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Purpose: Early identification of aggressive disease could improve decision-support in pancreatic neuroendocrine tumor (pNET) patients prior to peptide receptor radionuclide therapy (PRRT). The prognostic value of intratumoral textural features (TF) determined by baseline somatostatin receptor (SSTR)-PET before PRRT was analyzed.
Procedures: 31 patients with G1/G2 pNET were enrolled (G2, n=23/31). Prior to PRRT with [\(^{177}\)Lu]DOTATATE (mean, 3.6 cycles), baseline SSTR-PET/CT was performed. By segmentation of 162 (median per patient, 5) metastases, intratumoral TF were computed. The impact of conventional PET parameters (SUV\(_{mean/max}\)), imaging-based TF as well as clinical parameters (Ki67, CgA) for prediction of both progression-free (PFS) and overall survival (OS) after PRRT was evaluated.
Results: Within a median follow-up of 3.7y, tumor progression was detected in 21 patients (median, 1.5y) and 13/31 deceased (median, 1.9y). In ROC analysis, the TF Entropy, reflecting derangement on a voxel-by-voxel level, demonstrated predictive capability for OS (cutoff=6.7, AUC=0.71, p=0.02). Of note, increasing Entropy could predict a longer survival (>6.7, OS=2.5y, 17/31), whereas less voxel-based derangement portended inferior outcome (<6.7, OS=1.9y, 14/31). These findings were supported in a G2 subanalysis (>6.9, OS=2.8y, 9/23 vs. <6.9, OS=1.9y, 14/23). Kaplan-Meier analysis revealed a significant distinction between high- and low-risk groups using Entropy (n=31, p<0.05). For those patients below the ROC-derived threshold, the relative risk of death after PRRT was 2.73 (n=31, p=0.04). Ki67 was negatively associated with PFS (p=0.002); however, SUVmean/max failed in prognostication (n.s.).
Conclusions: In contrast to conventional PET parameters, assessment of intratumoral heterogeneity demonstrated superior prognostic performance in pNET patients undergoing PRRT. This novel PET-based strategy of outcome prediction prior to PRRT might be useful for patient risk stratification.
The aim of the book is to ground the logical origins of consciousness in what I have previously called the ‘minimal self’. The idea is that elementary forms of consciousness are logically dependent not, as is commonly assumed, on ownership of an anatomical brain or nervous system, but on the intrinsic reflexivity that defines minimal selfhood. The book seeks to trace the logical pathway by which minimal selfhood gives rise to the possible appearance of consciousness. It is argued that in specific circumstances it thus makes sense to ascribe elementary consciousness to certain predatory single-celled organisms such as amoebae and dinoflagellates as well as to some of the simpler animals. Such an argument involves establishing exactly what those specific circumstances are and determining how elementary consciousness differs in nature and scope from its more complex manifestations.
The control of energy homeostasis is of pivotal importance for all living organisms. In the last years emerged the idea that many stress responses that are apparently unrelated, are actually united by a common increase of the cellular energy demand. Therefore, the so called energy signaling is activated by many kind of stresses and is responsible for the activation of the general stress response. In Arabidopsis thaliana the protein family SnF1- related protein kinases (SnRK1) is involved in the regulation of many physiological processes but is more known for its involvement in the regulation of the energy homeostasis in response to various stresses. To the SnRK1 protein family belong SnRK1.1 (also known as KIN10), SnRK1.2 (KIN11), and SnRK1.3 (KIN12). SnRK1 exerts its function regulating directly the activity of metabolic enzymes or those of key transcription factors (TFs). The only TFs regulated by SnRK1 identified so far is the basic leucine zipper (bZIP) 63. bZIP63 belongs to the C group of bZIPs (C-bZIPs) protein family together with bZIP9, bZIP10, and bZIP25. SnRK1.1 phosphorylates bZIP63 on three amino acids residues, serine (S) 29, S294, and S300. The phosphorylation of tbZIP63 is strongly related to the energy status of the plant, shifting from almost absent during the normal growth to strongly phosphorylated when the plant is exposed to extended dark. bZIPs normally bind the DNA as dimer in order to regulate the expression of their target genes. C-bZIPs preferentially form dimers with S1-bZIPs, constituting the so called C/S1- bZIPs network. The SnRk1 dependent phosphorylation of bZIP63 regulates its activation potential and its dimerization properties. In particular bZIP63 shift its dimerization preferences according to its phosphorylation status. The non-phosphorylated form of bZIP63 dimerize bZIP1, the phosphorylates ones, instead, forms dimer with bZIP1, bZIP11, and bZIP63 its self. Together with bZIP63, S1-bZIPs are important mediator of part of the huge transcriptional reprogramming induced by SnRK1 in response to extended dark. S1-bZIPs regulate, indeed, the expression of 4'000 of the 10'000 SnRK1-regulated genes in response to energy deprivation. In particular S1-bZIPs are very important for the regulation of many genes encoding for enzymes involved in the amino acid metabolism and for their use as alternative energy source. After the exposition for some hours to extended dark, indeed, the plant make use of every energy substrate and amino acids are considered an important energy source together with lipids and proteins. Interestingly, S1- bZIPs regulate the expression of ETFQO. ETFQO is a unique protein that convoglia the electrons provenienti from the branch chain amino acids catabolism into the mitochondrial electron transport chain. The dimer formed between bZIP63 and bZIP2 recruits SnRK1.1 directly on the chromatin of ETFQO promoter. The recruitment of SnRK1 on ETFQO promoter is associated with its acetylation on the lysine 14 of the histone protein 3 (K14H3). This chromatin modification is normally asociated with an euchromatic status of the DNA and therefore with its transcriptional activation. Beside the particular case of the regulation of ETFQO gene, S1-bZIPs are involved in the regulation of many other genes activated in response of different stresses. bZIP1 is for example an important mediator of the salt stress response. In particular bZIP1 regulates the primary C- and N-metabolism. The expression of bZIP1, in response of both salt ans energy stress seems to be regulated by SnRK1, as it is the expression of bZIP53 and bZIP63.
