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2. Novel peripheral blood immune cell populations correlate with disease progression and reveal systemic interactions in severe aortic valve stenosis patients

Author

Anousakis-Vlachochristou, N, primary, Ktenopoulos, N, additional, Paschalidis, N, additional, Giannouli, C, additional, Vlasopoulou, K, additional, Miliou, A, additional, Divani, M, additional, Alexopoulou, M, additional, Kentepozidi, E, additional, Charitos, D, additional, Cokkinos, D, additional, Tsioufis, C, additional, and Toutouzas, K, additional

Published
2022
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3. Vascular conditioning prevents adverse left ventricular remodelling after acute myocardial infarction: a randomised remote conditioning study

Author

Vlastos, D, primary, Ikonomidis, I, additional, Andreadou, I, additional, Gazouli, M, additional, Efentakis, P, additional, Varoudi, M, additional, Makavos, G, additional, Kapelouzou, A, additional, Lekakis, J, additional, Parissis, J, additional, Katsanos, S, additional, Tsilivarakis, D, additional, Cokkinos, D V, additional, and Iliodromitis, E K, additional

Published
2022
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6. Abstracts of original contributions ASNC 2004 9th annual scientific session September 3-–October 3, 2004 New York, New York

Author

Abidov, A, Hachamovitch, R, Friedman, JD, Hayes, SW, Kang, X, Cohen, I, Germano, G, Berman, DS, Kjaer, A, Cortsen, A, Federspiel, M, Hesse, B, Holm, S, O’Connor, M, Dhalla, AK, Wong, M-Y, Wang, W-Q, Belardinelli, L, Therapeutics, CV, Epps, A, Dave, S, Brewer, K, Chiaramida, S, Gordon, L, Hendrix, GH, Feng, B, Pretorius, PH, Bruyant, PP, Boening, G, Beach, RD, Gifford, HC, King, MA, Fessler, JA, Hsu, B-L, Case, JA, Gegen, LL, Hertenstein, GK, Cullom, SJ, Bateman, TM, Akincioglu, C, Abidov, A, Nishina, H, Kavanagh, P, Kang, X, Aboul-Enein, F, Yang, L, Hayes, S, Friedman, J, Berman, D, Germano, G, Santana, CA, Rivero, A, Folks, RD, Grossman, GB, Cooke, CD, Hunsche, A, Faber, TL, Halkar, R, Garcia, EV, Hansen, CL, Silver, S, Kaplan, A, Rasalingam, R, Awar, M, Shirato, S, Reist, K, Htay, T, Mehta, D, Cho, J-H, Heo, J, Dubovsky, E, Calnon, DA, Grewal, KS, George, PB, Richards, DR, Hsi, DH, Singh, N, Meszaros, Z, Thomas, JL, Reyes, E, Loong, CY, Latus, K, Anagnostopoulos, C, Underwood, SR, Kostacos, EJ, Araujo, LI, Kostacos, EJ, Araujo, LI, Lewin, HC, Hyun, MC, DePuey, EG, Tanaka, H, Chikamori, T, Igarashi, Y, Harafuji, K, Usui, Y, Yanagisawa, H, Hida, S, Yamashina, A, Nasr, HA, Mahmoud, SA, Dalipaj, MM, Golanowski, LN, Kemp, RA de, Chow, BJ, Beanlands, RS, Ruddy, TD, Michelena, HI, Mikolich, BM, McNelis, P, Decker, WA Van, Stathopoulos, I, Duncan, S- A, Isasi, C, Travin, MI, Kritzman, JN, Ficaro, EP, Corbett, JR, Allison, JS, Weinsaft, JW, Wong, FJ, Szulc, M, Okin, PM, Kligfield, P, Harafuji, K, Chikamori, T, Igarashi, Y, Tanaka, H, Usui, Y, Yanagisawa, H, Hida, S, Ishimaru, S, Yamashima, A, Giedd, KN, Bergmann, SR, Shah, S, Emmett, L, Allman, KC, Magee, M, Van