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Sonstige beteiligte Institutionen
- IZKF Nachwuchsgruppe Geweberegeneration für muskuloskelettale Erkrankungen (5)
- Bernhard-Heine-Centrum für Bewegungsforschung (4)
- Zentraleinheit Klinische Massenspektrometrie (3)
- Fraunhofer-Institut für Silicatforschung ISC (2)
- Helmholtz Institute for RNA-based Infection Research (HIRI) (2)
- Krankenhaushygiene und Antimicrobial Stewardship (Universitätsklinikum) (2)
- Wilhelm-Conrad-Röntgen-Forschungszentrum für komplexe Materialsysteme (2)
- ALPARC - The Alpine Network of Protected Areas (1)
- Albert-Ludwigs-Universität Freiburg (1)
- Arizona State University, Tempe, Arizona, USA (1)
Objective
At high altitude (HA), acute mountain sickness (AMS) is accompanied by neurologic and upper gastrointestinal symptoms (UGS). The primary aim of this study was to test the hypothesis that delayed gastric emptying (GE), assessed by \(^{13}\)C-octanoate breath testing (OBT), causes UGS in AMS. The secondary aim was to assess post-gastric mechanisms of OBT, which could confound results under these conditions, by determination of intermediary metabolites, gastrointestinal peptides, and basal metabolic rate.
Methods
A prospective trial was performed in 25 healthy participants (15 male) at 4559 m (HA) and at 490 m (Zurich). GE was assessed by OBT (428 kcal solid meal) and UGS by visual analogue scales (VAS). Blood sampling of metabolites (glucose, free fatty acids (FFA), triglycerides (TG), beta-hydroxyl butyrate (BHB), L-lactate) and gastrointestinal peptides (insulin, amylin, PYY, etc.) was performed as well as blood gas analysis and spirometry. Statistical analysis: variance analyses, bivariate correlation, and multilinear regression analysis.
Results
After 24 h under hypoxic conditions at HA, participants developed AMS (p < 0.001). \(^{13}\)CO\(_{2}\) exhalation kinetics increased (p < 0.05) resulting in reduced estimates of gastric half-emptying times (p < 0.01). However, median resting respiratory quotients and plasma profiles of TG indicated that augmented beta-oxidation was the main predictor of accelerated \(^{13}\)CO\(_{2}\)-generation under these conditions.
Conclusion
Quantification of \(^{13}\)C-octanoate oxidation by a breath test is sensitive to variation in metabolic (liver) function under hypoxic conditions. \(^{13}\)C-breath testing using short-chain fatty acids is not reliable for measurement of gastric function at HA and should be considered critically in other severe hypoxic conditions, like sepsis or chronic lung disease.
Background
Student performance is a mirror of teaching quality. The pre-/post-test design allows a pragmatic approach to comparing the effects of interventions. However, the calculation of current knowledge gain scores introduces varying degrees of distortion. Here we present a new metric employing a linear weighting coefficient to reduce skewness on outcome interpretation.
Methods
We compared and contrasted a number of common scores (raw and relative gain scores) with our new method on two datasets, one simulated and the other empirical from a previous intervention study (n = 180) employing a pre-/post-test design.
Results
The outcomes of the common scores were clearly different, demonstrating a significant dependency on pre-test scores. Only the new metric revealed a linear relationship to the knowledge baseline, was less skewed on the upper or lower extremes, and proved well suited to allow the calculation of negative learning gains. Employing the empirical dataset, the new method also confirmed the interaction effect of teaching formats with specific subgroups of learner characteristics.
Conclusion
This work introduces a new weighted metric enabling meaningful comparisons between interventions based on a linear transformation. This method will form the basis to intertwine the calculation of test performance closely with the outcome of learning as an important factor reflecting teaching quality and efficacy. Its regular use can improve the transparency of teaching activities and outcomes, contribute to forming rounded judgements of students' acquisition of knowledge and skills and enable valuable feedforward to develop and enhance curricular concepts.
This paper shows that labor demand plays an important role in the labor market reactions to a pension reform in Germany. Employers with a high share of older worker inflow compared with their younger worker inflow, employers in sectors with few investments in research and development, and employers in sectors with a high share of collective bargaining agreements allow their employees to stay employed longer after the reform. These employers offer their older employees partial retirement instead of forcing them into unemployment before early retirement because the older employees incur low substitution costs and high dismissal costs.
