TY - JOUR A1 - Mühlberg, Eric A1 - Umstätter, Florian A1 - Domhan, Cornelius A1 - Hertlein, Tobias A1 - Ohlsen, Knut A1 - Krause, Andreas A1 - Kleist, Christian A1 - Beijer, Barbro A1 - Zimmermann, Stefan A1 - Haberkorn, Uwe A1 - Mier, Walter A1 - Uhl, Philipp T1 - Vancomycin-lipopeptide conjugates with high antimicrobial activity on vancomycin-resistant enterococci JF - Pharmaceuticals N2 - Multidrug-resistant bacteria represent one of the most important health care problems worldwide. While there are numerous drugs available for standard therapy, there are only a few compounds capable of serving as a last resort for severe infections. Therefore, approaches to control multidrug-resistant bacteria must be implemented. Here, a strategy of reactivating the established glycopeptide antibiotic vancomycin by structural modification with polycationic peptides and subsequent fatty acid conjugation to overcome the resistance of multidrug-resistant bacteria was followed. This study especially focuses on the structure–activity relationship, depending on the modification site and fatty acid chain length. The synthesized conjugates showed high antimicrobial potential on vancomycin-resistant enterococci. We were able to demonstrate that the antimicrobial activity of the vancomycin-lipopeptide conjugates depends on the chain length of the attached fatty acid. All conjugates showed good cytocompatibility in vitro and in vivo. Radiolabeling enabled the in vivo determination of pharmacokinetics in Wistar rats by molecular imaging and biodistribution studies. An improved biodistribution profile in comparison to unmodified vancomycin was observed. While vancomycin is rapidly excreted by the kidneys, the most potent conjugate shows a hepatobiliary excretion profile. In conclusion, these results demonstrate the potential of the structural modification of already established antibiotics to provide highly active compounds for tackling multidrug-resistant bacteria. KW - antibiotics KW - multidrug-resistant bacteria KW - enterococci KW - vancomycin KW - structural modification KW - fatty acids KW - polycationic peptides Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-205879 SN - 1424-8247 VL - 13 IS - 6 ER - TY - JOUR A1 - Hovestadt, Thomas A1 - Poethke, Hans J. A1 - Messner, Stefan T1 - Variability in dispersal distances generates typical successional patterns: a simple simulation model N2 - More recently, it became clear that conclusions drawn from traditional ecological theory may be altered substantially if the spatial dimension of species interactions is considered explicitly. Regardless of the details of these models, spatially explicit simulations of ecological processes have nearly universally shown that spatial or spatio-temporal patterns in species distributions can emerge even from homogeneous starting conditions; limited dispersal is one of the key factors responsible for the development of such aggregated and patchy distributions (cf., Pacala 1986, Holmes et al. 1994, Molofsky 1994, Tilman 1994, Bascompte and Sole 1995, 1997, 1998, Jeltsch et al. 1999). In line with these ideas, we wish to draw attention to the fact that in heterogeneous landscapes differences in characteristic dispersal distances between species are a sufficient precondition for the emergence of a successional pattern. We will use a simple, spatially explicit simulation program to demonstrate the validity of this statement. We will also show that the speed of the successional progress depends on scale and heterogeneity in the distribution of suitable habitat. KW - community KW - competition KW - environments KW - habitats KW - life-history Y1 - 2000 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-48178 ER - TY - JOUR A1 - Toussaint, André A1 - Richter, Anne A1 - Mantel, Frederick A1 - Flickinger, John C. A1 - Grills, Inga Siiner A1 - Tyagi, Neelam A1 - Sahgal, Arjun A1 - Letourneau, Daniel A1 - Sheehan, Jason P. A1 - Schlesinger, David J. A1 - Gerszten, Peter Carlos A1 - Guckenberger, Matthias T1 - Variability in spine radiosurgery treatment planning – results of an international multi-institutional study JF - Radiation Oncology N2 - Background The aim of this study was to quantify the variability in spinal radiosurgery (SRS) planning practices