Gaal, W, Kritharides, L, Freedman, B, Abidov, A, Gerlach, J, Akincioglu, C, Friedman, J, Kavanagh, P, Miranda, R, Germano, G, Berman, DS, Hayes, SW, Damera, N, Lone, B, Singh, R, Shah, A, Yeturi, S, Prasad, Y, Blum, S, Heller, EN, Bhalodkar, NC, Koutelou, M, Kollaros, N, Theodorakos, A, Manginas, A, Leontiadis, E, Kouzoumi, A, Cokkinos, D, Mazzanti, M, Marini, M, Cianci, G, Perna, GP, Pai, M, Greenberg, MD, Liu, F, Frankenberger, O, Kokkinos, P, Hanumara, D, Goheen, E, Wu, C, Panagiotakos, D, Fletcher, R, Greenberg, MD, Liu, F, Frankenberger, O, Kokkinos, P, Hanumara, D, Goheen, E, Rodriguez, OJ, Iyer, VN, Lue, M, Hickey, KT, Blood, DK, Bergmann, SR, Bokhari, S, Chareonthaitawee, P, Christensen, SD, Allen, JL, Kemp, BJ, Hodge, DO, Ritman, EL, Gibbons, RJ, Smanio, P, Riva, G, Rodriquez, F, Tricoti, A, Nakhlawi, A, Thom, A, Pretorius, PH, King, MA, Dahlberg, S, Leppo, J, Slomka, PJ, Nishina, H, Berman, DS, Akincioglu, C, Abidov, A, Friedman, JD, Hayes, SW, Germano, G, Petrovici, R, Husain, M, Lee, DS, Nanthakumar, K, Iwanochko, RM, Brunken, RC, DiFilippo, F, Neumann, DR, Bybel, B, Herrington, B, Bruckbauer, T, Howe, C, Lohmann, K, Hayden, C, Chatterjee, C, Lathrop, B, Brunken, RC, Chen, MS, Lohmann, KA, Howe, WC, Bruckbauer, T, Kaczur, T, Bybel, B, DiFilippo, FP, Druz, RS, Akinboboye, OA, Grimson, R, Nichols, KJ, Reichek, N, Ngai, K, Dim, R, Ho, K- T, Pary, S, Ahmed, SU, Ahlberg, A, Cyr, G, Vitols, PJ, Mann, A, Alexander, L, Rosenblatt, J, Mieres, J, Heller, GV, Ahmed, SU, Ahlberg, AW, Cyr, G, Navare, S, O’Sullivan, D, Heller, GV, Chiadika, S, Lue, M, Blood, DK, Bergmann, SR, Bokhari, S, Heston, TF, Heller, GV, Cerqueira, MD, Jones, PG, Bryngelson, JR, Moutray, KL, Gegen, LL, Hertenstein, GK, Moser, K, Case, JA, Zellweger, MJ, Burger, PC, Pfisterer, ME, Mueller-Brand, J, Kang, WJ, Lee, BI, Lee, DS, Paeng, JC, Lee, JS, Chung, J-K, Lee, MC, To, BN, O’Connell, WJ, Botvinick, EH, Duvall, WL, Croft, LB, Einstein, AJ, Fisher, JE, Haynes, PS, Rose, RK, Henzlova, MJ, Prasad, Y, Vashist, A, Blum, S, Sagar, P, Heller, EN, Kuwabara, Y, Nakayama, K, Tsuru, Y, Nakaya, J, Shindo, S, Hasegawa, M, Komuro, I, Liu, Y-H, Wackers, F, Natale, D, DePuey, G, Taillefer, R, Araujo, L, Kostacos, E, Allen, S, Delbeke, D, Anstett, F, Kansal, P, Calvin, JE, Hendel, RC, Gulati, M, Pratap, P, Takalkar, A, Kostacos, E, Alavi, A, Araujo, L, Melduni, RM, Duncan, S-A, Travin, MI, Isasi CR, Rivero, A, Santana, C, Esiashvili, S, Grossman, G, Halkar, R, Folks, RD, Garcia, EV, Su, H, Dobrucki, LW, Chow, C, Hu, X, Bourke, BN, Cavaliere, P, Hua, J, Sinusas, AJ, Spinale, FG, Sweterlitsch, S, Azure, M, Edwards, DS, Sudhakar, S, Chyun, DA, Young, LH, Inzucchi, SE, Davey, JA, Wackers, FJ, Noble, GL, Navare, SM, Calvert, J, Hussain, SA, Ahlberg, AM, Katten, DM, Boden, WE, Heller, GV, Shaw, LJ, Yang, Y, Antunes, A, Botelho, MF, Gomes, C, de