Gifted underachievers perform worse in school than would be expected based on their high intelligence. Possible causes for underachievement are low motivational dispositions (need for cognition) and metacognitive competences. This study tested the interplay of these variables longitudinally with gifted and non-gifted students from Germany (N = 341, 137 females) in Grades 6 (M = 12.02 years at t1) and 8 (M = 14.07 years). Declarative and procedural metacognitive competences were assessed in the domain of reading comprehension. Path analyses showed incremental effects of procedural metacognition over and above intelligence on the development of school achievement in gifted students (β = .139). Moreover, declarative metacognition and need for cognition interactively predicted procedural metacognition (β = .169), which mediated their effect on school achievement.
Quantifying tree defoliation by insects over large areas is a major challenge in forest management, but it is essential in ecosystem assessments of disturbance and resistance against herbivory. However, the trajectory from leaf-flush to insect defoliation to refoliation in broadleaf trees is highly variable. Its tracking requires high temporal- and spatial-resolution data, particularly in fragmented forests.
In a unique replicated field experiment manipulating gypsy moth Lymantria dispar densities in mixed-oak forests, we examined the utility of publicly accessible satellite-borne radar (Sentinel-1) to track the fine-scale temporal trajectory of defoliation. The ratio of backscatter intensity between two polarizations from radar data of the growing season constituted a canopy development index (CDI) and a normalized CDI (NCDI), which were validated by optical (Sentinel-2) and terrestrial laser scanning (TLS) data as well by intensive caterpillar sampling from canopy fogging.
The CDI and NCDI strongly correlated with optical and TLS data (Spearman's ρ = 0.79 and 0.84, respectively). The ΔNCDII\(_{Defoliation(A−C)}\) significantly explained caterpillar abundance (R\(^{2}\) = 0.52). The NCDI at critical timesteps and ΔNCDI related to defoliation and refoliation well discriminated between heavily and lightly defoliated forests.
We demonstrate that the high spatial and temporal resolution and the cloud independence of Sentinel-1 radar potentially enable spatially unrestricted measurements of the highly dynamic canopy herbivory. This can help monitor insect pests, improve the prediction of outbreaks and facilitate the monitoring of forest disturbance, one of the high priority Essential Biodiversity Variables, in the near future.
Within the Spessart low mountain range in central Germany, numerous castle ruins of the 13th century ce exist. Their construction and destruction were often determined by the struggle for political and economic supremacy in the region and for control over the Spessart's natural resources. Wahlmich Castle is located in a relatively uncommon strategic and geomorphological position, characterized by a fairly remote position and atypical rough relief. In order to reconstruct the local relief development and possible human impact, a multi-method approach was applied combining two-dimensional geoelectrical measurements, geomorphological mapping and stratigraphic-sedimentological investigations. This provides new insights into the influence of landscape characteristics on choices of castle locations.
The combined geoelectrical, geomorphological and stratigraphic-sedimentological data show that the rough relief is of natural origin and influenced by regional faulting, which triggered sliding and slumping as well as weathering and dissection of the surface deposits. The rough relief and the lithology permitted intensive land use and building activities. However, the location of the castle offered access to and possibly control over important medieval traffic routes and also represented certain ownership claims in the Aschaff River valley.
The economic situation combined with rivalry between different elites led to the castle being built in a geomorphological challenging and strategically less valuable location. Focusing on castles located in rare and challenging geomorphological positions may therefore lead to a better understanding of castle siting in the future.
The capacity to develop immunological memory is a hallmark of the adaptive immune system. To investigate the role of Samd3 for cellular immune responses and memory development, we generated a conditional knock-out mouse including a fluorescent reporter and a huDTR cassette for conditional depletion of Samd3-expressing cells. Samd3 expression was observed in NK cells and CD8 T cells, which are known for their specific function against intracellular pathogens like viruses. After acute viral infections, Samd3 expression was enriched within memory precursor cells and the frequency of Samd3-expressing cells increased during the progression into the memory phase. Similarly, during chronic viral infections, Samd3 expression was predominantly detected within precursors of exhausted CD8 T cells that are critical for viral control. At the functional level however, Samd3-deficient CD8 T cells were not compromised in the context of acute infection with Vaccinia virus or chronic infection with Lymphocytic choriomeningitis virus. Taken together, we describe a novel multifunctional mouse model to study the role of Samd3 and Samd3-expressing cells. We found that Samd3 is specifically expressed in NK cells, memory CD8 T cells, and precursor exhausted T cells during viral infections, while the molecular function of this enigmatic gene remains further unresolved.