Beside its involvement in the regulation of the energy stress response and salt response, SnRK1 is the primary activators of the lipids metabolism during see germination. SnRK1, indeed, controls the expression of CALEOSINs and OLEOSINs. Those proteins are very important for lipids remobilization from oil droplets. Without their expression seed germination and subsequent establishment do not take place because of the absence of fuel to sustain these highly energy costly processes, which entirely depend on the catabolism of seed storages.
Plant-associated fungi can affect the plants‘ interaction with herbivores and
other microorganisms. For example, many common forage grasses are infected
with Epichloë endophytes. The endophytes systemically colonize the aerial
parts of the plants. They produce bioprotective alkaloids that can negatively
affect insects and livestock feeding on the grasses, and interact with other
fungal species which living from the plants‘ nutrients. Environmental conditions
strongly influence Epichloë endophytes. Endophyte-mediated effects
on herbivores are more pronounced under increased temperatures and the
endophytes may benefit from land use in managed grasslands. Under the
framework of the large-scale German project “Biodiversity Exploratories”, I
investigated whether infection rates and alkaloid concentrations of Epichloë
festucae var. lolii in Lolium perenne (Chapter I) and Epichloë endophytes (E.
uncinata, E. siegelii) in Festuca pratensis (Chapter II) depend on land use and
season. Further I analysed, whether foliar fungal assemblages of L. perenne
are affected by the presence of Epichloë endophytes (Chapter IV).
Almost once a week broadcasts about earthquakes, hurricanes, tsunamis, or forest fires are filling the news. While oneself feels it is hard to watch such news, it is even harder for rescue troops to enter such areas. They need some skills to get a quick overview of the devastated area and find victims. Time is ticking, since the chance for survival shrinks the longer it takes till help is available. To coordinate the teams efficiently, all information needs to be collected at the command center. Therefore, teams investigate the destroyed houses and hollow spaces for victims. Doing so, they never can be sure that the building will not fully collapse while they
are inside. Here, rescue robots are welcome helpers, as they are replaceable and make work more secure. Unfortunately, rescue robots are not usable off-the-shelf, yet.
There is no doubt, that such a robot has to fulfil essential requirements to successfully accomplish a rescue mission. Apart from the mechanical requirements it has to be able to build
a 3D map of the environment. This is essential to navigate through rough terrain and fulfil manipulation tasks (e.g. open doors). To build a map and gather environmental information, robots are equipped with multiple sensors. Since laser scanners produce precise measurements and support a wide scanning range, they are common visual sensors utilized for mapping.
Unfortunately, they produce erroneous measurements when scanning transparent (e.g. glass, transparent plastic) or specular reflective objects (e.g. mirror, shiny metal). It is understood that such objects can be everywhere and a pre-manipulation to prevent their influences is impossible. Using additional sensors also bear risks.
The problem is that these objects are occasionally visible, based on the incident angle of the laser beam, the surface, and the type of object. Hence, for transparent objects, measurements might result from the object surface or objects behind it. For specular reflective objects, measurements might result from the object surface or a mirrored object. These mirrored objects are illustrated behind the surface which is wrong. To obtain a precise map, the surfaces need to
be recognised and mapped reliably. Otherwise, the robot navigates into it and crashes. Further, points behind the surface should be identified and treated based on the object type. Points behind a transparent surface should remain as they represent real objects. In contrast, Points behind a specular reflective surface should be erased. To do so, the object type needs to be classified. Unfortunately, none of the current approaches is capable to fulfil these requirements.
Therefore, the following thesis addresses this problem to detect transparent and specular reflective objects and to identify their influences. To give the reader a start up, the first chapters
describe: the theoretical background concerning propagation of light; sensor systems applied for range measurements; mapping approaches used in this work; and the state-of-the-art concerning detection and identification of transparent and specular reflective objects. Afterwards, the Reflection-Identification-Approach, which is the core of subject thesis is presented. It describes 2D and a 3D implementation to detect and classify such objects. Both are available as ROS-nodes. In the next chapter, various experiments demonstrate the applicability and reliability of these nodes. It proves that transparent and specular reflective objects can be detected and classified. Therefore, a Pre- and Post-Filter module is required in 2D. In 3D, classification is possible solely with the Pre-Filter. This is due to the higher amount of measurements. An
example shows that an updatable mapping module allows the robot navigation to rely on refined maps. Otherwise, two individual maps are build which require a fusion afterwards. Finally, the
last chapter summarizes the results and proposes suggestions for future work.
The Dual Olfactory Pathway in the Honeybee Brain: Sensory Supply and Electrophysiological Properties
(2018)
The olfactory sense is of utmost importance for honeybees, Apis mellifera. Honeybees use olfaction for communication within the hive, for the identification of nest mates and non-nest mates, the localization of food sources, and in case of drones (males), for the detection of the queen and mating. Honeybees, therefore, can serve as excellent model systems for an integrative analysis of an elaborated olfactory system.
To efficiently filter odorants out of the air with their antennae, honeybees possess a multitude of sensilla that contain the olfactory sensory neurons (OSN). Three types of olfactory sensilla are known from honeybee worker antennae: Sensilla trichoidea, Sensilla basiconica and Sensilla placodea. In the sensilla, odorant receptors that are located in the dendritic arborizations of the OSNs transduce the odorant information into electrical information. Approximately 60.000 OSN axons project in two parallel bundles along the antenna into the brain. Before they enter the primary olfactory brain center, the antennal lobe (AL), they diverge into four distinct tracts (T1-T4). OSNs relay onto ~3.000-4.000 local interneurons (LN) and ~900 projection neurons (PN), the output neurons of the AL. The axons of the OSNs together with neurites from LNs and PNs form spheroidal neuropil units, the so-called glomeruli. OSN axons from the four AL input tracts (T1-T4) project into four glomerular clusters. LNs interconnect the AL glomeruli, whereas PNs relay the information to the next brain centers, the mushroom body (MB) - associated with sensory integration, learning and memory - and the lateral horn (LH). In honeybees, PNs project to the MBs and the LH via two separate tracts, the medial and the lateral antennal-lobe tract (m/lALT) which run in parallel in opposing directions. The mALT runs first to the MB and then to the LH, the lALT runs first to the LH and then to the MB. This dual olfactory pathway represents a feature unique to Hymenoptera. Interestingly, both tracts were shown to process information about similar sets of odorants by extracting different features. Individual mALT PNs are more odor specific than lALT PNs. On the other hand, lALT PNs have higher spontaneous and higher odor response action potential (AP) frequencies than mALT PNs. In the MBs, PNs form synapses with ~184.000 Kenyon cells (KC), which are the MB intrinsic neurons. KCs, in contrast to PNs, show almost no spontaneous activity and employ a spatially and temporally sparse code for odor coding.
