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4. 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

5. 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

7. 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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8. 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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9. 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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10. 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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11. 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

12. 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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13. 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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14. 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

15. 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

16. 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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18. 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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20. 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

21. 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

22. 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

23. 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

24. 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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25. PNPLA3 is the dominant SNP linked to liver disease severity at time of first referral to a tertiary center

Author

Balcar, Lorenz, Semmler, Georg, Oberkofler, Hannes, Zandanell, Stephan, Strasser, Michael, Datz, Leonora, Niederseer, David, Feldman, Alexandra, Stickel, Felix, Datz, Christian, Paulweber, Bernhard, Aigner, Elmar, Balcar, Lorenz, Semmler, Georg, Oberkofler, Hannes, Zandanell, Stephan, Strasser, Michael, Datz, Leonora, Niederseer, David, Feldman, Alexandra, Stickel, Felix, Datz, Christian, Paulweber, Bernhard, and Aigner, Elmar

Abstract

BACKGROUND Single nucleotide polymorphisms (SNPs) in genes including PNPLA3, TM6SF2, HSD17B13 and SERPINA1 have been identified as risk modifiers of progression in chronic liver disease (CLD). However, it is unclear whether genotyping for these risk variants is useful in clinical routine. METHODS Liver disease severity was assessed by liver stiffness measurement (LSM) and by presence of clinical manifestations of advanced-chronic liver disease (ACLD) in 779 consecutive CLD patients at the time of referral to a tertiary center. The associations of risk variants with CLD severity were calculated individually and in a combined model using a polygenic risk-score. RESULTS Non-alcoholic fatty liver disease (NAFLD) was the most common etiology (n = 511, 65.6%), and ACLD was present in 217 (27.9%) patients. The PNPLA3-G-allele remained independently associated with higher LSM (adjusted-B: 2.508 [95%CI: 0.887-4.130], P = 0.002) or the presence of ACLD (aOR: 1.562 [95%CI: 1.097-2.226], P = 0.013). SERPINA1-Z-allele was also independently associated with LSM (adjusted-B: 4.558 [95%CI: 1.182-7.934], P = 0.008), while the other risk alleles did not attain statistical significance. Combining these risk alleles into a polygenic risk-score was significantly associated with LSM (adjusted-B: 0.948 [95%CI: 0.153-1.743], P = 0.020). CONCLUSION PNPLA3 risk-variants are linked to liver disease severity at the time of first referral to an outpatient hepatology clinic.

Published
2022

26. 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, 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, and Silva, Luis

Subjects
PERIPHERAL neuropathy, KIDNEY physiology, RANDOMIZED controlled trials, METFORMIN, LINAGLIPTIN
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. [ABSTRACT FROM AUTHOR]

Published
2023
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27. Finerenone in Patients With Chronic Kidney Disease and Type 2 Diabetes According to Baseline HbA1c and Insulin Use: An Analysis From the FIDELIO-DKD Study

Author

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

Published
2022
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28. Allergy-induced systemic inflammation impairs tendon quality

Author

Lehner, Christine, primary, Spitzer, Gabriel, additional, Langthaler, Patrick, additional, Jakubecova, Dominika, additional, Klein, Barbara, additional, Weissenbacher, Nadja, additional, Wagner, Andrea, additional, Gehwolf, Renate, additional, Trinka, Eugen, additional, Iglseder, Bernhard, additional, Paulweber, Bernhard, additional, Aigner, Ludwig, additional, Couillard-Després, Sebastien, additional, Weiss, Richard, additional, Tempfer, Herbert, additional, and Traweger, Andreas, additional

Published
2022
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29. Liver-related Mortality is Increased in Lean Subjects with Non- alcoholic Fatty Liver Disease Compared to Overweight and Obese Subjects

Author

Feldman, Alexandra, primary, Wernly, Bernhard, primary, Strebinger, Georg, primary, Eder, Sebastian Karl, primary, Zandanell, Stephan, primary, Niederseer, David, primary, Strasser, Michael, primary, Haufe, Heike, primary, Sotlar, Karl, primary, Paulweber, Bernhard, primary, Datz, Christian, primary, and Aigner, Elmar, primary