between five international institutions, all member of the Elekta Spine Radiosurgery Research Consortium. Methods Four institutions provided one representative patient case each consisting of the medical history, CT and MR imaging. A step-wise planning approach was used where, after each planning step a consensus was generated that formed the basis for the next planning step. This allowed independent analysis of all planning steps of CT-MR image registration, GTV definition, CTV definition, PTV definition and SRS treatment planning. In addition, each institution generated one additional SRS plan for each case based on intra-institutional image registration and contouring, independent of consensus results. Results Averaged over the four cases, image registration variability ranged between translational 1.1 mm and 2.4 mm and rotational 1.1° and 2.0° in all three directions. GTV delineation variability was 1.5 mm in axial and 1.6 mm in longitudinal direction averaged for the four cases. CTV delineation variability was 0.8 mm in axial and 1.2 mm in longitudinal direction. CTV-to-PTV margins ranged between 0 mm and 2 mm according to institutional protocol. Delineation variability was 1 mm in axial directions for the spinal cord. Average PTV coverage for a single fraction18 Gy prescription was 87 ± 5 %; Dmin to the PTV was 7.5 ± 1.8 Gy averaged over all cases and institutions. Average Dmax to the PRV_SC (spinal cord + 1 mm) was 10.5 ± 1.6 Gy and the average Paddick conformity index was 0.69 ± 0.06. Conclusions Results of this study reflect the variability in current practice of spine radiosurgery in large and highly experienced academic centers. Despite close methodical agreement in the daily workflow, clinically significant variability in all steps of the treatment planning process was demonstrated. This may translate into differences in patient clinical outcome and highlights the need for consensus and established delineation and planning criteria. KW - planning variability KW - spine radiosurgery KW - vertebral metastases KW - delineation Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-146687 VL - 11 IS - 57 ER - TY - JOUR A1 - Juhasz, Gabriella A1 - Gonda, Xenia A1 - Hullam, Gabor A1 - Eszlari, Nora A1 - Kovacs, David A1 - Lazary, Judit A1 - Pap, Dorottya A1 - Petschner, Peter A1 - Elliott, Rebecca A1 - Deakin, John Francis William A1 - Muir Anderson, Ian A1 - Antal, Peter A1 - Lesch, Klaus-Peter A1 - Bagdy, Gyorgy T1 - Variability in the effect of 5-HTTLPR on depression in a large European population: the role of age, symptom profile, type and intensity of life stressors JF - PLoS ONE N2 - Background Although 5-HTTLPR has been shown to influence the risk of life stress-induced depression in the majority of studies, others have produced contradictory results, possibly due to weak effects and/or sample heterogeneity. Methods In the present study we investigated how age, type and intensity of life-stressors modulate the effect of 5-HTTLPR on depression and anxiety in a European population cohort of over 2300 subjects. Recent negative life events (RLE), childhood adversity (CHA), lifetime depression, Brief Symptoms Inventory (BSI) depression and anxiety scores were determined in each subject. Besides traditional statistical analysis we calculated Bayesian effect strength and relevance of 5-HTTLPR genotypes in specified models. Results The short (s) low expressing allele showed association with increased risk of depression related phenotypes, but all nominally significant effects would turn to non-significant after correction for multiple testing in the traditional analysis. Bayesian effect strength and relevance analysis, however, confirmed the role of 5-HTTLPR. Regarding current (BSI) and lifetime depression 5-HTTLPR-by-RLE interactions were confirmed. Main effect, with other words direct association, was supported with BSI anxiety. With more frequent RLE the prevalence or symptoms of depression increased in ss carriers. Although CHA failed to show an interaction with 5-HTTLPR, in young subjects CHA sensitized towards the depression promoting effect of even mild RLE. Furthermore, the direct association of anxiety with the s allele was driven by young (\(\leq\)30) individuals. Limitations Our study is cross-sectional