102 results on '"Burlina, S"'
Search Results
2. Comment: Characteristics and outcomes of pregnant women with type 1 or type 2 diabetes—a 5-year national population-based cohort study
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Lapolla, A., Burlina, S., and Dalfrà, M. G.
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- 2022
- Full Text
- View/download PDF
3. Vaccination against COVID-19 infection: the need of evidence for diabetic and obese pregnant women
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Lapolla, A., Dalfrà, M. G., and Burlina, S.
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- 2021
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4. High-density lipoprotein oxidation in type 2 diabetic patients and young patients with premature myocardial infarction
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Sartore, G., Seraglia, R., Burlina, S., Bolis, A., Marin, R., Manzato, E., Ragazzi, E., Traldi, P., and Lapolla, A.
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- 2015
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5. Plasma phospholipid fatty acid composition and desaturase activity in women with gestational diabetes mellitus before and after delivery
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Burlina, S., Dalfrà, M. G., Barison, A., Marin, R., Ragazzi, E., Sartore, G., and Lapolla, A.
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- 2017
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6. Team management of gestational diabetes: a training experience
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Burlina, S., Dalfrà, M. G., Visentin, S., Valentini, R., Capovilla, F., Lapolla, A., Alessandra, Altafini, Sonya, Braitner, Erika, Breitner, Barbara, Brunato, Renato, Candrina, Monica, Cecchi, Rossella, Ceci, Cristina, Ceresoli, Lidia, Chiarion, Giuseppe, Chiosci, Elisabetta, Ciani, Francesca, Cimitan, Rita, Dall’Ovo, Alfredo, De Michele, Clelia, Di Secli, Stefano, Ettori, Elisabeth, Gruber, Pasquale, Langella, Giovanna, Lisato, Simonetta, Lombardi, Rosalia, Loro, Grazia, Magotti Maria, Emilio, Marchetto Paolo, Stefania, Massignani, Raffaella, Moratelli, Pamela, Moretti, Simona, Moscatiello, Raimonda, Muraro, Ilaria, Nicolao, Gaetano, Panusa, Laura, Pizzamiglio, Valeria, Pugni, Paola, Radagni Probizer, Andreina, Romano, Tiziana, Romanelli, Patrizia, Rossi, Luisa, Scalvi, Carla, Tortul, Cristina, Trojano, Daniela, Turazzi, Michela, Turra, Rosita, Vassallo, Federica, Veronese, Giovanni, Vita, Giuseppina, Zaltieri, and on behalf of the Training Experience Group
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- 2017
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- View/download PDF
7. AGEs, rather than hyperglycemia, are responsible for microvascular complications in diabetes: A “glycoxidation-centric” point of view
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Chilelli, N.C., Burlina, S., and Lapolla, A.
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- 2013
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8. Between reduction of glucose fluctuations and increased therapeutic adherence: an example of the benefits of vildagliptin in an elderly diabetic patient
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Chilelli, N. C., Burlina, S., Sartore, G., and Lapolla, A.
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- 2015
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9. Long-term cardio-metabolic effects after gestational diabetes: a review.
- Author
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Burlina, S., Dalfrà, M. G., and Lapolla, A.
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GESTATIONAL diabetes , *TYPE 2 diabetes , *PUERPERIUM , *PREVENTIVE medicine , *CARDIOVASCULAR development , *CARDIOVASCULAR diseases , *PUERPERAL disorders - Abstract
Women with GDM are at high risk of metabolic syndrome and type 2 diabetes (T2DM). A relationship with GDM and future development of cardiovascular disease (CVD) has been also recognized. Pregnancy and postpartum period in women with GDM give us the opportunity to identify the underlying, often unrecognized, CVD risk factors. Ideally, the postpartum follow-up of this women should be done by a multidisciplinary team to evaluate their cardio-metabolic risk and to counseling regarding lifestyle modification (healthy diet and regular physical activity) and breastfeeding that can reduce their risk. Longer follow-up of these women should be individualized, focusing attention on women at medium-high cardio-metabolic risk. The link between GDM and T2DM-CVD offers us a great opportunity for the diseases prevention. [ABSTRACT FROM AUTHOR]
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- 2022
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10. Is the placental proteome impaired in well-controlled gestational diabetes?
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Burlina, S, Banfi, C, Brioschi, M, Visentin, S, Dalfra, M, Traldi, P, Lapolla, A, Burlina S., Banfi C., Brioschi M., Visentin S., Dalfra M. G., Traldi P., Lapolla A., Burlina, S, Banfi, C, Brioschi, M, Visentin, S, Dalfra, M, Traldi, P, Lapolla, A, Burlina S., Banfi C., Brioschi M., Visentin S., Dalfra M. G., Traldi P., and Lapolla A.
- Abstract
In pregnancy complicated by gestational diabetes mellitus (GDM), the human placenta shows several pathological functional and structural changes, but the extent to which maternal glycemic control contributes to placental abnormalities remains unclear. The aim of this study was to profile and compare the proteome of placentas from healthy pregnant women and those with GDM, to investigate the placenta-specific protein composition and possible changes of its function in presence of GDM. Quantitative proteomic analysis, based on LC-MS E approach, revealed that higher (approximately 15% increase) levels of galectin 1 and collagen alpha-1 XIV chain (although the difference regarding the latter was at the limit of significance) were present in GDM samples, while heat shock 70 kDa protein 1A/1B was less abundant in GDM placental tissue. These data seem to indicate that GDM, when well controlled, did not markedly affect the placental proteome.
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- 2019
11. Comment: Characteristics and outcomes of pregnant women with type 1 or type 2 diabetes—a 5-year national population-based cohort study
- Author
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Lapolla, A., primary, Burlina, S., additional, and Dalfrà, M. G., additional
- Published
- 2021
- Full Text
- View/download PDF
12. Long-term cardio-metabolic effects after gestational diabetes: a review
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Burlina, S., primary, Dalfrà, M. G., additional, and Lapolla, A., additional
- Published
- 2021
- Full Text
- View/download PDF
13. The effects of psyllium on lipoproteins in type II diabetic patients
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Sartore, G, Reitano, R, Barison, A, Magnanini, P, Cosma, C, Burlina, S, Manzato, E, Fedele, D, and Lapolla, A
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- 2009
- Full Text
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14. Dietary intake and major food sources of polyphenols in people with type 2 diabetes: The TOSCA.IT Study
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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
15. 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
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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
16. A preliminary study on human placental tissue impaired by gestational diabetes: A comparison of gel-based versus gel-free proteomics approaches
- Author
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Roverso, M, Brioschi, M, Banfi, C, Visentin, S, Burlina, S, Seraglia, R, Traldi, P, Lapolla, A, Roverso M., Brioschi M., Banfi C., Visentin S., Burlina S., Seraglia R., Traldi P., Lapolla A., Roverso, M, Brioschi, M, Banfi, C, Visentin, S, Burlina, S, Seraglia, R, Traldi, P, Lapolla, A, Roverso M., Brioschi M., Banfi C., Visentin S., Burlina S., Seraglia R., Traldi P., and Lapolla A.
- Abstract
Gestational diabetes (GDM) is the most common complication of pregnancy and it is associated with maternal and fetal short- and long-term consequences. GDM modifies placental structure and function, but many of the underlying mechanisms are still unclear. The aim of this study is to develop and compare two different methods, based respectively on gel-based and gel-free proteomics, in order to investigate the placental proteome in the absence or in the presence of GDM and to identify, through a comparative approach, possible changes in protein expression due to the GDM condition. Placenta homogenates obtained by pooling six control samples and six samples from GDM pregnant women were analyzed by two-dimensional (2D) electrophoresis coupled with mass spectrometry [nano-liquid chromatography (nano-LC) tandem mass spectrometry (MS/MS) and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS)] and by a label-free mass spectrometry method based on LC-MSE . The gel-based approach highlights 13 over-expressed proteins and 16 under-expressed proteins, while the label-free method shows the over-expression of 10 proteins and the under-expression of nine proteins. As regards 2D gel electrophoresis, a comparison between two different protein identification methods, based respectively on nLC-electrospray ionization-MS/MS and MALDI-MS/MS, was performed taking into consideration the sequence coverage, the MASCOT score and the exponentially modified protein abundance index. The analysis of the complex proteome through an integrated strategy revealed that the quantitative gel-free and label-free MS approach might be suitable to identify candidate markers of GDM.
