32 results on '"Barbagallo, C."'
Search Results
2. DETECTION OF NEW GENES RESPONSIBLE OF FAMILIAL RECESSIVE HYPERCHOLESTEROLEMIA: PRELIMINARY DATA FROM AN EXOME SEQUENCING APPROACH
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SPINA, Rossella, VALENTI, Vincenza, NOTO, Davide, Ingrassia, Valeria, SCRIMALI, Chiara, MISIANO, Gabriella, FAYER, Francesca, PALESANO, Ornella, LICATA, Vincenzo, AVERNA, Maurizio, CEFALU', Angelo Baldassare, Spada, M., Altieri, G., Barbagallo, C., Spina, R., Cefalù, A., Valenti, V., Noto, D., Ingrassia, V., Scrimali, C., Spada, M., Misiano, G., Altieri, G., Fayer, F., Barbagallo, C., Palesano, O., Licata, V., and Averna, M.
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Settore MED/09 - Medicina Interna ,Hypercholesterolemia Exome sequencing - Published
- 2014
3. The global cardiovascular risk transition: associations of four metabolic risk factors with national income, urbanization, and Western diet in 1980 and 2008
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Danaei, G., Singh, G., Paciorek, C., Lin, J., Cowan, M., Finucane, M., Farzadfar, F., Stevens, G., Riley, L., Lu, Y., Rao, M., Ezzati, M., Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group, Aamodt, G., Abdeen, Z., Abdella, N., Rahim, H., Addo, J., Aekplakorn, W., Afifi, M., Agabiti Rosei, E., Aguilar Salinas CA, Agyemang, C., Ali, M., Al Nsour, M., Al Nuaim AR, Ambady, R., Aro, P., Azizi, F., Barbagallo, C., Barbieri, M., Barceló, A., Barreto, S., Barros, H., Bautista, L., Benetos, A., Bjerregaard, P., Björkelund, C., Bo, S., Bobak, M., Bonora, E., Bontha, B., Botana, M., Bovet, P., Breckenkamp, J., Breteler, M., Broda, G., Brown, I., Bursztyn, M., Cabrera de León, A., Campos, H., Cappuccio, F., Capuano, V., Casiglia, E., Castellano, M., Castetbon, K., Cea, L., Chang, C., Chaouki, N., Chatterji, S., Chen, Z., Chen, C., Choi, J., Chua, L., Cífková, R., Cobiac, L., Cooper, R., Corsi, A., Costanza, M., Craig, C., Dankner, R., Dastgiri, S., Delgado, E., Dinc, G., Doi, Y., Dong, G., Dorsi, E., Dragano, N., Drewnowski, A., Eggertsen, W., Elliott, P., Engeland, A., Erem, C., Esteghamati, A., Fall, C., Fan, J., Ferreccio, C., Fezeu, L., Firmo, J., Florez, H., Fornés, N., Fowkes, F., Franceschini, G., Frisk, F., Fuchs, F., Fuller, E., Getz, L., Giampaoli, S., Gómez, L., Gomez Zumaquero JM, Graff Iversen, S., Grant, J., Guerrero Carvajal, R., Gulliford, M., Gupta, R., Gupta, P., Gureje, O., Hansen, T., Hata, J., He, J., Heim, N., Heinrich, J., Hemmingsson, T., Hennis, A., Herman, W., Herrera, V., Ho, S., Holdsworth, M., Hollman Frisman, G., Hopman, W., Hussain, A., Husseini, A., Ibrahim, M., Ikeda, N., Jacobsen, B., Jaddou, H., Jafar, T., Janghorbani, M., Jasienska, G., Joffres, M., Jonas, J., Kadiki, O., Kalter Leibovici, O., Kamadjeu, R., Karalis, I., Kastarinen, M., Katz, J., Keinan Boker, L., Kelly, P., Khalilzadeh, O., Khang, Y., Kiechl, S., Kim, K., Kiyohara, Y., Kobayashi, J., Krause, M., Kubínová, R., Kurjata, P., Kusuma, Y., Lam, T., Langhammer, A., Lawes, C., Le, C., Lee, J., Lévy Marchal, C., Li, Y., Lim, S., Lim, T., Lin, X., Lin, C., Lin, H., Lind, L., Lissner, L., Liu, X., Lopez Jaramillo, P., Lorbeer, R., Ma, G., Ma, S., Macià, F., Maclean, D., Maggi, S., Magliano, D., Makdisse, M., Mancia, G., Mannami, T., Marques Vidal, P., Mbanya, J., McFarlane Anderson, N., Miccoli, R., Miettola, J., Minh, H., Miquel, J., Miranda, J., Mohamed, M., Mohan, V., Mohanna, S., Mokdad, A., Mollentze, W., Morales, D., Morgan, K., Muiesan, L., Muntoni, S., Nabipour, I., Nakagami, T., Nangia, V., Nemesure, B., Neovius, M., Nerhus, K., Nervi, F., Neuhauser, H., Nguyen, M., Ninomiya, T., Noale, M., Oh, S., Ohkubo, T., Olivieri, O., Önal, A., Onat, A., Oróstegui, M., Ouedraogo, H., Pan, W., Panagiotakos, D., Panza, F., Park, Y., Passos, V., Pednekar, M., Peres, M., Pérez, C., Pérez Fernández, R., Pichardo, R., Phua, H., Pistelli, F., Plans, P., Polakowska, M., Poulter, N., Prabhakaran, D., Qiao, Q., Rafiei, M., Raitakari, O., Ramos, L., Rampal, S., Rampal, L., Rasmussen, F., Reddy, K., Redon, J., Revilla, L., Reyes García, V., Roaeid, R., Rodriguez Artalejo, F., Rojas Martinez, R., Ronkainen, K., Rosero Bixby, L., Roth, G., Sachdev, H., Sánchez, J., Sanisoglu, S., Sans, S., Sarraf Zadegan, N., Scazufca, M., Schaan, B., Schapochnik, N., Schelleman, H., Schneider, I., Schooling, C., Schwarz, B., Sekuri, C., Sereday, M., Serra Majem, L., Shaw, J., Shera, A., Shi, Z., Shiri, R., Shu, X., Silva, D., Silva, E., Simons, L., Smith, M., Söderberg, S., Soebardi, S., Solfrizzi, V., Sonestedt, E., Soysal, A., Stattin, P., Stein, A., Stergiou, G., Stessman, J., Sudo, A., Suka, M., Sundh, V., Sundquist, K., Sundström, J., Swai, A., Tai, E., Tambs, K., Tesfaye, F., Thomas, G., Thorogood, M., Tilvis, R., Tobias, M., Torheim, L., Trenkwalder, P., Tuomilehto, J., Tur, J., Tzourio, C., Uhernik, A., Ukoli, F., Unwin, N., Vander Hoorn, S., Vanderpump, M., Varo, J., Veierød, B., Velásquez Meléndez, G., Verschuren, M., Viet, L., Villalpando, S., Vioque, J., Vollenweider, P., Volpato, S., Wang, N., Wang, Y., Ward, M., Waspadji, S., Welin, L., Wilhelmsen, L., Willeit, J., Woodward, M., Xavier, A., Xu, F., Xu, L., Yamamoto, A., Yang, G., Yang, X., Yeh, L., Yoon, J., You, Q., Yu, Z., Zhang, J., Zhang, L., Zheng, W., Zhou, M., Danaei G, Singh GM, Paciorek CJ, Lin JK, Cowan MJ, Finucane MM, Farzadfar F, Stevens GA, Riley LM, Lu Y, Rao M, Ezzati M and Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group, Aamodt G, Abdeen Z, Abdella NA, Rahim HF, Addo J, Aekplakorn W, Afifi MM, Agabiti-Rosei E, Aguilar Salinas CA, Agyemang C, Ali MM, Al-Nsour M, Al-Nuaim AR, Ambady R, Aro P, Azizi F, Barbagallo CM, Barbieri MA, Barceló A, Barreto SM, Barros H, Bautista LE, Benetos A, Bjerregaard P, Björkelund C, Bo S, Bobak M, Bonora E, Bontha BV, Botana MA, Bovet P, Breckenkamp J, Breteler MM, Broda G, Brown IJ, Bursztyn M, Cabrera de León A, Campos H, Cappuccio FP, Capuano V, Casiglia E, Castellano M, Castetbon K, Cea L, Chang CJ, Chaouki N, Chatterji S, Chen Z, Chen CJ, Choi JS, Chua L, Cífková R, Cobiac LJ, Cooper RS, Corsi AM, Costanza MC, Craig CL, Dankner RS, Dastgiri S, Delgado E, Dinc G, Doi Y, Dong GH, Dorsi E, Dragano N, Drewnowski A, Eggertsen W, Elliott P, Engeland A, Erem C, Esteghamati A, Fall CH, Fan JG, Ferreccio C, Fezeu L, Firmo JO, Florez HJ, Fornés NS, Fowkes FG, Franceschini G, Frisk F, Fuchs FD, Fuller EL, Getz L, Giampaoli S, Gómez LF, Gomez-Zumaquero JM, Graff-Iversen S, Grant JF, Guerrero Carvajal R, Gulliford MC, Gupta R, Gupta PC, Gureje O, Hansen TW, Hata J, He J, Heim N, Heinrich J, Hemmingsson T, Hennis A, Herman WH, Herrera VM, Ho S, Holdsworth M, Hollman Frisman G, Hopman WM, Hussain A, Husseini A, Ibrahim M, Ikeda N, Jacobsen BK, Jaddou HY, Jafar TH, Janghorbani M, Jasienska G, Joffres MR, Jonas JB, Kadiki OA, Kalter-Leibovici O, Kamadjeu RM, Karalis I, Kastarinen MJ, Katz J, Keinan-Boker L, Kelly P, Khalilzadeh O, Khang YH, Kiechl S, Kim KW, Kiyohara Y, Kobayashi J, Krause MP, Kubínová R, Kurjata P, Kusuma YS, Lam TH, Langhammer A, Lawes CM, Le C, Lee J, Lévy-Marchal C, Li Y, Lim S, Lim TO, Lin X, Lin CC, Lin HH, Lind L, Lissner L, Liu X, Lopez-Jaramillo P, Lorbeer R, Ma G, Ma S, Macià F, MacLean DR, Maggi S, Magliano DJ, Makdisse M, Mancia G, Mannami T, Marques-Vidal P, Mbanya JC, McFarlane-Anderson N, Miccoli R, Miettola J, Minh HV, Miquel JF, Miranda J, Mohamed MK, Mohan V, Mohanna S, Mokdad A, Mollentze WF, Morales DD, Morgan K, Muiesan LM, Muntoni S, Nabipour I, Nakagami T, Nangia V, Nemesure B, Neovius M, Nerhus KA, Nervi F, Neuhauser H, Nguyen M, Ninomiya T, Noale M, Oh SW, Ohkubo T, Olivieri O, Önal AE, Onat A, Oróstegui M, Ouedraogo H, Pan WH, Panagiotakos DB, Panza F, Park Y, Passos VM, Pednekar MS, Peres MA, Pérez C, Pérez-Fernández R, Pichardo R, Phua HP, Pistelli F, Plans P, Polakowska M, Poulter N, Prabhakaran D, Qiao Q, Rafiei M, Raitakari OT, Ramos LR, Rampal S, Rampal L, Rasmussen F, Reddy KK, Redon J, Revilla L, Reyes-García V, Roaeid RB, Rodriguez-Artalejo F, Rojas-Martinez R, Ronkainen K, Rosero-Bixby L, Roth GA, Sachdev HS, Sánchez JR, Sanisoglu SY, Sans S, Sarraf-Zadegan N, Scazufca M, Schaan BD, Schapochnik N, Schelleman H, Schneider IJ, Schooling C, Schwarz B, Sekuri C, Sereday MS, Serra-Majem L, Shaw J, Shera AS, Shi Z, Shiri R, Shu XO, Silva DA, Silva E, Simons LA, Smith M, Söderberg S, Soebardi S, Solfrizzi V, Sonestedt E, Soysal A, Stattin P, Stein AD, Stergiou GS, Stessman J, Sudo A, Suka M, Sundh V, Sundquist K, Sundström J, Swai AB, Tai E, Tambs K, Tesfaye F, Thomas GN, Thorogood M, Tilvis RS, Tobias M, Torheim LE, Trenkwalder P, Tuomilehto JO, Tur JA, Tzourio C, Uhernik AI, Ukoli FA, Unwin N, Vander Hoorn S, Vanderpump MP, Varo JJ, Veierød B, Velásquez-Meléndez G, Verschuren M, Viet L, Villalpando S, Vioque J, Vollenweider P, Volpato S, Wang N, Wang YX, Ward M, Waspadji S, Welin LX, Wilhelmsen L, Willeit J, Woodward M, Xavier AJ, Xu F, Xu L, Yamamoto A, Yang G, Yang X, Yeh LC, Yoon JS, You Q, Yu Z, Zhang J, Zhang L, Zheng W, Zhou M, ACS - Amsterdam Cardiovascular Sciences, APH - Amsterdam Public Health, and Public and occupational health
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Gerontology ,Adult ,Male ,Risk ,medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,Measures of national income and output ,Population ,Hypercholesterolemia ,OBESIDADE ,Blood Pressure ,Global Health ,Body Mass Index ,Age Distribution ,Risk Factors ,cardiovascular disease ,Physiology (medical) ,Diabetes mellitus ,risk factors ,Epidemiology ,medicine ,Diabetes Mellitus ,Humans ,Obesity ,Risk factor ,Sex Distribution ,education ,Developing Countries ,Cholesterolo ,education.field_of_study ,business.industry ,Urbanization ,Feeding Behavior ,Middle Aged ,medicine.disease ,Blood pressure ,Cholesterol ,Socioeconomic Factors ,Cardiovascular Diseases ,Hypertension ,Western World ,Female ,Cardiology and Cardiovascular Medicine ,business ,Body mass index ,Demography - Abstract
Background— It is commonly assumed that cardiovascular disease risk factors are associated with affluence and Westernization. We investigated the associations of body mass index (BMI), fasting plasma glucose, systolic blood pressure, and serum total cholesterol with national income, Western diet, and, for BMI, urbanization in 1980 and 2008. Methods and Results— Country-level risk factor estimates for 199 countries between 1980 and 2008 were from a previous systematic analysis of population-based data. We analyzed the associations between risk factors and per capita national income, a measure of Western diet, and, for BMI, the percentage of the population living in urban areas. In 1980, there was a positive association between national income and population mean BMI, systolic blood pressure, and total cholesterol. By 2008, the slope of the association between national income and systolic blood pressure became negative for women and zero for men. Total cholesterol was associated with national income and Western diet in both 1980 and 2008. In 1980, BMI rose with national income and then flattened at ≈Int$7000; by 2008, the relationship resembled an inverted U for women, peaking at middle-income levels. BMI had a positive relationship with the percentage of urban population in both 1980 and 2008. Fasting plasma glucose had weaker associations with these country macro characteristics, but it was positively associated with BMI. Conclusions— The changing associations of metabolic risk factors with macroeconomic variables indicate that there will be a global pandemic of hyperglycemia and diabetes mellitus, together with high blood pressure in low-income countries, unless effective lifestyle and pharmacological interventions are implemented.
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- 2013
4. Influence of Calendar Period on the Association Between BMI and Coronary Heart Disease: A Meta-Analysis of 31 Cohorts
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de Hollander el, E., Bogers, R., Boshuizen, H., Rosengren, A., Shipley, M., Knekt, P., Ducimetiere, P., Menotti, A., de Groot, L., Bemelmans, W., Welborn, T., Knuiman, M., Yarnell, J., Ben Shlomo, Y., Simons, L., Kaprio, J., Macmahon, S., Norton, R., Woodward, M., Jackson, R., Folsom, A., Hong, C., Lakka, H., Calling, S., Hedblad, B., Tomas Abadal, L., Giles, G., Thorpe, R., Bakx, J., Strand, B., Hu, F., van Dam RM, Jamrozik, K., Hobbs, M., Tunstall Pedoe, H., van Staveren WA, Johansson S., E., Barbagallo, C., Norman, P., Kromhout, D., Ellen L. de Hollander el, Bogers RP, Boshuizen HC, Rosengren A, Shipley MJ, Knekt P, Ducimetiere P, Menotti A, de Groot L, Bemelmans WJE, Welborn T, Knuiman M, Yarnell JWG, Ben-Shlomo Y, Simons LA, Kaprio J, MacMahon S, Norton R, Woodward M, Jackson R, Folsom AR, Hong CP, Lakka HM, Calling S, Hedblad B, Tomas-Abadal L, Giles GC, Thorpe RJJr, Bakx JC, Strand BH, Hu FB, van Dam RM, Jamrozik K, Hobbs MS, Tunstall-Pedoe H, van Staveren WA, Johansson S-E, Barbagallo, CM, Norman PE, and Kromhout D
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Obesity, coronary heart disease, meta-analysis ,Settore MED/09 - Medicina Interna - Abstract
Objective: The association between obesity and coronary heart disease (CHD) may have changed over time, for example due to improved pharmacological treatment of CHD risk factors. This meta-analysis of 31 prospective cohort studies explores the influence of calendar period on CHD risk associated with body mass index (BMI). Design and Methods: The relative risks (RRs) of CHD for a five-BMI-unit increment and BMI categories were pooled by means of random effects models. Meta-regression analysis was used to examine the influence of calendar period (>1985 v 1985) in univariate and multivariate analyses (including mean population age as a covariate). Results: The age, sex, and smoking adjusted RR (95% confidence intervals) of CHD for a five-BMI-unit increment was 1.28(1.22:1.34). For underweight, overweight and obesity, the RRs (compared to normal weight) were 1.11(0.91:1.36), 1.31(1.22:1.41), and 1.78(1.55:2.04), respectively. The univariate analysis indicated 31% (95%CI: 56:0) lower RR of CHD associated with a five-BMI-unit increment and a 51% (95%CI: 78: 14)) lower RR associated with obesity in studies starting after 1985 (n ¼ 15 and 10, respectively) compared to studies starting in or before 1985 (n ¼ 16 and 10). However, in the multivariate analysis, only mean population age was independently associated with the RRs for a five-BMI-unit increment and obesity ( 29(95%CI: 55: 5)) and 31(95%CI: 66:3), respectively) per 10-year increment in mean age). Conclusion: This study provides no consistent evidence for a difference in the association between BMI and CHD by calendar period. The mean population age seems to be the most important factor that modifies the association between the risk of CHD and BMI, in which the RR decreases with increasing age.
