.5 ± 2.5 and 3.4 ± 3.2 vs 2.3 ± 3.2, P < 0.04), and a higher intake of fiber (11.2 ± 2.8 vs 10.4 ± 2.6 g/1000 Kcal/day) in women. Adherence to the recommendations for saturated fat and fiber consumption was associated with significantly lower LDL-cholesterol regardless of sex. Adherence to the recommendations for added sugars was associated with significantly lower triglycerides and higher HDL-cholesterol in men and women. Conclusions Men and women with diabetes show significant differences in adherence to nutritional recommendations, but sex differences in plasma lipid profile are unlikely to be explained by nutritional factors. Adherence to the nutritional recommendations is associated with a better plasma lipid profile regardless of sex, thus reinforcing the importance of substituting saturated for unsaturated fat sources, increasing fiber and reducing added sugar intake.

Published
2016

9. Dietary intake and major food sources of polyphenols in people with type 2 diabetes: The TOSCA.IT Study

Author

Vitale, M., Masulli, M., Rivellese, A. A., Bonora, E., Cappellini, F., Nicolucci, Andrea, Squatrito, S., Antenucci, D., Barrea, A., Bianchi, C., Bianchini, F., Fontana, L., Fornengo, P., Giorgino, F., Gnasso, A., Mannucci, E., Mazzotti, A., Nappo, R., Palena, A. P., Pata, P., Perriello, G., Potenziani, S., Radin, R., Ricci, L., Romeo, F., Santini, C., Scarponi, M., Serra, Riccardo, Timi, A., Turco, A. A., Vedovato, M., Zavaroni, D., Grioni, S., Riccardi, G., Vaccaro, O., Rivellese, Angela Albarosa, Cocozza, Sara, Auciello, Stefania, Turco, Anna Amelia, Bonora, Enzo, Cigolini, Massimo, Pichiri, Isabella, Brangani, Corinna, Tomasetto, Elena, Perriello, Gabriele, Timi, Alessia, Squatrito, Sebastiano, Sinagra, Tiziana, Longhitano, Sara, Tropea, Vanessa, Ballardini, Giorgio, Babini, Anna Carla, Ripani, Raffaella, Gregori, Giovanna, Dolci, Maria, Bruselli, Laura, Salutini, Isabella, Mori, Mary, Baccetti, Fabio, Lapolla, Annunziata, Sartore, Giovanni, Burlina, Silvia, Chilelli, Nino Cristiano, Buzzetti, Raffaella, Venditti, Chiara, Potenziani, Stella, Carlone, Angela, Galluzzoâ€&nbsp, Aldo, Giordano, Carla, Torregrossa, Vittoria, Corsi, Laura, Cuneo, Giacomo, Corsi, Simona, Tizio, Biagio, Clemente, Gennaro, Citro, Giuseppe, Natale, Maria, Salvatore, Vita, Di Cianni, Graziano, Lacaria, Emilia, Russo, Laura, Iannarelli, Rossella, de Gregorio, Antonella, Sciarretta, Filomena, D’Andrea, Settimio, Montani, Valeria, Cannarsa, Emanuela, Dolcetti, Katia, Cordera, Renzo, Bonabello, Laura Affinito, Mazzucchelli, Chiara, Giorda, Carlo Bruno, Romeo, Francesco, Bonetto, Caterina, Antenucci, Daniela, Baldassarre, Maria Pompea Antonia, Iovine, Ciro, Nappo, Rossella, Ciano, Ornella, Dall’Aglio, Elisabetta, Mancastroppa, Giovanni, Grimaldi, Franco, Tonutti, Laura, Boemi, Massimo, D’Angelo, Federica, Leotta, Sergio, Fontana, Lucia, Lauro, Davide, Rinaldi, Maria Elena, Cignarelli, Mauro, la Macchia, Olga, Fariello, Stefania, Tomasi, Franco, Zamboni, Chiara, Dozio, Nicoletta, Trevisan, Roberto, Scaranna, Cristiana, Del Prato, Stefano, Miccoli, Roberto, Bianchi, Cristina, Garofolo, Monia, Pugliese, Giuseppe, Salvi, Laura, Rangel, Graziela, Vitale, Martina, Anichini, Roberto, Tedeschi, Anna, Corsini, Elisa, Cucinotta, Domenico, Di Benedetto, Antonino, Giunta, Loretta, Ruffo, Maria Concetta, Bossi, Antonio Carlo, Carpinter, Rita, Dotta, Francesco, Ceccarelli, Elena, Bartolo, Paolo Di, Caselli, Chiara, Luberto, Alessandra, Santini, Costanza, Mazzotti, Arianna, Calbucci, Giovanni, Consoli, Agostino, Ginestra, Federica, Calabrese, Maria, Zogheri, Alessia, Ricci, Lucia, Giorgino, Francesco, Laviola, Luigi, Ippolito, Claudia, Tarantino, Lucia, Avogaro, Angelo, Vedovato, Monica, Gnasso, Agostino, Carallo, Claudio, Scicchitano, Caterina, Zavaroni, Donatella, Livraga, Stefania, Perin, Paolo Cavallo, Forrnengo, Paolo, Prinzis, Tania, de Cosmo, Salvatore, Palena, Antonio Pio, Bacci, Simonetta, Mannucci, Edoardo, Lamanna, Caterina, Pata, Pietro, Lettina, Gabriele, Aiello, Antimo, Barrea, Angelina, Lalli, Carlo, Scarponi, Maura, Franzetti, Ivano, Radin, Raffaella, Serra, Rosalia, Petrachi, Francesca, Asprino, Vincenzo, Capra, Claudio, Forte, Elisa, Reggiani, Giulio Marchesini, Forlani, Gabriele, Montesi, Luca, Mazzella, Natalia, Piatti, Pier Marco, Monti, Lucilla, Stuccillo, Michela, Auletta, Pasquale, Petraroli, Ettore, Capobianco, Giuseppe, Romano, Geremia, Cutolo, Michele, de Simone, Giosetta, Caiazzo, Gennaro, Nunziata, Peppe, Sorrentino, Susy, Amelia, Umberto, Calatola, Pasqualino, Capuano, Gelsomina, Vitale, M, Masulli, M, Rivellese, AA, Bonora, E, Cappellini, F, Nicolucci, A, Squatrito, S, Antenucci, D, Barrea, A, Bianchi, C, Bianchini, F, Fontana, L, Fornengo,P, Giorgino, F, Gnasso, A, Mannucci, Mazzotti, A, Nappo, R, Palena, AP, Pata, P,Perriello, G, Potenziani, S, Radin, R, Ricci, L, Romeo, F, Santini, C, Scarponi, M, Serra, R, Timi, A, Turco, AA, Vedovato, M, Zavaroni, D, Grioni, S, Riccardi, G, Vaccaro, O, TOSCA.IT Study Group., Giordano, C., Rivellese, Aa, Fornengo, P, Mannucci, E, Mazzotti, A, Nappo, R, Palena, Ap, Pata, P, Perriello, G, Turco, Aa, Tosc, A. IT Study Group., Rivellese, A, Palena, A, Turco, A, Cocozza, S, Auciello, S, Cigolini, M, Pichiri, I, Brangani, C, Tomasetto, E, Sinagra, T, Longhitano, S, Tropea, V, Ballardini, G, Babini, A, Ripani, R, Gregori, G, Dolci, M, Bruselli, L, Salutini, I, Mori, M, Baccetti, F, Lapolla, A, Sartore, G, Burlina, S, Chilelli, N, Buzzetti, R, Venditti, C, Carlone, A, Galluzzo, A, Giordano, C, Torregrossa, V, Corsi, L, Cuneo, G, Corsi, S, Tizio, B, Galluzzo, G, Citro, G, Natale, M, Salvatore, V, Di Cianni, G, Lacaria, E, Russo, L, Iannarelli, R, De Gregorio, A, Sciarretta, F, D'Andrea, S, Montani, V, Cannarsa, E, Dolcetti, K, Cordera, R, Bonabello, L, Mazzucchelli, C, Giorda, C, Bonetto, C, Baldassarre, M, Iovine, C, Ciano, O, Dall'Aglio, E, Mancastroppa, G, Grimaldi, F, Tonutti, L, Boemi, M, D'Angelo, F, Leotta, S, Lauro, D, Rinaldi, M, Cignarelli, M, La Macchia, O, Fariello, S, Tomasi, F, Zamboni, C, Dozio, N, Trevisan, R, Scaranna, C, Del Prato, S, Miccoli, R, Garofolo, M, Pugliese, G, Salvi, L, Rangel, G, Anichini, R, Tedeschi, A, Corsini, E, Cucinotta, D, Di Benedetto, A, Giunta, L, Ruffo, M, Bossi, A, Carpinter, R, Dotta, F, Ceccarelli, E, Bartolo, P, Caselli, C, Luberto, A, Calbucci, G, Consoli, A, Ginestra, F, Calabrese, M, Zogheri, A, Laviola, L, Ippolito, C, Tarantino, L, Avogaro, A, Carallo, C, Scicchitano, C, Livraga, S, Perin, P, Forrnengo, P, Prinzis, T, De Cosmo, S, Bacci, S, Lamanna, C, Lettina, G, Aiello, A, Lalli, C, Franzetti, I, Petrachi, F, Asprino, V, Capra, C, Forte, E, Reggiani, G, Forlani, G, Montesi, L, Mazzella, N, Piatti, P, Monti, L, Stuccillo, M, Auletta, P, Petraroli, E, Capobianco, G, Romano, G, Cutolo, M, De Simone, G, Caiazzo, G, Nunziata, P, Sorrentino, S, Amelia, U, Calatola, P, and Capuano, G

Subjects
0301 basic medicine, Male, Age, BMI, Diabetes, Diet, Flavonoids, Food groups, Geographical area, Intake, Phenolic acids, Polyphenols, TOSCA.IT study, Aged, Antioxidants, Beverages, Cinnamates, Cohort Studies, Cross-Sectional Studies, Databases, Factual, Diabetes Mellitus, Type 2, Female, Flavonoids, Fruit, Glycosides, Humans, Italy, Male, Middle Aged, Nutritive Value, Phenols, Polyphenols, Diet, Diabetic, Diet, Healthy, Patient Compliance, Settore MED/09 - Medicina Interna, Databases, Factual, Cross-sectional study, Medicine (miscellaneous), Type 2 diabetes, Diabete, Antioxidants, Settore MED/13 - Endocrinologia, Food group, Cohort Studies, 0302 clinical medicine, Diet, Diabetic, Medicine, Food science, Glycosides, Age, BMI, Diabetes, Diet, Flavonoids, Food groups, Geographical area, Intake, Phenolic acids, Polyphenols, TOSCA.IT study, Nutrition and Dietetics, Phenolic acid, food and beverages, Middle Aged, Polyphenols, Flavonoids, Phenolic acids, Diabetes, Food groups, Diet, Age, BMI, Geographical area, Intake, TOSCA.IT study, Italy, Tosca,Age,BMI,Diabetes,Diet,Flavonoids,Food groups,Geographical area,Intake,Phenolic acids,Polyphenols,TOSCA.IT study, Cohort, Female, Diet, Healthy, Nutritive Value, Cohort study, Polyphenol, 030209 endocrinology & metabolism, Beverages, 03 medical and health sciences, Phenols, Diabetes mellitus, Humans, Aged, 030109 nutrition & dietetics, business.industry, Anthropometry, medicine.disease, Tosca, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Cinnamates, Fruit, Flavonoid, Patient Compliance, business
Abstract