In manuscript I of my thesis, I investigated whether the differences in specificity of odor responses between m- and lALT are due to differences in the synaptic input. Therefore, I investigated the axonal projection patterns of OSNs housed in S. basiconica in honeybee workers and compared them with S. trichoidea and S. placodea using selective anterograde labeling with fluorescent tracers and confocal- microscopy analyses of axonal projections in AL glomeruli. Axons of S. basiconica-associated OSNs preferentially projected into the T3 input-tract cluster in the AL, whereas the two other types of sensilla did not show a preference for a specific glomerular cluster. T3- associated glomeruli had previously been shown to be innervated by mALT PNs. Interestingly, S. basiconica as well as a number of T3 glomeruli lack in drones. Therefore I set out to determine whether this was associated with the reduction of glomeruli innervated by mALT PNs. Retrograde tracing of mALT PNs in drones and counting of innervated glomeruli showed that the number of mALT-associated glomeruli was strongly reduced in drones compared to workers. The preferential projections of S. basiconica-associated OSNs into T3 glomeruli in female workers together with the reduction of mALT-associated glomeruli in drones support the presence of a female-specific olfactory subsystem that is partly innervated by OSNs from S. basiconica and is associated with mALT projection neurons. As mALT PNs were shown to be more odor specific, I suppose that already the OSNs in this subsystem are more odor specific than lALT associated OSNs. I conclude that this female-specific subsystem allows the worker honeybees to respond adequately to the enormous variety of odorants they experience during their lifetime.
In manuscript II, I investigated the ion channel composition of mALT and lALT PNs and KCs in situ. This approach represents the first study dealing with the honeybee PN and KC ion channel composition under standard conditions in an intact brain preparation. With these recordings I set out to investigate the potential impact of intrinsic neuronal properties on the differences between m- and lALT PNs and on the sparse odor coding properties of KCs. In PNs, I identified a set of Na+ currents and diverse K+ currents depending on voltage and Na+ or Ca2+ that support relatively high spontaneous and odor response AP frequencies. This set of currents did not significantly differ between mALT and lALT PNs, but targets for potential modulation of currents leading to differences in AP frequencies were found between both types of PNs. In contrast to PNs, KCs have very prominent K+ currents, which are likely to contribute to the sparse response fashion observed in KCs. Furthermore, Ca2+ dependent K+ currents were found, which may be of importance for coincidence detection, learning and memory formation.
Finally, I conclude that the differences in odor specificity between m- and lALT PNs are due to their synaptic input from different sets of OSNs and potential processing by LNs. The differences in spontaneous activity between the two tracts may be caused by different neuronal modulation or, in addition, also by interaction with LNs. The temporally sparse representation of odors in KCs is very likely based on the intrinsic KC properties, whereas general excitability and spatial sparseness are likely to be regulated through GABAergic feedback neurons.
Previous work of our group has established a role of sphingomyelinases in the regulation
of T cell responses to TCR or pathogen stimulation, and this became particularly
evident at the level of actin cytoskeletal dynamics. The formation of lipid membrane
microdomains is crucial for receptor clustering and signal induction, and therefore,
ceramide accumulation by membrane sphingomyelin breakdown is needed for signalling-
complex-assembly. Pathogen-induced overshooting of SMase activation substantially
impacted the formation of membrane protrusions, with T cell spreading as well as
a front/rear polarisation upon CD3/CD28 co-stimulation [103]. On the other hand, NSM
activation is part of the physiological TCR signal [67], indicating that a spatiotemporally
balanced NSM activation is crucial for its physiological function. It involves actin cytoskeletal
reorganisation and T cell polarisation. These two functions are also of central
importance in directional T cell migration and motility in tissues.
This thesis aims on defining the role of NSM in compartmentalisation of the T cell
membrane in polarisation and migration. Therefore, functional studies on the impact of
NSM activity in these processes had to be complemented by the development of tools
to study ceramide compartmentalisation in living T cells.
Purpose: We aim to provide an overview of the conventional single photon emission computed tomography (SPECT) and emerging positron emission tomography (PET) catecholamine analogue tracers for assessing myocardial nerve integrity, in particular focusing on \(^{18}\)F-labeled tracers.
Results: Increasingly, the cardiac sympathetic nervous system (SNS) is being studied by non-invasive molecular imaging approaches. Forming the backbone of myocardial SNS imaging, the norepinephrine (NE) transporter at the sympathetic nerve terminal plays a crucial role for visualizing denervated myocardium: in particular, the single-photon-emitting NE analogue \(^{123}\)I-meta-Iodobenzylguanidine (\(^{123}\)I-mIBG) has demonstrated favorable results in the identification of patients at a high risk for cardiac death. However, cardiac neuronal PET agents offer several advantages inlcuding improved spatio-temporal resolution and intrinsic quantifiability. Compared to their \(^{11}\)C-labeled counterparts with a short half-life (20.4 min), novel \(^{18}\)F-labeled PET imaging agents to assess myocardial nerve integrity have the potential to revolutionize the field of SNS molecular imaging: The longer half-life of \(^{18}\)F (109.8 min) allows for more flexibility in the study design and delivery from central cyclotron facilities to smaller hospitals may lead to further cost reduction. A great deal of progress has been made by the first in-human studies of such \(^{18}\)F-labeled SNS imaging agents. Moreover, dedicated animal platforms open avenues for further insights into the handling of radiolabeled catecholamine analogues at the sympathetic nerve terminal. Conclusions: \(^{18}\)F-labeled imaging agents demonstrate key properties for mapping cardiac sympathetic nerve integrity and might outperform current SPECT-based or \(^{11}\)C-labeled tracers in the long run.
