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The propounded thesis investigated fear learning including fear conditioning, its generalization as well as its extinction in 133 healthy children and adolescents aged 8 to 17 years. The main goal was to analyze these processes also in the course of childhood and adolescence due to far less research in this age span compared to adults. Of note, childhood is the typical period for the onset of anxiety disorders. To achieve this, an aversive discriminative fear conditioning, generalization and extinction paradigm, which based on the “screaming lady paradigm” from Lau et al. (2008) and was adapted by Schiele & Reinhard et al. (2016), was applied. All probands traversed the pre-acquisition (4 x CS-, 4 x CS+, no US), the acquisition (12 x CS-, 12 x CS+, reinforcement rate: 83%), the generalization (12 x CS-, 12 x GS4, 12 x GS3, 12 x GS2, 12 x GS1, 12 x CS+, reinforcement rate: 50%) and the extinction (18 x CS-, 18 x CS+, no US). The generalization stimuli, i.e. GS1-GS4, were built out of CS- and CS+ in different mixtures on a percentage basis in steps of 20% from CS- to CS+. Pictures of faces of two actresses with a neutral expression were used for the discriminative conditioning, whereby the CS+ was paired with a 95-dB loud female scream at the same time together with a fearful facial expression (US). CS- and GS1-GS4 were never followed by the US. Subjective ratings (arousal, valence and US expectancy) were collected and further the psychophysiological measure of the skin conductance response (SCR). The hypotheses were 1) that underage probands show a negative correlation between age and overgeneralization and 2) that anxiety is positively correlated with overgeneralization in the same sample. ANOVAs with repeated measures were conducted for all four dependent variables with phase (pre-acquisition phase, 1. + 2. acquisition phase, 1. + 2. generalization phase, 1. - 3. extinction phase) and stimulus type
(CS-, CS+, GS1-GS4) as within-subject factors. For the analyses of the modulatory effects of age and anxiety in additional separate ANCOVAs were conducted including a) age, b) the STAIC score for trait anxiety and c) the CASI score for anxiety sensitivity as covariates. Sex was always included as covariate of no interest. On the one hand, findings indicated that the general extent of the reactions (arousal, valence and US expectancy ratings and the SCR) decreased with growing age, i.e. the older the probands the lower their reactions towards the stimuli regardless of the type of dependent variable. On the other hand, ratings of US expectancy, i.e. the likelihood that a stimulus is followed by a US (here: female scream coupled with a fearful facial expression), showed better discrimination skills the older the probands were, resulting in a smaller overgeneralization within older probands. It must be emphasized very clearly that no causality can be derived. Thus, it was only an association revealed between
15
age and generalization of conditioned fear, which is negative. Furthermore, no obvious impact of trait anxiety could be detected on the different processes of fear learning. Especially, no overgeneralization was expressed by the probands linked to higher trait anxiety. In contrast to trait anxiety, for anxiety sensitivity there was an association between its extent and the level of fear reactions. This could be described best with a kind of parallel shifts: the higher the anxiety sensitivity, the stronger the fear reactions. Likewise, for anxiety sensitivity no overgeneralization due to a stronger extent of anxiety sensitivity could be observed.
Longitudinal follow-up examinations and, furthermore, neurobiological investigations are needed for replication purposes and purposes of gaining more supporting or opposing insights, but also for the profound exploration of the impact of hormonal changes during puberty and of the maturation processes of different brain structures. Finally, the question whether enhanced generalization of conditioned fear facilitates the development of anxiety disorders or vice versa remains unsolved yet.