Purpose: Proper evaluation of polyphenols intake at the population level is a necessary step in order to establish possible associations with health outcomes. Available data are limited, and so far no study has been performed in people with diabetes. The aim of this work was to document the intake of polyphenols and their major food sources in a cohort of people with type 2 diabetes and in socio-demographic subgroups. Methods: We studied 2573 men and women aged 50–75 years. Among others, anthropometry was measured by standard protocol and dietary habits were investigated by food frequency questionnaire (EPIC). The intake of polyphenols was evaluated using US Department of Agriculture and Phenol-Explorer databases. Results: The mean total polyphenol intake was 683.3 ± 5.8 mg/day. Non-alcoholic beverages represented the main food source of dietary polyphenols and provided 35.5% of total polyphenol intake, followed by fruits (23.0%), alcoholic beverages (14.0%), vegetables (12.4%), cereal products and tubers (4.6%), legumes (3.7%) and oils (2.1%); chocolate, cakes and nuts are negligible sources of polyphenols in this cohort. The two most important polyphenol classes contributing to the total intake were flavonoids (47.5%) and phenolic acids (47.4%). Polyphenol intake increased with age and education level and decreased with BMI; furthermore, in the northern regions of Italy, the polyphenol intake was slightly, but significantly higher than in the central or southern regions. Conclusions: The study documents for the first time the intake of polyphenols and their main food sources in people with diabetes using validated and complete databases of the polyphenol content of food. Compared with published data, collected in people without diabetes, these results suggest a lower intake and a different pattern of intake in people with diabetes. © 2016 Springer-Verlag Berlin Heidelberg

Published
2016
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11. The development of autoverification rules applied to urinalysis performed on the AutionMAX-SediMAX platform

Author

Palmieri, R, Falbo, R, Cappellini, F, Soldi, C, Limonta, G, Brambilla, P, Palmieri, Rita, FALBO, ROSANNA, CAPPELLINI, FABRIZIO, Soldi, Cristina, LIMONTA, GIUSEPPE, Brambilla, Paolo, Palmieri, R, Falbo, R, Cappellini, F, Soldi, C, Limonta, G, Brambilla, P, Palmieri, Rita, FALBO, ROSANNA, CAPPELLINI, FABRIZIO, Soldi, Cristina, LIMONTA, GIUSEPPE, and Brambilla, Paolo

Abstract

Background: Fully automated urine analyzers integrated with expert software can help to select samples that need review in routine clinical laboratory. This study aimed to define review rules to be set in the expert software Director for routine urinalysis on the AutionMAX-SediMAX platform. Methods: A set of 1002 urinalysis data randomly extracted from the daily routine was used. The blind on-screen assessment was used as a reference. The data set was used to optimize the standard rules preset in the software to establish review criteria useful to intercept automated microscopy misidentification and particles suggestive of clinically significant profile. The review rate was calculated. The rules-set was also evaluated for the selection of clinically significant samples. Results: The review rules established were cross-checked between AutionMAX and SediMAX parameters, element reporting by SediMAX and strip results. For the complete rules-set the review rate was 47.6% and the efficiency for clinically significant sample selection was 58%. Finally, on the basis of the review rules an algorithm for routine practice was created. Conclusions: Review rules applied to the algorithm for routine practice enhance workflow efficiency and optimize sample screening. Revision is not necessary for samples not flagged by the rules.

Published
2018

12. Genotoxicity of TiO2 nanoparticles assessed by mini-gel comet assay and micronucleus scoring with flow cytometry

Author

Di Bucchianico, S., Cappellini, F., Le Bihanic, F., Zhang, Yuning, Dreij, K., Karlsson, H. L., Di Bucchianico, S., Cappellini, F., Le Bihanic, F., Zhang, Yuning, Dreij, K., and Karlsson, H. L.

Abstract

The widespread production and use of nanoparticles calls for faster and more reliable methods to assess their safety. The main aim of this study was to investigate the genotoxicity of three reference TiO2 nanomaterials (NM) within the frame of the FP7-NANoREG project, with a particular focus on testing the applicability of mini-gel comet assay and micronucleus (MN) scoring by flow cytometry. BEAS-2B cells cultured under serum-free conditions were exposed to NM100 (anatase, 50-150 nm), NM101 (anatase, 5-8 nm) and NM103 (rutile, 20-28 nm) for 3, 24 or 48 h mainly at concentrations 1-30 μg/ml. In the mini-gel comet assay (eight gels per slide), we included analysis of (i) DNA strand breaks, (ii) oxidised bases (Fpg-sensitive sites) and (iii) light-induced DNA damage due to photocatalytic activity. Furthermore, MN assays were used and we compared the results of more high-throughput MN scoring with flow cytometry to that of cytokinesis-block MN cytome assay scored manually using a microscope. Various methods were used to assess cytotoxic effects and the results showed in general no or low effects at the doses tested. A weak genotoxic effect of the tested TiO2 materials was observed with an induction of oxidised bases for all three materials of which NM100 was the most potent. When the comet slides were briefly exposed to lab light, a clear induction of DNA strand breaks was observed for the anatase materials, but not for the rutile. This highlights the risk of false positives when testing photocatalytically active materials if light is not properly avoided. A slight increase in MN formation for NM103 was observed in the different MN assays at the lower doses tested (1 and 5 μg/ml). We conclude that mini-gel comet assay and MN scoring using flow cytometry successfully can be used to efficiently study cytotoxic and genotoxic properties of nanoparticles., Correspondence Address: Karlsson, H.L.; Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Sweden; email: Hanna.L.Karlsson@ki.se. QC 20170306

Published
2017
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13. Improvement in the detection of enteric protozoa from clinical stool samples using the automated urine sediment analyzer sediMAX® 2 compared to sediMAX® 1

Author

Intra, J, Sala, M, Falbo, R, Cappellini, F, Brambilla, P, BRAMBILLA, PAOLO, Intra, J, Sala, M, Falbo, R, Cappellini, F, Brambilla, P, and BRAMBILLA, PAOLO

Abstract

Detection of intestinal parasites from fecal samples is routinely performed by direct wet mount examination. This method requires skilled personnel, and it is time consuming. The aim of this work is to demonstrate the usefulness of the newer automated urinary sediment analyser sediMAX 2 for a fast detection of intestinal protozoa in stool samples. A total of 700 consecutively preserved samples consisting of 70 positives and 630 negatives were analyzed. SediMAX 2 takes digital images of each sediment sample, and analysis was conducted using a dilution of stool specimens, allowing determination of typical morphology. Compared to manual microscopy, sediMAX 2 showed sensitivity and specificity of 100 % in the detection of intestinal parasites, as also recently demonstrated for sediMAX 1. However, all clinically important human protozoa were detected using only 15 images for each specimen, compared to 30 images required in sediMAX 1 analysis. Moreover, changing manually the focus, it is possible to carry out a discrimination between morphologically identical Entamoeba complex members, including the pathogenic E. histolytica and the non-pathogenic E. dispar, E. moshkovskii and E. Bangladeshi, from the non-pathogenic Entamoeba coli based on the number of nuclei present in the cells. This study presents sediMAX 2 as an automatic aid to traditional microscopy.

Published
2017

14. Addition of either pioglitazone or a sulfonylurea in type 2 diabetic patients inadequately controlled with metformin alone: impact on cardiovascular events. A randomized controlled trial

