Refine
Year of publication
- 2013 (504) (remove)
Document Type
- Journal article (383)
- Doctoral Thesis (115)
- Master Thesis (3)
- Preprint (2)
- Conference Proceeding (1)
Language
- English (504) (remove)
Keywords
- gene expression (12)
- expression (11)
- Maus (8)
- inflammation (8)
- Medizin (7)
- apoptosis (7)
- gene (7)
- Organischer Halbleiter (6)
- brain (6)
- cancer (6)
Institute
- Theodor-Boveri-Institut für Biowissenschaften (78)
- Physikalisches Institut (37)
- Graduate School of Life Sciences (33)
- Medizinische Klinik und Poliklinik I (32)
- Institut für Psychologie (29)
- Institut für Molekulare Infektionsbiologie (21)
- Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie (21)
- Rudolf-Virchow-Zentrum (21)
- Julius-von-Sachs-Institut für Biowissenschaften (19)
- Pathologisches Institut (17)
Sonstige beteiligte Institutionen
- Center for Interdisciplinary Clinical Research, Würzburg University, Würzburg, Germany (2)
- Bavarian Center for Applied Energy Research (ZAE Bayern), 97074 Würzburg, Germany (1)
- Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut fuer biophysikalische Chemie (1)
- Blindeninstitut, Ohmstr. 7, 97076, Wuerzburg, Germany (1)
- Comprehensive Cancer Center Mainfranken, University Hospital Würzburg, Würzburg, Germany (1)
- DNA Analytics Core Facility, Biocenter, University of Wuerzburg, Wuerzburg, Germany (1)
- Deakin University, Australia (1)
- Department of Pediatrics, Pediatrics I, Innsbruck Medical University, Anichstr. 35, 6020, Innsbruck, Austria (1)
- EMBL, Structural and Computational Biology Unit, Heidelberg, Germany (1)
- Genelux Corporation, San Diego Science Center, 3030 Bunker Hill Street, Suite 310, San Diego, California 92109, USA (1)
ResearcherID
- D-1250-2010 (1)
Abstract
Streptococcus pneumoniae (pneumococcal) meningitis is a common bacterial infection of the brain. The cholesterol-dependent cytolysin pneumolysin represents a key factor, determining the neuropathogenic potential of the pneumococci. Here, we demonstrate selective synaptic loss within the superficial layers of the frontal neocortex of post-mortem brain samples from individuals with pneumococcal meningitis. A similar effect was observed in mice with pneumococcal meningitis only when the bacteria expressed the pore-forming cholesterol-dependent cytolysin pneumolysin. Exposure of acute mouse brain slices to only pore-competent pneumolysin at disease-relevant, non-lytic concentrations caused permanent dendritic swelling, dendritic spine elimination and synaptic loss. The NMDA glutamate receptor antagonists MK801 and D-AP5 reduced this pathology. Pneumolysin increased glutamate levels within the mouse brain slices. In mouse astrocytes, pneumolysin initiated the release of glutamate in a calcium-dependent manner. We propose that pneumolysin plays a significant synapto- and dendritotoxic role in pneumococcal meningitis by initiating glutamate release from astrocytes, leading to subsequent glutamate-dependent synaptic damage. We outline for the first time the occurrence of synaptic pathology in pneumococcal meningitis and demonstrate that a bacterial cytolysin can dysregulate the control of glutamate in the brain, inducing excitotoxic damage.
