TY - JOUR A1 - Couch, Fergus J. A1 - Wang, Xianshu A1 - McGuffog, Lesley A1 - Lee, Andrew A1 - Olswold, Curtis A1 - Kuchenbaecker, Karoline B. A1 - Soucy, Penny A1 - Fredericksen, Zachary A1 - Barrowdale, Daniel A1 - Dennis, Joe A1 - Gaudet, Mia M. A1 - Dicks, Ed A1 - Kosel, Matthew A1 - Healey, Sue A1 - Sinilnikova, Olga M. A1 - Lee, Adam A1 - Bacot, Françios A1 - Vincent, Daniel A1 - Hogervorst, Frans B. L. A1 - Peock, Susan A1 - Stoppa-Lyonnet, Dominique A1 - Jakubowska, Anna A1 - Radice, Paolo A1 - Schmutzler, Rita Katharina A1 - Domchek, Susan M. A1 - Piedmonte, Marion A1 - Singer, Christian F. A1 - Friedman, Eitan A1 - Thomassen, Mads A1 - Hansen, Thomas V. O. A1 - Neuhausen, Susan L. A1 - Szabo, Csilla I. A1 - Blanco, Ingnacio A1 - Greene, Mark H. A1 - Karlan, Beth Y. A1 - Garber, Judy A1 - Phelan, Catherine M. A1 - Weitzel, Jeffrey N. A1 - Montagna, Marco A1 - Olah, Edith A1 - Andrulis, Irene L. A1 - Godwin, Andrew K. A1 - Yannoukakos, Drakoulis A1 - Goldgar, David E. A1 - Caldes, Trinidad A1 - Nevanlinna, Heli A1 - Osorio, Ana A1 - Terry, Mary Beth A1 - Daly, Mary B. A1 - van Rensburg, Elisabeth J. A1 - Hamann, Ute A1 - Ramus, Susan J. A1 - Toland, Amanda Ewart A1 - Caligo, Maria A. A1 - Olopade, Olufunmilayo I. A1 - Tung, Nadine A1 - Claes, Kathleen A1 - Beattie, Mary S. A1 - Southey, Melissa C. A1 - Imyanitov, Evgeny N. A1 - Tischkowitz, Marc A1 - Janavicius, Ramunas A1 - John, Esther M. A1 - Kwong, Ava A1 - Diez, Orland A1 - Kwong, Ava A1 - Balmaña, Judith A1 - Barkardottir, Rosa B. A1 - Arun, Banu K. A1 - Rennert, Gad A1 - Teo, Soo-Hwang A1 - Ganz, Patricia A. A1 - Campbell, Ian A1 - van der Hout, Annemarie H. A1 - van Deurzen, Carolien H. M. A1 - Seynaeve, Caroline A1 - Garcia, Encarna B. Gómez A1 - van Leeuwen, Flora E. A1 - Meijers-Heijboer, Hanne E. J. A1 - Gille, Johannes J. P. A1 - Ausems, Magreet G. E. M. A1 - Blok, Marinus J. A1 - Ligtenberg, Marjolinjin J. L. A1 - Rookus, Matti A. A1 - Devilee, Peter A1 - Verhoef, Senno A1 - van Os, Theo A. M. A1 - Wijnen, Juul T. A1 - Frost, Debra A1 - Ellis, Steve A1 - Fineberg, Elena A1 - Platte, Radke A1 - Evans, D. Gareth A1 - Izatt, Luise A1 - Eeles, Rosalind A. A1 - Adlard, Julian A1 - Eccles, Diana M. A1 - Cook, Jackie A1 - Brewer, Carole A1 - Douglas, Fiona A1 - Hodgson, Shirley A1 - Morrison, Patrick J. A1 - Side, Lucy E. A1 - Donaldson, Alan A1 - Houghton, Catherine A1 - Rogers, Mark T. A1 - Dorkins, Huw A1 - Eason, Jacqueline A1 - Gregory, Helen A1 - McCann, Emma A1 - Murray, Alex A1 - Calender, Alain A1 - Hardouin, Agnès A1 - Berthet, Pascaline A1 - Delnatte, Capucine A1 - Nogues, Catherine A1 - Lasset, Christine A1 - Houdayer, Claude A1 - Leroux,, Dominique A1 - Rouleau, Etienne A1 - Prieur, Fabienne A1 - Damiola, Francesca A1 - Sobol, Hagay A1 - Coupier, Isabelle A1 - Venat-Bouvet, Laurence A1 - Castera, Laurent A1 - Gauthier-Villars, Marion A1 - Léoné, Mélanie A1 - Pujol, Pascal A1 - Mazoyer, Sylvie A1 - Bignon, Yves-Jean A1 - Zlowocka-Perlowska, Elzbieta A1 - Gronwald, Jacek A1 - Lubinski,, Jan A1 - Durda, Katarzyna A1 - Jaworska, Katarzyna A1 - Huzarski, Tomasz A1 - Spurdle, Amanda B. A1 - Viel, Alessandra A1 - Peissel, Bernhard A1 - Bonanni, Bernardo A1 - Melloni, Guilia A1 - Ottini, Laura A1 - Papi, Laura A1 - Varesco, Liliana A1 - Tibiletti, Maria Grazia A1 - Peterlongo, Paolo A1 - Volorio, Sara A1 - Manoukian, Siranoush A1 - Pensotti, Valeria