Published
2021
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30. Frequent LPA KIV-2 Variants Lower Lipoprotein(a) Concentrations and Protect Against Coronary Artery Disease

Author

Schachtl-Riess, Johanna F., Kheirkhah, Azin, Grüneis, Rebecca, Di Maio, Silvia, Schoenherr, Sebastian, Streiter, Gertraud, Losso, Jamie Lee, Paulweber, Bernhard, Eckardt, Kai-Uwe, Köttgen, Anna, Lamina, Claudia, Kronenberg, Florian, Coassin, Stefan, For The GCKD Investigators, 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, 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, Raschenberger, Julia, Kollerits, Barbara, Forer, Lukas, Schönherr, Sebastian, Weissensteiner, Hansi, Oefner, Peter J., Gronwald, Wolfram, Schmid, Matthias, and Nadal, Jennifer

Subjects
medicine.medical_specialty, 610 Medizin, Coronary Artery Disease, Mendelian randomization, cardiovascular disease, cohort study, copy number variation, genetic variability, lipoprotein(a), Coronary artery disease, Kringles, Internal medicine, Medicine, Humans, Copy-number variation, Genetic variability, Prospective Studies, Risk factor, ddc:610, biology, business.industry, Genetic Variation, Lipoprotein(a), medicine.disease, biology.protein, Cardiology, lipids (amino acids, peptides, and proteins), biological phenomena, cell phenomena, and immunity, Cardiology and Cardiovascular Medicine, business, Lipoprotein, Cohort study
Abstract

Background: Lipoprotein(a) (Lp(a)) concentrations are a major independent risk factor for coronary artery disease (CAD) and are mainly determined by variation in LPA. Up to 70% of the LPA coding sequence is located in the hypervariable kringle IV type 2 (KIV-2) region. It is hardly accessible by conventional technologies, but may contain functional variants. Objectives: This study sought to investigate the new, very frequent splicing variant KIV-2 4733G>A on Lp(a) and CAD. Methods: We genotyped 4733G>A in the GCKD (German Chronic Kidney Disease) study (n = 4,673) by allele-specific polymerase chain reaction, performed minigene assays, identified proxy single nucleotide polymorphisms and used them to characterize its effect on CAD by survival analysis in UK Biobank (n = 440,234). Frequencies in ethnic groups were assessed in the 1000 Genomes Project. Results: The 4733G>A variant (38.2% carrier frequency) was found in most isoform sizes. It reduces allelic expression without abolishing protein production, lowers Lp(a) by 13.6 mg/dL (95% CI: 12.5-14.7; P < 0.0001) and is the strongest variance-explaining factor after the smaller isoform. Splicing of minigenes was modified. Compound heterozygosity (4.6% of the population) for 4733G>A and 4925G>A, another KIV-2 splicing mutation, reduces Lp(a) by 31.8 mg/dL and most importantly narrows the interquartile range by 9-fold (from 42.1 to 4.6 mg/dL) when compared to the wild type. In UK Biobank 4733G>A alone and compound heterozygosity with 4925G>A reduced HR for CAD by 9% (95% CI: 7%-11%) and 12% (95% CI: 7%-16%) (both P < 0.001). Frequencies in ethnicities differ notably. Conclusions: Functional variants in the previously inaccessible LPA KIV-2 region cooperate in determining Lp(a) variance and CAD risk. Even a moderate but lifelong genetic Lp(a) reduction translates to a noticeable CAD risk reduction.

Published
2021

31. Liver-related Mortality is Increased in Lean Subjects with Non- alcoholic Fatty Liver Disease Compared to Overweight and Obese Subjects

Author

Feldman, Alexandra, Wernly, Bernhard, Strebinger, Georg, Eder, Sebastian Karl, Zandanell, Stephan, Niederseer, David, Strasser, Michael, Haufe, Heike, Sotlar, Karl, Paulweber, Bernhard, Datz, Christian, Aigner, Elmar, Feldman, Alexandra, Wernly, Bernhard, Strebinger, Georg, Eder, Sebastian Karl, Zandanell, Stephan, Niederseer, David, Strasser, Michael, Haufe, Heike, Sotlar, Karl, Paulweber, Bernhard, Datz, Christian, and Aigner, Elmar