Shiga toxin producing E. coli strains (STEC) are a great concern to human health. Upon an infection with as few as 100 bacteria, humans can develop disease symptoms ranging from watery to bloody diarrhea or even develop the hemolytic uremic syndrome (HUS). The major factor contributing to the disease symptoms is Shiga toxin (Stx) which can bind to the eukaryotic cells in the intestine of the human and induce cell death via apoptosis. Based, among other things, on the microbiota composition, the impact of STEC can vary. Some bacteria of the microbiota can interfere with the colonization of STEC strains in the first place. Others cannot impair the colonization but interfere with the toxin production and there are still others which are even infected by stx encoding phages, being released from STEC strains. Those previously harmless bacteria subsequently contribute to the toxin increase and worsen the disease progression. Since the genetic information of Stx is encoded on a prophage, antibiotic treatment of patients can lead to an increased toxin and stx-phage release and is therefore not recommended. Several STEC epidemics in different countries, which even resulted in the death of some patients, demonstrated that there is an urgent need for alternative treatment strategies.
The E. coli strain Nissle 1917 (EcN) has been used as a probiotic to treat gastrointestinal infections for more than 100 years. It harbors several fitness factors which contribute to the establishment of an intact intestinal barrier in the human gut. Moreover, studies with EcN unraveled that the probiotic E. coli can interfere with the colonization of STEC strains and their toxin production. This study aimed to investigate if EcN could be a possible alternative or supplementary treatment strategy for STEC infected patients, or a preventive treatment for the patient’s close contact persons.
Therefore, EcN was firstly investigated for a possible stx-prophage integration into its’s genome which would eliminate it from being a potential treatment due to the possibility of disease worsening. Despite the presence of the stx-phage surface receptor YaeT, EcN demonstrated a complete resistance towards the lysis and the lysogeny by stx-phages, which was proven by PCR, phage-plaque assays and phage enrichment approaches. Transcriptome data could unravel that a lambdoid prophage in the genome of EcN is involved in the resistance towards the phage infection. Other commensal E. coli tested presented a stx-phage resistance as well and in silico analysis revealed that all of them harbor a complete lambdoid prophage besides the stx-phage susceptible K-12 strain MG1655. We assume that the resistance of EcN towards a stx-phage infection is connected to the presence of an intact lambdoid prophage which interferes with superinfection.
Further experiments regarding the impact of the microcin negative EcN mutant SK22D towards STEC strains depicted that SK22D did not only interfere with the toxin production but also negatively regulated the transcription of the entire stx-prophage in coculture with all STEC strains tested (O157:H7, O26:H11, O145:H25, O103:H2, O111:H- and two O104:H4 isolates from the 2011 outbreak in Germany). This influence on the pathogenic factor production was evinced to be cell contact independent as SK22D could even interfere with the pathogenic factor production when being separated from the STEC strain EDL933 by a Transwell membrane with the pore size of 0.4 µm. From this data we concluded, that factor(s) released by SK22D interfere with the lysis of STEC strains by stabilizing the lysogenic state.
Another positive aspect of EcN towards the pathogenicity of STEC strains was encountered when EcN was incubated with isolated stx-phages. The probiotic strain could reduce the infectivity of the phages towards a MG1655 lysis from ~ 1e7 pfus/ml to 0 after 44 h of incubation. Various approaches to determine the characteristics of the factor(s) of EcN which are involved in the phage inactivation depicted it to be a heat resistant stationary phase protein on the surface of EcN, which could be a component of its biofilm.
Regarding the protective role of EcN we could further evince that SK22D was capable of interfering with the lysogenic K 12 mediated increase of Stx and stx phages. Lysogenic K-12 strains were characterized by a huge increase of Stx and stx-phage production. The presence of SK22D anyhow, could interfere with this K-12 mediated pathogenic factor increase. Transwell and stx phage infection kinetics led to the proposal that SK22D interfered with the stx-phage infection of K-12 strains in the first place rather than disturbing the lysis of lysogenic K 12. The protection from the phage infection could be due to the growth of K 12 strains within the SK22D culture, whereby the phage susceptible strains are masked from phage detection.
Summarizing, this work could underline the beneficial attributes of EcN towards the STEC pathogenicity in vitro. These results should be considered as pioneers for future in vivo studies to enable EcN medication as a supportive STEC infection treatment strategy.
Marine sponge-associated actinomycetes are reservoirs of diverse natural products with novel biological activities. Their antibiotic potential has been well explored against a range of Gram positive and negative bacteria. However, not much is known about their anti-infective or anti-virulence potential against human pathogens. This Ph.D. project aimed to investigate the anti-infective (anti-Shiga toxin and anti-biofilm) potential of sponge-derived actinobacteria through identification and isolation of their bioactive metabolites produced and characterizing their mechanism of action by transcriptomics. This thesis is divided into three studies with the overall objective of exploring the anti-infective efficacy of actinomycetes-derived extracts and compound(s) that could possibly be used as future therapeutics.
The first study deals with investigation on the anti-Shiga toxin effects of sponge-associated actinomycetes. Diarrheal infections pose a huge burden in several developing and developed countries. Diarrheal outbreaks caused by Enterohemorrhagic Escherichia coli (EHEC) could lead to life-threatening complications like gastroenteritis and haemolytic uremic syndrome (HUS) if left untreated. Shiga toxin (Stx) produced by EHEC is a major virulence factor that negatively affects the human cells, leading them to death via apoptosis. Antibiotics are not prescribed against EHEC infections since they may enhance the risk of development of HUS by inducing the production and release of Stx from disintegrating bacteria and thereby, worsening the complications. Therefore, an effective drug that blocks the Stx production without affecting the growth needs to be urgently developed. In this study, the inhibitory effects of 194 extracts and several compounds originating from a collection of marine sponge-derived actinomycetes were evaluated against the Stx production in EHEC strain EDL933 with the aid of Ridascreen® Verotoxin ELISA assay kit. It was found that treatment with the extracts did not lead to significant reduction in Stx production. However, strepthonium A isolated from the culture of Streptomyces sp. SBT345 (previously cultivated from the Mediterranean sponge Agelas oroides) reduced the Stx production (at 80 μM concentration) in EHEC strain EDL933 without affecting the bacterial growth. The structure of strepthonium A was resolved by spectroscopic analyses including 1D and 2D-NMR, as well as ESI-HRMS and ESI-HRMS2 experiments. This demonstrated the possible application of strepthonium A in restraining EHEC infections.