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- 2013
5. Effectiveness of screening for known mutations in Sicilian patients with 'probable' familial hypercholesterolemia
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Cefalù, A. B., Emmanuele, G., Marino, G., Fiore, B., Caldarella, R., Vivona, N., Noto, D., Barbagallo, C. M., Costa, S., Gueli, M. C., Bertolini, S., Notarbartolo, A., Travali, S., Maurizio Averna, Cefalù, A., Emmanuele, G., Marino, G., Fiore, B., Caldarella, R., Vivona, N., Noto, D., Barbagallo, C., Costa, S., Gueli, M., Bertolini, S., Notarbartolo, A., Travali, S., and Averna, M.
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Point mutation ,Nutrition and Dietetics ,Settore MED/09 - Medicina Interna ,Endocrinology, Diabetes and Metabolism ,Medicine (miscellaneous) ,Exons ,Polymerase Chain Reaction ,FH ,Cohort Studies ,Hyperlipoproteinemia Type II ,Gene Frequency ,Receptors, LDL ,Mutation ,Screening ,Humans ,Genetic Testing ,Cardiology and Cardiovascular Medicine ,Sicily ,Food Science - Abstract
Background and Aim: More than 750 mutations in the low-density lipoprotein (LDL) receptor gene are currently known to cause familial hypercholesterolemia (FH), but the array of mutations varies considerably in different populations. The definition of essentially all the LDL receptor gene mutations in a population is therefore a prerequisite for the implementation of nation-wide genetic testing for FH. Methods and Results: In this study, a screening strategy based on PCR-enzymatic digestion and PCR-allele specific hybridisation procedures was used to evaluate the frequency distributions of 11 known mutations in a cohort of 214 unrelated subjects meeting the diagnostic criteria of "probable" FH. We identified 20 mutation carriers (9.3%). One mutation (FH Palermo-1) occurred with a relatively high frequency, accounting for 7% of the entire study cohort. We also report the first observation of the receptor-negative mutation V408M (Afrikaner-2) in Italy. Conclusions: Our screening approach is not effective and, at least in our area, it is not a suitable alternative to the more expensive and time-consuming sequencing approach. However, our data suggest that it is possible to identify the molecular defect in about 10% of Sicilian patients with a clinical diagnosis of "probable FH" using a rapid laboratory diagnostic mutation panel. Four mutations were responsible for all of the diagnosed cases, and it could be reasonable to use this 4-mutation panel as a preliminary step before adopting a more complex laboratory approach. ©2001, Medikal Press.
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- 2001
6. Identification of the Uric Acid Thresholds Predicting an Increased Total and Cardiovascular Mortality Over 20 Years
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Marcello Rattazzi, Francesca Viazzi, Maria Lorenza Muiesan, Pietro Cirillo, Pietro Nazzaro, Paolo Verdecchia, Andrea Ungar, Georgios Georgiopoulos, Giulia Rivasi, Berardino Bruno, Alberto Mazza, Claudio Borghi, Agostino Virdis, Massimo Volpe, Loreto Gesualdo, Alessandro Maloberti, Giovambattista Desideri, Giuliano Tocci, Valérie Tikhonoff, Michele Bombelli, Cristina Giannattasio, Roberto Pontremoli, Paolo Palatini, Carlo M. Barbagallo, Raffaella Dell'Oro, Lanfranco D'Elia, Massimo Cirillo, Ferruccio Galletti, Gianfranco Parati, Luciano Lippa, Stefano Masi, Guido Grassi, Francesca Mallamaci, Massimo Salvetti, Claudio Ferri, Edoardo Casiglia, Guido Iaccarino, Arrigo F G Cicero, Virdis, A, Masi, S, Casiglia, E, Tikhonoff, V, Cicero, A, Ungar, A, Rivasi, G, Salvetti, M, Barbagallo, C, Bombelli, M, Dell'Oro, R, Bruno, B, Lippa, L, D'Elia, L, Verdecchia, P, Mallamaci, F, Cirillo, M, Rattazzi, M, Cirillo, P, Gesualdo, L, Mazza, A, Giannattasio, C, Maloberti, A, Volpe, M, Tocci, G, Georgiopoulos, G, Iaccarino, G, Nazzaro, P, Parati, G, Palatini, P, Galletti, F, Ferri, C, Desideri, G, Viazzi, F, Pontremoli, R, Muiesan, M, Grassi, G, Borghi, C, Virdis, A., Masi, S., Casiglia, E., Tikhonoff, V., Cicero, A. F. G., Ungar, A., Rivasi, G., Salvetti, M., Barbagallo, C. M., Bombelli, M., Dell'Oro, R., Bruno, B., Lippa, L., D'Elia, L., Verdecchia, P., Mallamaci, F., Cirillo, M., Rattazzi, M., Cirillo, P., Gesualdo, L., Mazza, A., Giannattasio, C., Maloberti, A., Volpe, M., Tocci, G., Georgiopoulos, G., Iaccarino, G., Nazzaro, P., Parati, G., Palatini, P., Galletti, F., Ferri, C., Desideri, G., Viazzi, F., Pontremoli, R., Muiesan, M. L., Grassi, G., Borghi, C., Virdis A, Masi S, Casiglia E, Tikhonoff V, Cicero AFG, Ungar A, Rivasi G, Salvetti M, Barbagallo CM, Bombelli M, Dell'Oro R, Bruno B, Lippa L, D'Elia L, Verdecchia P, Mallamaci F, Cirillo M, Rattazzi M, Cirillo P, Gesualdo L, Mazza A, Giannattasio C, Maloberti A, Volpe M, Tocci G, Georgiopoulos G, Iaccarino G, Nazzaro P, Parati G, Palatini P, Galletti F, Ferri C, Desideri G, Viazzi F, Pontremoli R, Muiesan ML, Grassi G, Borghi C, Virdis A., Masi S., Casiglia E., Tikhonoff V., Cicero A.F.G., Ungar A., Rivasi G., Salvetti M., Barbagallo C.M., Bombelli M., Dell'Oro R., Bruno B., Lippa L., D'Elia L., Verdecchia P., Mallamaci F., Cirillo M., Rattazzi M., Cirillo P., Gesualdo L., Mazza A., Giannattasio C., Maloberti A., Volpe M., Tocci G., Georgiopoulos G., Iaccarino G., Nazzaro P., Parati G., Palatini P., Galletti F., Ferri C., Desideri G., Viazzi F., Pontremoli R., Muiesan M.L., Grassi G., and Borghi C.
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Male ,medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,epidemiology ,heart failure ,humans ,risk ,uric acid ,Cause of Death ,Female ,Humans ,Italy ,Middle Aged ,Mortality ,Practice Patterns, Physicians' ,Quality Improvement ,Risk Assessment ,Risk Factors ,Uric Acid ,Cardiovascular Diseases ,Hypertension ,Hyperuricemia ,Practice Patterns ,030204 cardiovascular system & hematology ,Sudden cardiac death ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Epidemiology ,Internal Medicine ,Medicine ,030212 general & internal medicine ,Myocardial infarction ,human ,Stroke ,Epidemiology, heart failure, humans, risk, uric acid ,Physicians' ,business.industry ,Proportional hazards model ,Hazard ratio ,Uric acid, cardiovascular mortality, epidemiology ,medicine.disease ,Heart failure ,business - Abstract
Serum uric acid (SUA) levels discriminating across the different strata of cardiovascular risk is still unknown. By utilizing a large population-based database, we assessed the threshold of SUA that increases the risk of total mortality and cardiovascular mortality (CVM). The URRAH study (Uric Acid Right for Heart Health) is a multicentre retrospective, observational study, which collected data from several large population-based longitudinal studies in Italy and subjects recruited in the hypertension clinics of the Italian Society of Hypertension. Total mortality was defined as mortality for any cause, CVM as death due to fatal myocardial infarction, stroke, sudden cardiac death, or heart failure. A total of 22 714 subjects were included in the analysis. Multivariate Cox regression analyses identified an independent association between SUA and total mortality (hazard ratio, 1.53 [95% CI, 1.21–1.93]) or CVM (hazard ratio, 2.08 [95% CI, 1.146–2.97]; P P
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- 2020
7. Association of uric acid with kidney function and albuminuria: the Uric Acid Right for heArt Health (URRAH) Project
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Russo E, Viazzi F, Pontremoli R, Barbagallo CM, Bombelli M, Casiglia E, Cicero AFG, Cirillo M, Cirillo P, Desideri G, D'Elia L, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Leoncini G, Mallamaci F, Maloberti A, Masi S, Mengozzi A, Mazza A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Rattazzi M, Rivasi G, Salvetti M, Tikhonoff V, Tocci G, Ungar A, Verdecchia P, Virdis A, Volpe M, Grassi G, Borghi C, Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension, Russo, E, Viazzi, F, Pontremoli, R, Barbagallo, C, Bombelli, M, Casiglia, E, Cicero, A, Cirillo, M, Cirillo, P, Desideri, G, D'Elia, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Leoncini, G, Mallamaci, F, Maloberti, A, Masi, S, Mengozzi, A, Mazza, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Rattazzi, M, Rivasi, G, Salvetti, M, Tikhonoff, V, Tocci, G, Ungar, A, Verdecchia, P, Virdis, A, Volpe, M, Grassi, G, Borghi, C, Russo E, Viazzi F, Pontremoli R, Barbagallo CM, Bombelli M, Casiglia E, Cicero AFG, Cirillo M, Cirillo P, Desideri G, D'Elia L, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Leoncini G, Mallamaci F, Maloberti A, Masi S, Mengozzi A, Mazza A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Rattazzi M, Rivasi G, Salvetti M, Tikhonoff V, Tocci G, Ungar A, Verdecchia P, Virdis A, Volpe M, Grassi G, Borghi C, Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension, and Russo E, Viazzi F, Pontremoli R, Barbagallo CM, Bombelli M, Casiglia E, Cicero AFG, Cirillo M, Cirillo P, Desideri G, D'Elia L, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Leoncini G, Mallamaci F, Maloberti A, Masi S, Mengozzi A, Mazza A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Rattazzi M, Rivasi G, Salvetti M, Tikhonoff V, Tocci G, Ungar A, Verdecchia P, Virdis A, Volpe M, Grassi G, Borghi C
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Nephrology ,Adult ,Male ,medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,030232 urology & nephrology ,Allopurinol ,Renal function ,Hyperuricemia ,030204 cardiovascular system & hematology ,Kidney ,urologic and male genital diseases ,Gastroenterology ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Serum uric acid ,Risk Factors ,Internal medicine ,Diabetes mellitus ,medicine ,eGFR ,Humans ,Albuminuria ,Renal Insufficiency, Chronic ,Aged ,business.industry ,Cardiovascular risk ,nutritional and metabolic diseases ,Middle Aged ,medicine.disease ,Uric Acid ,chemistry ,Uric acid ,Original Article ,Female ,medicine.symptom ,business ,medicine.drug ,Kidney disease ,Glomerular Filtration Rate - Abstract
Background Hyperuricemia is commonly observed in patients with chronic kidney disease (CKD). However, a better understanding of the relationship among uric acid (UA) values, glomerular filtration rate (GFR) and albuminuria may shed light on the mechanisms underlying the excess of cardiovascular mortality associated with both chronic kidney disease and hyperuricemia and lead to better risk stratification. Our main goal was to study the relationships between serum uric acid and kidney disease measures (namely estimated GFR [eGFR] and albuminuria) in a large cohort of individuals at cardiovascular risk from the URic acid Right for heArt Health (URRAH) Project database. Methods Clinical data of 26,971 individuals were analyzed. Factors associated with the presence of hyperuricemia defined on the basis of previously determined URRAH cutoffs for cardiovascular and all-cause mortality were evaluated through multivariate analysis. Chronic kidney disease was defined as eGFR 2 and/or abnormal urinary albumin excretion diagnosed as: (i) microalbuminuria if urinary albumin concentration was > 30 and ≤ 300 mg/L, or if urinary albumin-to-creatinine ratio (ACR) was > 3.4 mg/mmol and ≤ 34 mg/mmol; (ii) macroalbuminuria if urinary albumin concentration was > 300 mg/L, or if ACR was > 34 mg/mmol. Results Mean age was 58 ± 15 years (51% males, 62% with hypertension and 12% with diabetes), mean eGFR was 81 ml/min per 1.73m22with a prevalence of eGFR Conclusions The lower the eGFR the higher the prevalence of hyperuricemia and gout. In subjects with eGFR 90 ml/min. The percentage of individuals treated with allopurinol was below 2% when GFR was above 60 ml/min, it increased to 20% in the presence of CKD 3b and rose further to 35% in individuals with macroalbuminuria. Graphic abstract
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- 2022
8. Serum uric acid levels threshold for mortality in diabetic individuals: The URic acid Right for heArt Health (URRAH) project
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Maria Masulli, Lanfranco D'Elia, Fabio Angeli, Carlo M. Barbagallo, Giancarlo Bilancio, Michele Bombelli, Berardino Bruno, Edoardo Casiglia, Rosario Cianci, Arrigo F.G. Cicero, Massimo Cirillo, Pietro Cirillo, Raffaella Dell’Oro, Giovambattista Desideri, Claudio Ferri, Loreto Gesualdo, Cristina Giannattasio, Guido Grassi, Guido Iaccarino, Luciano Lippa, Francesca Mallamaci, Alessandro Maloberti, Stefano Masi, Alberto Mazza, Alessandro Mengozzi, Maria Lorenza Muiesan, Pietro Nazzaro, Paolo Palatini, Gianfranco Parati, Roberto Pontremoli, Fosca Quarti-Trevano, Marcello Rattazzi, Gianpaolo Reboldi, Giulia Rivasi, Massimo Salvetti, Valerie Tikhonoff, Giuliano Tocci, Andrea Ungar, Paolo Verdecchia, Francesca Viazzi, Agostino Virdis, Massimo Volpe, Claudio Borghi, Ferruccio Galletti, Masulli, M, D'Elia, L, Angeli, F, Barbagallo, C, Bilancio, G, Bombelli, M, Bruno, B, Casiglia, E, Cianci, R, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, Desideri, G, Ferri, C, Gesualdo, L, Giannattasio, C, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Maloberti, A, Masi, S, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Salvetti, M, Tikhonoff, V, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Virdis, A, Volpe, M, Borghi, C, Galletti, F, Masulli, Maria, D'Elia, Lanfranco, Angeli, Fabio, Barbagallo, Carlo M, Bilancio, Giancarlo, Bombelli, Michele, Bruno, Berardino, Casiglia, Edoardo, Cianci, Rosario, Cicero, Arrigo F G, Cirillo, Massimo, Cirillo, Pietro, Dell'Oro, Raffaella, Desideri, Giovambattista, Ferri, Claudio, Gesualdo, Loreto, Giannattasio, Cristina, Grassi, Guido, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Maloberti, Alessandro, Masi, Stefano, Mazza, Alberto, Mengozzi, Alessandro, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Salvetti, Massimo, Tikhonoff, Valerie, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Virdis, Agostino, Volpe, Massimo, Borghi, Claudio, Galletti, Ferruccio, and Masulli M, D'Elia L, Angeli F, Barbagallo CM, Bilancio G, Bombelli M, Bruno B, Casiglia E, Cianci R, Cicero AFG, Cirillo M, Cirillo P, Dell'Oro R, Desideri G, Ferri C, Gesualdo L, Giannattasio C, Grassi G, Iaccarino G, Lippa L, Mallamaci F, Maloberti A, Masi S, Mazza A, Mengozzi A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Pontremoli R, Quarti-Trevano F, Rattazzi M, Reboldi G, Rivasi G, Salvetti M, Tikhonoff V, Tocci G, Ungar A, Verdecchia P, Viazzi F, Virdis A, Volpe M, Borghi C, Galletti F
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Diabetes mellitu ,Nutrition and Dietetics ,Settore MED/09 - Medicina Interna ,Cardiovascular mortality ,Serum uric acid Cardiovascular mortality All-cause mortality Diabetes mellitus Hyperuricemia Diagnostic thresholds ,Endocrinology, Diabetes and Metabolism ,Medicine (miscellaneous) ,Hyperuricemia ,All-cause mortality ,Uric Acid ,Diagnostic thresholds ,all-cause mortality ,cardiovascular mortality ,diabetes mellitus ,diagnostic thresholds ,hyperuricemia ,serum uric acid ,humans ,risk factors ,uric acid ,Diagnostic threshold ,Diabetes mellitus ,Serum uric acid ,Risk Factors ,Humans ,Cardiology and Cardiovascular Medicine - Abstract
