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615 results on '"Paulweber, Bernhard"'

3. The platelet transcriptome and proteome in Alzheimers disease and aging: an exploratory cross-sectional study.

Author

de Sousa, Diana, Poupardin, Rodolphe, Villeda, Saul, Fröhlich, Thomas, Frey, Vanessa, Staffen, Wolfgang, Mrowetz, Heike, Altendorfer, Barbara, Unger, Michael, Iglseder, Bernhard, Paulweber, Bernhard, Trinka, Eugen, Cadamuro, Janne, Drerup, Martin, Schallmoser, Katharina, Aigner, Ludwig, Kniewallner, Kathrin, and Schroer, Adam

Subjects
Alzheimer’s disease, aging, platelets, proteomics, transcriptomics
Abstract

Introduction: Alzheimers disease (AD) and aging are associated with platelet hyperactivity. However, the mechanisms underlying abnormal platelet function in AD and aging are yet poorly understood. Methods: To explore the molecular profile of AD and aged platelets, we investigated platelet activation (i.e., CD62P expression), proteome and transcriptome in AD patients, non-demented elderly, and young individuals as controls. Results: AD, aged and young individuals showed similar levels of platelet activation based on CD62P expression. However, AD and aged individuals had a proteomic signature suggestive of increased platelet activation compared with young controls. Transcriptomic profiling suggested the dysregulation of proteolytic machinery involved in regulating platelet function, particularly the ubiquitin-proteasome system in AD and autophagy in aging. The functional implication of these transcriptomic alterations remains unclear and requires further investigation. Discussion: Our data strengthen the evidence of enhanced platelet activation in aging and provide a first glimpse of the platelet transcriptomic changes occurring in AD.

Published
2023

4. PCSK9 Activity Is Potentiated Through HDL Binding

Author

Burnap, Sean A, Sattler, Katherine, Pechlaner, Raimund, Duregotti, Elisa, Lu, Ruifang, Theofilatos, Konstantinos, Takov, Kaloyan, Heusch, Gerd, Tsimikas, Sotirios, Fernández-Hernando, Carlos, Berry, Sarah E, Hall, Wendy L, Notdurfter, Marlene, Rungger, Gregorio, Paulweber, Bernhard, Willeit, Johann, Kiechl, Stefan, Levkau, Bodo, and Mayr, Manuel

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Atherosclerosis, Cardiovascular, Clinical Research, Heart Disease, Heart Disease - Coronary Heart Disease, Apolipoprotein C-III, Biomarkers, Coronary Artery Disease, Female, Hep G2 Cells, Humans, Lipoproteins, HDL, Male, Middle Aged, Postprandial Period, Proprotein Convertase 9, Protein Binding, Proteome, apolipoproteins, coronary artery disease, cardiovascular diseases, lipoproteins, mass spectrometry, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

RationaleProprotein convertase subtilisin/kexin type 9 (PCSK9) circulates in a free and lipoprotein-bound form, yet the functional consequence of the association between PCSK9 and high-density lipoprotein (HDL) remains unexplored.ObjectiveThis study sought to interrogate the novel relationship between PCSK9 and HDL in humans.Methods and resultsComparing lipoprotein and apolipoprotein profiles by nuclear magnetic resonance and targeted mass spectrometry measurements with PCSK9 levels in the community-based Bruneck (n=656) study revealed a positive association of plasma PCSK9 with small HDL, alongside a highly significant positive correlation between plasma levels of PCSK9 and apolipoprotein-C3, an inhibitor of lipoprotein lipase. The latter association was replicated in an independent cohort, the SAPHIR study (n=270). Thus, PCSK9-HDL association was determined during the postprandial response in two dietary studies (n=20 participants each, 8 times points). Peak triglyceride levels coincided with an attenuation of the PCSK9-HDL association, a loss of apolipoprotein-C3 from HDL and lower levels of small HDL as measured by nuclear magnetic resonance. Crosslinking mass spectrometry (XLMS) upon isolated HDL identified PCSK9 as a potential HDL-binding partner. PCSK9 association with HDL was confirmed through size-exclusion chromatography and immuno-isolation. Quantitative proteomics upon HDL isolated from patients with coronary artery disease (n=172) returned PCSK9 as a core member of the HDL proteome. Combined interrogation of the HDL proteome and lipidome revealed a distinct cluster of PCSK9, phospholipid transfer protein, clusterin and apolipoprotein-E within the HDL proteome, that was altered by sex and positively correlated with sphingomyelin content. Mechanistically, HDL facilitated PCSK9-mediated low-density lipoprotein receptor degradation and reduced low-density lipoprotein uptake through the modulation of PCSK9 internalisation and multimerisation.ConclusionsThis study reports HDL as a binder of PCSK9 and regulator of its function. The combination of -omic technologies revealed postprandial lipaemia as a driver of PCSK9 and apolipoprotein-C3 release from HDL.

Published
2021

6. Diabetische Nierenerkrankung (Update 2023): Positionspapier der Österreichischen Diabetes Gesellschaft und der Österreichischen Gesellschaft für Nephrologie

Author

Sourij, Harald, Edlinger, Roland, Prischl, Friedrich C., Kaser, Susanne, Horn, Sabine, Antlanger, Marlies, Paulweber, Bernhard, Aberer, Felix, Brix, Johanna, Cejka, Daniel, Stingl, Harald, Kautzky-Willer, Alexandra, Schmaldienst, Sabine, Clodi, Martin, Rosenkranz, Alexander, Mayer, Gert, Oberbauer, Rainer, and Säemann, Marcus

Published
2023
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7. Antihyperglykämische Therapie bei Diabetes mellitus Typ 2 (Update 2023)

Author

Clodi, Martin, Abrahamian, Heidemarie, Brath, Helmut, Schernthaner, Guntram, Brix, Johann, Ludvik, Bernhard, Drexel, Heinz, Saely, Christoph H., Fasching, Peter, Rega-Kaun, Gersina, Föger, Bernhard, Francesconi, Claudia, Fröhlich-Reiterer, Elke, Kautzky-Willer, Alexandra, Harreiter, Jürgen, Luger, Anton, Resl, Michael, Riedl, Michaela, Winhofer, Yvonne, Hofer, Sabine E., Hoppichler, Friedrich, Huber, Joakim, Kaser, Susanne, Ress, Claudia, Lechleitner, Monika, Aberer, Felix, Mader, Julia K., Sourij, Harald, Toplak, Hermann, Paulweber, Bernhard, Stechemesser, Lars, Pieber, Thomas, Prager, Rudolf, Stingl, Harald, Stulnig, Thomas, Rami-Merhar, Birgit, Drexel, Heinz, Roden, Michael, Schelkshorn, Christian, Wascher, Thomas C., Weitgasser, Raimund, and Zlamal-Fortunat, Sandra

Published
2023
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9. FRI-303 Depression as a determinant of metabolic dysfunction-associated steatotic liver disease (MASLD) risk in the Paracelsus 10, 000 study

Author

Koutny, Florian, primary, Aigner, Elmar, additional, Datz, Christian, additional, Gensluckner, Sophie, additional, Maieron, Andreas, additional, Mega, Andrea, additional, Iglseder, Bernhard, additional, Langthaler, Patrick, additional, Flamm, Maria, additional, Frey, Vanessa, additional, Paulweber, Bernhard, additional, Trinka, Eugen, additional, and Wernly, Bernhard, additional

Published
2024
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11. Outcomes with Finerenone in Participants with Stage 4 CKD and Type 2 Diabetes: A FIDELITY Subgroup Analysis

