15 results on '"Ntarladimas, I"'
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2. Poster session Thursday 12 December - AM: 12/12/2013, 08: 30–12: 30Location: Poster area
- Author
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Makavos, G, Kouris, N, Keramida, K, Dagre, A, Ntarladimas, I, Kostopoulos, V, Damaskos, D, and Olympios, CD
- Published
- 2013
3. Effects of wine, beer, and whisky on vascular endothelium and thrombosis fibrinolysis system
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Ntarladimas, I Tousoulis, DM Antoniades, CA Tentolouris, C and Tsioufis, C Brilli, S Panagiotakos, D Chrysochoou, C and Pitsavos, C Stefanadis, C
- Published
- 2004
4. Combined effects of smoking and hypercholesterolemia on inflammatory process, thrombosis/fibrinolysis system, and forearm hyperemic response
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Antoniades, C Tousoulis, D Vasiliadou, C Marinou, K and Tentolouris, C Ntarladimas, I Stefanadis, C
- Abstract
The combined effects of smoking and hypercholesterolemia on the inflammatory process, the thrombosis/fibrinolysis system, and forearm hyperemic response were investigated. It was shown that smokers with hypercholesterolemia (n = 25) had a reduced and delayed forearm hyperemic response compared with healthy smokers (n = 24), patients with hypercholesterolemia (n 26), and healthy controls (n = 75; p < 0.01 for all). This phenomenon was associated with a respective increase in the inflammatory process and changes in the thrombosis/fibrinolysis system. (C) 2004 by Excerpta Medica, Inc.
- Published
- 2004
5. Effects of atorvastatin and vitamin C on forearm hyperaemic blood flow, asymmentrical dimethylarginine levels and the inflammatory process in patients with type 2 diabetes mellitus
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Tousoulis, D., primary, Antoniades, C., additional, Vasiliadou, C., additional, Kourtellaris, P., additional, Koniari, K., additional, Marinou, K., additional, Charakida, M., additional, Ntarladimas, I., additional, Siasos, G., additional, and Stefanadis, C., additional
- Published
- 2005
- Full Text
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6. Effects of atorvastatin and vitamin C on forearm hyperaemic blood flow, asymmentrical dimethylarginine levels and the inflammatory process in patients with type 2 diabetes mellitus.
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Tousoulis D, Antoniades C, Vasiliadou C, Kourtellaris P, Koniari K, Marinou K, Charakida M, Ntarladimas I, Siasos G, and Stefanadis C
- Published
- 2007
7. Effects of lipid profile on forearm hyperemic response in young subjects
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Antoniades, C., Tousoulis, D., Marinou, K., Stefanadi, E., Ntarladimas, I., Latsios, G., Konniari, K., Papageorgiou, N., Gerasimos Siasos, and Stefanadis, C.
- Subjects
lipids (amino acids, peptides, and proteins) - Abstract
INTRODUCTION: The role of lipids in atherogenesis is now well established. However, the exact mechanisms by which different lipoproteins affect endothelial function and induce atherogenesis are still not well understood. In the present study we examined the effect of lipid profile on forearm vasodilatory response to reactive hyperemia, an index of endothelial function, in a cohort of young, low-risk adults. METHODS: One hundred sixty seven healthy subjects were included in the study. The effect of total cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), triglycerides, apolipoprotein (apo)-A1, apo-B and apo-E on endothelial function and inflammatory process was examined. Endothelial function was evaluated by determining forearm vasodilatory response to reactive hyperemia (RH%) using gauge-strain plethysmography. RH% was defined as the % change of forearm blood flow from baseline to the maximum flow during post-ischemic hyperemia. Endothelium independent dilatation in response to nitroglycerin (NTG%) was defined as the % change of forearm blood flow from baseline to the maximum flow after sublingual nitroglycerin administration. RESULTS: RH% was correlated with HDL (r = 0.267, p = 0.001), LDL (r = 0.355, p = 0.0001), triglycerides (rho = -0.366, p = 0.0001), apo-Al (r = 0.240, p = 0.004) and apo-B (r = -0.277, p = 0.005). NTG% was not affected by serum lipid levels. In multivariate linear regression, LDL (beta = -0.217 [SE: 0.098], p = 0.028), apo-A1 (beta = 0.277 [SE: 0.124], p = 0.027) and age (beta = 0.916 [SE:0.369], p = 0.015) were independent predictors for RH% in this population (R2 for the model: 0.243, p = 0.0001). CONCLUSIONS: Elevated lipid levels decrease forearm vasodilatory response to reactive hyperemia. Apolipoproteins, and especially apo-Al, are important determinants of endothelial function in these subjects, independently of LDL, HDL and triglycerides, implying that full measurement of the lipid profile may be of great importance in risk stratification of young individuals.