Background and aim: The URRAH (URic acid Right for heArt Health) Study has identified cut-off values of serum uric acid (SUA) predictive of total mortality at 4.7 mg/dl, and cardiovascular (CV) mortality at 5.6 mg/dl. Our aim was to validate these SUA thresholds in people with diabetes. Methods and results: The URRAH subpopulation of people with diabetes was studied. All-cause and CV deaths were evaluated at the end of follow-up. A total of 2570 diabetic subjects were studied. During a median follow-up of 107 months, 744 deaths occurred. In the multivariate Cox regression analyses adjusted for several confounders, subjects with SUA ≥5.6 mg/dl had higher risk of total (HR: 1.23, 95%CI: 1.04-1.47) and CV mortality (HR:1.31, 95%CI:1.03-1.66), than those with SUA
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- 2022
9. Serum uric acid, predicts heart failure in a large Italian cohort: search for a cut-off value the URic acid Right for heArt Health study
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Claudio Ferri, Agostino Virdis, Marcello Rattazzi, Alessandro Maloberti, Arrigo F G Cicero, Massimo Cirillo, Andrea Ungar, Maria Lorenza Muiesan, Pietro Nazzaro, Francesca Viazzi, Giuliano Tocci, Guido Grassi, Ferruccio Galletti, Valérie Tikhonoff, Michele Bombelli, Paolo Verdecchia, Francesca Mallamaci, Giovambattista Desideri, Cristina Giannattasio, Gianfranco Parati, Paolo Palatini, Massimo Salvetti, Carlo M. Barbagallo, Alberto Mazza, Claudio Borghi, Massimo Volpe, Pietro Cirillo, Roberto Pontremoli, Guido Iaccarino, Edoardo Casiglia, Loreto Gesualdo, Giulia Rivasi, Lanfranco D'Eliak, Stefano Masi, Muiesan ML, Salvetti M, Virdis A, Masi S, Casiglia E, Tikhonoff V, Barbagallo CM, Bombelli M, Cicero AFG, Cirillo M, Cirillo P, Desideri G, D'Eliak L, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Mallamaci F, Maloberti A, Mazza A, Nazzaro P, Palatini P, Parati G, Pontremoli R, Rattazzi M, Rivasi G, Tocci G, Ungar A, Verdecchia P, Viazzi F, Volpe M, Grassi G, Borghi C, Muiesan, M, Salvetti, M, Virdis, A, Masi, S, Casiglia, E, Tikhonoff, V, Barbagallo, C, Bombelli, M, Cicero, A, Cirillo, M, Cirillo, P, Desideri, G, D’Eliak, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Mallamaci, F, Maloberti, A, Mazza, A, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Rattazzi, M, Rivasi, G, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Grassi, G, Borghi, C, Muiesan, Maria L, Salvetti, Massimo, Virdis, Agostino, Masi, Stefano, Casiglia, Edoardo, Tikhonoff, Valérie, Barbagallo, Carlo M, Bombelli, Michele, Cicero, Arrigo F G, Cirillo, Massimo, Cirillo, Pietro, Desideri, Giovambattista, D'Eliak, Lanfranco, Ferri, Claudio, Galletti, Ferruccio, Gesualdo, Loreto, Giannattasio, Cristina, Iaccarino, Guido, Mallamaci, Francesca, Maloberti, Alessandro, Mazza, Alberto, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Rattazzi, Marcello, Rivasi, Giulia, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Grassi, Guido, and Borghi, Claudio
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medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,Physiology ,Epidemiology ,Cut-off value ,030204 cardiovascular system & hematology ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Diabetes mellitus ,Internal Medicine ,Medicine ,Humans ,030212 general & internal medicine ,Mortality ,Risk factor ,Cut-off value, heart failure, mortality, uric acid ,Heart Failure ,business.industry ,Proportional hazards model ,Hazard ratio ,Confounding ,cut-off value ,heart failure ,mortality ,uric acid ,medicine.disease ,Uric Acid ,Italy ,Heart failure ,Cohort ,Hypertension ,Cardiology ,Cardiology and Cardiovascular Medicine ,business ,Cohort study - Abstract
Objective: To assess the prognostic cut-off values of serum uric acid (SUA) in predicting fatal and morbid heart failure in a large Italian cohort in the frame of the Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension. Methods: The URic acid Right for heArt Health (URRAH) study is a nationwide, multicentre, cohort study involving data on individuals aged 18-95 years, recruited on a community basis from all regions of Italy under the patronage of the Italian Society of Hypertension with a mean follow-up period of 128 ± 65 months. Incident heart failure was defined on the basis of International Classification of Diseases Tenth Revision codes and double-checked with general practitioners and hospital files. Multivariate Cox regression models having fatal and morbid heart failure as dependent variables, adjusted for sex, age, SBP, diabetes, estimated glomerular filtration rate, smoking habit, ethanol intake, BMI, haematocrit, LDL cholesterol, previous diagnosis of heart failure and use of diuretics as possible confounders, were used to search for an association between SUA as a continuous variable and heart failure. By means of receiver operating characteristic curves, two prognostic cut-off values (one for all heart failure and one for fatal heart failure) were identified as able to discriminate between individuals doomed to develop the event. These cut-off values were used as independent predictors to divide individuals according to prognostic cut-off values in a multivariate Cox models, adjusted for confounders. Results: A total of 21 386 individuals were included in the analysis. In Cox analyses, SUA as a continuous variable was a significant predictor of all [hazard ratio 1.29 (1.23-1.359), P < 0.0001] and fatal [hazard ratio 1.268 (1.121-1.35), P < 0.0001] incident heart failure. Cut-off values of SUA able to discriminate all and fatal heart failure status were identified by mean of receiver operating characteristic curves in the whole database: SUA more than 5.34 mg/dl (confidence interval 4.37-5.6, sensitivity 52.32, specificity 63.96, P < 0.0001) was the univariate prognostic cut-off value for all heart failure, whereas SUA more than 4.89 mg/dl (confidence interval 4.78-5.78, sensitivity 68.29, specificity 49.11, P < 0.0001) for fatal heart failure. The cut-off for all heart failure and the cut-off value for fatal heart failure were accepted as independent predictors in the Cox analysis models, the hazard ratios being 1.645 (1.284-2.109, P < 0.0001) for all heart failure and 1.645 (1.284-2.109, P < 0.0001) for fatal heart failure, respectively. Conclusion: The results of the current study confirm that SUA is an independent risk factor for all heart failure and fatal heart failure, after adjusting for potential confounding variables and demonstrate that a prognostic cut-off value can be identified for all heart failure (>5.34 mg/dl) and for fatal heart failure (>4.89 mg/dl).
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- 2021
10. Identification of a plausible serum uric acid cut-off value as prognostic marker of stroke: the Uric Acid Right for Heart Health (URRAH) study
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Guido Grassi, Francesca Viazzi, Andrea Ungar, Lanfranco D'Elia, Massimo Salvetti, Paolo Spinella, Massimo Volpe, Agostino Virdis, Gianfranco Parati, Roberto Pontremoli, Stefano Masi, Giulia Rivasi, Loreto Gesualdo, Giuliano Tocci, Claudio Ferri, Ferruccio Galletti, Francesca Mallamaci, Alessandro Maloberti, Maria Lorenza Muiesan, Pietro Nazzaro, Valérie Tikhonoff, Michele Bombelli, Massimo Cirillo, Cristina Giannattasio, Paolo Palatini, Carlo M. Barbagallo, Paolo Verdecchia, Marcello Rattazzi, Alberto Mazza, Claudio Borghi, Edoardo Casiglia, Guido Iaccarino, Fosca Quarti-Trevano, Pietro Cirillo, Giovambattista Desideri, Arrigo F G Cicero, Tikhonoff, Valérie, Casiglia, Edoardo, Spinella, Paolo, Barbagallo, Carlo M., Bombelli, Michele, Cicero, Arrigo F. G., Cirillo, Massimo, Cirillo, Pietro, Desideri, Giovambattista, D’Elia, Lanfranco, Ferri, Claudio, Galletti, Ferruccio, Gesualdo, Loreto, Giannattasio, Cristina, Iaccarino, Guido, Mallamaci, Francesca, Maloberti, Alessandro, Masi, Stefano, Mazza, Alberto, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Rivasi, Giulia, Salvetti, Massimo, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Virdis, Agostino, Volpe, Massimo, Grassi, Guido, Borghi, Claudio, Tikhonoff, V, Casiglia, E, Spinella, P, Barbagallo, C, Bombelli, M, Cicero, A, Cirillo, M, Cirillo, P, Desideri, G, D'Elia, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Mallamaci, F, Maloberti, A, Masi, S, Mazza, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Rivasi, G, Salvetti, M, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Virdis, A, Volpe, M, Grassi, G, Borghi, C, and Tikhonoff V, Casiglia E, Spinella P, Barbagallo CM, Bombelli M, Cicero AFG, Cirillo M, Cirillo P, Desideri G, D'elia L, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Mallamaci F, Maloberti A, Masi S, Mazza A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Pontremoli R, Quarti-Trevano F, Rattazzi M, Rivasi G, Salvetti M, Tocci G, Ungar A, Verdecchia P, Viazzi F, Virdis A, Volpe M, Grassi G, Borghi C
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medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,uric acid, cardiovascular risk ,serum uric acid ,stroke ,hypertension ,cardiovascular prevention ,cardiovascular disease ,chemistry.chemical_compound ,Risk Factors ,Internal medicine ,Diabetes mellitus ,Internal Medicine ,medicine ,Humans ,Stroke ,uric acid, hypertension ,business.industry ,Confounding ,Prognosis ,medicine.disease ,Confidence interval ,Uric Acid ,chemistry ,Hypertension ,Uric acid ,business ,Body mass index ,Cohort study ,Kidney disease - Abstract
The Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension conceived and designed an ad hoc study aimed at searching for prognostic cut-off values of serum uric acid (SUA) in predicting combined (fatal and non-fatal) cerebrovascular (CBV) events in the whole database. The URic acid Right for heArt Health study is a nationwide, multicenter, observational cohort study involving data on subjects aged 18-95 years recruited on a regional community basis from all the territory of Italy under the patronage of the Italian Society of Hypertension with a mean follow-up period of 120.7 ± 61.8 months. A total of 14,588 subjects were included in the analysis. A prognostic cut-off value of SUA able to discriminate combined CBV events (>4.79 mg/dL or >284.91 µmol/L) was identified by means of receiver operating characteristic curve in the whole database. Multivariate Cox regression analysis adjusted for confounders (age, sex, arterial hypertension, diabetes, chronic kidney disease, smoking habit, ethanol intake, body mass index, low-density lipoprotein cholesterol, and use of diuretics) identified an independent association between SUA and combined CBV events in the whole database (HR 1.249, 95% confidence interval, 1.041-1.497, p = 0.016). The results of the present study confirm that SUA is an independent risk marker for CBV events after adjusting for potential confounding variables, including arterial hypertension, and demonstrate that >4.79 mg/dL is a valid prognostic cut-off value.
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- 2021
11. The association of uric acid with mortality modifies at old age: data from the uric acid right for heart health (URRAH) study
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Andrea Ungar, Giulia Rivasi, Mauro Di Bari, Agostino Virdis, Edoardo Casiglia, Stefano Masi, Alessandro Mengozzi, Carlo M. Barbagallo, Michele Bombelli, Bernardino Bruno, Arrigo F.G. Cicero, Massimo Cirillo, Pietro Cirillo, Giovambattista Desideri, Lanfranco D’elia, Claudio Ferri, Ferruccio Galletti, Loreto Gesualdo, Cristina Giannattasio, Guido Iaccarino, Michele Ciccarelli, Luciano Lippa, Francesca Mallamaci, Alessandro Maloberti, Alberto Mazza, Maria Lorenza Muiesan, Pietro Nazzaro, Paolo Palatini, Gianfranco Parati, Roberto Pontremoli, Fosca Quarti-Trevano, Marcello Rattazzi, Massimo Salvetti, Valérie Tikhonoff, Giuliano Tocci, Rosario Cianci, Paolo Verdecchia, Francesca Viazzi, Massimo Volpe, Guido Grassi, Claudio Borghi, Ungar, Andrea, Rivasi, Giulia, Di Bari, Mauro, Virdis, Agostino, Casiglia, Edoardo, Masi, Stefano, Mengozzi, Alessandro, Barbagallo, Carlo M, Bombelli, Michele, Bruno, Bernardino, Cicero, Arrigo F G, Cirillo, Massimo, Cirillo, Pietro, Desideri, Giovambattista, D'Elia, Lanfranco, Ferri, Claudio, Galletti, Ferruccio, Gesualdo, Loreto, Giannattasio, Cristina, Iaccarino, Guido, Ciccarelli, Michele, Lippa, Luciano, Mallamaci, Francesca, Maloberti, Alessandro, Mazza, Alberto, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Salvetti, Massimo, Tikhonoff, Valérie, Tocci, Giuliano, Cianci, Rosario, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Grassi, Guido, Borghi, Claudio, Ungar, A, Rivasi, G, Di Bari, M, Virdis, A, Casiglia, E, Masi, S, Mengozzi, A, Barbagallo, C, Bombelli, M, Bruno, B, Cicero, A, Cirillo, M, Cirillo, P, Desideri, G, D'Elia, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Ciccarelli, M, Lippa, L, Mallamaci, F, Maloberti, A, Mazza, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Salvetti, M, Tikhonoff, V, Tocci, G, Cianci, R, Verdecchia, P, Viazzi, F, Volpe, M, Grassi, G, Borghi, C, and Ungar A, Rivasi G, Di Bari M, Virdis A, Casiglia E, Masi S, Mengozzi A, Barbagallo CM, Bombelli M, Bruno B, Cicero AFG, Cirillo M, Cirillo P, Desideri G, D'elia L, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Ciccarelli M, Lippa L, Mallamaci F, Maloberti A, Mazza A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Pontremoli R, Quarti-Trevano F, Rattazzi M, Salvetti M, Tikhonoff V, Tocci G, Cianci R, Verdecchia P, Viazzi F, Volpe M, Grassi G, Borghi C
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Settore MED/09 - Medicina Interna ,hypertension ,Physiology ,Aged ,Humans ,Prognosis ,Proportional Hazards Models ,Risk Factors ,Uric Acid ,uric acid ,elderly ,cardiovascular prevention ,stroke ,myocardial infarction ,Acid Urc, mortality, old age ,Cardiovascular risk ,older adult ,Cardiovascular prevention ,Older adults ,Mortality ,Uric acid ,Internal Medicine ,Cardiology and Cardiovascular Medicine - Abstract
Objectives: In older individuals, the role of serum uric acid (SUA) as risk factor for mortality is debated. This study investigated the association of SUA with all-cause and cardiovascular (CV) mortality in older adults participating in the large multicentre observational uric acid right for heart health (URRAH) study. Methods: Eight thousand URRAH participants aged 65+ were included in the analysis. The predictive role of SUA was assessed using Cox regression models stratified according to the cut-off age of 75. SUA was tested as continuous and categorical variable (age-specific quartiles). The prognostic threshold of SUA for mortality was analysed using receiver operating characteristic curves. Results: Among participants aged 65-74, multivariate Cox regression analysis adjusted for CV risk factors and comorbidities identified an independent association of SUA with both all-cause mortality (hazard ratio [HR] 1.169, 95% confidence interval [CI] 1.107-1.235) and CV mortality (HR 1.146, 95% CI 1.064-1.235). The cut-off value of 4.8 mg/dl discriminated mortality status. In participants aged 75+, we observed a J-shaped relationship of SUA with all-cause and CV mortality, with risk increasing at extreme SUA levels. Conclusions: These results confirmed the predictive role of SUA for all-cause and CV mortality in older adults, while revealing considerable age-related differences. Mortality risk increased at higher SUA levels in participants aged 65-74, with a prognostic threshold of 4.8 mg/dl. The relationship between SUA and mortality was J-shaped in oldest participants. Large interventional studies are needed to clarify the benefits and possible risks of urate-lowering treatments in older adults.