and applies self-report questionnaires. Conclusions Albeit 5-HTTLPR has only weak/moderate effects, the s allele is directly associated with anxiety and modulates development of depression in homogeneous subgroups. KW - serotonin transporter gene KW - environment interaction KW - polymorphism KW - events KW - moderation KW - CB1 receptor antagonists KW - s allele KW - association KW - anxiety KW - metaanalysis Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-143703 VL - 10 IS - 3 ER - TY - JOUR A1 - Ohlmann, Brigitte A1 - Bömicke, Wolfgang A1 - Behnisch, Rouven A1 - Rammelsberg, Peter A1 - Schmitter, Marc T1 - Variability of sleep bruxism — findings from consecutive nights of monitoring JF - Clinical Oral Investigations N2 - Objectives To determine sleep bruxism (SB) behavior during five consecutive nights and to identify correlations between SB episodes per hour (SB index) and sleep-time masseter-muscle activity (sMMA). Material and methods Thirty-one participants were included in the study. Of these, 10 were classified as sleep bruxers (group SB-1) and nine as non-sleep bruxers (group non-SB). The bruxism status of these 19 patients was identified by means of questionnaires, an assessment of clinical symptoms, and electromyographic/electrocardiographic data (Bruxoff® device). The remaining 12 participants were also identified as bruxers, but based exclusively on data from the Bruxoff device (group SB-2). Data analysis included descriptive statistics and Spearman’s correlation to assess the relationship between the SB index and sMMA. Results Participants in group SB-1 showed an overall mean SB index of 3.1 ± 1.6 and a mean total sMMA per night of 62.9 ± 38.3. Participants in group SB-2 had an overall mean SB index of 2.7 ± 1.5 and a mean total sMMA of 56.0 ± 29.3. In the non-SB group, participants showed an overall mean SB index of 0.8 ± 0.5 and a mean total sMMA of 56.8 ± 30.3. Spearman’s correlation yielded values of − 0.27 to 0.71 for the correlation between sMMA and SB index. Conclusions The data revealed variable SB activity and the absence of a reliable correlation between sMMA and the SB index. Clinical relevance The high variation in SB activity and lack of correlation between sMMA and the SB index should be considered when diagnosing SB. Trial registration Clinical Trials [NIH], clinical trial no. NCT03039985. KW - sleep bruxism KW - fluctuation KW - electromyography KW - electrocardiography KW - portable Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-307645 SN - 1436-3771 VL - 26 IS - 4 ER - TY - JOUR A1 - Kouhestani, Dina A1 - Geis, Maria A1 - Alsouri, Saed A1 - Bumm, Thomas G. P. A1 - Einsele, Hermann A1 - Sauer, Markus A1 - Stuhler, Gernot T1 - Variant signaling topology at the cancer cell–T-cell interface induced by a two-component T-cell engager JF - Cellular & Molecular Immunology N2 - No abstract available. KW - immunotherapy KW - tumour immunology Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-241189 VL - 18 ER - TY - JOUR A1 - Venjakob, C. A1 - Ruedenauer, F. A. A1 - Klein, A.‐M. A1 - Leonhardt, S. D. T1 - Variation in nectar quality across 34 grassland plant species JF - Plant Biology N2 - Floral nectar is considered the most important floral reward for attracting pollinators. It contains large amounts of carbohydrates besides variable concentrations of amino acids and thus represents an important food source for many pollinators. Its nutrient content and composition can, however, strongly vary within and between plant species. The factors driving this variation in nectar quality are still largely unclear. We investigated factors underlying interspecific variation in macronutrient composition of floral nectar in 34 different grassland plant species. Specifically, we tested for correlations between the phylogenetic relatedness and morphology of plants and the carbohydrate (C) and total amino acid (AA) composition and C:AA ratios of nectar. We found that compositions of carbohydrates and (essential) amino acids as well as C:AA ratios in nectar varied significantly within and between plant species. They showed no clear phylogenetic signal. Moreover, variation in carbohydrate composition was related to family‐specific structural characteristics and combinations of morphological