8. Poster session Thursday 12 December - AM: 12/12/2013, 08:30-12:30 * Location: Poster area
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Abdovic, E, Abdovic, S, Hristova, K, Hristova, K, Katova, TZ, Katova, TZ, Gocheva, N, Gocheva, N, Pavlova, M, Pavlova, M, Gurzun, M M, Ionescu, A, Canpolat, U, Yorgun, H, Sunman, H, Sahiner, L, Kaya, EB, Ozer, N, Tokgozoglu, L, Kabakci, G, Aytemir, K, Oto, A, Gonella, A, Dascenzo, F, Casasso, F, Conte, E, Margaria, F, Grosso Marra, W, Frea, S, Morello, M, Bobbio, M, Gaita, F, Seo, HY, Lee, SP, Lee, JM, Yoon, YE, Park, E, Kim, HK, Park, SJ, Lee, H, Kim, YJ, Sohn, DW, Nemes, A, Domsik, P, Kalapos, A, Orosz, A, Lengyel, C, Forster, T, Enache, R, Muraru, D, Popescu, BA, Calin, A, Nastase, O, Botezatu, D, Purcarea, F, Rosca, M, Beladan, CC, Ginghina, C, Canpolat, U, Aytemir, K, Ozer, N, Yorgun, H, Sahiner, L, Kaya, EB, Oto, A, Trial, Turkish Atrial Fibrosis, Muraru, D, Piasentini, E, Mihaila, S, Padayattil Jose, S, Peluso, D, Ucci, L, Naso, P, Puma, L, Iliceto, S, Badano, LP, Cikes, M, Jakus, N, Sutherland, GR, Haemers, P, Dhooge, J, Claus, P, Yurdakul, S, Oner, FATMA, Direskeneli, HANER, Sahin, TAYLAN, Cengiz, BETUL, Ercan, G, Bozkurt, AYSEN, Aytekin, SAIDE, Osa Saez, A M, Rodriguez-Serrano, M, Lopez-Vilella, R, Buendia-Fuentes, F, Domingo-Valero, D, Quesada-Carmona, A, Miro-Palau, VE, Arnau-Vives, MA, Palencia-Perez, M, Rueda-Soriano, J, Lipczynska, M, Piotr Szymanski, PS, Anna Klisiewicz, AK, Lukasz Mazurkiewicz, LM, Piotr Hoffman, PH, Kim, KH, Cho, SK, Ahn, Y, Jeong, MH, Cho, JG, Park, JC, Chinali, M, Franceschini, A, Matteucci, MC, Doyon, A, Esposito, C, Del Pasqua, A, Rinelli, G, Schaefer, F, group, the 4C study, Kowalik, E, Klisiewicz, A, Rybicka, J, Szymanski, P, Biernacka, EK, Hoffman, P, Lee, S, Kim, W, Yun, H, Jung, L, Kim, E, Ko, J, Ruddox, V, Norum, IB, Edvardsen, T, Baekkevar, M, Otterstad, JE, Erdei, T, Edwards, J, Braim, D, Yousef, Z, Fraser, AG, Cardiff, Investigators, MEDIA, Melcher, A, Reiner, B, Hansen, A, Strandberg, LE, Caidahl, K, Wellnhofer, E, Kriatselis, C, Gerd-Li, H, Furundzija, V, Thnabalasingam, U, Fleck, E, Graefe, M, Park, YJ, Moon, JG, Ahn, TH, Baydar, O, Kadriye Kilickesmez, KK, Ugur Coskun, UC, Polat Canbolat, PC, Veysel Oktay, VO, Umit Yasar Sinan, US, Okay Abaci, OA, Cuneyt Kocas, CK, Sinan Uner, SU, Serdar Kucukoglu, SK, Ferferieva, V, Claus, P, Rademakers, F, Dhooge, J, Le, T T, Wong, P, Tee, N, Huang, F, Tan, RS, Altman, M, Logeart, D, Bergerot, C, Gellen, B, Pare, C, Gerard, S, Sirol, M, Vicaut, E, Mercadier, JJ, Derumeaux, G A, investigators, PREGICA, Park, T-H, Park, J-I, Shin, S-W, Yun, S-H, Lee, J-E, Makavos, G, Kouris, N, Keramida, K, Dagre, A, Ntarladimas, I, Kostopoulos, V, Damaskos, D, Olympios, CD, Leong, DP, Piers, SRD, Hoogslag, GE, Hoke, U, Thijssen, J, Ajmone Marsan, N, Schalij, MJ, Bax, JJ, Zeppenfeld, K, Delgado, V, Rio, P, Branco, L, Galrinho, A, Cacela, D, Abreu, J, Timoteo, A, Teixeira, P, Pereira-Da-Silva, T, Selas, M, Cruz Ferreira, R, Popa, B A, Zamfir, L, Novelli, E, Lanzillo, G, Karazanishvili, L, Musica, G, Stelian, E, Benea, D, Diena, M, Cerin, G, Fusini, L, Mirea, O, Tamborini, G, Muratori, M, Gripari, P, Ghulam Ali, S, Cefalu, C, Maffessanti, F, Andreini, D, Pepi, M, Mamdoo, F, Goncalves, A, Peters, F, Matioda, H, Govender, S, Dos Santos, C, Essop, MR, Kuznetsov, V A, Yaroslavskaya, E I, Pushkarev, G S, Krinochkin, D V, Kolunin, G V, Bennadji, A, Hascoet, S, Dulac, Y, Hadeed, K, Peyre, M, Ricco, L, Clement, L, Acar, P, Ding, WH, Zhao, Y, Lindqvist, P, Nilson, J, Winter, R, Holmgren, A, Ruck, A, Henein, MY, Illatopa, V, Cordova, F, Espinoza, D, Ortega, J, Cavalcante, JL, Patel, MT, Katz, W, Schindler, J, Crock, F, Khanna, MK, Khandhar, S, Tsuruta, H, Kohsaka, S, Murata, M, Yasuda, R, Tokuda, H, Kawamura, A, Maekawa, Y, Hayashida, K, Fukuda, K, Le Tourneau, T, Kyndt, F, Lecointe, S, Duval, D, Rimbert, A, Merot, J, Trochu, JN, Probst, V, Le Marec, H, Schott, JJ, Veronesi, F, Addetia, K, Corsi, C, Lamberti, C, Lang, RM, Mor-Avi, V, Gjerdalen, G F, Hisdal, J, Solberg, EE, Andersen, TE, Radunovic, Z, Steine, K, Maffessanti, F, Gripari, P, Tamborini, G, Muratori, M, Fusini, L, Ferrari, C, Caiani, EG, Alamanni, F, Bartorelli, AL, Pepi, M, Dascenzi, F, Cameli, M, Iadanza, A, Lisi, M, Reccia, R, Curci, V, Sinicropi, G, Henein, M, Pierli, C, Mondillo, S, Rekhraj, S, Hoole, SP, Mcnab, DC, Densem, CG, Boyd, J, Parker, K, Shapiro, LM, Rana, BS, Kotrc, M, Vandendriessche, T, Bartunek, J, Claeys, MJ, Vanderheyden, M, Paelinck, B, De Bock, D, De Maeyer, C, Vrints, C, Penicka, M, Silveira, C, Albuquerque, ESA, Lamprea, DL, Larangeiras, VL, Moreira, CRPM, Victor Filho, MVF, Alencar, BMA, Silveira, AQMS, Castillo, JMDC, Zambon, E, Iorio, A, Carriere, C, Pantano, A, Barbati, G, Bobbo, M, Abate, E, Pinamonti, B, Di Lenarda, A, Sinagra, G, Salemi, V M C, Tavares, L, Ferreira Filho, JCA, Oliveira, AM, Pessoa, FG, Ramires, F, Fernandes, F, Mady, C, Cavarretta, E, Lotrionte, M, Abbate, A, Mezzaroma, E, De