VI
In the second study, the effect of marine sponge-associated actinomycetes on biofilm formation of staphylococci was assessed. Medical devices such as contact lenses, metallic implants, catheters, pacemakers etc. are ideal ecological niches for formation of bacterial biofilms, which thereby lead to device-related infections. Bacteria in biofilms are multiple fold more tolerant to the host immune responses and conventional antibiotics, and hence are hard-to-treat. Here, the anti-biofilm potential of an organic extract derived from liquid fermentation of Streptomyces sp. SBT343 (previously cultivated from the Mediterranean sponge Petrosia ficiformis) was reported. Results obtained in vitro demonstrated its anti-biofilm (against staphylococci) and non-toxic nature (against mouse macrophage (J774.1), fibroblast (NIH/3T3) and human corneal epithelial cell lines). Interestingly, SBT343 extract could inhibit staphylococcal biofilm formation on polystyrene, glass and contact lens surfaces without affecting the bacterial growth. High Resolution Fourier Transform Mass Spectrometry (HR-MS) analysis indicated the complexity and the chemical diversity of components present in the extract. Preliminary physio-chemical characterization unmasked the heat stable and non-proteinaceous nature of the active component(s) in the extract. Finally, fractionation experiments revealed that the biological activity was due to synergistic effects of multiple components present in the extract.
In the third study, anti-biofilm screening of 50 organic extracts generated from solid and liquid fermentation of 25 different previously characterized sponge-derived actinomycetes was carried out. This led to identification of the anti-biofilm organic extract derived from the solid culture of Streptomyces sp. SBT348 (previously cultivated from the Mediterranean sponge Petrosia ficiformis). Bioassay-guided fractionation was employed to identify the active fraction Fr 7 in the SBT348 crude extract. Further purification with semi-preparative HPLC led to isolation of the bioactive SKC1, SKC2, SKC3, SKC4 and SKC5 sub-fractions. The most active sub-fraction SKC3 was found to be a pure compound having BIC90 and MIC values of 3.95 μg/ml and 31.25 μg/ml against S. epidermidis RP62A. SKC3 had no apparent toxicity in vitro on cell lines and in vivo on the greater wax moth Galleria melonella larvae. SKC3 was stable to heat and enzymatic treatments indicating its non-proteinaceous nature. HR-MS analysis revealed the mass of SKC3 to be 1258.3 Da. Structure elucidation of SKC3 with the aid of 1D and 2D-NMR data is currently under investigation. Further, to obtain insights into the mode of action of SKC3 on S. epidermidis RP62A, RNA sequencing was done. Transcriptome data revealed that SKC3 was recognized by RP62A at 20 min and SKC3 negatively interfered with the central metabolism of staphylococci at 3 h. Taken
VII
together, these findings suggest that SKC3 could be a lead structure for development of new anti-staphylococcal drugs.
Overall, the results obtained from this work underscore the anti-infective attributes of actinomycetes consortia associated with marine sponges, and their applications in natural product drug discovery programs.
Understanding human navigation behavior has implications for a wide range of application scenarios. For example, insights into geo-spatial navigation in urban areas can impact city planning or public transport. Similarly, knowledge about navigation on the web can help to improve web site structures or service experience.
In this work, we focus on a hypothesis-driven approach to address the task of understanding human navigation: We aim to formulate and compare ideas — for example stemming from existing theory, literature, intuition, or previous experiments — based on a given set of navigational observations. For example, we may compare whether tourists exploring a city walk “short distances” before taking their next photo vs. they tend to "travel long distances between points of interest", or whether users browsing Wikipedia "navigate semantically" vs. "click randomly".
For this, the Bayesian method HypTrails has recently been proposed. However, while HypTrails is a straightforward and flexible approach, several major challenges remain:
i) HypTrails does not account for heterogeneity (e.g., incorporating differently behaving user groups such as tourists and locals is not possible), ii) HypTrails does not support the user in conceiving novel hypotheses when confronted with a large set of possibly relevant background information or influence factors, e.g., points of interest, popularity of locations, time of the day, or user properties, and finally iii) formulating hypotheses can be technically challenging depending on the application scenario (e.g., due to continuous observations or temporal constraints). In this thesis, we address these limitations by introducing various novel methods and tools and explore a wide range of case studies.
In particular, our main contributions are the methods MixedTrails and SubTrails which specifically address the first two limitations: MixedTrails is an approach for hypothesis comparison that extends the previously proposed HypTrails method to allow formulating and comparing heterogeneous hypotheses (e.g., incorporating differently behaving user groups). SubTrails is a method that supports hypothesis conception by automatically discovering interpretable subgroups with exceptional navigation behavior. In addition, our methodological contributions also include several tools consisting of a distributed implementation of HypTrails, a web application for visualizing geo-spatial human navigation in the context of background information, as well as a system for collecting, analyzing, and visualizing mobile participatory sensing data.
Furthermore, we conduct case studies in many application domains, which encompass — among others — geo-spatial navigation based on photos from the photo-sharing platform Flickr, browsing behavior on the social tagging system BibSonomy, and task choosing behavior on a commercial crowdsourcing platform. In the process, we develop approaches to cope with application specific subtleties (like continuous observations and temporal constraints). The corresponding studies illustrate the variety of domains and facets in which navigation behavior can be studied and, thus, showcase the expressiveness, applicability, and flexibility of our methods. Using these methods, we present new aspects of navigational phenomena which ultimately help to better understand the multi-faceted characteristics of human navigation behavior.
