Publications

227 Publications visible to you, out of a total of 227

Abstract (Expand)

INTRODUCTION Chronic pancreatitis (CP) may be caused by oxidative stress. An important source of reactive oxygen species (ROS) is the methylglyoxal-derived formation of advanced glycation endproductss (AGE). Methylglyoxal is detoxified by Glyoxalase I (GLO1). A reduction in GLO1 activity results in increased ROS. Single nucleotide polymorphisms (SNPs) of GLO1 have been linked to various inflammatory diseases. Here, we analyzed whether common GLO1 variants are associated with alcoholic (ACP) and non-alcoholic CP (NACP). METHODS Using melting curve analysis, we genotyped a screening cohort of 223 ACP, 218 NACP patients, and 328 controls for 11 tagging SNPs defined by the SNPinfo LD TAG SNP Selection tool and the functionally relevant variant rs4746. For selected variants the cohorts were extended to up to 1,441 patient samples. RESULTS In the ACP cohort, comparison of genotypes for rs1937780 between patients and controls displayed an ambiguous result in the screening cohort (p = 0.08). However, in the extended cohort of 1,441 patients no statistically significant association was found for the comparison of genotypes (p = 0.11), nor in logistic regression analysis (p = 0.214, OR 1.072, 95% CI 0.961-1.196). In the NACP screening cohort SNPs rs937662, rs1699012, and rs4746 displayed an ambiguous result when patients were compared to controls in the recessive or dominant model (p = 0.08, 0.08, and 0.07, respectively). Again, these associations were not confirmed in the extended cohorts (rs937662, dominant model: p = 0.07, logistic regression: p = 0.07, OR 1.207, 95% CI 0.985-1.480) or in the replication cohorts for rs4746 (Germany, p = 0.42, OR 1.080, 95% CI 0.673-1.124; France, p = 0.19, OR 0.90, 95% CI 0.76-1.06; China, p = 0.24, OR 1.18, 95% CI 0.90-1.54) and rs1699012 (Germany, Munich; p = 0.279, OR 0.903, 95% CI 0.750-1.087). CONCLUSIONS Common GLO1 variants do not increase chronic pancreatitis risk.

Authors: Tom Kaune, Marcus Hollenbach, Bettina Keil, Jian-Min Chen, Emmanuelle Masson, Carla Becker, Marko Damm, Claudia Ruffert, Robert Grützmann, Albrecht Hoffmeister, Rene H. M. Te Morsche, Giulia Martina Cavestro, Raffaella Alessia Zuppardo, Adrian Saftoiu, Ewa Malecka-Panas, Stanislaw Głuszek, Peter Bugert, Markus M. Lerch, Frank Ulrich Weiss, Wen-Bin Zou, Zhuan Liao, Peter Hegyi, Joost Ph Drenth, Jan Riedel, Claude Férec, Markus Scholz, Holger Kirsten, Andrea Tóth, Maren Ewers, Heiko Witt, Heidi Griesmann, Patrick Michl, Jonas Rosendahl

Date Published: 29th Oct 2019

Publication Type: Journal article

Abstract (Expand)

Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.