Marco, E, Peruzzi, M, Loperfido, F, Biondi-Zoccai, G, Frati, G, Palazzoni, G, Park, T-H, Lee, J-E, Lee, D-H, Park, J-S, Park, K, Kim, M-H, Kim, Y-D, Van T Sant, J, Gathier, WA, Leenders, GE, Meine, M, Doevendans, PA, Cramer, MJ, Poyhonen, P, Kivisto, S, Holmstrom, M, Hanninen, H, Schnell, F, Betancur, J, Daudin, M, Simon, A, Carre, F, Tavard, F, Hernandez, A, Garreau, M, Donal, E, Calore, C, Muraru, D, Badano, LP, Melacini, P, Mihaila, S, Denas, G, Naso, P, Casablanca, S, Santi, F, Iliceto, S, Aggeli, C, Venieri, E, Felekos, I, Anastasakis, A, Ritsatos, K, Kakiouzi, V, Kastellanos, S, Cutajar, I, Stefanadis, C, Palecek, T, Honzikova, J, Poupetova, H, Vlaskova, H, Kuchynka, P, Linhart, A, Elmasry, O, Mohamed, MH, Elguindy, WM, Bishara, PNI, Garcia-Gonzalez, P, Cozar-Santiago, P, Bochard-Villanueva, B, Fabregat-Andres, O, Cubillos-Arango, A, Valle-Munoz, A, Ferrer-Rebolleda, J, Paya-Serrano, R, Estornell-Erill, J, Ridocci-Soriano, F, Jensen, M, Havndrup, O, Christiansen, M, Andersen, PS, Axelsson, A, Kober, L, Bundgaard, H, Karapinar, H, Kaya, A, Uysal, EB, Guven, AS, Kucukdurmaz, Z, Oflaz, MB, Deveci, K, Sancakdar, E, Gul, I, Yilmaz, A, Tigen, M K, Karaahmet, T, Dundar, C, Yalcinsoy, M, Tasar, O, Bulut, M, Takir, M, Akkaya, E, Jedrzejewska, I, Braksator, W, Krol, W, Swiatowiec, A, Dluzniewski, M, Lipari, P, Bonapace, S, Zenari, L, Valbusa, F, Rossi, A, Lanzoni, L, Molon, G, Canali, G, Campopiano, E, Barbieri, E, Rueda Calle, E, Alfaro Rubio, F, Gomez Gonzalez, J, Gonzalez Santos, P, Cameli, M, Lisi, M, Focardi, M, Dascenzi, F, Solari, M, Galderisi, M, Mondillo, S, Pratali, L, Bruno, R M, Corciu, AI, Comassi, M, Passera, M, Gastaldelli, A, Mrakic-Sposta, S, Vezzoli, A, Picano, E, Perry, R, Penhall, A, De Pasquale, C, Selvanayagam, J, Joseph, M, Simova, I I, Katova, T M, Kostova, V, Hristova, K, Lalov, I, Dascenzi, F, Pelliccia, A, Natali, BM, Cameli, M, Alvino, F, Zorzi, A, Corrado, D, Bonifazi, M, Mondillo, S, Rees, E, Rakebrandt, F, Rees, DA, Halcox, JP, Fraser, AG, Odriscoll, J, Lau, N, Perez-Lopez, M, Sharma, R, Lichodziejewska, B, Goliszek, S, Kurnicka, K, Kostrubiec, M, Dzikowska Diduch, O, Krupa, M, Grudzka, K, Ciurzynski, M, Palczewski, P, Pruszczyk, P, Gheorghe, LL, Castillo Ortiz, J, Del Pozo Contreras, R, Calle Perez, G, Sancho Jaldon, M, Cabeza Lainez, P, Vazquez Garcia, R, Fernandez Garcia, P, Chueca Gonzalez, E, Arana Granados, R, Zhao, XX, Xu, XD, Bai, Y, Qin, YW, Leren, IS, Hasselberg, NE, Saberniak, J, Leren, TP, Edvardsen, T, Haugaa, KH, Daraban, A M, Sutherland, GR, Claus, P, Werner, B, Gewillig, M, Voigt, JU, Santoro, A, Ierano, P, De Stefano, F, Esposito, R, De Palma, D, Ippolito, R, Tufano, A, Galderisi, M, Costa, R, Fischer, C, Rodrigues, A, Monaco, C, Lira Filho, E, Vieira, M, Cordovil, A, Oliveira, E, Mohry, S, Gaudron, P, Niemann, M, Herrmann, S, Strotmann, J, Beer, M, Hu, K, Bijnens, B, Ertl, G, Weidemann, F, Baktir, AO, Sarli, B, Cicek, M, Karakas, MS, Saglam, H, Arinc, H, Akil, MA, Kaya, H, Ertas, F, Bilik, MZ, Yildiz, A, Oylumlu, M, Acet, H, Aydin, M, Yuksel, M, Alan, S, Odriscoll, J, Gravina, A, Di Fino, S, Thompson, M, Karthigelasingham, A, Ray, K, Sharma, R, De Chiara, B, Russo, CF, Alloni, M, Belli, O, Spano, F, Botta, L, Palmieri, B, Martinelli, L, Giannattasio, C, Moreo, A, Mateescu, AD, La Carrubba, S, Vriz, O, Di Bello, V, Carerj, S, Zito, C, Ginghina, C, Popescu, BA, Nicolosi, GL, Antonini-Canterin, F, Malev, E, Omelchenko, M, Vasina, L, Luneva, E, Zemtsovsky, E, Cikes, M, Velagic, V, Gasparovic, H, Kopjar, T, Colak, Z, Hlupic, LJ, Biocina, B, Milicic, D, Tomaszewski, A, Kutarski, A, Poterala, M, Tomaszewski, M, Brzozowski, W, Kijima, Y, Akagi, T, Nakagawa, K, Ikeda, M, Watanabe, N, Ueoka, A, Takaya, Y, Oe, H, Toh, N, Ito, H, Bochard Villanueva, B, Paya-Serrano, R, Fabregat-Andres, O, Garcia-Gonzalez, P, Perez-Bosca, JL, Cubillos-Arango, A, Chacon-Hernandez, N, Higueras-Ortega, L, De La Espriella-Juan, R, Ridocci-Soriano, F, Noack, T, Mukherjee, C, Ionasec, RI, Voigt, I, Kiefer, P, Hoebartner, M, Misfeld, M, Mohr, F-W, Seeburger, J, Daraban, A M, Baltussen, L, Amzulescu, MS, Bogaert, J, Jassens, S, Voigt, JU, Duchateau, N, Giraldeau, G, Gabrielli, L, Penela, D, Evertz, R, Mont, L, Brugada, J, Berruezo, A, Bijnens, BH, Sitges, M, Yoshikawa, H, Suzuki, M, Hashimoto, G, Kusunose, Y, Otsuka, T, Nakamura, M, Sugi, K, Ruiz Ortiz, M, Mesa, D, Romo, E, Delgado, M, Seoane, T, Martin, M, Carrasco, F, Lopez Granados, A, Arizon, JM, Suarez De Lezo, J, Magalhaes, A, Cortez-Dias, N, Silva, D, Menezes, M, Saraiva, M, Santos, L, Costa, A, Costa, L, Nunes Diogo, A, Fiuza, M, Ren, B, De Groot-De Laat, LE, Mcghie, J, Vletter, WB, Geleijnse, ML, Toda, H, Oe, H, Osawa, K, Miyoshi, T, Ugawa, S, Toh, N, Nakamura, K, Kohno, K, Morita, H, Ito, H, El Ghannudi, S, Germain, P, Samet, H, Jeung, M, Roy, C, Gangi, A, Orii, M, Hirata, K, Yamano, T, Tanimoto, T, Ino, Y, Yamaguchi, T, Kubo, T, Imanishi, T, Akasaka, T, Sunbul, M, Kivrak, T, Oguz, M, Ozguven, S, Gungor, S, Dede, F, Turoglu, HT, Yildizeli, B, Mutlu, B, Mihaila, S, Muraru, D, Piasentini, E, Peluso, D, Cucchini, U, Casablanca, S, Naso, P, Iliceto, S, Vinereanu, D, Badano, LP, Rodriguez