A1 - Arnold, Norbert A1 - Engel, Christoph A1 - Deissler, Helmut A1 - Gadzicki, Dorothea A1 - Gehrig, Andrea A1 - Kast, Karin A1 - Rhiem, Kerstin A1 - Meindl, Alfons A1 - Niederacher, Dieter A1 - Ditsch, Nina A1 - Plendl, Hansjoerg A1 - Preisler-Adams, Sabine A1 - Engert, Stefanie A1 - Sutter, Christian A1 - Varon-Mateeva, Raymenda A1 - Wappenschmidt, Barbara A1 - Weber, Bernhard H. F. A1 - Arver, Brita A1 - Stenmark-Askmalm, Marie A1 - Loman, Niklas A1 - Rosenquist, Richard A1 - Einbeigi, Zakaria A1 - Nathanson, Katherine L. A1 - Rebbeck, Timothy R. A1 - Blank, Stephanie V. A1 - Cohn, David E. A1 - Rodriguez, Gustavo C. A1 - Small, Laurie A1 - Friedlander, Michael A1 - Bae-Jump, Victoria L. A1 - Fink-Retter, Anneliese A1 - Rappaport, Christine A1 - Gschwantler-Kaulich, Daphne A1 - Pfeiler, Georg A1 - Tea, Muy-Kheng A1 - Lindor, Noralane M. A1 - Kaufman, Bella A1 - Paluch, Shani Shimon A1 - Laitman, Yael A1 - Skytte, Anne-Bine A1 - Gerdes, Anne-Marie A1 - Pedersen, Inge Sokilde A1 - Moeller, Sanne Traasdahl A1 - Kruse, Torben A. A1 - Jensen, Uffe Birk A1 - Vijai, Joseph A1 - Sarrel, Kara A1 - Robson, Mark A1 - Kauff, Noah A1 - Mulligan, Anna Marie A1 - Glendon, Gord A1 - Ozcelik, Hilmi A1 - Ejlertsen, Bent A1 - Nielsen, Finn C. A1 - Jønson, Lars A1 - Andersen, Mette K. A1 - Ding, Yuan Chun A1 - Steele, Linda A1 - Foretova, Lenka A1 - Teulé, Alex A1 - Lazaro, Conxi A1 - Brunet, Joan A1 - Pujana, Miquel Angel A1 - Mai, Phuong L. A1 - Loud, Jennifer T. A1 - Walsh, Christine A1 - Lester, Jenny A1 - Orsulic, Sandra A1 - Narod, Steven A. A1 - Herzog, Josef A1 - Sand, Sharon R. A1 - Tognazzo, Silvia A1 - Agata, Simona A1 - Vaszko, Tibor A1 - Weaver, Joellen A1 - Stravropoulou, Alexandra V. A1 - Buys, Saundra S. A1 - Romero, Atocha A1 - de la Hoya, Miguel A1 - Aittomäki, Kristiina A1 - Muranen, Taru A. A1 - Duran, Mercedes A1 - Chung, Wendy K. A1 - Lasa, Adriana A1 - Dorfling, Cecilia M. A1 - Miron, Alexander A1 - Benitez, Javier A1 - Senter, Leigha A1 - Huo, Dezheng A1 - Chan, Salina B. A1 - Sokolenko, Anna P. A1 - Chiquette, Jocelyne A1 - Tihomirova, Laima A1 - Friebel, Tara M. A1 - Agnarsson, Bjarne A. A1 - Lu, Karen H. A1 - Lejbkowicz, Flavio A1 - James, Paul A. A1 - Hall, Per A1 - Dunning, Alison M. A1 - Tessier, Daniel A1 - Cunningham, Julie A1 - Slager, Susan L. A1 - Chen, Wang A1 - Hart, Steven A1 - Stevens, Kristen A1 - Simard, Jacques A1 - Pastinen, Tomi A1 - Pankratz, Vernon S. A1 - Offit, Kenneth A1 - Easton, Douglas F. A1 - Chenevix-Trench, Georgia A1 - Antoniou, Antonis C. T1 - Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk JF - PLOS Genetics N2 - BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 x 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 x 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 x 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2 x 10(-4)). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers. KW - common variants KW - susceptibility alleles KW - genetic variants KW - modifiers KW - ZNF365 KW - investigators KW - population KW - consortium KW - selection KW - subtypes Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-127947 SN - 1553-7404 VL - 9 IS - 3 ER - TY - JOUR A1 - Gröbner, Susanne N. A1 - Worst, Barbara C. A1 - Weischenfeldt, Joachim A1 - Buchhalter, Ivo A1 - Kleinheinz, Kortine A1 - Rudneva, Vasilisa A. A1 - Johann, Pascal D. A1 - Balasubramanian, Gnana Prakash A1 - Segura-Wang, Maia A1 - Brabetz, Sebastian A1 - Bender, Sebastian A1 - Hutter, Barbara A1 - Sturm, Dominik A1 - Pfaff, Elke A1 - Hübschmann, Daniel A1 - Zipprich, Gideon A1 - Heinold, Michael A1 - Eils, Jürgen A1 - Lawerenz, Christian A1 - Erkek, Serap A1 - Lambo, Sander A1 - Waszak, Sebastian A1 - Blattmann, Claudia A1 - Borkhardt, Arndt A1 - Kuhlen, Michaela A1 - Eggert, Angelika A1 - Fulda, Simone A1 - Gessler, Manfred A1 - Wegert, Jenny A1 - Kappler, Roland A1 - Baumhoer, Daniel A1 - Stefan, Burdach A1 - Kirschner-Schwabe, Renate A1 - Kontny, Udo A1 - Kulozik, Andreas E. A1 - Lohmann, Dietmar A1 - Hettmer, Simone A1 - Eckert, Cornelia A1 - Bielack, Stefan A1 - Nathrath, Michaela A1 - Niemeyer, Charlotte A1 - Richter, Günther H. A1 - Schulte, Johannes A1 - Siebert, Reiner A1 - Westermann, Frank A1 - Molenaar, Jan J. A1 - Vassal, Gilles A1 - Witt, Hendrik A1 - Burkhardt, Birgit A1 - Kratz, Christian P. A1 - Witt, Olaf A1 - van Tilburg, Cornelis M. A1 - Kramm, Christof M. A1 - Fleischhack, Gudrun A1 - Dirksen, Uta A1 - Rutkowski, Stefan A1 - Frühwald, Michael A1 - Hoff, Katja von A1 - Wolf, Stephan A1 - Klingebeil, Thomas A1 - Koscielniak, Ewa A1 - Landgraf, Pablo A1 - Koster, Jan A1 - Resnick, Adam C. A1 - Zhang, Jinghui A1 - Liu, Yanling A1 - Zhou, Xin A1 - Waanders, Angela J. A1 - Zwijnenburg, Danny A. A1 - Raman, Pichai A1 - Brors, Benedikt A1 - Weber, Ursula D. A1 - Northcott, Paul A. A1 - Pajtler, Kristian W. A1 - Kool, Marcel A1 - Piro, Rosario M. A1 - Korbel, Jan O. A1 - Schlesner, Matthias A1 - Eils, Roland A1 - Jones, David T. W. A1 - Lichter, Peter A1 - Chavez, Lukas A1 - Zapatka, Marc A1 - Pfister, Stefan M. T1 - The landscape of genomic alterations across childhood cancers JF - Nature N2 - Pan-cancer analyses that examine commonalities and differences among various cancer types have emerged as a powerful way to obtain novel insights into cancer biology. Here we present a comprehensive analysis of genetic alterations in a pan-cancer cohort including 961 tumours from children, adolescents, and young adults, comprising 24 distinct molecular types of cancer. Using a standardized workflow, we identified marked differences in terms of mutation frequency and significantly mutated genes in comparison to previously analysed adult cancers. Genetic alterations in 149 putative cancer driver genes separate the tumours into two classes: small mutation and structural/copy-number variant (correlating with germline variants). Structural variants, hyperdiploidy, and chromothripsis are linked to TP53 mutation status and mutational signatures. Our data suggest that 7–8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials. KW - cancer genomics KW - oncogenesis KW - paediatric cancer KW - predictive markers KW - translational research Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-229579 VL - 555 ER - TY - THES A1 - Weber, Daniel T1 - Morphologische und funktionelle MRT-Infarktcharakterisierung und Entwicklung einer diffusionsgewichteten MRT-Methode T1 - Morphological and functional MRI infarct characterization and development of a diffusion-weighted MRI method N2 - Diffusionstensorbildgebung im Vergleich zu anderen Parametermethoden für die Infarktcharakterisierung Ziel dieses Teils der Arbeit war die Klärung der Frage, welches Potential verschiedene MR-Parametersequenzen bei