- Published
- 2016
17. Gestational Diabetes Mellitus and Future Cardiovascular Risk: An Update
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Burlina, S., Dalfrà, M. G., Chilelli, N. C., and Lapolla, A.
- Subjects
Article Subject - Abstract
The prevalence of gestational diabetes mellitus is increasing in parallel with the rising prevalence of type 2 diabetes and obesity around the world. Current evidence strongly suggests that women who have had gestational diabetes mellitus are at greater risk of cardiovascular disease later in life. Given the growing prevalence of gestational diabetes mellitus, it is important to identify appropriate reliable markers of cardiovascular disease and specific treatment strategies capable of containing obesity, diabetes, and metabolic syndrome in order to reduce the burden of cardiovascular disease in the women affected.
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- 2016
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18. Short- and long-term consequences for offspring exposed to maternal diabetes: a review
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Burlina, S., primary, Dalfrà, M. G., additional, and Lapolla, A., additional
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- 2017
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19. Short- and long-term consequences for offspring exposed to maternal diabetes: a review.
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Burlina, S., Dalfrà, M. G., and Lapolla, A.
- Subjects
- *
GESTATIONAL diabetes , *TYPE 2 diabetes , *OBESITY , *CHILDREN , *ADOLESCENCE - Abstract
The prevalence of gestational diabetes mellitus is increasing, as is the worldwide prevalence of type 2 diabetes and obesity, even in children and adolescents. Exposure in utero to maternal diabetes carries several short-term consequences due mainly to maternal hyperglycemia, and consequent fetal hyperinsulinemia. Current evidence also supports the hypothesis that adult health and disease have developmental origins, and that disorders in early-life environments prompt metabolic imprinting that results in a greater risk of negative metabolic outcomes later in life. In particular, exposure in utero to maternal diabetes seems to influence long-term metabolic outcomes, carrying a higher risk of obesity and type 2 diabetes, and thus creating a vicious cycle for future generations. In this paper, the short- and long-term consequences of exposure in utero to hyperglycemia are reviewed, focusing particularly on the long-term metabolic consequences, and investigating the possible pathogenic mechanisms involved. [ABSTRACT FROM AUTHOR]
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- 2019
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20. 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
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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
21. Pioglitazone's Influence on the Oxidation of HDL in Type 2 Diabetic Subjects
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Sartore G., Seraglia R., Burlina S., Chilelli N. C., Marin R., Manzato E., and Lapolla A.
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Endocrinology ,Metabolism - Published
- 2015
22. Plasma phospholipid fatty acid composition and desaturase activity in women with gestational diabetes mellitus before and after delivery
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Burlina, S., primary, Dalfrà, M. G., additional, Barison, A., additional, Marin, R., additional, Ragazzi, E., additional, Sartore, G., additional, and Lapolla, A., additional
- Published
- 2016
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23. An effective and rapid determination by MALDI/TOF/TOF of methionine sulphoxide content of ApoA-I in type 2 diabetic patients
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Seraglia R., Sartore G., Marin R., Burlina S., Manzato E., Ragazzi E., Traldi P., and Lapolla A.
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MALDI/MS ,diabetes ,HDL ,lipids (amino acids, peptides, and proteins) ,atherosclerosis ,humanities ,LDL - Abstract
Increased oxidation of low density lipoprotein (LDL) is characteristic of atherosclerosis. In this frame, high density lipoproteins (HDL) play an important role, being able to remove lipid peroxides (LPOs) and cholesterol from oxidized LDL, so exhibiting a protective role against atherosclerosis. A wide range of reactive compounds lead to the oxidation of methionine (Met) residues with the formation of methionine sulphoxide (MetO) in apolipoprotein A-I (ApoA-I). Consequently, the determination of MetO level can give both an evaluation of oxidative stress and the reduced capability of ApoA-I in LPOs and cholesterol transport. For these reasons, the development of analytical methods able to determine the MetO level is surely of interest, and we report here the results obtained by MALDI mass spectrometry. Copyright © 2013 John Wiley & Sons, Ltd. Copyright © 2013 John Wiley & Sons, Ltd.
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- 2013
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24. Between reduction of glucose fluctuations and increased therapeutic adherence: an example of the benefits of vildagliptin in an elderly diabetic patient
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Chilelli, N. C., primary, Burlina, S., additional, Sartore, G., additional, and Lapolla, A., additional
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- 2014
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25. Long-term effect of pioglitazone vs glimepiride on lipoprotein oxidation in patients with type 2 diabetes: a prospective randomized study
- Author
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Marco Roverso, Nino Cristiano Chilelli, Olga Vaccaro, Giovanni Sartore, Raffaella Marin, Silvia Burlina, Roberta Seraglia, Annunziata Lapolla, Eugenio Ragazzi, Chiara Cosma, Sartore, G., Chilelli, N. C., Seraglia, R., Ragazzi, E., Marin, R., Roverso, M., Cosma, C., Vaccaro, O., Burlina, S., and Lapolla, A.
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Blood Glucose ,Glycation End Products, Advanced ,Male ,Endocrinology, Diabetes and Metabolism ,Type 2 diabetes ,030204 cardiovascular system & hematology ,Diabete ,chemistry.chemical_compound ,Clinical trials ,0302 clinical medicine ,Endocrinology ,Oxidized lipids ,Lipoprotein ,medicine.diagnostic_test ,Diabetes ,General Medicine ,Oxidized lipid ,Lipid ,Middle Aged ,Lipids ,Diabetes and Metabolism ,Clinical trial ,Lipoproteins, LDL ,Sulfonylurea Compound ,Lipoproteins ,Mass spectrometry ,Internal Medicine ,lipids (amino acids, peptides, and proteins) ,Female ,Lipoproteins, HDL ,Oxidation-Reduction ,medicine.drug ,Human ,medicine.medical_specialty ,030209 endocrinology & metabolism ,03 medical and health sciences ,Diabetes mellitus ,Internal medicine ,medicine ,Humans ,Hypoglycemic Agents ,Lipoprotein oxidation ,Aged ,Apolipoprotein A-I ,Hypoglycemic Agent ,Pioglitazone ,business.industry ,Cholesterol ,Cholesterol, HDL ,medicine.disease ,Glimepiride ,Sulfonylurea Compounds ,chemistry ,Diabetes Mellitus, Type 2 ,Thiazolidinediones ,business ,Lipid profile - Abstract
Aims: Type 2 diabetes (DM2) is associated to oxidative modifications of high-density lipoproteins (HDL), which can interfere with their function. Pioglitazone has proved effective in raising HDL cholesterol (HDL-C) and lowering small dense low-density lipoprotein (LDL), but no clinical studies have examined its effect on lipoprotein oxidation in patients with DM2. Methods: We assessed the effect of pioglitazone vs glimepiride after 1 year on HDL oxidation, expressed as relative abundance of peptides containing Met 112 O in ApoA-I (oxApoA-I) estimated by mass spectrometry (MALDI/TOF/TOF), in 95 patients with DM2. The oxLDL and AGE were quantified by ELISA. Results: Patients receiving pioglitazone showed a significant increase in the concentration of ApoA-I (Δ = 7.2 ± 14.8 mg/dL, p < 0.02) and a reduction in oxApoA-I (Δ = − 1.0 ± 2.6%, p < 0.02); this reduction was not significantly different from glimepiride. oxLDL showed a slight, but not significant increase in both treatment groups. Regression analysis showed a correlation between ΔoxApoA-I and ΔAGE (r = 0.30; p = 0.007) in all patients, while both of these parameters were unrelated to changes in HbA1c, HDL-C, duration of illness, or use of statins. Conclusions: Long-term treatment with pioglitazone was effective in reducing the oxidation of HDL, but not LDL in patients with DM2, while glimepiride didn’t. This finding seems to be associated to the change of glyco-oxidation status, not to any improvement in glycemic control or lipid profile. Trial registration: NCT00700856, ClinicalTrials.gov Registered June 18, 2008.