Avocado (Persea americana Mill.) is a major horticultural crop that relies on insect mediated pollination. In avocado production, a knowledge gap exists as to the importance of insect pollination, especially in East African smallholder farms. Although it is evident that pollination improves the yield of avocado fruits, it is still unclear if pollination has benefits on fruit quality and the nutritional profile, particularly oils. Prior studies have shown that honey bees increase avocado’s fruit set and yield. However, an avocado flower is being visited by various insect species. Therefore, determining pollination efficiency will allow a comparison of the relative importance of the different insect species to optimize crop pollination for increased fruit set and crop yield and pollinator conservation. This study was conducted in a leading smallholder avocado production region in Kenya, first I assessed the dependence of avocado fruit set on insect pollination and whether current smallholder production systems suffer from a deficit in pollination services. Furthermore, I assessed if supplementation with colonies of the Western honey bee (Apis mellifera L.) to farms mitigated potential pollination deficits. The results revealed a very high reliance of avocado on insect pollinators, with a significantly lower fruit set observed for self- and wind-pollinated (17.4%) or self-pollinated flowers (6.4%) in comparison with insect-pollinated flowers (89.5%). I found a significant pollination deficit across farms, with hand-pollinated flowers on average producing 20.7% more fruits than non-treated open flowers prior to fruit abortion. This pollination deficit could be compensated by the supplementation of farms with A. mellifera colonies. These findings suggest that pollination is limiting fruit set in avocado and that A. mellifera supplementation on farms is a potential option to increase fruit yield. Secondly, I investigated the contribution of insect pollination to fruit and seed weight, oil, protein, carbohydrate, and phytochemicals contents (flavonoids and phenolics), and whether supplementation with pollinators (honey bee) could improve these fruit parameters was assessed. This was through pollinator-manipulative pollination treatments: hand, open, pollinator exclusion experiments. The results showed that avocado fruit weight was significantly higher in open and hand-pollinated than pollinator exclusion treatments, indicating that flower visitors/pollinators contribute to avocado yields and enhance marketability. Furthermore, insect pollination resulted in heavier seeds and higher oil contents, indicating that insect pollination is beneficial for the fruit’s high seed yield and quantity of oil. Honey bee supplementation also enhanced the avocado fruit weight by 18% more than in control farms and slightly increased the avocado oil content (3.6%). Contrarily, insect pollination did not influence other assayed fruit quality parameters (protein, carbohydrates, and phytochemicals). These results indicate that insect pollinators are essential for optimizing avocado yields, nutritional quality (oils), and thus marketability, underscoring the value of beehive supplementation to achieve high-quality avocado fruits and improved food security. Thirdly, pollinator efficiency based on pollen deposition after single visits by different pollinator species in avocado flowers was tested, and their frequency was recorded. The estimated pollination efficiency was highest in honey bees (Apis mellifera), followed by the hoverfly species (Phytomia incisa). These two species had the highest pollen deposition and more pollen grains on their bodies. In addition, honey bees were the most frequent avocado flower visitors, followed by flies. The findings from this study highlight the higher pollination efficiency of honey bees and Phytomia incisa. Hence, management practices supporting these species will promote increased avocado fruit yield. Additionally, these results imply that managed honey bees can be maintained to improve avocado pollination, particularly in areas lacking sufficient wild pollinators.
Mesenchymal stem/stromal cells (MSCs) are a rare subpopulation of cells first identified in bone marrow with the potential to proliferate in plastic-adherent colonies and to generate de novo bone marrow stroma and its environment upon serial transplantation to heterotopic anatomical sites. Given their multipotency and self renewal competence, MSCs are prime prospective candidates for most modern musculoskeletal-tissue engineering and regenerative medicine approaches. Still, their envisioned therapeutic use is being questioned with concerns regarding their definition, characterization and integrative functions in vivo. It is well established that microenvironmental cues such as the extracellular matrix (ECM)-chemistry, the mechanical environment and local cellular and/or paracrine interactions critically control MSCs behavior. Yet, most of the scientific knowledge regarding the biology and therapeutic effect of MSCs originates from mechanistic in vitro studies where microenvironmental cues are hardly addressed. Therefore, manifestable changes in cell proliferation behavior and multilineage differentiation potential might be triggered that eventually compromise the translation of results to clinics. This thesis aims to address the complexity of MSCs interactions within the skeletal niche microenvironment in order to provide alternative methods to bypass the current MSCs in vitro culture limitations. Firstly, the influence of ECM-chemistry on MSCs behavior in vitro was explored by means of decellularized human bone models here established. Basal or osteogenic tailored cell-derived decellularized 2D matrices (dECM), proved to be suitable culture substrates for MSCs expansion by providing close-to-native cell-ECM interactions. Moreover, quantified morphological shape changes suggested a material osteo supportive potential, further functionally validated by observable spontaneous mineralization of MSCs. Aiming to identify novel intrinsic ECM regulatory features specific to the skeletal niche, 3D decellularized human trabecular bone scaffolds (dBone) were additionally developed and comprehensively characterized. Remarkably, the MSCs cultured on dBone scaffolds exhibit upregulation of genes associated with stemness as well as niche-related protein expression advocating for the conservation of the naïve MSCs phenotype. vi On the other hand, the effect of biomimetic mineralization on MSCs osteogenic lineage differentiation potential was further addressed by hydroxyapatite functionalization of type-I collagen in presence of magnesium. Mineralized scaffolds exhibited higher cell viability and a clear trend of osteogenic genes upregulation comparing with non-mineralized scaffolds. Lastly, in order to mimic the complexity of the native MSCs environment, a dynamic culture system was applied to the 3D decellularized bone constructs, previously studied in single static conditions. Mechanical stimuli generated by (1) continuous perfusion of cell culture medium at 1.7 mL/min and (2) compressive stress from 10% uniaxial load at 1 Hz, resulted in an improved cell repopulation within the scaffold and boosting of de novo ECM production. The stress-induced gene expression pattern suggested early MSCs commitment towards the osteogenic lineage mediated by integrin matrix adhesion, therefore further corroborating the recapitulation of a reliable in vitro bone niche model in dBone scaffolds. To conclude, the here developed in vitro models provide a progressive increased biomimicking complexity through which significant insights regarding MSC interactions with microenvironmental features in the skeletal niche can be obtained, thus surely paving the way for a better understanding of the role of MSCs in bone homeostasis and regeneration.