High programmed cell death 1 ligand 1 (PD-L1) protein expression and copy number alterations (CNAs) of the corresponding genomic locus 9p24.1 in Hodgkin- and Reed–Sternberg cells (HRSC) have been shown to be associated with favourable response to anti-PD-1 checkpoint inhibition in relapsed/refractory (r/r) classical Hodgkin lymphoma (cHL). In the present study, we investigated baseline 9p24.1 status as well as PD-L1 and major histocompatibility complex (MHC) class I and II protein expression in 82 biopsies from patients with early stage unfavourable cHL treated with anti-PD-1-based first-line treatment in the German Hodgkin Study Group (GHSG) NIVAHL trial (ClinicalTrials.gov Identifier: NCT03004833). All evaluated specimens showed 9p24.1 CNA in HRSC to some extent, but with high intratumoral heterogeneity and an overall smaller range of alterations than reported in advanced-stage or r/r cHL. All but two cases (97%) showed PD-L1 expression by the tumour cells in variable amounts. While MHC-I was rarely expressed in >50% of HRSC, MHC-II expression in >50% of HRSC was found more frequently. No obvious impact of 9p24.1 CNA or PD-L1 and MHC-I/II expression on early response to the highly effective anti-PD-1-based NIVAHL first-line treatment was observed. Further studies evaluating an expanded panel of potential biomarkers are needed to optimally stratify anti-PD-1 first-line cHL treatment.
The US National Research Council (NRC) report "Toxicity Testing in the 21st Century: A Vision and a strategy (Tox21)", published in 2007, calls for a complete paradigm shift in tox-icity testing. A central aspect of the proposed strategy includes the transition from apical end-points in in vivo studies to more mechanistically based in vitro tests. To support and facilitate the transition and paradigm shift in toxicity testing, the Adverse Outcome Pathway (AOP) concept is widely recognized as a pragmatic tool. As case studies, the AOP concept was ap-plied in this work to develop AOPs for proximal tubule injuries initiated by Receptor-mediated endocytosis and lysosomal overload and Inhibition of mtDNA polymerase-. These AOPs were used as a mechanistic basis for the development of in vitro assays for each key event (KE). To experimentally support the developed in vitro assays, proximal tubule cells from rat (NRK-52E) and human (RPTEC/TERT1) were treated with model compounds. To measure the dis-turbance of lysosomal function in the AOP – Receptor-mediated endocytosis and lysosomal overload, polymyxin antibiotics (polymyxin B, colistin, polymyxin B nonapeptide) were used as model compounds. Altered expression of lysosomal associated membrane protein 1/2 (LAMP-1/2) (KE1) and cathepsin D release from lysosomes (KE2) were determined by im-munofluorescence, while cytotoxicity (KE3) was measured using the CellTiter-Glo® cell via-bility assay. Importantly, significant differences in polymyxin uptake and susceptibility be-tween cell lines were observed, underlining the importance of in vitro biokinetics to determine an appropriate in vitro point of departure (PoD) for risk assessment. Compared to the in vivo situation, distinct expression of relevant transporters such as megalin and cubilin on mRNA and protein level in the used cell lines (RPTEC/TERT1 and NRK-52E) could not be con-firmed, making integration of quantitative in vitro to in vivo extrapolations (QIVIVE) neces-sary. Integration of QIVIVE by project partners of the University of Utrecht showed an im-provement in the modelled biokinetic data for polymyxin B. To assess the first key event, (KE1) Depletion of mitochondrial DNA, in the AOP – Inhibition of mtDNA polymerase-, a RT-qPCR method was used to determine the mtDNA copy number in cells treated with mod-el compounds (adefovir, cidofovir, tenofovir, adefovir dipivoxil, tenofovir disoproxil fumarate). Mitochondrial toxicity (KE2) was measured by project partners using the high-content imaging technique and MitoTracker® whereas cytotoxicity (KE3) was determined by CellTiter-Glo® cell viability assay. In contrast to the mechanistic hypothesis underlying the AOP – Inhibition of mtDNA polymerase-, treatment with model compounds for 24 h resulted in an increase rather than a decrease in mtDNA copy number (KE1). Only minor effects on mitochondrial toxicity (KE2) and cytotoxicity (KE3) were observed. Treatment of RPT-EC/TERT1 cells for 14 days showed only a slight decrease in mtDNA copy number after treatment with adefovir dipivoxil and tenofovir disoproxil fumarate, underscoring some of the limitations of short-term in vitro systems. To obtain a first estimation for risk assessment based on in vitro data, potential points of departure (PoD) for each KE were calculated from the obtained in vitro data. The most common PoDs were calculated such as the effect concentra-tion at which 10 % or 20_% effect was measured (EC10, EC20), the highest no observed effect concentration (NOEC), the lowest observed effect concentration (LOEC), the benchmark 10 % (lower / upper) concentrations (BMC10, BMCL10, BMCU10) and a modelled non-toxic con-centration (NtC). These PoDs were then compared with serum and tissue concentrations de-termined from in vivo studies after treatment with therapeutic / supratherapeutic doses of the respective drugs in order to obtain a first estimate of risk based on in vitro data. In addition, AOPs were used to test whether the quantitative key event relationships between key events allow prediction of downstream effects and effects on the adverse outcome (AO) based on measurements of an early key event. Predictions of cytotoxicity from the mathematical rela-tionships showed good concordance with measured cytotoxicity after treatment with colistin and polymyxin b nonapeptide. The work also revealed uncertainties and limitations of the ap-plied strategy, which have a significant impact on the prediction and on a risk assessment based on in vitro results.