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- 2019
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26. Is the placental proteome impaired in well-controlled gestational diabetes?
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Silvia Burlina, Maria Grazia Dalfrà, Pietro Traldi, Annunziata Lapolla, Maura Brioschi, Silvia Visentin, Cristina Banfi, Burlina, S, Banfi, C, Brioschi, M, Visentin, S, Dalfra, M, Traldi, P, and Lapolla, A
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Blood Glucose ,Proteomics ,medicine.medical_specialty ,Glycated Hemoglobin A ,endocrine system diseases ,Proteome ,analysis ,Placenta ,01 natural sciences ,Mass Spectrometry ,human placenta ,Pregnancy ,Internal medicine ,medicine ,label-free LC-MS ,Humans ,Pathological ,Spectroscopy ,Chromatography, High Pressure Liquid ,Glycemic ,Glycated Hemoglobin ,Chromatography ,proteomic analysi ,010405 organic chemistry ,Chemistry ,010401 analytical chemistry ,Diabetes ,Placental tissue ,nutritional and metabolic diseases ,Human placenta ,medicine.disease ,proteomic analysis ,female genital diseases and pregnancy complications ,gestational diabetes ,E ,Case-Control Studies ,Diabetes, Gestational ,Female ,0104 chemical sciences ,gestational diabete ,Gestational diabetes ,Endocrinology ,High Pressure Liquid ,Galectin-1 ,Gestational ,label-free LC-MS E analysis - Abstract
In pregnancy complicated by gestational diabetes mellitus (GDM), the human placenta shows several pathological functional and structural changes, but the extent to which maternal glycemic control contributes to placental abnormalities remains unclear. The aim of this study was to profile and compare the proteome of placentas from healthy pregnant women and those with GDM, to investigate the placenta-specific protein composition and possible changes of its function in presence of GDM. Quantitative proteomic analysis, based on LC-MS E approach, revealed that higher (approximately 15% increase) levels of galectin 1 and collagen alpha-1 XIV chain (although the difference regarding the latter was at the limit of significance) were present in GDM samples, while heat shock 70kDa protein 1A/1B was less abundant in GDM placental tissue. These data seem to indicate that GDM, when well controlled, did not markedly affect the placental proteome.
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- 2018
27. A preliminary study on human placental tissue impaired by gestational diabetes: A comparison of gel-based versus gel-free proteomics approaches
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Silvia Visentin, Cristina Banfi, Roberta Seraglia, Marco Roverso, Maura Brioschi, Annunziata Lapolla, Pietro Traldi, Silvia Burlina, Roverso, M, Brioschi, M, Banfi, C, Visentin, S, Burlina, S, Seraglia, R, Traldi, P, and Lapolla, A
- Subjects
0301 basic medicine ,Proteomics ,Proteome ,Placenta ,Analytical chemistry ,Tandem mass spectrometry ,Mass spectrometry ,01 natural sciences ,Andrology ,03 medical and health sciences ,Label-free proteomics ,Pregnancy ,Tandem Mass Spectrometry ,Atomic and Molecular Physics ,medicine ,Humans ,Electrophoresis, Gel, Two-Dimensional ,Gel-based proteomic ,Gestational diabetes ,Spectroscopy ,Label-free proteomic ,Two-dimensional gel electrophoresis ,Chemistry ,010401 analytical chemistry ,General Medicine ,Gel-based proteomics ,Human placenta ,Atomic and Molecular Physics, and Optics ,medicine.disease ,0104 chemical sciences ,Matrix-assisted laser desorption/ionization ,Diabetes, Gestational ,030104 developmental biology ,medicine.anatomical_structure ,Gestational diabete ,Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization ,Female ,and Optics - Abstract
Gestational diabetes (GDM) is the most common complication of pregnancy and it is associated with maternal and fetal short- and long-term consequences. GDM modifies placental structure and function, but many of the underlying mechanisms are still unclear. The aim of this study is to develop and compare two different methods, based respectively on gel-based and gel-free proteomics, in order to investigate the placental proteome in the absence or in the presence of GDM and to identify, through a comparative approach, possible changes in protein expression due to the GDM condition. Placenta homogenates obtained by pooling six control samples and six samples from GDM pregnant women were analyzed by two-dimensional (2D) electrophoresis coupled with mass spectrometry [nano-liquid chromatography (nano-LC) tandem mass spectrometry (MS/MS) and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS)] and by a label-free mass spectrometry method based on LC-MSE. The gel-based approach highlights 13 over-expressed proteins and 16 under-expressed proteins, while the label-free method shows the over-expression of 10 proteins and the under-expression of nine proteins. As regards 2D gel electrophoresis, a comparison between two different protein identification methods, based respectively on nLC-electrospray ionization-MS/MS and MALDI-MS/MS, was performed taking into consideration the sequence coverage, the MASCOT score and the exponentially modified protein abundance index. The analysis of the complex proteome through an integrated strategy revealed that the quantitative gel-free and label-free MS approach might be suitable to identify candidate markers of GDM.
- Published
- 2016
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- View/download PDF
28. Dietary intake and major food sources of polyphenols in people with type 2 diabetes: The TOSCA.IT Study
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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, Galluzzo†, 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
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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
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- 2016
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29. Abitudini alimentari dei pazienti con diabete di tipo 2: Impatto delle tradizioni gastronomiche regionali. Uno studio di popolazione
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M. Vitale1, M. Masulli1, A. Turco1, O. Ciano1, G. Riccardi1, A.A. Rivellese1, P. Auletta, A.C. Babini, M. Boemi, E. Bonora, S. Burlina, R. Buzzetti, P. Calatola, G. Capuano, M. Cignarelli, M. Cigolini, G. Citro, G. Clemente2, L. Corsi, M. Cutolo, E. Dall'Aglio, S. Del Prato, G. De Simone, G. Di Cianni, M.A. Dolci, E. D'Ugo, C. Giordano, R. Iannarelli, C. Iovine, D. Lauro, S. Leotta, C. Mazzucchelli, V. Montani, G. Perriello, G. Romano, F. Romeo, S. Squatrito, B. Tizio, F. Tomasi, L. Tonutti, R. Trevisan, O. Vaccaro1 (a nome del Gruppo di Studio TOSCA.IT), Vitale, Marilena, Masulli, Maria, Turco, ANNA AMELIA, Ciano, Ornella, Riccardi, Gabriele, Rivellese, ANGELA ALBAROSA, Auletta, P., Babini, A. C., Boemi, M., Bonora, E., Burlina, S., Buzzetti, R., Calatola, P., Capuano, G., Cignarelli, M., Cigolini, M., Citro, G., Clemente, G., Corsi, L., Cutolo, M., Dall'Aglio, E., Del Prato, S., De Simone, G., Di Cianni, G., Dolci, M. A., D'Ugo, E., Giordano, Ciro, Iannarelli, R., Iovine, Ciro, Lauro, D., Leotta, S., Mazzucchelli, C., Montani, V., Perriello, G., Romano, G., Romeo, F., Squatrito, S., Tizio, B., Tomasi, F., Tonutti, L., Trevisan, R., and Vaccaro, Olga
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Diet composition ,Dietary habits ,Endocrinology, Diabetes and Metabolism ,Type 2 diabetes ,Nutritional recommendation ,Dietary habit ,Type 2 diabete ,Regional differences ,Endocrinology ,Internal Medicine ,Settore MED/13 - Endocrinologia ,Diabetes and Metabolism ,Regional difference - Abstract
RIASSUNTO Nonostante gli sforzi per diffondere e implementare le raccomandazioni nutrizionali per il trattamento del diabete, la loro applicazione nella pratica clinica è ancora largamente insufficiente. Tra le possibili ragioni va considerato il fatto che le abitudini alimentari risentono molto delle tradizioni gastronomiche locali. Lo studio si propone di valutare le abitudini alimentari delle persone con diabete in tre macroaree geografiche italiane, nord, centro e sud, per studiare in che misura le tradizioni gastronomiche locali possano influenzare l'adesione alle raccomandazioni nutrizionali. Sono stati studiati 1786 pazienti diabetici di tipo 2; le abitudini alimentari sono state indagate con un questionario alimentare semiquantitativo di frequenza validato (EPIC, European Prospective Investigation on Cancer and Nutrition). L'introito energetico è sovrapponibile nelle 3 macroaree geografiche, ma gli alimenti che contribuiscono alla composizione della dieta sono diversi a seconda della locazione geografica: al nord si osserva un maggiore consumo di carne, salumi e grassi animali; al sud, un maggiore consumo di pane integrale e legumi. Questo si traduce in una differente composizione in nutrienti della dieta: il consumo di grassi totali, grassi saturi e polinsaturi risulta significativamente più basso al sud e al centro rispetto al nord (p < 0,05); il contrario si osserva, invece, per i carboidrati totali e la fibra alimentare (p < 0,05). Infine, la proporzione di pazienti che aderiscono alle raccomandazioni nutrizionali è generalmente scarsa sia per il consumo di fibra, mediamente inferiore rispetto a quanto raccomandato, sia per il consumo di grassi saturi, mediamente superiore ai livelli consigliati. In conclusione, le raccomandazioni nutrizionali sono scarsamente seguite su tutto il territorio nazionale; si osservano, tuttavia, significative differenze geografiche verosimilmente dovute all'influenza delle tradizioni gastronomiche locali che vanno tenute in conto per migliorare l'adesione dei pazienti alle raccomandazioni dietetiche.