Author

Vaccaro, O, Masulli, M, Bonora, E, Del Prato, S, Giorda, Cb, Maggioni, Ap, Mocarelli, P, Nicolucci, A, Rivellese, Aa, Squatrito, S, Riccardi, G, IT study group, T. O. S. C. A., Sud, Cm, Imbaro, S, Garofalo, N, Ferrannini, E, Howard, B, Gerdts, E, Imperatore, G, Tavazzi, L, Pellegrini, F, Fabbri, G, Levantesi, G, Turazza, F, Gentile, S, Panico, S, Brambilla, P, Signorini, S, Cappellini, F, Parma, C, D'Alonzo, D, Di Nardo, B, Ferrari, S, Franciosi, M, Pecce, R, Valentini, M, Ceseri, M, Bianchini, F, Baldini, E, Atzori, A, Boemi, M, D'Angelo, F, Giansanti, R, Ricci, L, Ranchelli, A, Di Berardino, P, Cannarsa, E, Giorgino, F, Manicone, M, Tarantino, L, Trevisan, R, Scaranna, C, Forlani, G, Montesi, L, Aiello, A, Barrea, A, Sinagra, T, Longhitano, S, Sesti, G, Gnasso, A, Carallo, C, Scicchitano, C, Santini, C, Calbucci, G, Ripani, R, Corsi, L, Corsi, S, Romeo, F, Asprino, V, Donnarumma, G, Tizio, B, Clemente, G, Tomasi, F, Dozio, N, Mannucci, E, Lamanna, C, Cignarelli, M, Macchia, Ol, Fariello, S, Cordera, R, Mazzucchelli, C, Pupillo, M, Zugaro, A, Bosco, A, De Luca, A, Iannarelli, R, Giuliani, A, Polidoro, L, Sperandio, A, Sciarretta, F, Raffaella, B, Venditti, C, Di Cianni, G, Goretti, C, Dolci, Ma, Bruselli, L, Mori, M, Baccetti, F, Gregori, G, Venezia, A, Cucinotta, D, Pintaudi, B, Ragonese, F, Pata, P, Piatti, Pm, Luccotti, P, Orsi, E, Bonomo, M, Menicatti, L, Turco, Aa, Ciano, O, Vallefuoco, P, Corigliano, G, Pentangelo, C, Petraroli, E, Auletta, P, Carbonara, O, Capobianco, G, Caiazzo, G, Angiulli, B, De Simone, G, Michele, C, Mastrilli, V, Nunziata, G, Romano, G, Gaeta, I, Sorrentino, T, Iovine, C, Nappi, F, Paolisso, G, Rizzo, Mr, Avogaro, A, Vedovato, M, Lapolla, A, Sartore, G, Burlina, S, Chilelli, Nc, Galluzzoy, A, Giordano, C, Torregrossa, V, Arsenio, L, Dall'Aglio, E, Cioni, F, Babini, M, Moncastroppa, G, Perriello, G, Timi, A, Consoli, A, Ginestra, F, Zavaroni, D, Calzoni, F, Miccoli, R, Bianchi, C, Politi, S, Anichini, R, Tedeschi, A, Citro, G, Zampino, A, Rosa, S, Natale, M, Giocoli, Cl, Caruso, E, Tramontano, L, Imbroinise, A, Perna, Cd, Calabrese, M, Zogheri, A, Luberto, A, Ballardini, G, Babini, Ac, Zannoni, C, Pugliese, G, Salvi, L, Mazzitelli, G, Zappaterreno, A, Frontoni, S, Ventricini, A, Lauro, D, Galli, A, Rinaldi, Me, Leotta, S, Fontana, L, Goretti, S, Pozzilli, P, Leonetti, F, Morano, S, Filetti, S, Cosmo, Sd, Bacci, S, Palena, Ap, Calatola, P, Capuano, G, Amelia, U, Dotta, Francesco, Guarino, E, Ceccarelli, E, Lalli, C, Scarponi, M, Forte, E, Potenziani, S, Perin, Pc, Marena, S, Zucco, C, Perotto, M, Bossi, A, Filopanti, M, Grimaldi, F, Tonutti, L, Cavarape, A, Cigolini, M, Pichiri, I, Brangani, C, Tomasetto, E, Capra, C, Cigolini, M., Vaccaro, O1, Masulli, M, Bonora, E, Del Prato, S, Giorda, Cb, Maggioni, Ap, Mocarelli, P, Nicolucci, A, Rivellese, Aa, Squatrito, S, Riccardi, G, Collaborators Riccardi G, T. O. S. C. A. IT study g. r. o. u. p., Sud, Cm, Imbaro, S, Vaccaro, O, Garofalo, N, Ferrannini, E, Howard, B, Gerdts, E, Imperatore, G, Tavazzi, L, Pellegrini, F, Fabbri, G, Levantesi, G, Turazza, F, Gentile, Sandro, Panico, S, Brambilla, P, Signorini, S, Cappellini, F, Parma, C, D'Alonzo, D, Di Nardo, B, Ferrari, S, Franciosi, M, Pecce, R, Valentini, M, Ceseri, M, Bianchini, F, Baldini, E, Atzori, A, Boemi, M, D'Angelo, F, Giansanti, R, Ricci, L, Ranchelli, A, Di Berardino, P, Cannarsa, E, Giorgino, F, Manicone, M, Tarantino, L, Trevisan, R, Scaranna, C, Forlani, G, Montesi, L, Aiello, A, Barrea, A, Sinagra, T, Longhitano, S, Sesti, G, Gnasso, A, Carallo, C, Scicchitano, C, Santini, C, Calbucci, G, Ripani, R, Corsi, L, Corsi, S, Romeo, F, Asprino, V, Donnarumma, G, Tizio, B, Clemente, G, Tomasi, F, Dozio, N, Mannucci, E, Lamanna, C, Cignarelli, M, Macchia, Ol, Fariello, S, Cordera, R, Mazzucchelli, C, Pupillo, M, Zugaro, A, Bosco, A, De Luca, A, Iannarelli, R, Giuliani, A, Polidoro, L, Sperandio, A, Sciarretta, F, Raffaella, B, Venditti, C, Di Cianni, G, Goretti, C, Dolci, Ma, Bruselli, L, Mori, M, Baccetti, F, Gregori, G, Venezia, A, Cucinotta, D, Pintaudi, B, Ragonese, F, Pata, P, Piatti, Pm, Luccotti, P, Orsi, E, Bonomo, M, Menicatti, L, Turco, Aa, Ciano, O, Vallefuoco, P, Corigliano, G, Pentangelo, C, Petraroli, E, Auletta, P, Carbonara, O, Capobianco, G, Caiazzo, G, Angiulli, B, De Simone, G, Michele, C, Mastrilli, V, Nunziata, G, Romano, G, Gaeta, I, Sorrentino, T, Iovine, C, Nappi, F, Paolisso, Giuseppe, Rizzo, Maria Rosaria, Avogaro, A, Vedovato, M, Lapolla, A, Sartore, G, Burlina, S, Chilelli, Nc, Galluzzoy, A, Giordano, C, Torregrossa, V, Arsenio, L, Dall'Aglio, E, Cioni, F, Babini, M, Moncastroppa, G, Perriello, G, Timi, A, Consoli, A, Ginestra, F, Zavaroni, D, Calzoni, F, Miccoli, R, Bianchi, C, Politi, S, Anichini, R, Tedeschi, A, Citro, G, Zampino, A, Rosa, S, Natale, M, Giocoli, Cl, Caruso, E, Tramontano, L, Imbroinise, A, Perna, Cd, Calabrese, M, Zogheri, A, Luberto, A, Ballardini, G, Babini, Ac, Zannoni, C, Pugliese, G, Salvi, L, Mazzitelli, G, Zappaterreno, A, Frontoni, S, Ventricini, A, Lauro, D, Galli, A, Rinaldi, Me, Leotta, S, Fontana, L, Goretti, S, Pozzilli, P, Leonetti, F, Morano, S, Filetti, S, Cosmo, Sd, Bacci, S, Palena, Ap, Calatola, P, Capuano, G, Amelia, U, Dotta, F, Guarino, E, Ceccarelli, E, Lalli, C, Scarponi, M, Forte, E, Potenziani, S, Perin, Pc, Marena, S, Zucco, C, Perotto, M, Bossi, A, Filopanti, M, Grimaldi, F, Tonutti, L, Cavarape, A, Cigolini, M, Pichiri, I, Brangani, C, Tomasetto, E, Capra, C, Cigolini M., Author information, Vaccaro, Olga, Masulli, Maria, Rivellese, ANGELA ALBAROSA, Riccardi, Gabriele, Giorda, C, Maggioni, A, Rivellese, A, Giorda, CB, Maggioni, AP, and Rivellese, AA

Subjects
Blood Glucose, Male, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Endocrinology, Diabetes and Metabolism, pioglitazone, sulfonylurea, type 2 diabetes, metformin, cardiovascular events, Medicine (miscellaneous), Type 2 diabetes, Settore MED/13 - Endocrinologia, Body Mass Index, law.invention, Randomized controlled trial, Risk Factors, law, Surveys and Questionnaires, Cardiovascular Disease, pioglitazone, piogllitazone, Stroke, Diabetes, Therapy, Pioglitazone, Nutrition and Dietetics, Diabetes, Thiazolidinedione, cardiovascular events, Type 2 Diabetes Mellitus, sulphonylureas, Middle Aged, Metformin, Sulfonylurea Compound, Treatment Outcome, Tolerability, Cardiovascular Diseases, Drug Therapy, Combination, Female, type 2 diabetes, Cardiology and Cardiovascular Medicine, Human, medicine.drug, medicine.medical_specialty, Endpoint Determination, sulfonylurea, cardiovascualr event, Sudden death, Follow-Up Studie, Internal medicine, Diabetes mellitus, medicine, Humans, Hypoglycemic Agents, sulfonylureas, interventio trial, randomized controlled trial, Aged, Hypoglycemic Agent, Questionnaire, business.industry, Risk Factor, medicine.disease, Surgery, Sulfonylurea Compounds, Diabetes Mellitus, Type 2, Quality of Life, Thiazolidinediones, Therapy, business, metformin, Pioglitazone, Follow-Up Studies
Abstract

Background and aims Metformin is the first-line therapy in type 2 diabetes. In patients inadequately controlled with metformin, the addition of a sulfonylurea or pioglitazone are equally plausible options to improve glycemic control. However, these drugs have profound differences in their mechanism of action, side effects, and impact on cardiovascular risk factors. A formal comparison of these two therapies in terms of cardiovascular morbidity and mortality is lacking. The TOSCA.IT study was designed to explore the effects of adding pioglitazone or a sulfonylurea on cardiovascular events in type 2 diabetic patients inadequately controlled with metformin. Methods Multicentre, randomized, open label, parallel group trial of 48 month duration. Type 2 diabetic subjects, 50–75 years, BMI 20–45 Kg/m 2 , on secondary failure to metformin monotherapy will be randomized to add-on a sulfonylurea or pioglitazone. The primary efficacy outcome is a composite endpoint of all-cause mortality, nonfatal myocardial infarction, nonfatal stroke, and unplanned coronary revascularization. Principal secondary outcome is a composite ischemic endpoint of sudden death, fatal and non-fatal myocardial infarction and stroke, endovascular or surgical intervention on the coronary, leg or carotid arteries, major amputations. Side effects, quality of life and economic costs will also be evaluated. Efficacy, safety, tolerability, and study conduct will be monitored by an independent Data Safety Monitoring Board. End points will be adjudicated by an independent external committee. Conclusions TOSCA.IT is the first on-going study investigating the head-to-head comparison of adding a sulfonylurea or pioglitazone to existing metformin treatment in terms of hard cardiovascular outcomes. Registration: Clinicaltrials.gov ID NCT00700856.

Published
2012

15. Electrochemical surface oxide characteristics of metal nanoparticles (Mn, Cu and Al) and the relation to toxicity

Author

Hedberg, Yolanda S., Pradhan, Sulena, Cappellini, F., Karlsson, Maria-Elisa, Blomberg, Eva, Karlsson, H. L., Odnevall Wallinder, Inger, Hedberg, Jonas F., Hedberg, Yolanda S., Pradhan, Sulena, Cappellini, F., Karlsson, Maria-Elisa, Blomberg, Eva, Karlsson, H. L., Odnevall Wallinder, Inger, and Hedberg, Jonas F.