African trypanosomes are the causative agents of fatal diseases in humans and livestock. Trypanosomes show a complex lifecycle and shuttle between the transmitting vector, the tsetse (Glossina spec.), and the mammalian host. As a result of this the parasite undergoes tremendous changes in morphology and metabolism to adapt to the different living environments.
The two best-studied lifecycle stages are the procyclic forms (PCF) that live in the tsetse fly and the proliferative bloodstream form (BSF) that resides in the mammalian blood. The most conspicuous weapon that trypanosomes use to evade the host immune attack is a dense layer of a single protein type, the variant surface glycoprotein (VSG), which shields the entire cell surface. Immune evasion required high rates of surface membrane turnover and surface coat recycling.
Trypanosomes show highly polarised cell architecture with all major eukaryotic organelles (endoplasmic reticulum, Golgi apparatus, endosomal apparatus, lysosome, mitochondrion and peroxisome-like glycosomes) generally present in single copy. Furthermore, trypanosomes possess a single flagellum, which is important not only for cellular motility but also for cell division.
How the duplication of all these cellular components is coordinated in order to progresss through the cell division cycle is poorly understood.
We used trypanosomes as a model organism due to the relative simplicity and the polarised nature of their cell architecture and determined the duplication of all their compartments. This was only possible due to a new synchronisation approach developed during this project.
In the first part of the thesis a precise temporal map of the cell division cycle of the BSF T. brucei cell division cycle was generated. By the use of well-described morphological markers (K/N status, new flagellum outgrowth and DNA synthesis) the position of individual cells was determined with high temporal resolution; this allowed us for the first time to synchronise a cell population in silico without affecting the naturally asynchronous growth.
In the second part of the thesis we used this tool to follow duplication events of the Major organelles during progression through the cell division cycle. We precisely determined the time points of organelle duplication and found that it is ordered in trypanosomes. Furthermore we found that BSF T. brucei cells do not grow continuously, cell size start to increase rapidly, during a short period of time, late in the cell division cycle. We speculate that the initiation of cell volume increase is temporally separated from the formation of all secretory organelles in order to ensure maintenance of the protective coat, which must remain intact at all times in order for BSF trypanosomes to be able to evade the host immune response.
Reliable standards and criteria for somatostatin receptor (SSTR) positron emission tomography (PET) are still lacking. We herein propose a structured reporting system on a 5-point scale for SSTR-PET imaging, titled SSTR-RADS version 1.0, which might serve as a standardized assessment for both diagnosis and treatment planning in neuroendocrine tumors (NET). SSTR-RADS could guide the imaging specialist in interpreting SSTR-PET scans, facilitate communication with the referring clinician so that appropriate work-up for equivocal findings is pursued, and serve as a reliable tool for patient selection for planned Peptide Receptor Radionuclide Therapy.
Characterization of motility and erythrocyte adherence as virulence factors in African trypanosomes
(2018)
Pathogens causing African animal trypanosomiasis (AAT), the major livestock disease in sub-Saharan Africa, belong to the salivarian group of the African trypanosomes, which are transmitted by the bite of the tsetse fly (Glossina spec.). T. vivax, T. congolense and T. brucei brucei are major pathogens of cattle in particular, causing nagana, with dramatic socio-economic consequences for the affected regions. The parasites additionally have a huge reservoir of other livestock and wild animal hosts. T. brucei, the species which also includes the subspecies pathogenic to humans causing sleeping sickness, has been extensively studied as the cultivatable model trypanosome. But less is known about the other salivarian species, which are not routinely held in culture, if at all possible. A hallmark of trypanosomal lifestyle is the protozoan flagellates incessant motility, which enables them to populate an enormous range of habitats in very diverse hosts. We were now able to characterize, for the first time with high spatiotemporal resolution microscopy, the swimming behaviour and mechanism of the most relevant salivarian species isolated directly from blood. We show the influence of viscosity on the motility of bloodstream form (BSF) cells and simulate their movement between erythrocytes, giving a clear picture of how all analyzed species move under varying environmental conditions. We show that although the basic mechanism of flagellar motility applies to all analyzed species, there are clear morphological differences that produce different reactions to the physical environment. We could define specific conditions for highly increased swimming persistence and speed for compared to the behaviour in standard culture. These results have important implications for the parasites survival strategies in the host, e.g. regarding the capacity for antibody clearance. Although we show all species to effectively remove antibodies from the cell surface, T. congolense differed markedly in its motility behaviour, which gives rise to interesting questions about this species behaviour in the bloodstream. Most of the T. congolense parasites (and to a lesser extent T. vivax) adhere to sheep erythrocytes. Further in vitro studies showed that T. congolense and T. vivax adhered to rabbit, goat, pig and cattle erythrocytes- but binding behaviour was absent in murine blood. Notably, both T. brucei and T. evansi lacked adherence to all studied host erythrocytes. Generally, attachment to blood cells caused reduction of swimming velocities. Judging from its cell architecture, as well as the motility studies in higher media viscosity and in micropillar arrays, T. congolense is not adapted to swim at high speeds in the mammalian bloodstream. Low swimming speeds could allow these purely intravascular parasites to remain bound to the host erythrocytes.
Background: \(^{123}\)I-metaiodobenzylguanidine (mIBG) provides independent prognostic value for risk stratification among heart failure patients, but the use of concomitant medication should not impact its quantitative information. We aimed to evaluate the four most-prescribed antidepressants currently used as a first‑line treatment for patients with major depressive disorder (MDD) and their potential on altering mIBG imaging results.
Methods: The inhibition effect of four different types of antidepressants (desipramine, escitalopram, venlafaxine and bupropion) for MDD treatment on \(^{131}\)I-mIBG uptake was assessed by in-vitro cell uptake assays using human neuroblastoma SK-N-SH cells. The half maximal inhibitory concentration (IC50) of tracer uptake was determined from dose-response curves. To evaluate the effects of IV pretreatment with desipramine (1.5 mg/kg) and escitalopram (2.5, 15 mg/kg) on mIBG cardiac uptake, in-vivo planar 123I-mIBG scans in healthy New Zealand White Rabbits were conducted. Results: The IC50 values of desipramine, escitalopram, venlafaxine and bupropion on \(^{131}\)I-mIBG cellular uptake were 11.9 nM, 7.5 μM, 4.92 μM, and 12.9 μM, respectively. At the maximum serum concentration (Cmax, as derived by previous clinical trials), the inhibition rates of 131I-mIBG uptake were 90.6 % for desipramine, 25.5 % for venlafaxine, 11.7 % for bupropion and 0.72 % for escitalopram. A low inhibition rate for escitalopram in the cell uptake study triggered investigation of an in-vivo rabbit model: with dosage considerably higher than clinical practice, the non-inhibitory effect of escitalopram was confirmed. Furthermore, pretreatment with desipramine led to a marked reduction of cardiac 123I-mIBG uptake.