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- 2013
30. Screening for diabetic retinopathy with artificial intelligence: a real world evaluation.
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Burlina S, Radin S, Poggiato M, Cioccoloni D, Raimondo D, Romanello G, Tommasi C, and Lombardi S
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- Humans, Female, Male, Middle Aged, Aged, Sensitivity and Specificity, Adult, Photography methods, Italy epidemiology, Machine Learning, Diabetic Retinopathy diagnosis, Artificial Intelligence, Mass Screening methods
- Abstract
Aim: Periodic screening for diabetic retinopathy (DR) is effective for preventing blindness. Artificial intelligence (AI) systems could be useful for increasing the screening of DR in diabetic patients. The aim of this study was to compare the performance of the DAIRET system in detecting DR to that of ophthalmologists in a real-world setting., Methods: Fundus photography was performed with a nonmydriatic camera in 958 consecutive patients older than 18 years who were affected by diabetes and who were enrolled in the DR screening in the Diabetes and Endocrinology Unit and in the Eye Unit of ULSS8 Berica (Italy) between June 2022 and June 2023. All retinal images were evaluated by DAIRET, which is a machine learning algorithm based on AI. In addition, all the images obtained were analysed by an ophthalmologist who graded the images. The results obtained by DAIRET were compared with those obtained by the ophthalmologist., Results: We included 958 patients, but only 867 (90.5%) patients had retinal images sufficient for evaluation by a human grader. The sensitivity for detecting cases of moderate DR and above was 1 (100%), and the sensitivity for detecting cases of mild DR was 0.84 ± 0.03. The specificity of detecting the absence of DR was lower (0.59 ± 0.04) because of the high number of false-positives., Conclusion: DAIRET showed an optimal sensitivity in detecting all cases of referable DR (moderate DR or above) compared with that of a human grader. On the other hand, the specificity of DAIRET was low because of the high number of false-positives, which limits its cost-effectiveness., Competing Interests: Declarations. Conflict of interest: The authors declare that they have no conflicts of interest. Ethics approval: Approval was obtained from the ethics committee of ULSS8 Berica. The procedures used in this study adhered to the tenets of the Declaration of Helsinki. Informed consent: Informed consent was obtained from all individual participants included in the study., (© 2024. Springer-Verlag Italia S.r.l., part of Springer Nature.)
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- 2024
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31. Lipid profile in women of different ethnicity with gestational diabetes: Relationship with fetal growth.
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Dalfrà MG, Burlina S, Ragazzi E, Pastrolin S, Sartore G, and Lapolla A
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- Infant, Newborn, Pregnancy, Female, Humans, Ethnicity, Fetal Development, Fetal Macrosomia, Cholesterol, Diabetes, Gestational
- Abstract
Aims/introduction: Pregnancy complicated by gestational diabetes mellitus (GDM) is characterized by excessive insulin resistance that impairs the metabolism of glucose and lipids. the aim of the study was to examine lipid profiles during pregnancy of women with GDM, and its impact on fetal growth in a multiethnic population., Materials and Methods: The study included 322 pregnant women of different ethnicity with GDM attending a clinical unit specializing in metabolic diseases., Results: The area under the curve for the 75-g oral glucose tolerance test and glycated hemoglobin were significantly different among all groups. At the time of being diagnosed with GDM, Asian and African mothers had significantly lower levels of total and low-density liprotein cholesterol than European mothers (P < 0.001). The trend for high-density liprotein cholesterol was similar. Triglycerides levels in the Asian group (193.6 ± 65.5 mg/dL) were higher than in the African group (133.2 ± 49.6 mg/dL, P < 0.001), whereas the European group presented intermediate values (175.8 ± 58.8 mg/dL), which differed significantly only versus the African group (P < 0.001). Pre-partum lipid profiles showed a trend quite similar to that observed at diagnosis. The newborn's birthweight was significantly different, with that of African women (3,437 ± 503 g) being the highest, followed by that of European women (3,294 ± 455 g) and of Asian women (3,006 ± 513 g). The rates of macrosomia showed a trend with higher values in the African group (13.5%), followed by the European group (5.7%, P = 0.1162), whereas that of the Asian group was zero (P = 0.0023 vs African)., Conclusions: Our data show that lipid profiles in women with GDM differ by ethnicity. The impact of lipid profile on fetal growth is limited and uninfluenced by ethnicity., (© 2023 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.)
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- 2024
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32. Commentary from the Italian Association of Medical Diabetologists (AMD) and Italian Society of Diabetology (SID) Interassociative Diabetes and Pregnancy Study Group on the screening and diagnostic methods for gestational diabetes: An open debate.
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Bianchi C, Resi V, Manicardi E, Burlina S, Sculli MA, Formoso G, and Sciacca L
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The current board of the interassociative Italian association of medical diabetologists (AMD)/Italian society of diabetology (SID) Diabetes and Pregnancy Italian Study Group commented about two recent papers published in the New England Journal of Medicine that investigated the screening and diagnostic methods for gestational diabetes mellitus (GDM). It is well recognized that effective screening and accurate, early diagnosis of GDM contributes to better management of these women in order to reduce adverse maternal and fetal/neonatal outcomes. However, there is worldwide controversy concerning which screening (selective or universal; one step or two steps) and which diagnostic criteria (glucose thresholds) are appropriate. The main findings of these papers are discussed along with their implications for the management of pregnant women., Competing Interests: Conflict of interest All authors declare no conflict of interest., (Copyright © 2023 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)
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- 2023
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33. Position paper of the Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), and the Italian Study Group of Diabetes in pregnancy: Metformin use in pregnancy.