Authors: Adrienne Tin, Jonathan Marten, Victoria L. Halperin Kuhns, Yong Li, Matthias Wuttke, Holger Kirsten, Karsten B. Sieber, Chengxiang Qiu, Mathias Gorski, Zhi Yu, Ayush Giri, Gardar Sveinbjornsson, Man Li, Audrey Y. Chu, Anselm Hoppmann, Luke J. O’Connor, Bram Prins, Teresa Nutile, Damia Noce, Masato Akiyama, Massimiliano Cocca, Sahar Ghasemi, Peter J. van der Most, Katrin Horn, Yizhe Xu, Christian Fuchsberger, Sanaz Sedaghat, Saima Afaq, Najaf Amin, Johan Ärnlöv, Stephan J. L. Bakker, Nisha Bansal, Daniela Baptista, Sven Bergmann, Mary L. Biggs, Ginevra Biino, Eric Boerwinkle, Erwin P. Bottinger, Thibaud S. Boutin, Marco Brumat, Ralph Burkhardt, Eric Campana, Archie Campbell, Harry Campbell, Robert J. Carroll, Eulalia Catamo, John C. Chambers, Marina Ciullo, Maria Pina Concas, Josef Coresh, Tanguy Corre, Daniele Cusi, Sala Cinzia Felicita, Martin H. de Borst, Alessandro de Grandi, Renée de Mutsert, Aiko P. J. de Vries, Graciela Delgado, Ayşe Demirkan, Olivier Devuyst, Katalin Dittrich, Kai-Uwe Eckardt, Georg Ehret, Karlhans Endlich, Michele K. Evans, Ron T. Gansevoort, Paolo Gasparini, Vilmantas Giedraitis, Christian Gieger, Giorgia Girotto, Martin Gögele, Scott D. Gordon, Daniel F. Gudbjartsson, Vilmundur Gudnason, Toomas Haller, Pavel Hamet, Tamara B. Harris, Caroline Hayward, Andrew A. Hicks, Edith Hofer, Hilma Holm, Wei Huang, Nina Hutri-Kähönen, Shih-Jen Hwang, M. Arfan Ikram, Raychel M. Lewis, Erik Ingelsson, Johanna Jakobsdottir, Ingileif Jonsdottir, Helgi Jonsson, Peter K. Joshi, Navya Shilpa Josyula, Bettina Jung, Mika Kähönen, Yoichiro Kamatani, Masahiro Kanai, Shona M. Kerr, Wieland Kiess, Marcus E. Kleber, Wolfgang Koenig, Jaspal S. Kooner, Antje Körner, Peter Kovacs, Bernhard K. Krämer, Florian Kronenberg, Michiaki Kubo, Brigitte Kühnel, Martina La Bianca, Leslie A. Lange, Benjamin Lehne, Terho Lehtimäki, Jun Liu, Markus Loeffler, Ruth J. F. Loos, Leo-Pekka Lyytikäinen, Reedik Magi, Anubha Mahajan, Nicholas G. Martin, Winfried März, Deborah Mascalzoni, Koichi Matsuda, Christa Meisinger, Thomas Meitinger, Andres Metspalu, Yuri Milaneschi, Christopher J. O’Donnell, Otis D. Wilson, J. Michael Gaziano, Pashupati P. Mishra, Karen L. Mohlke, Nina Mononen, Grant W. Montgomery, Dennis O. Mook-Kanamori, Martina Müller-Nurasyid, Girish N. Nadkarni, Mike A. Nalls, Matthias Nauck, Kjell Nikus, Boting Ning, Ilja M. Nolte, Raymond Noordam, Jeffrey R. O’Connell, Isleifur Olafsson, Sandosh Padmanabhan, Brenda W. J. H. Penninx, Thomas Perls, Annette Peters, Mario Pirastu, Nicola Pirastu, Giorgio Pistis, Ozren Polasek, Belen Ponte, David J. Porteous, Tanja Poulain, Michael H. Preuss, Ton J. Rabelink, Laura M. Raffield, Olli T. Raitakari, Rainer Rettig, Myriam Rheinberger, Kenneth M. Rice, Federica Rizzi, Antonietta Robino, Igor Rudan, Alena Krajcoviechova, Renata Cifkova, Rico Rueedi, Daniela Ruggiero, Kathleen A. Ryan, Yasaman Saba, Erika Salvi, Helena Schmidt, Reinhold Schmidt, Christian M. Shaffer, Albert V. Smith, Blair H. Smith, Cassandra N. Spracklen, Konstantin Strauch, Michael Stumvoll, Patrick Sulem, Salman M. Tajuddin, Andrej Teren, Joachim Thiery, Chris H. L. Thio, Unnur Thorsteinsdottir, Daniela Toniolo, Anke Tönjes, Johanne Tremblay, André G. Uitterlinden, Simona Vaccargiu, Pim van der Harst, Cornelia M. van Duijn, Niek Verweij, Uwe Völker, Peter Vollenweider, Gerard Waeber, Melanie Waldenberger, John B. Whitfield, Sarah H. Wild, James F. Wilson, Qiong Yang, Weihua Zhang, Alan B. Zonderman, Murielle Bochud, James G. Wilson, Sarah A. Pendergrass, Kevin Ho, Afshin Parsa, Peter P. Pramstaller, Bruce M. Psaty, Carsten A. Böger, Harold Snieder, Adam S. Butterworth, Yukinori Okada, Todd L. Edwards, Kari Stefansson, Katalin Susztak, Markus Scholz, Iris M. Heid, Adriana M. Hung, Alexander Teumer, Cristian Pattaro, Owen M. Woodward, Veronique Vitart, Anna Köttgen