Lima, JJP, Silva, ML, Moreira, JN, Simões, S, GonÇalves, L, Providência, LA, Elhendy, A, Bax, JJ, Schinkel, AF, Valkema, R, van Domburg, RT, Poldermans, D, Arrighi, J, Lampert, R, Burg, M, Soufer, R, Veress, AI, Weiss, JA, Huesman, RH, Gullberg, GT, Moser, K, Case, JA, Loong, CY, Prvulovich, EM, Reyes, E, Aswegen, A van, Anagnostopoulos, C, Underwood, SR, Htay, T, Mehta, D, Sun, L, Lacy, J, Heo, J, Brunken, RC, Kaczur, T, Jaber, W, Ramakrishna, G, Miller, TD, O’connor, MK, Gibbons, RJ, Bural, GG, Mavi, A, Kumar, R, El-Haddad, G, Srinivas, SM, A Alavi, El-Haddad, G, Alavi, A, Araujo, L, Thomas, GS, Johnson, CM, Miyamoto, MI, Thomas, JJ, Majmundar, H, Ryals, LA, Ip, ZTK, Shaw, LJ, Bishop, HA, Carmody, JP, Greathouse, WG, Yanagisawa, H, Chikamori, T, Tanaka, H, Usui, Y, Igarashi, U, Hida, S, Morishima, T, Tanaka, N, Takazawa, K, Yamashina, A, Diedrichs, H, Weber, M, Koulousakis, A, Voth, E, Schwinger, RHG, Mohan, HK, Livieratos, L, Gallagher, S, Bailey, DL, Chambers, J, Fogelman, I, Sobol, I, Barst, RJ, Nichols, K, Widlitz, A, Horn, E, Bergmann, SR, Chen, J, Galt, JR, Durbin, MK, Ye, J, Shao, L, Garcia, EV, Mahenthiran, J, Elliott, JC, Jacob, S, Stricker, S, Kalaria, VG, Sawada, S, Scott, JA, Aziz, K, Yasuda, T, Gewirtz, H, Hsu, BL, Moutray, K, Udelson, JE, Barrett, RJ, Johnson, JR, Menenghetti, C., Taillefer, R, Ruddy, T, Hachamovitch, R, Jenkins, SA, Massaro, J, Haught, H, Lim, CS, Underwood, R, Rosman, J, Hanon, S, Shapiro, M, Schweitzer, P, VanTosh, A, Jones, S, Harafuji, K, Giedd, K N, Johnson, N P, Berliner, J I, Sciacca, R R, Chou, R L, Hickey, K T, Bokhari, S S, Rodriguez, O, Bokhari, S, Moser, KW, Moutray, KL, Koutelou, M, Theodorakos, A, Kollaros, N, Manginas, A, Leontiadis, E, Cokkinos, D, Mazzanti, M, Marini, M, Cianci, G, Perna, GP, Nanasato, M, Fujita, H, Toba, M, Nishimura, T, Nikpour, M, Urowitz, M, Gladman, D, Ibanez, D, Harvey, P, Floras, J, Rouleau, J, Iwanochko, R, Pai, M, Guglin, ME, Ginsberg, FL, Reinig, M, Parrillo, JE, Cha, R, Merhige, ME, Watson, GM, Oliverio, JG, Shelton, V, Frank, SN, Perna, AF, Ferreira, MJ, Ferrer-Antunes, AI, Rodrigues, V, Santos, F, Lima, J, Cerqueira, MD, Magram, MY, Lodge, MA, Babich, JW, Dilsizian, V, Line, BR, Bhalodkar, NC, Lone, B, Singh, R, Prasad, Y, Yeturi, S, Blum, S, Heller, EN, Rodriguez, OJ, Skerrett, D, Charles, C, Shuster, MD, Itescu, S, Wang, TS, Bruyant, PP, Pretorius, PH, Dahlberg, S, King, MA, Petrovici, R, Iwanochko, RM, Lee, DS, Emmett, L, Husain, M, Hosokawa, R, Ohba, M, Kambara, N, Tadamura, E, Kubo, S, Nohara, R, Kita, T, Thompson, RC, McGhie, AI, O’Keefe, JH, Christenson, SD, Chareonthaitawee, P, Kemp, BJ, Jerome, S, Russell, TJ, Lowry, DR, Coombs, VJ, Moses, A, Gottlieb, SO, Heiba, SI, Yee, G, Coppola, J, Elmquist, T, Braff, R, Youssef, I, Ambrose, JA, Abdel-Dayem, HM, Canto, J, Dubovsky, E, Scott, J, Terndrup, TE, Faber, TL, Folks, RD, Dim, UR, Mclaughlin, J, Pollepalle, D, Schapiro, W, Wang, Y, Akinboboye, O, Ngai, K, Druz, RS, Polepalle, D, Phippen-Nater, B, Leonardis, J, and Druz, R