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Sciacca L, Bianchi C, Burlina S, Formoso G, Manicardi E, Sculli MA, and Resi V
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- Pregnancy, Infant, Newborn, Child, Female, Humans, Hypoglycemic Agents therapeutic use, Hypoglycemic Agents pharmacology, Obesity complications, Obesity drug therapy, Obesity epidemiology, Metformin therapeutic use, Metformin pharmacology, Diabetes Mellitus, Type 2 drug therapy, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 complications, Diabetes, Gestational drug therapy, Diabetes, Gestational epidemiology, Polycystic Ovary Syndrome complications, Polycystic Ovary Syndrome drug therapy
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Objective: This document purpose is to create an evidence-based position statement on the role of metformin therapy in pregnancy complicated by obesity, gestational diabetes (GDM), type 2 diabetes mellitus (T2DM), polycystic ovary syndrome (PCOS) and in women undergoing assisted reproductive technology (ART)., Methods: A comprehensive review of international diabetes guidelines and a search of medical literature was performed to identify studies presenting data on the use of metformin in pregnancy. The document was approved by the councils of the two scientific societies., Results: In condition affecting the fertility, as PCOS, metformin use in pre-conception or early in pregnancy may be beneficial for clinical pregnancy, even in ART treatment, and in obese-PCOS women may reduce preterm delivery. In obese women, even in the presence of GDM or T2DM, metformin use in pregnancy is associated with a lower gestational weight gain. In pregnancy complicated by diabetes (GDM or T2DM), metformin improves maternal glycemic control and may reduce insulin dose. Neonatal and infant outcomes related to metformin exposure in utero are lacking. Metformin use in women with GDM or T2DM is associated with lower birth weight. However, an increased tendency to overweight-obesity has been observed in children, later in life., Conclusions: Metformin may represent a therapeutic option in selected women with obesity, PCOS, GDM, T2DM, and in women undergoing ART. However, more research is required specifically on the long-term effects of in utero exposition to metformin., (© 2023. The Author(s).)
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- 2023
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34. Anti-diabetic combination therapy with pioglitazone or glimepiride added to metformin on the AGE-RAGE axis: a randomized prospective study.
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Ragazzi E, Burlina S, Cosma C, Chilelli NC, Lapolla A, and Sartore G
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- Humans, Pioglitazone, Prospective Studies, Diabetes Mellitus, Type 2 drug therapy, Metformin therapeutic use
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Introduction: The ratio between advanced glycation end products (AGEs) and soluble form of receptor (s-RAGE) has been proposed as a risk marker for renal and cardiovascular diseases. The aim of this study was to evaluate in the diabetes condition the influence of two different oral anti-diabetic treatments on the AGE/s-RAGE ratio, during a 5-year observation period., Methods: Seventy-three patients with type 2 diabetes mellitus were randomly assigned to a drug therapy with pioglitazone or glimepiride, combined to metformin. Each subject was evaluated at baseline and after 5 years of treatment., Results: In both groups s-RAGE levels did not significantly vary, while the levels of AGE and AGE/s-RAGE were both significantly reduced, basal compared to 5-year values. Within pioglitazone group, as well within glimepiride group, significant variations (Δ, as difference between 5 years of treatment minus basal) were observed for AGE (Δ= -21.1±13.4 µg/ml, P <0.001 for pioglitazone; Δ= -14.4±11.4 µg/ml, P <0.001 for glimepiride) and in AGE/s-RAGE (Δ= -0.037±0.022 µg/pg, P <0.001 for pioglitazone; Δ= -0.024±0.020µg/pg, P <0.001 for glimepiride), suggesting an average decrease of the parameters by more than 50% in both treatments. Pioglitazone was more effective than glimepiride in reducing AGE/s-RAGE ratio after 5 years of therapy., Conclusion: These data can help to explain the benefits of oral anti-diabetic therapy in relation to the reduction of cardiovascular risk, as suggested by variations in AGE/s-RAGE ratio as biochemical marker of endothelial function; in particular, treatment with pioglitazone seems to offer greater long-term benefit on AGE-RAGE axis., 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 Ragazzi, Burlina, Cosma, Chilelli, Lapolla and Sartore.)
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- 2023
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35. Pregnancy after Bariatric Surgery: Nutrition Recommendations and Glucose Homeostasis: A Point of View on Unresolved Questions.
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Burlina S, Dalfrà MG, and Lapolla A
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- Child, Female, Humans, Pregnancy, Obesity complications, Homeostasis, Glucose, Nausea, Pregnancy Outcome, Obesity, Maternal complications, Bariatric Surgery adverse effects, Obesity, Morbid surgery, Malnutrition complications, Pregnancy Complications epidemiology
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Obesity is increasing in all age groups and, consequently, its incidence has also risen in women of childbearing age. In Europe, the prevalence of maternal obesity varies from 7 to 25%. Maternal obesity is associated with short- and long-term adverse outcomes for both mother and child, and it is necessary to reduce weight before gestation to improve maternal and fetal outcomes. Bariatric surgery is an important treatment option for people with severe obesity. The number of surgeries performed is increasing worldwide, even in women of reproductive age, because improving fertility is a motivating factor. Nutritional intake after bariatric surgery is dependent on type of surgery, presence of symptoms, such as pain and nausea, and complications. There is also a risk of malnutrition after bariatric surgery. In particular, during pregnancy following bariatric surgery, there is a risk of protein and calorie malnutrition and micronutrient deficiencies due to increased maternal and fetal demand and possibly due to reduction of food intake (nausea, vomiting). As such, it is necessary to monitor and manage nutrition in pregnancy following bariatric surgery with a multidisciplinary team to avoid any deficiencies in each trimester and to ensure the well-being of the mother and fetus.
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- 2023
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36. A case report on use of dulaglutide during the first weeks of pregnancy in woman affected by type 2 diabetes mellitus.
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Burlina S, Dalfrà MG, Caprino R, and Lapolla A
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- Female, Humans, Pregnancy, Glucagon-Like Peptides therapeutic use, Hypoglycemic Agents therapeutic use, Immunoglobulin Fc Fragments therapeutic use, Recombinant Fusion Proteins therapeutic use, Glucagon-Like Peptide-1 Receptor, Blood Glucose, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 drug therapy
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- 2023
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37. Knowledge, attitude, and practice of the 2009 Institute of Medicine (IOM) recommendations on the nutritional management of diabetes in pregnancy: an online national survey.
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Formoso G, Bianchi C, Burlina S, Manicardi E, Sculli MA, Resi V, and Sciacca L
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- Female, Humans, Pregnancy, Body Mass Index, Cross-Sectional Studies, Health Knowledge, Attitudes, Practice, National Academies of Science, Engineering, and Medicine, U.S., Health and Medicine Division, Pregnancy Outcome, United States epidemiology, Weight Gain, Diabetes Mellitus therapy, Gestational Weight Gain, Pregnancy Complications
- Abstract
Aims: As recommended by the Institute of Medicine (IOM), health practitioners should encourage a healthy nutrition and adequate weight gain during pregnancy in order to ensure favorable pregnancy and fetal outcomes, and to prevent diseases later in life for both mother and child. The purpose of this online survey was to determine the knowledge, attitude, and practice of the 2009 IOM recommendations among healthcare professionals managing nutritional therapy in pregnancies complicated by diabetes in Italy., Methods: A cross-sectional survey was conducted by using an online self-administered questionnaire undertaken between October and December 2021., Results: Of the 220 participants 89% were diabetologists/endocrinologists/internal medicine specialists and 11% dietitians/nutritionists. The survey found that the 53% of respondents provide a personalized diet to pregnant women with diabetes, while 32% a standard diet plan and only 15% healthy dietary advice. The 69% of the participants investigated for appropriate gestational weight gain, mainly based on pre-pregnancy BMI (96%), gestational weight gain (GWG) at first prenatal visit (80%) and presence of twin pregnancy (58%). Maternal weight gain was evaluated at each regularly scheduled prenatal visit and compared with IOM recommendations for the 87% of healthcare professionals. Diet plan was periodically re-evaluated and/or modified (90% of participants), based on inadequate maternal weight gain and/or fetal growth abnormalities (78%), trimester transition (53%), changes in physical activity and/or a "feel hungry" (50%)., Conclusions: This survey reported the knowledge and attitude of IOM guidelines and the nutritional knowledge and practice of Italian professionals on the nutritional management of diabetes in pregnancy. The application of these recommendations seemed more feasible in clinics/team dedicated to "Diabetes in Pregnancy"., (© 2022. The Author(s).)
- Published
- 2022
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38. Weight gain during pregnancy: A narrative review on the recent evidences.