Abstract

Most metal nanoparticles (NPs), except noble metal NPs, rapidly form a thin surface oxide in ambient conditions. The protective properties of these oxides improve or worsen depending on the environment, e.g., the human lung. Several properties, including the chemical/electrochemical stability and defect density, determine the capacity of these surface oxides to hinder the bulk metal from further oxidation (corrosion). The aim of this study was to investigate whether electrochemical surface oxide characterization of non-functionalized base metal NPs of different characteristics (Al, Mn and Cu) can assist in understanding their bioaccessibility (metal release) in cell media (DMEM+) and their cytotoxic properties following exposure in lung epithelial (A549) cells. The composition and valence states of surface oxides of metal NPs and their electrochemical activity were investigated using an electrochemical technique based on a graphite paste electrode to perform cyclic voltammetry in buffer solutions and open circuit potential measurements in DMEM+. The electrochemical surface oxide characterization was complemented and verified by Raman spectroscopy, X-ray diffraction, and X-ray photoelectron spectroscopy. The open circuit potential trends in DMEM+ correlated well with metal release results in the same solution, and provided information on the kinetics of oxide dissolution in the case of Cu NPs. Extensive particle agglomeration in cell medium (DMEM+) was observed by means of photon-cross correlation spectroscopy for all metal NPs, with sedimentation taking place very quickly. As a consequence, measurements of the real dose of added non-functionalized metal NPs to cell cultures for cytotoxicity testing from a sonicated stock solution were shown necessary. The cytotoxic response was found to be strongly correlated to changes in physico-chemical and electrochemical properties of the surface oxides of the metal NPs, the most potent being Cu NPs, followed by Mn NPs. No cyto, QC 20160930

Published
2016
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16. Reducing time to identification of aerobic bacteria and fastidious micro-organisms in positive blood cultures

Author

Intra, J, Sala, M, Falbo, R, Cappellini, F, Brambilla, P, BRAMBILLA, PAOLO, Intra, J, Sala, M, Falbo, R, Cappellini, F, Brambilla, P, and BRAMBILLA, PAOLO

Abstract

Rapid and early identification of micro-organisms in blood has a key role in the diagnosis of a febrile patient, in particular, in guiding the clinician to define the correct antibiotic therapy. This study presents a simple and very fast method with high performances for identifying bacteria by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) after only 4 h of incubation. We used early bacterial growth on PolyViteX chocolate agar plates inoculated with five drops of blood-broth medium deposited in the same point and spread with a sterile loop, followed by a direct transfer procedure on MALDI-TOF MS target slides without additional modification. Ninety-nine percentage of aerobic bacteria were correctly identified from 600 monomicrobial-positive blood cultures. This procedure allowed obtaining the correct identification of fastidious pathogens, such as Streptococcus pneumoniae, Neisseria meningitidis and Haemophilus influenzae that need complex nutritional and environmental requirements in order to grow. Compared to the traditional pathogen identification from blood cultures that takes over 24 h, the reliability of results, rapid performance and suitability of this protocol allowed a more rapid administration of optimal antimicrobial treatment in the patients. Significance and Impact of the Study: Bloodstream infections are serious conditions with a high mortality and morbidity rate. Rapid identification of pathogens and appropriate antimicrobial therapy have a key role for successful patient outcome. In this work, we developed a rapid, simplified, accurate, and efficient method, reaching 99 % identification of aerobic bacteria from monomicrobial-positive blood cultures by using early growth on enriched medium, direct transfer to target plate without additional procedures, matrix-assisted laser desorption ionization-time of flight mass spectrometry and SARAMIS database. The application of this protocol allows to anticipate ap

Published
2016

17. Detection of intestinal parasites by use of the cuvette-based automated microscopy analyser sediMAX®

Author

Intra, J, Taverna, E, Sala, M, Falbo, R, Cappellini, F, Brambilla, P, Sala, MR, BRAMBILLA, PAOLO, Intra, J, Taverna, E, Sala, M, Falbo, R, Cappellini, F, Brambilla, P, Sala, MR, and BRAMBILLA, PAOLO

Abstract

Microscopy is the reference method for intestinal parasite identification. The cuvette-based automated microscopy analyser, sediMAX 1, provides 15 digital images of each sediment sample. In this study, we have evaluated this fully automated instrument for detection of enteric parasites, helminths and protozoa. A total of 700 consecutively preserved samples consisting of 60 positive samples (50 protozoa, ten helminths) and 640 negative samples were analysed. Operators were blinded to each others' results. Samples were randomized and were tested both by manual microscopy and sediMAX 1 for parasite recognition. The sediMAX 1 analysis was conducted using a dilution of faecal samples, allowing determination of morphology. The data obtained using sediMAX 1 showed a specificity of 100% and a sensitivity of 100%. Some species of helminths, such as Enterobius vermicularis, Strongyloides stercolaris, the Ancylostoma duodenale/Necator americanus complex, and schistosomes were not considered in this work, because they are rare in stool specimens, are not easily detectable with microscopy analysis, and require specific recovery techniques. This study demonstrated for the first time that sediMAX 1 can be an aid in enteric parasite identification.

Published
2016

18. Iron stores, hepcidin, and aortic stiffness in individuals with hypertension

Author

Valenti, L, Maloberti, A, Signorini, S, Milano, M, Cesana, F, Cappellini, F, Dongiovanni, P, Porzio, M, Soriano, F, Brambilla, M, Cesana, G, Brambilla, P, Giannattasio, C, Fargion, S, MALOBERTI, ALESSANDRO, BRAMBILLA, MAURA, CESANA, GIANCARLO, BRAMBILLA, PAOLO, GIANNATTASIO, CRISTINA, Fargion, S., Valenti, L, Maloberti, A, Signorini, S, Milano, M, Cesana, F, Cappellini, F, Dongiovanni, P, Porzio, M, Soriano, F, Brambilla, M, Cesana, G, Brambilla, P, Giannattasio, C, Fargion, S, MALOBERTI, ALESSANDRO, BRAMBILLA, MAURA, CESANA, GIANCARLO, BRAMBILLA, PAOLO, GIANNATTASIO, CRISTINA, and Fargion, S.

Abstract

Background & Aims: Iron accumulation within the arterial wall has been hypothesized to promote atherosclerosis progression. Aim of this study was to evaluate whether the hormone hepcidin and iron stores are associated with arterial stiffness in subjects with essential hypertension. Methods: Circulating hepcidin, ferritin, and mutations in the hemochromatosis gene were compared between subjects included in the first vs. third tertile (n=284 each) of carotid-femoral pulse wave velocity (PWV) in an unselected cohort of patients with arterial hypertension. Results: At univariate logistic regression analysis, high PWV was associated with higher ferritin levels (p=0.010), but lower hepcidin (p=0.045), and hepcidin ferritin/ratio (p<0.001). Hemochromatosis mutations predisposing to iron overload were associated with high PWV (p=0.025). At multivariate logistic regression analysis, high aortic stiffness was associated with older age, male sex, lower BMI, higher systolic blood pressure and heart rate, hyperferritinemia (OR 2.05, 95% c.i. 1.11-3.17 per log ng/ml; p=0.022), and lower circulating hepcidin concentration (OR 0.29, 95% c.i. 0.16-0.51 per log ng/ml; p<0.001). In subgroup analyses, high PWV was associated with indices of target organ damage, including microalbuminuria (n=125, p=0.038), lower ejection fraction (n=175, p=0.031), cardiac diastolic dysfunction (p=0.004), and lower S wave peak systolic velocity (p<0.001). Ferritin was associated with cardiac diastolic dysfunction, independently of confounders (p=0.006). Conclusions: In conclusion, hyperferritinemia is associated with high aortic stiffness and cardiac diastolic dysfunction, while low circulating hepcidin with high aortic stiffness.

Published
2015

19. Feto-maternal correlation of PTX3, sFlt-1 and PlGF in physiological and pre-eclamptic pregnancies

Author

Algeri, P, Ornaghi, S, Bernasconi, D, Cappellini, F, Signorini, S, Brambilla, P, Urban, G, Vergani, P, ALGERI, PAOLA, ORNAGHI, SARA, BERNASCONI, DAVIDE PAOLO, BRAMBILLA, PAOLO, VERGANI, PATRIZIA, Algeri, P, Ornaghi, S, Bernasconi, D, Cappellini, F, Signorini, S, Brambilla, P, Urban, G, Vergani, P, ALGERI, PAOLA, ORNAGHI, SARA, BERNASCONI, DAVIDE PAOLO, BRAMBILLA, PAOLO, and VERGANI, PATRIZIA

Abstract

Objective: PTX3, sFlt-1 and PlGF levels in maternal blood are altered in some obstetric diseases, such as preeclampsia (PE). Nonetheless, only few data on their expression in the fetal compartment have been reported so far. Study Design: An observational study was performed by prospectively collecting maternal and fetal serum samples in 51 singleton pregnancies divided into two groups: 22 PE women and 29 healthy controls. The relationships between maternal and fetal marker serum levels were evaluated by Spearman correlation. Results: A feto-maternal correlation was neither identified for PTX3 in either PE or control groups (1.1 versus 3.8 ng/ml, p = 0.17 and 0.9 versus 1.3 ng/ml, p = 0.30, respectively), nor for sFlt-1 and PlGF in healthy pregnancies (158.2 versus 3326.0 pg/ml, p = 0.28 and 11.0 versus 230.9 pg/ml, p = 0.51). In contrast, PE patients showed a significant positive feto-maternal correlation for both sFlt-1 and PlGF (324.1 versus 10 825.0 pg/ml and 7.8 versus 31.6 pg/ml, respectively, p = 0.02 for both markers). Conclusion: According to our results, an independent fetal production of the analyzed soluble angiogenic markers can be hypothesized in pregnancies complicated by PE. © 2014 Informa Healthcare USA, Inc.

Published
2014

20. Effectiveness of highly sensitive troponin T assay for early diagnosis of acute myocardial infarction (AMI) [Efficacia della misura della troponina T con metodo ad alta sensibilità nella diagnosi precoce di infarto acuto del miocardio]

Author

Invernizzi, L, Doka, M, Cappellini, F, Signorelli, S, Falbo, R, Ronzoni, G, Saltafossi, D, Avanzini, F, Rusconi, S, Brambilla, P, BRAMBILLA, PAOLO, Invernizzi, L, Doka, M, Cappellini, F, Signorelli, S, Falbo, R, Ronzoni, G, Saltafossi, D, Avanzini, F, Rusconi, S, Brambilla, P, and BRAMBILLA, PAOLO

Abstract

The interpretation of cardiac troponin results has become challenging because of the availability of highly sensitive troponin assays able to detect even small cardiac damage. To investigate whether the highly sensitive cardiac troponin T assay (hs-cTnT) improves early AMI detection, a comparative evaluation between hs-cTnT and the 4th generation assay (4th-cTnT) was performed. Patients who presented to the Emergency Department from June to September 2011 with chest pain were recruited. Blood samples were taken at admission (T0), 1 (T1), 3, 6 and 12 h after presentation and were analysed by 4th-cTnT and hs-cTnT using Modular SWA E170 analyzer (Roche Diagnostics). For this study, only samples at T0 and T1 were evaluated. Of the 386 patients recruited, 32 (8.3%) had AMI. The sensitivity of hs-cTnT at T0 was 72% vs. 50% of 4th-cTnT. In T1 samples the sensitivity of hs-cTnT (97%) was slightly higher than 4th-cTnT (78%) (P=0.06). Our preliminary results showed that hs-cTnT can detect AMI 1 h after the hospital arrival in the majority of patients. Ongoing studies will define best algorithms for the effective use of hs-cTnT results in clinical practice. Rule-out and rule-in algorithms will have to be fine tuned to exploit cost-savings associated with this early diagnostic accuracy.