traits. Plants with nectar‐exposing flowers, bowl‐ or parabolic‐shaped flowers, as often found in the Apiaceae and Asteraceae, had nectar with higher proportions of hexoses, indicating a selective pressure to decelerate evaporation by increasing nectar osmolality. Our study suggests that variation in nectar nutrient composition is, among others, affected by family‐specific combinations of morphological traits. However, even within species, variation in nectar quality is high. As nectar quality can strongly affect visitation patterns of pollinators and thus pollination success, this intra‐ and interspecific variation requires more studies to fully elucidate the underlying causes and the consequences for pollinator behaviour. KW - flower morphology KW - flowering grassland plants KW - Jena Experiment KW - nectar macronutrients KW - phylogeny Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-262612 VL - 24 IS - 1 SP - 134 EP - 144 ER - TY - THES A1 - Forster, Johannes T1 - Variational Approach to the Modeling and Analysis of Magnetoelastic Materials T1 - Variationeller Zugang zu Modellierung und Analysis Magnetoelastischer Materialien N2 - This doctoral thesis is concerned with the mathematical modeling of magnetoelastic materials and the analysis of PDE systems describing these materials and obtained from a variational approach. The purpose is to capture the behavior of elastic particles that are not only magnetic but exhibit a magnetic domain structure which is well described by the micromagnetic energy and the Landau-Lifshitz-Gilbert equation of the magnetization. The equation of motion for the material’s velocity is derived in a continuum mechanical setting from an energy ansatz. In the modeling process, the focus is on the interplay between Lagrangian and Eulerian coordinate systems to combine elasticity and magnetism in one model without the assumption of small deformations. The resulting general PDE system is simplified using special assumptions. Existence of weak solutions is proved for two variants of the PDE system, one including gradient flow dynamics on the magnetization, and the other featuring the Landau-Lifshitz-Gilbert equation. The proof is based on a Galerkin method and a fixed point argument. The analysis of the PDE system with the Landau-Lifshitz-Gilbert equation uses a more involved approach to obtain weak solutions based on G. Carbou and P. Fabrie 2001. N2 - Die vorliegende Doktorarbeit beschäftigt sich mit der mathematischen Modellierung magnetoelastischer Materialien und der Analysis von Systemen partieller Differentialgleichungen für diese Materialien. Die Herleitung der partiellen Differentialgleichungen erfolgt mittels eines variationellen Zugangs. Ziel ist es, das Verhalten elastischer Teilchen zu beschreiben, welche nicht nur magnetisch sind, sondern sich durch eine magnetische Domänenstruktur auszeichnen. Diese Struktur wird beschrieben durch die mikromagnetische Energie und die Landau-Lifshitz-Gilbert Gleichung der Magnetisierung. Die Bewegungsgleichung für die Geschwindigkeit des Materials ist in einem kontinuumsmechanischen Setting von einer Energiegleichung abgeleitet. In der Modellierung liegt der Fokus auf dem Zusammenspiel von Lagrange’schen und Euler’schen Koordinaten, um Elastizität und Magnetismus in einem Modell zu kombinieren. Dies geschieht ohne die Annahme kleiner Deformationen. Das resultierende allgemeine System partieller Differentialgleichungen wird durch spezielle Annahmen vereinfacht und es wird die Existenz von schwachen Lösungen gezeigt. Der Beweis wird für zwei Varianten des Differentialgleichungssystems geführt. Das erste System enthält die Beschreibung der Dynamik der Magnetisierung mittels Gradientenfluss, im zweiten wird die Dynamik mittels Landau-Lifshitz-Gilbert Gleichung beschrieben. Schlüsselidee des Beweises ist ein Galerkin-Ansatz, kombiniert mit einem Fixpunkt-Argument. Zum Beweis der Existenz schwacher Lösungen des Systems mit Landau-Lifshitz-Gilbert Gleichung wird eine aufwändigere Methode herangezogen, welche auf einer Arbeit von G. Carbou und P. Fabrie aus 2001 beruht. KW - Magnetoelastizität KW - Mikromagnetismus KW - Mathematische Modellierung KW - Galerkin-Methode KW - Differentialgleichungssystem KW - Partielle Differentialgleichungen KW - Existenz