Paclitaxel (PTX) is one of the leading drugs against breast and ovarian cancer. Due to its low solubility, treatment of the patients with this drug requires a very well-suited combination with a soluble pharmaceutical excipient to increase the bioavailability and reduce the strong side ef-fects. One efficient way to achieve this in the future could be the incorporation of PTX into pol-ymeric micelles composed of poly(2-oxazoline) based triblock copolymers (POL) which ena-bles PTX loadings of up to 50 wt.%. However, structural information at an atomic level and thus the knowledge of interaction sites within these promising but complex PTX-POL formula-tions were not yet available. Such results could support the future development of improved excipients for PTX and suitable excipients for other pharmaceutical drugs. Therefore, a solid-state MAS NMR investigation of these amorphous formulations with different POL-PTX com-positions was performed in this thesis as this gives insights of the local structure at an atomic level in its solid state. NMR in solution showed very broad 13C signals of PTX for this system due to the reduced mobility of the incorporated drug which exclude this as an analytical meth-od.
In a first study, crystalline PTX was structurally characterized by solid-state NMR as no com-plete 13C spectrum assignment and no 1H NMR data existed for the solid state. In addition, the asymmetric unit of the PTX crystal structure consists of two molecules (Z'=2) that can only be investigated in its solid state. As crystalline PTX in total has about 100 different 13C and 1H chemical shifts with very small differences due to Z’=2, and furthermore, its unit cell consisting of more than 900 atoms, accompanying GIPAW (CASTEP) calculations were required for NMR signal assignments. These calculations were performed using the first three available purely hydrous and anhydrous PTX structures, which were determined by XRD and published by Vel-la-Zarb et al. in 2013. Within this thesis, is was discovered that two investigated batches of commercially available PTX from the same supplier both contained an identical and so far un-known PTX phase that was elucidated by PXRD as well as solid-state NMR data. One of the two batches consists of an additional phase that was shown to be very similar to a known hy-drated phase published in 2013.[1] By heating the batch with the mixture of the two phases un-der vacuum, it is transformed completely to the new dry phase occurring in both PTX batches. Since the drying conditions to obtain anhydrous PTX in-situ on the PXRD setup described by Vella-Zarb et. al.[1] were much softer than ours, we identify our dry phase as a relaxed version of their published anhydrate structure. The PXRD data of the new anhydrate phase was trans-ferred into a new structural model, which currently undergoes geometry optimization. Based on solid-state NMR data at MAS spinning frequencies up to 100 kHz, a 13C and a partial 1H signal assignment for the new anhydrous structure were achieved. These results provided sufficient structural information for further investigations of the micellar POL-PTX system.
In a second study, the applicability and benefit of two-dimensional solid-state 14N-1H HMQC MAS NMR spectra for the characterization of amorphous POL-PTX formulations was investi-gated. The mentioned technique has never been applied to a system of similar complexity be-fore and was chosen because around 84% of the small-molecule drugs contain at least one nitrogen atom. In addition, the number of nitrogen atoms in both POL and PTX is much smaller than the number of carbons or hydrogens, which significantly reduces the spectral complexity. 14N has a natural abundance of 99.6% but leads to quadrupolar broadening due to its nuclear spin quantum number I = 1. While this is usually undesirable due to broadening in the resulting 1D 14N NMR spectra, this effect is explicitly used in the 2D 14N-1H HMQC MAS experiment. The indirect 14N measurement can avoid the broadening while maintaining the advantage of the high natural abundance and making use of the much more dispersed signals due to the additional quadrupolar shifts as compared to 15N.
This measurement method could be successfully applied to the complex amorphous POL-PTX mixtures. With increasing PTX loading of the formulations, additional peaks arise as spatial proximities of the amide nitrogens of POL to NH or OH groups of PTX. In addition, the 14N quadrupolar shift of these amide nitrogens decreases with increasing PTX content indicating a more symmetric nitrogen environment. The latter can be explained by a transformation of the trigonal planar coordination of the tertiary amide nitrogen atoms in pure POL towards a more tetrahedral environment upon PTX loading induced by the formation of hydrogen bonds with NH/OH groups of PTX.