Conclusions: In the present in-vitro binding assay and in-vivo rabbit study, the selective-serotonin reuptake inhibitor escitalopram had no major impact on neuronal cardiac mIBG uptake within therapeutic dose ranges, while other types of first-line antidepressants for MDD treatment led to a significant decrease. These preliminary results warrant further confirmatory clinical trials regarding the reliability of cardiac mIBG imaging, in particular, if the patient’s neuropsychiatric status would not tolerate withdrawal of a potentially norepinephrine interfering antidepressant.
As a cradle of ancient Chinese civilization, the Yellow River Basin has a very long human-environment interrelationship, where early anthropogenic activities re- sulted in large scale landscape modifications. Today, the impact of this relationship
has intensified further as the basin plays a vital role for China’s continued economic
development. It is one of the most densely-populated, fastest growing, and most dynamic
regions of China with abundant natural and environmental resources providing a livelihood for almost 190 million people. Triggered by fundamental economic reforms, the
basin has witnessed a spectacular economic boom during the last decades and can be
considered as an exemplary blueprint region for contemporary dynamic Global Change
processes occurring throughout the country, which is currently transitioning from an
agrarian-dominated economy into a modern urbanized society. However, this resourcesdemanding growth has led to profound land use changes with adverse effects on the Yellow
River social-ecological systems, where complex challenges arise threatening a long-term
sustainable development.
Consistent and continuous remote sensing-based monitoring of recent and past land
cover and land use change is a fundamental requirement to mitigate the adverse impacts
of Global Change processes. Nowadays, technical advancement and the multitude of
available satellite sensors, in combination with the opening of data archives, allow the
creation of new research perspectives in regional land cover applications over heterogeneous landscapes at large spatial scales. Despite the urgent need to better understand the
prevailing dynamics and underlying factors influencing the current processes, detailed
regional specific land cover data and change information are surprisingly absent for this
region.
In view of the noted research gaps and contemporary developments, three major objectives are defined in this thesis. First (i), the current and most pressing social-ecological
challenges are elaborated and policy and management instruments towards more sustainability are discussed. Second (ii), this thesis provides new and improved insights on
the current land cover state and dynamics of the entire Yellow River Basin. Finally (iii),
the most dominant processes related to mining, agriculture, forest, and urban dynamics
are determined on finer spatial and temporal scales.
The complex and manifold problems and challenges that result from long-term abuse
of the water and land resources in the basin have been underpinned by policy choices,
cultural attitude, and institutions that have evolved over centuries in China. The tremendous economic growth that has been mainly achieved by extracting water and exploiting
land resources in a rigorous, but unsustainable manner, might not only offset the economic benefits, but could also foster social unrest. Since the early emergence of the first Chinese dynasties, flooding was considered historically as a primary issue in river management and major achievements have been made to tame the wild nature of the Yellow
River. Whereas flooding is therefore largely now under control, new environmental and
social problems have evolved, including soil and water pollution, ecological degradation,
biodiversity decline, and food security, all being further aggravated by anthropogenic
climate change. To resolve the contemporary and complex challenges, many individual
environmental laws and regulations have been enacted by various Chinese ministries.
However, these policies often pursue different, often contradictory goals, are too general
to tackle specific problems and are usually implemented by a strong top-down approach.
Recently, more flexible economic and market-based incentives (pricing, tradable permits,
investments) have been successfully adopted, which are specifically tailored to the respective needs, shifting now away from the pure command and regulating instruments.
One way towards a more holistic and integrated river basin management could be the
establishment of a common platform (e.g. a Geographical Information System) for data
handling and sharing, possibly operated by the Yellow River Basin Conservancy Commission (YRCC), where available spatial data, statistical information and in-situ measures
are coalesced, on which sustainable decision-making could be based. So far, the collected
data is hardly accessible, fragmented, inconsistent, or outdated.
The first step to address the absence and lack of consistent and spatially up-to-date
information for the entire basin capturing the heterogeneous landscape conditions was
taken up in this thesis. Land cover characteristics and dynamics were derived from
the last decade for the years 2003 and 2013, based on optical medium-resolution hightemporal MODIS Normalized Differenced Vegetation Index (NDVI) time series at 250 m.
To minimize the inherent influence of atmospheric and geometric interferences found in
raw high temporal data, the applied adaptive Savitzky-Golay filter successfully smoothed
the time series and substantially reduced noise. Based on the smoothed time series
data, a large variety of intra-annual phenology metrics as well as spectral and multispectral annual statistics were derived, which served as input variables for random
forest (RF) classifiers. High quality reference data sets were derived from very high
resolution imagery for each year independently of which 70 % trained the RF models. The
accuracy assessments for all regionally specific defined thematic classes were based on the
remaining 30 % reference data split and yielded overall accuracies of 87 % and 84 % for
2003 and 2013, respectively. The first regional adapted Yellow River Land Cover Products
(YRB LC) depict the detail spatial extent and distribution of the current land cover status
and dynamics. The novel products overall differentiate overall 18 land cover and use
classes, including classes of natural vegetation (terrestrial and aquatic), cultivated classes,
mosaic classes, non-vegetated, and artificial classes, which are not presented in previous
land cover studies so far.