- Author
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Dalfra' MG, Burlina S, and Lapolla A
- Subjects
- Birth Weight, Body Mass Index, Cesarean Section, Female, Humans, Infant, Newborn, Obesity complications, Pregnancy, Pregnancy Outcome, Weight Gain, Gestational Weight Gain, Pregnancy Complications
- Abstract
Gestational weight gain is necessary for the normal fetus development, in fact a series of studies have evidenced that both low and excessive gestational weight gain is associated with negative fetal-neonatal outcomes. So, evidences on the optimal gestational weight gain across the ranges of the pre-pregnancy maternal body mass index are necessary. In this context, while for normal weight and underweight the recommendations of IOM are clearly stated and supported by well designed and conducted clinical studies, those for the obese pregnant women are even today debated. Pre-pregnancy obesity is associated with high risk to develop hypertension, gestational diabetes, cesarean section and high birth weight. The Institute of Medicine guidelines, in 2009, recommended that women with obesity gain 11-20 lb at a rate of 0.5 lb/week during the second and third trimesters of pregnancy. Successively, taking into account a series of meta-analysis, the American College of Obstetricians and Gynecologists emphasized that the IOM weight gain targets for obese pregnant women are too high. However the high risk to have babies small for gestational age, related to a low weight gain or a losing of weight during pregnancy, has also been demonstrated. More recent studies have taken into consideration the maternal and fetal outcomes of obese pregnant women with different obesity class (I,II,III) and different weight gain during pregnancy. The analysis of these studies, discussed in this narrative review, show that the appropriate gestational weight gain should be personalized considering the three obesity class; furthermore both an upper and lower limit of gestational weight gain should be reconsidered in order to prevent the negative maternal and fetal outcomes in these women., (Copyright © 2022 Elsevier B.V. All rights reserved.)
- Published
- 2022
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39. Can the First Fasting Plasma Glucose Test in Pregnancy Predict Subsequent Gestational Complications?
- Author
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Burlina S, Dalfrà MG, Belloni P, Ottanelli S, Mecacci F, Mello G, and Lapolla A
- Abstract
Objective: To determine the best cut-off level of pregnant women's first fasting plasma glucose (FFPG) test results for the prediction of subsequent onset of gestational diabetes mellitus (GDM) and to examine the association between FFPG and maternal and neonatal outcomes in a large Caucasian population., Methods: 1437 medical records of women with singleton pregnancies followed up between 2015 and 2018 were retrospectively analyzed. Data on FFPG tested in the first trimester and 75 g oral glucose tolerance test (OGTT) findings performed according to IADPSG criteria and Italian guidelines were collected and evaluated. The women's clinical and metabolic characteristics (age, prepregnancy body mass index (BMI), previous pregnancies complicated by GDM, timing of delivery, and gestational hypertension) were also recorded. The fetal variables considered were being large for gestational age (LGA) or small for gestational age (SGA), macrosomia, and hypoglycemia., Results: Among the 1437 pregnant women studied, 684 had a normal glucose tolerance (NGT) and 753 developed GDM. In a univariate analysis FFPG ≥92 mg/dl predicts the risk of GDM with an OR = 2.36 (95% CI 1.930-3.186; p < 0.001). In multivariate analysis, after adjusting for principal risk factors of GDM (BMI, previous GDM, age >35 years, family history of diabetes) FFPG ≥92 mg/dl was associated with the risk of GDM (OR = 1.92; 95% CI 1.488-2.492; p < 0.001). In univariate analysis, FFPG ≥92 mg/dl predict the risk of insulin therapy in GDM women with a OR = 1.88 (95% CI 1.230-2.066; p < 0.001). As regards LGA, in a multivariate analysis, after adjusting for BMI, FFPG ≥92 mg/dl was associated with the risk of LGA only in NGT women (OR = 2.34; 95% CI 1.173-4.574; p =0.014), but not in GDM women. FFPG was not associated with other maternal or neonatal outcomes., Conclusions: FFPG ≥92 mg/dl is related to GDM diagnosis and to the need of insulin therapy if GDM is diagnosed. An early diagnosis and a prompt start of insulin therapy are essential to prevent maternal and fetal complications., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2022 Silvia Burlina et al.)
- Published
- 2022
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40. Genetics and Epigenetics: New Insight on Gestational Diabetes Mellitus.
- Author
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Dalfrà MG, Burlina S, Del Vescovo GG, and Lapolla A
- Subjects
- Diabetes, Gestational genetics, Female, Genome-Wide Association Study, Humans, Pregnancy, Pregnancy Complications genetics, Diabetes, Gestational pathology, Epigenesis, Genetic, Genetic Linkage, Genetic Markers, Genetic Predisposition to Disease, Pregnancy Complications pathology
- Abstract
Gestational diabetes mellitus (GDM) is the most common metabolic complication of pregnancy, with a prevalence that has increased significantly in the last decade, coming to affect 12-18% of all pregnancies. GDM is believed to be the result of a combination of genetic, epigenetic and environmental factors. Following the identification of susceptibility genes for type 2 diabetes by means of genome-wide association studies, an association has also been demonstrated between some type 2 diabetes susceptibility genes and GDM, suggesting a partial similarity of the genetic architecture behind the two forms of diabetes. More recent genome-wide association studies, focusing on maternal metabolism during pregnancy, have demonstrated an overlap in the genes associated with metabolic traits in gravid and non-gravid populations, as well as in genes apparently unique to pregnancy. Epigenetic changes-such as DNA methylation, histone modifications and microRNA gene silencing-have also been identified in GDM patients. Metabolomics has been used to profile the metabolic state of women during pregnancy, based on the measurement of numerous low-molecular-weight metabolites. Measuring amino acids and conventional metabolites has revealed changes in pregnant women with a higher insulin resistance and high blood glucose levels that resemble the changes seen in non-gravid, insulin-resistant populations. This would suggest similarities in the metabolic profiles typical of insulin resistance and hyperglycemia whether individuals are pregnant or not. Future studies combining data obtained using multiple technologies will enable an integrated systems biology approach to maternal metabolism during a pregnancy complicated by GDM. This review highlights the recent knowledge on the impact of genetics and epigenetics in the pathophysiology of GDM and the maternal and fetal complications associated with this pathology condition., 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 © 2020 Dalfrà, Burlina, Del Vescovo and Lapolla.)
- Published
- 2020
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41. Adherence to a follow-up program after gestational diabetes.
- Author
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Dalfrà MG, Burlina S, Del Vescovo GG, Anti F, and Lapolla A
- Subjects
- Adult, Aftercare methods, Aftercare statistics & numerical data, Blood Glucose metabolism, Diabetes Mellitus, Type 2 epidemiology, Diabetes, Gestational blood, Diabetes, Gestational epidemiology, Female, Follow-Up Studies, Glucose Intolerance blood, Glucose Intolerance epidemiology, Glucose Intolerance rehabilitation, Glucose Tolerance Test, Humans, Prediabetic State blood, Prediabetic State epidemiology, Prediabetic State therapy, Pregnancy, Retrospective Studies, Risk Factors, Diabetes Mellitus, Type 2 prevention & control, Diabetes, Gestational therapy, Patient Compliance statistics & numerical data, Postpartum Period blood, Preventive Health Services statistics & numerical data
- Abstract
Aim: The aim of this study was to examine attendance for early postpartum follow-up among women with gestational diabetes mellitus (GDM), and to identify factors that influenced their likelihood of attending., Methods: One thousand eight hundred and nineteen women with GDM were retrospectively analyzed. During pregnancy, the following data were collected: age, family history of diabetes, ethnicity, prepregnancy BMI, fasting plasma glucose, glycated hemoglobin, gestational week of GDM diagnosis, timing and mode of delivery, newborn's birth weight and length. Glycemia and insulinemia during OGTT, lipid profile and postpartum BMI were assessed at follow-up. Based on the OGTT, women were classified as having normal glucose tolerance (NGT) or abnormal glucose tolerance (AGT), which included impaired fasting glucose (IFG), impaired glucose tolerance (IGT), IFG + IGT, and DM2. Factors predicting postpartum attendance for follow-up and onset of AGT were considered., Results: Of the 889 (48.9%) who attended the scheduled postpartum OGTT, 741 (83.4%) had NGT, while 148 (16.6%) had AGT (IFG 6.7%, IGT 7.7%, IFG + IGT 0.8%, DM2 1.5%). The predictors of adherence to follow-up were: not belonging to an immigrant group; family history of DM2; and insulin therapy in pregnancy. The same factors were also predictive of AGT. Our data suggest a role of ethnicity in both attendance for postpartum follow-up and its outcome., Conclusion: Despite efforts to provide care for women with GDM, postpartum screening rates are still low among Italian women, and especially among immigrants. Hence, the need to improve these patients' awareness of the severe risk of developing diabetes after pregnancy, concentrating efforts especially on women belonging to the most at risk ethnic groups.