RNA sequencing (RNA-seq) has become a transformative method to profile genome-wide gene expression and whole transcriptome analysis over the last decade. In recent years, with the development of new technologies, it has become possible to study gene expression at single-cell level. This new advances in single-cell RNA-sequencing has revolutionized the way scientists study biological processes. Single-cell RNA-sequencing has been used in different areas to better understand the underlying mechanisms of biological processes.
In particular, single-RNA-sequencing is a suitable method to study infectious diseases. Infection is composed of heterogeneous mechanisms on either the host or pathogen side and the best way to understand the heterogeneity of these mechanisms and how they interact with each other is to study infectious diseases at the single-cell level. Studying infection processes at the single-cell level can reveal not only the heterogeneity but also the dynamics of infection and the interplay between the host and pathogen at the molecular level.
In this thesis, we implemented and applied different single-cell RNA-seq technologies to better understand infectious diseases. In the present work, we conducted four independent but related research works to shed light on different aspects of infection biology:
● We took advantage of this novel technology to study the consequences of RSV infection on primary human epithelial cells. The primary human epithelial cells were collected from six donors and cultured in air liquid interface (ALI) cell culture inoculated with respiratory syncytial virus (RSV). In this project, we discovered ciliated cells as the susceptible cell types in RSV infection. We applied viral load as an indicator of infection progression and used it to reconstruct the dynamics of host response to RSV infection. Reconstruction of the dynamics of infection revealed many host genes and pathways that were suppressed or induced as a result of RSV infection. Pathways related to innate immune response and interferon response were suppressed during the progression of infection and on the other hand pathways like protein targeting to endoplasmic reticulum and apoptosis were induced.
● We developed a new method which is capable of sequencing the transcriptome of a bacterium at the single-cell level and potentially can help us to characterize the bacterial heterogeneity during the course of infection. In this research project, bacteria were cultured in three different culture conditions namely Late stationary phase, Anaerobic shock and NaCl shock and we used a poly(A)-independent single-cell RNA-sequencing protocol to sequence bacteria at the single-cell level. In this work, we report the faithful capture of growth-dependent gene expression patterns in individual Salmonella and Pseudomonas bacteria. The results of our analysis showed that not only we could capture transcripts across different RNA classes but also our method is capable of discerning the transcriptome of bacteria across different culture conditions.
● We used single-cell RNA-sequencing technology to characterize the immune cells landscape over the course of atherosclerosis. Atherosclerosis is considered a cardiac disease which is highly related to infections and previous infections with bacteria or viruses is considered as a risk factor for atherosclerosis. We performed single-cell RNA sequencing of aortic CD45+ cells extracted from healthy and atherosclerotic aorta of mice. We managed to find certain cell populations which were specifically present in atherosclerotic mice. One of the atheroschelorotic populations was previously undescribed TREM2high macrophages showing enrichment in Trem2 gene expression. This population of macrophages seemed to be involved in functions like lipid metabolism and catabolism and lesion calcification. This work revealed the phenotypic heterogeneity and immune cells landscape of different immune cell populations at different stages of atherosclerosis. Our work paves the way to better describe the relation between different infectious diseases and cardiovascular diseases.
● We developed a web-based platform called Infection Atlas to browse and visualize single-cell RNA-sequencing data. Infection Atlas platform provides a user-friendly interface to study different aspects of infectious diseases at the single-cell level and can potentially promote targeted approaches to intervene in infectious diseases. This platform which is available at infection-atlas.org in the short term provides a user-friendly interface to browse and visualize different aspects of infectious diseases and in the long-term is expected to be a comprehensive atlas of infection in human and mouse across different tissues and different pathogens.
Overall, in this thesis we provide a framework to study infectious diseases at the single cell level with providing novel data analysis methods and this thesis paves the way for future studies to study host-pathogen encounters at the single-cell level.
The small intestine represents a strong barrier separating the lumen from blood circulation thereby playing a major role in the absorption and the transport of pharmacological agents prior to their arrival on the respective target site. In order to gain more knowledge about specialized uptake mechanisms and risk assessment for the patient after oral admission of drugs, intestinal in vitro models demonstrating a close similarity to the in vivo situation are needed.
In the past, cell line-based in vitro models composed of Caco-2 cells cultured on synthetic cell carriers represented the “gold standard” in the field of intestinal tissue engineering. Expressive advantages of these models are a reproducible, cost-efficient and standardized model set up, but cell function can be negatively influenced by the low porosity or unwanted molecular adhesion effects of the artificial scaffold material. Natural extracellular matrices (ECM) such as the porcine decellularized small intestinal submucosa (SIS) are used as alternative to overcome some common drawbacks; however, the fabrication of these scaffolds is time- and cost-intensive, less well standardized and the 3Rs (replacement, reduction, refinement) principle is not entirely fulfilled. Nowadays, biopolymer-based scaffolds such as the bacterial nanocellulose (BNC) suggest an interesting option of novel intestinal tissue engineered models, as the BNC shows comparable features to the native ECM regarding fiber arrangement and hydrophilic properties. Furthermore, the BNC is of non-animal origin and the manufacturing process is faster as well as well standardized at low costs.