Author Summary
Bacterial meningitis is one of the most devastating brain diseases. Among the bacteria that cause meningitis, Streptococcus pneumoniae is the most common. Meningitis predominantly affects children, especially in the Third World, and most of them do not survive. Those that do survive often suffer permanent brain damage and hearing problems. The exact morphological substrates of brain damage in Streptococcus pneumoniae meningitis remain largely unknown. In our experiments, we found that the brain cortex of patients with meningitis demonstrated a loss of synapses (the contact points among neurons, responsible for the processes of learning and memory), and we identified the major pneumococcal neurotoxin pneumolysin as a sufficient cause of this loss. The effect was not direct but was mediated by the brain neurotransmitter glutamate, which was released upon toxin binding by one of the non-neuronal cell types of the brain – the astrocytes. Pneumolysin initiated calcium influx in astrocytes and subsequent glutamate release. Glutamate damaged the synapses via NMDA-receptors – a mechanism similar to the damage occurring in brain ischemia. Thus, we show that synaptic loss is present in pneumococcal meningitis, and we identify the toxic bacterial protein pneumolysin as the major factor in this process. These findings alter our understanding of bacterial meningitis and establish new therapeutic strategies for this fatal disease.
All animal and plant species must disperse in order to survive. Although this fact may seem trivial, and the importance of the dispersal process is generally accepted, the eco-evolutionary forces influencing dispersal, and the underlying movement elements, are far from being comprehensively understood. Beginning in the 1950s scientists became aware of the central role of dispersal behaviour and landscape connectivity for population viability and species diversity. Subsequently, dispersal has mainly been studied in the context of metapopulations. This has allowed researchers to take into account the landscape level, e.g. for determining conservation measures. However, a majority of theses studies classically did not include dispersal evolution. Yet, it is well known that dispersal is subject to evolution and that this process may occur (very) rapidly, i.e. over short ecological time-scales. Studies that do take dispersal evolution into account, mostly focus on eco-evolutionary forces arising at the level of populations - intra-specific competition or Allee effects, for example - and at the level of landscapes - e.g. connectivity, patch area and fragmentation. Yet, relevant ecological and evolutionary forces can emerge at all levels of biological complexity, from genes and individuals to populations, communities and landscapes. Here, I focus on eco-evolutionary forces arising at the gene- and especially at the individual level. Combining individual-based modelling and empirical field work, I explicitly analyse the influence of mobility trade-offs and information use for dispersal decisions - i.e. individual level factors - during the three phases of dispersal - emigration, transfer and immigration. I additionally take into account gene level factors such as ploidy, sexual reproduction (recombination) and dominance. Mobility-fertility trade-offs may shape evolutionarily stable dispersal strategies and lead to the coexistence of two or more dispersal strategies, i.e. polymorphisms and polyphenisms. This holds true for both dispersal distances (chapter 3) and emigration rates (chapter 4). In sessile organisms - such as trees or corals - maternal investment, i.e. transgenerational trade-offs between maternal fertility and propagule dispersiveness, can be the cause of bimodal and fat-tailed dispersal kernels. However, the coexistence of two or more dispersal strategies may be critically dependent on gene level factors, such as ploidy or dominance (chapter 4). Passively dispersing individuals may realize such multimodal dispersal kernels by mixing different dispersal vectors. Active choice of these vectors allows to optimize the kernel. As most animals have evolved some kind of memory and sensory apparatus - chemical, acoustic or optical sensors - it is obvious that these capacities should be used for dispersal decisions. Chapter 5 explores the use of chemical cues for vector choice in passively dispersed animals. I find that the neotropical phoretic flower mites Spadiseius calyptrogynae non-randomly mix different dispersal vectors, i.e. one short- and one long-distance disperser, in order to achieve fat-tailed dispersal kernels. Such kernels allow an optimal exploitation of patchily distributed habitats. In addition, this strategy increases the probability of successful immigration as the short-distance dispersal vectors show directed dispersal towards suitable habitats. Results from individual-based simulations support and explain my empirical findings. The use of memory and sensory apparatus in dispersal is also the main topic of chapter 6 which strives to bridge the gap between dispersal and movement ecology. In this part of my thesis I develop a model of non-random, memory-based animal movement strategies. Extending the movement ecology paradigm of Nathan (2008a) I postulate that four elements may be relevant for the emergence of efficient movement strategies: perception, memory, inference and anticipation. Movement strategies including these four elements optimize search efficiency at two scales: within patches and between patches. This leads to a significantly increased search efficiency over a comparable area restricted search strategy. These four chapters are completed by a general analysis of metapopulation dynamics (chapter 2). I find that although the metapopulation concept is very popular in theoretical ecology, classical metapopulations can be predicted to be rare in nature, as suggested by lacking empirical evidence. This is especially the case when gene level factors, such as ploidy and sex, are taken into account. In summary, my work analyses the effects of ecological and evolutionary forces arising at the gene- and individual level on the evolution of dispersal and movement strategies. I highlight the importance of including these limiting factors, mechanisms and processes and show how they impact the evolution of dispersal in spatially structured populations. All chapters demonstrate that these forces may have dramatic effects on resulting ecological and evolutionary dynamics. If we intend to understand animal and plant dispersal or movement, it is crucial to include eco-evolutionary forces emerging at all levels of complexity, from genes to communities and landscapes. This endeavour is certainly not purely academic. Particularly nowadays, with rapidly changing landscape structures and anticipated drastic shifts of climatic zones due to global change, dispersal is a factor that cannot be overestimated.