der Charakterisierung eines myokardialen Infarkts sowohl im akuten als auch im chronischen Fall haben. Dazu wurde eine Studie mit akut und chronisch infarzierten Rattenherzen durchgeführt. Untersucht wurden die Parameter T1, T2 und T2* sowie die aus der Diffusionstensorbildgebung berechneten Parameter ADC, FA, cs, cp und cl . Es zeigte sich, dass es kein Analogon zum bei einer cerebralen Ischämie bekannten Mismatch-Konzept gibt. Weder im akuten noch im chronischen war Fall eine ausgewiesene Differenz im diagnostizierten Infarktareal zwischen verschiedenen Sequenzen feststellbar. Alles in allem eignen sich zur detaillierten Charakterisierung der Infarktnarbe am besten eine T2*- oder eine Diffusionstensorsequenz. Die T2*-Sequenz liefert optisch das aufschlussreichere Bild, die aufwendigere Diffusionstensorsequenz dagegen bietet aufgrund der vielfachen Darstellungsmöglichkeiten im Postprocessing ein Mehr an Information und zeigt dazu eine Veränderung der Narbe im Zeitverlauf. Oxygenierungsmessung am Mäuseherz in vivo Die Charakterisierung einer Infarktnarbe kann auch über die Darstellung morphologischer Strukturen hinaus erfolgen. Die Oxygenierung ist ein komplexer Parameter, der funktionelle Auskunft über die Vaskularisierung und Viabilität des Gewebes geben kann. Zugang zu diesem Parameter erhält man über T2*-Messungen, da der Parameter T2* sensitiv auf chemisch gebundenen Sauerstoff reagiert. Hier wurden der Einfluss von reiner Sauerstoffatmung im Gegensatz zu normaler Raumluftatmung auf die Oxygenierung bei gesunden und infarzierten Mäusen untersucht. Die Messungen wurden trotz der Schwierigkeiten, die durch die Bewegung durch Atmung und Herzschlag entstehen, in vivo bei 17,6 Tesla implementiert und durchgeführt. Die Auflösung war ausreichend, um auch nach Infarkt extrem ausgedünnte Myokardwände gut auflösen und charakterisieren zu können. Der Effekt auf das Oxygenierungslevel ist stark unterschiedlich zwischen normalen und infarzierten Herzen, woraus auf eine noch nicht weit fortgeschrittene Revaskularisierung der Narbe eine Woche nach Infarzierung geschlossen werden kann. Die Methode wurde darüber hinaus an einem 7,0 Tesla-Magneten zur Verwendung an Ratten implementiert und auf das im Gegensatz zur Maus veränderte Atmungsverhalten der Ratte angepasst. Zum einen kann dadurch der Einfluss des hohen Magnetfeldes auf die Oxygenierungsmessung untersucht werden, zum anderen ist das Herz als zu untersuchendes Objekt bei der Ratte größer. Diffusionswichtung mittels Hole-Burning Die in dieser Arbeit zur Charakterisierung des Herzens verwendete Diffusionsmethode kann im Grenzfall von kurzen T2-Relaxationszeiten an ihre Grenzen stoßen: Bei den verwendeten starken Magnetfeldern klingt das messbare Signal aufgrund der Relaxationszeit T2 oft sehr schnell ab. Daher wurde eine Methode entwickelt, die einen völlig neuen Ansatz zur diffusionsgewichteten Bildgebung verfolgt, bei dem die Informationen über die Diffusion unabhängig von der limitierenden T2-Zeit gewonnen werden können. Die sog. Hole-Burning-Diffusionssequenz verwendet in einem Vorexperiment lediglich die Longitudinalmagnetisierung zur Diffusionswichtung. Das Signal wird dann mit einer schnellen Auslesesequenz akquiriert. Bei der Präparation werden zunächst auf Subvoxel-Niveau Streifen "gebrannt", d.h. die Magnetisierung wird dort gesättigt. Bis zur nächsten