In this context, the first part of this thesis analyzed the BNC as alternative scaffold to derive standardized and functional organ models in vitro. Therefore, Caco-2 cells were cultured on two versions of BNC with respect to their surface topography, the unmodified BNC as rather smooth surface and the surface-structured BNC presenting an aligned fiber arrangement. As controls, Caco-2 in vitro models were set up on PET and SIS matrices. In this study, the BNC-based models demonstrated organ-specific properties comprising typical cellular morphologies, a characteristic tight junction protein expression profile, representative ultrastructural features and the formation of a tight epithelial barrier together with a corresponding transport activity. In summary, these results validated the high quality of the BNC-based Caco-2 models under cost-efficient conditions and their suitability for pre-clinical research purposes. However, the full functional diversity of the human intestine cannot be presented by Caco-2 cells due to their tumorigenic background and their exclusive representation of mature enterocytes.
Next to the scaffold used for the setup of in vitro models, the cellular unit mainly drives functional performance, which demonstrates the crucial importance of mimicking the cellular diversity of the small intestine in vitro. In this context, intestinal primary organoids are of high interest, as they show a close similarity to the native epithelium regarding their cellular diversity comprising enterocytes, goblet cells, enteroendocrine cells, paneth cells, transit amplifying cells and stem cells. In general, such primary organoids grow in a 3D Matrigel® based environment and a medium formulation supplemented with a variety of growth factors to maintain stemness, to inhibit differentiation and to stimulate cell migration supporting long term in vitro culture.
Intestinal primary spheroid/organoid cultures were set up as Transwell®-like models on both BNC variants, which resulted in a fragmentary cell layer and thereby unfavorable properties of these scaffold materials under the applied circumstances. As the BNC manufacturing process is highly flexible, surface properties could be adapted in future studies to enable a good cell adherence and barrier formation for primary intestinal cells, too. However, the application of these organoid cultures in pre-clinical research represents an enormous challenge, as the in vitro culture is complex and additionally time- and cost-intensive.
With regard to the high potential of primary intestinal spheroids/organoids and the necessity of a simplified but predictive model in pre-clinical research purposes, the second part of this thesis addressed the establishment of a primary-derived immortalized intestinal cell line, which enables a standardized and cost-efficient culture (including in 2D), while maintaining the cellular diversity of the organoid in vitro cultures. In this study, immortalization of murine and human intestinal primary organoids was induced by ectopic expression of a 10- (murine) or 12 component (human) pool of genes regulating stemness and the cell cycle, which was performed in cooperation with the InSCREENeX GmbH in a 2D- and 3D-based transduction strategy. In first line, the established cell lines (cell clones) were investigated for their cell culture prerequisites to grow under simplified and cost-efficient conditions. While murine cell clones grew on uncoated plastic in a medium formulation supplemented with EGF, Noggin, Y-27632 and 10% FCS, the human cell clones demonstrated the necessity of a Col I pre coating together with the need for a medium composition commonly used for primary human spheroid/organoid cultures. Furthermore, the preceding analyses resulted in only one human cell clone and three murine cell clones for ongoing characterization. Studies regarding the proliferative properties and the specific gene as well as protein expression profile of the remaining cell clones have shown, that it is likely that transient amplifying cells (TACs) were immortalized instead of the differentiated cell types localized in primary organoids, as 2D, 3D or Transwell®-based cultures resulted in slightly different gene expression profiles and in a dramatically reduced mRNA transcript level for the analyzed marker genes representative for the differentiated cell types of the native epithelium. Further, 3D cultures demonstrated the formation of spheroid-like structures; however without forming organoid-like structures due to prolonged culture, indicating that these cell populations have lost their ability to differentiate into specific intestinal cell types. The Transwell®-based models set up of each clone exhibit organ-specific properties comprising an epithelial-like morphology, a characteristic protein expression profile with an apical mucus-layer covering the villin-1 positive cell layer, thereby representing goblet cells and enterocytes, together with representative tight junction complexes indicating an integer epithelial barrier. The proof of a functional as well as tight epithelial barrier in TEER measurements and in vivo-like transport activities qualified the established cell clones as alternative cell sources for tissue engineered models representing the small intestine to some extent. Additionally, the easy handling and cell expansion under more cost-efficient conditions compared to primary organoid cultures favors the use of these newly generated cell clones in bioavailability studies.
Altogether, this work demonstrated new components, structural and cellular, for the establishment of alternative in vitro models of the small intestinal epithelium, which could be used in pre-clinical screenings for reproducible drug delivery studies.