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- 2021
12. The importance of including uric acid in the definition of metabolic syndrome when assessing the mortality risk
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Pugliese NR, Mengozzi A, Virdis A, Casiglia E, Tikhonoff V, Cicero AFG, Ungar A, Rivasi G, Salvetti M, Barbagallo CM, Bombelli M, Dell'Oro R, Bruno B, Lippa L, D'Elia L, Verdecchia P, Mallamaci F, Cirillo M, Rattazzi M, Cirillo P, Gesualdo L, Mazza A, Giannattasio C, Maloberti A, Volpe M, Tocci G, Georgiopoulos G, Iaccarino G, Nazzaro P, Parati G, Palatini P, Galletti F, Ferri C, Desideri G, Viazzi F, Pontremoli R, Muiesan ML, Grassi G, Masi S, Borghi C, Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension, Pugliese NR, Mengozzi A, Virdis A, Casiglia E, Tikhonoff V, Cicero AFG, Ungar A, Rivasi G, Salvetti M, Barbagallo CM, Bombelli M, Dell'Oro R, Bruno B, Lippa L, D'Elia L, Verdecchia P, Mallamaci F, Cirillo M, Rattazzi M, Cirillo P, Gesualdo L, Mazza A, Giannattasio C, Maloberti A, Volpe M, Tocci G, Georgiopoulos G, Iaccarino G, Nazzaro P, Parati G, Palatini P, Galletti F, Ferri C, Desideri G, Viazzi F, Pontremoli R, Muiesan ML, Grassi G, Masi S, Borghi C, Pugliese, Nicola Riccardo, Mengozzi, Alessandro, Virdis, Agostino, Casiglia, Edoardo, Tikhonoff, Valerie, Cicero, Arrigo F G, Ungar, Andrea, Rivasi, Giulia, Salvetti, Massimo, Barbagallo, Carlo M, Bombelli, Michele, Dell'Oro, Raffaella, Bruno, Berardino, Lippa, Luciano, D'Elia, Lanfranco, Verdecchia, Paolo, Mallamaci, Francesca, Cirillo, Massimo, Rattazzi, Marcello, Cirillo, Pietro, Gesualdo, Loreto, Mazza, Alberto, Giannattasio, Cristina, Maloberti, Alessandro, Volpe, Massimo, Tocci, Giuliano, Georgiopoulos, Georgio, Iaccarino, Guido, Nazzaro, Pietro, Parati, Gianfranco, Palatini, Paolo, Galletti, Ferruccio, Ferri, Claudio, Desideri, Giovambattista, Viazzi, Francesca, Pontremoli, Roberto, Muiesan, Maria Lorenza, Grassi, Guido, Masi, Stefano, Borghi, Claudio, Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension, Cicero AFG, Pugliese, N, Mengozzi, A, Virdis, A, Casiglia, E, Tikhonoff, V, Cicero, A, Ungar, A, Rivasi, G, Salvetti, M, Barbagallo, C, Bombelli, M, Dell'Oro, R, Bruno, B, Lippa, L, D'Elia, L, Verdecchia, P, Mallamaci, F, Cirillo, M, Rattazzi, M, Cirillo, P, Gesualdo, L, Mazza, A, Giannattasio, C, Maloberti, A, Volpe, M, Tocci, G, Georgiopoulos, G, Iaccarino, G, Nazzaro, P, Parati, G, Palatini, P, Galletti, F, Ferri, C, Desideri, G, Viazzi, F, Pontremoli, R, Muiesan, M, Grassi, G, Masi, S, and Borghi, C
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Male ,medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,Cardiovascular mortality ,Prognosi ,Sudden cardiac death ,chemistry.chemical_compound ,Serum uric acid ,Risk Factors ,Internal medicine ,Cause of Death ,medicine ,Humans ,Myocardial infarction ,Metabolic syndrome ,Prognosis ,Stroke ,Retrospective Studies ,Original Paper ,business.industry ,Proportional hazards model ,Hazard ratio ,General Medicine ,Middle Aged ,medicine.disease ,Uric Acid ,Survival Rate ,chemistry ,Italy ,Cardiovascular Diseases ,Heart failure ,Cardiology ,Uric acid ,Female ,Cardiology and Cardiovascular Medicine ,business ,Biomarkers ,Follow-Up Studies - Abstract
Introduction Serum uric acid (SUA) has been depicted as a contributory causal factor in metabolic syndrome (MS), which in turn, portends unfavourable prognosis. Aim We assessed the prognostic role of SUA in patients with and without MS. Methods We used data from the multicentre Uric Acid Right for Heart Health study and considered cardiovascular mortality (CVM) as death due to fatal myocardial infarction, stroke, sudden cardiac death, or heart failure. Results A total of 9589 subjects (median age 58.5 years, 45% males) were included in the analysis, and 5100 (53%) patients had a final diagnosis of MS. After a median follow-up of 142 months, we observed 558 events. Using a previously validated cardiovascular SUA cut-off to predict CVM (> 5.1 mg/dL in women and 5.6 mg/dL in men), elevated SUA levels were significantly associated to a worse outcome in patients with and without MS (all p p = 0.004). Cox regression analyses identified an independent association between SUA and CVM (Hazard Ratio: 1.79 [95% CI, 1.15–2.79]; p p Conclusion Increasing SUA levels are associated with a higher CVM risk irrespective of the presence of MS: a cardiovascular SUA threshold may improve risk stratification. Graphic abstract
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- 2021
13. Relationships between diuretic related hyperuricemia and cardiovascular events: data from the URRAH (URic acid Right for heArt Health) study
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Maloberti, A, Bombelli, M, Facchetti, R, Desideri, G, Cicero, AFG, Muiesan, Ml, Agabiti Rosei, E, Salvetti, S, Ungar, A, Rivasi, G, Pontremoli, R, Viazzi, V, Ferri, C, Bernardino, B, Galletti, F, D'elia, L, Palatini, P, Casiglia, E, Tikhonoff, V, Barbagallo, CM, Verdecchia, P, Masi, S, Mallamaci, M, Cirillo, M, Rattazzi, M, Pauletto, P, Cirillo, P, Gesualdo, L, Mazza, A, Volpe, M, Tocci, G, Iaccarino, G, Nazzato, P, Lippa, L, Parati, G, Dell'Oro, R, Quarti Trevano, F, Giannattasio, C, Virdis, A, Grassi, G, Borghi, C, Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension., Maloberti, A, Bombelli, M, Facchetti, R, Desideri, G, Cicero, Afg, Muiesan, Ml, Agabiti, Rosei, E, Salvetti, S, Ungar, A, Rivasi, G, Pontremoli, R, Viazzi, V, Ferri, C, Bernardino, B, Galletti, F, D'Elia, L, Palatini, P, Casiglia, E, Tikhonoff, V, Barbagallo, Cm, Verdecchia, P, Masi, S, Mallamaci, M, Cirillo, M, Rattazzi, M, Pauletto, P, Cirillo, P, Gesualdo, L, Mazza, A, Volpe, M, Tocci, G, Iaccarino, G, Nazzato, P, Lippa, L, Parati, G, Dell'Oro, R, Quarti, Trevano, F, Giannattasio, C, Virdis, A, Grassi, G, Borghi, C, Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of, Hypertension., Maloberti A, Bombelli M, Facchetti R, Barbagallo CM, Bernardino B, Rosei EA, Casiglia E, Cicero AFG, Cirillo M, Cirillo P, Desideri G, D'elia L, Dell'Oro R, Ferri C, Galletti F, Giannattasio C, Loreto G, Iaccarino G, Lippa L, Mallamaci F, Masi S, Mazza A, Muiesan ML, Nazzaro P, Parati G, Palatini P, Pauletto P, Pontremoli R, Quarti-Trevano F, Rattazzi M, Rivasi G, Salvetti M, Tikhonoff V, Tocci G, Ungar A, Verdecchia P, Viazzi F, Volpe M, Virdis A, Grassi G, Borghi C, Maloberti A, Bombelli M, Facchetti R, Barbagallo CM, Bernardino B, Rosei EA, Casiglia E, Giuseppe Cicero AF, Cirillo M, Cirillo P, Desideri G, D'elia L, Dell'Oro R, Ferri C, Galletti F, Giannattasio C, Loreto G, Iaccarino G, Lippa L, Mallamaci F, Masi S, Mazza A, Muiesan ML, Nazzaro P, Parati G, Palatini P, Pauletto P, Pontremoli R, Quarti-Trevano F, Rattazzi M, Rivasi G, Salvetti M, Tikhonoff V, Tocci G, Ungar A, Verdecchia P, Viazzi F, Volpe M, Virdis A, Grassi G, Borghi C, Barbagallo, C, Rosei, E, Cicero, A, Loreto, G, Mallamaci, F, Muiesan, M, Nazzaro, P, Quarti-Trevano, F, Salvetti, M, and Viazzi, F
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Cardiovascular event ,Male ,medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,Physiology ,medicine.medical_treatment ,diuretic ,Renal function ,Hyperuricemia ,cardiovascular events ,cardiovascular mortality ,uric acid ,030204 cardiovascular system & hematology ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Internal Medicine ,medicine ,Humans ,030212 general & internal medicine ,Diuretics ,Heart health ,Uric acid, cardiovascular events, diuretics, epidemiology ,cardiovascular events, cardiovascular mortality, diuretic, uric acid ,business.industry ,Serum uric acid ,Middle Aged ,medicine.disease ,chemistry ,Hypertension ,Uric acid ,Diuretic ,Cardiology and Cardiovascular Medicine ,business ,Cohort study - Abstract
Objective Although the relationship between hyperuricemia and cardiovascular events has been extensively examined, data on the role of diuretic-related hyperuricemia are still scanty. The present study was designed to collect information on the relationship between diuretic-related hyperuricemia and cardiovascular events. Methods The URic acid Right for heArt Health (URRAH) study is a nationwide, multicentre, observational cohort study involving data on individuals recruited from all the Italy territory under the patronage of the Italian Society of Hypertension with an average follow-up period of 122.3 ± 66.9 months. Patients were classified into four groups according to the diuretic use (yes vs. no) and serum uric acid (SUA) levels (higher vs. lower than the median value of 4.8 mg/dl). All-cause death, cardiovascular deaths and first cardiovascular event were considered as outcomes. Results Seventeen thousand, seven hundred and forty-seven individuals were included in the analysis. Mean age was 57.1 ± 15.2 years, men were 45.3% and SBP and DBP amounted to 144.1 ± 24.6 and 85.2 ± 13.2 mmHg. 17.2% of individuals take diuretics of whom 58% had SUA higher than median value. Patients with hyperuricemia without diuretic use served as reference group. In multivariate adjusted analysis (sex, age, SBP, BMI, glucose, total cholesterol, and glomerular filtration rate) individuals with hyperuricemia and diuretic use exhibit a similar risk for the three outcomes as compared with the reference group. Conclusion Our study showed that diuretic-related hyperuricemia carry a similar risk of cardiovascular events and all-cause mortality when compared with individuals that present hyperuricemia in absence of diuretic therapy.
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- 2021
14. Exploration into Uric and Cardiovascular Disease: Uric Acid Right for heArt Health (URRAH) Project, A Study Protocol for a Retrospective Observational Study
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Desideri, Giovambattista, Virdis, Agostino, Casiglia, Edoardo, Borghi Claudio, Cicero AFG, Muiesan ML, Rosei EA, Salvetti M, Ungar A, Rivasi G, Pontremoli R, Viazzi F, Desideri G, Grassi G, Bombelli M, Facchetti R, Ferri C, Bernardino B, Galletti F, D'Elia L, Palatini P, Casiglia E, Tikhonoff V, Barbagallo CM, Verdecchia P, Virdis, Pietrina, Masi S, Mallamaci F, Cirillo M, Rattazzi M, Pauletto P, Cirillo P, Gesualdo L, Mazza A, Giannattasio C, Maloberti A, Volpe M, Tocci G, Iaccarino G, Nazzaro, Desideri, Giovambattista, Virdis, Agostino, Casiglia, Edoardo, Borghi, Claudio, 644 Desideri, G, Virdis, A, Casiglia, E, Borghi, C, Cicero, A, Muiesan, M, Agabiti-Rosei, E, Salvetti, M, Ungar, A, Rivasi, G, Pontremoli, R, Viazzi, Grassi, G, Bombelli, M, Facchetti, R, Ferri, C, Bernardino, B, Galetti, F, D’Elia, L, Palatini, P, Tickhonoff, V, Barbagallo, C, Verdecchia, P, Masi, S, Mallamaci, F, Cirillo, M, Gesualdo, L, Mazza, A, Giannattasio, C, Maloberti, A, Ratazzi, M, Pauletto, P, Volpe, M, Tocci, G, Iaccarino, G, Nazzaro, P, Cicero, Afg, Muiesan, Ml, Rosei, Ea, Viazzi, F, Desideri, G, Galletti, F, D'Elia, L, Tikhonoff, V, Barbagallo, Cm, Virdis, Pietrina, Rattazzi, M, Cirillo, P, and Nazzaro
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medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,Prognosi ,Epidemiology ,Population ,Disease ,Hyperuricemia ,030204 cardiovascular system & hematology ,Risk Assessment ,Cardiovascular disease ,Uric acid ,Biomarkers ,Cardiovascular Diseases ,Humans ,Italy ,Prognosis ,Research Design ,Retrospective Studies ,Risk Factors ,Uric Acid ,Internal Medicine ,Cardiology and Cardiovascular Medicine ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Retrospective Studie ,Internal medicine ,medicine ,Risk factor ,education ,030203 arthritis & rheumatology ,education.field_of_study ,business.industry ,Risk Factor ,Retrospective cohort study ,Biomarker ,medicine.disease ,chemistry ,business ,Risk assessment ,Human - Abstract
The relevance of cardiovascular role played by levels of serum uric acid is dramatically growing, especially as cardiovascular risk factor potentially able to exert either a direct deleterious impact or a synergic effect with other cardiovascular risk factors. At the present time, it still remains undefined the threshold level of serum uric acid able to contribute to the cardiovascular risk. Indeed, the available epidemiological case studies are not homogeneous, and some preliminary data suggest that the so-called "cardiovascular threshold limit" may substantially differ from that identified as a cut-off able to trigger the acute gout attack. In such scenario, there is the necessity to clarify and quantify this threshold value, to insert it in the stratification of risk algorithm scores and, in turn, to adopt proper prevention and correction strategies. The clarification of the relationship between circulating levels of uric acid and cardio-nephro-metabolic disorders in a broad sample representative of general population is critical to identify the threshold value of serum uric acid better discriminating the increased risk associated with uric acid. The Uric acid Right for heArt Health (URRAH) project has been designed to define, as primary objective, the level of uricemia above which the independent risk of cardiovascular disease may increase in a significantly manner in a general Italian population.
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- 2018
15. Genetic epidemiology of autosomal recessive hypercholesterolemia in Sicily: Identification by next-generation sequencing of a new kindred
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Roberto Monastero, Gabriella Misiano, Maurizio Averna, Davide Noto, V. Ingrassia, Antonina Pipitone, Vincenza Valenti, Angelo B. Cefalù, Rossella Spina, C. Scrimali, Carlo M. Barbagallo, Antonina Giammanco, Maria P. La Spada, Roberta Baschi, Spina, R., Noto, D., Barbagallo, C., Monastero, R., Ingrassia, V., Valenti, V., Baschi, R., Pipitone, A., Giammanco, A., La Spada, M., Misiano, G., Scrimali, C., Cefalu', A., and Averna, M.
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0301 basic medicine ,Male ,Settore MED/09 - Medicina Interna ,Endocrinology, Diabetes and Metabolism ,Familial hypercholesterolemia ,030204 cardiovascular system & hematology ,0302 clinical medicine ,Child ,N-Glycosyl Hydrolases ,Sicily ,Genetics ,Aged, 80 and over ,education.field_of_study ,Nutrition and Dietetics ,Allele frequency ,Homozygote ,High-Throughput Nucleotide Sequencing ,Autosomal recessive hypercholesterolemia ,Middle Aged ,Autosomal Recessive Hypercholesterolemia ,Settore MED/26 - Neurologia ,Female ,Cardiology and Cardiovascular Medicine ,Adult ,Adolescent ,Genotype ,Population ,Hypercholesterolemia ,Biology ,DNA sequencing ,03 medical and health sciences ,Young Adult ,ARH1 ,Internal Medicine ,medicine ,Humans ,Allele ,education ,Genotyping ,Alleles ,Adaptor Proteins, Signal Transducing ,Aged ,Heterozygous carrier ,Sequence Analysis, DNA ,medicine.disease ,NGS-based gene panel ,030104 developmental biology ,Genetic epidemiology ,Receptors, LDL - Abstract
Background Autosomal recessive hypercholesterolemia (ARH) is a rare inherited lipid disorder. In Sardinia, differently from other world regions, the mutated allele frequency is high. It is caused by mutations in the low-density lipoprotein receptor adaptor protein 1 gene. Fourteen different mutations have been reported so far; in Sardinia, 2 alleles (ARH1 and ARH2) explain most of the cases. Four ARH patients, all carriers of the ARH1 mutation, have been identified in mainland Italy and 2 in Sicily. Objective The objectives of the study were to improve the molecular diagnosis of familial hypercholesterolemia (FH) and to estimate the frequency of the ARH1 allele in 2 free-living Sicilian populations. Methods We sequenced by targeted next-generation sequencing 20 genes related to low-density lipoprotein metabolism in 50 hypercholesterolemic subjects. Subjects from 2 free-living populations from Northern (Ventimiglia Heart Study, 848 individuals) and Southern Sicily (Zabut Zabut Aging Project, 1717 individuals) were genotyped for ARH1 allele. Results We identified 1 homozygous carrier of the ARH1 mutation among the 50 hypercholesterolemic outpatients. Population-based genotyping of ARH1 in 2565 subjects allowed the identification of 1 heterozygous carrier. The overall estimated allele frequency of ARH1 in Sicily was 0.0002 (0.02%). Conclusions The identification of a new case of ARH in Sicily among 50 clinically diagnosed FH highlights the importance of next-generation sequencing analysis as tool to improve the FH diagnosis. Our results also indicate that ARH1 carrier status is present in ∼1:2500 of Sicilian inhabitants, confirming that ARH is extremely rare outside Sardinia.