Published
2004
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7. Phenotypic characterization of rabbit model for aortic valve stenosis: a novel medial calcification paradigm

Author

Anousakis-Vlachochristou, N, primary, Mavroidis, M, additional, Makridakis, M, additional, Miliou, A, additional, Kontostathi, G, additional, Agapaki, A, additional, Mouchtouri, E, additional, Zigouri, L, additional, Konstantinou, G, additional, Lampas, E, additional, Kalogera, S, additional, Vlahou, A, additional, Cokkinos, D, additional, Tsioufis, K, additional, and Toutouzas, K, additional

Published
2021
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8. Entropy in Cardiac Autonomic Nervous System of Adolescents with General Learning Disabilities or Dyslexia

Author

S, G. Bacopoulou, F. Chryssanthopoulos, S. Koutelekos, J. Lambrou, G.I. Cokkinos, D.

Abstract

Heart rate variability (HRV) represents one of the two key markers of the autonomic nervous system. It is measured by the time variation in the beat-to-beat interval, while the period between successive beats is defined as the RR interval (RRI). Its components are classified as linear and non-linear. In the field of psychophysiology, HRV is investigated as a key player of possible predictive or diagnostic value. Female adolescents with general learning disabilities or dyslexia were recruited at the Center for Adolescent Medicine and UNESCO Chair on Adolescent Health Care of the National and Kapodistrian University of Athens. Adolescents were further assessed for HRV. Data were collected with the Task Force® Monitor at the Cardiovascular Laboratory of the Biomedical Research Foundation of the Academy of Athens. The RRI time-series were estimated for approximate entropy (AE), conditional entropy (CE), corrected conditional entropy (CCE), fuzzy entropy (FE), permutation entropy (PE), sample entropy (SE), and Shannon’s entropy (ShE). RRI manifested complex dynamics, indicating a complex pattern of progression. This finding suggests that RRI conceals non-linear dynamics, which if investigated in depth could provide more knowledge on the relation between RRI and learning disorders. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Published
2021

10. Kisspeptin and the Genetic Obesity Interactome

Author

S, G. Pavlopoulou, A. Lambrou, G.I. Koutelekos, J. Cokkinos, D. Albanopoulos, K. Chrousos, G.P.

Subjects
endocrine system, digestive, oral, and skin physiology, hormones, hormone substitutes, and hormone antagonists
Abstract