Sättigung ist das Verhalten der Magnetisierung abhängig von der T1-Relaxation in diesem Bereich und vom Diffusionsverhalten. Durch rasches Wiederholen des selektiven Pulszugs wird schließlich eine Gleichgewichtsmagnetisierung erreicht, die von der Diffusionskonstanten D und der T1-Relaxationszeit abhängt. Im Rahmen dieser Arbeit wurden die Abhängigkeiten verschiedener Sequenzparameter untersucht und diese mittels Simulationen optimiert. Außerdem wurde die Sequenz an einem Scanner implementiert und erste Experimente damit durchgeführt. Mit Hilfe von Simulationen konnten dazu Lookup-Tabellen generiert werden, mit denen in bestimmten Bereichen (insbesondere bei nicht zu kurzen T1-Relaxationszeiten) sowohl die Diffusionskonstante D als auch die T1-Relaxationszeit quantifiziert werden konnte. N2 - Diffusion tensor imaging for the characterization of myocardial infarction in comparison to other methods The aim of this part of this work was to evaluate the potential of different MR sequences for the characterization of myocardial infarction in both the acute and chronic case. Therefore a study of acute as well as chronic infarcted rat hearts was performed, and the parameters T1, T2, T2* and the parameters ADC, FA, cs, cp and cl calculated from the diffusion tensor images were investigated. It turned out that there is no equivalent to the ischemia. Neither in the acute nor in the chronic case, a notably difference inside the affected area was detectable between different sequences. All in all, for detailed characterization of the infarct scar a T2* or a diffusion tensor sequence are most suitable. The T2* sequence provides a more informative visual image, whereas the more time-consuming diffusion tensor sequence provides a surplus of information due to the multiple display options in post-processing and shows the remodelling of the scar tissue over time. Oxygen level measurements in mouse hearts in vivo The characterization of an infarct scar can also go beyond the representation of morphological structure. The oxygenation is a complex parameter that can provide functional information of the vascularization and viability of the tissue. Access to this parameter is obtained by T2*-measurements, as the parameter T2* is sensitive to chemically bound oxygen. The influence of pure oxygen breathing in contrast to normal room air breathing on the oxygenation level in healthy and infarcted mice have been explored. Despite the difficulties caused by the movement due to respiration and heartbeat the measurements were implemented and carried out at 17.6 Tesla in vivo. The resolution was sufficient to resolve and investigate extremely thinned heart walls after infarction. The effect on the oxygenation level varies considerably between normal and infarcted hearts; that may be caused by a not yet advanced revascularization of the scar. In addition, the method was implemented to a 7.0 Tesla magnet for use in rats and adapted to the respiration of rats, which is different to the respiration of mice. The first reason was that the influence of the higher magnetic field on the measurement of the oxygenation level could be examined. Second, the heart as the examined object is larger in rats. Diffusion weighting using hole burning The MR diffusion method used in this work for the characterization of myocardial infarctions could be limited by