- Published
- 2020
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42. Celiac Disease and Pregnancy Outcomes in Patients with Gestational Diabetes Mellitus.
- Author
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Dalfrà MG, Del Vescovo GG, Burlina S, Baldan I, Pastrolin S, and Lapolla A
- Abstract
Aim: Gestational diabetes mellitus (GDM) and celiac disease, if not diagnosed and properly treated, are associated with adverse outcomes of pregnancy. The aim of our study was to examine pregnancies complicated by GDM in celiac and nonceliac women in terms of their metabolic parameters and maternal and fetal outcomes., Methods: The study involved 60 women with GDM, 20 with and 40 without celiac disease. Maternal clinical and metabolic parameters (glucose and insulin levels in the oral glucose tolerance test (OGTT), fasting plasma glucose, HbA1c, lipid profile, prepregnancy BMI, gestational weight gain, and chronic diseases), pregnancy outcomes (gestational hypertension, pre-eclampsia, eclampsia, time, and mode of delivery), and fetal parameters (weight and length at birth, and neonatal complications) were recorded., Results: The two groups did not differ significantly in maternal parameters other than blood glucose levels at 120' in the diagnostic OGTT (141.2 ± 35.2 vs 161.2 ± 35.4, mg/dl, p =0.047), prepartum cLDL (127.2 ± 43.5 vs 179.6 ± 31.7 mg/dl, p ≤ 0.001), and total cholesterol (229.0 ± 45.9 vs 292.5 ± 42.1 mg/dl, p ≤ 0.001), which were significantly lower in celiac women than in nonceliac controls. Children born from celiac women had a significantly higher birth weight (3458.1 ± 409.8 vs 3209.0 ± 432.7 g, p =0.044) and ponderal index (2.89 ± 0.32 vs 2.66 ± 0.25 g/cm
3 , p =0.006) and were more likely to be large for gestational age (27.8% vs 2.5%, p =0.012). Analyzing the composition of the celiac and nonceliac women's diet showed that, for the same amount of kilocalories, the gluten-free diet was associated with a slight increase in the amount of carbohydrates (49.75% vs 48.54%) and a reduction in the amount of protein (21.10% vs 23.31%) and especially of fiber (9.84% vs 12.71%)., Conclusions: Celiac women with GDM have much the same pregnancy outcomes as nonceliac women with GDM, except for fetal overgrowth. Gluten-free food, being richer in carbohydrates and less rich in fiber and protein, could have a role in fetal growth in celiac women., Competing Interests: The authors have no conflicts of interest to disclose regarding the publication of this paper., (Copyright © 2020 Maria Grazia Dalfrà et al.)- Published
- 2020
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43. Role of fructosamine-3-kinase in protecting against the onset of microvascular and macrovascular complications in patients with T2DM.
- Author
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Sartore G, Ragazzi E, Burlina S, Paleari R, Chilelli NC, Mosca A, Avemaria F, and Lapolla A
- Subjects
- Glycated Hemoglobin metabolism, Glycosylation, Humans, Phosphotransferases (Alcohol Group Acceptor) metabolism, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 genetics
- Abstract
Introduction: Microangiopathic and macroangiopathic complications are the main cause of morbidity and mortality in the diabetic population. Numerous publications have highlighted the role of glycation in the onset of complications of diabetes. In this context, the detection of fructosamine-3-kinase (FN3K)-an enzyme capable of counteracting the effect of hyperglycemia by intervening in protein glycation-has attracted great interest. Several studies have linked FN3K genetic variability to its enzymatic activity and glycated hemoglobin (HbA1c) levels. Here, we investigated the role of FN3K polymorphisms in the development of microvascular and macrovascular complications of diabetes., Research Design and Methods: The anthropometric and biochemical parameters, and any medical history of microangiopathic and macroangiopathic complications, were documented in a sample of 80 subjects with type 2 diabetes. All subjects were screened for FN3K gene and analyzed for the combination of three polymorphisms known to be associated with its enzymatic activity (rs3859206 and rs2256339 in the promoter region and rs1056534 in exon 6)., Results: The combination of allelic variants of FN3K polymorphisms resulted in 13 distinct genotypic variants within the cohort. Comparison between genotypes showed no significant differences in terms of demographic, anthropometric and biochemical parameters, risk markers and long-term complications, except for a higher age and vitamin E levels associated with the genotype presenting GG at position -385, TT at position -232, and CC at c.900 A. Evaluating the microangiopathic and macroangiopathic complications as a whole, we found that they appeared significantly less present in this genotype compared with all other genotypes ( p =0.0306)., Conclusions: The group of patients carrying the favorable allele for the three polymorphisms of the FN3K gene revealed less severe microangiopathy and macroangiopathy, suggesting a protective role of this genotype against the onset of the complications of diabetes., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2020
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44. Long-term effect of pioglitazone vs glimepiride on lipoprotein oxidation in patients with type 2 diabetes: a prospective randomized study.
- Author
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Sartore G, Chilelli NC, Seraglia R, Ragazzi E, Marin R, Roverso M, Cosma C, Vaccaro O, Burlina S, and Lapolla A
- Subjects
- Aged, Apolipoprotein A-I blood, Blood Glucose analysis, Cholesterol, HDL blood, Female, Glycation End Products, Advanced blood, Humans, Lipids blood, Lipoproteins, HDL metabolism, Lipoproteins, LDL blood, Male, Middle Aged, Oxidation-Reduction, Thiazolidinediones therapeutic use, Diabetes Mellitus, Type 2 drug therapy, Hypoglycemic Agents therapeutic use, Lipoproteins metabolism, Pioglitazone therapeutic use, Sulfonylurea Compounds therapeutic use
- Abstract
Aims: Type 2 diabetes (DM2) is associated to oxidative modifications of high-density lipoproteins (HDL), which can interfere with their function. Pioglitazone has proved effective in raising HDL cholesterol (HDL-C) and lowering small dense low-density lipoprotein (LDL), but no clinical studies have examined its effect on lipoprotein oxidation in patients with DM2., Methods: We assessed the effect of pioglitazone vs glimepiride after 1 year on HDL oxidation, expressed as relative abundance of peptides containing Met
112 O in ApoA-I (oxApoA-I) estimated by mass spectrometry (MALDI/TOF/TOF), in 95 patients with DM2. The oxLDL and AGE were quantified by ELISA., Results: Patients receiving pioglitazone showed a significant increase in the concentration of ApoA-I (Δ = 7.2 ± 14.8 mg/dL, p < 0.02) and a reduction in oxApoA-I (Δ = - 1.0 ± 2.6%, p < 0.02); this reduction was not significantly different from glimepiride. oxLDL showed a slight, but not significant increase in both treatment groups. Regression analysis showed a correlation between ΔoxApoA-I and ΔAGE (r = 0.30; p = 0.007) in all patients, while both of these parameters were unrelated to changes in HbA1c, HDL-C, duration of illness, or use of statins., Conclusions: Long-term treatment with pioglitazone was effective in reducing the oxidation of HDL, but not LDL in patients with DM2, while glimepiride didn't. This finding seems to be associated to the change of glyco-oxidation status, not to any improvement in glycemic control or lipid profile., Trial Registration: NCT00700856, ClinicalTrials.gov Registered June 18, 2008.- Published
- 2019
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45. Is the placental proteome impaired in well-controlled gestational diabetes?