Author

Sarafidis, Pantelis, Agarwal, Rajiv, Pitt, Bertram, Wanner, Christoph, Filippatos, Gerasimos, Boletis, John, Tuttle, Katherine R., Ruilope, Luis M., Rossing, Peter, Toto, Robert, Anker, Stefan D., Liu, Zhi-Hong, Joseph, Amer, Ahlers, Christiane, Brinker, Meike, Lawatscheck, Robert, Bakris, George, Aizenberg, Diego, Bartolacci, Inés, Besada, Diego, Bittar, Julio, Chahin, Mariano, Elbert, Alicia, Gelersztein, Elizabeth, Liberman, Alberto, Maffei, Laura, Manghi, Federico Pérez, Sanabria, Hugo, Vallejos, Augusto, Viñes, Gloria, Wassermann, Alfredo, Abhayaratna, Walter, Acharya, Shamasunder, Ekinci, Elif, Lee, Darren, MacIsaac, Richard, Mah, Peak Mann, Nelson, Craig, Packham, David, Pape, Alexia, Roger, Simon, Stephenson, Hugo, Suranyi, Michael, Wittert, Gary, Vale, Elizabeth, Colman, Peter, Colquhoun, David, Ellis, Chris, Joshua, Kim, Pedagogos, Eugenia, Regal, Paul, Topliss, Duncan, Vandeleur, James, Verjans, Johan, Wittert, Gary, Wynne, Katie-Jane, Clodi, Martin, Ebenbichler, Christoph, Fliesser-Görzer, Evelyn, Hanusch, Ursula, Krebs, Michael, Lhotta, Karl, Ludvik, Bernhard, Mayer, Gert, Neudorfer, Peter, Paulweber, Bernhard, Prager, Rudolf, Preiß, Wolfgang, Prischl, Friedrich, Schernthaner, Gerit-Holger, Sourij, Harald, Wiesholzer, Martin, Drexel, Heinz, Oberbauer, Rainer, Schönherr, Hans-Robert, Doubel, Peter, Engelen, Wendy, Gillard, Pieter, Hougardy, Jean-Michel, Krzesinski, Jean-Marie, Maes, Bart, Speeckaert, Marijn, Stas, Koen, van Gaal, Luc, Vanbelleghem, Hilde, Duyck, Francis, Scheen, André, Antunes, Daniela, Botelho, Roberto, Brito, Claudia, Canani, Luis, Canziani, Maria Eugenia, Cerqueira, Maria, de Paula, Rogerio, Eliaschewitz, Freddy, Figueiredo, Carlos Eduardo, Forti, Adriana, Hissa, Miguel, Leite, Emerson Lima Maurilo, Jr, Noronha, Irene, Paolino, Bruno, Paschoalin, Nathalia, Paschoalin, Raphael, Filho, Roberto Pecoits, Pereira, Marcio, Portes, Evandro, Precoma, Dalton, Rea, Rosangela, Riella, Miguel, Salles, Joao Eduardo, Vasconcellos, Eduardo, Vencio, Sergio, Bacci, Marcelo, Maia, Lilia, Villacorta, Aline, Apostolova, Emiliya, Boshnyashka, Radostina, Farah, Ghassan, Georgiev, Dimitar, Gushterova, Valentina, Klyuchkova, Neli, Lucheva, Mariya, Manova, Petya, Minkova, Dotska, Nonchev, Boyan, Pichmanova, Mariyana, Prakova, Zhulieta, Rangelov, Rangel, Rashkov, Rosen, Stanchev, Pavel, Stoyanovska-Elencheva, Bilyana, Tagarev, Zhivko, Temelkova-Kurktschieva, Theodora, Vasileva, Svetla, Yoncheva-Mihaylova, Mariana, Marinchev, Angel, Miteva, Mariya, Barre, Paul, Carlson, Brian, Conway, James, Cournoyer, Serge, Dumas, Richard, Fikry, Sameh, Goluch, Richard, Hamet, Pavel, Hart, Randolph, Henein, Sam, Liutkus, Joanne, Madore, Francois, Martinho, Valdemar, Mazza, Giuseppe, McFarlane, Philip, Keefe, Dennis O′, Peterson, Sean, Schwartz, Daniel, Shu, Daniel, Steele, Andrew, Tellier, Guy, Tennankore, Karthik, Tobe, Sheldon, Tsoukas, George, Tytus, Richard, Vitou, Louise, Walsh, Michael, Weisnagel, Stanley, Wilderman, Igor, Yale, Jean-Francois, El Boreky, Fadia, Kelly, Alan, Leiter, Lawrence, Teitelbaum, Ivor, Cobos, Jorge, Godoy, Juan, González, Fernando, Lobos, Sergio, Palma, Juan Carlos, Prieto Dominguez, Juan Carlos, Reyes, Eliana, Romero, Carmen, Saavedra, Victor, Vega, Mario, Medina, Marcelo, Varleta, Paola, Bu, Ruifang, Cai, Hanqing, Chen, Nan, Chen, Qinkai, Chen, Dejun, Cheng, Jinluo, Dong, Youping, Dong, Junwu, Guan, Tianjun, Hao, Chuanming, Huang, Wen, Jiang, Fangfang, Lei, Minxiang, Li, Ling, Li, Zhonghe, Li, Xuemei, Li, Jingmei, Li, Yan, Liang, Xinling, Liang, Bo, Liu, Fang, Liu, Yinghong, Liu, Yuantao, Liu, Zhihong, Long, Gang, Lu, Guoyuan, Lu, Weiping, Lu, Yibing, Luo, Ping, Ma, Jianhua, Mo, Zhaohui, Niu, Jianying, Peng, Ai, Shen, Jiansong, Shen, Feixia, Shi, Bingyin, Su, Qing, Sun, Zhuxing, Tang, Shuifu, Tong, Nanwei, Wang, Hao, Wang, Xinjun, Wang, Guixia, Wang, Jianqin, Wang, Yangang, Wang, Li, Wei, Jiali, Wu, Tianfeng, Wu, Chaoqing, Xing, Changying, Xiong, Fei, Xu, Xudong, Xu, Ning, Yan, Tiekun, Yang, Jinkui, Yin, Aiping, Zeng, Longyi, Zhang, Hao, Zhang, Yanlin, Zhang, Ying, Zhao, Wenjing, Zhao, Zhiquan, Zheng, Hongguang, Zhong, Ling, Zhu, Dalong, Zhuang, Yongze, Du, Yuming, Fang, Yi, Guo, Weiying, Jiang, Sheng, Kuang, Jian, Li, Dongmei, Li, Hongmei, Li, Yinan, Li, Yuxiu, Liu, Jian, Liu, Yu, Miao, Heng, Peng, Wen, Wang, Lihua, Xu, Mingtong, Zhong, Liyong, Zhu, Jun, Arango, Clara, Barrera, Sandra, López, Nelly Beltrán, Benitez, Diego, Blanco, Guillermo, Cadena, Andrés, Coronel, Julian, Cure, Carlos, Durán, Carlos, González, Alexander, Guzmán, Gustavo, Hernández, Eric, Ibarra, Jaime, Jaramillo, Carlos, Jaramillo, Nicolás, Kattah, William, Molina, Dora, Sánchez, Gregorio, Terront, Mónica, Trujillo, Freddy, Urina, Miguel, Vargas, Ruben, Villegas, Iván, Yupanqui, Hernán, Arcos, Edgar, Aroca, Gustavo, Barreto, Germán, Bermudez, Andres, Botero, Rodrigo, Cárdenas, Tatiana, Figueroa, Wilmer, Jaramillo, Mónica, Liévano, Manuel, López, Mónica, Molina, Dora, Rosero, Ricardo, Trillos, Pedro, Dino Alferi, Brada, Michal, Brezina, Jiri, Bucek, Petr, Edelsberger, Tomas, Gulakova, Drahomira, Zapletalova, Jitka Hasalova, Hola, Olga, Hornova, Lucie, Houdova, Jana, Hrmova, Helena, Karasek, David, Kopecka, Sarka, Kovar, Richard, Krcova, Eva, Kuchar, Jiri, Kutejova, Vlasta, Lubanda, Hana, Matyasek, Ivo, Mokrejsova, Magdalena, Okenka, Libor, Prazny, Martin, Pumprla, Jiri, Tomanek, Pavel, Andersen, Ulla, Andries, Alin, Bech, Jesper, Faber, Jens, Gislason, Gunnar, Hangaard, Jørgen, Pacyk, Grzegorz Jaroslaw, Juhl, Claus, Krarup, Thure, Lindhardt, Morten, Madsbad, Sten, Nielsen, Joan, Pedersen-Bjergaard, Ulrik, Poulsen, Per, Rasmussen, Ole, Rossing, Peter, Schousboe, Karoline, Gram, Jeppe, Lauridsen, Thomas, Pedersen, Erling, Thorsteinsson, Birger, Flöjt, Päivi, Honkasalo, Mikko, Honkasalo, Mikko, Humaloja, Kari, Kananen, Kristiina, Kantola, Ilkka, Koistinen, Arvo, Korsoff, Pirkko, Lahtela, Jorma, Nieminen, Sakari, Nieminen, Tuomo, Sadeharju, Karita, Strand, Jorma, Sulosaari, Sakari, Cariou, Bertrand, Chantrel, François, Clavel, Sylvaine, Combe, Christian, Fauvel, Jean-Pierre, Gallouj, Karim, Gouet, Didier, Guerci, Bruno, Guerrot, Dominique, Hourmant, Maryvonne, Klein, Alexandre, Mariat, Christophe, Marre, Michel, Mesbah, Rafik, Le Meur, Yannick, Monier, Arnaud, Moranne, Olivier, Roussel, Ronan, Serusclat, Pierre, Vendrely, Benoit, Verges, Bruno, Zaoui, Philippe, Axthelm, Christoph, Bergmann, Andreas, Birkenfeld, Andreas L., Braun, Hermann, Busch, Klaus, Contzen, Christel, Degenhardt, Stefan, Derwahl, Karl, Giebel, Thomas, Hagenow, Andreas, Haller, Hermann, Hasslacher, Christoph, Horacek, Thomas, Jungmair, Wolfgang, Kloos, Christof, Koch, Thorsten, Krüger, Thilo, Mühlfeld, Anja, Müller, Joachim, Pfützner, Andreas, Pistrosch, Frank, Rinke, Andrea, Rose, Ludger, Rump, Lars, Schettler, Volker, Schiefke, Ingolf, Schlichthaar, Heike, Schröppel, Bernd, Schöll, Norbert, Schubert, Kristin, Schürholz, Thomas, Sigal, Helena, Stemler, Lutz, Strack, Georg, Täschner, Heidrun, Toursarkissian, Nicole, Tschöpe, Diethelm, Ulmer, Achim, van der Giet, Markus, Wanner, Christoph, Winkelmann, Bernhard R., Boletis, Ioannis, Dimitriadis, George, Hatziagelaki, Erifili, Iatrou, Christos, Ioannidis, Ioannis, Kounadi, Theodora, Makriniotou, Ioanna, Papadopoulou, Dorothea, Papagianni, Aikaterini, Passadakis, Ploumis, Piaditis, George, Stefanidis, Ioannis, Tai Pang Ip, Lee, Paul, Andrea Luk, On Yan, Ma, Ronald, Chow, Wing Sun, Wang, Angela, Yeung, Vincent, Bajcsi, Dora, Danos, Peter, Harcsa, Eleonora, Kalina, Akos, Kazup, Szilvia, Keltai, Katalin, Kirschner, Robert, Kiss, Julianna, Kovacs, Laszlo, Lamboy, Beata, Literati-Nagy, Botond, Mileder, Margit, Nagy, Laszlo, Noori, Ebrahim, Nyirati, Gabor, Petro, Gizella, Schneider, Karoly, Simon, Judit, Szocs, Albert, Vasas, Szilard, Wudi, Krisztina, Zilahi, Zsolt, Zsom, Marianna, Eustace, Joe, Holian, John, Reddan, Donal, Meara, Yvonne