Abstract

BACKGROUND AND AIMS Although non-alcoholic fatty liver disease (NAFLD) is linked to obesity, a proportion of lean subjects also have NAFLD with potentially distinct clinical features. We studied the outcome of lean NAFLD subjects. METHODS 299 consecutive patients (215 male, 84 female, 49.5 ± 13.5years) with biopsy-proven NAFLD and a follow-up of 8.4 years (±4.1; range: 0.9-18.0) were stratified by body mass index (BMI) at the time of liver biopsy: lean (BMI ≤25.0 kg/m, n=38), overweight (BMI 25.0-29.9 kg/m2, n=165), obese (BMI ≥30.0 kg/m2, n=93). A control group of 1,013 subjects (547 male, 52.4 ± 5.8) was used for comparison. The time to the event was recorded. Multivariable Cox regression analyses were performed to assess associations with 10-year-mortality. Hazard ratios (HR) and adjusted hazard ratios (aHR) with 95% confidence intervals (CI) were calculated. RESULTS Age and gender were similar, while components of the metabolic syndrome were less frequent in lean subjects. The proportion of subjects with significant fibrosis and the number of subjects with cirrhosis was increased in lean subjects while the proportion of non-alcoholic steatohepatitis was not different. Mortality in the NAFLD groups was significantly higher than in the control group. Multivariable analysis adjusting for age, gender, and glucose confirmed lower mortality in overweight (aHR 0.21; 95% CI 0.07-0.62, p=0.005) and in obese (aHR 0.22; 95% CI 0.06-0.76, p=0.02) compared to lean subjects. Further adjustment for fibrosis weakened the difference between lean and obese (p=0.12) while the difference to overweight subjects remained intact (p=0.01). CONCLUSION Lean subjects with NAFLD have a high risk of liver-related death. Our data support that lean NAFLD subjects deserve particular attention with regard to clinical follow-up.

Published
2021

32. PNPLA3 and SERPINA1 Variants Are Associated with Severity of Fatty Liver Disease at First Referral to a Tertiary Center

Author

Semmler, Georg; https://orcid.org/0000-0002-0411-166X, Balcar, Lorenz; https://orcid.org/0000-0002-6708-3061, Oberkofler, Hannes, Zandanell, Stephan, Strasser, Michael, Niederseer, David; https://orcid.org/0000-0003-3089-1222, Feldman, Alexandra, Stickel, Felix, Strnad, Pavel; https://orcid.org/0000-0002-7122-6379, Datz, Christian; https://orcid.org/0000-0001-7838-4532, Paulweber, Bernhard, Aigner, Elmar, Semmler, Georg; https://orcid.org/0000-0002-0411-166X, Balcar, Lorenz; https://orcid.org/0000-0002-6708-3061, Oberkofler, Hannes, Zandanell, Stephan, Strasser, Michael, Niederseer, David; https://orcid.org/0000-0003-3089-1222, Feldman, Alexandra, Stickel, Felix, Strnad, Pavel; https://orcid.org/0000-0002-7122-6379, Datz, Christian; https://orcid.org/0000-0001-7838-4532, Paulweber, Bernhard, and Aigner, Elmar

Abstract

Single nucleotide polymorphisms (SNPs), including PNPLA3 rs738409 and SERPINA1 rs17580, have been identified as risk modifiers in the progression fatty liver disease (alcoholic (ALD) or non-alcoholic (NAFLD)). While PNPLA3 has been studied in various settings, the value of both SNPs has so far not been addressed in a real-world cohort of subjects referred for a diagnostic work-up of liver disease. Thus, liver disease severity was assessed in 1257 consecutive patients with suspected ALD or NAFLD at the time of referral to a tertiary center. Advanced chronic liver disease (ACLD) was present in 309 (24.6%) patients and clinically significant portal hypertension (CSPH) was present in 185 (14.7%) patients. The PNPLA3 G-allele was independently associated with a higher liver stiffness measurement (LSM; adjusted B: 2.707 (1.435-3.979), p < 0.001), and higher odds of ACLD (adjusted odds ratio (aOR): 1.971 (1.448-2.681), p < 0.001) and CSPH (aOR: 1.685 (1.180-2.406), p = 0.004). While the SERPINA1 Z-allele was not associated with a higher LSM or the presence of ACLD, it was independently associated with higher odds of CSPH (aOR: 2.122 (1.067-4.218), p = 0.032). Associations of the PNPLA3 G-allele and the SERPINA1 Z-allele with CSPH were maintained independently of each other. The presence of both risk variants further increased the likelihood of ACLD and CSPH.