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- 2017
16. Familial hypercholesterolemia: The Italian Atherosclerosis Society Network (LIPIGEN)
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Averna, Maurizio, Cefalã¹, Angelo B., Casula, Manuela, Noto, Davide, Arca, Marcello, Bertolini, Stefano, Calandra, Sebastiano, Catapano, Alberico L., Tarugi, Patrizia, Catapano, Alberico Luigi, Pellegatta, Fabio, Angelico, Francesco, Bartuli, Andrea, Biasucci, Giacomo, Biolo, Gianni, Bonanni, Luca, Bonomo, Katia, Borghi, Claudio, Bossi, Antonio Carlo, Branchi, Adriana, Carubbi, Francesca, Cipollone, Francesco, Citroni, Nadia, Federici, Massimo, Ferri, Claudio, Fiorenza, Anna Maria, Giaccari, Andrea, Giorgino, Francesco, Guardamagna, Ornella, Iannuzzi, Arcangelo, Iughetti, Lorenzo, Lupattelli, Graziana, Mandraffino, Giuseppe, Marcucci, Rossella, Mombelli, Giuliana, Muntoni, Sandro, Pecchioli, Valerio, Pederiva, Cristina, Pipolo, Antonio, Pisciotta, Livia, Pujia, Arturo, Purrello, Francesco, Repetti, Elena, Rubba, Paolo, Sabbà, Carlo, Sampietro, Tiziana, Sarzani, Riccardo, Tagliabue, Milena Paola, Trenti, Chiara, Vigna, Giovanni Battista, Werba, Josà Pablo, Zambon, Sabina, Zenti, Maria Grazia, Montali, Anna, Fortunato, Giuliana, Grigore, Liliana, Del Ben, Maria, Maranghi, Marianna, Barbagallo, Carlo M., Buonuomo, Paola Sabrina, Capra, Maria Elena, Vinci, Pierandrea, D'Addato, Sergio, Galbiati, Stella, Nascimbeni, Fabio, Bucci, Marco, Spagnoli, Walter, Cardolini, Iris, Cervelli, Nazzareno, Emanuela, Colombo, Vinsin, A. Sun, Laviola, Luigi, Bello, Francesca, Chiariello, Giuseppe, Predieri, Barbara, Siepi, Donatella, Saitta, Antonino, Giusti, Betti, Pavanello, Chiara, Lussu, Milena, Prati, Lucia, Banderali, Giuseppe, Balleari, Giulia, Montalcini, Tiziana, Scicali, Roberto, Gentile, Luigi, Gentile, Marco, Suppressa, Patrizia, Sbrana, Francesco, Cocci, Guido, Benso, Andrea, Negri, Emanuele Alberto, Ghirardello, Omar, Lorenzo, Vigo, Zambon, Alberto, Enzo, Bonora, Minicocci, Ilenia, Spina, Rossella, Orlando, Camilla, Di Taranto, Maria Donata, Chiodo, Lorenzo, Garlaschelli, Katia, Manzato, Enzo, Tragni, Elena, Averna, M., Cefalu', A., Casula, M., Noto, D., Arca, M., Bertolini, S., Calandra, S., Catapano, A., Tarugi, P., Pellegatta, F., Angelico, F., Bartuli, A., Biasucci, G., Biolo, G., Bonanni, L., Bonomo, K., Borghi, C., Bossi, A., Branchi, A., Carubbi, F., Cipollone, F., Citroni, N., Federici, M., Ferri, C., Fiorenza, A., Giaccari, A., Giorgino, F., Guardamagna, O., Iannuzzi, A., Iughetti, L., Lupattelli, G., Mandraffino, G., Marcucci, R., Mombelli, G., Muntoni, S., Pecchioli, V., Pederiva, C., Pipolo, A., Pisciotta, L., Pujia, A., Purrello, F., Repetti, E., Rubba, P., Sabbã , C., Sampietro, T., Sarzani, R., Tagliabue, M., Trenti, C., Vigna, G., Werba, J., Zambon, S., Zenti, M., Montali, A., Fortunato, G., Grigore, L., Del Ben, M., Maranghi, M., Cefalã¹, A., Barbagallo, C., Buonuomo, P., Capra, M., Vinci, P., D'Addato, S., Galbiati, S., Nascimbeni, F., Bucci, M., Spagnoli, W., Cardolini, I., Cervelli, N., Emanuela, C., Vinsin, A., Laviola, L., Bello, F., Chiariello, G., Predieri, B., Siepi, D., Saitta, A., Giusti, B., Pavanello, C., Lussu, M., Prati, L., Banderali, G., Balleari, G., Montalcini, T., Scicali, R., Gentile, L., Gentile, M., Suppressa, P., Sbrana, F., Cocci, G., Benso, A., Negri, E., Ghirardello, O., Lorenzo, V., Zambon, A., Enzo, B., Minicocci, I., Spina, R., Orlando, C., Di Taranto, M., Chiodo, L., Garlaschelli, K., Manzato, E., Tragni, E., Averna, Maurizio, Cefalã¹, Angelo B., Casula, Manuela, Noto, Davide, Arca, Marcello, Bertolini, Stefano, Calandra, Sebastiano, Catapano, Alberico L., Tarugi, Patrizia, Catapano, Alberico Luigi, Pellegatta, Fabio, Angelico, Francesco, Bartuli, Andrea, Biasucci, Giacomo, Biolo, Gianni, Bonanni, Luca, Bonomo, Katia, Borghi, Claudio, Bossi, Antonio Carlo, Branchi, Adriana, Carubbi, Francesca, Cipollone, Francesco, Citroni, Nadia, Federici, Massimo, Ferri, Claudio, Fiorenza, Anna Maria, Giaccari, Andrea, Giorgino, Francesco, Guardamagna, Ornella, Iannuzzi, Arcangelo, Iughetti, Lorenzo, Lupattelli, Graziana, Mandraffino, Giuseppe, Marcucci, Rossella, Mombelli, Giuliana, Muntoni, Sandro, Pecchioli, Valerio, Pederiva, Cristina, Pipolo, Antonio, Pisciotta, Livia, Pujia, Arturo, Purrello, Francesco, Repetti, Elena, Rubba, Paolo, Sabbã , Carlo, Sampietro, Tiziana, Sarzani, Riccardo, Tagliabue, Milena Paola, Trenti, Chiara, Vigna, Giovanni Battista, Werba, Josã Pablo, Zambon, Sabina, Zenti, Maria Grazia, Montali, Anna, Fortunato, Giuliana, Grigore, Liliana, DEL BELLO, Francesca, Maranghi, Marianna, Barbagallo, Carlo M., Buonuomo, Paola Sabrina, Capra, Maria Elena, Vinci, Pierandrea, D'Addato, Sergio, Galbiati, Stella, Nascimbeni, Fabio, Bucci, Marco, Spagnoli, Walter, Cardolini, Iri, Cervelli, Nazzareno, Emanuela, Colombo, Vinsin, A. Sun, Laviola, Luigi, Bello, Francesca, Chiariello, Giuseppe, Predieri, Barbara, Siepi, Donatella, Saitta, Antonino, Giusti, Betti, Pavanello, Chiara, Lussu, Milena, Prati, Lucia, Banderali, Giuseppe, Balleari, Giulia, Montalcini, Tiziana, Scicali, Roberto, Gentile, Luigi, Gentile, Marco, Suppressa, Patrizia, Sbrana, Francesco, Cocci, Guido, Benso, Andrea, Negri, Emanuele Alberto, Ghirardello, Omar, Lorenzo, Vigo, Zambon, Alberto, Enzo, Bonora, Minicocci, Ilenia, Spina, Rossella, Orlando, Camilla, Di Taranto, Maria Donata, Chiodo, Lorenzo, Garlaschelli, Katia, Manzato, Enzo, Tragni, Elena, Cefalù, Angelo B., Sabbà, Carlo, Werba, Josè Pablo, Del Ben, Maria, and Colombo, Emanuela
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0301 basic medicine ,Candidate gene ,Genetic testing ,Settore MED/09 - Medicina Interna ,Databases, Factual ,DNA Mutational Analysis ,Disease ,Familial hypercholesterolemia ,030204 cardiovascular system & hematology ,0302 clinical medicine ,Dyslipidemias ,National network ,Internal Medicine ,Cardiology and Cardiovascular Medicine ,Risk Factors ,Prospective Studies ,Program Development ,Prospective cohort study ,medicine.diagnostic_test ,General Medicine ,Prognosis ,Cholesterol ,Phenotype ,Italy ,Genetic Markers ,medicine.medical_specialty ,MEDLINE ,Hyperlipoproteinemia Type II ,03 medical and health sciences ,Databases ,Internal medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,Factual ,Retrospective Studies ,business.industry ,Settore MED/13 - ENDOCRINOLOGIA ,Retrospective cohort study ,medicine.disease ,Atherosclerosis ,Mutation ,030104 developmental biology ,Endocrinology ,Dyslipidemia ,Genetic marker ,business - Abstract
Background and aims: Primary dyslipidemias are a heterogeneous group of disorders characterized by abnormal levels of circulating lipoproteins. Among them, familial hypercholesterolemia is the most common lipid disorder that predisposes for premature cardiovascular disease. We set up an Italian nationwide network aimed at facilitating the clinical and genetic diagnosis of genetic dyslipidemias named LIPIGEN (LIpid TransPort Disorders Italian GEnetic Network). Methods: Observational, multicenter, retrospective and prospective study involving about 40 Italian clinical centers. Genetic testing of the appropriate candidate genes at one of six molecular diagnostic laboratories serving as nationwide DNA diagnostic centers. Results and conclusions: From 2012 to October 2016, available biochemical and clinical information of 3480 subjects with familial hypercholesterolemia identified according to the Dutch Lipid Clinic Network (DLCN) score were included in the database and genetic analysis was performed in 97.8% of subjects, with a mutation detection rate of 92.0% in patients with DLCN score >= 6. The establishment of the LIPIGEN network will have important effects on clinical management and it will improve the overall identification and treatment of primary dyslipidemias in Italy. (C) 2017 The Authors. Published by Elsevier Ireland Ltd.
- Published
- 2017
17. Identification Of P.Leu167Del Apoe Gene Mutation By Next Generation Sequencing In A Large Hypercholesterolemic Family
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V. Ingrassia, Maurizio Averna, G.I. Altieri, F. Brucato, Francesca Fayer, C. Scrimali, Davide Noto, C.M. Barbagallo, A. Giammanco, Vincenza Valenti, Rossella Spina, Angelo B. Cefalù, Gabriella Misiano, Scrimali, C, Spina, R, Ingrassia, V, Cefalu, AB, Brucato, F, Misiano, G, Valenti, V, Noto, D, Altieri, GI, Fayer, F, Giammanco, A, Barbagallo, C, and Averna, M
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Apolipoprotein E ,Genetics ,Settore MED/09 - Medicina Interna ,NEXT GENERATION SEQUENCING HYPERCHOLESTEROLEMIA ,Mutation (genetic algorithm) ,APOE GENE ,Identification (biology) ,Biology ,Cardiology and Cardiovascular Medicine ,MUTATION ,DNA sequencing - Published
- 2019
18. Baseline metabolic disturbances and the twenty-five years risk of incident cancer in a Mediterranean population
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D. Sbordone, Maurizio Averna, Rossella Spina, F. La Seta, G. Crupi, Davide Noto, R. Termini, G. Cavera, Vincenza Valenti, A Falletta, Rosalia Caldarella, Carlo M. Barbagallo, Antonina Giammanco, M. Burrascano, Francesca Fayer, V. Scafidi, A. Ganci, G.I. Altieri, Angelo B. Cefalù, Ornella Palesano, Noto, D., Cefalu', A., Barbagallo, C., Ganci, A., Cavera, G., Fayer, F., Palesano, O., Spina, R., Valenti, V., Altieri, G., Caldarella, R., Giammanco, A., Termini, R., Burrascano, M., Crupi, G., Falletta, A., Scafidi, V., Sbordone, D., La Seta, F., and Averna, M.
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0301 basic medicine ,Blood Glucose ,Male ,Settore MED/09 - Medicina Interna ,Time Factors ,Mediterranean diet ,Epidemiology ,Endocrinology, Diabetes and Metabolism ,Medicine (miscellaneous) ,Type 2 diabetes ,Diet, Mediterranean ,0302 clinical medicine ,Risk Factors ,Neoplasms ,Prevalence ,Cancer ,Metabolic Syndrome ,education.field_of_study ,Nutrition and Dietetics ,Incidence (epidemiology) ,Incidence ,Lipid ,Middle Aged ,Lipids ,Italy ,Cardiovascular Diseases ,030220 oncology & carcinogenesis ,Area Under Curve ,Female ,Diet, Healthy ,Cardiology and Cardiovascular Medicine ,medicine.medical_specialty ,Population ,Risk Assessment ,Disease-Free Survival ,03 medical and health sciences ,Internal medicine ,medicine ,Humans ,Obesity ,education ,Aged ,Proportional Hazards Models ,Retrospective Studies ,Chi-Square Distribution ,business.industry ,Proportional hazards model ,Protective Factors ,medicine.disease ,030104 developmental biology ,Endocrinology ,ROC Curve ,Multivariate Analysis ,Metabolic syndrome ,Insulin Resistance ,business ,Biomarkers - Abstract
Background and aims Obesity is predictive of metabolic syndrome (metS), type 2 diabetes, cardiovascular (CV) disease and cancer. The aim of the study is to assess the risk of incident cancer connected to obesity and metS in a Mediterranean population characterized by a high prevalence of obesity. Methods and results As many as 1133 subjects were enrolled in two phases and followed for 25 years (859 subjects) or 11 years (274 subjects) and incident cancer was registered in the follow-up period. Anthropometric measures and biochemical parameters were filed at baseline and evaluated as predictors of incident cancer by measuring hazards ratios (HR) using multivariate Cox parametric hazards models. Best predictive threshold for metabolic parameters and metS criteria were recalculated by ROC analysis. Fasting Blood Glucose >5.19 mmol/L [HR = 1.58 (1.0–2.4)] and the TG/HDL ratio (log 10 ) (Males > 0.225, Females > 0.272) [HR = 2.44 (1.3–4.4)] resulted independent predictors of survival free of cancer with a clear additive effect together with age classes [45–65 years, HR = 2.47 (1.3–4.4), 65–75 years HR = 3.80 (2.0–7.1)] and male gender [HR = 2.07 (2.3–3.1)]. Conclusions Metabolic disturbances are predictive of cancer in a 25 years follow-up of a Mediterranean population following a traditional Mediterranean diet. The high prevalence of obesity and metS and the observed underlying condition of insulin resistance expose this population to an increased risk of cardiovascular disease and cancer despite the healthy nutritional habits.
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- 2016
19. Association between familial hypobetalipoproteinemia and the risk of diabetes. Is this the other side of the cholesterol-diabetes connection? A systematic review of literature
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Patrizia Tarugi, Marcello Arca, Carlo M. Barbagallo, Maurizio Averna, Angelo B. Cefalù, Davide Noto, Noto, D., Arca, M., Tarugi, P., Cefalu', A., Barbagallo, C., and Averna, M.
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0301 basic medicine ,Proband ,Male ,medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,Apolipoprotein B ,Endocrinology, Diabetes and Metabolism ,Population ,Prevalence ,Familial hypercholesterolemia ,030204 cardiovascular system & hematology ,Hypobetalipoproteinemias ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Endocrinology ,Internal medicine ,Diabetes mellitus ,Internal Medicine ,medicine ,Diabetes Mellitus ,Humans ,Familial hypobetalipoproteinemia ,Diabetes mellitus risk ,education ,education.field_of_study ,biology ,Cholesterol ,business.industry ,PCSK9 ,Statins ,Statin ,General Medicine ,Cholesterol, LDL ,medicine.disease ,Familial hypobetalipoproteinemia-Cholesterol- Diabetes mellitus risk- Statins ,030104 developmental biology ,chemistry ,biology.protein ,lipids (amino acids, peptides, and proteins) ,Female ,business - Abstract
Statin therapy is beneficial in reducing LDL cholesterol (LDL-C) levels and cardiovascular events, but it is associated with the risk of incident diabetes mellitus (DM). Familial hypercholesterolemia (FH) is characterized by genetically determined high levels of plasma LDL-C and a low prevalence of DM. LDL-C levels seem then inversely correlated with prevalence of DM. Familial hypobetalipoproteinemia (FHBL) represents the genetic mirror of FH in terms of LDL-C levels, very low in subjects carrying mutations of APOB, PCSK9 (FHBL1) or ANGPTL3 (FHBL2). This review explores the hypothesis that FHBL might represent also the genetic mirror of FH in terms of prevalence of DM and that it is expected to be increased in FHBL in comparison with the general population. A systematic review of published literature on FHBL was made by searching PubMed (1980–2016) for articles presenting clinical data on FHBL probands and relatives. The standardized prevalence rates of DM in FHBL1 were similar to those of the reference population, with a prevalence rate of 8.2 and 9.2%, respectively, while FHBL2 showed a 4.9% prevalence of DM. In conclusion, low LDL-C levels of FHBL do not seem connected to DM as it happens in subjects undergoing statin therapy and the diabetogenic effect of statins has to be explained by mechanisms that do not rely exclusively on the reduced levels of LDL-C. The review also summarizes the published data on the effects of FHBL on insulin sensitivity and the relationships between FH, statin therapy, FHBL1 and intracellular cholesterol metabolism, evaluating possible diabetogenic pathways.
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- 2016
20. Albumin versus solvent/detergent-treated pooled plasma as replacement fluid for long-term plasma exchange therapy in a patient with primary hypertriglyceridemia and recurrent hyperlipidemic pancreatitis
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Danilo, Di Bona, Angelo B, Cefalù, Elisabetta, Scirè, Giacomo M, Lima, Claudia Maria, Rizzo, Antonina, Giammanco, Carlo M, Barbagallo, Maurizio R, Averna, Sergio, Rizzo, Calogero, Caruso, Di Bona, D., Cefalù, A., Scirè, E., Lima, G., Rizzo, C., Giammanco, A., Barbagallo, C., Averna, M., Rizzo, S., and Caruso, C.
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Adult ,Hypertriglyceridemia ,Male ,Settore MED/09 - Medicina Interna ,Pancreatitis ,Albumins ,plasma exchange ,Detergents ,Humans ,Plasmapheresis ,LPL ,triglycerides - Abstract
Chylomicronemia syndrome is a metabolic condition characterized by severe fasting hypertrigliceridemia (≥ 1000 mg/dL) and other clinical features including chronic abdominal pain and recurrent acute pancreatitis. In patients with acute or recurrent pancreatitis, plasma exchange (PEx) is indicated for the treatment of acute disease and prevention of recurrence. The use of plasma instead of albumin as replacement fluid has been suggested for its putative ability to replace the deficient enzyme possibly leading to better clinical improvement.A 40-year-old man with chylomicronemia syndrome due to a newly identified loss-of-function mutation in the lipoprotein lipase (LPL) gene (IVS2, c.250-1G/C) has been treated at our hospital since the age of 13. From age 18 to age 34, the patient had five episodes of acute pancreatitis while his triglyceride (TG) levels were extremely high (2500-4000 mg/dL). As the TG levels remained stable over 4000 mg/dL despite the maximum medical treatment, the patient started long-term PEx treatment on a weekly basIs. Both albumin and plasma have been used as replacement solution. Thirty months from the beginning of this treatment, no episode of acute pancreatitis has been reported, and the chronic abdominal pain fully disappeared. No differences were observed between the use of albumin or plasma as replacement solution.Long-term PEx is effective in preventing the recurrence of acute pancreatitis and in treatment of chronic abdominal pain in this patient with chylomicronemia syndrome. Plasma is not more effective than albumin in lipid reduction, likely because of its extremely low enzyme content. Therefore, in patients with LPL deficiency serum albumin should be preferred to plasma as replacement fluid because of the low rate of side effects and reduced costs.
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- 2016
21. Novel CREB3L3 Nonsense Mutation in a Family With Dominant Hypertriglyceridemia
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Vincenza Valenti, Antonina Giammanco, V. Ingrassia, Carlo M. Barbagallo, Maria D. Panno, Angelo B. Cefalù, A. Ganci, Rossella Spina, Maurizio Averna, Davide Noto, Cefalù, A., Spina, R., Noto, D., Valenti, V., Ingrassia, V., Giammanco, A., Panno, M., Ganci, A., Barbagallo, C., and Averna, M.