The transcription factor MYC is a onco-protein, found to be deregulated in many human cancers. High MYC levels correlate with an aggressive tumor outcome and poor survival rates. Despite MYC being discovered as an oncogene already in the 1970s, how MYC regulates transcription of its target genes, which are involved in cellular growth and proliferation, is not fully understood yet.
In this study, the question how MYC influences factors interacting with the RNA polymerase II ensuring productive transcription of its target genes was addressed using quantitative mass spectrometry. By comparing the interactome of RNA polymerase II under varying MYC levels, several potential factors involved in transcriptional elongation were identified. Furthermore, the question which of those factors interact with MYC was answered by employing quantitative mass spectrometry of MYC itself. Thereby, the direct interaction of MYC with the transcription elongation factor SPT5, a subunit of the DRB-sensitivity inducing factor, was discovered and analyzed in greater detail. SPT5 was shown to be recruited to chromatin by MYC. In addition, the interaction site of MYC on SPT5 was narrowed down to its evolutionary conserved NGN-domain, which is the known binding site for SPT4, the earlier characterized second subunit of the DRB-sensitivity inducing factor. This finding suggests a model in which MYC and SPT4 compete for binding the NGN-domain of SPT5.
Investigations of the SPT5-interacting region on MYC showed binding of SPT5 to MYC’s N-terminus including MYC-boxes 0, I and II.
In order to analyze proteins interacting specifically with the N-terminal region of MYC, a truncated MYC-mutant was used for quantitative mass spectrometric analysis uncovering reduced binding for several proteins including the well-known interactor TRRAP and TRRAP-associated complexes.
Summarized, ...
Laser spectroscopic gas sensing has been applied for decades for several applications
as atmospheric monitoring, industrial combustion gas analysis or fundamental research.
The availability of new laser sources in the mid-infrared opens the spectral fingerprint
range to the technology where multiple molecules possess their fundamental ro-vibrational
absorption features that allow very sensitive detection and accurate discrimination of
the species. The increasing maturity of quantum cascade lasers that cover this highly
interesting spectral range motivated this research to gain fundamental knowledge about
the spectra of hydrocarbon gases in pure composition and in complex mixtures as they
occur in the petro-chemical industry. The long-term target of developing accurate and fast
hydrocarbon gas analyzers, capable of real-time operation while enabling feedback-loops,
would lead to a paradigm change in this industry.
This thesis aims to contribute to a higher accuracy and more comprehensive understanding
of the sensing of hydrocarbon gas mixtures. This includes the acquisition of yet
unavailable high resolution and high accuracy reference spectra of the respective gases,
the investigation of their spectral behavior in mixtures due to collisional broadening of
their transitions and the verification of the feasibility to quantitatively discriminate the
spectra when several overlapping species are simultaneously measured in gas mixtures.
To achieve this knowledge a new laboratory environment was planned and built up to
allow for the supply of the individual gases and their arbitrary mixing. The main element
was the development of a broadly tunable external-cavity quantum cascade laser based
spectrometer to record the required spectra. This also included the development of a new
measurement method to obtain highly resolved and nearly gap-less spectral coverage as
well as a sophisticated signal post-processing that was crucial to achieve the high accuracy
of the measurements. The spectroscopic setup was used for a thorough investigation of
the spectra of the first seven alkanes as of their mixtures. Measurements were realized
that achieved a spectral resolution of 0.001 cm-1 in the range of 6-11 µm while ensuring an
accuracy of 0.001 cm-1 of the spectra and attaining a transmission sensitivity of 2.5 x 10-4
for long-time averaging of the acquired spectra.
These spectral measurements accomplish a quality that compares to state-of-the art
spectral databases and revealed so far undocumented details of several of the investigated
gases that have not been measured with this high resolution before at the chosen measurement
conditions. The results demonstrate the first laser spectroscopic discrimination of a
seven component gas mixture with absolute accuracies below 0.5 vol.% in the mid-infrared
provided that a sufficiently broad spectral range is covered in the measurements. Remaining
challenges for obtaining improved spectral models of the gases and limitations of the
measurement accuracy and technology are discussed.
The fate and behavior of bone marrow mesenchymal stem/stromal cells (BM-MSC) is bidirectionally influenced by their microenvironment, the stem cell niche, where a magnitude of biochemical and physical cues communicate in an extremely orchestrated way. It is known that simplified 2D in vitro systems for BM-MSC culture do not represent their naïve physiological environment. Here, we developed four different 2D cell-based decellularized matrices (dECM) and a 3D decellularized human trabecular-bone scaffold (dBone) to evaluate BM-MSC behavior. The obtained cell-derived matrices provided a reliable tool for cell shape-based analyses of typical features associated with osteogenic differentiation at high-throughput level. On the other hand, exploratory proteomics analysis identified native bone-specific proteins selectively expressed in dBone but not in dECM models. Together with its architectural complexity, the physico-chemical properties of dBone triggered the upregulation of stemness associated genes and niche-related protein expression, proving in vitro conservation of the naïve features of BM-MSC.