O′, Abramof Ness, Rosane, Adawi, Faiad, Armaly, Zaher, Atar, Shaul, Bashkin, Amir, Ben Chetrit, Sydney, Yanay, Noa Berar, Chernin, Gil, Darawsha, Mahmud, Efrati, Shai, Elias, Mazen, Farber, Evgeny, Glandt, Mariela, Grossman, Ehud, Halabi, Majdi, Harman-Boehm, Ilana, Khazim, Khaled, Liberty, Idit, Minuchin, Oscar, Mosenzon, Ofri, Nakhoul, Farid, Nimer, Assy, Schwartz, Doron, Wainstein, Julio, Yagil, Yoram, Zukermann, Robert, Avogaro, Angelo, Battaglia, Giovanni Giorgio, Bevilacqua, Maurizio Tiziano, Bonora, Enzo, Bossi, Carlo Antonio, Calabrò, Paolo, Cavalot, Franco Luigi, Cimino, Roberto, Cozzolino, Mario Gennaro, David, Salvatore, Emdin, Michele, Fiaccadori, Enrico, Fiorina, Paolo, Giorda, Carlo Bruno, Gregorini, Maria Cristina, La Manna, Gaetano, Maggi, Davide Carlo, Manti, Roberta, Meregalli, Giancarla, Pani, Antonello, Parvanova, Aneliy Ilieva, Perico, Norberto, Piatti, PierMarco, Pisani, Antonio, Pontiroli, Antonio Ettore, Ponzani, Paola, Santorelli, Gennaro, Santoro, Domenico, Scanziani, Renzo, Teatini, Ugo, Tonolo, Giancarlo, Trevisan, Roberto, Veronelli, Anna Maria, Viviani, Giorgio Luciano, Araki, Hideo, Bando, Yukihiro, Ebisui, Osamu, Fujita, Naruhiro, Fukasawa, Hirotaka, Furuya, Ryuichi, Hamamoto, Yoshiyuki, Hamasaki, Akihiro, Hasegawa, Kotaro, Hatazaki, Masahiro, Hayashi, Terumasa, Higashi, Takayuki, Hirohata, Yoshihide, Horinouchi, Shuji, Hoshi, Ayumu, Imoto, Hirofumi, Inagaki, Akemi, Inagaki, Masayuki, Inaguma, Daijo, Inoue, Toshihiko, Ishii, Masao, Ishiko, Tamayo, Isono, Motohide, Jinnouchi, Hideaki, Kanai, Hidetoshi, Kanda, Daisuke, Kanehara, Hideo, Kashima, Masayuki, Kataoka, Yuko, Katayama, Shigehiro, Kato, Kiyoe, Katsuki, Takeshi, Kawamitsu, Katsunori, Kawasaki, Satsuki, Kikuchi, Fumi, Kikuchi, Hidetoshi, Kishimoto, Rui, Kobayashi, Kunihisa, Koide, Junko, Komi, Rieko, Kubota, Miyuki, Kuriya, Genpei, Kurose, Takeshi, Kusano, Yoshiro, Hajime, Maeda, Matsubayashi, Sunao, Matsumoto, Kazunari, Matsumura, Naoya, Matsuo, Yasuto, Matsuoka, Naoki, Miyaoka, Hiroaki, Miyata, Satoshi, Morita, Takeshi, Murakami, Isao, Murao, Satoshi, Nakamura, Udai, Nakayama, Mikihiro, Nakazawa, Jun, Nohara, Sakae, Nomiyama, Takashi, Noritake, Masayuki, Oda, Yoshiaki, Ogiwara, Takayuki, Ohashi, Hiroshi, Okamoto, Hideki, Okino, Shinichi, Osonoi, Takeshi, Sasaki, Nobuhiro, Sayo, Yoshitaka, Sekigami, Taiji, Shibasaki, Taro, Shibata, Hirotaka, Shimoyama, Tatsushi, Shinoda, Junji, Sobajima, Hiroshi, Sugitatsu, Kazuya, Sugiura, Toshiyuki, Sugiyama, Toru, Suzuki, Daisuke, Suzuki, Hiroyuki, Suzuki, Masaaki, Takeda, Asami, Tanaka, Asami, Tanaka, Seiichi, Tsunematsu, Izumi, Ueda, Yasuo, Uekihara, Soichi, Ujihara, Makoto, Yajima, Ken, Yamada, Daishiro, Yamada, Masayo, Yamagata, Kazuo, Yamakawa, Ken, Yamakawa, Fumiko, Yamasaki, Yoshimitsu, Yambe, Yuko, Yanagida, Taihei, Yanai, Hidekatsu, Yanase, Toshihiko, Yasuda, Tetsuyuki, Kriauciuniene, Dovile, Lasiene, Jurate, Navickas, Antanas, Radzeviciene, Lina, Urbanaviciene, Egle, Urbonas, Gediminas, Velaviciene, Audrone, Abd Ghani, Rohana, Aziz, Nor Azizah, Lee, Li Yuan, Loh, Chek Loong, Ali, Norhaliza Mohd, Noor, Nurain Mohd, Fatnoon Nik Ahmad, Nik Nur, Ratnasingam, Jeyakantha, Halimi Bin Wan Hasan, Wan Hasnul, Izani Wan Mohamed, Wan Mohd, Khir, Rizmy Najme, Mohamad, Masni, Alexander Tan, Tong Boon, Avila Pardo, Sandro, Adrian, Miriam Bastidas, Wong, Alfredo Chew, Escobedo de la Peña, Jorge, Salmón, Guillermo Fanghänel, Gálvez, Guillermo González, Ochoa, Ramiro Gutiérrez, Santana, Saúl Irizar, Rovalo, Magdalena Madero, Machado, Gustavo Méndez, Ruiz, Luis Nevarez, Ibarra, Denisse Ramos, López, Gabriel Ramos, Reyna, Leobardo Sauque, Ortiz, Gustavo Solache, Ortiz, Rafael Valdez, Mesa, Juan Villagordoa, Salazar, Melchor Alpizar, Hernández, Pedro García, González, José, Soto, José Lazcano, Mendoza, Arturo Saldaña, Santana, Sergio Irizar, Vilchis, Elvira González, Bakker, R.C., Barendregt, J.N.M., Boonstra, A.H., Bos, Willem, Brouwer, C.B., Buren, M. van, Gansevoort, Ron, Kooy, Adriaan, Krekels, Marielle, Leendert, Ruud J.M. van, Lieverse, Louis A.G., Luik, P.T., Penne, E. Lars, Gregoor, Peter Smak, Vogt, Liffert, Born, Bert-Jan van den, John Baker, Crawford, Veronica, Cutfield, Rick, Dunn, Peter, Krebs, Jeremy, Nirmalaraj, Kingsley, Scott, Russell, Smuts, Nine, Titchener, Janet, Eriksen, Erik, Finnes, Trine, Høivik, Hans, Karlsson, Thomas, Munk, Peter Scott, Radtke, Maria, Risberg, Knut, Rocke, Jan, Solnør, Leidulv, Stenehjem, Aud-Eldrid, Tafjord, Anne-Beathe, Asprusten, Emil, Hagemeier, Robert, Høye, Kjetil, Selsås, Hilde, Thorup, Frode, Wium, Cecilie, Pamugas, Glenda, Panelo, Araceli, Perez, Ronald, Tanque, Maribel, Tirador, Louie, Villa, Michael, Bautista, Albert, Catindig, Elizabeth, Manalo, Carlo, Mirasol, Roberto, Butrymowicz, Patrycja, Ciechanowski, Kazimierz, Cieslik, Grazyna, Franek, Edward, Gumprecht, Janusz, Hoffmann, Michal, Krzykowska, Jolanta, Kurnatowska, Ilona, Landa, Katarzyna, Madrzejewski, Adam, Madziarska, Katarzyna, Mazur, Stanislaw, Napora, Piotr, Nowicki, Michal, Ocicka-Kozakiewicz, Anna, Rewerska, Barbara, Rusicka, Teresa, Ruxer, Jan, Skokowska, Ewa, Stankiewicz, Andrzej, Stompor, Tomasz, Tiuryn-Petrulewicz, Agnieszka, Wasilewska, Katarzyna, Wierusz-Wysocka, Bogna, Wnetrzak-Michalska, Renata, Jedynasty, Krystyna, Anand, Izabela Sein, Almeida, Edgar, Ballesteros, Rosa, Barreto, Carlos, Beirao, Idalina, Birne, Rita, Esteves, Cesar, Guia, Jose, Heitor, Susana, Marques, Olinda, Melo, Pedro, Nolasco, Fernando, Pereira, Amalia, Roque, Cristina, Rosario, Francisco, Silva, Gil, Silva, Ana, Teixeira e Costa, Fernando, Lobos, Ana Vila, Alves, Ana Rita, Brandao, Ilidio, Carvalho, Rui, Coelho, Joao, Lourenco, Ana, Matos, Pedro, Rosario, Vanisa, Neves, Joao Sergio, Cortes-Maisonet, Gregorio, Roman-Miranda, Amaury, Brito-Peguero, Yudit, Colon-Vega, Gildred, Albota, Adrian, Bala, Cornelia, Barbonta, Hortensia, Caceaune, Elena, Catrinoui, Doina, Constantin, Ciprian, Dumitrescu, Adriana, Mindrescu, Nicoleta, Mistode, Cristina, Negrisanu, Gabriela, Onaca, Adriana, Paveliu, Silvia, Pintilei, Ella, Pop, Lavinia, Popa, Amorin, Popescu, Alexandrina, Radulian, Gabriela, Szilagyi, Iosif, Turcu, Liana, Vacaru, Georgeta, Vlad, Adrian, Filimon, Adriana, Veresiu, Ioan, Antsiferov, Mikhail, Arkhipov, Mikhail, Babkin, Andrey, Barbarash, Olga, Baranov, Vitaliy, Chernyavskaya, Elena, Demko, Arkadiy, Dreval, Alexander, Edin, Anton, Ermakova, Polina, Fadeev, Valentin, Galyavich, Albert, Gaysina, Leyla, Gordeev, Ivan, Ipatko, Irina, Kalashnikova, Marina, Khalimov, Yuriy, Klimontov, Vadim, Kobalava, Zhanna, Kosmacheva, Elena, Koziolova, Natalya, Sergey Levashov, Lyudmila Kvitkova, Libis, Roman, Marasaev, Vyacheslav, Malykh, Natalia, Martynenko, Vladimir, Malyutina, Sofya, Merai, Imad, Mkrtumyan, Ashot, Nechaeva, Galina, Petunina, Nina, Palyutin, Shamil, Pimenov, Leonid, Rechkova, Elena, Rodionova, Tatyana, Rymar, Oksana, Sardinov, Ruslan, Semenova, Olga, Sherenkov, Alexander, Solovev, Oleg, Smolyarchuk, Elena, Strongin, Leonid, Ukhanova, Olga, Verlan, Nadezhda, Vorokhobina, Natalya, Yakhontov, Davyd, Yakushin, Sergey, Zakharova, Elena, Zalevskaya, Alsu, Zanozina, Olga, Zhdanova, Elena, Zhukova, Larisa, Zykova, Tatyana, Argunova, Yulia, Nikolaev, Konstantin, Villevalde, Svetlana, Fang Sum, Chee, Suhail, Sufi Muhummad, San Tan, Ru, Vathsala, Anantharaman, Wong, Edmund, Bee, Yong Mong, Babikova, Jana, Buganova, Ingrid, Dzupina, Andrej, Ochodnicka, Zuzana, Sosovec, Dalibor, Spodniakova, Denisa, Minarik, Peter, Fayzal Ahmed, Amod, Aslam, Bhana, Sindeep, Distiller, Larry, Jansen van