Published
2013

23. Heart-type fatty acid-binding protein may exclude acute myocardial infarction on admission to emergency department for chest pain

Author

Cappellini, F, Da Molin, S, Signorini, S, Avanzini, F, Saltafossi, D, Falbo, R, Brambilla, P, SIGNORINI, STEFANO, SALTAFOSSI, DONATA, BRAMBILLA, PAOLO, Cappellini, F, Da Molin, S, Signorini, S, Avanzini, F, Saltafossi, D, Falbo, R, Brambilla, P, SIGNORINI, STEFANO, SALTAFOSSI, DONATA, and BRAMBILLA, PAOLO

Abstract

Chest pain is one of the most frequent reasons for presentation to the emergency department (ED), although the estimated prevalence of AMI (acute myocardial infarction) in the ED is about 4%. One criterion for diagnosis of AMI is the demonstration of a rise and/or fall in cardiac troponins, but time is needed for this to happen. Thus, the use of an additional 'early marker' of cardiac injury may aid to exclude AMI rapidly. The aim of the study was to evaluate the possibility of excluding AMI with the determination of heart-type fatty acid-binding protein (H-FABP) on baseline samples of patients referring to the ED for chest pain. 26 AMI patients and 41 non-AMI comparisons were included in the study. Both H-FABP and high sensitivity cardiac troponin T (hs-cTnT) were measured in baseline samples from these subjects. H-FABP had a negative predictive value of 100%, thus indicating the possibility of its usage in a rule-out strategy for AMI in ED for patients presenting with chest pain.

Published
2013

24. Normal fasting plasma glucose and risk of type 2 diabetes

Author

Brambilla, P, La Valle, E, Falbo, R, Limonta, G, Signorini, S, Cappellini, F, Mocarelli, P, BRAMBILLA, PAOLO, Mocarelli, P., Brambilla, P, La Valle, E, Falbo, R, Limonta, G, Signorini, S, Cappellini, F, Mocarelli, P, BRAMBILLA, PAOLO, and Mocarelli, P.

Abstract

OBJECTIVE - To investigate the association of normal fasting plasma glucose (FPG) and the risk for type 2 diabetes. RESEARCH DESIGN ANDMETHODS - Data concerning 13,845 subjects, aged 40-69 years, who had their FPG measured at least three times between 1992 and 2008 were extracted from a database. Three FPG groups were defined (51-82, 83-90, and 91-99 mg/dL). A Cox proportional hazards analysis was applied to estimate the risk of incident diabetes adjusted for other risk factors. RESULTS - During 108,061 person-years of follow-up (8,110 women and 5,735 men), 307 incident cases of type 2 diabetes were found. The finalmodel demonstrated a hazard ratio of 2.03 (95% CI 1.18-3.50) for 91-99 mg/dL and 1.42 (0.42-4.74) for 83-90 mg/dL. CONCLUSIONS - Our data suggest that FPG between 91 and 99 mg/dL is a strong independent predictor of type 2 diabetes and should be used to identify people to be further investigated and aided with preventive measures. © 2011 by the American Diabetes Association.

Published
2011

25. IgVH mutational status in chronic lymphocytic leukemia: Evalutaion of reference databases [Stato mutazionale del gene IgVH nella leucemia linfatica cronica: Valutazione dei 'database' di riferimento]

Author

Cappellani, A, Cappellini, F, Biella, F, Sciarini, F, Parma, C, Limonta, G, Mocarelli, P, Brambilla, P, Biella, FM, BRAMBILLA, PAOLO, Cappellani, A, Cappellini, F, Biella, F, Sciarini, F, Parma, C, Limonta, G, Mocarelli, P, Brambilla, P, Biella, FM, and BRAMBILLA, PAOLO

Abstract

An important prognostic factor in patients with chronic lymphocytic leukemia (CLL) is the mutational status of immunoglobulin heavy chain variable region genes (IgVH), whose determination depends on the comparison between the nucleotide sequence of IgVH expressed by the leukemic clone of the patient and the germ line of the concerned family. If the calculated homology is >98%, the patient is deemed unmutated and the clinical course is unfavorable. Two reference database custodians of nucleotide sequences of the germ line [GenBank/IgBlast and Immunogenetics Information System (IMGT)] are the most accessed for the comparison. The aim of this work was to evaluate what database provides a more accurate assessment of the IgVH mutational status. The latter was examined by automated sequencing in patients with CLL (n = 204) and the percentage of homology was assessed by both databases. The analysis revealed that in six patients the two databases assigned a different family, because some alleles or families are present only in IgVH dataset of IMGT. When IgVH family was the same in both databases, the percentage of homology showed a difference in 50% of the subjects. Depending on the database used for comparison, six subjects, with homology close to 98%, have a different mutational status with associated different prognosis estimate. In conclusion, the IMGT database is more comprehensive and updated allowing to define the percentage of homology, and therefore the prognostic value, more accurately.

Published
2010

27. Sex differences in food choices, adherence to dietary recommendations and plasma lipid profile in type 2 diabetes - The TOSCA.IT study

Author

Christian Caselli, M. C. Ruffo, Fabrizio Cappellini, Maria Masulli, P. Di Bartolo, Carmela Giordano, Giovanni Sartore, G. Citro, L. Corsi, Stefano Signorini, Giorgio Clemente, G. Mancastroppa, M. Mori, Elena Ceccarelli, Raffaella Buzzetti, Roberto Anichini, Olga Vaccaro, Gabriele Perriello, A. C. Babini, Vittorio Krogh, L. Tonutti, Sergio Giuseppe Longhitano, Laura Salvi, Carlo Giorda, Agostino Consoli, R. Carpinteri, M. E. Rinaldi, Chiara Mazzucchelli, A. Zogheri, Massimo Boemi, A. De Gregorio, Clarissa Zamboni, Monia Garofolo, S. Cocozza, Enzo Bonora, Veronica Montani, C. Scaranna, Giovanna Riccardi, Lucia Fontana, G. Di Cianni, Mauro Cignarelli, C. Iovine, Sara Grioni, Martina Vitale, Vitale, Marilena, Masulli, Maria, Cocozza, Sara, Anichini, R., Babini, A. C., Boemi, M., Bonora, E., Buzzetti, R., Carpinteri, R., Caselli, C., Ceccarelli, E., Cignarelli, M., Citro, G., Clemente, G., Consoli, A., Corsi, L., De Gregorio, A., Di Bartolo, P., Di Cianni, G., Fontana, L., Garofolo, M., Giorda, C. B., Giordano, C., Grioni, S., Iovine, Ciro, Longhitano, S., Mancastroppa, G., Mazzucchelli, C., Montani, V., Mori, M., Perriello, G., Rinaldi, M. E., Ruffo, M. C., Salvi, L., Sartore, G., Scaranna, C., Tonutti, L., Zamboni, C., Zogheri, A., Krogh, V., Cappellini, F., Signorini, S., Riccardi, Gabriele, and Vaccaro, Olga

Subjects
Male, Time Factors, Healthy Diet, Endocrinology, Diabetes and Metabolism, Saturated fat, Medicine (miscellaneous), Type 2 diabetes, Cardiovascular risk factors, Diabetes, Dietary habits, Men, Nutritional recommendations, Sex differences, Women, Nutrition and Dietetics, Cardiology and Cardiovascular Medicine, Diabete, Recommended Dietary Allowances, Choice Behavior, chemistry.chemical_compound, 0302 clinical medicine, Endocrinology, Risk Factors, Aged, Biomarkers, Diabetes Mellitus, Type 2, Female, Food Preferences, Humans, Italy, Lipids, Middle Aged, Nutrition Assessment, Sex Factors, Surveys and Questionnaires, Treatment Outcome, Feeding Behavior, Patient Compliance, Food choice, Medicine, 030212 general & internal medicine, Food science, Diabetes and Metabolism, Saturated fatty acid, Diet, Healthy, Type 2, 030209 endocrinology & metabolism, Added sugar, Dietary habit, 03 medical and health sciences, Diabetes mellitus, Diabetes Mellitus, Healthy, business.industry, Unsaturated fat, Nutritional recommendation, Sex difference, medicine.disease, Diet, chemistry, Glycated hemoglobin, business
Abstract

Background and aims: Diabetic women have a more adverse plasma lipid profile than men. Sex differences in dietary habits may play a role, but are little investigated. The study evaluates the quality of diet, adherence to the nutritional recommendations of the Diabetes and Nutrition Study Group and their relation with plasma lipid in men and women with diabetes. Methods and results: We studied 2573 people, aged 50e75, enrolled in the TOSCA.IT study (clinicaltrials.gov; NCT00700856). Plasma lipids were measured centrally. Diet was assessed with a semi-quantitative food frequency questionnaire.Women had a more adverse plasma lipid profile than men.Women consumed significantly more legumes, vegetables, fruits, eggs, milk, vegetable oils, and added sugar, whereas men consumed more starchy foods, soft drinks and alcoholic beverages. This stands for a higher proportion (%) of energy intake from saturated fat and added sugar (12.0 2.4 vs 11.5 2.5 and 3.4 3.2 vs 2.3 3.2, P < 0.04), and a higher intake of fiber (11.2 2.8 vs 10.4 2.6 g/1000 Kcal/day) in women. Adherence to the recommendations for saturated fat and fiber consumption was associated with significantly lower LDL-cholesterol regardless of sex. Adherence to the recommendations for added sugars was associated with significantly lower triglycerides and higher HDL-cholesterol in men and women. Conclusions: Men and women with diabetes show significant differences in adherence to nutritional recommendations, but sex differences in plasma lipid profile are unlikely to be explained by nutritional factors. Adherence to the nutritional recommendations is associated with a better plasma lipid profile regardless of sex, thus reinforcing the importance of substituting saturated for unsaturated fat sources, increasing fiber and reducing added sugar intake.