Continued reports over the past decades of unknown aerial phenomena (short UAP) have given high relevance to the investigation and research of these. Especially reports by US Navy pilots and official investigations by the US Office of the director of national intelligence have emphasized the value of such efforts. Due to the inherently limited scope of earth based observations, a satellite based instrument for detection of such phenomena may prove especially useful. This paper as such investigates the possible viability of such an instrument on a nano satellite mission.
Purpose
The goal of our study was to conduct an online survey that highlights patterns of practice during total hip arthroplasty (THA).
Methods
The survey was conducted in June and August 2020. Three hundred thirteen members of the German Society for Endoprosthesis participated in the survey.
Results
The anterolateral approach is by far the most popular approach used for primary total hip arthroplasty, followed by the anterior approach during minimally invasive (55% for the anterolateral and 29% for the anterior) and regular surgery (52% for the anterolateral and 20% for the anterior). Two-thirds of the orthopaedic surgeons do not use drainages during THA. Moreover, 80% of the survey participants routinely apply tranexamic acid during surgery. Surgeons who perform minimally invasive surgery for THA use more frequently fast-track-concepts for post-operative rehabilitation. According to the interviewees, the application of fast-track-concepts leads to reduced periods of hospital stay after THA.
Conclusion
Our data demonstrate that patterns of practice during THA in Germany are in line with the evidence provided by current literature. This study can be seen as a stimulus to conduct similar surveys in other countries in order to promote minimally invasive surgery for THA.
In this view point we do not change cosmology after the hot fireball starts (hence agrees well with observation), but the changed start suggested and resulting later implications lead to an even better fit with current observations (voids, supercluster and galaxy formation; matter and no antimatter) than the standard model with big bang and inflation: In an eternal ocean of qubits, a cluster of qubits crystallizes to defined bits. The universe does not jump into existence (“big bang”) but rather you have an eternal ocean of qubits in free super-position of all their quantum states (of any dimension, force field and particle type) as permanent basis. The undefined, boiling vacuum is the real “outside”, once you leave our everyday universe. A set of n Qubits in the ocean are “liquid”, in very undefined state, they have all their m possibilities for quantum states in free superposition. However, under certain conditions the qubits interact, become defined, and freeze out, crystals form and give rise to a defined, real world with all possible time series and world lines. GR holds only within the crystal. In our universe all n**m quantum possibilities are nicely separated and crystallized out to defined bit states: A toy example with 6 qubits each having 2 states illustrates, this is completely sufficient to encode space using 3 bits for x,y and z, 1 bit for particle type and 2 bits for its state. Just by crystallization, space, particles and their properties emerge from the ocean of qubits, and following the arrow of entropy, time emerges, following an arrow of time and expansion from one corner of the toy universe to everywhere else. This perspective provides time as emergent feature considering entropy: crystallization of each world line leads to defined world lines over their whole existence, while entropy ensures direction of time and higher representation of high entropy states considering the whole crystal and all slices of world lines. The crystal perspective is also economic compared to the Everett-type multiverse, each qubit has its m quantum states and n qubits interacting forming a crystal and hence turning into defined bit states has only n**m states and not more states. There is no Everett-type world splitting with every decision but rather individual world trajectories reside in individual world layers of the crystal. Finally, bit-separated crystals come and go in the qubit ocean, selecting for the ability to lay seeds for new crystals. This self-organizing reproduction selects over generations also for life-friendliness. Mathematical treatment introduces quantum action theory as a framework for a general lattice field theory extending quantum chromo dynamics where scalar fields for color interaction and gravity have to be derived from the permeating qubit-interaction field. Vacuum energy should get appropriately low by the binding properties of the qubit crystal. Connections to loop quantum gravity, string theory and emergent gravity are discussed. Standard physics (quantum computing; crystallization, solid state physics) allow validation tests of this perspective and will extend current results.
In this paper we study properties of the Laplace approximation of the posterior distribution arising in nonlinear Bayesian inverse problems. Our work is motivated by Schillings et al. (Numer Math 145:915–971, 2020. https://doi.org/10.1007/s00211-020-01131-1), where it is shown that in such a setting the Laplace approximation error in Hellinger distance converges to zero in the order of the noise level. Here, we prove novel error estimates for a given noise level that also quantify the effect due to the nonlinearity of the forward mapping and the dimension of the problem. In particular, we are interested in settings in which a linear forward mapping is perturbed by a small nonlinear mapping. Our results indicate that in this case, the Laplace approximation error is of the size of the perturbation. The paper provides insight into Bayesian inference in nonlinear inverse problems, where linearization of the forward mapping has suitable approximation properties.