The novel refrigerant 2,3,3,3‐tetrafluoropropene (HFO‐1234yf) as well as the novel foam blowing and precision cleaning agent trans‐1‐chloro‐3,3,3‐trifluoropropene (trans‐HCFO‐1233zd) are both chlorofluorocarbon replacements with low GWPs and a short atmospheric life time. Whereas the hydrofluoroolefin HFO‐1234yf has no negative effect on stratospheric ozone due to the lack of chlorine in its structure, the hydrochlorofluoroolefine trans‐HCFO‐1233zd exhibits a very low potential for ozone depletion (ODP). This is approximately 100 times lower than the ozone depletion potential of precursor compounds such as 1,1,2‐trichloro‐1,2,2‐trifluoroethane (CFC‐113). Principle aims of this thesis were to investigate the unknown metabolism of the new solvent trans‐HCFO‐1233zd and to further investigate a possible biotransformation based toxicity of HFO‐1234yf observed in rabbits. Therefore study specimens of different in vitro and in vivo studies with trans‐HCFO‐1233zd and HFO‐1234yf were analyzed for metabolites using 19FNMR spectroscopy, LC‐MS/MS spectrometry and GC/MS spectrometry. Metabolites were identified by comparison with purchased or synthesized standard substances. Excretion kinetics of the predominant metabolites were determined by LC‐MS/MS quantification,inorganic fluoride was determined by potentiometry. Moreover cytochrome P‐450 2E1 and 3A4 liver enzyme activities were measured in a multi‐exposure study with HFO‐1234yf. ...
Background: Uro-oncological neoplasms have both a high incidence and mortality rate and are therefore a major public health problem. The aim of this study was to evaluate research activity in uro-oncology over the last decade.
Methods: We searched MEDLINE and ClinicalTrials.gov systematically for studies on prostatic, urinary bladder, kidney, and testicular neoplasms. The increase in newly published reports per year was analyzed using linear regression. The results are presented with 95% confidence intervals, and a p value <0.05 was considered statistically significant.
Results: The number of new publications per year increased significantly for prostatic, kidney and urinary bladder neoplasms (all <0.0001). We identified 1,885 randomized controlled trials (RCTs); also for RCTs, the number of newly published reports increased significantly for prostatic (p = 0.001) and kidney cancer (p = 0.005), but not for bladder (p = 0.09) or testicular (p = 0.44) neoplasms. We identified 3,114 registered uro-oncological studies in ClinicalTrials.gov. However, 85% of these studies are focusing on prostatic (45%) and kidney neoplasms (40%), whereas only 11% were registered for bladder cancers.
Conclusions: While the number of publications on uro-oncologic research rises yearly for prostatic and kidney neoplasms, urothelial carcinomas of the bladder seem to be neglected despite their important clinical role. Clinical research on neoplasms of the urothelial bladder must be explicitly addressed and supported.
Background
Suboccipital craniectomy is a conventional approach for exploring cerebellopontine angle lesions. A variety of techniques have been successfully employed to reconstruct a craniectomy. This is the first report about the histological findings after performing a cranioplasty by using a mixture of autologous bone chips and human allogenic fibrin glue.