Published
2016
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28. Normal Fasting Plasma Glucose and Risk of Type 2 Diabetes

Author

Paolo Brambilla, Stefano Signorini, Rosanna Falbo, Fabrizio Cappellini, Elisa L A Valle, Giuseppe Limonta, Paolo Mocarelli, Brambilla, P, La Valle, E, Falbo, R, Limonta, G, Signorini, S, Cappellini, F, and Mocarelli, P

Subjects
Adult, Blood Glucose, Male, Risk, Research design, medicine.medical_specialty, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Endocrinology, Diabetes and Metabolism, Type 2 diabetes, Gastroenterology, Retrospective Studie, Internal medicine, Diabetes mellitus, Internal Medicine, medicine, Humans, Epidemiology/Health Services Research, Aged, Proportional Hazards Models, Retrospective Studies, Original Research, Advanced and Specialized Nursing, Plasma glucose, Proportional hazards model, business.industry, Incidence, Incidence (epidemiology), Hazard ratio, Retrospective cohort study, Fasting, Middle Aged, medicine.disease, Endocrinology, Diabetes Mellitus, Type 2, Italy, Female, business, Human
Abstract

OBJECTIVE To investigate the association of normal fasting plasma glucose (FPG) and the risk for type 2 diabetes. RESEARCH DESIGN AND METHODS Data concerning 13,845 subjects, aged 40–69 years, who had their FPG measured at least three times between 1992 and 2008 were extracted from a database. Three FPG groups were defined (51–82, 83–90, and 91–99 mg/dL). A Cox proportional hazards analysis was applied to estimate the risk of incident diabetes adjusted for other risk factors. RESULTS During 108,061 person-years of follow-up (8,110 women and 5,735 men), 307 incident cases of type 2 diabetes were found. The final model demonstrated a hazard ratio of 2.03 (95% CI 1.18–3.50) for 91–99 mg/dL and 1.42 (0.42–4.74) for 83–90 mg/dL. CONCLUSIONS Our data suggest that FPG between 91 and 99 mg/dL is a strong independent predictor of type 2 diabetes and should be used to identify people to be further investigated and aided with preventive measures.

Published
2011
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29. Iron Stores, Hepcidin, and Aortic Stiffness in Individuals with Hypertension

Author

Maura Brambilla, M. Milano, Alessandro Maloberti, Francesca Cesana, Paola Dongiovanni, Silvia Fargion, Francesco Soriano, Stefano Signorini, Luca Valenti, Fabrizio Cappellini, Marianna Porzio, Cristina Giannattasio, Giancarlo Cesana, Paolo Brambilla, Valenti, L, Maloberti, A, Signorini, S, Milano, M, Cesana, F, Cappellini, F, Dongiovanni, P, Porzio, M, Soriano, F, Brambilla, M, Cesana, G, Brambilla, P, Giannattasio, C, and Fargion, S

Subjects
Adult, Male, medicine.medical_specialty, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Iron, Diastole, lcsh:Medicine, Pulse Wave Analysis, Essential hypertension, Vascular Stiffness, Hepcidins, Hepcidin, Internal medicine, medicine, Humans, lcsh:Science, Pulse wave velocity, Aorta, Aged, Multidisciplinary, carotid-femoral pulse wave velocity, aortic stiffness, ferritin, hypertension, blood pressure, atherosclerosis, hepcidin, biology, business.industry, lcsh:R, Middle Aged, medicine.disease, Ferritin, Blood pressure, Endocrinology, Ferritins, Hypertension, Arterial stiffness, biology.protein, Cardiology, Female, lcsh:Q, Aortic stiffness, Essential Hypertension, business, Research Article
Abstract

Background & Aims: Iron accumulation within the arterial wall has been hypothesized to promote atherosclerosis progression. Aim of this study was to evaluate whether the hormone hepcidin and iron stores are associated with arterial stiffness in subjects with essential hypertension. Methods: Circulating hepcidin, ferritin, and mutations in the hemochromatosis gene were compared between subjects included in the first vs. third tertile (n=284 each) of carotid-femoral pulse wave velocity (PWV) in an unselected cohort of patients with arterial hypertension. Results: At univariate logistic regression analysis, high PWV was associated with higher ferritin levels (p=0.010), but lower hepcidin (p=0.045), and hepcidin ferritin/ratio (p

Published
2015
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30. The integrative process promoted by EMDR in dissociative disorders: neurobiological mechanisms, psychometric tools, and intervention efficacy on the psychological impact of the COVID-19 pandemic.

Author

Poli A, Cappellini F, Sala J, and Miccoli M

Abstract

Dissociative disorders (DDs) are characterized by a discontinuity in the normal integration of consciousness, memory, identity, emotion, perception, bodily representation, motor control, and action. The life-threatening coronavirus disease 2019 (COVID-19) pandemic has been identified as a potentially traumatic event and may produce a wide range of mental health problems, such as depression, anxiety disorders, sleep disorders, and DD, stemming from pandemic-related events, such as sickness, isolation, losing loved ones, and fear for one's life. In our conceptual analysis, we introduce the contribution of the structural dissociation of personality (SDP) theory and polyvagal theory to the conceptualization of the COVID-19 pandemic-triggered DD and the importance of assessing perceived safety in DD through neurophysiologically informed psychometric tools. In addition, we analyzed the contribution of eye movement desensitization and reprocessing (EMDR) to the treatment of the COVID-19 pandemic-triggered DD and suggest possible neurobiological mechanisms of action of the EMDR. In particular, we propose that, through slow eye movements, the EMDR may promote an initial non-rapid-eye-movement sleep stage 1-like activity, a subsequent access to a slow-wave sleep activity, and an oxytocinergic neurotransmission that, in turn, may foster the functional coupling between paraventricular nucleus and both sympathetic and parasympathetic cardioinhibitory nuclei. Neurophysiologically informed psychometric tools for safety evaluation in DDs are discussed. Furthermore, clinical and public health implications are considered, combining the EMDR, SDP theory, and polyvagal conceptualizations in light of the potential dissociative symptomatology triggered by the COVID-19 pandemic., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Poli, Cappellini, Sala and Miccoli.)

Published
2023
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31. A form to report pain assessment and monitoring in the oncology clinical record: a Delphi process.

Author

Marinangeli F, Tonini G, Aglietta M, Gentili M, Cappellini F, Giacomelli L, and Biasco G

Subjects
Humans, Pain Measurement, Pain diagnosis, Pain etiology, Pain Management, Italy epidemiology, Medical Oncology, Neoplasms complications, Neoplasms diagnosis, Neoplasms epidemiology
Abstract

Background: Treatment of cancer pain remains suboptimal worldwide. In Italy, a law requires that pain be regularly assessed and reported in both medical and nursing records. Aim: To provide a homogeneous form to get exhaustive clinical information in the clinical report according to Italian legislation. Methods: A board, including oncologists and pain therapists, designed a form to report the pain characteristics of cancer patients in Italy in clinical records. The form was voted on through a Delphi process among directors of 18 clinical oncology specialization schools in Italy to obtain agreement on its content. Results: A form useful for collecting and reporting comprehensive and homogeneous information on pain among oncologists in Italy was produced. Conclusion: The development of common strategies for pain management can be improved by using this tool.

Published
2023
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33. Evaluating the Effectiveness of Internet-Based Communication for Public Health: Systematic Review.

Author

Ceretti E, Covolo L, Cappellini F, Nanni A, Sorosina S, Beatini A, Taranto M, Gasparini A, De Castro P, Brusaferro S, and Gelatti U

Subjects
Health Promotion, Humans, Internet, Research Design, Health Communication, Public Health
Abstract

Background: Communicating strategically is a key issue for health organizations. Over the past decade, health care communication via social media and websites has generated a great deal of studies examining different realities of communication strategies. However, when it comes to systematic reviews, there is fragmentary evidence on this type of communication., Objective: The aim of this systematic review was to summarize the evidence on web institutional health communication for public health authorities to evaluate possible aim-specific key points based on these existing studies., Methods: Guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement, we conducted a comprehensive review across 2 electronic databases (PubMed and Web of Science) from January 1, 2011, to October 7, 2021, searching for studies investigating institutional health communication. In total, 2 independent researchers (AN and SS) reviewed the articles for inclusion, and the assessment of methodological quality was based on the Kmet appraisal checklist., Results: A total of 78 articles were selected. Most studies (35/78, 45%) targeted health promotion and disease prevention, followed by crisis communication (24/78, 31%), general health (13/78, 17%), and misinformation correction and health promotion (6/78, 8%). Engagement and message framing were the most analyzed aspects. Few studies (14/78, 18%) focused on campaign effectiveness. Only 23% (18/78) of the studies had an experimental design. The Kmet evaluation was used to distinguish studies presenting a solid structure from lacking studies. In particular, considering the 0.75-point threshold, 36% (28/78) of the studies were excluded. Studies above this threshold were used to identify a series of aim-specific and medium-specific suggestions as the communication strategies used differed greatly., Conclusions: Overall, the findings suggest that no single strategy works best in the case of web-based health care communication. The extreme variability of outcomes and the lack of a unitary measure for assessing the end points of a specific campaign or study lead us to reconsider the tools we use to evaluate the efficacy of web-based health communication., (©Elisabetta Ceretti, Loredana Covolo, Francesca Cappellini, Alberto Nanni, Sara Sorosina, Andrea Beatini, Mirella Taranto, Arianna Gasparini, Paola De Castro, Silvio Brusaferro, Umberto Gelatti. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 13.09.2022.)

Published
2022
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34. Risk of Hepatocellular Carcinoma in Patients with Porphyria: A Systematic Review.

Author

Ramai D, Deliwala SS, Chandan S, Lester J, Singh J, Samanta J, di Nunzio S, Perversi F, Cappellini F, Shah A, Ghidini M, Sacco R, Facciorusso A, and Giacomelli L

Abstract

Acute porphyrias are a group of metabolic disorders resulting in defective porphyrin synthesis and reduced heme production, which carries a risk of malignancy. Porphyrias are inborn defects in the heme biosynthesis pathway resulting in neurovisceral manifestations and cutaneous photosensitivity attacks with multi-systemic involvement. Its estimated prevalence nears 5 per 100,000 patients worldwide. Subclinical liver disease is common, which can progress into transaminitis, fibrosis, cirrhosis, and malignancy. However, data on the incidence of primary liver cancer are lacking. We aim to determine the risk of hepatocellular carcinoma (HCC) in patients with porphyria. A systematic review and pooled analysis were conducted through 2021 on studies assessing blood tests, imaging, cancer development, liver transplant, surgical resection, and outcomes in porphyria. In total, 19 studies, which included 7381 patients with porphyria (3476 females), were considered for the final review. In eight studies, alpha-fetoprotein levels were elevated between 200 and 1000 IU/mL. Of the total cohort of patients with porphyria, primary liver cancer was diagnosed in 351 patients (4.8%), of whom 243 (3.3% of the total) were found to have HCC. A subset of patients was found to have cholangiocarcinoma ( n = 18; 0.3% of the total). Interestingly, advanced liver disease or cirrhosis was not a prerequisite for the formation of HCC in a small group of patients. Of the total cohort, 30 patients underwent liver resection, 48 patients underwent liver transplantation, and 327 patients died. Patients with porphyria are at risk of developing primary liver malignancy. Further studies should aim to develop diagnostic and prognostic models aimed at the early detection of HCC in porphyria.