T lymphocytes (T cells) represent one of the major cell populations of the immune system. Named by the place of their development, the thymus, several types can be distinguished as the αβ T cells, the γδ T cells, the mucosa-associated invariant T cells (MAIT), and the natural killer T (NKT) cells. The αβ lineages of CD4+ THelper and the CD8+ T cytotoxic cells with the T cell receptor (TCR) composed of α- and β-chain are major players of the adaptive immune system. In the thymus, CD4+ and CD8+ single positive (SP) αβ cells represent the ultimate result of positive and negative selection of CD4+CD8+ double positive (DP) thymocytes. The DP population derives from the double negative (DN) thymocytes that develop from bone marrow-derived progenitors through different stages (DN1-DN4) that are characterized by CD25 and CD44 surface expression.
NFATc1, a member of the Nuclear Factor of Activated T cells (NFAT) transcription factors family, is critically involved in the differentiation and function of T cells. During thymocyte development, the nuclear expression of NFATc1 reaches the highest level at the DN3 (CD44-CD25+) stage. The hematopoietic cell-specific ablation of NFATc1 activity results in an arrest of thymocyte differentiation at the DN1 (CD44+CD25-) stage. On the other hand, over-expression of a constitutively active version of NFATc1 results in an impaired transition of DN3 cells to the DN4 (CD44-CD25-) stage, suggesting that a certain threshold level of NFATc1 activity is critical at this point.
ChIP-seq and RNA-seq analysis allowed us the identification of NFATc1/A target genes involved in lineage development as the Tcra and Tcrb gene loci. Furthermore, we identified multiple NFATc1-regulated genes that are involved in γδ T cell development. In the mouse models, Rag1Cre-Nfatc1fl/fl and Rag1Cre-E2fl/fl, in which the activity of NFATc1 or inducible NFATc1 in the latter is impaired during the early stages of thymocyte development, we observed increased numbers of γδ T cells. These γδ T cells showed an unusual overexpression of CD4, a lack of CD24 expression, and overexpression of the anti-apoptotic gene Bcl2a1a.
We hypothesize that during the DN stages NFATc1 plays an important role in regulating crucial steps of αβ thymocyte development and when NFATc1 activity is missing this may disturb αβ development resulting in alternative cell fates like γδ T cells.
Purpose
The present study determined the postoperative phenotypes after unrestricted calipered kinematically aligned (KA) total knee arthroplasty (TKA), whether any phenotypes were associated with reoperation, implant revision, and lower outcome scores at 4 years, and whether the proportion of TKAs within each phenotype was comparable to those of the nonarthritic contralateral limb.
Methods
From 1117 consecutive primary TKAs treated by one surgeon with unrestricted calipered KA, an observer identified all patients (N = 198) that otherwise had normal paired femora and tibiae on a long-leg CT scanogram. In both legs, the distal femur–mechanical axis angle (FMA), proximal tibia–mechanical axis angle (TMA), and the hip–knee–ankle angle (HKA) were measured. Each alignment angle was assigned to one of Hirschmann’s five FMA, five TMA, and seven HKA phenotype categories.
Results
Three TKAs (1.5%) underwent reoperation for anterior knee pain or patellofemoral instability in the subgroup of patients with the more valgus phenotypes. There were no implant revisions for component loosening, wear, or tibiofemoral instability. The median Forgotten Joint Score (FJS) was similar between phenotypes. The median Oxford Knee Score (OKS) was similar between the TMA and HKA phenotypes and greatest in the most varus FMA phenotype. The phenotype proportions after calipered KA TKA were comparable to the contralateral leg.
Conclusion
Unrestricted calipered KA’s restoration of the wide range of phenotypes did not result in implant revision or poor FJS and OKS scores at a mean follow-up of 4 years. The few reoperated patients had a more valgus setting of the prosthetic trochlea than recommended for mechanical alignment. Designing a femoral component specifically for KA that restores patellofemoral kinematics with all phenotypes, especially the more valgus ones, is a strategy for reducing reoperation risk.
In this doctoral thesis we cover the performance evaluation of next generation data plane architectures, comprised of complex software as well as programmable hardware components that allow fine granular configuration. In the scope of the thesis we propose mechanisms to monitor the performance of singular components and model key performance indicators of software based packet processing solutions. We present novel approaches towards network abstraction that allow the integration of heterogeneous data plane technologies into a singular network while maintaining total transparency between control and data plane. Finally, we investigate a full, complex system consisting of multiple software-based solutions and perform a detailed performance analysis. We employ simulative approaches to investigate overload control mechanisms that allow efficient operation under adversary conditions. The contributions of this work build the foundation for future research in the areas of network softwarization and network function virtualization.
Background
It is unknown whether technological advancement of stent-retriever devices influences typical observational indicators of safety or effectiveness.
Methods
Observational retrospective study of APERIO® (AP) vs. new generation APERIO® Hybrid (APH) (Acandis®, Pforzheim, Germany) stent-retriever device (01/2019–09/2020) for mechanical thrombectomy (MT) in large vessel occlusion (LVO) stroke. Primary effectiveness endpoint was successful recanalization eTICI (expanded Thrombolysis In Cerebral Ischemia) ≥ 2b67, primary safety endpoint was occurrence of hemorrhagic complications after MT. Secondary outcome measures were time from groin puncture to first pass and successful reperfusion, and the total number of passes needed to achieve the final recanalization result.