Published
2021

33. PNPLA3 and SERPINA1 Variants Are Associated with Severity of Fatty Liver Disease at First Referral to a Tertiary Center

Author

Semmler, Georg, primary, Balcar, Lorenz, additional, Oberkofler, Hannes, additional, Zandanell, Stephan, additional, Strasser, Michael, additional, Niederseer, David, additional, Feldman, Alexandra, additional, Stickel, Felix, additional, Strnad, Pavel, additional, Datz, Christian, additional, Paulweber, Bernhard, additional, and Aigner, Elmar, additional

Published
2021
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34. Journal of Sports Sciences / Comparison of visual, automatic and semiautomatic methods to determine ventilatory indices in 50 to 60 years old adults

Author

Pühringer, Martin, Ring-Dimitriou, Susanne, Stöggl, Thomas, Iglseder, Bernhard, and Paulweber, Bernhard

Subjects
Physiology exercise, Pulmonary exercise, Testing, Aerobic, Capacity cardio
Abstract

The aim of this study was to compare different methods of detecting ventilatory indices (VI) and to investigate the impact of cardiorespiratory fitness (CRF) level on VI detection. Fifty females and fifty males completed a graded exercise test until volitional exhaustion with continuous gas-exchange measurement. The first and second ventilatory indices (VI-1, VI-2) were detected through different single automatic methods and through a semiautomatic method which combines visual and automatic detection methods. Additionally, the VIs were detected visually by two experts which served as the study specific gold standard. When comparing the semiautomatic method at VI-1 (intraclass correlation coefficients (ICC) 0.88 [0.81, 0.92], Bland-Altman bias limits of agreement (LoA) 55 334 ml O2 · min1) and VI-2 (ICC 0.97 [0.96, 0.98], LoA 1 268 ml O2 · min1) to the visually detected VI, high levels of agreements and no significant differences were found. This was not the case for any of the other automatic methods. Additionally, we couldnt find any relevant differences regarding the CRF level. We therefore concluded that the semiautomatic detection method should be used for VI detection, as results are more accurate than in any of the single-automatic methods. (VLID)4867373

Published
2020

35. Mesenchymal iron deposition is associated with adverse long-term outcome in non-alcoholic fatty liver disease

Author

Eder, Sebastian K, Feldman, Alexandra, Strebinger, Georg, Kemnitz, Jana, Zandanell, Stephan, Niederseer, David, Strasser, Michael, Haufe, Heike, Sotlar, Karl, Stickel, Felix, Paulweber, Bernhard, Datz, Christian, Aigner, Elmar, and University of Zurich

Subjects
10219 Clinic for Gastroenterology and Hepatology, 10209 Clinic for Cardiology, 610 Medicine & health
Published
2020
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36. Respiratory Physiology & Neurobiology / Differences in the point of optimal ventilatory efficiency and the anaerobic threshold in untrained adults aged 50 to 60 years

Author

Pühringer, Martin, Ring-Dimitriou, Susanne, Stöggl, Thomas, Iglseder, Bernhard, and Paulweber, Bernhard

Subjects
Exercise Physiology, Breathing Pattern, Cardio Pulmonary, Exercise Testing, Aerobic Capacity
Abstract

Background The point of optimal ventilatory efficiency (POE) and the anaerobic threshold (AT) are traditionally considered the same ventilatory indices, but recently differences between them have been reported. Therefore, the aim of this study was to identify different response patterns regarding POE and AT, and to analyse differences in breathing patterns as a possible explanation. Methods 118 females and 199 males aged 50 to 60 years performed an exercise test with gas analysis. POE and AT were determined, and the breathing patterns concerning ventilation, breathing frequency and tidal volume were assessed. Results and Conclusion Our study identified two different response patterns concerning the ventilatory indices POE and AT. Participants with a work rate difference between POE and AT (82% of all participants) were not different regarding breathing patterns of breathing frequency and tidal volume. However, the difference in work rate was explained by an early increase in ventilation and a higher aerobic capacity. (VLID)5457787