Date Published: 1st Oct 2019

Publication Type: Journal article

Abstract (Expand)

PURPOSE Proper fixation of central venous catheters (CVCs) is an integral part of safety to avoid dislodgement and malfunction. However, the effectiveness of different CVC securement sutures is unknown.. METHODS Analysis of maximum dislodgement forces for CVCs from three different manufacturers using four different suture techniques in an in vitro tensile loading experiment: 1. \textquotedblclamp only\textquotedbl, 2. \textquotedblclamp and compression suture\textquotedbl, 3. \textquotedblfinger trap\textquotedbl and 4. \textquotedblcomplete\textquotedbl, i.e., \textquotedblclamp + compression suture + finger trap\textquotedbl. Twenty-five tests were performed for each of the three CVC models and four securement suture techniques (n = 300 test runs). RESULTS The primary cause of catheter dislodgement was sliding through the clamp in techniques 1 and 2. In contrast, rupture of the suture was the predominant cause for dislodgement in techniques 2 and 3. Median (IQR 25-75%) dislodgement forces were 26.0 (16.6) N in technique 1, 26.5 (18.8) N in technique 2, 76.7 (18.7) N in technique 3, and 84.8 (11.8) N in technique 4. Post-hoc analysis demonstrated significant differences (P < .001) between all pairwise combinations of techniques except technique 1 vs. 2 (P = .98). CONCLUSIONS \textquotedblFinger trap\textquotedbl fixation at the segmentation site considerably increases forces required for dislodgement compared to clamp-based approaches.

Authors: Manuel Florian Struck, Lars Friedrich, Stefan Schleifenbaum, Holger Kirsten, Wolfram Schummer, Bernd E. Winkler

Date Published: 12th Sep 2019

Publication Type: Journal article

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Importance Observational studies have shown associations of birth weight with type 2 diabetes (T2D) and glycemic traits, but it remains unclear whether these associations represent causal associations.. Objective To test the association of birth weight with T2D and glycemic traits using a mendelian randomization analysis. Design, Setting, and Participants This mendelian randomization study used a genetic risk score for birth weight that was constructed with 7 genome-wide significant single-nucleotide polymorphisms. The associations of this score with birth weight and T2D were tested in a mendelian randomization analysis using study-level data. The association of birth weight with T2D was tested using both study-level data (7 single-nucleotide polymorphisms were used as an instrumental variable) and summary-level data from the consortia (43 single-nucleotide polymorphisms were used as an instrumental variable). Data from 180 056 participants from 49 studies were included. Main Outcomes and Measures Type 2 diabetes and glycemic traits. Results This mendelian randomization analysis included 49 studies with 41 155 patients with T2D and 80 008 control participants from study-level data and 34 840 patients with T2D and 114 981 control participants from summary-level data. Study-level data showed that a 1-SD decrease in birth weight due to the genetic risk score was associated with higher risk of T2D among all participants (odds ratio [OR], 2.10; 95% CI, 1.69-2.61; P = 4.03 \times 10-5), among European participants (OR, 1.96; 95% CI, 1.42-2.71; P = .04), and among East Asian participants (OR, 1.39; 95% CI, 1.18-1.62; P = .04). Similar results were observed from summary-level analyses. In addition, each 1-SD lower birth weight was associated with 0.189 SD higher fasting glucose concentration (\textgreekb = 0.189; SE = 0.060; P = .002), but not with fasting insulin, 2-hour glucose, or hemoglobin A1c concentration. Conclusions and Relevance In this study, a genetic predisposition to lower birth weight was associated with increased risk of T2D and higher fasting glucose concentration, suggesting genetic effects on retarded fetal growth and increased diabetes risk that either are independent of each other or operate through alterations of integrated biological mechanisms.