extremely short T2 relaxation times. With the strong magnetic fields used here the measurable signal decays very fast due to the relaxation time T2. Therefore, a method for a completely new approach to diffusion-weighted imaging was developed, where the diffusion weighting can be obainted without being limited by the time constant T2. The so-called hole-burning diffusion sequence uses only the longitudinal magnetization for the diffusion weighting in a preliminary experiment. The signal is then acquired with a fast read-out sequence. During the preparation stripes will be "burned" into the magnetization on a subvoxel level, i.e. the magnetization is saturated there. Until the next saturation pulse the behavior of the magnetization depends first on the T1 relaxation time in this area and second on the diffusion. By rapidly repeating the selective pulse train a steady state magnetization dependend on the diffusion constant D and the T1 relaxation time is reached. In this work the dependencies between different sequence parameters were investigated and optimized using simulations. In addition, the sequence was implemented on a MR scanner and first experiments were carried out. With simulated lookup-tables we were able to quantify both the diffusion coefficient D and the T1 relaxation time in the case of not too short relaxation times T1. KW - Kernspintomografie KW - Infarkt KW - MRI KW - infarct KW - characterization KW - diffusion KW - hole-burning KW - NMR-Tomographie KW - Anisotrope Diffusion KW - Diffusion KW - Spektrales Lochbrennen KW - Herzinfarkt Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-71157 ER - TY - JOUR A1 - Brevoord, Daniel A1 - Kranke, Peter A1 - Kuijpers, Marijn A1 - Weber, Nina A1 - Hollmann, Markus A1 - Preckel, Benedikt T1 - Remote Ischemic Conditioning to Protect against Ischemia-Reperfusion Injury: A Systematic Review and Meta-Analysis JF - PLoS One N2 - Background: Remote ischemic conditioning is gaining interest as potential method to induce resistance against ischemia reperfusion injury in a variety of clinical settings. We performed a systematic review and meta-analysis to investigate whether remote ischemic conditioning reduces mortality, major adverse cardiovascular events, length of stay in hospital and in the intensive care unit and biomarker release in patients who suffer from or are at risk for ischemia reperfusion injury. Methods and Results: Medline, EMBASE and Cochrane databases were searched for randomized clinical trials comparing remote ischemic conditioning, regardless of timing, with no conditioning. Two investigators independently selected suitable trials, assessed trial quality and extracted data. 23 studies in patients undergoing cardiac surgery (15 studies), percutaneous coronary intervention (four studies) and vascular surgery (four studies), comprising in total 1878 patients, were included in this review. Compared to no conditioning, remote ischemic conditioning did not reduce mortality (odds ratio 1.22 [95% confidence interval 0.48, 3.07]) or major adverse cardiovascular events (0.65 [0.38, 1.14]). However, the incidence of myocardial infarction was reduced with remote ischemic conditioning (0.50 [0.31, 0.82]), as was peak troponin release (standardized mean difference -0.28 [-0.47, -0.09]). Conclusion: There is no evidence that remote ischemic conditioning