Published
2020

38. Mendelian Randomization Studies Do Not Support a Causal Role for Reduced Circulating Adiponectin Levels in Insulin Resistance and Type 2 Diabetes

Author

Yaghootkar, Hanieh, Lamina, Claudia, Scott, Robert A., Dastani, Zari, Hivert, Marie-France, Warren, Liling L., Stancáková, Alena, Buxbaum, Sarah G., Lyytikäinen, Leo-Pekka, Henneman, Peter, Wu, Ying, Cheung, Chloe Y.Y., Pankow, James S., Jackson, Anne U., Gustafsson, Stefan, Zhao, Jing Hua, Ballantyne, Christie M., Xie, Weijia, Bergman, Richard N., Boehnke, Michael, el Bouazzaoui, Fatiha, Collins, Francis S., Dunn, Sandra H., Dupuis, Josee, Forouhi, Nita G., Gillson, Christopher, Hattersley, Andrew T., Hong, Jaeyoung, Kähönen, Mika, Kuusisto, Johanna, Kedenko, Lyudmyla, Kronenberg, Florian, Doria, Alessandro, Assimes, Themistocles L., Ferrannini, Ele, Hansen, Torben, Hao, Ke, Häring, Hans, Knowles, Joshua W., Lindgren, Cecilia M., Nolan, John J., Paananen, Jussi, Pedersen, Oluf, Quertermous, Thomas, Smith, Ulf, Lehtimäki, Terho, Liu, Ching-Ti, Loos, Ruth J.F., McCarthy, Mark I., Morris, Andrew D., Vasan, Ramachandran S., Spector, Tim D., Teslovich, Tanya M., Tuomilehto, Jaakko, van Dijk, Ko Willems, Viikari, Jorma S., Zhu, Na, Langenberg, Claudia, Ingelsson, Erik, Semple, Robert K., Sinaiko, Alan R., Palmer, Colin N.A., Walker, Mark, Lam, Karen S.L., Paulweber, Bernhard, Mohlke, Karen L., van Duijn, Cornelia, Raitakari, Olli T., Bidulescu, Aurelian, Wareham, Nick J., Laakso, Markku, Waterworth, Dawn M., Lawlor, Debbie A., Meigs, James B., Richards, J. Brent, and Frayling, Timothy M.

Published
2013
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39. CUBN Is a Gene Locus for Albuminuria