Results
A total of 298 patients with LVO stroke who were treated by MT matched the inclusion criteria: 148 patients (49.7%) treated with AP vs. 150 patients (50.3%) treated with new generation APH. Successful recanalization was not statistically different between both groups: 75.7% for AP vs. 79.3% for APH; p = 0.450. Postinterventional hemorrhagic complications and particularly subarachnoid hemorrhage as the entity possibly associated with stent-retriever device type was significantly less frequent in the group treated with the APH: 29.7% for AP and 16.0% for APH; p = 0.005; however, rates of symptomatic hemorrhage with clinical deterioration and in domo mortality were not statistically different. Neither the median number of stent-retriever passages needed to achieve final recanalization, time from groin puncture to first pass, time from groin puncture to final recanalization nor the number of cases in which successful recanalization could only be achieved by using a different stent-retriever as bail-out device differed between both groups.
Conclusion
In the specific example of the APERIO® stent-retriever device, we observed that further technological developments of the new generation device were not associated with disadvantages with respect to typical observational indicators of safety or effectiveness.
Central European forests experience a substantial loss of open-forest organisms due to forest management and increasing nitrogen deposition. However, management strategies, removing different levels of nitrogen, have been rarely evaluated simultaneously.
We tested the additive effects of coppicing and topsoil removal on communities of dung-inhabiting beetles compared to closed forests. We sampled 57 021 beetles, using baited pitfall traps exposed on 27 plots.
Experimental treatments resulted in significantly different communities by promoting open-habitat species. While alpha diversity did not differ among treatments, gamma diversity of Geotrupidae and Scarabaeidae and beta diversity of Staphylinidae were higher in coppice than in forest. Functional diversity of rove beetles was higher in both, coppice and topsoil-removed plots, compared to control plots. This was likely driven by higher habitat heterogeneity in established forest openings. Five dung beetle species and four rove beetle species benefitted from coppicing, one red-listed dung beetle and two rove beetle species benefitted from topsoil removal.
Our results demonstrate that dung-inhabiting beetles related to open forest patches can be promoted by both, coppicing and additional topsoil removal. A mosaic of coppice and bare-soil-rich patches can hence promote landscape-level gamma diversity of dung and rove beetles within forests.
Background and Objectives
Immunoadsorptions (IA) are used to remove autoantibodies from the plasma in autoimmune disorders. In this study, we evaluated the effects of a single-use, recombinant staphylococcal protein A-based immunoadsorber on blood composition of the patient.
Materials and Methods
In a cohort of patients with myasthenia gravis or stiff-person syndrome, essential parameters of blood cell count, coagulation, clinical chemistry or plasma proteins and immunoglobulins (Ig) were measured before and after IA (n = 11).
Results
In average, IA reduced the levels of total IgG, IgG1, IgG2 and IgG4 by approximately 60%, the acetylcholine receptor autoantibody levels by more than 70%. IgG3, IgA or IgM were diminished to a lower extent. In contrast to fibrinogen or other coagulation factors, the column markedly removed vitamin K-dependent coagulation factors II, VII, IX and X by approximately 40%–70%. Accordingly, international normalized ratio and activated partial thromboplastin time were increased after IA by 59.1% and 32.7%, respectively. Coagulation tests almost returned to baseline values within 24 h. Blood cell count, electrolytes, total protein or albumin were not essentially affected. No clinical events occurred.
Conclusion
The single-use, multiple-pass protein A adsorber column is highly efficient to remove IgG1, IgG2 and IgG4 or specific acetylcholine receptor autoantibodies from the plasma. Coagulation parameters should be monitored, since the column has the capacity to largely reduce vitamin K-dependent factors.
Patterns of resource use by animals can clarify how ecological communities have assembled in the past, how they currently function and how they are likely to respond to future perturbations. Bumble bees (Hymentoptera: Bombus spp.) and their floral hosts provide a diverse yet tractable system in which to explore resource selection in the context of plant–pollinator networks. Under conditions of resource limitation, the ability of bumble bees species to coexist should depend on dietary niche overlap. In this study, we report patterns and dynamics of floral morphotype preferences in a mountain bumble bee community based on ~13 000 observations of bumble bee floral visits recorded along a 1400 m elevation gradient. We found that bumble bees are highly selective generalists, rarely visiting floral morphotypes at the rates predicted by their relative abundances. Preferences also differed markedly across bumble bee species, and these differences were well-explained by variation in bumble bee tongue length, generating patterns of preference similarity that should be expected to predict competition under conditions of resource limitation. Within species, though, morphotype preferences varied by elevation and season, possibly representing adaptive flexibility in response to the high elevational and seasonal turnover of mountain floral communities. Patterns of resource partitioning among bumble bee communities may determine which species can coexist under the altered distributions of bumble bees and their floral hosts caused by climate and land use change.