Rensburg, Dirkie, Joshi, Mukesh, Joshi, Shaifali, Lakha, Deepak, Mitha, Essack, Podgorski, Gracjan, Ranjith, Naresh, Rayner, Brian, Rheeder, Paul, Sarvan, Mohamed, Seeber, Mary, Siebert, Heidi, Tayob, Mohammed, Trokis, Julien, Urbach, Dorothea, van Zyl, Louis, Jansen van Rensburg, Dirkie, Bum-Soon Choi, Choi, Moon Gi, Chung, ChoonHee, Hwang, YouCheol, Kim, ChongHwa, Kim, InJoo, Kim, JaeHyeon, Kim, SinGon, Kim, SungGyun, Kim, Tae Hee, Lee, WooJe, Lee, ByungWan, Lee, Kang Wook, Oh, Kook-Hwan, Oh, Ji Eun, Oh, Yun Kyu, Oh, Dong-Jin, Park, Junbeom, Shin, Seok Joon, Sung, Su-Ah, Yu, Jae Myung, Chung, HyeSoo, Huh, Ji Hye, Kang, JunGoo, Kim, ChulSik, Kim, HyeSoon, Kim, NamHoon, Lim, Soo, Cho, Young Min, Park, Cheol Young, Agraz, Irene, Ampudia, Francisco Javier, Bouarich, Hanane, Calero, Francesca, Castro, Cristina, Guldris, Secundino Cigarrán, Garrit, Josep Cruzado, de Álvaro, Fernando, Galcerán, Josep, Albarrán, Olga González, Jaras, Julio Hernández, Ibernón, Meritxell, Deben, Francisco Martínez, Ma, Esteban, Dolores Martínez, Pascual Izuel, José María, Martins, Judith, Mediavilla, Juan, Michán, Alfredo, Santos, Julio Pascual, Poch, Esteban, Rusillo, Manuel Polaina, Juan, Carlos Sánchez, Olmo, Rafael Santamaría, Segura de la Morena, José Julián, Soto, Alfonso, Troya, Maribel, Castro, Fernando Cereto, Fernández, Pablo Gómez, Sánchez, Laura Fuentes, Moya, Mercedes González, Marrero, Domingo Hernández, Maroto, Gonzalo Piedrola, Redón, Josep, Seron, Daniel, Bruchfeld, Annette, Curiac, Dan, Eliasson, Ken, Frank, Malin, Guron, Gregor, Hellberg, Olof, Hellgren, Margareta, Larnefeldt, Hans, Lindholm, Carl-Johan, Löndahl, Magnus, Rein-Hedin, Erik, Soveri, Inga, Spaak, Jonas, Tengmark, Bengt-Olov, Lif-Tiberg, Cornelia, Månflod, Johan, Nguyen, Han, Ackermann, Daniel, Bilz, Stefan, Burnier, Michel, Forster, Christian, Kalbermatter, Stefan, Kistler, Andreas, Pechère-Bertschi, Antoinette, Schultes, Bernd, Laimer, Markus, Rudofsky, Gottfried, Strey, Christopher, Wuerzner, Gregoire, Chiz-Tzung Chang, Hung, Cheng-Chieh, Jiang, Ju-Ying, Lee, Chien-Te, Lin, Shuei-Liong, Tarng, Der-Cherng, Tu, Shih-Te, Wu, Mai-Szu, Wu, Ming-Ju, Chuang, Lee-Ming, Deerochanawong, Chaicharn, Kitiyakara, Chagriya, Ophascharoensuk, Vuddhidej, Pongchaiyakul, Chatlert, Satirapoj, Bancha, Kosachunhanan, Natapong, Sritara, Piyamitr, Eren, Necmi, Gul, Ibrahim, Gulel, Okan, Kocyigit, Ismail, Kumbasar, Abdulbaki, Sahin, Idris, Sari, Ramazan, Sayin, Burak, Tavli, Talat, Ustundag, Sedat, Yenicerioglu, Yavuz, Badak, Ozer, Cayli, Murat, Oguz, Aytekin, Ozdogan, Oner, Sari, Ibrahim, Temizhan, Ahmet, Tigen, Mustafa, Turk, Ugur, Yilmaz, Huseyin, Yilmaz, Mehmet, Bondarets, Iryna, Botsyurko, Volodymyr, Chernikova, Viktoriia, Donets, Oleksandra, Fushtey, Ivan, Grachova, Mariia, Isayeva, Anna, Kogut, Dmytro, Komisarenko, Julia, Kravchun, Nonna, Malyar, Kateryna, Mankovsky, Borys, Martynyuk, Liliya, Maslyanko, Vitaliy, Myshanych, Halyna, Pererva, Larysa, Pertseva, Nataliia, Serhiyenko, Oleksandr, Smirnov, Ivan, Sokolova, Liubov, Stryzhak, Vasyl, Vlasenko, Maryna, Isayeva, Ganna, Larin, Oleksandr, Ahmad AbouSaleh, Barratt, Jonathan, Dang, Cuong, Kahal, Hassan, Kirk, Adam, Kilvert, Anne, Kon, Sui Phi, McCafferty, Kieran, Patel, Dipesh, Rice, Sam, Vijayaraman, Arutchelvam, Wong, Yuk-ki, Gibson, Martin, Wahba, Mona, Zaidi, Reza, Bilous, Rudy, Johnson, Andrew, Kalathil, Dhanya, Kilvert, Anne, Kyriakidou, Christina, Mathew, Amit, Mukhtar, Rasha, Munsoor, Imrozia, Poterajlo, Anton, Swift, Pauline, Idalia Acosta, Adams, Atoya, Adler, Sharon, Ajani, Dilawar, Ali, Slamat, Alicic, Radica, Al-Karadsheh, Amer, Alla, Sreedhara, Allison, D., Andrawis, Nabil, Arif, Ahmed, Awad, Ahmed, Azizad, Masoud, Bahrami, Michael, Bansal, Shweta, Barag, Steven, Barakzoy, Ahmad, Barney, Mark, Barzilay, Joshua, Bashir, Khalid, Bautista, Jose, Beddhu, Srinivasan, Belo, Diogo, Benjamin, Sabrina, Berenji, Ramin, Bhargava, Anuj, Birriel, Jose, Brietzke, Stephen, Brosius, Frank, Brusco, Osvaldo, Burgner, Anna, Busch, Robert, Canadas, Rafael, Caramori, Maria, Cardona, Jose, Case, Christopher, Cruz, Humberto, Dandillaya, Ramprasad, Dawoud, Dalia, Din, Zia, Dixon, Bradley, Doshi, Ankur, Drakakis, James, El Shahawy, Mahfouz, El-Meanawy, Ashraf, El-Shahawy, Mohammed, Evans, John, Fadda, George, Farooq, Umar, Fernando, Roland, Fink, Raymond, First, Brian, Fitz-Patrick, David, Flack, John, Fluck, Patrick, Fogelfeld, Leon, Fonseca, Vivian, Frias, Juan, Galphin, Claude, Garcia-Mayol, Luis, Goldstein, Gary, Gonzalez, Edgar, Gonzalez-Abreu, Francisco, Gore, Ashwini, Grant, David, Habwe, Violet, Hamilton, Maxine, Hammoud, Jamal, Handelsman, Stuart, Hartman, Israel, Heigerick, Glenn, Henry, Andrew, Hernandez, German, Hernandez-Cassis, Carlos, Herrera, Carlos, Hertel, Joachim, Huang, Wenyu, Iglesias, Rogelio, Iranmanesh, Ali, Jackson, Timothy, Jain, Mahendra, Jamerson, Kenneth, Johnson, Karen, Judd, Eric, Kaplan, Joshua, Kayali, Zeid, Khan, Bobby, Khan, Muhammad, Kharait, Sourabh, Kirkman, M. Sue, Kopyt, Nelson, Kotzker, Wayne, Kovesdy, Csaba, Kreit, Camil, Krishna, Arvind, Kronfli, Saeed, Lee, Keung, LeJeune, Derek, Lemus, Brenda, Leon-Forero, Carlos, Linfert, Douglas, Lora, Henry, Lurie, Alexander, Maddukuri, Geetha, Magno, Alexander, Maletz, Louis, Mandayam, Sreedhar, Markell, Mariana, Mayfield, Ronald, Mbogua, Caroline, McMullen, Dierdre, Meisner, Carl, Minton, Stephen, Mocherla, Bharat, Mohandas, Rajesh, Montero, Manuel, Moustafa, Moustafa, Nadkarni, Salil, Nakhle, Samer, Navarro, Jesus, Neyra, Nilda, Nica, Romanita, Nicol, Philip, Norwood, Paul, Numrungroad, Visal, Donovan, Richard O′, Odugbesan, A., Paoli-Bruno, Jorge, Parikh, Samir, Patel, Rakesh, Peixoto, Aldo, Pergola, Pablo, Perlman, Alan, Pettis, Karlton, Pisoni, Roberto, Ponduchi, Mirela, Posada, Jorge, Prabhakar, Sharma, Radhakrishnan, Jai, Rahman, Mahboob, Raina, Rupesh, Rastogi, Anjay, Reisin, Efrain, Rendell, Marc, Robertson, David, Rocco, Michael, Romeu, Hugo, Rosas, Sylvia, Rosenfeld, Jack, Ross, Dennis, Rothman, Jeffrey, Rudolph, Lance, Ruhullah, Yusuf, Ruoff, Gary, Ryu, Jeffrey, Sahani, Mandeep, Sam, Ramin, Samuels, Garfield, Sanchez, William, Santos, Vladimir, Satko, Scott, Saxena, Sanjeev, Scott, David, Seco, Gilberto, Seek, Melvin, Serota, Harvey, Shafi, Tariq, Shahid, Nauman, Shanik, Michael, Sharma, Santosh, Sinha, Arjun, Smelser, James, Smith, Mark, Soe, Kyaw, Solomon, Richard, Soroka, Eugene, Soufer, Joseph, Spinowitz, Bruce, Spry, Leslie, Suarez, Rosa, Subramanian, Bala, Szerlip, Harold, Tamirisa, Aparna, Thomson, Stephen, Tran, Tuan-Huy, Treger, Richard, Trullenque, Gretel, Turk, Thomas, Umpierrez, Guillermo, Urbach, Daniel, Valdes, Martin, Valika, Shujauddin, Vega, Damaris, Weissman, Peter, Whaley-Connell, Adam, Winston, Jonathan, Wise, Jonathan, Wynne, Alan, Zeig, Steven, Abdel-Rahman, Emaad, Abreu, Edel, Awad, Alaa, Bahri, Nader, Bertsch, John, Bleich, David, Bornfreund, Jonathan, Brar, Harjeet, Brian, Susan, Brinson, Cynthia, Bruschetta, Humberto, Carpio, Jose, Cohen, Steven, Cosby, John, Dhanireddy, Soni, Diaz, Jorge, Dunn, Fredrick, Eppanapally, Sabitha, Fayad, Joseph, Goel, Archana, Govindaraju, Kanakadurga, Halpern, Stephen, Jones, Audrey, Kaye, William, Knight, Herbert, Koch, Stanley, Kohli, Nandini, Lastra, Guido, Lerman, Sam, Loredo, Jorge, Lovre, Dragana, Mandviwala, Mustafa, Martin, Earl, Meyer, Jill, Murray, John, Oliver, David, Oparil, Suzanne, Penabad, Jesus, Pereira, Isabel, Popeil, Larry, Quesada, Gonzalo, Ramanathan, Kodangudi, Ramos-Gonez, Luis, Rastegar, Mandana, Rastogi, Padmashri, Rondon, Juan, Roy-Chaudhury, Prabir, Smith, David, Williamson, Don, Womack, Catherine, Yamout, Hala, Yuryev, Michael, Chu, Phuong, Van Hoang, Lam, Khanh, Tran, Phi Nga, Nguyen Thi, Son, Pham Nguyen, Tran, Lan Phuong, Le, Thuy Khuong, Nguyen, Boi Ngoc, Nguyen, Thao, Nui, Nguyen Minh, Nam, Tran Quang, and Tran, Kim Chi