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Proband ,Adult ,Male ,Candidate gene ,Heterozygote ,Settore MED/09 - Medicina Interna ,Heredity ,Adolescent ,Nonsense mutation ,DNA Mutational Analysis ,Penetrance ,Biology ,medicine.disease_cause ,Severity of Illness Index ,Frameshift mutation ,Exon ,Young Adult ,medicine ,Humans ,Genetic Predisposition to Disease ,triglyceride ,Cyclic AMP Response Element-Binding Protein ,Triglycerides ,Aged ,Genetics ,Aged, 80 and over ,Hypertriglyceridemia ,Mutation ,Middle Aged ,medicine.disease ,Pedigree ,Phenotype ,Codon, Nonsense ,Female ,mutation ,Cardiology and Cardiovascular Medicine ,Biomarkers - Abstract
Objective— Cyclic AMP responsive element–binding protein 3–like 3 ( CREB3L3 ) is a novel candidate gene for dominant hypertriglyceridemia. To date, only 4 kindred with dominant hypertriglyceridemia have been found to be carriers of 2 nonsense mutations in CREB3L3 gene (245fs and W46X). We investigated a family in which hypertriglyceridemia displayed an autosomal dominant pattern of inheritance. Approach and Results— The proband was a 49-year-old woman with high plasma triglycerides (≤1300 mg/dL; 14.68 mmol/L). Her father had a history of moderate hypertriglyceridemia, and her 51-year-old brother had triglycerides levels as high as 1600 mg/dL (18.06 mmol/L). To identify the causal mutation in this family, we analyzed the candidate genes of recessive and dominant forms of primary hypertriglyceridemia by direct sequencing. The sequencing of CREB3L3 gene led to the discovery of a novel minute frame shift mutation in exon 3 of CREB3L3 gene, predicted to result in the formation of a truncated protein devoid of function (c.359delG–p.K120fsX20). Heterozygosity for the c.359delG mutation resulted in a severe phenotype occurring later in life in the proband and her brother and a good response to diet and a hypotriglyceridemic treatment. The same mutation was detected in a 13-year-old daughter who to date is normotriglyceridemic. Conclusions— We have identified a novel pathogenic mutation in CREB3L3 gene in a family with dominant hypertriglyceridemia with a variable pattern of penetrance.
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- 2015
22. Role of Nutraceuticals in Hypolipidemic Therapy
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Carlo M. Barbagallo, Maurizio Averna, Davide Noto, Angelo B. Cefalù, Barbagallo, C., Cefalù, A., Noto, D., and Averna, M.
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lcsh:Diseases of the circulatory (Cardiovascular) system ,Settore MED/09 - Medicina Interna ,Combination therapy ,Pharmacology ,Cardiovascular Medicine ,lipids ,chemistry.chemical_compound ,Nutraceutical ,Berberine ,lipid ,Red yeast rice ,Reviews in Medicine ,Medicine ,LDL-cholesterol ,Policosanol ,Active ingredient ,nutraceuticals ,business.industry ,cardiovascular prevention ,Clinical trial ,chemistry ,lcsh:RC666-701 ,Intestinal cholesterol absorption ,hypolipidemic therapy ,nutraceutical ,Cardiology and Cardiovascular Medicine ,business ,medicine.drug - Abstract
Nutraceuticals are food components or active ingredients present in foods and used in therapy. This article analyzes the characteristics of the molecules with a lipid-lowering effect. The different nutraceuticals may have different mechanisms of action: inhibition of cholesterol synthesis primarily through action on the enzyme HMG-CoA reductase (policosanol, polyphenols, garlic and, above all, red yeast rice), increase in LDL receptor activity (berberine), reduction of intestinal cholesterol absorption (garlic, plant sterols, probiotics), and also the ability to interfere with bile metabolism (probiotics, guggul). Based on the different mechanisms of action, some nutraceuticals are then able to enhance the action of statins. Nutraceuticals are often used without relevant evidence: mechanisms of action are not clearly confirmed; most of clinical data are derived from small, uncontrolled studies, and finally, except for fermented red rice, there are no clinical trials which may document the relationship between these interventions and the reduction of clinical events. Therefore, among all nutraceuticals, it is necessary to extrapolate those having a really documentable efficacy. However, these kinds of treatments are usually well-tolerated by patients. Overall, subjects with a middle or low cardiovascular risk are the best indication of nutraceuticals, but they may also be useful for patients experiencing side effects during classical therapies. Finally, in consideration of the additive effect of some nutraceuticals, a combination therapy with classical drugs may improve the achievement of clinical targets. Thus, nutraceuticals may be a helpful alternative in hypolipidemic treatment and, if properly used, might represent a valid strategy of cardiovascular prevention.
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- 2015
23. Factor VII Activity Is an Independent Predictor of Cardiovascular Mortality in Elderly Women of a Sicilian Population: Results of an 11-year Follow-up
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Giovanni Davì, G. Cavera, M. Sapienza, Angelo B. Cefalù, Notarbartolo A, Maurizio Averna, Davide Noto, Carlo M. Barbagallo, Noto, D., Barbagallo, C., Cefalu, A., Cavera, G., Sapienza, M., Notarbartolo, A., Davi, G., and Averna, M.
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Male ,Settore MED/09 - Medicina Interna ,Epidemiology ,Comorbidity ,Logistic regression ,Fibrinogen ,Cohort Studies ,chemistry.chemical_compound ,Risk Factors ,Prevalence ,Factor VII activity ,Lipoprotein ,Sicily ,education.field_of_study ,Factor VII ,Smoking ,Age Factors ,Hematology ,Middle Aged ,Cardiovascular disease ,Cardiovascular Diseases ,Hypertension ,Female ,medicine.drug ,Adult ,Risk ,medicine.medical_specialty ,Hypercholesterolemia ,Population ,Hyperlipoproteinemia Type II ,Sex Factors ,Diabetes mellitus ,Diabetes Mellitus ,medicine ,Humans ,Obesity ,education ,Aged ,Coagulation ,business.industry ,Cholesterol ,medicine.disease ,Surgery ,chemistry ,business ,Follow-Up Studies ,Demography - Abstract
SummaryThe aim of the Epidemiological project “Ventimiglia di Sicilia” is to identify the cardiovascular risk factors in a Sicilian population with a low risk profile and healthy nutritional habits. The risk of cardiovascular mortality in older subjects (over 60 years of age) is presented for an 11 year follow-up. Females showed higher prevalence of diabetes mellitus, hypertension, obesity and higher levels of total, LDL and HDL cholesterol, factor VII activity and fibrinogen compared to males. Cardiovascular mortality was related to hypertension and obesity in males, to high factor VII activity, obesity and diabetes mellitus in females. In a Logistic Regression model the same variables were independently correlated to cardiovascular mortality with the exception of obesity. In conclusion, these findings suggest that in a population with a low risk profile, other factors, such as factor VII activity, may emerge as predictors of cardiovascular mortality.
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- 2002
24. Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: A comparative risk assessment
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Danaei, G, Lu, Y, Singh, Gm, Carnahan, E, Stevens, Ga, Cowan, Mj, Farzadfar, F, Lin, Jk, Finucane, Mm, Rao, M, Khang, Yh, Riley, Lm, Mozaffarian, D, Lim, Ss, Ezzati, M, Aamodt, G, Abdeen, Z, Abdella, Na, Rahim, Hf, Addo, J, Aekplakorn, W, Afifi, Mm, Agabiti Rosei, E, Salinas, Ca, Agyemang, C, Ali, Mk, Ali, Mm, Al Nsour, M, Al Nuaim AR, Ambady, R, Di Angelantonio, E, Aro, P, Azizi, F, Babu, Bv, Bahalim, An, Barbagallo, Cm, Barbieri, Ma, Barceló, A, Barreto, Sm, Barros, H, Bautista, Le, Benetos, A, Bjerregaard, P, Björkelund, C, Bo, S, Bobak, M, Bonora, Enzo, Botana, Ma, Bovet, P, Breckenkamp, J, Breteler, Mm, Broda, G, Brown, Ij, Bursztyn, M, de León AC, Campos, H, Cappuccio, Fp, Capuano, V, Casiglia, E, Castellano, M, Castetbon, K, Cea, L, Chang, Cj, Chaouki, N, Chatterji, S, Chen, Cj, Chen, Z, Choi, Js, Chua, L, Cífková, R, Cobiac, Lj, Cooper, Rs, Corsi, Am, Costanza, Mc, Craig, Cl, Dankner, Rs, Dastgiri, S, Delgado, E, Dinc, G, Doi, Y, Dong, Gh, Dorsi, E, Dragano, N, Drewnowski, A, Eggertsen, R, Elliott, P, Engeland, A, Erem, C, Esteghamati, A, Fall, Ch, Fan, Jg, Ferreccio, C, Fezeu, L, Firmo, Jo, Florez, Hj, Fornés, Ns, Fowkes, Fg, Franceschini, G, Frisk, F, Fuchs, Fd, Fuller, El, Getz, L, Giampaoli, S, Gómez, Lf, Gomez Zumaquero JM, Graff Iversen, S, Grant, Jf, Carvajal, Rg, Gulliford, Mc, Gupta, R, Gupta, Pc, Gureje, O, Gutierrez, Hr, Hansen, Tw, Hata, J, He, J, Heim, N, Heinrich, J, Hemmingsson, T, Hennis, A, Herman, Wh, Herrera, Vm, Ho, S, Holdsworth, M, Frisman, Gh, Hopman, Wm, Hussain, A, Husseini, A, Ibrahim, Mm, Ikeda, N, Jacobsen, Bk, Jaddou, Hy, Jafar, Th, Janghorbani, M, Jasienska, G, Joffres, Mr, Jonas, Jb, Kadiki, Oa, Kalter Leibovici, O, Kamadjeu, Rm, Kaptoge, S, Karalis, I, Kastarinen, Mj, Katz, J, Keinan Boker, L, Kelly, P, Khalilzadeh, O, Kiechl, S, Kim, Kw, Kiyohara, Y, Kobayashi, J, Krause, Mp, Kubínová, R, Kurjata, P, Kusuma, Ys, Lam, Th, Langhammer, A, Lawes, Cm, Le, C, Lee, J, Lévy Marchal, C, Lewington, S, Li, Y, Lim, To, Lin, X, Lin, Cc, Lin, Hh, Lind, L, Lissner, L, Liu, X, Lopez Jaramillo, P, Lorbeer, R, Ma, G, Ma, S, Macià, F, Maclean, Dr, Maggi, S, Magliano, Dj, Makdisse, M, Mancia, G, Mannami, T, Marques Vidal, P, Mbanya, Jc, McFarlane Anderson, N, Miccoli, R, Miettola, J, Minh, Hv, Miquel, Jf, Miranda, Jj, Mohamed, Mk, Mohan, V, Mohanna, S, Mokdad, A, Mollentze, Wf, Morales, Dd, Morgan, K, Muiesan, Lm, Muntoni, S, Nabipour, I, Nakagami, T, Nangia, V, Nemesure, B, Neovius, M, Nerhus, Ka, Nervi, F, Neuhauser, H, Nguyen, M, Ninomiya, T, Noale, M, Oh, Sw, Ohkubo, T, Olivieri, Oliviero, Önal, Ae, Onat, A, Oróstegui, M, Ouedraogo, H, Pan, Wh, Panagiotakos, Db, Panza, F, Park, Y, Passos, Vm, Pednekar, Ms, Pelizzari, Pm, Peres, Ma, Pérez, C, Pérez Fernández, R, Pichardo, R, Phua, Hp, Pistelli, F, Plans, P, Polakowska, M, Poulter, N, Prabhakaran, D, Qiao, Q, Rafiei, M, Raitakari, Ot, Ramos, Lr, Rampal, S, Rampal, L, Rasmussen, F, Reddy, Kk, Redon, J, Revilla, L, Reyes García, V, Roaeid, Rb, Robinson, Ca, Rodriguez Artalejo, F, Rojas Martinez, R, Ronkainen, K, Rosero Bixby, L, Roth, Ga, Sachdev, Hs, Sánchez, Jr, Sanisoglu, Sy, Sans, S, Sarraf Zadegan, N, Scazufca, M, Schaan, Bd, Schapochnik, N, Schelleman, H, Schneider, Ij, Schooling, Cm, Schwarz, B, Sekuri, C, Sereday, Ms, Serra Majem, L, Shaw, J, Shera, As, Shi, Z, Shiri, R, Shu, Xo, Silva, Da, Silva, E, Simons, La, Smith, M, Söderberg, S, Soebardi, S, Solfrizzi, V, Sonestedt, E, Soysal, A, Stattin, P, Stein, Ad, Stergiou, Gs, Stessman, J, Sudo, A, Suka, M, Sundh, V, Sundquist, K, Sundström, J, Swai, Ab, Tai, Es, Tambs, K, Tesfaye, F, Thomas, Gn, Thorogood, M, Tilvis, Rs, Tobias, M, Torheim, Le, Trenkwalder, P, Tuomilehto, Jo, Tur, Ja, Tzourio, C, Uhernik, Ai, Ukoli, Fa, Unwin, N, Hoorn, Sv, Vanderpump, Mp, Varo, Jj, Veierød, Mb, Velásquez Meléndez, G, Verschuren, M, Viet, L, Villalpando, S, Vioque, J, Vollenweider, P, Volpato, S, Wang, N, Wang, Yx, Ward, M, Waspadji, S, Welin, Lx, Whitlock, G, Wilhelmsen, L, Willeit, J, Woodward, M, Wormser, D, Xavier, Aj, Xu, F, Xu, L, Yamamoto, A, Yang, G, Yang, X, Yeh, Lc, Yoon, Js, You, Q, Yu, Z, Zhang, J, Zhang, L, Zheng, W, Zhou, M, Ward, M., Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration, Danaei, G., Lu, Y., Singh, G.M., Carnahan, E., Stevens, G.A., Cowan, M.J., Farzadfar, F., Lin, J.K., Finucane, M.M., Rao, M., Khang, Y.H., Riley, L.M., Mozaffarian, D., Lim, S.S., Ezzati, M., Aamodt, G., Abdeen, Z., Abdella, N.A., Rahim, H.F., Addo, J., Aekplakorn, W., Afifi, M.M., Agabiti-Rosei, E., Salinas, C.A., Agyemang, C., Ali, M.K., Ali, M.M., Al-Nsour, M., Al-Nuaim, A.R., Ambady, R., Di Angelantonio, E., Aro, P., Azizi, F., Babu, B.V., Bahalim, A.N., Barbagallo, C.M., Barbieri, M.A., Barceló, A., Barreto, S.M., Barros, H., Bautista, L.E., Benetos, A., Bjerregaard, P., Björkelund, C., Bo, S., Bobak, M., Bonora, E., Botana, M.A., Bovet, P., Breckenkamp, J., Breteler, M.M., Broda, G., Brown, I.J., Bursztyn, M., de