Author

Böger, Carsten A., Chen, Ming-Huei, Tin, Adrienne, Olden, Matthias, Köttgen, Anna, de Boer, Ian H., Fuchsberger, Christian, OʼSeaghdha, Conall M., Pattaro, Cristian, Teumer, Alexander, Liu, Ching-Ti, Glazer, Nicole L., Li, Man, OʼConnell, Jeffrey R., Tanaka, Toshiko, Peralta, Carmen A., Kutalik, Zoltán, Luan, Jianʼan, Zhao, Jing Hua, Hwang, Shih-Jen, Akylbekova, Ermeg, Kramer, Holly, van der Harst, Pim, Smith, Albert V., Lohman, Kurt, de Andrade, Mariza, Hayward, Caroline, Kollerits, Barbara, Tönjes, Anke, Aspelund, Thor, Ingelsson, Erik, Eiriksdottir, Gudny, Launer, Lenore J., Harris, Tamara B., Shuldiner, Alan R., Mitchell, Braxton D., Arking, Dan E., Franceschini, Nora, Boerwinkle, Eric, Egan, Josephine, Hernandez, Dena, Reilly, Muredach, Townsend, Raymond R., Lumley, Thomas, Siscovick, David S., Psaty, Bruce M., Kestenbaum, Bryan, Haritunians, Talin, Bergmann, Sven, Vollenweider, Peter, Waeber, Gerard, Mooser, Vincent, Waterworth, Dawn, Johnson, Andrew D., Florez, Jose C., Meigs, James B., Lu, Xiaoning, Turner, Stephen T., Atkinson, Elizabeth J., Leak, Tennille S., Aasarød, Knut, Skorpen, Frank, Syvänen, Ann-Christine, Illig, Thomas, Baumert, Jens, Koenig, Wolfgang, Krämer, Bernhard K., Devuyst, Olivier, Mychaleckyj, Josyf C., Minelli, Cosetta, Bakker, Stephan J.L., Kedenko, Lyudmyla, Paulweber, Bernhard, Coassin, Stefan, Endlich, Karlhans, Kroemer, Heyo K., Biffar, Reiner, Stracke, Sylvia, Völzke, Henry, Stumvoll, Michael, Mägi, Reedik, Campbell, Harry, Vitart, Veronique, Hastie, Nicholas D., Gudnason, Vilmundur, Kardia, Sharon L.R., Liu, Yongmei, Polasek, Ozren, Curhan, Gary, Kronenberg, Florian, Prokopenko, Inga, Rudan, Igor, Ärnlöv, Johan, Hallan, Stein, Navis, Gerjan, Parsa, Afshin, Ferrucci, Luigi, Coresh, Josef, Shlipak, Michael G., Bull, Shelley B., Paterson, Andrew D., Wichmann, H.-Erich, Wareham, Nicholas J., Loos, Ruth J.F., Rotter, Jerome I., Pramstaller, Peter P., Cupples, L. Adrienne, Beckmann, Jacques S., Yang, Qiong, Heid, Iris M., Rettig, Rainer, Dreisbach, Albert W., Bochud, Murielle, Fox, Caroline S., and Kao, W.H.L.

Published
2011
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40. A genome-wide analysis of DNA methylation identifies a novel association signal for Lp(a) concentrations in the LPA promoter

Author

Coassin, Stefan, primary, Hermann-Kleiter, Natascha, additional, Haun, Margot, additional, Wahl, Simone, additional, Wilson, Rory, additional, Paulweber, Bernhard, additional, Kunze, Sonja, additional, Meitinger, Thomas, additional, Strauch, Konstantin, additional, Peters, Annette, additional, Waldenberger, Melanie, additional, Kronenberg, Florian, additional, and Lamina, Claudia, additional

Published
2020
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41. The haemochromatosis gene Hfe and Kupffer cells control LDL cholesterol homeostasis and impact on atherosclerosis development

Author

Demetz, Egon, primary, Tymoszuk, Piotr, additional, Hilbe, Richard, additional, Volani, Chiara, additional, Haschka, David, additional, Heim, Christiane, additional, Auer, Kristina, additional, Lener, Daniela, additional, Zeiger, Lucas B, additional, Pfeifhofer-Obermair, Christa, additional, Boehm, Anna, additional, Obermair, Gerald J, additional, Ablinger, Cornelia, additional, Coassin, Stefan, additional, Lamina, Claudia, additional, Kager, Juliane, additional, Petzer, Verena, additional, Asshoff, Malte, additional, Schroll, Andrea, additional, Nairz, Manfred, additional, Dichtl, Stefanie, additional, Seifert, Markus, additional, von Raffay, Laura, additional, Fischer, Christine, additional, Barros-Pinkelnig, Marina, additional, Brigo, Natascha, additional, Valente de Souza, Lara, additional, Sopper, Sieghart, additional, Hirsch, Jakob, additional, Graber, Michael, additional, Gollmann-Tepeköylü, Can, additional, Holfeld, Johannes, additional, Halper, Julia, additional, Macheiner, Sophie, additional, Gostner, Johanna, additional, Vogel, Georg F, additional, Pechlaner, Raimund, additional, Moser, Patrizia, additional, Imboden, Medea, additional, Marques-Vidal, Pedro, additional, Probst-Hensch, Nicole M, additional, Meiselbach, Heike, additional, Strauch, Konstantin, additional, Peters, Annette, additional, Paulweber, Bernhard, additional, Willeit, Johann, additional, Kiechl, Stefan, additional, Kronenberg, Florian, additional, Theurl, Igor, additional, Tancevski, Ivan, additional, and Weiss, Guenter, additional

Published
2020
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46. [Antihyperglycemic treatment guidelines for diabetes mellitus type 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