Published
2023
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13. Investigating the Added Value of Beck's Depression Inventory in Atherosclerosis Prediction: Lessons from Paracelsus 10,000.

Author

Dienhart, Christiane, Aigner, Elmar, Iglseder, Bernhard, Frey, Vanessa, Gostner, Isabella, Langthaler, Patrick, Paulweber, Bernhard, Trinka, Eugen, and Wernly, Bernhard

Subjects
MENTAL illness, CAROTID artery ultrasonography, CARDIOVASCULAR diseases, BECK Depression Inventory, CEREBROVASCULAR disease, ATHEROSCLEROTIC plaque
Abstract

Background: Depression is the most common mental illness worldwide and generates an enormous health and economic burden. Furthermore, it is known to be associated with an elevated risk of arteriosclerotic cardiovascular diseases (ASCVD), particularly stroke. However, it is not a factor reflected in many ASCVD risk models, including SCORE2. Thus, we analysed the relationship between depression, ASCVD and SCORE2 in our cohort. Methods: We analysed 9350 subjects from the Paracelsus 10,000 cohort, who underwent both a carotid artery ultrasound and completed a Beck Depression Inventory (BDI) screening. Patients were categorised binomially based on the BDI score. Atherosclerotic carotid plaque or absence was dichotomised for logistic regression modelling. Odds ratios and adjusted relative risks were calculated using Stata. Results: Subjects with an elevated BDI (≥14) had higher odds for carotid plaques compared to subjects with normal BDI, especially after adjusting for classical risk factors included in SCORE2 (1.21; 95%CI 1.03–1.43, p = 0.023). The adjusted relative risk for plaques was also increased (1.09; 95%CI 1.01–1.18, p = 0.021). Subgroup analysis showed an increased odds of plaques with increases in depressive symptoms, particularly in women and patients ≤55 yrs. Conclusions: In our cohort, the BDI score is associated with subclinical atherosclerosis beyond classical risk factors. Thus, depression might be an independent risk factor which may improve risk stratification if considered in ASCVD risk prediction models, such as SCORE2. Furthermore, reminding clinicians to take mental health into consideration to identify individuals at increased atherosclerosis risk may provide added opportunities to address measures which can reduce the risk of ASCVD. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Nanopore sequencing with unique molecular identifiers enables accurate mutation analysis and haplotyping in the complex Lipoprotein(a) KIV-2 VNTR

Author

Amstler, Stephan, primary, Streiter, Gertraud, additional, Pfurtscheller, Cathrin, additional, Forer, Lukas, additional, Di Maio, Silvia, additional, Weissensteiner, Hansi, additional, Paulweber, Bernhard, additional, Schoenherr, Sebastian, additional, Kronenberg, Florian, additional, and Coassin, Stefan, additional

Published
2024
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16. Screening program in healthy individuals reveals a high prevalence of chronic hepatitis C in the general population of Austria

Author

Hofer, Hannah, primary, Bachmayer, Sebastian, additional, Oberthaler, Hannah, additional, Semmler, Georg, additional, Wernly, Sarah, additional, Gensluckner, Sophie, additional, Stangassinger, Lea Maria, additional, Wernly, Bernhard, additional, Rosenstatter, Lea, additional, Schwenoha, Karin, additional, Huber-Schönauer, Ursula, additional, Paulweber, Bernhard, additional, Aigner, Elmar, additional, Oostingh, Gertie Janneke, additional, and Datz, Christian, additional

Published
2024
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17. Prevalence and Characteristics of Metabolic Hyperferritinemia in a Population-Based Central-European Cohort

Author

Gensluckner, Sophie, primary, Wernly, Bernhard, additional, Koutny, Florian, additional, Strebinger, Georg, additional, Zandanell, Stephan, additional, Stechemesser, Lars, additional, Paulweber, Bernhard, additional, Iglseder, Bernhard, additional, Trinka, Eugen, additional, Frey, Vanessa, additional, Langthaler, Patrick, additional, Semmler, Georg, additional, Valenti, Luca, additional, Corradini, Elena, additional, Datz, Christian, additional, and Aigner, Elmar, additional

Published
2024
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18. Frequent LPA KIV-2 Variants Lower Lipoprotein(a) Concentrations and Protect Against Coronary Artery Disease

Author

Eckardt, Kai-Uwe, Meiselbach, Heike, Schneider, Markus P., Schiffer, Mario, Prokosch, Hans-Ulrich, Bärthlein, Barbara, Beck, Andreas, Reis, André, Ekici, Arif B., Becker, Susanne, Becker-Grosspitsch, Dinah, Alberth-Schmidt, Ulrike, Hausknecht, Birgit, Weigel, Anke, Walz, Gerd, Köttgen, Anna, Schultheiß, Ulla T., Kotsis, Fruzsina, Meder, Simone, Mitsch, Erna, Reinhard, Ursula, Floege, Jürgen, Saritas, Turgay, Schaeffner, Elke, Baid-Agrawal, Seema, Theisen, Kerstin, Haller, Hermann, Menne, Jan, Zeier, Martin, Sommerer, Claudia, Theilinger, Johanna, Wolf, Gunter, Busch, Martin, Paul, Rainer, Sitter, Thomas, Wanner, Christoph, Krane, Vera, Börner-Klein, Antje, Bauer, Britta, Kronenberg, Florian, Raschenberger, Julia, Kollerits, Barbara, Forer, Lukas, Schönherr, Sebastian, Weissensteiner, Hansi, Oefner, Peter, Gronwald, Wolfram, Schmid, Matthias, Nadal, Jennifer, Schachtl-Riess, Johanna F., Kheirkhah, Azin, Grüneis, Rebecca, Di Maio, Silvia, Schoenherr, Sebastian, Streiter, Gertraud, Losso, Jamie Lee, Paulweber, Bernhard, Lamina, Claudia, and Coassin, Stefan

Published
2021
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19. Anti-interleukin-21 antibody and liraglutide for the preservation of β-cell function in adults with recent-onset type 1 diabetes: a randomised, double-blind, placebo-controlled, phase 2 trial

Author

Ludvik, Bernhard, Prager, Rudolf, Paulweber, Bernhard, Ebenbichler, Christoph F, Keymeulen, B, De Block, C, Grossman, Loren, Houlden, Robyn, Perron, Patrice, Ransom, Thomas, Senior, Peter, Weisnagel, S. John, Woo, Vincent, Dumas, Richard, Thompson, David, Vilsbøll, Tina, Gram, Jeppe, Juhl, Claus Bogh, Hukkanen, Janne, Lahtela, Jorma, Niskanen, Leo, O'Shea, Donal, O'Brien, Timothy, Sreenan, Seamus, Wainstein, Julio, Phillip, Moshe, Knobler, Hilla, Dotta, Francesco, Piatti, Pier Marco, Roberto, Trevisan, Gnasso, Agostino, Gulseth, Hanne, Cooper, John, Pankowska, Ewa, Lukaszewicz, Monika, Wolnik, Bogumił, Manita, Isabel, Marques, Olinda, Roque, Cristina, Príncipe, Rosa Maria, Neves, Celestino, Heitor, Susana, Ruyatkina, L, Dvoryashina, Irina, Vagapova, Gulnar, Belousova, Lidiya, Sergeeva-Kondrachenko, Marina, Peskov, Andrey, Frolova, Elena, Golovach, Albina, Kunitsyna, Marina, Krasnopeeva (Kabachkova), Natalia, Ipatko, Irina, De la Cuesta, Carmen, Tinahones, Francisco José, Rigla, Mercedes, Merino, Juan Francisco, Gómez, Luis Alberto, Fernández, Mercè, Simó, Rafael, Rydén, Mikael, Jendle, Johan, Filipsson, Karin, Eliasson, Björn, Mankovsky, Borys, Lymar, Iurii, Sokolova, Liubov, Myshanych, Galyna, Zlova, Tetiana, Vlasenko, Maryna, Kuskalo -, Petro, Courtney, Hamish, Dayan, Colin, English, Patrick, Heller, Simon, Johnson, Andrew B, Nair, Sunil, Leslie, R. D, Narendran, P, Oliver, Nick, Ramtoola, Shenaz, Shaw, Jim, Viljoen -, Adie, Al-Karadsheh, Amer, Dostou, Jean Marie, Gangi, Sumana, Gottlieb, Peter, Jerkins, Terri, Magnotti, Michael, Marks, Jennifer, Nakhle, Samer, Bonabi, Gholamreza, Myers, Lyle, Pratley, Richard, Hagopian, William, Pettus, Jeremy, von Scholten, Bernt Johan, Wesley, Johnna D, Kreiner, Frederik F, von Herrath, Matthias, Bain, Stephen C, Bode, Bruce, Clausen, Jesper Ole, Coppieters, Ken, Gaysina, Leylya, Gumprecht, Janusz, Hansen, Troels Krarup, Mathieu, Chantal, Morales, Cristobal, Mosenzon, Ofri, Segel, Stine, Tsoukas, George, and Pieber, Thomas R

Published
2021
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22. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.

Author

Pattaro, Cristian, Teumer, Alexander, Gorski, Mathias, Chu, Audrey Y, Li, Man, Mijatovic, Vladan, Garnaas, Maija, Tin, Adrienne, Sorice, Rossella, Li, Yong, Taliun, Daniel, Olden, Matthias, Foster, Meredith, Yang, Qiong, Chen, Ming-Huei, Pers, Tune H, Johnson, Andrew D, Ko, Yi-An, Fuchsberger, Christian, Tayo, Bamidele, Nalls, Michael, Feitosa, Mary F, Isaacs, Aaron, Dehghan, Abbas, d'Adamo, Pio, Adeyemo, Adebowale, Dieffenbach, Aida Karina, Zonderman, Alan B, Nolte, Ilja M, van der Most, Peter J, Wright, Alan F, Shuldiner, Alan R, Morrison, Alanna C, Hofman, Albert, Smith, Albert V, Dreisbach, Albert W, Franke, Andre, Uitterlinden, Andre G, Metspalu, Andres, Tonjes, Anke, Lupo, Antonio, Robino, Antonietta, Johansson, Åsa, Demirkan, Ayse, Kollerits, Barbara, Freedman, Barry I, Ponte, Belen, Oostra, Ben A, Paulweber, Bernhard, Krämer, Bernhard K, Mitchell, Braxton D, Buckley, Brendan M, Peralta, Carmen A, Hayward, Caroline, Helmer, Catherine, Rotimi, Charles N, Shaffer, Christian M, Müller, Christian, Sala, Cinzia, van Duijn, Cornelia M, Saint-Pierre, Aude, Ackermann, Daniel, Shriner, Daniel, Ruggiero, Daniela, Toniolo, Daniela, Lu, Yingchang, Cusi, Daniele, Czamara, Darina, Ellinghaus, David, Siscovick, David S, Ruderfer, Douglas, Gieger, Christian, Grallert, Harald, Rochtchina, Elena, Atkinson, Elizabeth J, Holliday, Elizabeth G, Boerwinkle, Eric, Salvi, Erika, Bottinger, Erwin P, Murgia, Federico, Rivadeneira, Fernando, Ernst, Florian, Kronenberg, Florian, Hu, Frank B, Navis, Gerjan J, Curhan, Gary C, Ehret, George B, Homuth, Georg, Coassin, Stefan, Thun, Gian-Andri, Pistis, Giorgio, Gambaro, Giovanni, Malerba, Giovanni, Montgomery, Grant W, Eiriksdottir, Gudny, Jacobs, Gunnar, Li, Guo, Wichmann, H-Erich, Campbell, Harry, and Schmidt, Helena

Subjects
ICBP Consortium, AGEN Consortium, CARDIOGRAM, CHARGe-Heart Failure Group, ECHOGen Consortium, Humans, Genetic Predisposition to Disease, Gene Expression Regulation, Genotype, Renal Insufficiency, Chronic, Genome-Wide Association Study, Renal Insufficiency, Chronic
Abstract

Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.