Authors: Tao Huang, Tiange Wang, Yan Zheng, Christina Ellervik, Xiang Li, Meng Gao, Zhe Fang, Jin-Fang Chai, Tarun Veer S. Ahluwalia, Yujie Wang, Trudy Voortman, Raymond Noordam, Alexis Frazier-Wood, Markus Scholz, Emily Sonestedt, Masato Akiyama, Rajkumar Dorajoo, Ang Zhou, Tuomas O. Kilpeläinen, Marcus E. Kleber, Sarah R. Crozier, Keith M. Godfrey, Rozenn Lemaitre, Janine F. Felix, Yuan Shi, Preeti Gupta, Chiea-Chuen Khor, Terho Lehtimäki, Carol A. Wang, Carla M. T. Tiesler, Elisabeth Thiering, Marie Standl, Peter Rzehak, Eirini Marouli, Meian He, Cécile Lecoeur, Dolores Corella, Chao-Qiang Lai, Luis A. Moreno, Niina Pitkänen, Colin A. Boreham, Tao Zhang, Seang Mei Saw, Paul M. Ridker, Mariaelisa Graff, Frank J. A. van Rooij, Andre G. Uitterlinden, Albert Hofman, Diana van Heemst, Frits R. Rosendaal, Renée de Mutsert, Ralph Burkhardt, Christina-Alexandra Schulz, Ulrika Ericson, Yoichiro Kamatani, Jian-Min Yuan, Chris Power, Torben Hansen, Thorkild I. A. Sørensen, Anne Tjønneland, Kim Overvad, Graciela Delgado, Cyrus Cooper, Luc Djousse, Fernando Rivadeneira, Karen Jameson, Wanting Zhao, Jianjun Liu, Nanette R. Lee, Olli Raitakari, Mika Kähönen, Jorma Viikari, Veit Grote, Jean-Paul Langhendries, Berthold Koletzko, Joaquin Escribano, Elvira Verduci, George Dedoussis, Caizheng Yu, Yih Chung Tham, Blanche Lim, Sing Hui Lim, Philippe Froguel, Beverley Balkau, Nadia R. Fink, Rebecca K. Vinding, Astrid Sevelsted, Hans Bisgaard, Oscar Coltell, Jean Dallongeville, Frédéric Gottrand, Katja Pahkala, Harri Niinikoski, Elina Hyppönen, Oluf Pedersen, Winfried März, Hazel Inskip, Vincent W. V. Jaddoe, Elaine Dennison, Tien Yin Wong, Charumathi Sabanayagam, E-Shyong Tai, Karen L. Mohlke, David A. Mackey, Dariusz Gruszfeld, Panagiotis Deloukas, Katherine L. Tucker, Frédéric Fumeron, Klaus Bønnelykke, Peter Rossing, Ramon Estruch, Jose M. Ordovas, Donna K. Arnett, Aline Meirhaeghe, Philippe Amouyel, Ching-Yu Cheng, Xueling Sim, Yik Ying Teo, Rob M. van Dam, Woon-Puay Koh, Marju Orho-Melander, Markus Loeffler, Michiaki Kubo, Joachim Thiery, Dennis O. Mook-Kanamori, Dariush Mozaffarian, Bruce M. Psaty, Oscar H. Franco, Tangchun Wu, Kari E. North, George Davey Smith, Jorge E. Chavarro, Daniel I. Chasman, Lu Qi

Date Published: 4th Sep 2019

Publication Type: Journal article

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Since Drosophila melanogaster has proven to be a useful model system to study phenotypes of oncogenic mutations and to identify new anti-cancer drugs, we generated human BRAFV600E homologous dRaf mutant (dRaf A572E ) Drosophila melanogaster strains to use these for characterization of mutant phenotypes and exploit these phenotypes for drug testing. For mutant gene expression, the GAL4/UAS expression system was used. dRaf A572E was expressed tissue-specific in the eye, epidermis, heart, wings, secretory glands and in the whole animal. Expression of dRaf A572E under the control of an eye-specific driver led to semi-lethality and a rough eye phenotype. tumor, genetics, molecular biology, BRAF, small molecule inhibitors The vast majority of other tissue-specific and ubiquitous drivers led to a lethal phenotype only. The rough eye phenotype was used to test BRAF inhibitor vemurafenib and MEK1/2 inhibitor cobimetinib. There was no phenotype rescue by this treatment. However, a significant rescue of the lethal phenotype was observed under a gut-specific driver. Here, MEK1/2 inhibitor cobimetinib rescued Drosophila larvae to reach pupal stage in 37% of cases as compared to 1% in control experiments. Taken together, the BRAFV600E homolog dRaf A572E exerts mostly lethal effects in Drosophila. Gut-specific dRaf A572E expression might in future be developed further for drug testing. This article is protected by copyright. All rights reserved.