Subjects
Blood Glucose, Diabetes Mellitus, Type 2, Hyperglycemia, Practice Guidelines as Topic, Humans, Hypoglycemic Agents, 610 Medicine & health, Life Style
Abstract

Hyperglycemia significantly contributes to complications in patients with diabetes mellitus. While lifestyle interventions remain cornerstones of disease prevention and treatment, most patients with type 2 diabetes will eventually require pharmacotherapy for glycemic control. The definition of individual targets regarding optimal therapeutic efficacy and safety as well as cardiovascular effects is of great importance. In this guideline we present the most current evidence-based best clinical practice data for healthcare professionals.

Published
2019

47. Antihyperglykämische Therapie bei Diabetes mellitus Typ 2

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, and Riedl, Michaela

Subjects
Blutzuckersenkung, Therapy, Glucose lowering, Diabetes mellitus Typ 2, Therapie, Diabetes mellitus Type 2
Abstract

Die Hyperglykämie ist wesentlich an der Entstehung der Spätkomplikationen bei an Diabetes mellitus Typ 2 erkrankten Patienten/Patientinnen beteiligt. Während Lebensstilmaßnahmen die Eckpfeiler jeder Diabetestherapie bleiben, benötigen im Verlauf die meisten Patienten/Patientinnen mit Typ 2 Diabetes eine medikamentöse Therapie. Bei der Definition individueller Behandlungsziele stellen die Therapiesicherheit, die Effektivität sowie substanzspezifische, kardiovaskuläre Effekte der Therapie die wichtigsten Faktoren dar. In dieser Leitlinie haben wir die rezenten evidenzbasierten Daten für die klinische Praxis zusammengestellt. Hyperglycemia signicantly contributes to complications in patients with diabetes mellitus. While lifestyle interventions remain cornerstones of disease prevention and treatment, most patients with type 2 diabetes will eventually require pharmacotherapy for glycemic control. The denition of individual targets regarding optimal therapeutic efcacy and safety as well as cardiovascular effects is of great importance. In this guideline we present the most current evidence-based best clinical practice data for healthcare professionals. (VLID)4891009 Version of record

Published
2019

48. Wiener klinische Wochenschrift / Lipide: Diagnostik und Therapie bei Diabetes mellitus (Update 2019) : Lipids—Diagnosis and therapy in diabetes mellitus (Update 2019)

Author

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

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 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
2019

49. Resolving intra-repeat variation in medically relevant VNTRs from short-read sequencing data using the cardiovascular risk gene LPAas a model

Author

Di Maio, Silvia, Zöscher, Peter, Weissensteiner, Hansi, Forer, Lukas, Schachtl-Riess, Johanna F., Amstler, Stephan, Streiter, Gertraud, Pfurtscheller, Cathrin, Paulweber, Bernhard, Kronenberg, Florian, Coassin, Stefan, and Schönherr, Sebastian

Abstract

Background: Variable number tandem repeats (VNTRs) are highly polymorphic DNA regions harboring many potentially disease-causing variants. However, VNTRs often appear unresolved (“dark”) in variation databases due to their repetitive nature. One particularly complex and medically relevant VNTR is the KIV-2 VNTR located in the cardiovascular disease gene LPAwhich encompasses up to 70% of the coding sequence. Results: Using the highly complex LPA gene as a model, we develop a computational approach to resolve intra-repeat variation in VNTRs from largely available short-read sequencing data. We apply the approach to six protein-coding VNTRs in 2504 samples from the 1000 Genomes Project and developed an optimized method for the LPAKIV-2 VNTR that discriminates the confounding KIV-2 subtypes upfront. This results in an F1-score improvement of up to 2.1-fold compared to previously published strategies. Finally, we analyze the LPA VNTR in > 199,000 UK Biobank samples, detecting > 700 KIV-2 mutations. This approach successfully reveals new strong Lp(a)-lowering effects for KIV-2 variants, with protective effect against coronary artery disease, and also validated previous findings based on tagging SNPs. Conclusions: Our approach paves the way for reliable variant detection in VNTRs at scale and we show that it is transferable to other dark regions, which will help unlock medical information hidden in VNTRs.

Published
2024
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