Published
2022
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35. Copper oxide nanoparticles trigger macrophage cell death with misfolding of Cu/Zn superoxide dismutase 1 (SOD1).

Author

Gupta G, Cappellini F, Farcal L, Gornati R, Bernardini G, and Fadeel B

Subjects
Animals, Cell Death drug effects, Copper, Glutathione metabolism, Mice, Oxidative Stress, Protein Folding drug effects, RAW 264.7 Cells, Superoxides, Macrophages drug effects, Macrophages metabolism, Macrophages pathology, Metal Nanoparticles toxicity, Nanoparticles chemistry, Nanoparticles metabolism, Nanoparticles toxicity, Superoxide Dismutase-1 metabolism
Abstract

Background: Copper oxide (CuO) nanoparticles (NPs) are known to trigger cytotoxicity in a variety of cell models, but the mechanism of cell death remains unknown. Here we addressed the mechanism of cytotoxicity in macrophages exposed to CuO NPs versus copper chloride (CuCl 2 )., Methods: The mouse macrophage cell line RAW264.7 was used as an in vitro model. Particle uptake and the cellular dose of Cu were investigated by transmission electron microscopy (TEM) and inductively coupled plasma mass spectrometry (ICP-MS), respectively. The deposition of Cu in lysosomes isolated from macrophages was also determined by ICP-MS. Cell viability (metabolic activity) was assessed using the Alamar Blue assay, and oxidative stress was monitored by a variety of methods including a luminescence-based assay for cellular glutathione (GSH), and flow cytometry-based detection of mitochondrial superoxide and mitochondrial membrane potential. Protein aggregation was determined by confocal microscopy using an aggresome-specific dye and protein misfolding was determined by circular dichroism (CD) spectroscopy. Lastly, proteasome activity was investigated using a fluorometric assay., Results: We observed rapid cellular uptake of CuO NPs in macrophages with deposition in lysosomes. CuO NP-elicited cell death was characterized by mitochondrial swelling with signs of oxidative stress including the production of mitochondrial superoxide and cellular depletion of GSH. We also observed a dose-dependent accumulation of polyubiquitinated proteins and loss of proteasomal function in CuO NP-exposed cells, and we could demonstrate misfolding and mitochondrial translocation of superoxide dismutase 1 (SOD1), a Cu/Zn-dependent enzyme that plays a pivotal role in the defense against oxidative stress. The chelation of copper ions using tetrathiomolybdate (TTM) prevented cell death whereas inhibition of the cellular SOD1 chaperone aggravated toxicity. Moreover, CuO NP-triggered cell death was insensitive to the pan-caspase inhibitor, zVAD-fmk, and to wortmannin, an inhibitor of autophagy, implying that this was a non-apoptotic cell death. ZnO NPs, on the other hand, triggered autophagic cell death., Conclusions: CuO NPs undergo dissolution in lysosomes leading to copper-dependent macrophage cell death characterized by protein misfolding and proteasomal insufficiency. Specifically, we present novel evidence for Cu-induced SOD1 misfolding which accords with the pronounced oxidative stress observed in CuO NP-exposed macrophages. These results are relevant for our understanding of the consequences of inadvertent human exposure to CuO NPs., (© 2022. The Author(s).)

Published
2022
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36. Hospital Frailty Risk Score Is Independently Associated with Mortality and Encephalopathy in Hospitalized Patients with Hepatocellular Carcinoma.

Author

Ramai D, Dang-Ho KP, Kewalramani A, Bandaru P, Sacco R, Giacomelli L, Shah A, Papa S, Cappellini F, Perversi F, di Nunzio S, and Facciorusso A

Abstract

Frailty represents a state of vulnerability to multiple internal physiologic factors, as well as external pressures, and has been associated with clinical outcomes. We aim to understand the impact of frailty on patients admitted with hepatocellular carcinoma (HCC) by using the validated Hospital Frailty Risk Score, which is implemented in several hospitals worldwide. We conducted a nation-wide retrospective cohort study to determine the effect of frailty on the risk of in-patient mortality, hepatic encephalopathy, length of stay and cost. Frailty was associated with a 4.5-fold increased risk of mortality and a 2.3-fold increased risk of hepatic encephalopathy. Adjusted Cox regression showed that frailty was correlated with increased risk of in-patient mortality (hazard ratio: 2.3, 95% CI 1.9-2.8, p < 0.001). Frail HCC patients had longer hospital stay (median 5 days) vs. non-frail HCC patients (median 3 days). Additionally, frail patients had higher total costs of hospitalization ($40,875) compared with non-frail patients ($31,667). Frailty is an independent predictor of hepatic encephalopathy and in-patient mortality. Frailty is a surrogate marker of hospital length of stay and cost.

Published
2021
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37. Anthocyanins: From Mechanisms of Regulation in Plants to Health Benefits in Foods.

Author

Cappellini F, Marinelli A, Toccaceli M, Tonelli C, and Petroni K

Abstract

Anthocyanins represent the major red, purple, and blue pigments in many flowers, fruits, vegetables, and cereals. They are also recognized as important health-promoting components in the human diet with protective effects against many chronic diseases, including cardiovascular diseases, obesity, and cancer. Anthocyanin biosynthesis has been studied extensively, and both biosynthetic and key regulatory genes have been isolated in many plant species. Here, we will provide an overview of recent progress in understanding the anthocyanin biosynthetic pathway in plants, focusing on the transcription factors controlling activation or repression of anthocyanin accumulation in cereals and fruits of different plant species, with special emphasis on the differences in molecular mechanisms between monocot and dicot plants. Recently, new insight into the transcriptional regulation of the anthocyanin biosynthesis, including positive and negative feedback control as well as epigenetic and post-translational regulation of MYB-bHLH-WD40 complexes, has been gained. We will consider how knowledge of regulatory mechanisms has helped to produce anthocyanin-enriched foods through conventional breeding and metabolic engineering. Additionally, we will briefly discuss the biological activities of anthocyanins as components of the human diet and recent findings demonstrating the important health benefits of anthocyanin-rich foods against chronic diseases., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Cappellini, Marinelli, Toccaceli, Tonelli and Petroni.)

Published
2021
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38. The Therapeutic Potential of Anthocyanins: Current Approaches Based on Their Molecular Mechanism of Action.

Author

Salehi B, Sharifi-Rad J, Cappellini F, Reiner Ž, Zorzan D, Imran M, Sener B, Kilic M, El-Shazly M, Fahmy NM, Al-Sayed E, Martorell M, Tonelli C, Petroni K, Docea AO, Calina D, and Maroyi A

Abstract

Anthocyanins are natural phenolic pigments with biological activity. They are well-known to have potent antioxidant and antiinflammatory activity, which explains the various biological effects reported for these substances suggesting their antidiabetic and anticancer activities, and their role in cardiovascular and neuroprotective prevention. This review aims to comprehensively analyze different studies performed on this class of compounds, their bioavailability and their therapeutic potential. An in-depth look in preclinical, in vitro and in vivo , and clinical studies indicates the preventive effects of anthocyanins on cardioprotection, neuroprotection, antiobesity as well as their antidiabetes and anticancer effects., (Copyright © 2020 Salehi, Sharifi-Rad, Cappellini, Reiner, Zorzan, Imran, Sener, Kilic, El-Shazly, Fahmy, Al-Sayed, Martorell, Tonelli, Petroni, Docea, Calina and Maroyi.)

Published
2020
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39. Dry Generation of CeO 2 Nanoparticles and Deposition onto a Co-Culture of A549 and THP-1 Cells in Air-Liquid Interface-Dosimetry Considerations and Comparison to Submerged Exposure.

Author

Cappellini F, Di Bucchianico S, Karri V, Latvala S, Malmlöf M, Kippler M, Elihn K, Hedberg J, Odnevall Wallinder I, Gerde P, and Karlsson HL

Abstract

Relevant in vitro assays that can simulate exposure to nanoparticles (NPs) via inhalation are urgently needed. Presently, the most common method employed is to expose lung cells under submerged conditions, but the cellular responses to NPs under such conditions might differ from those observed at the more physiological air-liquid interface (ALI). The aim of this study was to investigate the cytotoxic and inflammatory potential of CeO 2 NPs (NM-212) in a co-culture of A549 lung epithelial cells and differentiated THP-1 cells in both ALI and submerged conditions. Cellular dose was examined quantitatively using inductively coupled plasma mass spectrometry (ICP-MS). The role of serum and LPS-priming for IL-1β release was further tested in THP-1 cells in submerged exposure. An aerosol of CeO 2 NPs was generated by using the PreciseInhale ® system, and NPs were deposited on the co-culture using Xpose ALI ® . No or minor cytotoxicity and no increased release of inflammatory cytokines (IL-1β, IL-6, TNFα, MCP-1) were observed after exposure of the co-culture in ALI (max 5 µg/cm 2 ) or submerged (max 22 µg/cm 2 ) conditions. In contrast, CeO 2 NPs cause clear IL-1β release in monocultures of macrophage-like THP-1, independent of the presence of serum and LPS-priming. This study demonstrates a useful approach for comparing effects at various in-vitro conditions.

Published
2020
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40. ToxTracker Reporter Cell Lines as a Tool for Mechanism-Based (geno)Toxicity Screening of Nanoparticles-Metals, Oxides and Quantum Dots.

Author

McCarrick S, Cappellini F, Kessler A, Moelijker N, Derr R, Hedberg J, Wold S, Blomberg E, Odnevall Wallinder I, Hendriks G, and Karlsson HL

Abstract

The increased use of nanoparticles (NPs) requires efficient testing of their potential toxic effects. A promising approach is to use reporter cell lines to quickly assess the activation of cellular stress response pathways. This study aimed to use the ToxTracker reporter cell lines to investigate (geno)toxicity of various metal- or metal oxide NPs and draw general conclusions on NP-induced effects, in combination with our previous findings. The NPs tested in this study ( n = 18) also included quantum dots (QDs) in different sizes. The results showed a large variation in cytotoxicity of the NPs tested. Furthermore, whereas many induced oxidative stress only few activated reporters related to DNA damage. NPs of manganese (Mn and Mn 3 O 4 ) induced the most remarkable ToxTracker response with activation of reporters for oxidative stress, DNA damage, protein unfolding and p53-related stress. The QDs (CdTe) were highly toxic showing clearly size-dependent effects and calculations suggest surface area as the most relevant dose metric. Of all NPs investigated in this and previous studies the following induce the DNA damage reporter; CuO, Co, CoO, CdTe QDs, Mn, Mn 3 O 4 , V 2 O 5 , and welding NPs. We suggest that these NPs are of particular concern when considering genotoxicity induced by metal- and metal oxide NPs.