Authors: Isabelle Pfeifle, Jens Bohnekamp, Anna Volkhardt, Holger Kirsten, Astrid Rohwedder, Andreas Thum, Thomas M. Magin, Manfred Kunz

Date Published: 1st Aug 2019

Publication Type: Journal article

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The central neurocytoma (CN) is a rare brain tumor with a frequency of 0.1-0.5% of all brain tumors. According to the World Health Organization classification, it is a benign grade II tumor with good prognosis. However, some CN occur as histologically \textquotedblatypical\textquotedbl variant, combined with increasing proliferation and poor clinical outcome. Detailed genetic knowledge could be helpful to characterize a potential atypical behavior in CN. Only few publications on genetics of CN exist in the literature. Therefore, we performed cytogenetic analysis of an intraventricular neurocytoma WHO grade II in a 39-year-old male patient by use of genome-wide high-density single nucleotide polymorphism array (SNP array) and subtelomere FISH. Applying these techniques, we could detect known chromosomal aberrations and identified six not previously described chromosomal aberrations, gains of 1p36.33-p36.31, 2q37.1-q37.3, 6q27, 12p13.33-p13.31, 20q13.31-q13.33, and loss of 19p13.3-p12. Our case report contributes to the genetic knowledge about CN and to increased understanding of \textquotedbltypical\textquotedbl and \textquotedblatypical\textquotedbl variants.

Authors: Caroline Sander, Marco Wallenborn, Vivian Pascal Brandt, Peter Ahnert, Vera Reuschel, Christan Eisenlöffel, Wolfgang Krupp, Jürgen Meixensberger, Heidrun Holland

Date Published: 1st Jul 2019

Publication Type: Journal article

Abstract (Expand)

Cardiovascular disease (CVD) remains the leading cause of death worldwide and, despite continuous advances, better diagnostic and prognostic tools, as well as therapy, are needed. The human transcriptome, which is the set of all RNA produced in a cell, is much more complex than previously thought and the lack of dialogue between researchers and industrials and consensus on guidelines to generate data make it harder to compare and reproduce results. This European Cooperation in Science and Technology (COST) Action aims to accelerate the understanding of transcriptomics in CVD and further the translation of experimental data into usable applications to improve personalized medicine in this field by creating an interdisciplinary network. It aims to provide opportunities for collaboration between stakeholders from complementary backgrounds, allowing the functions of different RNAs and their interactions to be more rapidly deciphered in the cardiovascular context for translation into the clinic, thus fostering personalized medicine and meeting a current public health challenge. Thus, this Action will advance studies on cardiovascular transcriptomics, generate innovative projects, and consolidate the leadership of European research groups in the field.COST (European Cooperation in Science and Technology) is a funding organization for research and innovation networks (www.cost.eu).

Authors: Clarissa Pedrosa da C. Gomes, Bence Ágg, Andrejaana Andova, Serdal Arslan, Andrew Baker, Monika Barteková, Dimitris Beis, Fay Betsou, Stephanie Bezzina Wettinger, Branko Bugarski, Gianluigi Condorelli, Gustavo José Justo da Silva, Sabrina Danilin, David de Gonzalo-Calvo, Alfonso Buil, Maria Carmo-Fonseca, Francisco J. Enguita, Kyriacos Felekkis, Peter Ferdinandy, Mariann Gyöngyösi, Matthias Hackl, Kanita Karaduzovic-Hadziabdic, Jan Hellemans, Stephane Heymans, Markéta Hlavackova, Morten Andre Hoydal, Aleksandra Jankovic, Amela Jusic, Dimitris Kardassis, Risto Kerkelä, Gabriela M. Kuster, Päivi Lakkisto, Przemyslaw Leszek, Mitja Lustrek, Lars Maegdefessel, Fabio Martelli, Susana Novella, Timothy O’Brien, Christos Papaneophytou, Thierry Pedrazzini, Florence Pinet, Octavian Popescu, Ines Potočnjak, Emma Robinson, Shlomo Sasson, Markus Scholz, Maya Simionescu, Monika Stoll, Zoltan V. Varga, Manlio Vinciguerra, Angela Xuereb, Mehmet Birhan Yilmaz, Costanza Emanueli, Yvan Devaux, behalf of the EU-CardioRNA COST Action on

Date Published: 1st Jun 2019

Publication Type: Journal article

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