Munoz, DA, Moya Mur, JL, Becker Filho, D, Gonzalez, A, Casas Rojo, E, Garcia Martin, A, Recio Vazquez, M, Rincon, LM, Fernandez Golfin, C, Zamorano Gomez, JL, Ledakowicz-Polak, A, Polak, L, Zielinska, M, Kamiyama, T, Nakade, T, Nakamura, Y, Ando, T, Kirimura, M, Inoue, Y, Sasaki, O, Nishioka, T, Farouk, H, Sakr, B, Elchilali, K, Said, K, Sorour, K, Salah, H, Mahmoud, G, Casanova Rodriguez, C, Cano Carrizal, R, Iglesias Del Valle, D, Martin Penato Molina, A, Garcia Garcia, A, Prieto Moriche, E, Alvarez Rubio, J, De Juan Bagua, J, Tejero Romero, C, Plaza Perez, I, Korlou, P, Stefanidis, A, Mpikakis, N, Ikonomidis, I, Anastasiadis, S, Komninos, K, Nikoloudi, P, Margos, P, and Pentzeridis, P
- Abstract
Purpose: Atrial fibrillation (AF) is the most prevalent sustained arrhythmia. It is a disease of the elderly and it is common in patients (pts) with structural heart disease. Hypertension (HA), hypertensive heart disease (HHD), diabetes mellitus (DM), coronary artery disease (CAD), heart failure (HF), and valvular heart disease (VHD) are recognized predisposing factors to AF. Objectives: To echocardiographicly disclose the most common predisposing morbidities to AF in our population sample. Methods: From June 2000 to February 2013, 3755 consecutive pts with AF were studied during echocardiographic check-up. According to transthoracic echo, pts were divided in groups based on dominative underlying heart diseases. Electrocardiographically documented AF was subdivided in two groups: transitory and chronic. Transitory AF fulfilled criteria for paroxysmal or persistent AF. Chronic AF were cases of long-standing persistent or permanent AF. Results: The median age was 72 years, age range between 16 and 96 years. There were 51.4% of females. Chronic AF was observed in 68.3% pts. Distribution of underlying heart diseases is shown in figure. Lone AF was diagnosed in only 25 pts, mostly in younger males (median age 48 years, range 29–59, men 80%). Chronic AF was predominant in groups with advanced cardiac remodeling such as dilatative cardiomyopaty (DCM) and VHD, mostly in elderly. HA and DM were found in 75.4% and 18.8%, respectively. Almost 1/2 of pts with AF had HF and 59.2% had diastolic HF. Conclusion: Up to now, echocardiographic categorization of the predisposing factors to AF was not reported. Echocardiographic evaluation of patients with AF could facilitate in identification and well-timed treatment of predisposing comorbidites.
Figure Etiological distribution of AF - Published
- 2013
- Full Text
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9. Poster session Friday 13 December - AM: 13/12/2013, 08:30-12:30 * Location: Poster area
- Author
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Gertsen, M, Nemes, A, Szolnoky, G, Altmayer, A, Gavaller, H, Kemeny, L, Forster, T, Park, J R, Jo, SY, Kim, KH, Kho, JS, Kwack, CH, Hwang, JY, Popovic, D, Ostojic, MC, Petrovic, M, Vujisic-Tesic, B, Arandjelovic, A, Banovic, M, Vukcevic, V, Petrovic, I, Popovic, B, Damjanovic, S, Placido, R, Marta, L, Ramalho, AR, Nobre Menezes, M, Cortez-Dias, N, Martins, S, Goncalves, S, Almeida, AG, Silva-Marques, J, Nunes-Diogo, A, Germanakis, I, Kakouri, P, Karachaliou, M, Vassilaki, M, Chatzi, L, Roumeliotaki, T, Kogevinas, M, Horst, J-P, Kelter-Kloepping, A, Koerperich, H, Barth, P, Haas, NA, Kececioglu, D, Laser, KT, Laser, KT, Horst, J-P, Kelter-Kloepping, A, Barth, P, Haas, NA, Kececioglu, D, Koerperich, H, Samiei, N, Nabati, M, Azari-Jafari, M, Vakili-Zarch, A, Parsaee, M, Haghjoo, M, Ahmed, A J, Val-Mejias, J E, Von Bulow, F M, Baltussen, E J M, Darban, AM, Claus, P, Voigt, JU, Rodriguez Munoz, DA, Moya Mur, JL, Gonzalez, A, Garcia Martin, A, Becker Filho, D, Fernandez Santos, S, Lazaro Rivera, C, Recio Vazquez, M, Fernandez Golfin, C, Zamorano Gomez, JL, Bandera, F, Pellegrino, M, Generati, G, Alfonzetti, E, Donghi, V, Castelvecchio, S, Garatti, A, Menicanti, L, Guazzi, M, Kowalik, E, Klisiewicz, A, Hoffman, P, Kim, EJ, Cho, I J, Oh, J, Chang, HJ, Park, J, Shin, S, Shim, CY, Hong, GR, Ha, JW, Chung, N, Park, JH, Lee, HS, Kim, HS, Ahn, KT, Kim, JH, Lee, JH, Choi, SW, Jeong, JO, Seong, IW, Holzendorf, V, Gelbrich, G, Wachter, R, Loeffler, M, Pieske, BM, Broda, A, Edelmann, F, Failure, German Competence Network for Heart, Kim, YH, Kim, DH, Kim, SH, Ahn, JC, Song, WH, Hashimoto, G, Suzuki, M, Yoshikawa, H, Otsuka, T, Kusunose, Y, Nakamura, M, Sugi, K, De Knegt, M C, Biering-Sorensen, T, Sogaard, P, Sivertsen, J, Jensen, JS, Mogelvang, R, Murbraech, K, Smeland, KH, Holte, H, Loge, JH, Kiserud, CE, Aakhus, S, Peteiro, J, Gargallo-Fernandez, P, Garcia-Guimaraes, M, Bouzas-Mosquera, A, Yanez-Wronenburger, JC, Martinez-Ruiz, D, Castro-Beiras, A, Trzcinski, PT, Jaskowski, MJ, Nowak, JN, Pawlus, MP, Figiel, LF, Kasprzak, JDK, Lipiec, PL, Zhong, L, Su, Y, Teo, SK, Le, TT, Tan, RS, Tesic, M, Djordjevic-Dikic, A, Giga, V, Jovanovic, I, Paunovic, I, Petrovic, MT, Trifunovic, D, Beleslin, B, Stepanovic, J, Vujisic-Tesic, B, Parato, V