In the third and last project, the results of the two abovementioned studies were used and ex-tended by solid state 13C and two-dimensional 1H-13C as well as 1H-1H MAS NMR data with the aim to derive a structural model of the POL-PTX formulations at an atomic level. The knowledge of the NMR signal assignments for crystalline PTX was transferred to amorphous PTX (present in the micelles of the formulations). The 13C solid-state NMR signals were evalu-ated concerning changes in chemical shifts and full widths of half maximum (FWHM) for the different PTX loadings. In this way, the required information about possible interaction sites at an atomic level becomes available. Due to the complexity of these systems, such proximities often cannot be assigned to special atoms, but more to groups of atoms, as the individual de-velopments of line widths and line shifts are mutually dependent. An advantageous aspect for this analysis was that pure POL already forms unloaded micelles. The evaluation of the data showed that the terminal phenyl groups of PTX seem to be most involved in the interaction by the establishment of the micelle for lowest drug loading and that they are likely to react to the change in the amount of PTX molecules as well. For the incorporation of PTX in the micelles, the following model could be obtained: For lowest drug loading, PTX is mainly located in the inner part of the micelles. Upon further increasing of the loading, it progressively extends to-ward the micellar shell. This could be well shown by the increasing interactions of the hydro-phobic butyl chain of POL and PTX, proceeding in the direction of the polymer backbone with rising drug load. Furthermore, due to the size of PTX and the hydrodynamic radius of the mi-celles, even at the lowest loading, the PTX molecules partially reach the core-shell interface of the micelle. Upon increasing the drug loading, the surface coverage with PTX clusters increas-es based on the obtained model approach. The latter result is supported by DLS and SANS data of this system. The abovementioned results of the 14N-1H HMQC MAS investigation of the POL-PTX formulations support the outlined model.
As an outlook, the currently running geometry optimization and subsequently scheduled calcu-lation of the chemical shieldings of the newly obtained anhydrous PTX crystal structure can further improve the solid-state NMR characterization through determination of further spatial proximities among protons using the existing 2D 1H(DQ)-1H(SQ) solid-state MAS NMR spec-trum at 100 kHz rotor spinning frequency. The 2D 14N-1H HMQC MAS NMR experiments were shown to have great potential as a technique for the analysis of other disordered and amor-phous drug delivery systems as well. The results of this thesis should be subsequently applied to other micellar systems with varying pharmaceutical excipients or active ingredients with the goal of systematically achieving higher drug loadings (e.g., for the investigated PTX, the similar drug docetaxel or even different natural products). Additionally, it is planned to transfer the knowledge to another complex polymer system containing poly(amino acids) which offers hy-drogen bonding donor sites for additional intermolecular interactions. Currently, the POL-PTX system is investigated by further SANS studies that may provide another puzzle piece to the model as complementary measurement method in the future. In addition, the use of MD simu-lations might be considered in the future. This would allow a computerized linking of the differ-ent pieces of information with the aim to determine the most likely model.
Spin- and \(k\)-resolved hard X-ray photoelectron spectroscopy (HAXPES) is a powerful tool to probe bulk electronic properties of complex metal oxides. Due to the low efficiency of common spin detectors of about \(10^{-4}\), such experiments have been rarely performed within the hard X-ray regime since the notoriously low photoionization cross sections further lower the performance tremendously. This thesis is about a new type of spin detector, which employs an imaging spin-filter with multichannel electron recording. This increases the efficiency by a factor of \(10^4\) and makes spin- and \(k\)-resolved photoemission at high excitation energies possible. Two different technical approaches were pursued in this thesis: One using a hemispherical deflection analyzer (HDA) and a separate external spin detector chamber, the other one resorting to a momentum- or \(k\)-space microscope with time-of-flight (TOF) energy recording and an integrated spin-filter crystal. The latter exhibits significantly higher count rates and - since it was designed for this purpose from scratch - the integrated spin-filter option found out to be more viable than the subsequent upgrade of an existing setup with an HDA. This instrumental development is followed by the investigation of the complex metal oxides (CMOs) KTaO\(_3\) by angle-resolved HAXPES (HARPES) and Fe\(_3\)O\(_4\) by spin-resolved HAXPES (spin-HAXPES), respectively.
KTaO\(_3\) (KTO) is a band insulator with a valence-electron configuration of Ta 5\(d^0\). By angle- and spin-integrated HAXPES it is shown that at the buried interface of LaAlO\(_3\)/KTO - by the generation of oxygen vacancies and hence effective electron doping - a conducting electron system forms in KTO. Further investigations using the momentum-resolution of the \(k\)-space TOF microscope show that these states are confined to the surface in KTO and intensity is only obtained from the center or the Gamma-point of each Brillouin zone (BZ). These BZs are furthermore square-like arranged reflecting the three-dimensional cubic crystal structure of KTO. However, from a comparison to calculations it is found that the band structure deviates from that of electron-doped bulk KTaO\(_3\) due to the confinement to the interface.