Background: Kisspeptin (encoded by the KISS1 gene in humans) is an excitatory neuromodulatory peptide implicated in multiple homeostatic systems, including anti-oxidation, glucose homeostasis, nutrition, locomotion, etc. Therefore, in the current obesity epidemic, kisspeptin is gaining increasing interest as a research objective. Aim: To construct an updated interactome of genetic obesity, including the kisspeptin signal transduction pathway. Methods: Kisspeptin and obesity-related genes or gene products were extracted from the biomedical literature, and a network of functional associations was created. Results: The generated network contains 101 nodes corresponding to gene/gene products with known and/or predicted interactions. In this interactome, KISS1 and KISS1R are connected directly to the luteinizing hormone receptor (LHCGR), gonadotropin-releasing hormone receptor (GNRH1), and indirectly, through the latter, to proopiomelanocortin (POMC), glucagon, leptin (LEP), and/or pro-protein convertase subtilisin/kexin-type 1 (PCSK1), all of which are critically implicated in obesity disorders. Conclusions: Our updated obesidome includes kisspeptin and its connections to the genetic obesity signalosome with 12 major hubs: glucagon (GCG), insulin (INS), arginine vasopressin (AVP), G protein subunit beta 1 (GNB1) and proopiomelanocortin (POMC), melanocortin 4 receptor (MC4R), leptin (LEP), gonadotropin-releasing hormone 1 (GNRH1), adrenoceptor beta 2 and 3 (ADRB2-3), glucagon-like peptide 1 receptor (GLP1R), and melanocortin 3 receptor (MC3R) genes were identified as major “hubs” for genetic obesity, providing novel insight into the body’s energy homeostasis. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Published
2021

11. Fractal Dynamics in the RR Interval of Craniopharyngioma and Adrenal Tumor in Adolescence

Author

S, G. Bacopoulou, F. Lambrou, G.I. Cokkinos, D.

Abstract

Heart rate variability (HRV) is the physiological phenomenon of variation in the time interval between heartbeats. It is measured by the variation in the beat-to-beat interval and/or RR variability (where R is a point corresponding to the peak of the QRS complex of the ECG wave and RR is the interval between successive Rs) and other components extracted from these. HRV is a field of research interest in pathophysiology (in general) and cancer prognosis (more specifically). Adolescents with adrenal tumor or craniopharyngioma were investigated, herein. Αutonomic nervous system recordings were performed with Task Force® Monitor (gold standard of the Task Force of the European Society of Cardiology and the North American Society of Electrophysiology). The RR interval (RRI) time series calculations were performed with the MatLab® computational environment and included the estimation of fractal dimension and Lyapunov exponent. Fractal dimensions were calculated by estimating N and R, where N represents the number of “squares” needed for a fractal shape to be completed and their respective “square size” R. By definition, if the first derivative of d ln N/d ln R remains constant for a space of R, this is the fractal dimension of the shape, in the present case of the time series trajectory. We found that RRI manifested different fractal dynamics, thus, a complex pattern of progression in these two morbid entities, suggesting the need for further investigation in ANS contribution to tumor pathophysiology. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Published
2021

12. Chronic Systemic Inflammation Measured by Bioimpedance Technology Before and After Sleeve Gastrectomy: A Feasibility Study

Author

S, G. Cokkinos, D. Boschiero, D. Chrousos, G.P. Albanopoulos, K.

Abstract

Stress induces obesity, while extreme obesity causes stress, anxiety, and even depression. Yet, knowledge on the underlying mechanism(s) has many gaps. To this end, we designed a feasibility study, focused on 18 bariatric patients recruited by the First Propaideutic Department of Surgery at the Hippokration University Hospital in Athens, Greece. The patients (aged 23–58 y, weight 101–185.4 kg before surgery) were weighted and evaluated by advanced bioimpedance technology 2–3 days before surgery at the Biomedical Research Foundation of the Academy of Athens. We employed Bioimpedance Electrolytic Extracellular Tomography (Tomeex), which characterizes (a) neurodegenerative responsiveness to stress, (b) sensory and autonomic tones by basal extracellular conductance (BEC), and (c) activity of limbic and cortical brain areas. The patients’ mean body weight loss after 6 months was 48.8 ± 3.1Kg, while stress levels evaluated by appropriate questionnaires decreased (Spearman coefficient significance level p

Published
2021

14. Cyclic stroke mortality variations follow sunspot patterns

Author

Geronikolou, S. Leontitsis, A. Petropoulos, V. Davos, C. Cokkinos, D. Chrousos, G.

