von Rong Fang ; Marco Düring ; Felix J. Bode ; Sebastian Stösser ; Julius Nicolai Meißner ; Peter Hermann ; Thomas Liman ; Christian H. Nolte ; Lucia Kerti ; Benno Ikenberg ; Kathleen Bernkopf ; Wenzel Glanz ; Daniel Janowitz ; Michael Wagner ; Katja Neumann ; Oliver Speck ; Emrah Düzel ; Benno Gesierich ; Anna Dewenter ; Annika Spottke ; Karin Waegemann ; Michael Görtler ; Silke Wunderlich ; Inga Zerr ; Gabor Petzold ; Matthias Endres ; Marios K. Georgakis ; Martin Dichgans
DAGA (46. : 2020 : Hannover) Tagungsband, DAGA 2020 - 46. Jahrestagung für Akustik Berlin : Deutsche Gesellschaft für Akustik e.V., 2020 (2020), Seite 330-332 1 Online-Ressource
von David Capper ; David T. W. Jones ; Daniel Schrimpf ; Dominik Sturm ; Christian Kölsche ; Felix Sahm ; David Reuss ; Annekathrin Kratz ; Annika K. Wefers ; Kristin Huang ; Kristian Wilfried Pajtler ; Leonille Schweizer ; Damian Stichel ; Florian Selt ; Hendrik Witt ; Till Milde ; Olaf Witt ; Wolfram Scheurlen ; Christoph Geisenberger ; Stefanie Brehmer ; Marcel Seiz-Rosenhagen ; Daniel Hänggi ; Andreas Kulozik ; Axel Benner ; Martin Bendszus ; Jürgen Debus ; Michael Platten ; Andreas Unterberg ; Wolfgang Wick ; Marcel Kool ; Christel Herold-Mende ; Andreas von Deimling ; Stefan Pfister ; Hermann L. Müller
Accurate pathological diagnosis is crucial for optimal management of patients with cancer. For the approximately 100 known tumour types of the central nervous system, standardization of the diagnostic process has been shown to be particularly challenging—with substantial inter-observer variability in the histopathological diagnosis of many tumour types. Here we present a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and demonstrate its application in a routine diagnostic setting. We show that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods, resulting in a change of diagnosis in up to 12% of prospective cases. For broader accessibility, we have designed a free online classifier tool, the use of which does not require any additional onsite data processing. Our results provide a blueprint for the generation of machine-learning-based tumour classifiers across other cancer entities, with the potential to fundamentally transform tumour pathology.
Nature London [u.a.] : Nature Publ. Group, 1869 555(2018), 7697, Seite 469-474 Online-Ressource
von Helena Greb ; Sebastian Hermann ; Petra Dirks ; Gabi Ommen ; Viola Kretschmer ; Konrad Schultz ; Georg Zoidl ; Reto Weiler ; Ulrike Janssen-Bienhold
von Simon Dubler ; Sebastian Weiterer ; Benedikt Hermann Siegler ; Markus A. Weigand ; Christoph Lichtenstern ; M. Laun ; Rainer Röhrig ; C. Koch ; A. Hecker
Candida species are commonly detected isolates from abdominal foci. The question remains as to who would benefit from early empiric treatment in cases of Candida peritonitis. This study collected real-life data on critically ill patients with Candida peritonitis to estimate the relevance of the chosen treatment strategy on the outcome of these patients. One hundred and thirty-seven surgical intensive care unit (ICU) patients with intra-abdominal invasive Candidiasis were included in the study. Fifty-six patients did not get any antifungal agent. Twenty-nine patients were empirically treated, and 52 patients were specifically treated. In the group without, with empiric and with specific antifungal treatment, the 30-day mortality rate was 33.9, 48.3 and 44.2 respectively. Candida albicans was the most frequently found species. Seven patients in the specific treatment group and one patient in the empiric treatment group emerged with candidaemia. Age, leucocyte count, APACHE II Score and acute liver failure were independent predictors of 30-day mortality in patients with Candida peritonitis. Not all patients with Candida peritonitis received antifungal treatment in real clinical practice. Patients with higher morbidity more often got antifungals. Early empirical therapy has not been associated with a better 30-day mortality.
Die Lichtadaptationsfähigkeit der Retina wird zu einem Großteil durch die Modulation der Gap Junction-vermittelten Kopplung von Horizontalzellen gewährleistet. Der Grad der Horizontalzellkopplung ist lichtabhängig. Unter mesopischen Lichtbedingungen liegt eine maximale Kopplung vor, während der Grad der Kopplung unter skotopischen und photopischen Lichtverhältnissen stark reduziert ist. Detaillierte Analysen der molekularen Mechanismen der Horizontalzellkopplung und deren Gap Junctions wurden exemplarisch am horizontalzellspezifischen Connexin cpCx53.8 durchgeführt. In dieser Arbeit wird gezeigt, dass die Entkopplung von Horizontalzellen mit einer gesteigerten Phosphorylierung von cpCx53.8 einhergeht. Diese Phosphorylierung wird durch die Aktivierung eines Proteinkinase A (PKA)- und eines Proteinkinase C (PKC)-Signalweges gewährleistet. Als putative Signalmoleküle zur Aktivierung dieser Signalwege unter photopischen Lichtbedingungen werden die Neuromodulatoren Dopamin (PKA) und Retinsäure (PKC) beschrieben. <dt.>
The ability of the retina to adapt to different light intensities is provided to a major part by the modulation of gap junction coupling of horizontal cell networks. The degree of coupling is light dependent, showing strong coupling under dim light conditions (mesopic) and decreased coupling in darkness (scotopic) and under bright light (photopic). Detailed analyses of the molecular mechanisms leading to modulation of horizontal cell coupling and their gap junctions have been accomplished exemplarily for the horizontal cell specific connexin cpCx53.8. This study provides evidence that uncoupling of horizontal cells is accompanied by increased phosphorylation of cpCx53.8. The phosphorylation is triggered by activation of a protein kinase A (PKA) and a protein kinase C (PKC) signal pathway. As putative signal molecules to activate these pathways under photopic conditions, dopamine (PKA) and retinoic acid (PKC) are discussed. <engl.>