There is broad consensus that Fe\(_3\)O\(_4\) is a promising material for spintronics applications due to its high degree of spin polarization at the Fermi level. However, previous attempts to measure the spin polarization by spin-resolved photoemission spectroscopy have been hampered by the use of low photon energies resulting in high surface sensitivity. The surfaces of magnetite, though, tend to reconstruct due to their polar nature, and thus their magnetic and electronic properties may strongly deviate from each other and from the bulk, dependent on their orientation and specific preparation. In this work, the intrinsic bulk spin polarization of magnetite at the Fermi level (\(E_F\)) by spin-resolved photoelectron spectroscopy, is determined by spin-HAXPES on (111)-oriented thin films, epitaxially grown on ZnO(0001) to be \(P(E_F) = -80^{+10}_{-20}\) %.
Bacterial small RNAs (sRNAs) are widespread post-transcriptional regulators that control bacterial stress responses and virulence. Nevertheless, little is known about how they arise and evolve. Homologs can be difficult to identify beyond the strain level using sequence-based approaches, and similar functionalities can arise by convergent evolution. Here, we found that the virulence-associated CJnc190 sRNA of the foodborne pathogen Campylobacter jejuni resembles the RepG sRNA from the gastric pathogen Helicobacter pylori. However, while both sRNAs bind G-rich sites in their target mRNAs using a C/U-rich loop, they largely differ in their biogenesis. RepG is transcribed from a stand-alone gene and does not require processing, whereas CJnc190 is transcribed from two promoters as precursors that are processed by RNase III and also has a cis-encoded antagonist, CJnc180. By comparing CJnc190 homologs in diverse Campylobacter species, we show that RNase III-dependent processing of CJnc190 appears to be a conserved feature even outside of C. jejuni. We also demonstrate the CJnc180 antisense partner is expressed in C. coli, yet here might be derived from the 3’UTR (untranslated region) of an upstream flagella-related gene. Our analysis of G-tract targeting sRNAs in Epsilonproteobacteria demonstrates that similar sRNAs can have markedly different biogenesis pathways.
Comparative genomics provides structural and functional insights into Bacteroides RNA biology
(2022)
Bacteria employ noncoding RNA molecules for a wide range of biological processes, including scaffolding large molecular complexes, catalyzing chemical reactions, defending against phages, and controlling gene expression. Secondary structures, binding partners, and molecular mechanisms have been determined for numerous small noncoding RNAs (sRNAs) in model aerobic bacteria. However, technical hurdles have largely prevented analogous analyses in the anaerobic gut microbiota. While experimental techniques are being developed to investigate the sRNAs of gut commensals, computational tools and comparative genomics can provide immediate functional insight. Here, using Bacteroides thetaiotaomicron as a representative microbiota member, we illustrate how comparative genomics improves our understanding of RNA biology in an understudied gut bacterium. We investigate putative RNA-binding proteins and predict a Bacteroides cold-shock protein homolog to have an RNA-related function. We apply an in silico protocol incorporating both sequence and structural analysis to determine the consensus structures and conservation of nine Bacteroides noncoding RNA families. Using structure probing, we validate and refine these predictions and deposit them in the Rfam database. Through synteny analyses, we illustrate how genomic coconservation can serve as a predictor of sRNA function. Altogether, this work showcases the power of RNA informatics for investigating the RNA biology of anaerobic microbiota members.