Abstract

Mapping time-structures is a burgeoning scientific field enriching the (P4) medicine models. Local evidence in Mediterranean populations is underinvestigated. The Censed stroke-related death events (D) in the largest East-Mediterranean port (Piraeus), during (1985-1989), when local population had diet and genetic homogeneity-been interrupted by the immigration into Greece in 1990s, and Sunspot numbers indexed by Wolf numbers (Rz) (1944-2004), were evaluated using Fast Fourier Analysis and Singular Spectrum Analysis in MATLAB. D were turned with fluctuations >35% in Rz. A non-anthropogenic 6.8 days cycle was recognized. This study may be taken into consideration in future public health planning and chronotherapy evaluations. © 2020 Geronikolou S et al.

Published
2020

15. Cellular Phone User’s Age or the Duration of Calls Moderate Autonomic Nervous System? A Meta-Analysis

Author

Geronikolou, S.A. Johansson, Ӧ. Chrousos, G. Kanaka-Gantenbein, C. Cokkinos, D.

Abstract

Background: The European Health Risk Assessment Network on Electromagnetic Fields Exposure (EFHRAN) reported in 2012: “Children and adolescents represent the first generation of Europeans to be exposed to diffuse EMF since their conception and birth, thus, they are expected to be more sensitive to these fields.” On the other hand, the body’s physiologic processes are regulated by the autonomic nervous system (ANS) in a way that warrants further elucidation. Objective: Age and duration of exposure are investigated for modifying the variance of the reported effects of mobile/cellular phone call (CPC) on ANS indexed, herein, by the heart rate variability (HRV). Method: Five studies targeted to 124 healthy subjects (aged 15.3–28.4 years (24.3 ± 5.2), who have been recorded in supine position before and/or sham versus real exposure (to a CPC lasting 5–32 minutes), are included in this meta-analysis. Age and duration of a CPC are evaluated as predictors in two separate meta-regressions. Results: The meta-analysis identified a heterogeneity I2 = 63.2% for all outcomes and I2 = 65.2% for sympathovagal balance. Thus, we performed meta-regressions: for the sympathovagal balance rather than the combined parameters effect, the goodness of fit model presents significance only for age – the residual sum of squares compared to chi-square distribution (QR) is 4.24 for age (p = 0.12) – while, for minutes of exposure, QR = 8.2805 (p = 0.016). Conclusions: The sympathovagal balance – indispensible for health/homeostasis maintenance – is strongly predicted by age. Minutes of exposure did not affect overall HRV or sympathovagal balance. The results endorse/validate the EFHRAN 2012 suggestion for future research targeting to youngsters. © Springer Nature Switzerland AG 2020.