M, Partemi, M, Nardini, E, Pasanisi, E, Park, T-H, Lee, J-E, Lee, D-H, Park, J-S, Park, K, Kim, M-H, Kim, Y-D, Vegsundvag, J, Holte, E, Wiseth, R, Hegbom, K, Hole, T, Fusini, L, Tamborini, G, Ghulam Ali, S, Muratori, M, Gripari, P, Cefalu, C, Maffessanti, F, Celeste, F, Alamanni, F, Pepi, M, Negrea, SL, Alexandrescu, C, Rossi, P, Iacuzio, L, Dreyfus, G, Moatemri, F, Mahdhaoui, A, Bouraoui, H, Ernez, S, Jeridi, G, Yuan, L, Feng, JL, Jin, X Y, Seoane Garcia, T, Delgado Ortega, M, Mesa Rubio, D, Ruiz Ortiz, M, Martin Hidalgo, M, Carrasco Avalos, F, Casares Mediavilla, J, Alados, P, Lopez Granados, A, Suarez De Lezo Cruz Conde, J, Mutuberria Urdaniz, M, Rodriguez-Palomares, JF, Baneras-Rius, JF, Acosta-Velez, JG, Buera-Surribas, I, Gonzalez-Alujas, MT, Teixido, G, Evangelista, A, Tornos, P, Garcia-Dorado, D, Iliuta, L, Boerlage-Van Dijk, K, Van Riel, ACMJ, De Bruin-Bon, HACM, Wiegerinck, EMA, Koch, KT, Vis, MM, Meregalli, PG, Piek, JJ, Bouma, BJ, Baan, J, Enache, R, Muraru, D, Piazza, R, Popescu, BA, Coman, M, Calin, A, Rosca, M, Beladan, CC, Nicolosi, GL, Ginghina, C, Song, JM, Kim, JJ, Ha, TY, Jung, SH, Hwang, IS, Lee, IC, Sun, BJ, Kim, DH, Kang, DH, Song, JK, Sturmberger, T, Ebner, CE, Aichinger, J, Tkalec, W, Niel, J, Steringer-Mascherbauer, R, Kabicher, G, Winter, S, Nesser, HJ, Hofmann-Bowman, M, Lin Yan, LY, Puri, TP, Chin, C W L, Doris, M, Shah, A, Mills, N, Semple, S, Prasad, S, White, A, Dweck, M, Newby, D, Debonnaire, P, Al Amri, I, Leong, DP, Joyce, E, Katsanos, S, Kamperidis, V, Schalij, MJ, Bax, JJ, Ajmone Marsan, N, Delgado, V, Cerin, G, Popa, B A, Lanzillo, G, Benea, D, Karazanishvili, L, Diena, M, Dedobbeleer, C, Schnell, F, Jotrand, E, El Mourad, M, Thebault, C, Plein, D, Donal, E, Unger, P, 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C, Crea, P, Cusma Piccione, M, Vriz, O, Bitto, A, Minisini, R, Madaffari, A, Acri, E, Oteri, A, Carerj, S, Leggio, S, Buccheri, S, Tamburino, C, Monte, I P, Mihalcea, D, Florescu, M, Enescu, OA, Magda, LS, Radu, E, Acasandrei, AM, Balanescu, P, Rimbas, RC, Jinga, D, Vinereanu, D, 112/2011, Research grant, Miyoshi, T, Tanaka, H, Kaneko, A, Matsumoto, K, Imanishi, J, Motoji, Y, Mochizuki, Y, Minami, H, Kawai, H, Hirata, K, Ryu, SK, Shin, DG, Son, JW, Choi, JH, Goh, CW, Choi, JW, Park, JY, Hong, GR, Le Page, P, Mitchell, ARJ, Maclachlan, HI, Hurry, RW, Villagraz Tecedor, L, Jimenez Lopez Guarch, C, Alonso Chaterina, S, Mayordomo Gomez, S, Blazquez Arrollo, L, Lombera Romero, F, Lopez Melgar, B, Escribano Subias, MP, Lichodziejewska, B, Kurnicka, K, Goliszek, S, Kostrubiec, M, Dzikowska Diduch, O, Krupa, M, Grudzka, K, Ciurzynski, M, Palczewski, P, Pruszczyk, P, Lovric, D, Carmona, C, Bergerot, C, Schnell, F, Thibault, H, Barthelet, M, Ninet, J, Revel, D, Croisille, P, Derumeaux, G, Jensen, MT, Rossing, P, Sogaard, P, Andersen, HU, Bech, J, Hansen, TF, Gustafsson, I, Galatius, S, Jensen, JS, Shang, Q, Zhang, Q, Sanderson, JE, Tam, LS, Lee, A PW, Fang, F, Li, E KM, Yu, CM, Bruin De- Bon, HACM, Tan, HL, Hardziyenka, M, Symersky, P, Bonta, PI, Brink Van Den, RBA, Bouma, BJ, Bader, RS, Punn, R, Silverman, N, Cruz, C, Pinho, T, Lebreiro, A, Dias, CC, Silva Cardoso, J, Julia Maciel, M, Melao, F, Ribeiro, V, Cruz, C, Maciel, MJ, Attenhofer Jost, C H, Schmidt, D, Pfyffer, M, Biaggi, P, Seifert, B, Weber, R, De Pasquale, G, Kretschmar, O, Seeliger, T, Greutmann, M, Johansson, M C, Mirzada, N, Ladenvall, P, Besiroglu, F, Samadov, F, Atas, H, Sari, I, Tufekcioglu, O, Birincioglu, CL, Acar, B, Duman, I, Colak, A, Zagatina, A, Krylova, L, Zhuravskaya, N, Vareldzhyan, Y, Tyurina, TV, Clitsenko, O, Castro, M, Dores, H, Carvalho, MS, Reis, C, Horta, E, Trabulo, MS, Andrade, MJ, Mendes, M, Gasior, Z, Plonska-Gosciniak, E, Wita, K, Mizia-Stec, K, Kulach, A, Szwed, H, Chrzanowski, L, Tomaszewski, A, Sinkiewicz, W, Wojciechowska, C, Aggeli, C, Felekos, I, Stergiou, P, Roussakis, G, Kakiouzi, V, Kastellanos, S, Koutagiar, I, Stefanadis, C, Bouzas Mosquera, A, Peteiro, J, Alvarez-Garcia, N, Broullon, FJ, Garcia-Guimaraes, MM, Martinez-Ruiz, D, Yanez-Wonenburger, JC, Bouzas-Zubeldia, B, Fabregas, R, Castro-Beiras, A, Brugger, N, Huerzeler, M, Wustmann, K, Wahl, A, Steck, H, Seiler, C, Sarwar, R, Malhotra, A, Wong, KC, Betts, TR, Bashir, Y, Rajappan, K, Newton, JD, Casanova Rodriguez, C, Cano Carrizal, R, Iglesias Del Valle, D, Martin Penato Molina, A, Garcia Garcia, A, Prieto Moriche, E, Alvarez Rubio, J, Paredes Gonzalez, B, De Juan Baguda, J, Plaza Perez, I, Van Den Oord, SCH, Akkus, Z, Roeters Van Lennep, JE, Bosch, JG, Van Der Steen, AFW, Sijbrands, EJG, Schinkel, AFL, Muraru, D, Calore, C, Badano, LP, Melacini, C, Mihaila, S, Peluso, D, Puma, L, Kocabay, G, Rizzon, G, Iliceto, S, Bochard Villanueva, B, Paya-Serrano, R, Garcia-Gonzalez, P, Fabregat-Andres, O, Perez-Bosca, JL, Cubillos-Arango, A, Ferrando-Beltran, M, Chacon-Hernandez, N, Albiach-Montanana, C, Ridocci-Soriano, F, Ancona, R, Comenale