In this thesis, I study entanglement in quantum field theory, using methods from operator algebra theory. More precisely, the thesis covers original research on the entanglement properties of the free fermionic field. After giving a pedagogical introduction to algebraic methods in quantum field theory, as well as the modular theory of Tomita-Takesaki and its relation to entanglement, I present a coherent framework that allows to solve Tomita-Takesaki theory for free fermionic fields in any number of dimensions. Subsequently, I use the derived machinery on the free massless fermion in two dimensions, where the formulae can be evaluated analytically. In particular, this entails the derivation of the resolvent of restrictions of the propagator, by means of solving singular integral equations. In this way, I derive the modular flow, modular Hamiltonian, modular correlation function, R\'enyi entanglement entropy, von-Neumann entanglement entropy, relative entanglement entropy, and mutual information for multi-component regions. All of this is done for the vacuum and thermal states, both on the infinite line and the circle with (anti-)periodic boundary conditions. Some of these results confirm previous results from the literature, such as the modular Hamiltonian and entanglement entropy in the vacuum state. The non-universal solutions for modular flow, modular correlation function, and R\'enyi entropy, however are new, in particular at finite temperature on the circle. Additionally, I show how boundaries of spacetime affect entanglement, as well as how one can define relative (entanglement) entropy and mutual information in theories with superselection rules. The findings regarding modular flow in multi-component regions can be summarised as follows: In the non-degenerate vacuum state, modular flow is multi-local, in the sense that it mixes the field operators along multiple trajectories, with one trajectory per component. This was already known from previous literature but is presented here in a more explicit form. In particular, I present the exact solution for the dynamics of the mixing process. What was not previously known at all, is that the modular flow of the thermal state on the circle is infinitely multi-local even for a connected region, in the sense that it mixes the field along an infinite, discretely distributed set, of trajectories. In the limit of high temperatures, all trajectories but the local one are pushed towards the boundary of the region, where their amplitude is damped exponentially, leaving only the local result. At low temperatures, on the other hand, these trajectories distribute densely in the region to either---for anti-periodic boundary conditions---cancel, or---for periodic boundary conditions---recover the non-local contribution due to the degenerate vacuum state. Proceeding to spacetimes with boundaries, I show explicitly how the presence of a boundary implies entanglement between the two components of the Dirac spinor. By computing the mutual information between the components inside a connected region, I show quantitatively that this entanglement decreases as an inverse square law at large distances from the boundary. In addition, full conformal symmetry (which is explicitly broken due to the presence of a boundary) is recovered from the exact solution for modular flow, far away from the boundary. As far as I know, all of these results are new, although related results were published by another group during the final stage of this thesis. Finally, regarding relative entanglement entropy in theories with superselection sectors, I introduce charge and flux resolved relative entropies, which are novel measures for the distinguishability of states, incorporating a charge operator, central to the algebra of observables. While charge resolved relative entropy has the interpretation of being a ``distinguishability per charge sector'', I argue that it is physically meaningless without placing a cutoff, due to infinite short-distance entanglement. Flux resolved relative entropy, on the other hand, overcomes this problem by inserting an Aharonov-Bohm flux and thus passing to a variant of the grand canonical ensemble. It takes a well defined value, even without putting a cutoff, and I compute its value between various states of the free massless fermion on the line, the charge operator being the total fermion number.
One consequence of the recent coronavirus pandemic is increased demand and use of online services around the globe. At the same time, performance requirements for modern technologies are becoming more stringent as users become accustomed to higher standards. These increased performance and availability requirements, coupled with the unpredictable usage growth, are driving an increasing proportion of applications to run on public cloud platforms as they promise better scalability and reliability.
With data centers already responsible for about one percent of the world's power consumption, optimizing resource usage is of paramount importance. Simultaneously, meeting the increasing and changing resource and performance requirements is only possible by optimizing resource management without introducing additional overhead. This requires the research and development of new modeling approaches to understand the behavior of running applications with minimal information.
However, the emergence of modern software paradigms makes it increasingly difficult to derive such models and renders previous performance modeling techniques infeasible. Modern cloud applications are often deployed as a collection of fine-grained and interconnected components called microservices. Microservice architectures offer massive benefits but also have broad implications for the performance characteristics of the respective systems. In addition, the microservices paradigm is typically paired with a DevOps culture, resulting in frequent application and deployment changes. Such applications are often referred to as cloud-native applications. In summary, the increasing use of ever-changing cloud-hosted microservice applications introduces a number of unique challenges for modeling the performance of modern applications. These include the amount, type, and structure of monitoring data, frequent behavioral changes, or infrastructure variabilities. This violates common assumptions of the state of the art and opens a research gap for our work.
In this thesis, we present five techniques for automated learning of performance models for cloud-native software systems. We achieve this by combining machine learning with traditional performance modeling techniques. Unlike previous work, our focus is on cloud-hosted and continuously evolving microservice architectures, so-called cloud-native applications. Therefore, our contributions aim to solve the above challenges to deliver automated performance models with minimal computational overhead and no manual intervention. Depending on the cloud computing model, privacy agreements, or monitoring capabilities of each platform, we identify different scenarios where performance modeling, prediction, and optimization techniques can provide great benefits. Specifically, the contributions of this thesis are as follows:
Monitorless: Application-agnostic prediction of performance degradations.
To manage application performance with only platform-level monitoring, we propose Monitorless, the first truly application-independent approach to detecting performance degradation. We use machine learning to bridge the gap between platform-level monitoring and application-specific measurements, eliminating the need for application-level monitoring. Monitorless creates a single and holistic resource saturation model that can be used for heterogeneous and untrained applications. Results show that Monitorless infers resource-based performance degradation with 97% accuracy. Moreover, it can achieve similar performance to typical autoscaling solutions, despite using less monitoring information.
SuanMing: Predicting performance degradation using tracing.