Published
2020

20. Poster display I clinical general

Author

Gurgenyan, S. V. Svetlana, Vatinyan, S. K. H., Nicogosyan, K. G., Edilyan, L. B., Chobanyan, B. G., Graf, S., Beheshti, M., Kienast, O., Oezer, S., Angelberger, P., Dudczak, R., Li, S. Shuren, Azevedo, J. C. Jader, Félix, R. C., Corrêa, P. L., Barbirato, G. B., Mesquita, E. T., Volschan, A., Dohmann, H. F., Mesquita, C. T., Peix, A. Amalia, Hidalgo, J., Dorticos, E., Llerena, L., Paredes, A., Macias, C., Valle, L. Del, Cortinas, L., Torres, M., Ponce, F., Petersen, C. L. Claus Leth, Appel, J., Kjaer, A., Awadalla, H. Hany, Hamed, R., Jamal, M., Rayan, M., Mahmoodi, A., Awaad, O., Demerdash, S. El, Adel, A., Kader, M. Abdel, Sarda-Mantel, L. Laure, Michel, J. B., Rouzet, F., Martet, G., Louedec, L., Raguin, O., Vrigneaud, J. M., Saumon, G., Khaw, B. A., Guludec, D. Le, Delahaye, N. Nicolas, Dinanian, S., Slama, M. S., Sarda, L., Tamas, C., Samuel, D., Adams, D., Syrota, A., Moralidis, E. Efstratios, Spyridonidis, T., Arsos, G., Karatzas, N., Karakatsanis, K., Koutelou, M. Maria, Theodorakos, A., Kollaros, N., Manginas, A., Graphakos, S., Tsapaki, V., Kouzoumi, A., Cokkinos, D., Goussetis, E., Prassopoulos, V. Vassilios, Parthenakis, F., Patrianakos, A., Velidaki, A., Koukouraki, S., Papadimitriou, E., Diakakis, G., Maurakis, H., Karakavitsas, N., Vardas, P., Koszegi, Z. Zsolt, Jenei, C., Varga, J., Galuska, L., Edes, I., Ray, Soumendranath, Kundu Bijon, Sarma S K., Day N R., Skouse, D. Douglas, Florimonte, L., Maffioli, L., Piatti, L., Calegari, M., Mancini, R., Bossi, M., Carboni, G. P. Gian Piero, Toriyama, T., Takase, H. Hiroyuki, Okado, T, Tanaka, S., Dohi, Y., Yasuhi, W. Watanabe, Akihiro, S., Akio, Y., Yasunori, W., Kimio, T., Nariaki, E., Yasuhiko, T., Ryo, K., Kasama, S. Shu, Honjo, T., Ichikawa, S., Toyama, T., Kurabayashi, M., Furuhashi, T. Tatsuhiko, Moroi, M., Kunimasa, T., Fukuda, H., Sugi, K., Takeishi, Y. Yasuchika, Arimoto, T., Kubota, I., Kambara, N. Naoshige, Hosokawa, R., Ohba, M., Saito, K., Motomura, H., Kanoi, T., Kume, N., Saji, H., Kita, T., Nohara, R., Akashi, Y. J. Yoshihiro, Musha, H., Kida, K., Suzuki, K., Inoue, K., Kawasaki, K., Hashimoto, N., Miyake, F., Yokoyama, Y. Yasuhiro, Sato, A., Nozato, T., Takahashi, A., Isobe, M., Aonuma, K., Hiroe, M., Peovska, I. Irena, Bosevski, M., Pavlovic, J.Maksimovic, Vavlukis, M., Vallejo, E. Enrique, Rodriguez, G., Jimenez, L., Hernandez, S., Bialostozky, D., Orea, A. Arturo, Asensio, E., Castillo, L., Dorantes, J., Narvaez, R., Gonzalez, O., Zee, P. M. Marc Van der, Verberne, H. J., Straalen, J. P. Van, Fischer, J. C., Sanders, G. T. B., Eck-Smit, B. L. F. Van, Winter, R. J. De, Kostkiewicz, M. Magdalena, Szot, W., Mura, A., Lesniak-Sobelga, A., Olszowska, M., Tracz, W., Ferreira, M. J. Maria Joao, Ferrer-Antunes, A. I., Rodrigues, V., Santos, F., Lima, J., Cerqueira, M. D., Providencia, L. A., Rodrigues, V., Martins, E., Vasconcelos, M. Mariana, Faria, T., Oliveira, A., Garcia, M., Pereira, J., Rocha-Goncalves, F., Lourenço, C. Cândida, Ferrer-Antunes, A., Vieira, H., Martins, R., Franco, F., Providência, L. A., Flotats, A. Albert, Estorch, M., Estorch, M. Montserrat, Mena, E., Camacho, V., Fuertes, J., Rodriguez, A., Flotats, A., Hernandez, M. A., Kulisewsky, J., Carrio, I., Jose-Galcera, J., Caballero-Martínez, A., Jara-Perez, P., Villegas-Garcia, M., Iñigo-García, L., Rosa, J. A. Nuño de la, Florenciano-Sánchez, R., Castillo-Soria, J. F., Valentí-Aldeguer, J. A., Pico-Aracil, F., Martínez-Caballero, A., Villegas-García, M., Castillo-Soria, F., Sánchez-Villanueva, J. G., Rosa, J. A. Nuço de la, Içigo-García, L., Palop, R., Florenciano-Sanchez, R., Lopez-Martínez, I., Jara-Pñrez, P., Rosa, J. A. Nuno de la, Castillo-Soria, F. J., Jara-Pérez, P., Contreras, J., Villegas-Sánchez, M., Obrador, D., Puig, M., Serra-Grima, R., Santaló, M., Carrió, I., Sorensen, J. Jens, Frostfeldt, G., Lindahl, B., Valind, S., Wallentin, L., Somsen, G. A. Aernout, Burri, H., Zaza, S., Fleury, E., Righetti, A., Entok, E. Emre, Birdane, A., Cavusoglu, Y., Ak, I., Timuralp, B., Haworth, M. J., Mitchell, A. R. J. Andrew, Gardner, M. A., Ormerod, O. J. M., Clements, I. P. Ian, Mullan, B. P., MacGregor, C. G., Breen, J. F., Akinboboye, O. O., Nichols, K. J., Wang, Y., Dim, U. Uzodinma, Lachman, J., Nichols, K. J., Muratore, K. A., Aracely, N., Haag, E. S., Druz, R. S. Regina, Gopal, A. S., Borges, A., Ngai, K. C., Dim, U. R., Wiley, M., Freeman, J., Kitchen, S., Graham, D., Schindel, M., Clark, E., Speiser, D., Hackney, T., Feldkamp, M., and Rosamond, T. Thomas