Published
2016

24. Prevalence of Subclinical Cardiovascular Disease in Patients with Nonalcoholic Fatty Liver Disease: Analysis of the Paracelsus 10,000 Cohort Study

Author

Koutny, Florian, primary, Aigner, Elmar, additional, Datz, Christian, additional, Gensluckner, Sophie, additional, Maieron, Andreas, additional, Mega, Andrea, additional, Iglseder, Bernhard, additional, Langthaler, Patrick, additional, Frey, Vanessa, additional, Paulweber, Bernhard, additional, Trinka, Eugen, additional, and Wernly, Bernhard, additional

Published
2023
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25. The Role of Nutraceuticals in Statin Intolerant Patients

Author

Banach, Maciej, Patti, Angelo Maria, Giglio, Rosaria Vincenza, Cicero, Arrigo F.G., Atanasov, Atanas G., Bajraktari, Gani, Bruckert, Eric, Descamps, Olivier, Djuric, Dragan M., Ezhov, Marat, Fras, Zlatko, von Haehling, Stephan, Katsiki, Niki, Langlois, Michel, Latkovskis, Gustavs, Mancini, G.B. John, Mikhailidis, Dimitri P., Mitchenko, Olena, Moriarty, Patrick M., Muntner, Paul, Nikolic, Dragana, Panagiotakos, Demosthenes B., Paragh, Gyorgy, Paulweber, Bernhard, Pella, Daniel, Pitsavos, Christos, Reiner, Željko, Rosano, Giuseppe M.C., Rosenson, Robert S., Rysz, Jacek, Sahebkar, Amirhossein, Serban, Maria-Corina, Vinereanu, Dragos, Vrablík, Michal, Watts, Gerald F., Wong, Nathan D., and Rizzo, Manfredi

Published
2018
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27. Insulintherapie bei Typ 2 Diabetes mellitus (Update 2019)

Author

Lechleitner, Monika, Clodi, Martin, Abrahamian, Heidemarie, Brath, Helmut, Brix, Johanna, Drexel, Heinz, Fasching, Peter, Föger, Bernhard, Francesconi, Claudia, Fröhlich-Reiterer, Elke, Harreiter, Jürgen, Hofer, Sabine E., Hoppichler, Friedrich, Huber, Joakim, Kaser, Susanne, Kautzky-Willer, Alexandra, Ludvik, Bernhard, Luger, Anton, Mader, Julia K., Paulweber, Bernhard, Pieber, Thomas, Prager, Rudolf, Rami-Merhar, Birgit, Resl, Michael, Riedl, Michaela, Roden, Michael, Saely, Christoph H., Schelkshorn, Christian, Schernthaner, Guntram, Sourij, Harald, Stechemesser, Lars, Stingl, Harald, Toplak, Hermann, Wascher, Thomas C., Weitgasser, Raimund, Winhofer-Stöckl, Yvonne, and Zlamal-Fortunat, Sandra

Published
2019
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29. Antihyperglykämische Therapie bei Diabetes mellitus Typ 2 (Update 2019)

Author

Clodi, Martin, Abrahamian, Heidemarie, Brath, Helmut, Brix, Johanna, Drexel, Heinz, Fasching, Peter, Föger, Bernhard, Francesconi, Claudia, Fröhlich-Reiterer, Elke, Harreiter, Jürgen, Hofer, Sabine E., Hoppichler, Friedrich, Huber, Joakim, Kaser, Susanne, Kautzky-Willer, Alexandra, Lechleitner, Monika, Ludvik, Bernhard, Luger, Anton, Mader, Julia K., Paulweber, Bernhard, Pieber, Thomas, Prager, Rudolf, Rami-Merhar, Birgit, Resl, Michael, Riedl, Michaela, Roden, Michael, Saely, Christoph H., Schelkshorn, Christian, Schernthaner, Guntram, Sourij, Harald, Stechemesser, Lars, Stingl, Harald, Toplak, Hermann, Wascher, Thomas C., Weitgasser, Raimund, Winhofer-Stöckl, Yvonne, and Zlamal-Fortunat, Sandra

Published
2019
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30. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.

Author

Dastani, Zari, Hivert, Marie-France, Timpson, Nicholas, Perry, John RB, Yuan, Xin, Scott, Robert A, Henneman, Peter, Heid, Iris M, Kizer, Jorge R, Lyytikäinen, Leo-Pekka, Fuchsberger, Christian, Tanaka, Toshiko, Morris, Andrew P, Small, Kerrin, Isaacs, Aaron, Beekman, Marian, Coassin, Stefan, Lohman, Kurt, Qi, Lu, Kanoni, Stavroula, Pankow, James S, Uh, Hae-Won, Wu, Ying, Bidulescu, Aurelian, Rasmussen-Torvik, Laura J, Greenwood, Celia MT, Ladouceur, Martin, Grimsby, Jonna, Manning, Alisa K, Liu, Ching-Ti, Kooner, Jaspal, Mooser, Vincent E, Vollenweider, Peter, Kapur, Karen A, Chambers, John, Wareham, Nicholas J, Langenberg, Claudia, Frants, Rune, Willems-Vandijk, Ko, Oostra, Ben A, Willems, Sara M, Lamina, Claudia, Winkler, Thomas W, Psaty, Bruce M, Tracy, Russell P, Brody, Jennifer, Chen, Ida, Viikari, Jorma, Kähönen, Mika, Pramstaller, Peter P, Evans, David M, St Pourcain, Beate, Sattar, Naveed, Wood, Andrew R, Bandinelli, Stefania, Carlson, Olga D, Egan, Josephine M, Böhringer, Stefan, van Heemst, Diana, Kedenko, Lyudmyla, Kristiansson, Kati, Nuotio, Marja-Liisa, Loo, Britt-Marie, Harris, Tamara, Garcia, Melissa, Kanaya, Alka, Haun, Margot, Klopp, Norman, Wichmann, H-Erich, Deloukas, Panos, Katsareli, Efi, Couper, David J, Duncan, Bruce B, Kloppenburg, Margreet, Adair, Linda S, Borja, Judith B, DIAGRAM+ Consortium, MAGIC Consortium, GLGC Investigators, MuTHER Consortium, Wilson, James G, Musani, Solomon, Guo, Xiuqing, Johnson, Toby, Semple, Robert, Teslovich, Tanya M, Allison, Matthew A, Redline, Susan, Buxbaum, Sarah G, Mohlke, Karen L, Meulenbelt, Ingrid, Ballantyne, Christie M, Dedoussis, George V, Hu, Frank B, Liu, Yongmei, Paulweber, Bernhard, Spector, Timothy D, Slagboom, P Eline, Ferrucci, Luigi, and Jula, Antti

Subjects
DIAGRAM+ Consortium, MAGIC Consortium, GLGC Investigators, MuTHER Consortium, DIAGRAM Consortium, GIANT Consortium, Global B Pgen Consortium, Procardis Consortium, MAGIC investigators, GLGC Consortium, Humans, Diabetes Mellitus, Type 2, Insulin Resistance, Genetic Predisposition to Disease, Glucose Tolerance Test, Waist-Hip Ratio, Gene Expression, Polymorphism, Single Nucleotide, African Americans, Asian Continental Ancestry Group, European Continental Ancestry Group, Female, Male, Adiponectin, Cholesterol, HDL, Metabolic Networks and Pathways, Genome-Wide Association Study, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, Cholesterol, HDL, Genetics, Developmental Biology
Abstract

Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p

Published
2012

31. Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD.

Author

Böger, Carsten A, Gorski, Mathias, Li, Man, Hoffmann, Michael M, Huang, Chunmei, Yang, Qiong, Teumer, Alexander, Krane, Vera, O'Seaghdha, Conall M, Kutalik, Zoltán, Wichmann, H-Erich, Haak, Thomas, Boes, Eva, Coassin, Stefan, Coresh, Josef, Kollerits, Barbara, Haun, Margot, Paulweber, Bernhard, Köttgen, Anna, Li, Guo, Shlipak, Michael G, Powe, Neil, Hwang, Shih-Jen, Dehghan, Abbas, Rivadeneira, Fernando, Uitterlinden, André, Hofman, Albert, Beckmann, Jacques S, Krämer, Bernhard K, Witteman, Jacqueline, Bochud, Murielle, Siscovick, David, Rettig, Rainer, Kronenberg, Florian, Wanner, Christoph, Thadhani, Ravi I, Heid, Iris M, Fox, Caroline S, Kao, WH, and CKDGen Consortium

Subjects
CKDGen Consortium, Humans, Kidney Diseases, Kidney Failure, Chronic, Chronic Disease, Creatinine, Adaptor Proteins, Signal Transducing, Follow-Up Studies, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Male, Genetic Association Studies, Uromodulin, ErbB Receptors, Kidney Disease, Genetics, Clinical Research, Renal and urogenital, Developmental Biology
Abstract

Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR

Published
2011

32. The platelet transcriptome and proteome in Alzheimer’s disease and aging: an exploratory cross-sectional study

Author

de Sousa, Diana M. Bessa, primary, Poupardin, Rodolphe, additional, Villeda, Saul A., additional, Schroer, Adam B., additional, Fröhlich, Thomas, additional, Frey, Vanessa, additional, Staffen, Wolfgang, additional, Mrowetz, Heike, additional, Altendorfer, Barbara, additional, Unger, Michael S., additional, Iglseder, Bernhard, additional, Paulweber, Bernhard, additional, Trinka, Eugen, additional, Cadamuro, Janne, additional, Drerup, Martin, additional, Schallmoser, Katharina, additional, Aigner, Ludwig, additional, and Kniewallner, Kathrin M., additional

Published
2023
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34. Relationships between education and non-alcoholic fatty liver disease

Author

Koutny, Florian, primary, Paulweber, Bernhard, additional, Aigner, Elmar, additional, Datz, Christian, additional, Gensluckner, Sophie, additional, Maieron, Andreas, additional, Novati, Stefano, additional, Iglseder, Bernhard, additional, Langthaler, Patrik, additional, Frey, Vanessa, additional, Trinka, Eugen, additional, and Wernly, Bernhard, additional

Published
2023
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35. Corrigendum to “Ethyl glucuronide in hair detects a high rate of harmful alcohol consumption in presumed non-alcoholic fatty liver disease” [J Hepatol 77 (2022) 918–930]

Author

Staufer, Katharina, primary, Huber-Schönauer, Ursula, additional, Strebinger, Georg, additional, Pimingstorfer, Philipp, additional, Suesse, Silke, additional, Scherzer, Thomas-Matthias, additional, Paulweber, Bernhard, additional, Ferenci, Peter, additional, Stimpfl, Thomas, additional, Yegles, Michel, additional, Datz, Christian, additional, and Trauner, Michael, additional

Published
2023
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36. 3 years of liraglutide versus placebo for type 2 diabetes risk reduction and weight management in individuals with prediabetes: a randomised, double-blind trial