León, A.C., Campos, H., Cappuccio, F.P., Capuano, V., Casiglia, E., Castellano, M., Castetbon, K., Cea, L., Chang, C.J., Chaouki, N., Chatterji, S., Chen, C.J., Chen, Z., Choi, J.S., Chua, L., Cífková, R., Cobiac, L.J., Cooper, R.S., Corsi, A.M., Costanza, M.C., Craig, C.L., Dankner, R.S., Dastgiri, S., Delgado, E., Dinc, G., Doi, Y., Dong, G.H., Dorsi, E., Dragano, N., Drewnowski, A., Eggertsen, R., Elliott, P., Engeland, A., Erem, C., Esteghamati, A., Fall, C.H., Fan, J.G., Ferreccio, C., Fezeu, L., Firmo, J.O., Florez, H.J., Fornés, N.S., Fowkes, F.G., Franceschini, G., Frisk, F., Fuchs, F.D., Fuller, E.L., Getz, L., Giampaoli, S., Gómez, L.F., Gomez-Zumaquero, J.M., Graff-Iversen, S., Grant, J.F., Carvajal, R.G., Gulliford, M.C., Gupta, R., Gupta, P.C., Gureje, O., Gutierrez, H.R., Hansen, T.W., Hata, J., He, J., Heim, N., Heinrich, J., Hemmingsson, T., Hennis, A., Herman, W.H., Herrera, V.M., Ho, S., Holdsworth, M., Frisman, G.H., Hopman, W.M., Hussain, A., Husseini, A., Ibrahim, M.M., Ikeda, N., Jacobsen, B.K., Jaddou, H.Y., Jafar, T.H., Janghorbani, M., Jasienska, G., Joffres, M.R., Jonas, J.B., Kadiki, O.A., Kalter-Leibovici, O., Kamadjeu, R.M., Kaptoge, S., Karalis, I., Kastarinen, M.J., Katz, J., Keinan-Boker, L., Kelly, P., Khalilzadeh, O., Kiechl, S., Kim, K.W., Kiyohara, Y., Kobayashi, J., Krause, M.P., Kubínová, R., Kurjata, P., Kusuma, Y.S., Lam, T.H., Langhammer, A., Lawes, C.M., Le, C., Lee, J., Lévy-Marchal, C., Lewington, S., Li, Y., Lim, T.O., Lin, X., Lin, C.C., Lin, H.H., Lind, L., Lissner, L., Liu, X., Lopez-Jaramillo, P., Lorbeer, R., Ma, G., Ma, S., Macià, F., MacLean, D.R., Maggi, S., Magliano, D.J., Makdisse, M., Mancia, G., Mannami, T., Marques-Vidal, P., Mbanya, J.C., McFarlane-Anderson, N., Miccoli, R., Miettola, J., Minh, H.V., Miquel, J.F., Miranda, J.J., Mohamed, M.K., Mohan, V., Mohanna, S., Mokdad, A., Mollentze, W.F., Morales, D.D., Morgan, K., Muiesan, L.M., Muntoni, S., Nabipour, I., Nakagami, T., Nangia, V., Nemesure, B., Neovius, M., Nerhus, K.A., Nervi, F., Neuhauser, H., Nguyen, M., Ninomiya, T., Noale, M., Oh, S.W., Ohkubo, T., Olivieri, O., Önal, A.E., Onat, A., Oróstegui, M., Ouedraogo, H., Pan, W.H., Panagiotakos, D.B., Panza, F., Park, Y., Passos, V.M., Pednekar, M.S., Pelizzari, P.M., Peres, M.A., Pérez, C., Pérez-Fernández, R., Pichardo, R., Phua, H.P., Pistelli, F., Plans, P., Polakowska, M., Poulter, N., Prabhakaran, D., Qiao, Q., Rafiei, M., Raitakari, O.T., Ramos, L.R., Rampal, S., Rampal, L., Rasmussen, F., Reddy, K.K., Redon, J., Revilla, L., Reyes-García, V., Roaeid, R.B., Robinson, C.A., Rodriguez-Artalejo, F., Rojas-Martinez, R., Ronkainen, K., Rosero-Bixby, L., Roth, G.A., Sachdev, H.S., Sánchez, J.R., Sanisoglu, S.Y., Sans, S., Sarraf-Zadegan, N., Scazufca, M., Schaan, B.D., Schapochnik, N., Schelleman, H., Schneider, I.J., Schooling, C.M., Schwarz, B., Sekuri, C., Sereday, M.S., Serra-Majem, L., Shaw, J., Shera, A.S., Shi, Z., Shiri, R., Shu, X.O., Silva, D.A., Silva, E., Simons, L.A., Smith, M., Söderberg, S., Soebardi, S., Solfrizzi, V., Sonestedt, E., Soysal, A., Stattin, P., Stein, A.D., Stergiou, G.S., Stessman, J., Sudo, A., Suka, M., Sundh, V., Sundquist, K., Sundström, J., Swai, A.B., Tai, E.S., Tambs, K., Tesfaye, F., Thomas, G.N., Thorogood, M., Tilvis, R.S., Tobias, M., Torheim, L.E., Trenkwalder, P., Tuomilehto, J.O., Tur, J.A., Tzourio, C., Uhernik, A.I., Ukoli, F.A., Unwin, N., Hoorn, S.V., Vanderpump, M.P., Varo, J.J., Veierød, M.B., Velásquez-Meléndez, G., Verschuren, M., Viet, L., Villalpando, S., Vioque, J., Vollenweider, P., Volpato, S., Wang, N., Wang, Y.X., Ward, M., Waspadji, S., Welin, L.X., Whitlock, G., Wilhelmsen, L., Willeit, J., Woodward, M., Wormser, D., Xavier, A.J., Xu, F., Xu, L., Yamamoto, A., Yang, G., Yang, X., Yeh, L.C., Yoon, J.S., You, Q., Yu, Z., Zhang, J., Zhang, L., Zheng, W., Zhou, M., ACS - Amsterdam Cardiovascular Sciences, APH - Amsterdam Public Health, Public and occupational health, Danaei G, Lu Y, Singh GM, Stevens GA, Cowan MJ, Farzadfar F, Lin JK, Finucane MM, Rao M, Khang Y-H, Riley LM, Mozaffarian D, Lim SS, Ezzati M, Aamodt G, Abdeen Z, Abdella NA, Abdul Rahim HF, Addo J, Aekplakorn W, Afi fi MM, Agabiti-Rosei E, Aguilar Salinas CA, Agyemang C, Ali MK, Ali MM, Al-Nsour M, Al-Nuaim AR, Ambady R, Di Angelantonio E, Aro P, Azizi F, Babu BV, Bahalim AN, Barbagallo CM, Barbieri MA, Barcelo A, Barreto SM, Barros H, Bautista LE, Benetos A, Bjerregaard P, Bjorkelund C, Bo S, Bobak M, Bonora E, Botana MA, Bovet P, Breckenkamp J, Breteler MM, Broda G, Brown IJ, Bursztyn M, Cabrera de Leon A, Campos H, Cappuccio FP, Capuano V, Casiglia E, Castellano M, Castetbon K, Cea L, Chang C-J, Chaouki N, Chatterji S, Chen C-J, Chen Z, Choi J-S, Chua L, Cifkova R, Cobiac LJ, Cooper RS, Corsi AM, Costanza MC, Craig CL, Dankner RS, Dastgiri S, Delgado E, Dinc G, Doi Y, Dong G-H, Dorsi E, Dragano N, Drewnowski A, Eggertsen R, Elliott P, Anders Engeland, Erem C, Esteghamati A, Fall CHD, Fan J-G, Ferreccio C, Fezeu L, Firmo JO, Florez HF, Fornes NF, Fowkes FGR, Franceschini G, Frisk F, Fuchs FD, Fuller EL, Getz L, Giampaoli S, Gomez LF, Gomez-Zumaquero JM, Graff –Iversen S, Grant JF, Guerrero Carvajal R, Gulliford MC, Gupta R, Gupta PC, Gureje O, Gutierrez HR, Hansen TW, Hata J, He J, Heim N, Heinrich J, Hemmingsson T, Hennis A, Herman WH, Herrera VM, Ho S, Holdsworth M, Hollman Frisman G, Hopman WM, Hussain A, Husseini A, Ibrahim MM, Ikeda N, Jacobsen BK, Jaddou HY, Jafar TH, Janghorbani M, Jasienska G, Joffres MR, Jonas JB, Kadiki OA, Kalter-Leibovici O, Kamadjeu RM, Kaptoge S, Karalis I, Kastarinen MJ, Katz J, Keinan-Boker L, Kelly P, Khalilzadeh O, Kiechl S, Woong Kim KW, Kiyohara Y, Kobayashi J, Krause MP, Kubinova R, Kurjata P, Kusuma YS, Lam TH, Langhammer A, Lawes CMM, Le C, Lee J, Levy-Marchal C, Lewington S, Li Y, Lim TO, Lin X, Lin C-C, Lin H-H, Lind L, Lissner L, Liu X, Lopez-Jaramillo P, Lorbeer R, Ma G, Ma S, Macia F, MacLean DR, Maggi S, Magliano DJ, Makdisse M, Mancia G, Mannami T, Marques-Vidal P, Mbanya JCN, McFarlane-Anderson N, Miccoli R, Miettola J, Minh HV, Miquel JF, J Miranda JJ, Mohamed MK, Mohan V, Mohanna S, Mokdad A, Mollentze WF, Morales DD, Morgan K, Muiesan LM, Muntoni S, Nabipour I, Nakagami T, Nangia V, Nemesure B, Neovius M, Nerhus KA, Nervi F, Neuhauser H, Nguyen M, Ninomiya T, Noale M, Oh SW, Ohkubo T, Olivieri O, Onal AE, Onat A, Orostegui M, Ouedraogo H, Pan W-A, Panagiotakos DB, Panza F, Park Y, Passos VMA, Pednekar MS, Pelizzari PM, Peres MA, Perez C, Perez-Fernandez R, Pichardo R, Hwee Pin Phua, Francesco Pistelli, Plans P, Polakowska M, Poulter N, Prabhakaran D, Qiao Q, Rafiei M, Raitakari OT, Ramos LR, Rampal S, Rampal L, Rasmussen F, Reddy KKR, Josep Redon J, Revilla L, Reyes-GarciaV, Roaeid RB, Robinson CA, Rodriguez-Artalejo F, Rojas-Martinez R, Ronkainen K, Rosero-Bixby L, Roth GA, Sachdev HS, Sanchez JR, Sanisoglu SY, Sans S, Sarraf-Zadegan N, Scazufca M, Schaan BD, Schapochnik N, Schelleman H, Schneider IJC, Schooling CM, Schwarz B, Sekuri C, Sereday MS, Serra-Majem L, Shaw J, Shera AS, Shi Z, Shiri R, Shu XO, Santos Silva DA, Silva E, Simons LA, Smith M, Soderberg S, Soebardi S, Solfrizzi V, Sonestedt E, Soysal A, StattinP, Stein AD, Stergiou GS, Stessman J, Sudo A, Suka M, Sundh V, Sundquist K, Sundstrom J, Swai AB, Tai ES, Tambs K, Tesfaye F, Thomas GN, Thorogood M, Tilvis RS, Tobias M, Torheim LE, Trenkwalder P, Tuomilehto JO, Tur JA, Tzourio C, Uhernik A, Ukoli FA, Unwin N, Vander Hoorn S, Vanderpump MP, Varo JJ, Veierod MB, Velasquez-Melendez G, Verschuren M, Viet L, Villalpando S, Vioque J, Vollenweider P, Volpato S, Wang N, Wang YX, Ward M, Waspadji S, Welin LX, Whitlock G, Wilhelmsen L, Willeit J, Woodward M, Wormser D, Xavier AJ, Xu F, Xu L, Yamamoto A, Yang G, Yang X, Yeh L-C, Yoon J-S, You Q, Yu Z, Zhang J, Zhang L, Zheng W, Zhou M, Danaei, G, Lu, Y, Singh, G, Carnahan, E, Stevens, G, Cowan, M, Farzadfar, F, Lin, J, Finucane, M, Rao, M, Khang, Y, Riley, L, Arian, D, Lim, S, Ezzati, M, Aamodt, G, Abdeen, Z, Abdella, N, Rahim, H, Addo, J, Aekplakorn, W, Afifi, M, Agabiti-Rosei, E, Salinas, C, Agyemang, C, Ali, M, Al-Nsour, M, Al-Nuaim, A, Ambady, R, Angelantonio, E, Aro, P, Azizi, F, Babu, B, Bahalim, A, Barbagallo, C, Barbieri, M, Barceló, A, Barreto, S, Barros, H, Bautista, L, Benetos, A, Bjerregaard, P, Björkelund, C, Bo, S, Bobak, M, Bonora, E, Botana, M, Bovet, P, Breckenkamp, J, Breteler, M, Broda, G, Brown, I, Bursztyn, M, de León, A, Campos, H, Cappuccio, F, Capuano, V, Casiglia, E, Castellano, M, Castetbon, K, Cea, L, Chang, C, Chaouki, N, Chatterji, S, Chen, C, Chen, Z, Choi, J, Chua, L, Cífková, R, Cobiac, L, Cooper, R, Corsi, A, Costanza, M, Craig, C, Dankner, R, Dastgiri, S, Delgado, E, Dinc, G, Doi, Y, Dong, G, Dorsi, E, Dragano, N, Drewnowski, A, Eggertsen, R, Elliott, P, Engeland, A, Erem, C, Esteghamati, A, Fall, C, Fan, J, Ferreccio, C, Fezeu, L, Firmo, J, Florez, H, Fornés, N, Fowkes, F, Franceschini, G, Frisk, F, Fuchs, F, Fuller, E, Getz, L, Giampaoli, S, Gómez, L, Gomez-Zumaquero, J, Iversen, S, Grant, J, Carvajal, R, Gulliford, M, Gupta, R, Gupta, P, Gureje, O, Gutierrez, H, Hansen, T, Hata, J, He, J, Heim, N, Heinrich, J, Hemmingsson, T, Hennis, A, Herman, W, Herrera, V, Ho, S, Holdsworth, M, Frisman, G, Hopman, W, Hussain, A, Husseini, A, Ibrahim, M, Ikeda, N, Jacobsen, B, Jaddou, H, Jafar, T, Janghorbani, M, Jasienska, G, Joffres, M, Jonas, J, Kadiki, O, Kalter-Leibovici, O, Kamadjeu, R, Kaptoge, S, Karalis, I, Kastarinen, M, Katz, J, Keinan-Boker, L, Kelly, P, Khalilzadeh, O, Kiechl, S, Kim, K, Kiyohara, Y, Kobayashi, J, Krause, M, Kubínová, R, Kurjata, P, Kusuma, Y, Lam, T, Langhammer, A, Lawes, C, Le, C, Lee, J, Lévy-Marchal, C, Lewington, S, Li, Y, Lim, T, Lin, X, Lin, C, Lin, H, Lind, L, Lissner, L, Liu, X, Lopez-Jaramillo, P, Lorbeer, R, Ma, G, Ma, S, Macià, F, Maclean, D, Maggi, S, Magliano, D, Makdisse, M, Mancia, G, Mannami, T, Marques-Vidal, P, Mbanya, J, McFarlane-Anderson, N, Miccoli, R, Miettola, J, Minh, H, Miquel, J, Miranda, J, Mohamed, M, Mohan, V, Mohanna, S, Mokdad, A, Mollentze, W, Morales, D, Morgan, K, Lorenza M Muiesan, N, Muntoni, S, Nabipour, I, Nakagami, T, Nangia, V, Nemesure, B, Neovius, M, Nerhus, K, Nervi, F, Neuhauser, H, Nguyen, M, Ninomiya, T, Noale, M, Oh, S, Ohkubo, T, Olivieri, O, Önal, A, Onat, A, Oróstegui, M, Ouedraogo, H, Pan, W, Panagiotakos, D, Panza, F, Park, Y, Passos, V, Pednekar, M, Pelizzari, P, Peres, M, Cynthia Pérez, N, Pérez-Fernández, R, Pichardo, R, Phua, H, Pistelli, F, Plans, P, Polakowska, M, Poulter, N, Prabhakaran, D, Qiao, Q, Rafiei, M, Raitakari, O, Ramos, L, Rampal, S, Rampal, L, Rasmussen, F, Reddy, K, Redon, J, Revilla, L, Reyes-García, V, Roaeid, R, Robinson, C, Rodriguez-Artalejo, F, Rojas-Martinez, R, Ronkainen, K, Rosero-Bixby, L, Roth, G, Sachdev, H, Sánchez, J, Sanisoglu, S, Sans, S, Sarraf-Zadegan, N, Scazufca, M, Schaan, B, Schapochnik, N, Schelleman, H, Schneider, I, Schooling, C, Schwarz, B, Sekuri, C, Sereday, M, Serra-Majem, L, Shaw, J, Shera, A, Shi, Z, Shiri, R, Shu, X, Silva, D, Silva, E, Simons, L, Smith, M, Söderberg, S, Soebardi, S, Solfrizzi, V, Sonestedt, E, Soysal, A, Stattin, P, Stein, A, Stergiou, G, Stessman, J, Sudo, A, Suka, M, Sundh, V, Sundquist, K, Sundström, J, Swai, A, Tai, E, Tambs, K, Tesfaye, F, Thomas, G, Thorogood, M, Tilvis, R, Tobias, M, Torheim, L, Trenkwalder, P, Tuomilehto, J, Tur, J, Tzourio, C, Uhernik, A, Ukoli, F, Unwin, N, Hoorn, S, Vanderpump, M, Varo, J, Veierød, M, Velásquez-Meléndez, G, Verschuren, M, Viet, L, Villalpando, S, Vioque, J, Vollenweider, P, Volpato, S, Wang, N, Wang, Y, Ward, M, Waspadji, S, Lennart X Welin, N, Whitlock, G, Wilhelmsen, L, Willeit, J, Woodward, M, Wormser, D, André J Xavier, N, Xu, F, Xu, L, Yamamoto, A, Yang, G, Yang, X, Yeh, L, Yoon, J, You, Q, Yu, Z, Zhang, J, Zhang, L, Zheng, W, and Zhou, M
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Male ,Settore MED/09 - Medicina Interna ,kidney disease ,Endocrinology, Diabetes and Metabolism ,humanos ,coste de las enfermedades ,Disease ,Global Health ,Cohort Studies ,Endocrinology ,Cost of Illness ,cardiovascular disease ,Health Transition ,Risk Factors ,transición sanitaria ,estudios prospectivos ,Renal Insufficiency, Chronic -- complications -- epidemiology -- mortality ,evaluación de riesgos ,Renal Insufficiency ,Prospective Studies ,Chronic ,estudios de cohortes ,Metabolic Syndrome ,education.field_of_study ,diabetes ,Mortality rate ,Age Factors ,Cardiovascular Diseases ,Diabetes Complications ,Female ,Health Surveys ,Humans ,Metabolic Syndrome X ,Renal Insufficiency, Chronic ,Risk Assessment ,Sex Factors ,Spatio-Temporal Analysis ,Internal Medicine ,Cardiovascular Diseases -- complications -- epidemiology -- mortality ,Cardiovascular disease,Diabetes Mellitus, chronic kidney disease ,Diabetes Complications -- epidemiology -- mortality ,Sciences bio-médicales et agricoles ,Diabetes and Metabolism ,encuestas de salud ,análisis temporoespacial ,Risk assessment ,complicaciones de la diabetes ,insuficiencia renal ,medicine.medical_specialty ,Cardiovascular disease ,diabetes mortality ,Population ,enfermedades cardiovasculares ,Metabolic Syndrome X -- complications -- epidemiology -- mortality ,Article ,chronic kidney disease ,mortality ,Internal medicine ,Environmental health ,Diabetes mellitus ,medicine ,factores de riesgo ,Risk factor ,education ,business.industry ,medicine.disease ,Relative risk ,Cardiovascular Diseases/complications ,Cardiovascular Diseases/epidemiology ,Cardiovascular Diseases/mortality ,Diabetes Complications/epidemiology ,Diabetes Complications/mortality ,Metabolic Syndrome X/complications ,Metabolic Syndrome X/epidemiology ,Metabolic Syndrome X/mortality ,Renal Insufficiency, Chronic/complications ,Renal Insufficiency, Chronic/epidemiology ,Renal Insufficiency, Chronic/mortality ,business ,Kidney disease - Abstract
High blood pressure, blood glucose, serum cholesterol, and BMI are risk factors for cardiovascular diseases and some of these factors also increase the risk of chronic kidney disease and diabetes. We estimated mortality from cardiovascular diseases, chronic kidney disease, and diabetes that was attributable to these four cardiometabolic risk factors for all countries and regions from 1980 to 2010., 0, info:eu-repo/semantics/published
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- 2014
25. Two Italian kindreds carrying the Arg136--Ser mutation of the Apo E gene: development of premature and severe atherosclerosis in the presence of epsilon 2 as second allele
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Livia Pisciotta, Giovanni Emmanuele, V. Guido, M. Rolleri, Alberto Notarbartolo, S. Travali, Maurizio Averna, Carlo M. Barbagallo, Davide Noto, Stefano Bertolini, B. Fiore, Angelo B. Cefalù, Nicoletta Vivona, Rolleri, M., Vivona, N., Emmanuele, G., Cefalù, A., Pisciotta, L., Guido, V., Noto, D., Fiore, B., Barbagallo, C., Notarbartolo, A., Travali, S., Bertolini, S., and Averna, M.