Published
2005
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23. Investigation of the optimal rabbit model for aortic valve stenosis

Author

Anousakis-Vlachochristou, N, primary, Katsa, M, additional, Panara, A, additional, Varela, A, additional, Kyriakidou, M, additional, Kapelouzou, A, additional, Nitsa, A, additional, Galiatsatos, N, additional, Toutouza, M, additional, Anastassopoulou, I, additional, Thomaidis, N, additional, Anagnostopoulos, C, additional, Cokkinos, D, additional, Tousoulis, D, additional, and Toutouzas, K, additional

Published
2020
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24. Modified New Zealand rabbit model produces severe aortic valve calcification and stenosis via extracellular membranous particles

Author

Anousakis-Vlachochristou, N, primary, Varela, A, additional, Kyriakidou, M, additional, Parimalam, S, additional, Badilescu, S, additional, Agapaki, A, additional, Lali, D, additional, Kapelouzou, A, additional, Anastassopoulou, I, additional, Packirisamy, M, additional, Anagnostopoulos, C, additional, Cokkinos, D, additional, Tousoulis, D, additional, and Toutouzas, K, additional

Published
2020
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25. P357 Remote ischemic post-conditioning may prevent cardiac remodeling within two years of STEMI by cardioprotective microRNA upregulation

Author

Ikonomidis, I, primary, Vlastos, D, additional, Katsanos, S, additional, Gazouli, M, additional, Thymis, J, additional, Triantafyllou, C, additional, Varoudi, M, additional, Andreadou, I, additional, Triantafyllidi, H, additional, Makavos, G, additional, Kapelouzou, A, additional, Vrettou, A R, additional, Frogoudaki, A, additional, Cokkinos, D, additional, and Iliodromitis, E K, additional

Published
2020
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27. P1588 micro rna expression profiling may predict cardiac remodeling after stemi

Author

Ikonomidis, I, primary, Vlastos, D, additional, Katsanos, S, additional, Gazouli, M, additional, Thymis, J, additional, Triantafyllou, C, additional, Varoudi, M, additional, Andreadou, I, additional, Triantafyllidi, H, additional, Makavos, G, additional, Kapelouzou, A, additional, Vrettou, A R, additional, Frogoudaki, A, additional, Cokkinos, D, additional, and Iliodromitis, E K, additional

Published
2020
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41. Pathophysiology of Dyslipidaemia in the metabolic syndrome

Author

Anagnostopoulou, K. K., Cokkinos, D. V., and Kolovou, G. D.

Subjects
Type 2 diabetes -- Causes of, Statins -- Dosage and administration, Metabolic syndrome X -- Analysis, Metabolic syndrome X -- Causes of, Insulin resistance -- Analysis, Insulin resistance -- Causes of, Fatty acids -- Analysis, Dyslipidemias -- Analysis, Dyslipidemias -- Diagnosis, Dyslipidemias -- Care and treatment, Health
Published
2005

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