schwacher Lösungen KW - PDEs KW - Mathematical modeling KW - Calculus of variations Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-147226 ER - TY - JOUR A1 - del Alamo, Miguel A1 - Li, Housen A1 - Munk, Axel A1 - Werner, Frank T1 - Variational Multiscale Nonparametric Regression: Algorithms and Implementation JF - Algorithms N2 - Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric regression with a specific view on image denoising. We consider in particular certain variational multiscale estimators which are statistically optimal in minimax sense, yet computationally intensive. Such an estimator is computed as the minimiser of a smoothness functional (e.g., TV norm) over the class of all estimators such that none of its coefficients with respect to a given multiscale dictionary is statistically significant. The so obtained multiscale Nemirowski-Dantzig estimator (MIND) can incorporate any convex smoothness functional and combine it with a proper dictionary including wavelets, curvelets and shearlets. The computation of MIND in general requires to solve a high-dimensional constrained convex optimisation problem with a specific structure of the constraints induced by the statistical multiscale testing criterion. To solve this explicitly, we discuss three different algorithmic approaches: the Chambolle-Pock, ADMM and semismooth Newton algorithms. Algorithmic details and an explicit implementation is presented and the solutions are then compared numerically in a simulation study and on various test images. We thereby recommend the Chambolle-Pock algorithm in most cases for its fast convergence. We stress that our analysis can also be transferred to signal recovery and other denoising problems to recover more general objects whenever it is possible to borrow statistical strength from data patches of similar object structure. KW - non-smooth large-scale optimisation KW - image denoising KW - variational estimation KW - multiscale methods KW - MIND estimator Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-219332 SN - 1999-4893 VL - 13 IS - 11 ER - TY - THES A1 - Kleineisel, Jonas T1 - Variational networks in magnetic resonance imaging - Application to spiral cardiac MRI and investigations on image quality T1 - Variational Networks in der Magnetresonanztomographie - Anwendung auf spirale Herzbildgebung und Untersuchungen zur Bildqualität N2 - Acceleration is a central aim of clinical and technical research in magnetic resonance imaging (MRI) today, with the potential to increase robustness, accessibility and patient comfort, reduce cost, and enable entirely new kinds of examinations. A key component in this endeavor is image reconstruction, as most modern approaches build on advanced signal and image processing. Here, deep learning (DL)-based methods have recently shown considerable potential, with numerous publications demonstrating benefits for MRI reconstruction. However, these methods often come at the cost of an increased risk for subtle yet critical errors. Therefore, the aim of this thesis is to advance DL-based MRI reconstruction, while ensuring high quality and fidelity with measured data. A network architecture specifically suited for this purpose is the variational network (VN). To investigate the benefits these can bring to non-Cartesian cardiac imaging, the first part presents an application of VNs, which were specifically adapted to the reconstruction of accelerated spiral acquisitions. The proposed method is compared to a segmented exam, a U-Net and a compressed sensing (CS) model using qualitative and quantitative measures. While the U-Net performed poorly, the VN as well as the CS reconstruction showed good output quality. In functional cardiac imaging, the proposed real-time method with VN reconstruction substantially accelerates examinations over the gold-standard, from over 10 to just 1 minute. Clinical parameters agreed on average. Generally in MRI reconstruction, the assessment of image quality is complex, in particular for modern non-linear methods. Therefore, advanced techniques for precise evaluation of quality were subsequently demonstrated. With two distinct methods, resolution and amplification or suppression of noise are quantified locally in each pixel of a reconstruction. Using