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Apolipoprotein E ,Proband ,Male ,Settore MED/09 - Medicina Interna ,Genotype ,Apolipoprotein E2 ,Arteriosclerosis ,Endocrinology, Diabetes and Metabolism ,Medicine (miscellaneous) ,Sequence Homology ,Biology ,Arteriosclerosi ,Polymerase Chain Reaction ,Coronary artery disease ,Apolipoproteins E ,Hyperlipoproteinemia Type III ,medicine ,Haplotype ,Humans ,Allele ,Genotyping ,Alleles ,Genetics ,Nutrition and Dietetics ,Base Sequence ,Lipid ,Middle Aged ,medicine.disease ,Lipids ,Pedigree ,Settore MED/03 - Genetica Medica ,Haplotypes ,Mutation ,Female ,Cardiology and Cardiovascular Medicine ,Human - Abstract
Background and Aims: Type III hyperlipoproteinemia, or dysbetalipoproteinemia, is commonly associated with apolipoprotein E2 homozygosity (Cy Background and Aims: 12, Cy Background and Aims: 58). Apo E2-Christchurch (Arg136→Ser), a rare mutation of the Apo E gene, located in the receptor-binding domain of the protein, has been found to be associated in the vast majority of cases of dysbetalipoproteinemia. Methods and Results: This is the first report of two Italian kindreds carrying the Arg136→Ser mutation. One family is a four-generation kindred from Genoa (Liguria, Italy) with a high rate of mortality due to coronary artery disease: the proband was a 51-year-old woman with previous myocardial infarction and residual angina, severe carotid atherosclerosis, peripheral arterial vascular disease and arterial hypertension. The other family was identified in Palermo (Sicily, Italy): the proband was an overweight 62-year-old man with a mixed form of hyperlipidemia. The mutation, which was identified by means of Apo E genotyping followed by direct sequencing, co-segregated with the same haplotype in the two families. Conclusions: The family histories and clinical examinations of these subjects clearly show that the Apo E Arg136→Ser variant fully expresses a type III phenotype in association with a second allele coding for Apo E2, and only partially in association with a second allele coding for Apo E4.
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- 2003
26. No association between Glu298Asp endothelial nitric oxide synthase polymorphism and Italian sporadic Alzheimer's disease
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Carmela Maria Buglino, Maurizio Averna, Lawrence Camarda, Rosolino Camarda, Salvatore Travali, Gianluca Lopez, Angelo B. Cefalù, Marina Mannino, Carlo M. Barbagallo, Roberto Monastero, Cecilia Camarda, Monastero, R., Cefalù, A., Camarda, C., Buglino, C., Mannino, M., Barbagallo, C., Lopez, G., Camarda, L., Travali, S., Camarda, R., and Averna, M.
- Subjects
Apolipoprotein E ,Male ,medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,Apolipoprotein B ,Nitric Oxide Synthase Type III ,Population ,Dipeptide ,Polymorphism (computer science) ,Alzheimer Disease ,Internal medicine ,medicine ,Humans ,Allele ,education ,Aged ,Aged, 80 and over ,education.field_of_study ,Chi-Square Distribution ,Polymorphism, Genetic ,biology ,General Neuroscience ,Case-control study ,Dipeptides ,Middle Aged ,medicine.disease ,Genotype frequency ,Endocrinology ,Italy ,Case-Control Studies ,Immunology ,biology.protein ,Settore MED/26 - Neurologia ,Female ,Alzheimer's disease ,Nitric Oxide Synthase ,Case-Control Studie ,Human - Abstract
A great amount of evidence suggests that neuroinflammation may be a major pathogenetic mechanism in the pathophysiology of sporadic Alzheimer's Disease (sAD). Recently, polymorphisms in the endothelial nitric oxide synthase (NOS3) gene have been associated to late onset Alzheimer's Disease in a British population. However, other groups failed to replicate this finding in Asiatic and Caucasian populations. We conducted a case-control study including a clinically well-defined group of 149 sAD patients and 149 age and sex matched controls to test the association between NOS3 Glu298Asp polymorphism and sAD in an ethnically homogenous Italian population. All subjects were genotyped at NOS3 and apolipoprotein E. No significant difference was found in either allele or genotype frequencies between cases and controls, even after stratification for Apolipoprotein E4 carrier status. The NOS3 Glu298Asp polymorphism does not appear to influence the risk of developing sAD in an Italian population.
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- 2003
27. The C(-260)T gene polymorphism in the promoter of the CD14 monocyte receptor gene is not associated with acute myocardial infarction
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B. Fiore, M. T. Longobardo, Angelo B. Cefalù, Maurizio Averna, Davide Noto, V. Molini, Alberto Notarbartolo, Franca Maria Pezzino, S. Travali, Giovanni Emmanuele, Antonio Castello, Carlo M. Barbagallo, Roberto Monastero, Longobardo, M., Cefalù, A., Pezzino, F., Noto, D., Emmanuele, G., Barbagallo, C., Fiore, B., Monastero, R., Castello, A., Molini, V., Notarbartolo, A., Travali, S., and Averna, M.
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Male ,Settore MED/09 - Medicina Interna ,Genotype ,CD14 ,Clinical Biochemistry ,Lipopolysaccharide Receptors ,Myocardial Infarction ,Antigens, CD14 ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,Cytosine ,Gene Frequency ,Reference Values ,Risk Factors ,medicine ,Humans ,Reference Value ,Polymorphism ,Allele ,Receptor ,Promoter Regions, Genetic ,Biochemistry, Genetics and Molecular Biology (all) ,business.industry ,Risk Factor ,Medicine (all) ,Monocyte ,Smoking ,Case-control study ,General Medicine ,Middle Aged ,Molecular biology ,Survival Analysis ,Genotype frequency ,medicine.anatomical_structure ,Immunology ,Settore MED/26 - Neurologia ,Female ,Survival Analysi ,Gene polymorphism ,Cell activation ,business ,Thymine ,Human - Abstract
CD surface molecules mediates cell activation and signaling. In particular, CD14 on blood monocytes mediate monocyte/macrophage activation by lipopolysaccharide. Lipopolysaccharide and its receptor, CD14, have been implicated in atherogenesis. It has been recently shown that a C(-260)T polymorphism in the promoter of the CD14 receptor may be a risk factor for coronary artery disease. Recently this association has been questioned because no increased risk was found with the T allele, even in the homozygous state. In the present study we investigated a possible association between the C(-260)T polymorphism in the CD14 promoter and acute myocardial infarction. Two hundred and thrteen patients with and acute myocardial infarction 213 healthy controls were included in the study. Genotype frequencies of the C(-260)T polymorphism in the CD14 promoter were determined by polimerase chain reaction and the amplified product was cleaved with HaeIII. The frequency of the T allele was not significantly different in patients compared with controls. In this study we were not able to detect differences of frequency of the allele T (-260) in the promoter of the CD 14 receptor gene in survivors of myocardial infarction and controls.
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- 2003
28. Esiste un pattern ecografico associato alla steatosi capace di facilitare il suo riconoscimento etiologico?
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SORESI, Maurizio, DI GIOVANNI, Gaetana, Terranova, Antonino, BRAZIOTIS, Stylianos, BARBAGALLO, Carlo Maria, CARROCCIO, Antonio, MONTALTO, Giuseppe, Pirrone, A., Riili, A., Giambra, M., Soresi, M., Pirrone, A., Riili, A., DI GIOVANNI, G., Terranova, A., Braziotis, S., Giambra, M., Barbagallo, C., Carroccio, A., and Montalto, G.
- Subjects
Settore MED/09 - Medicina Interna ,Ecografia ,etiologia ,steatosi epatica - Published
- 2003
29. Italian familial defective apolipoprotein B patients share a unique haplotype with other Caucasian patients
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S. Travali, E. Sesti, Alberto Notarbartolo, Maurizio Averna, M. Rolleri, Stefano Bertolini, F. Polizzi, Davide Noto, Alberto Corsini, Rosalia Caldarella, G. Marino, Carlo M. Barbagallo, G. Scalisi, Angelo B. Cefalù, Cefalù, A., Barbagallo, C., Sesti, E., Caldarella, R., Polizzi, F., Marino, G., Noto, D., Rolleri, M., Travali, S., Scalisi, G., Notarbartolo, A., Corsini, A., Bertolini, S., and Averna, M.
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Proband ,China ,Settore MED/09 - Medicina Interna ,Apolipoprotein B ,Glutamine ,European Continental Ancestry Group ,Hypercholesterolemia ,Familial hypercholesterolemia ,medicine.disease_cause ,Arginine ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,White People ,Haplotype ,medicine ,Humans ,Cysteine ,Allele ,Codon ,Gene ,Apolipoproteins B ,Genetics ,Mutation ,biology ,Transition (genetics) ,General Medicine ,medicine.disease ,Europe ,Settore MED/03 - Genetica Medica ,Amino Acid Substitution ,Haplotypes ,Italy ,Apolipoprotein B-100 ,biology.protein ,lipids (amino acids, peptides, and proteins) ,Human - Abstract
Familial defective apolipoprotein (apo) B-100 together with familial hypercholesterolemia are the two common genetic conditions that cause hypercholesterolemia. Familial defective apolipoprotein B-100 is due to mutations around codon 3500 of the apo B gene. The most-characterized mutation is a G>A transition at nucleotide 10,708 that results in the substitution of arginine by glutamine at codon 3500 (Apo B Arg3500Gln). Two other mutations are caused by a C>T transition, one at nucleotide 10,800 (Apo B Arg3531Cys) and the other at nucleotide 10,707 (apo B Arg3500Trp). In the present study we describe three new Italian cases of familial defective apolipoprotein B-100 (Apo B Arg3500Gln), one from the Liguria region and two from Sicily, and the haplotype of the apo B gene co-segregating with the mutation. By screening two groups of probands, clinically diagnosed as having Familial Hypercholesterolemia (700 from mainland Italy and 305 from Sicily), the prevalence of familial defective apolipoprotein B-100 due to Arg3500Gln was found to be very low (0.28% and 0.65%, respectively). The Arg3531Cys mutation was not detected in any proband. In the three new families with Arg3500Gln mutation in the present study and in one previously described in Italy, the mutation was associated with a unique apo B haplotype, which is consistent with data previously reported for Caucasian patients [XbaI-, MspI+, EcoRI-, presence of the 5' signal peptide insertion (Ins) allele, and the 49-repeat allele of the 3'-VNTR].
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- 2002
30. Leukocyte count, diabetes mellitus and age are strong predictors of stroke in a rural population in southern Italy: an 8-year follow-up
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Carlo M. Barbagallo, Maurizio Averna, Gregorio Caimi, Davide Noto, G. Marino, Angelo B. Cefalù, Alberto Notarbartolo, Rosalia Caldarella, G. Cavera, Lucio Lo Coco, Noto, D, Barbagallo, C, Cavera, G., Cefalu', AB, Caimi, G, Marino, G, Lo Coco, L, Caldarella, R, Notarbartolo, A, and Averna, M
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Adult ,Male ,Rural Population ,medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,Epidemiology ,Population ,Ethnic group ,Diabetes Complications ,Leukocyte Count ,Predictive Value of Tests ,Diabetes mellitus ,medicine ,Humans ,Risk factor ,education ,Stroke ,education.field_of_study ,business.industry ,Public health ,Age Factors ,Leukocyte ,Middle Aged ,Cerebrovascular disorder ,medicine.disease ,Surgery ,Italy ,Female ,Rural area ,Cardiology and Cardiovascular Medicine ,business ,Demography ,Follow-Up Studies - Abstract
Stroke incidence rates in the Mediterranean area are higher compared to northern European countries. In this study, we present the 8-year prospective data from a small rural Sicilian town. This population, consisting of 1351 subjects (622 males and 729 females), is homogeneous for ethnic background with traditional healthy dietary habits and shows low cholesterol mean levels. We found that the risk of stroke was significantly associated with the record of at least one previous neurological symptom (PNS), such as lack of strength, loss of vision or speech or possible drop attacks, and high hematocrit in males, and to high body mass index (BMI) and waist-hip ratio (WHR), diabetes, hypertension, high leukocyte count in females. We also documented age-related differences: stroke was associated in younger subjects (age < 65 years) with diabetes, high BMI, high uric acid levels and in older patients (age ≥ 65 years) with high WHR, hypertension, diabetes, PNS, leukocyte count and hematocrit above the 95th percentile. Multivariate analysis demonstrated an independent association between stroke and age, diabetes, leukocyte count, hypertension and PNS. In conclusion, in this rural Sicilian population, the incidence rate of stroke is 1.72 cases per 1000/year in the subjects between 40 and 75 years of age. The risk factors associated with stroke are different in younger and older subjects. Leukocyte count, as an expression of an undergoing inflammatory process, may have a relevant role at least in the elderly. © 2001 Elsevier Science Ireland Ltd.
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- 2001
31. Determinants of enhanced thromboxane biosynthesis in renal transplantation
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Notarbartolo A, Maurizio Averna, Giovanni Davì, Carlo M. Barbagallo, Angelo B. Cefalù, Carlo Giammarresi, Vito Sparacino, Stefania Basili, Flavia Caputo, A. Ganci, Averna, M., Barbagallo, C., Ganci, A., Giammarresi, C., Cefalù, A., Sparacino, V., Caputo, F., Basili, S., Notarbartolo, A., and Davì, G.
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Male ,Settore MED/09 - Medicina Interna ,Thromboxane ,graft survival ,von Willebrand factor ,Immunosuppressive Agent ,Thromboxane A2 ,chemistry.chemical_compound ,Reference Values ,Renal Dialysi ,cardiovascular disease ,Reference Value ,Platelet ,Postoperative Period ,Kidney transplantation ,Kidney ,immunosuppression ,nephrotoxicity ,Thromboxanes ,Middle Aged ,Cholesterol ,medicine.anatomical_structure ,Nephrology ,Cyclosporine ,Female ,Cardiovascular disease ,Graft survival ,Immunosuppression ,Nephrotoxicity ,Von Willebrand factor ,Adult ,Antithrombin III ,Cardiovascular Diseases ,Follow-Up Studies ,Humans ,Immunosuppressive Agents ,Peptide Hydrolases ,Renal Dialysis ,von Willebrand Factor ,Kidney Transplantation ,Human ,circulatory and respiratory physiology ,medicine.medical_specialty ,Urology ,kidney transplantation ,Follow-Up Studie ,Endothelial activation ,medicine ,Platelet activation ,cardiovascular diseases ,von willebrand factor ,business.industry ,medicine.disease ,Transplantation ,Peptide Hydrolase ,chemistry ,Immunology ,business - Abstract
Determinants of enhanced thromboxane biosynthesis in renal transplantation.BackgroundDespite great improvement in patient and graft survival, the long-term morbidity and mortality in renal transplant recipients (RTRs) are still significant, with a high incidence of cardiovascular disease-related deaths.MethodsWe investigated thromboxane (TXA2) biosynthesis and endothelial and coagulative activation in 65 patients who received a renal transplant.ResultsThe rate of TXA2 biosynthesis (urinary 11-dehydro-TXB2 excretion largely reflects platelet TXA2 production in vivo) was significantly (P < 0.0001) higher in RTRs than in healthy subjects. Plasma von Willebrand factor (vWF) and thrombin-antithrombin (TAT) complexes were significantly higher (P < 0.001) in RTRs compared with controls. Urinary 11-dehydro-TXB2 directly correlated with plasma vWF and cholesterol. We next examined the relative influence of cyclosporine A (CsA) on TXA2 biosynthesis and endothelial activation, comparing a group of RTRs not receiving CsA with an age- and sex-matched group of patients treated with CsA. Urinary excretion of 11-dehydro-TXB2 and plasma levels of vWF were significantly increased in RTRs who received CsA compared with those who did not. After an overall follow-up of 120 months, RTRs who experienced cardiovascular events had a higher frequency of abnormal plasma levels of vWF than patients who remained event free.ConclusionRenal transplantation is associated with in vivo platelet activation highly related to endothelial activation. This is particularly evident in CsA-treated patients. Administration of drugs that are able to reduce or eliminate thromboxane-dependent platelet activation in vivo may be beneficial to reduce the risk of cardiovascular events in RTRs.
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32. Carotid atherosclerosis in hypercholesterolemic patients: Relationship with cardiovascular events
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Parrinello, Gaspare, Barbagallo, Carlo M., Antonio Pinto, Amato, P., Cecala, M., Noto, D., Cefalu, Angelo B., Scalisi, G., Notarbartolo, A., Maurizio Averna, Licata, G., Parrinello, G., Barbagallo, C., Pinto, A., Amato, P., Cecala, M., Noto, D., Cefalù, A., Scalisi, G., Notarbartolo, A., Averna, M., and Licata, G.
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Carotid Artery Diseases ,Male ,Nutrition and Dietetics ,Settore MED/09 - Medicina Interna ,Carotid Artery, Common ,Endocrinology, Diabetes and Metabolism ,Hypercholesterolemia ,Age Factors ,Medicine (miscellaneous) ,Middle Aged ,Cardiovascular disease ,Cholesterol ,Risk Factors ,Atherosclerosi ,Hypertension ,Ultrasound ,Prevalence ,Humans ,Female ,Cardiology and Cardiovascular Medicine ,Triglycerides ,Follow-Up Studies ,Ultrasonography ,Food Science - Abstract
Background and Aim: Extracranial cerebrovascular atherosclerosis is a common feature of hypercholesterolemia and carotid lesions are good predictors of cardiovascular events in the general population. Factors associated with the carotid damage of hypercholesterolemic patients and their relationships with the occurrence of clinical events are investigated in this study. Methods and Results: One hundred and seventeen cardiovascular event-free hypercholesterolemic subjects underwent a complete clinical examination to look for additional risk factors. A blood sample was collected for lipoprotein determination and an ultrasound high resolution B-mode imaging examination of the common carotid arteries was performed. Patients were treated according to the current guidelines during a 4-yr follow-up and all major cardiovascular events were recorded. The prevalence of subjects with increased intima-media thickness and plaque was 21.4% and 29.9% respectively, higher than in normolipidemic controls. Carotid lesions were significantly related to age, hypertension and LDL-cholesterol and HDL-cholesterol levels. The relative risk of developing a major clinical event was 3.92 (95% CI 1.54-9.95, p
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