reduces mortality associated with ischemic events; nor does it reduce major adverse cardiovascular events. However, remote ischemic conditioning did reduce the incidence of peri-procedural myocardial infarctions, as well as the release of troponin. KW - cardiac protection KW - stent KW - acute kidney injury KW - coronary artery bypass KW - randomized controlled trial KW - myocardial-infarction KW - aneurysm repair KW - graft surgery KW - humans KW - angioplasty Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-134471 VL - 7 IS - 7 ER - TY - JOUR A1 - Vogel, Patrick A1 - Markert, Jonathan A1 - Rückert, Martin A. A1 - Herz, Stefan A1 - Keßler, Benedikt A1 - Dremel, Kilian A1 - Althoff, Daniel A1 - Weber, Matthias A1 - Buzug, Thorsten M. A1 - Bley, Thorsten A. A1 - Kullmann, Walter H. A1 - Hanke, Randolf A1 - Zabler, Simon A1 - Behr, Volker C. T1 - Magnetic Particle Imaging meets computed tomography: first simultaneous imaging JF - Scientific Reports N2 - Magnetic Particle Imaging (MPI) is a promising new tomographic modality for fast as well as three-dimensional visualization of magnetic material. For anatomical or structural information an additional imaging modality such as computed tomography (CT) is required. In this paper, the first hybrid MPI-CT scanner for multimodal imaging providing simultaneous data acquisition is presented. KW - Applied physics KW - Biomedical engineering KW - Imaging techniques Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-202501 VL - 9 ER - TY - JOUR A1 - Frank, Daniel O. A1 - Dengjel, Jörn A1 - Wilfling, Florian A1 - Kozjak-Pavlovic, Vera A1 - Häcker, Georg A1 - Weber, Arnim T1 - The Pro-Apoptotic BH3-Only Protein Bim Interacts with Components of the Translocase of the Outer Mitochondrial Membrane (TOM) JF - PLoS ONE N2 - The pro-apoptotic Bcl-2-family protein Bim belongs to the BH3-only proteins known as initiators of apoptosis. Recent data show that Bim is constitutively inserted in the outer mitochondrial membrane via a C-terminal transmembrane anchor from where it can activate the effector of cytochrome c-release, Bax. To identify regulators of Bim-activity, we conducted a search for proteins interacting with Bim at mitochondria. We found an interaction of Bim with Tom70, Tom20 and more weakly with Tom40, all components of the Translocase of the Outer Membrane (TOM). In vitro import assays performed on tryptically digested yeast mitochondria showed reduced Bim insertion into the outer mitochondrial membrane (OMM) indicating that protein receptors may be involved in the import process. However, RNAi against components of TOM (Tom40, Tom70, Tom22 or Tom20) by siRNA, individually or in combination, did not consistently change the amount of Bim on HeLa mitochondria, either at steady state or upon de novo-induction. In support of this, the individual or combined knockdowns of TOM receptors also failed to alter the susceptibility of HeLa cells to Bim-induced apoptosis. In isolated yeast mitochondria, lack of Tom70 or the TOM-components Tom20 or Tom22 alone did not affect the import of Bim into the outer mitochondrial membrane. In yeast, expression of Bim can sensitize the cells to Bax-dependent killing. This sensitization was unaffected by the absence of Tom70 or by an experimental reduction in Tom40. Although thus the physiological role of the Bim-TOM-interaction remains