Author

Hamann, Andreas, Barakat, Alain, Blüher, Matthias, Linn, Thomas, Mölle, Andrea, Segner, Alexander, Stübler, Petra, Tosch-Sisting, Regina, Pacini, Furio, Santini, Ferruccio, Marchesini, Giulio, Rotella, Carlo Maria, Invitti, Cecilia, Vettor, Roberto, Buscemi, Silvio, Raya, Pedro Mezquita, Freijoo, Felipe Casanueva, de Barbará, Ramón Gomis, Carraro, Raffaele, Bobillo, Enrique Romero, de la Cuesta, Carmen, Farsang, Csaba, Csaszar, Albert, Zahorska-Markiewicz, Barbara, Pupek-Musialik, Danuta, Franek, Edward, Ostrowska, Lucyna, Olszanecka-Glinianowicz, Magdalena, Lalic, Nebojsa, Micic, Dragan, Ludvik, Bernhard, Paulweber, Bernhard, Prager, Rudolf, Scheen, André, Van Gaal, Luc, Astrup, Arne Vernon, Hermansen, Kjeld, Madsbad, Sten, Rissanen, Aila, Nieminen, Sakari, Savolainen, Markku, Krempf, Michel, Romon, Monique, Laville, Martine, Marre, Michel, Mira, Reginald, Finucane, Francis, Veenendaal, Aletha, van Berkum, Frank, Johannsson-Vidarsdóttir, Solrun, Van de Walle, Vivienne, Meesters, Eelco, Hjelmesæth, Jøran, Klemsdal, Tor Ole, Kulseng, Bård, Bach-Kliegel, Birgit, Laederach, Kurt, Villiger, Lukas, Golay, Alain, Bilz, Stefan, Sathyapalan, Thozhukat, Bain, Stephen, Kumar, Sudesh, Le Roux, Carel Wynard, Lean, Michael E.J., McGowan, Barbara, Rehman, Tariq, Wilding, John, Wittert, Gary, Caterson, Ian, Proietto, Joeseph, Prins, John, Neto, Bruno Geloneze, Gross, Jorge Luiz, Chacra, Antonio Roberto, Halpern, Alfredo, de Almeida Suplicy, Henrique, Chow, Francis Chun Chung, Thacker, Hemant P, Chadha, Manoj, Chandalia, Hemaraj, Unnikrishnan, Ambika, Kalra, Sanjay, Deshpande, Neeta, Shunmugavelu, Minakshi, Deshmukh, Vaishali Chetan, Maislos, Maximo, Lieberman, Gabriella Segal, Shimon, Ilan, Stern, Naftali, Nabriski, Dan, Karnieli, Eddy, Shehadeh, Naim, Gonzalez-Galvez, Guillermo, del Rosario Arechavaleta-Granell, Maria, Ortiz, Rafael Margarito Violante, Franco, Guadalupe Morales, Gurieva, Irina, Suplotova, Lyudmila Aleksandrovna, Troshina, Ekaterina, Ruyatkina, Ludmila Aleksandrovna, Voychik, Emma Anatolievna, Martsevich, Sergey, Startseva, Maria A, Seeber, Mary Elizabeth, Badat, Aysha, Ellis, Graham, Altuntas, Yuksel, Guler, Serdar, Ulgen, Ender, Delibasi, Tuncay, Chetty, Tony, Hart, Randy, Janzen, Jeannette, Labonte, Isabelle, Lau, David, Liutkus, Joanne, O'Keefe, Dennis, Padwal, Raj, Ransom, Thomas P.P., Tytus, Richard, Weisnagel, Stanley John, Adler, Jay, Aqua, Keith, Aronoff, Stephen L, Bedel, Gary W., Blevins, Thomas Craig, Blumenau, Joe, Brockmyre, Andrew Peter, Call, Robert S, Canadas, Rafael, Chaykin, Louis B, Cohen, Kenneth, Conrow, Jeffrey Keith, Davis, Matthew G, Downey, H Jackson, Drosman, Steven Richard, Duckor, Steven, Farmer, H. Frank, Farrell, James, Fehnel, Stephen, Finneran, Matthew Patrick, Forbes, Ray, Forker, Alan, Fredrick, Mark, Fujioka, Ken, Geller, Steven Andrew, Gill, Santosh, Glaser, Linda, Greco, Susan Neims, Greenway, Frank Lyons, Harper, Wayne, Herman, Lee, Hoekstra, John, Ingebretsen, Richard, Ison, Rodney, Jain, Rajeev K, Kaplan, Roy, Kaster, Steven Richard, Haase, Gregory A, Kerzner, Boris, Kirstein, Judith Lee, Koltun, William, Krieger, Diane R, Lewis, Cora Elizabeth, Madder, Robert, Marple, Richard N, McDermott, Edward J, Mello, Curtis John, Miller, Alan B., Mullen, Julie, Nardandrea, John, O'Neil, Patrick, Pi-Sunyer, F. Xavier, Pucillo, Ronald M, Rhee, Chanhaeng, Redrick, Scott, Pardini, Aaron, Rothman, Jeffrey, Rubino, Domenica Marie, Sellers, Gladstone, Smith, Timothy, Byars, William David, Soufer, Joseph, Sussman, Allen Michael, Patrick, Kyle, Schramm, Erich Lloyd, Van Cleeff, Martin, Berg, Saul Reuel, Wyatt, Holly Roxanna, Simon, James Alan, le Roux, Carel W, Astrup, Arne, Greenway, Frank, Lau, David C W, Ortiz, Rafael Violante, Wilding, John P H, Skjøth, Trine V, Manning, Linda Shapiro, and Pi-Sunyer, Xavier

Published
2017
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37. Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism

Author

Stechemesser, Lars, Eder, Sebastian K., Wagner, Andrej, Patsch, Wolfgang, Feldman, Alexandra, Strasser, Michael, Auer, Simon, Niederseer, David, Huber-Schönauer, Ursula, Paulweber, Bernhard, Zandanell, Stephan, Ruhaltinger, Sandra, Weghuber, Daniel, Haschke-Becher, Elisabeth, Grabmer, Christoph, Rohde, Eva, Datz, Christian, Felder, Thomas K., and Aigner, Elmar

Published
2017
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40. Antihyperglycemic treatment guidelines for diabetes mellitus type 2 (Update 2023)

Author

Clodi, Martin, primary, Abrahamian, Heidemarie, additional, Brath, Helmut, additional, Schernthaner, Guntram, additional, Brix, Johann, additional, Ludvik, Bernhard, additional, Drexel, Heinz, additional, Saely, Christoph H., additional, Fasching, Peter, additional, Rega-Kaun, Gersina, additional, Föger, Bernhard, additional, Francesconi, Claudia, additional, Fröhlich-Reiterer, Elke, additional, Kautzky-Willer, Alexandra, additional, Harreiter, Jürgen, additional, Luger, Anton, additional, Resl, Michael, additional, Riedl, Michaela, additional, Winhofer, Yvonne, additional, Hofer, Sabine E., additional, Hoppichler, Friedrich, additional, Huber, Joakim, additional, Kaser, Susanne, additional, Ress, Claudia, additional, Lechleitner, Monika, additional, Aberer, Felix, additional, Mader, Julia K., additional, Sourij, Harald, additional, Toplak, Hermann, additional, Paulweber, Bernhard, additional, Stechemesser, Lars, additional, Pieber, Thomas, additional, Prager, Rudolf, additional, Stingl, Harald, additional, Stulnig, Thomas, additional, Rami-Merhar, Birgit, additional, Roden, Michael, additional, Schelkshorn, Christian, additional, Wascher, Thomas C., additional, Weitgasser, Raimund, additional, and Zlamal-Fortunat, Sandra, additional

Published
2023
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41. Update of the effect estimates for common variants associated with carotid intima media thickness within four independent samples: The Bonn IMT Family Study, the Heinz Nixdorf Recall Study, the SAPHIR Study and the Bruneck Study

Author

Geisel, Marie H., Coassin, Stefan, Heßler, Nicole, Bauer, Marcus, Eisele, Lewin, Erbel, Raimund, Haun, Margot, Hennig, Frauke, Moskau-Hartmann, Susanna, Hoffmann, Barbara, Jöckel, Karl-Heinz, Kedenko, Lyudmyla, Kiechl, Stefan, Kollerits, Barbara, Mahabadi, Amir-Abbas, Moebus, Susanne, Nürnberg, Gudrun, Nürnberg, Peter, Paulweber, Bernhard, Vens, Maren, Willeit, Johann, Willeit, Karin, Klockgether, Thomas, Ziegler, Andreas, Scherag, André, and Kronenberg, Florian

Published
2016
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42. Reduction in the risk of peripheral neuropathy and lower decrease in kidney function with metformin, linagliptin or their fixed-dose combination compared to placebo in prediabetes : a randomized controlled trial

Author

Gabriel-Sanchez, Rafael, Boukichou-Abdelkader, Nisa, Gilis-Januszewska, Aleksandra, Makrilakis, Konstantinos, Gómez-Huelgas, Ricardo, Kamenov, Zdravko, Paulweber, Bernhard, Satman, Ilhan, Djordjevic, Predrag, Alkandari, Abdullah, Mitrakou, Asimina, Lalic, Nebojsa, Egido, Jesús, Más-Fontao, Sebastián, Calvet, Jean Henri, Pastor, José Carlos, Lindström, Jaana, Lind, Marcus, Acosta, Tania, Silva, Luis, Tuomilehto, Jaakko, E-Predice Consortium, Unión Europea. Comisión Europea. 7 Programa Marco, Boehringer Ingelheim Fonds, Merck KGaA, and Instituto de Salud Carlos III

Subjects
peripheral neuropathy risk, Lifestyle intervention, Antidiabetic drugs, Glomerular filtration, glomerular filtration, antidiabetic drugs, lifestyle intervention, General Medicine, prediabetes, Peripheral neuropathy risk, Prediabetes
Abstract

Objective: To compare the effect of glucose-lowering drugs on peripheral nerve and kidney function in prediabetes. Methods: Multicenter, randomized, placebo-controlled trial in 658 adults with prediabetes treated for 1 year with metformin, linagliptin, their combination or placebo. Endpoints are small fiber peripheral neuropathy (SFPN) risk estimated by foot electrochemical skin conductance (FESC < 70 μSiemens) and estimated glomerular filtration rate (eGFR). Results: Compared to the placebo, the proportion of SFPN was reduced by 25.1% (95% CI:16.3-33.9) with metformin alone, by 17.3% (95% CI 7.4-27.2) with linagliptin alone, and by 19.5% (95% CI 10.1-29.0) with the combination linagliptin/metformin (p < 0.0001 for all comparisons). eGFR remained +3.3 mL/min (95% CI: 0.38-6.22) higher with the combination linagliptin/metformin than with the placebo (p = 0.03). Fasting plasma glucose (FPG) decreased more with metformin monotherapy -0.3 mmol/L (95%CI: -0.48; 0.12, p = 0.0009) and with the combination metformin/linagliptin -0.2 mmol/L (95% CI: -0.37; -0.03) than with the placebo (p = 0.0219). Body weight (BW) decreased by -2.0 kg (95% CI: -5.65; -1.65, p = 0.0006) with metformin monotherapy, and by -1.9 kg (95% CI: -3.02; -0.97) with the combination metformin/linagliptin as compared to the placebo (p = 0.0002). Conclusions: in people with prediabetes, a 1 year treatment with metformin and linagliptin, combined or in monotherapy, was associated with a lower risk of SFPN, and with a lower decrease in eGFR, than treatment with placebo. This research was funded by European Commission, FP7 EC-GA No. 279074; Boehringher Ingelheim, Ingelheim am Rhein, Germany (IIS Program. Grant number 1218.166); Merck Healthcare KGaA, Darmstadt, Germany (IIS number: EMR200084_621), Instituto de Salud Carlos III, Spain PI11/01653. The study funders were not involved in the design of the study, the collection, analysis and interpretation of data or writing the report and did not impose any restrictions regarding the publication of the report. Sí