Case presentation
A 53-year-old German woman underwent left lateral suboccipital retrosigmoidal craniectomy for treatment of trigeminal neuralgia in 2008. Cranioplasty was perfomed by using a mixture of autologous bone chips and human allogenic fibrin glue. Due to recurrent neuralgia, a second left lateral suboccipital craniectomy was performed in 2012. The intraoperative findings revealed a complete ossification of the former craniotomy including widely mature trabecular bone tissue in the histological examination.
Conclusion
A mixture of autologous bone chips and human allogenic fibrin glue seems to provide sufficient bone-regeneration revealed by histological and neuroradiological examinations.
Functional magnetic resonance imaging (fMRI) has become a powerful and influential method to non-invasively study neuronal brain activity. For this purpose, the blood oxygenation level-dependent (BOLD) effect is most widely used. T2* weighted echo planar imaging (EPI) is BOLD sensitive and the prevailing fMRI acquisition technique. Here, we present an alternative to its standard Cartesian recordings, i.e. k-space density weighted EPI, which is expected to increase the signal-to-noise ratio in fMRI data. Based on in vitro and in vivo pilot measurements, we show that fMRI by k-space density weighted EPI is feasible and that this new acquisition technique in fact boosted spatial and temporal SNR as well as the detection of local fMRI activations. Spatial resolution, spatial response function and echo time were identical for density weighted and conventional Cartesian EPI. The signal-to-noise ratio gain of density weighting can improve activation detection and has the potential to further increase the sensitivity of fMRI investigations.
Objective: Brain Computer Interfaces (BCI) provide a muscle independent interaction channel making them particularly valuable for individuals with severe motor impairment. Thus, different BCI systems and applications have been proposed as assistive technology (AT) solutions for such patients. The most prominent system for communication utilizes event-related potentials (ERP) obtained from the electroencephalogram (EEG) to allow for communication on a character-by-character basis. Yet in their current state of technology, daily life use cases of such systems are rare. In addition to the high EEG preparation effort, one of the main reasons is the low information throughput compared to other existing AT solutions. Furthermore, when testing BCI systems in patients, a performance drop is usually observed compared to healthy users. Patients often display a low signal-to-noise ratio of the recorded EEG and detection of brain responses may be aggravated due to internally (e.g. spasm) or externally induced artifacts (e.g. from ventilation devices). Consequently, practical BCI systems need to cope with mani-fold inter-individual differences. Whilst these high demands lead to increasing complexity of the technology, daily life use of BCI systems requires straightforward setup including an easy-to-use graphical user interface that nonprofessionals can handle without expert support. Research questions of this thesis: This dissertation project aimed at bringing forward BCI technology toward a possible integration into end-users' daily life. Four basic research questions were addressed: (1) Can we identify performance predictors so that we can provide users with individual BCI solutions without the need of multiple, demanding testing sessions? (2) Can we provide complex BCI technology in an automated, user-friendly and easy-to-use manner, so that BCIs can be used without expert support at end-users' homes? (3) How can we account for and improve the low information transfer rates as compared to other existing assistive technology solutions? (4) How can we prevent the performance drop often seen when bringing BCI technology that was tested in healthy users to those with severe motor impairment? Results and discussion: (1) Heart rate variability (HRV) as an index of inhibitory control (i.e. the ability to allocate attention resources and inhibit distracting stimuli) was significantly related to ERP-BCI performance and accounted for almost 26% of variance. HRV is easy to assess from short heartbeat recordings and may thus serve as a performance predictor for ERP-BCIs. Due to missing software solutions for appropriate processing of artifacts in heartbeat data (electrocardiogram and inter-beat interval data), our own tool was developed that is available free of charge. To date, more than 100 researchers worldwide have requested the tool. Recently, a new version was developed and released together with a website (www.artiifact.de). (2) Furthermore, a study of this thesis demonstrated that BCI technology can be incorporated into easy-to-use software, including auto-calibration and predictive text entry. Naïve, healthy nonprofessionals were able to control the software without expert support