unclear, TOM complex components do not seem to be essential for Bim insertion into the OMM. Nevertheless, this association should be noted and considered when the regulation of Bim in other cells and situations is investigated. KW - bax KW - preproteins KW - phosphorylation KW - proteomics KW - degradation KW - cells KW - family KW - import KW - BH3 domains KW - Bcl-2 proteins Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-143301 VL - 10 IS - 4 ER - TY - JOUR A1 - Herrmann, Johannes A1 - Lotz, Christopher A1 - Karagiannidis, Christian A1 - Weber-Carstens, Steffen A1 - Kluge, Stefan A1 - Putensen, Christian A1 - Wehrfritz, Andreas A1 - Schmidt, Karsten A1 - Ellerkmann, Richard K. A1 - Oswald, Daniel A1 - Lotz, Gösta A1 - Zotzmann, Viviane A1 - Moerer, Onnen A1 - Kühn, Christian A1 - Kochanek, Matthias A1 - Muellenbach, Ralf A1 - Gaertner, Matthias A1 - Fichtner, Falk A1 - Brettner, Florian A1 - Findeisen, Michael A1 - Heim, Markus A1 - Lahmer, Tobias A1 - Rosenow, Felix A1 - Haake, Nils A1 - Lepper, Philipp M. A1 - Rosenberger, Peter A1 - Braune, Stephan A1 - Kohls, Mirjam A1 - Heuschmann, Peter A1 - Meybohm, Patrick T1 - Key characteristics impacting survival of COVID-19 extracorporeal membrane oxygenation JF - Critical Care N2 - Background Severe COVID-19 induced acute respiratory distress syndrome (ARDS) often requires extracorporeal membrane oxygenation (ECMO). Recent German health insurance data revealed low ICU survival rates. Patient characteristics and experience of the ECMO center may determine intensive care unit (ICU) survival. The current study aimed to identify factors affecting ICU survival of COVID-19 ECMO patients. Methods 673 COVID-19 ARDS ECMO patients treated in 26 centers between January 1st 2020 and March 22nd 2021 were included. Data on clinical characteristics, adjunct therapies, complications, and outcome were documented. Block wise logistic regression analysis was applied to identify variables associated with ICU-survival. Results Most patients were between 50 and 70 years of age. PaO\(_{2}\)/FiO\(_{2}\) ratio prior to ECMO was 72 mmHg (IQR: 58–99). ICU survival was 31.4%. Survival was significantly lower during the 2nd wave of the COVID-19 pandemic. A subgroup of 284 (42%) patients fulfilling modified EOLIA criteria had a higher survival (38%) (p = 0.0014, OR 0.64 (CI 0.41–0.99)). Survival differed between low, intermediate, and high-volume centers with 20%, 30%, and 38%, respectively (p = 0.0024). Treatment in high volume centers resulted in an odds ratio of 0.55 (CI 0.28–1.02) compared to low volume centers. Additional factors associated with survival were younger age, shorter time between intubation and ECMO initiation, BMI > 35 (compared to < 25), absence of renal replacement therapy or major bleeding/thromboembolic events. Conclusions Structural and patient-related factors, including age, comorbidities and ECMO case volume, determined the survival of COVID-19 ECMO. These factors combined with a more liberal ECMO indication during the 2nd wave may explain the reasonably overall low survival rate. Careful selection of patients and treatment in high volume ECMO centers was associated with higher odds of ICU survival. KW - Covid-19 KW - extracorporeal membrane oxygenation (ECMO) KW - intensive care unit Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-299686 VL - 26 IS - 1 ER -