Published
2020
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41. Glycosylated Hemoglobin in Subjects Affected by Iron-Deficiency Anemia.

Author

Intra J, Limonta G, Cappellini F, Bertona M, and Brambilla P

Subjects
Adult, Aged, Aged, 80 and over, Blood Glucose analysis, Case-Control Studies, Erythrocyte Count, Fasting blood, Female, Ferritins blood, Humans, Italy, Leukocyte Count, Male, Middle Aged, Retrospective Studies, Young Adult, Anemia, Iron-Deficiency blood, Anemia, Iron-Deficiency diagnosis, Glycated Hemoglobin analysis
Abstract

Previous studies have suggested that iron-deficiency anemia affects glycosylated hemoglobin (HbA1c) measurements, but the results were contradictory. We conducted a retrospective case-control study to determine the effects of iron deficiency on HbA1c levels. Starting with the large computerized database of the Italian Hospital of Desio, including data from 2000 to 2016, all non-pregnant individuals older than 12 years of age with at least one measurement of HbA1c, cell blood count, ferritin, and fasting blood glucose on the same date of blood collection were enrolled. A total of 2,831 patients met the study criteria. Eighty-six individuals were diagnosed with iron-deficiency anemia, while 2,745 had a normal iron state. The adjusted means of HbA1c were significantly higher in anemic subjects (5.59% [37.37 mmol/mol]), than those measured in individuals without anemia (5.34% [34.81 mmol/mol]) ( P <0.0001). These results suggest that clinicians should be cautious about diagnosing prediabetes and diabetes in individuals with anemia., Competing Interests: No potential conflict of interest relevant to this article was reported., (Copyright © 2019 Korean Diabetes Association.)

Published
2019
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42. Genotoxicity of TiO2 nanoparticles assessed by mini-gel comet assay and micronucleus scoring with flow cytometry.

Author

Di Bucchianico S, Cappellini F, Le Bihanic F, Zhang Y, Dreij K, and Karlsson HL

Subjects
Bronchi drug effects, Cell Line, DNA drug effects, Epithelial Cells metabolism, Humans, Metal Nanoparticles chemistry, Titanium pharmacology, Titanium toxicity, Comet Assay, DNA Damage, Epithelial Cells drug effects, Metal Nanoparticles toxicity, Micronuclei, Chromosome-Defective chemically induced, Micronucleus Tests
Abstract

The widespread production and use of nanoparticles calls for faster and more reliable methods to assess their safety. The main aim of this study was to investigate the genotoxicity of three reference TiO 2 nanomaterials (NM) within the frame of the FP7-NANoREG project, with a particular focus on testing the applicability of mini-gel comet assay and micronucleus (MN) scoring by flow cytometry. BEAS-2B cells cultured under serum-free conditions were exposed to NM100 (anatase, 50-150nm), NM101 (anatase, 5-8nm) and NM103 (rutile, 20-28nm) for 3, 24 or 48h mainly at concentrations 1-30 μg/ml. In the mini-gel comet assay (eight gels per slide), we included analysis of (i) DNA strand breaks, (ii) oxidised bases (Fpg-sensitive sites) and (iii) light-induced DNA damage due to photocatalytic activity. Furthermore, MN assays were used and we compared the results of more high-throughput MN scoring with flow cytometry to that of cytokinesis-block MN cytome assay scored manually using a microscope. Various methods were used to assess cytotoxic effects and the results showed in general no or low effects at the doses tested. A weak genotoxic effect of the tested TiO 2 materials was observed with an induction of oxidised bases for all three materials of which NM100 was the most potent. When the comet slides were briefly exposed to lab light, a clear induction of DNA strand breaks was observed for the anatase materials, but not for the rutile. This highlights the risk of false positives when testing photocatalytically active materials if light is not properly avoided. A slight increase in MN formation for NM103 was observed in the different MN assays at the lower doses tested (1 and 5 μg/ml). We conclude that mini-gel comet assay and MN scoring using flow cytometry successfully can be used to efficiently study cytotoxic and genotoxic properties of nanoparticles., (© The Author 2016. Published by Oxford University Press on behalf of the UK Environmental Mutagen Society.)

Published
2017
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43. New synthesis and biodistribution of the D-amino acid oxidase-magnetic nanoparticle system.

Author

Cappellini F, Recordati C, Maglie M, Pollegioni L, Rossi F, Daturi M, Gornati R, and Bernardini G

Abstract

Background: Application of nanoenzymes, based on D-amino acid oxidase (DAAO) conjugated to magnetic nanoparticles (NPs), as anticancer system requires improvement of the synthesis protocol and in vivo distribution evaluation., Results: A new and more efficient synthesis via EDC-NHS produced an Fe 3 O 4 NP-APTES-DAAO system with a specific activity of 7 U/mg NPs. IR spectroscopy showed that all Fe 3 O 4 NP sites are saturated with APTES and all available NH 2 sites with DAAO. The acute cytotoxicity of the new system does not differ from that of the previous one. In vivo experiments showed that the system did not cause adverse effects, cross the brain-blood barrier and accumulate in the heart., Conclusions: Our results support the possibility to use enzymes conjugated to magnetic NPs for cancer treatment. Besides, we think that enzymes and other biological molecules efficiently conjugated to magnetic NPs might constitute a category of 'bionanoparticles' to be exploited, not only in medical, but also in industrial biotechnology., Competing Interests: Financial & competing interests disclosure This work was partially supported by a CARIPLO grant number 2013–1052. Some of these data arise from a collaboration started in the context of the COST action MODENA TD1204. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. No writing assistance was utilized in the production of this manuscript.

Published
2015
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44. Iron Stores, Hepcidin, and Aortic Stiffness in Individuals with Hypertension.

Author

Valenti L, Maloberti A, Signorini S, Milano M, Cesana F, Cappellini F, Dongiovanni P, Porzio M, Soriano F, Brambilla M, Cesana G, Brambilla P, Giannattasio C, and Fargion S

Subjects
Adult, Aged, Aorta physiopathology, Essential Hypertension, Female, Humans, Hypertension physiopathology, Male, Middle Aged, Pulse Wave Analysis, Ferritins blood, Hepcidins blood, Hypertension blood, Iron blood, Vascular Stiffness
Abstract

Background & Aims: Iron accumulation within the arterial wall has been hypothesized to promote atherosclerosis progression. Aim of this study was to evaluate whether the hormone hepcidin and iron stores are associated with arterial stiffness in subjects with essential hypertension., Methods: Circulating hepcidin, ferritin, and mutations in the hemochromatosis gene were compared between subjects included in the first vs. third tertile (n=284 each) of carotid-femoral pulse wave velocity (PWV) in an unselected cohort of patients with arterial hypertension., Results: At univariate logistic regression analysis, high PWV was associated with higher ferritin levels (p=0.010), but lower hepcidin (p=0.045), and hepcidin ferritin/ratio (p<0.001). Hemochromatosis mutations predisposing to iron overload were associated with high PWV (p=0.025). At multivariate logistic regression analysis, high aortic stiffness was associated with older age, male sex, lower BMI, higher systolic blood pressure and heart rate, hyperferritinemia (OR 2.05, 95% c.i. 1.11-3.17 per log ng/ml; p=0.022), and lower circulating hepcidin concentration (OR 0.29, 95% c.i. 0.16-0.51 per log ng/ml; p<0.001). In subgroup analyses, high PWV was associated with indices of target organ damage, including micro-albuminuria (n=125, p=0.038), lower ejection fraction (n=175, p=0.031), cardiac diastolic dysfunction (p=0.004), and lower S wave peak systolic velocity (p<0.001). Ferritin was associated with cardiac diastolic dysfunction, independently of confounders (p=0.006)., Conclusions: In conclusion, hyperferritinemia is associated with high aortic stiffness and cardiac diastolic dysfunction, while low circulating hepcidin with high aortic stiffness.

Published
2015
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45. Heparin and carboxymethylchitosan metal nanoparticles: an evaluation of their cytotoxicity.

Author

Bava A, Cappellini F, Pedretti E, Rossi F, Caruso E, Vismara E, Chiriva-Internati M, Bernardini G, and Gornati R

Subjects
Biocompatible Materials, Cell Line, Cell Survival drug effects, Chitosan administration & dosage, Chitosan toxicity, Drug Carriers, Heparin toxicity, Humans, Iron chemistry, Metal Nanoparticles toxicity, Microscopy, Electron, Transmission, Spectroscopy, Fourier Transform Infrared, Static Electricity, Chitosan analogs & derivatives, Heparin administration & dosage, Metal Nanoparticles administration & dosage
Abstract

In the search for noninvasive diagnostic techniques and new therapies, "nanosystems", which are capable of binding and targeting bioactive molecules, are becoming increasingly important. In this context, biocompatible coatings are gaining interest, not only for their biological effects but also because they are considered capable to mask nanoparticle toxicity. In this work, we have compared the toxicity of nanoparticles coated with heparin and carboxymethylchitosan in the SKOV-3 cell line. Our results indicate that heparin and carboxymethylchitosan coatings do not guarantee the decrease of nanoparticle intrinsic toxicity which is often envisaged. Nonetheless, these coatings provide the opportunity for further functionalization with a variety of biomolecules for their use in theranostics.

Published
2013
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46. Normal fasting plasma glucose and risk of type 2 diabetes.

Author

Brambilla P, La Valle E, Falbo R, Limonta G, Signorini S, Cappellini F, and Mocarelli P

Subjects
Adult, Aged, Diabetes Mellitus, Type 2 epidemiology, Female, Humans, Incidence, Italy epidemiology, Male, Middle Aged, Proportional Hazards Models, Retrospective Studies, Risk, Blood Glucose metabolism, Diabetes Mellitus, Type 2 blood, Fasting blood
Abstract

Objective: To investigate the association of normal fasting plasma glucose (FPG) and the risk for type 2 diabetes., Research Design and Methods: Data concerning 13,845 subjects, aged 40-69 years, who had their FPG measured at least three times between 1992 and 2008 were extracted from a database. Three FPG groups were defined (51-82, 83-90, and 91-99 mg/dL). A Cox proportional hazards analysis was applied to estimate the risk of incident diabetes adjusted for other risk factors., Results: During 108,061 person-years of follow-up (8,110 women and 5,735 men), 307 incident cases of type 2 diabetes were found. The final model demonstrated a hazard ratio of 2.03 (95% CI 1.18-3.50) for 91-99 mg/dL and 1.42 (0.42-4.74) for 83-90 mg/dL., Conclusions: Our data suggest that FPG between 91 and 99 mg/dL is a strong independent predictor of type 2 diabetes and should be used to identify people to be further investigated and aided with preventive measures.

Published
2011
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