and successfully spelled words using the auto-calibrated BCI. They reported that software handling was straightforward and that they would be able to explain the system to others. However, future research is required to study transfer of the results to patient samples. (3) The commonly used ERP-BCI paradigm was significantly improved. Instead of simply highlighting visually displayed characters as is usually done, pictures of famous faces were used as stimulus material. As a result, specific brain potentials involved in face recognition and face processing were elicited. The event-related EEG thus displayed an increased signal-to-noise ratio, which facilitated the detection of ERPs extremely well. Consequently, BCI performance was significantly increased. (4) The good results of this new face-flashing paradigm achieved with healthy participants transferred well to users with neurodegenerative disease. Using a face paradigm boosted information throughput. Importantly, two users who were highly inefficient with the commonly used paradigm displayed high accuracy when exposed to the face paradigm. The increased signal-to-noise ratio of the recorded EEG thus helped them to overcome their BCI inefficiency. Significance: The presented work at hand (1) successfully identified a physiological predictor of ERP-BCI performance, (2) proved the technology ready to be operated by naïve nonprofessionals without expert support, (3) significantly improved the commonly used spelling paradigm and (4) thereby displayed a way to effectively prevent BCI inefficiency in patients with neurodegenerative disease. Additionally, missing software solutions for appropriate handling of artifacts in heartbeat data encouraged development of our own software tool that is available to the research community free of charge. In sum, this thesis significantly improved current BCI technology and enhanced our understanding of physiological correlates of BCI performance.
Bone Morphogenetic Proteins (BMPs) are important growth factors that regulate many cellular processes. During embryogenesis they act as morphogens and play a critical role during organ development. They influence cell fates via concentration-gradients in the embryos where cells transduce this extracellular information into gene expression profiles and cell fate decisions. How receiving cells decode and quantify BMP2/4 signals is hardly understood. There is little data on the quantitative relationships between signal input, transducing molecules, their states and location, and ultimately their ability to integrate graded systemic inputs and generate qualitative responses. Understanding this signaling network on a quantitative level should be considered a prerequisite for efficient pathway modulation, as the BMP pathway is a prime target for therapeutic invention. Hence, we quantified the spatial distribution of the main signal transducer of the BMP2/4 pathway in response to different types and levels of stimuli in c2c12 cells. We found that the subcellular localization of Smad1 is independent of ligand concentration. In contrast, Smad1 phosphorylation levels relate proportionally to BMP2 ligand concentrations and they are entirely located in the nucleus. Interestingly, we found that BMP2 stimulates target gene expression in non-linear, wave-like forms. Amplitudes showed a clear concentration-dependency, for sustained and transient stimulation. We found that even burst-stimulation triggers gene-expression wave-like modulations that are detectable for at least 30 h. Finally, we show here that target gene expression oscillations depend on receptor kinase activity, as the kinase drives further expression pulses without receptor reactivation and the target gene expression breaks off after inhibitor treatment in c2c12 cells.
Resection of musculoskeletal sarcoma can result in large bone defects where regeneration is needed in a quantity far beyond the normal potential of self-healing. In many cases, these defects exhibit a limited intrinsic regenerative potential due to an adjuvant therapeutic regimen, seroma, or infection. Therefore, reconstruction of these defects is still one of the most demanding procedures in orthopaedic surgery. The constraints of common treatment strategies have triggered a need for new therapeutic concepts to design and engineer unparalleled structural and functioning bone grafts. To satisfy the need for long-term repair and good clinical outcome, a paradigm shift is needed from methods to replace tissues with inert medical devices to more biological approaches that focus on the repair and reconstruction of tissue structure and function. It is within this context that the field of bone tissue engineering can offer solutions to be implemented into surgical therapy concepts after resection of bone and soft tissue sarcoma. In this paper we will discuss the implementation of tissue engineering concepts into the clinical field of orthopaedic oncology.