these, local maps of resolution and noise in parallel imaging (GRAPPA), CS, U-Net and VN reconstructions were determined for MR images of the brain. In the tested images, GRAPPA delivers uniform and ideal resolution, but amplifies noise noticeably. The other methods adapt their behavior to image structure, where different levels of local blurring were observed at edges compared to homogeneous areas, and noise was suppressed except at edges. Overall, VNs were found to combine a number of advantageous properties, including a good trade-off between resolution and noise, fast reconstruction times, and high overall image quality and fidelity of the produced output. Therefore, this network architecture seems highly promising for MRI reconstruction. N2 - Eine Beschleunigung des Bildgebungsprozesses ist heute ein wichtiges Ziel von klinischer und technischer Forschung in der Magnetresonanztomographie (MRT). Dadurch könnten Robustheit, Verfügbarkeit und Patientenkomfort erhöht, Kosten gesenkt und ganz neue Arten von Untersuchungen möglich gemacht werden. Da sich die meisten modernen Ansätze hierfür auf eine fortgeschrittene Signal- und Bildverarbeitung stützen, ist die Bildrekonstruktion ein zentraler Baustein. In diesem Bereich haben Deep Learning (DL)-basierte Methoden in der jüngeren Vergangenheit bemerkenswertes Potenzial gezeigt und eine Vielzahl an Publikationen konnte deren Nutzen in der MRT-Rekonstruktion feststellen. Allerdings besteht dabei das Risiko von subtilen und doch kritischen Fehlern. Daher ist das Ziel dieser Arbeit, die DL-basierte MRT-Rekonstruktion weiterzuentwickeln, während gleichzeitig hohe Bildqualität und Treue der erzeugten Bilder mit den gemessenen Daten gewährleistet wird. Eine Netzwerkarchitektur, die dafür besonders geeignet ist, ist das Variational Network (VN). Um den Nutzen dieser Netzwerke für nicht-kartesische Herzbildgebung zu untersuchen, beschreibt der erste Teil dieser Arbeit eine Anwendung von VNs, welche spezifisch für die Rekonstruktion von beschleunigten Akquisitionen mit spiralen Auslesetrajektorien angepasst wurden. Die vorgeschlagene Methode wird mit einer segmentierten Rekonstruktion, einem U-Net, und einem Compressed Sensing (CS)-Modell anhand von qualitativen und quantitativen Metriken verglichen. Während das U-Net schlecht abschneidet, zeigen die VN- und CS-Methoden eine gute Bildqualität. In der funktionalen Herzbildgebung beschleunigt die vorgeschlagene Echtzeit-Methode mit VN-Rekonstruktion die Aufnahme gegenüber dem Goldstandard wesentlich, von etwa zehn zu nur einer Minute. Klinische Parameter stimmen im Mittel überein. Die Bewertung von Bildqualität in der MRT-Rekonstruktion ist im Allgemeinen komplex, vor allem für moderne, nichtlineare Methoden. Daher wurden anschließend forgeschrittene Techniken zur präsizen Analyse von Bildqualität demonstriert. Mit zwei separaten Methoden wurde einerseits die Auflösung und andererseits die Verstärkung oder Unterdrückung von Rauschen in jedem Pixel eines untersuchten Bildes lokal quantifiziert. Damit wurden lokale Karten von Auflösung und Rauschen in Rekonstruktionen durch Parallele Bildgebung (GRAPPA), CS, U-Net und VN für MR-Aufnahmen des Gehirns berechnet. In den untersuchten Bildern zeigte GRAPPA gleichmäßig eine ideale Auflösung, aber merkliche Rauschverstärkung. Die anderen Methoden verhalten sich lokal unterschiedlich je nach Struktur des untersuchten Bildes. Die gemessene lokale Unschärfe unterschied sich an den Kanten gegenüber homogenen Bildbereichen, und Rauschen wurde überall außer an Kanten unterdrückt. Insgesamt wurde für VNs eine Kombination von verschiedenen günstigen Eigenschaften festgestellt, unter anderem ein guter Kompromiss zwischen Auflösung und Rauschen, schnelle Laufzeit, und hohe Qualität und Datentreue der erzeugten Bilder. Daher erscheint diese Netzwerkarchitektur als ein äußerst vielversprechender Ansatz für MRT-Rekonstruktion. KW - Kernspintomografie KW - Convolutional Neural Network KW - Maschinelles Lernen KW - Bildgebendes Verfahren KW - magnetic resonance imaging KW - convolutional neural network KW - variational network KW - cardiac imaging KW - machine learning KW - local point-spread function KW - resolution KW - g-factor Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-347370 ER -