Pinto, S, Caso, P, Arenga, F, Coppola, MG, Calabro, R, Tarr, A, Stoebe, S, Pfeiffer, D, Hagendorff, A, Hollekim, SM, Bjorgaas, MR, Tjonna, AE, Wisloff, U, Ingul, CB, (CERG), Cardiac Exercise Research Group, Oreto, L, Zito, C, Cusma-Piccione, M, Calabro, MP, Todaro, MC, Vita, GL, Messina, S, Vita, G, Sframeli, M, Carerj, S, Remoli, R, Lamberti, F, Bellini, C, Mercurio, M, Dottori, S, Bellusci, F, Mazzuca, V, Gaspardone, A, Rimbas, RC, Enescu, OA, Mihaila, S, Ciobanu, A, Vinereanu, D, Henri, C, Magne, J, Dulgheru, R, Laaraibi, S, Voilliot, D, Kou, S, Pierard, L, Lancellotti, P, Wellnhofer, E, Kriatselis, C, Gerds-Li, H, Furundzija, VESNA, Thanabalasingam, U, Fleck, E, Graefe, M, Kouris, N, Keramida, K, Karidas, V, Kostopoulos, V, Kostakou, P, Mprempos, G, Olympios, CD, Duchateau, N, Giraldeau, G, Gabrielli, L, Penela, D, Evertz, R, Mont, L, Brugada, J, Berruezo, A, Bijnens, BH, Sitges, M, Bernard, A, Donal, E, Reynaud, A, Schnell, F, Daubert, JC, Leclercq, C, Hernandez, A, Keramida, K, Kouris, N, Kostopoulos, V, Karidas, V, Dagre, A, Ntarladimas, I, Damaskos, D, Stamatelatou, M, Olympios, CD, Panetta, G L, Peraldo Neja, C, Urbano Moral, JA, Evangelista, A, Azzolini, P, Gaudio, C, Pandian, NG, Barbier, P, Mirea, O, Savioli, G, Cefalu, C, Guglielmo, M, Fusini, L, Maltagliati, A, Hamdy, AM, Fereig, HM, Nabih, MA, Abdel-Aziz, A, Ali, AA, Buccheri, S, Mangiafico, S, Leggio, S, B, VE, Tropea, L, Tamburino, C, Monte, I P, Garcia-Gonzalez, P, Chacon-Hernandez, N, Cozar-Santiago, P, Fabregat-Andres, O, Sanchez-Jurado, R, Higueras-Ortega, L, Albiach-Motanana, C, Perez-Bosca, JL, Paya-Serrano, R, Ridocci-Soriano, F, Flori, M, Valette, F, Guijarro, D, Pallardy, A, Le Tourneau, T, Kraeber-Bodere, F, Piriou, N, Saxena, A, Ramakrishnan, S, Tulunay Kaya, C, Ongun, A, Kilickap, M, Candemir, B, Altin, AT, Gerede, M, Ozcan, OU, Erol, C, Yue, WS, Yang, F, Huang, D, Gu, P, Luo, Y, Lv, Z, Siu, CW, Tse, HF, Yiu, KH, Saura Espin, D, Lopez Cuenca, A, Espinosa Garcia, MD, Oliva Sandoval, MJ, Lopez Ruiz, M, Gonzalez Carrillo, J, Garcia Navarro, MJ, Valdes Chavarri, M, De La Morena Valenzuela, G, Gustafsson, U, Spuhler, JH, Hoffman, J, Brodin, LÅ, Kisko, A, Dernarova, L, Hudakova, A, Santova, T, Jakubikova, M, Mikulak, M, Horlenko, O, Kishko, N, Svystak, V, Shyp, A, Faden, G, Gaibazzi, N, Rigo, F, Mureddu, GF, Moreo, A, Bussadori, G, Facchetti, R, Cesana, F, Giannattasio, C, Faggiano, P, and group, APRES collaborative
- Abstract
Pulmonary vascular dysfunction is claimed to be a contributor to the development of pulmonary hypertension (PH). Impaired systemic vascular reactivity is one of the essential factors in the pathogenesis of cardiovascular disease. The aim of the investigation was to study whether there is any association between systemic vascular function and pulmonary artery pressure (PAP) in patients who have associated causes for PH development, such as coronary heart disease (CHD) and chronic obstructive pulmonary disease (COPD). Methods: The brachial artery vasodilator responses were measured by the ultrasound technique in twenty patients with mild to moderate COPD (group I) and twenty age–matched and COPD stage-matched patients who had past history of myocardial infarction (NYHA II) (group II).Conventional echocardiographic variables were measured in the said patients too. Results: Both flow-mediated dilatation (FMD) and nitrate-mediated dilatation (NMD) were significantly lower, and PAP was significantly higher in the group II patients compared to the same parameters of group I patients. NMD was inversely correlated with PAP (r=-0.7, p=0.02) in group I patients. There was no interrelation between FMD and PAP in patients from group I. Neither FMD nor NMD were correlated with PAP in group II patients. A significant positive correlation between PAP and left ventricular mass index (r=0.8, p=0.003) was revealed in the said patients as well. Conclusions: Attenuated vasodilator response of brachial artery to nitroglycerine is associated with PAP elevation in COPD patients. PH is closely related to cardiac remodeling in COPD patients in whom CHD developed. These data suggest different "stages" of vascular and cardiac remodeling in patients with COPD alone and in coexistence with CHD. The obtained data can be useful in the selection of treatment as regards these patient categories.
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- 2013
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10. Monocyte-platelets aggregates as cellular biomarker of endothelium-dependent coronary vasomotor dysfunction in patients with coronary artery disease
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Luigi Di Serafino, Emanuele Barbato, Jozef Bartunek, Karen Dierickx, Jaydeep Sarma, Stylianos A. Pyxaras, William Wijns, Bernard De Bruyne, Leen Delrue, Ioannis Ntarladimas, Di Serafino, L, Sarma, J, Dierickx, K, Ntarladimas, I, Pyxaras, Sa, Delrue, L, De Bruyne, B, Wijns, W, Barbato, Emanuele, and Bartunek, J.