Building on this, an extended multi-faceted land cover analysis on the most prominent
land cover change types at finer spatial and temporal scales provides a better and more
detailed picture of the Yellow River Basin dynamics. Precise spatio-temporal products
about mining, agriculture, forest, and urban areas were examined from long-trem Landsat
satellite time series monitored at annual scales to capture the rapid rate of change in four
selected focus regions. All archived Landsat images between 2000 and 2015 were used to
derive spatially continuous spectral-temporal, multi-spectral, and textural metrics. For
each thematic region and year RF models were built, trained and tested based on a stablepixels reference data set. The automated adaptive signature (AASG) algorithm identifies those pixels that did not change between the investigated time periods to generate a
mono-temporal reference stable-pixels data set to keep manual sampling requirements
to a minimum level. Derived results gained high accuracies ranging from 88 % to 98 %.
Throughout the basin, afforestation on the Central Loess Plateau and urban sprawl are
identified as most prominent drivers of land cover change, whereas agricultural land
remained stable, only showing local small-scale dynamics. Mining operations started in
2004 on the Qinghai-Tibet Plateau, which resulted in a substantial loss of pristine alpine
meadows and wetlands.
In this thesis, a novel and unique regional specific view of current and past land cover
characteristics in a complex and heterogeneous landscape was presented by using a
multi-source remote sensing approach. The delineated products hold great potential for
various model and management applications. They could serve as valuable components
for effective and sustainable land and water management to adapt and mitigate the
predicted consequences of Global Change processes.
Urban areas are population, culture and infrastructure concentration points. Electricity blackouts or interruptions of water supply severely affect people when happening unexpected and at large scale. Interruptions of such infrastructure supply services alone have the potential to trigger crises. But when happening in concert with or as a secondary effect of an earthquake, for example, the crisis situation is often aggravated. This is the case for any country, but it has been observed that even highly industrialised
countries face severe risks when their degree of acquired dependency on services of what is termed Critical Infrastructure results in even bigger losses when occurring unexpectedly in a setting that usually has high reliability of services.
Involvement of neuronal nitric oxide synthase (NOS-I) PDZ interactions in neuropsychiatric disorders
(2018)
Neuronal nitric oxide (NO) synthase (NOS-I) and its adaptor protein (NOS1AP) have been repeatedly and consistently associated with neuropsychiatric disorders in several genetic association and linkage studies, as well as functional studies. NOS-I has an extended PDZ domain which enables it to interact with postsynaptic density protein 95 (PSD-95) bringing NOS-I in close proximity to NMDA receptors. This interaction allows NMDA receptor activity dependent calcium-influx to activate NOS-I, linking NO synthesis to regulation of glutamatergic signaling pathways. NOS1AP is a PDZ-domain ligand of NOS-I and has been proposed to compete with PSD-95 for NOS-I interaction. Studies performed on post-mortem brain tissues have shown increased expression of NOS1AP in patients with schizophrenia and bipolar disorder, suggesting that increased NOS-I/NOS1AP interactions might be involved in neuropsychiatric disorders possibly through disruption of NOS-I PDZ interactions. Therefore, I have investigated the involvement of NOS-I in different endophenotypes of neuropsychiatric disorders by targeting its specific PDZ interactions in vitro and in vivo. To this end, I used recombinant adeno-associated virus (rAAV) vectors expressing NOS1AP isoforms/domains (NOS1AP-L: full length NOS1AP; NOS1AP-LC20: the last 20 amino acids of NOS1AP-L, containing the PDZ interaction motif suggested to stabilize interaction with NOS-I; NOS1AP-LΔC20: NOS1AP-L lacking the last 20 amino acids; NOS1AP-S: the short isoform of NOS1AP), residues 396-503 of NOS1AP-L (NOS1AP396-503) encoding the full NOS-I interaction domain, and N-terminal 133 amino acids of NOS-I (NOS-I1-133) encoding for the extended PDZ-domain.
Neuropsychiatric disorders involve morphological brain changes including altered dendritic
development and spine plasticity. Hence, I have examined dendritic morphology in primary cultured hippocampal and cortical neurons upon overexpression of constructed rAAV vectors. Sholl analysis revealed that overexpression of NOS1AP-L and NOS1AP-LΔC20 mildly reduced dendritic length/branching. Moreover, overexpression of all NOS1AP isoforms/domains resulted in highly altered spine plasticity including significant reduction in the number of mature spines and increased growth of filopodia. These findings suggest that NOS1AP affects dendritic growth
and development of dendritic spines, which may involve both, increased NOS-I/NOS1AP interaction as well as interaction of NOS1AP with proteins other than NOS-I. Interestingly, the observed alterations in dendritic morphology were reminiscent of those observed in post-mortem brains of patients with neuropsychiatric disorders.
Given the dendritic alterations in vitro, I have examined, whether disruption of NOS-I PDZ interaction would also result in behavioral deficits associated with neuropsychiatric disorders. To this end, rAAV vectors expressing NOS1AP-L, NOS1AP396-503, NOS-I1-133, and mCherry were stereotaxically delivered to the dorsal hippocampus of 6-week-old male C57Bl/6J mice. One week after surgery, mice were randomly separated into two groups. One of those groups underwent three weeks of chronic mild stress (CMS). Afterwards all mice were subjected to a comprehensive behavioral analysis. The findings revealed that overexpression of the constructs did not result in phenotypes related to anxiety or depression, though CMS had an anxiolytic effect independent of the injected construct. Mice overexpressing NOS-I1-133, previously shown to disrupt NOS-I/PSD-95 interaction, showed impaired spatial memory, sensorimotor gating, social interaction, and increased locomotor activity. NOS1AP overexpressing mice showed mild impairments in sensorimotor gating and spatial working memory and severely impaired social interaction. NOS1AP396-503 overexpressing mice also showed impaired social interaction but enhanced sensorimotor gating and reduced locomotor activity. Taken together, these behavioral findings indicate an involvement of NOS-I PDZ interactions in phenotypes associated with positive symptoms and cognitive deficits of psychotic disorders.
In summary, this study revealed an important contribution of NOS-I protein interactions in the development of endophenotypic traits of neuropsychiatric disorders, in particular schizophrenia,
at morphological and behavioral levels. These findings might eventually aid to a better
understanding of NOS-I-dependent psychopathogenesis, and to develop pharmacologically relevant treatment strategies.