Published
2023

43. Wiener klinische Wochenschrift volume / Lipide: Diagnostik und Therapie bei Diabetes mellitus (Update 2023)

Author

Clodi, Martin, Wascher, Thomas C., Paulweber, Bernhard, Toplak, Hermann, Saely, Christoph H., Drexel, Heinz, Föger, Bernhard, Hoppichler, Friedrich, Stulnig, Thomas, and Stingl, Harald

Subjects
Diabetes mellitus, Hyperlipidemia, Hyperlipidämie, Statine, Statins
Abstract

Hyper- und Dyslipidämie tragen zur kardiovaskulären Morbidität und Mortalität diabetischer Patienten bei. Überzeugende Daten zeigen, dass eine medikamentöse Therapie mit Statinen, Ezetimibe und PCSK9 Hemmern das kardiovaskuläre Risiko von Patienten mit Diabetes senken kann. Der vorliegende Artikel stellt die Behandlungsvorschläge der Österreichischen Diabetes Gesellschaft zum Einsatz lipidsenkender Medikamente dar. Hyper- and dyslipidemia contribute to cardiovascular morbidity and mortality in diabetic patients. Pharmacological therapy to lower LDL cholesterol has convincingly shown to reduce cardiovascular risk in diabetic patients. The present article represents the recommendations of the Austrian Diabetes Association for the use of lipid-lowering drugs in diabetic patients according to current scientific evidence. Version of record

Published
2023

44. Change in Metabolomic Profile Associated with an Average Increase in Plain Water Intake of >+ 1 L/Day, Sustained Over 4 Weeks, in Healthy Young Men with Initial Total Water Intake Below 2 L/Day

Author

Stookey, Jodi D., Paulweber, Bernhard, Felder, Thomas K., Lang, Florian, Häussinger, Dieter, Killilea, David W., Kuypers, Frans A., and Ritter, Markus

Subjects
Article
Abstract

BACKGROUND/AIMS: Cells adapt to chronic extracellular hypotonicity by altering metabolism. Corresponding effects of sustained hypotonic exposure at the whole-person level remain to be confirmed and characterized in clinical and population-based studies. This analysis aimed to 1) describe changes in urine and serum metabolomic profiles associated with four weeks of sustained > +1 L/d drinking water in healthy, normal weight, young men, 2) identify metabolic pathways potentially impacted by chronic hypotonicity, and 3) explore if effects of chronic hypotonicity differ by type of specimen and/or acute hydration condition. MATERIALS: Untargeted metabolomic assays were completed for specimen stored from Week 1 and Week 6 of the Adapt Study for four men (20-25 years) who changed hydration classification during that period. Each week, first-morning urine was collected after overnight food and water restriction, and urine (t+60 min) and serum (t+90 min) were collected after a 750 mL bolus of drinking water. Metaboanalyst 5.0 was used to compare metabolomic profiles. RESULTS: In association with four weeks of > + 1 L/d drinking water, urine osmolality decreased below 800 mOsm/kg H(2)O and saliva osmolality decreased below 100 mOsm/kg H(2)O. Between Week 1 and Week 6, 325 of 562 metabolic features in serum changed by 2-fold or more relative to creatinine. Based on hypergeometric test p-value 0.2, the sustained > + 1 L/d of drinking water was associated with concurrent changes in carbohydrate, protein, lipid, and micronutrient metabolism, a metabolomic pattern of carbohydrate oxidation via the tricarboxylic acid (TCA) cycle, instead of glycolysis to lactate, and a reduction of chronic disease risk factors in Week 6. Similar metabolic pathways appeared potentially impacted in urine, but the directions of impact differed by specimen type. CONCLUSION: In healthy, normal weight, young men with initial total water intake below 2 L/d, sustained > + 1 L/d drinking water was associated with profound changes in serum and urine metabolomic profile, which suggested normalization of an aestivation-like metabolic pattern and a switch away from a Warburg-like pattern. Further research is warranted to pursue whole-body effects of chronic hypotonicity that reflect cell-level effects and potential beneficial effects of drinking water on chronic disease risk.

Published
2023

45. Frontiers in Sports and Active Living / Sequencing patterns of ventilatory indices in less trained adults

Author

Pühringer, Martin, Ring-Dimitriou, Susanne, Iglseder, Bernhard, Frey, Vanessa, Trinka, Eugen, and Paulweber, Bernhard

Subjects
aerobic capacity, indirect calorimetry, point of optimal ventilatory efficiency (POE), exercise testing (CPET), fat oxidation, anaerobic threshold (AT), exercise physiology
Abstract

Submaximal ventilatory indices, i.e., point of optimal ventilatory efficiency (POE) and anaerobic threshold (AT), are valuable indicators to assess the metabolic and ventilatory response during cardiopulmonary exercise testing (CPET). The order in which the ventilatory indices occur (ventilatory indices sequencing pattern, VISP), may yield additional information for the interpretation of CPET results and for exercise intensity prescription. Therefore, we determined whether different VISP groups concerning POE and AT exist. Additionally, we analysed fat metabolism via the exercise intensity eliciting the highest fat oxidation rate (Fatmax) as a possible explanation for differences between VISP groups. 761 less trained adults (41–68 years) completed an incremental exercise test on a cycle ergometer until volitional exhaustion. The ventilatory indices were determined using automatic and visual detection methods, and Fatmax was determined using indirect calorimetry. Our study identified two VISP groups with a lower work rate at POE compared to AT in VISPPOE

Published
2023

46. Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques

Author

Langley, Sarah R., Willeit, Karin, Didangelos, Athanasios, Matic, Ljubica Perisic, Skroblin, Philipp, Barallobre-Barreiro, Javier, Lengquist, Mariette, Rungger, Gregor, Kapustin, Alexander, Kedenko, Ludmilla, Molenaar, Chris, Lu, Ruifang, Barwari, Temo, Suna, Gonca, Yin, Xiaoke, Iglseder, Bernhard, Paulweber, Bernhard, Willeit, Peter, Shalhoub, Joseph, Pasterkamp, Gerard, Davies, Alun H., Monaco, Claudia, Hedin, Ulf, Shanahan, Catherine M., Willeit, Johann, Kiechl, Stefan, and Mayr, Manuel

Subjects
Atherosclerosis -- Genetic aspects -- Risk factors, Extracellular matrix -- Health aspects, Proteomics, Biological markers -- Identification and classification, Health care industry
Abstract

BACKGROUND. The identification of patients with high-risk atherosclerotic plaques prior to the manifestation of clinical events remains challenging. Recent findings question histology- and imaging-based definitions of the 'vulnerable plaque,' necessitating an improved approach for predicting onset of symptoms. METHODS. We performed a proteomics comparison of the vascular extracellular matrix and associated molecules in human carotid endarterectomy specimens from 6 symptomatic versus 6 asymptomatic patients to identify a protein signature for high-risk atherosclerotic plaques. Proteomics data were integrated with gene expression profiling of 121 carotid endarterectomies and an analysis of protein secretion by lipid-loaded human vascular smooth muscle cells. Finally, epidemiological validation of candidate biomarkers was performed in two community-based studies. RESULTS. Proteomics and at least one of the other two approaches identified a molecular signature of plaques from symptomatic patients that comprised matrix metalloproteinase 9, chitinase 3-like-1, S100 calcium binding protein A8 (S100A8), S100A9, cathepsin B, fibronectin, and galectin-3-binding protein. Biomarker candidates measured in 685 subjects in the Bruneck study were associated with progression to advanced atherosclerosis and incidence of cardiovascular disease over a 10-year follow-up period. A 4-biomarker signature (matrix metalloproteinase 9, S100A8/S100A9, cathepsin D, and galectin-3binding protein) improved risk prediction and was successfully replicated in an independent cohort, the SAPHIR study. CONCLUSION. The identified 4-biomarker signature may improve risk prediction and diagnostics for the management of cardiovascular disease. Further, our study highlights the strength of tissue-based proteomics for biomarker discovery. FUNDING. UK: British Heart Foundation (BHF); King's BHF Center; and the National Institute for Health Research Biomedical Research Center based at Guy's and St Thomas' NHS Foundation Trust and King's College London in partnership with King's College Hospital. Austria: Federal Ministry for Transport, Innovation and Technology (BMVIT); Federal Ministry of Science, Research and Economy (BMWFW); Wirtschaftsagentur Wien; and Standortagentur Tirol., Introduction Atherosclerosis is a chronic and progressive disease of the arterial wall and the main underlying cause of stroke, myocardial infarction (MI), and cardiac death (1, 2). The evolution of [...]

Published
2017
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48. Association of adiponectin and leptin with relative telomere length in seven independent cohorts including 11,448 participants

Author

Broer, Linda, Raschenberger, Julia, Deelen, Joris, Mangino, Massimo, Codd, Veryan, Pietiläinen, Kirsi H., Albrecht, Eva, Amin, Najaf, Beekman, Marian, de Craen, Anton J. M., Gieger, Christian, Haun, Margot, Henneman, Peter, Herder, Christian, Hovatta, Iiris, Laser, Annika, Kedenko, Lyudmyla, Koenig, Wolfgang, Kollerits, Barbara, Moilanen, Eeva, Oostra, Ben A., Paulweber, Bernhard, Quaye, Lydia, Rissanen, Aila, Roden, Michael, Surakka, Ida, Valdes, Ana M., Vuolteenaho, Katriina, Thorand, Barbara, van Dijk, Ko Willems, Kaprio, Jaakko, Spector, Tim D., Slagboom, P. Eline, Samani, Nilesh J., Kronenberg, Florian, van Duijn, Cornelia M., and Ladwig, Karl-Heinz

Published
2014

49. Austrian Lipid Consensus on the management of metabolic lipid disorders to prevent vascular complications: A joint position statement issued by eight medical societies. 2016 update

Author

Toplak, Hermann, Ludvik, Bernhard, Lechleitner, Monika, Dieplinger, Hans, Föger, Bernhard, Paulweber, Bernhard, Weber, Thomas, Watschinger, Bruno, Horn, Sabine, Wascher, Thomas C., Drexel, Heinz, Brodmann, Marianne, Pilger, Ernst, Rosenkranz, Alexander, Pohanka, Erich, Oberbauer, Rainer, Traindl, Otto, Roithinger, Franz Xaver, Metzler, Bernhard, Haring, Hans-Peter, and Kiechl, Stefan

Published
2016
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