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Blood Platelets ,Male ,medicine.medical_specialty ,Acute coronary syndrome ,Pharmaceutical Science ,Fractional flow reserve ,Coronary Angiography ,Severity of Illness Index ,Monocytes ,Coronary artery disease ,Platelet Adhesiveness ,Predictive Value of Tests ,Internal medicine ,Genetics ,medicine ,Humans ,Platelet ,Prospective Studies ,Registries ,Endothelial dysfunction ,Genetics (clinical) ,Whole blood ,Aged ,business.industry ,Monocyte ,Cardiac Pacing, Artificial ,Coronary Stenosis ,Middle Aged ,medicine.disease ,Coronary Vessels ,Up-Regulation ,Fractional Flow Reserve, Myocardial ,medicine.anatomical_structure ,Cardiology ,Molecular Medicine ,Biomarker (medicine) ,Female ,Endothelium, Vascular ,Cardiology and Cardiovascular Medicine ,business ,Biomarkers - Abstract
Monocyte–platelet aggregates (MPA) are increased in patients with acute coronary syndrome. We investigated whether MPA are associated with the presence of functionally significant coronary stenoses or with coronary arterial endothelial dysfunction. One hundred forty five patients undergoing elective coronary angiography were prospectively enrolled. Functional significance of coronary stenosis was assessed by fractional flow reserve (FFR). Thirty randomly selected patients underwent pacing protocol to evaluate Coronary endothelium-dependent vasomotor function (CVF). Whole blood was drawn to evaluate MPA. In patients with FFR ≤ 0.8 (FFRpos, n = 75), MPA did not significantly differ from FFR >0.8 patients (FFRneg, n = 70) (38.1 % [25.7–56.6] vs 34.0 % [20.5–49.9], p = 0.08). CVF was similar in FFRpos and FFRneg patients (percent vessel diameter change, %VDC = 7.19 % [6.01–10.9] vs 8.0 % [0.81–9.80], p = 0.78). Yet, patients with abnormal CVF showed higher MPA as compared to patients with preserved CVF (28.3 % [28.8–53.4] vs 20.5 % [17.0–32.9], p = 0.01). Moreover, MPA was inversely correlated with %VDC (R 2 = 0.26, p
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- 2013
11. Incidence, electrophysiological characteristics, and long-term follow-up of perimitral atrial flutter in patients with previously confirmed mitral isthmus block.
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Ioannidis P, Christoforatou E, Zografos T, Charalambopoulos P, Kouvelas K, Christoulas G, Syros P, Tsitsinakis G, Kappou T, Tsoumeleas A, Floros S, Tagoulis D, Ntarladimas I, Tagoulis I, Avzotis D, Manolis AS, and Vassilopoulos C
- Abstract
Introduction: After mitral isthmus (ΜΙ) catheter ablation, perimitral atrial flutter (PMF) circuits can be maintained due to the preservation of residual myocardial connections, even if conventional pacing criteria for complete MI block are apparently met (MI pseudo-block). We aimed to study the incidence, the electrophysiological characteristics, and the long-term outcome of these patients., Methods: Seventy-two consecutive patients (mean age 62.4 ± 10.2, 62.5% male) underwent MI ablation, either as part of an atrial fibrillation (AF) ablation strategy (n = 35), or to treat clinical reentrant atrial tachycardia (AT) (n = 32), or to treat AT that occurred during ablation for AF (n = 5). Ιn all patients, the electrophysiological characteristics of PMF circuits were studied by high-density mapping., Results: Mitral isthmus block was successfully achieved in 69/72 patients (95.6%). Five patients developed PMF after confirming MI block. In these patients, high-density mapping during the PMF showed a breakthrough in MI with extremely low impulse conduction velocity (CV). In contrast, in usual PMF circuits that occurred after AF ablation, the lowest CV of the reentrant circuit was of significantly higher value (0.07 ± 0.02 m/s vs 0.25 ± 0.07 m/s, respectively; P < .001). Patients presented with clinical AT had better prognosis in maintaining sinus rhythm after MI ablation compared with patients presented with AF., Conclusion: Perimitral atrial flutter with MI pseudo-block may be present after MI ablation and has specific electrophysiological features characterized by remarkably slow CV in the MI. Thus, even after MI block is achieved, a more detailed mapping in the boundaries of the ablation line or reinduction attempts may be needed to exclude residual conduction., Competing Interests: The authors have no conflicts of interest relevant to this manuscript., (© 2021 The Authors. Journal of Arrhythmia published by John Wiley & Sons Australia, Ltd on behalf of Japanese Heart Rhythm Society.)
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- 2021
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12. Monocyte-platelets aggregates as cellular biomarker of endothelium-dependent coronary vasomotor dysfunction in patients with coronary artery disease.
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Di Serafino L, Sarma J, Dierickx K, Ntarladimas I, Pyxaras SA, Delrue L, De Bruyne B, Wijns W, Barbato E, and Bartunek J
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- Aged, Biomarkers blood, Cardiac Pacing, Artificial, Coronary Angiography, Coronary Stenosis blood, Coronary Stenosis physiopathology, Coronary Vessels diagnostic imaging, Endothelium, Vascular diagnostic imaging, Female, Fractional Flow Reserve, Myocardial, Humans, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Registries, Severity of Illness Index, Up-Regulation, Blood Platelets, Coronary Stenosis diagnosis, Coronary Vessels physiopathology, Endothelium, Vascular physiopathology, Monocytes, Platelet Adhesiveness
- Abstract
Monocyte-platelet aggregates (MPA) are increased in patients with acute coronary syndrome. We investigated whether MPA are associated with the presence of functionally significant coronary stenoses or with coronary arterial endothelial dysfunction. One hundred forty five patients undergoing elective coronary angiography were prospectively enrolled. Functional significance of coronary stenosis was assessed by fractional flow reserve (FFR). Thirty randomly selected patients underwent pacing protocol to evaluate Coronary endothelium-dependent vasomotor function (CVF). Whole blood was drawn to evaluate MPA. In patients with FFR ≤ 0.8 (FFRpos, n = 75), MPA did not significantly differ from FFR >0.8 patients (FFRneg, n = 70) (38.1% [25.7-56.6] vs. 34.0% [20.5-49.9], p = 0.08). CVF was similar in FFRpos and FFRneg patients (percent vessel diameter change, %VDC = 7.19 % [6.01-10.9] vs. 8.0 % [0.81-9.80], p = 0.78). Yet, patients with abnormal CVF showed higher MPA as compared to patients with preserved CVF (28.3% [28.8-53.4] vs. 20.5 % [17.0-32.9], p = 0.01). Moreover, MPA was inversely correlated with %VDC (R2 = 0.26, p < 0.01). MPA levels are significantly higher in patients with abnormal coronary vasomotor function regardless of the presence of functionally significant coronary stenosis.