- Author
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Burlina S, Banfi C, Brioschi M, Visentin S, Dalfrà MG, Traldi P, and Lapolla A
- Subjects
- Blood Glucose analysis, Case-Control Studies, Chromatography, High Pressure Liquid methods, Female, Glycated Hemoglobin analysis, Humans, Mass Spectrometry methods, Pregnancy, Proteomics methods, Diabetes, Gestational metabolism, Placenta metabolism, Proteome analysis
- Abstract
In pregnancy complicated by gestational diabetes mellitus (GDM), the human placenta shows several pathological functional and structural changes, but the extent to which maternal glycemic control contributes to placental abnormalities remains unclear. The aim of this study was to profile and compare the proteome of placentas from healthy pregnant women and those with GDM, to investigate the placenta-specific protein composition and possible changes of its function in presence of GDM. Quantitative proteomic analysis, based on LC-MS
E approach, revealed that higher (approximately 15% increase) levels of galectin 1 and collagen alpha-1 XIV chain (although the difference regarding the latter was at the limit of significance) were present in GDM samples, while heat shock 70 kDa protein 1A/1B was less abundant in GDM placental tissue. These data seem to indicate that GDM, when well controlled, did not markedly affect the placental proteome., (© 2019 John Wiley & Sons, Ltd.)- Published
- 2019
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46. Clinical and biochemical approach to predicting post-pregnancy metabolic decompensation.
- Author
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Burlina S, Dalfrà MG, and Lapolla A
- Subjects
- Diabetes Mellitus, Type 2 epidemiology, Female, Humans, Italy epidemiology, Metabolic Syndrome epidemiology, Pregnancy, Prevalence, Diabetes Mellitus, Type 2 prevention & control, Exercise, Life Style, Metabolic Syndrome prevention & control, Postpartum Period
- Abstract
The prevalence of gestational diabetes in the developed world is increased and parallels that of obesity. Apart from the maternal and fetal complications occurring during pregnancy, GDM is characterized by a high subsequent risk of type 2 diabetes, metabolic syndrome, and cardiovascular disease. In this paper, we outline the different factors to consider in assessing the future risk of diabetes developing in women with a history of GDM. Looking at the modifiable risk factors, it is worth noting that promoting a healthy diet and lifestyle before (physical activity), during and after pregnancy (breast feeding) in women of fertile age are fundamental to the success of efforts to reduce the burden of diabetes in these young people., (Copyright © 2018 Elsevier B.V. All rights reserved.)
- Published
- 2018
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47. Antioxidant capacity in patients with type 2 diabetes: a preliminary investigation on gender-specific differences in an Italian population.
- Author
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Chilelli NC, Cosma C, Burlina S, Plebani M, and Lapolla A
- Subjects
- Adult, Aged, Antioxidants analysis, Blood Glucose analysis, Diabetes Mellitus, Type 2 diagnosis, Female, Glycated Hemoglobin analysis, Glycated Hemoglobin metabolism, Humans, Italy, Lipids analysis, Male, Middle Aged, Superoxide Dismutase analysis, Superoxide Dismutase metabolism, Vitamin E metabolism, Antioxidants metabolism, Diabetes Mellitus, Type 2 metabolism, Sex Characteristics
- Published
- 2018
- Full Text
- View/download PDF
48. Ketoacidosis in diabetic pregnancy.
- Author
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Dalfrà MG, Burlina S, Sartore G, and Lapolla A
- Subjects
- Animals, Female, Fetus metabolism, Humans, Ketones metabolism, Pregnancy, Risk Factors, Diabetes, Gestational, Diabetic Ketoacidosis, Pregnancy in Diabetics
- Abstract
Diabetic ketoacidosis (DKA) is a serious medical and obstetrical emergency previously considered typical of type 1 diabetes but now reported also in type 2 and GDM patients. Although it is a fairly rare condition, DKA in pregnancy can compromise both fetus and mother. Metabolic changes occurring during pregnancy predispose to DKA in fact it can develop even in setting of normoglycemia. This article will provide the reader with information regarding the pathophysiology underlying DKA, in particular euglycemic DKA, and will provide information regarding all possible effects of ketones on the fetus.
- Published
- 2016
- Full Text
- View/download PDF
49. Diabetic pregnancy outcomes in mothers treated with basal insulin lispro protamine suspension or NPH insulin: a multicenter retrospective Italian study.
- Author
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Dalfrà MG, Soldato A, Moghetti P, Lombardi S, Vinci C, De Cata AP, Romanelli T, Bonomo M, Sciacca L, Tata F, Ragazzi E, Filippi A, Burlina S, and Lapolla A
- Subjects
- Adult, Diabetes Mellitus, Type 1 epidemiology, Diabetes, Gestational epidemiology, Female, Humans, Infant, Newborn, Italy epidemiology, Pregnancy, Pregnancy in Diabetics epidemiology, Retrospective Studies, Diabetes Mellitus, Type 1 drug therapy, Diabetes, Gestational drug therapy, Insulin Lispro therapeutic use, Insulin, Isophane therapeutic use, Pregnancy Outcome epidemiology, Pregnancy in Diabetics drug therapy
- Abstract
Objective: The aim of this study was to study the efficacy and safety of long-acting insulin analog insulin lispro protamine suspension (ILPS) in diabetic pregnant women., Methods: In a multicenter observational retrospective study, we evaluated pregnancy outcome in 119 women affected by type 1 diabetes and 814 with gestational diabetes (GDM) treated during pregnancy with ILPS, compared with a control group treated with neutral protamine hagedorn (NPH) insulin., Results: Among type 1 diabetic patients, fasting blood glucose at the end of pregnancy was significantly lower in ILPS-treated than in NPH-treated patients. HbA1c levels across pregnancy did not differ between groups. Caesarean section and preterm delivery rates were significantly lower in the ILPS-women. Fetal outcomes were similar in the ILPS and NPH groups. Among GDM women, fasting blood glucose at the end of pregnancy was significantly lower in ILPS-treated than in NPH-treated patients. Duration of gestation was significantly longer, caesarian section and preterm delivery rates were lower in the ILPS-treated group. In addition, there were significantly fewer babies with an excessive ponderal index or neonatal hypoglycemic episodes in the ILPS group than in the NPH group., Conclusions: Association of ILPS with rapid-acting analogs in pregnancy is safe in terms of maternal and fetal outcomes.
- Published
- 2016
- Full Text
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50. A preliminary study on human placental tissue impaired by gestational diabetes: a comparison of gel-based versus gel-free proteomics approaches.
- Author
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Roverso M, Brioschi M, Banfi C, Visentin S, Burlina S, Seraglia R, Traldi P, and Lapolla A
- Subjects
- Female, Humans, Pregnancy, Proteome, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Tandem Mass Spectrometry, Diabetes, Gestational, Electrophoresis, Gel, Two-Dimensional, Placenta, Proteomics
- Abstract
Gestational diabetes (GDM) is the most common complication of pregnancy and it is associated with maternal and fetal short- and long-term consequences. GDM modifies placental structure and function, but many of the underlying mechanisms are still unclear. The aim of this study is to develop and compare two different methods, based respectively on gel-based and gel-free proteomics, in order to investigate the placental proteome in the absence or in the presence of GDM and to identify, through a comparative approach, possible changes in protein expression due to the GDM condition. Placenta homogenates obtained by pooling six control samples and six samples from GDM pregnant women were analyzed by two-dimensional (2D) electrophoresis coupled with mass spectrometry [nano-liquid chromatography (nano-LC) tandem mass spectrometry (MS/MS) and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS)] and by a label-free mass spectrometry method based on LC-MS(E). The gel-based approach highlights 13 over-expressed proteins and 16 under-expressed proteins, while the label-free method shows the over- expression of 10 proteins and the under-expression of nine proteins. As regards 2D gel electrophoresis, a comparison between two different protein identification methods, based respectively on nLC-electrospray ionization-MS/MS and MALDI-MS/MS, was performed taking into consideration the sequence coverage, the MASCOT score and the exponentially modified protein abundance index. The analysis of the complex proteome through an integrated strategy revealed that the quantitative gel-free and label-free MS approach might be suitable to identify candidate markers of GDM.
- Published
- 2016
- Full Text
- View/download PDF
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