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- 2014
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13. Acute effects of different alcoholic beverages on vascular endothelium, inflammatory markers and thrombosis fibrinolysis system.
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Tousoulis D, Ntarladimas I, Antoniades C, Vasiliadou C, Tentolouris C, Papageorgiou N, Latsios G, and Stefanadis C
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- Adult, Beer, Cross-Over Studies, Endothelium, Vascular physiology, Female, Fibrinolysis physiology, Forearm blood supply, Hemostasis drug effects, Humans, Hyperemia blood, Hyperemia drug therapy, Inflammation blood, Male, Regional Blood Flow drug effects, Thrombosis blood, Vasodilation drug effects, Wine, von Willebrand Factor metabolism, Alcohol Drinking, Endothelium, Vascular drug effects, Fibrinolysis drug effects, Inflammation drug therapy, Thrombosis drug therapy
- Abstract
Background & Aim: Mild alcohol consumption has been associated with decreased cardiovascular risk, although the underlying mechanisms are still unclear. We compared the acute effects of several alcoholic beverages on endothelial function, inflammatory process and thrombosis/fibrinolysis system in young adults., Methods: In this randomized intervention trial, healthy young individuals with no risk factor for atherosclerosis were randomized into 5 equally sized groups and received an equal amount of alcohol (30 g), as red wine (264 ml), white wine (264 ml), beer (633 ml), whisky (79 ml) or water (250 ml). Forearm blood flow was determined by gauge-strain plethysmography, at baseline, 1 and 4 h after alcohol intake. Levels of interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-alpha), C-reactive protein (CRP), fibrinogen (Fib), plasminogen activator inhibitor (PAI-1), von Willebrand factor (vWF) and tissue plasminogen activator (tPA) were determined at baseline and 4 h after alcohol consumption., Results: Reactive hyperemia was significantly increased 1 h after beer and red wine consumption (p<0.05 for both), while it returned at baseline at 4 h (p=ns vs baseline) but remained unchanged in all the other groups. vWF was decreased in the beer and red wine groups (p<0.05 for both) only. PAI-1/tPA ratio remained unchanged only in red wine and control group. Inflammatory markers remained unchanged in all the groups., Conclusions: Acute consumption of red wine or beer improves endothelial function and decreases vWF levels, suggesting that the type of beverage may differently affect endothelial function and thrombosis/fibrinolysis system in healthy adults.
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- 2008
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14. Effects of lipid profile on forearm hyperemic response in young subjects.
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Antoniades C, Tousoulis D, Marinou K, Stefanadi E, Ntarladimas I, Latsios G, Konniari K, Papageorgiou N, Siasos G, and Stefanadis C
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- Adult, Analysis of Variance, Apolipoprotein A-I blood, Apolipoproteins B blood, Apolipoproteins E blood, Cohort Studies, Endothelium, Vascular physiopathology, Female, Humans, Hyperemia blood, Male, Regional Blood Flow, Cholesterol, HDL blood, Cholesterol, LDL blood, Forearm blood supply, Hyperemia physiopathology, Triglycerides blood, Vasodilation physiology
- Abstract
Introduction: The role of lipids in atherogenesis is now well established. However, the exact mechanisms by which different lipoproteins affect endothelial function and induce atherogenesis are still not well understood. In the present study we examined the effect of lipid profile on forearm vasodilatory response to reactive hyperemia, an index of endothelial function, in a cohort of young, low-risk adults., Methods: One hundred sixty seven healthy subjects were included in the study. The effect of total cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), triglycerides, apolipoprotein (apo)-A1, apo-B and apo-E on endothelial function and inflammatory process was examined. Endothelial function was evaluated by determining forearm vasodilatory response to reactive hyperemia (RH%) using gauge-strain plethysmography. RH% was defined as the % change of forearm blood flow from baseline to the maximum flow during post-ischemic hyperemia. Endothelium independent dilatation in response to nitroglycerin (NTG%) was defined as the % change of forearm blood flow from baseline to the maximum flow after sublingual nitroglycerin administration., Results: RH% was correlated with HDL (r = 0.267, p = 0.001), LDL (r = 0.355, p = 0.0001), triglycerides (rho = -0.366, p = 0.0001), apo-Al (r = 0.240, p = 0.004) and apo-B (r = -0.277, p = 0.005). NTG% was not affected by serum lipid levels. In multivariate linear regression, LDL (beta = -0.217 [SE: 0.098], p = 0.028), apo-A1 (beta = 0.277 [SE: 0.124], p = 0.027) and age (beta = 0.916 [SE:0.369], p = 0.015) were independent predictors for RH% in this population (R2 for the model: 0.243, p = 0.0001)., Conclusions: Elevated lipid levels decrease forearm vasodilatory response to reactive hyperemia. Apolipoproteins, and especially apo-Al, are important determinants of endothelial function in these subjects, independently of LDL, HDL and triglycerides, implying that full measurement of the lipid profile may be of great importance in risk stratification of young individuals.
- Published
- 2006
15. Combined effects of smoking and hypercholesterolemia on inflammatory process, thrombosis/fibrinolysis system, and forearm hyperemic response.
- Author
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Antoniades C, Tousoulis D, Vasiliadou C, Marinou K, Tentolouris C, Ntarladimas I, and Stefanadis C
- Subjects
- Adult, Biomarkers blood, C-Reactive Protein metabolism, Cholesterol metabolism, Female, Forearm physiopathology, Humans, Hypercholesterolemia epidemiology, Hypercholesterolemia physiopathology, Hyperemia epidemiology, Hyperemia physiopathology, Interleukin-6 metabolism, Male, Regional Blood Flow physiology, Risk Factors, Smoking epidemiology, Smoking physiopathology, Statistics as Topic, Thrombosis epidemiology, Thrombosis physiopathology, Tumor Necrosis Factor-alpha metabolism, Vasodilation physiology, Fibrinolysis physiology, Forearm blood supply, Hypercholesterolemia metabolism, Hyperemia metabolism, Inflammation Mediators metabolism, Smoking metabolism, Thrombosis metabolism
- Abstract
The combined effects of smoking and hypercholesterolemia on the inflammatory process, the thrombosis/fibrinolysis system, and forearm hyperemic response were investigated. It was shown that smokers with hypercholesterolemia (n = 25) had a reduced and delayed forearm hyperemic response compared with healthy smokers (n = 24), patients with hypercholesterolemia (n = 26), and healthy controls (n = 75; p <0.01 for all). This phenomenon was associated with a respective increase in the inflammatory process and changes in the thrombosis/fibrinolysis system.
- Published
- 2004
- Full Text
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