We introduce SuanMing to mitigate performance issues before they impact the user experience. This contribution is applied in scenarios where tracing tools enable application-level monitoring. SuanMing predicts explainable causes of expected performance degradations and prevents performance degradations before they occur. Evaluation results show that SuanMing can predict and pinpoint future performance degradations with an accuracy of over 90%.
SARDE: Continuous and autonomous estimation of resource demands.
We present SARDE to learn application models for highly variable application deployments. This contribution focuses on the continuous estimation of application resource demands, a key parameter of performance models. SARDE represents an autonomous ensemble estimation technique. It dynamically and continuously optimizes, selects, and executes an ensemble of approaches to estimate resource demands in response to changes in the application or its environment. Through continuous online adaptation, SARDE efficiently achieves an average resource demand estimation error of 15.96% in our evaluation.
DepIC: Learning parametric dependencies from monitoring data.
DepIC utilizes feature selection techniques in combination with an ensemble regression approach to automatically identify and characterize parametric dependencies. Although parametric dependencies can massively improve the accuracy of performance models, DepIC is the first approach to automatically learn such parametric dependencies from passive monitoring data streams. Our evaluation shows that DepIC achieves 91.7% precision in identifying dependencies and reduces the characterization prediction error by 30% compared to the best individual approach.
Baloo: Modeling the configuration space of databases.
To study the impact of different configurations within distributed DBMSs, we introduce Baloo. Our last contribution models the configuration space of databases considering measurement variabilities in the cloud. More specifically, Baloo dynamically estimates the required benchmarking measurements and automatically builds a configuration space model of a given DBMS. Our evaluation of Baloo on a dataset consisting of 900 configuration points shows that the framework achieves a prediction error of less than 11% while saving up to 80% of the measurement effort.
Although the contributions themselves are orthogonally aligned, taken together they provide a holistic approach to performance management of modern cloud-native microservice applications.
Our contributions are a significant step forward as they specifically target novel and cloud-native software development and operation paradigms, surpassing the capabilities and limitations of previous approaches.
In addition, the research presented in this paper also has a significant impact on the industry, as the contributions were developed in collaboration with research teams from Nokia Bell Labs, Huawei, and Google.
Overall, our solutions open up new possibilities for managing and optimizing cloud applications and improve cost and energy efficiency.
Efficacy of transcranial direct current stimulation in people with multiple sclerosis: a review
(2022)
Background and purpose
Multiple sclerosis (MS) is a chronic inflammatory disease causing a wide range of symptoms including motor and cognitive impairment, fatigue and pain. Over the last two decades, non-invasive brain stimulation, especially transcranial direct current stimulation (tDCS), has increasingly been used to modulate brain function in various physiological and pathological conditions. However, its experimental applications for people with MS were noted only as recently as 2010 and have been growing since then. The efficacy for use in people with MS remains questionable with the results of existing studies being largely conflicting. Hence, the aim of this review is to paint a picture of the current state of tDCS in MS research grounded on studies applying tDCS that have been done to date.
Methods
A keyword search was performed to retrieve articles from the earliest article identified until 14 February 2021 using a combination of the groups (1) ‘multiple sclerosis’, ‘MS’ and ‘encephalomyelitis’ and (2) ‘tDCS’ and ‘transcranial direct current stimulation’.
Results
The analysis of the 30 articles included in this review underlined inconsistent effects of tDCS on the motor symptoms of MS based on small sample sizes. However, tDCS showed promising benefits in ameliorating fatigue, pain and cognitive symptoms.
Conclusion
Transcranial direct current stimulation is attractive as a non-drug approach in ameliorating MS symptoms, where other treatment options remain limited. The development of protocols tailored to the individual's own neuroanatomy using high definition tDCS and the introduction of network mapping in the experimental designs might help to overcome the variability between studies.
The genetic modification of T cells for the expression a chimeric antigen receptor (CAR) endows them with a new specificity for an antigen. Adoptive immunotherapy with CD19-CAR T cells has achieved high rates of sustained complete remissions in B cell malignancies. However, the downregulation or loss of the targeted antigen after mono-specific CAR T cell therapy, e.g. against CD19 or CD22, has been reported. Targeting multiple antigens on tumour cells, sequentially or simultaneously, could overcome this limitation. Additionally, targeting multiple antigens with CAR T cells could drive the translation from hematologic malignancies to prevalent solid cancers, which often express tumour-associated antigens heterogeneously. We hypothesised that expression of a universal CAR, which can be programmed with hapten-like molecules, could endow T cells with specificities for multiple antigens.
In this study we introduce a novel chemically programmable CAR (cpCAR) based on monoclonal antibody h38C2. Our data show, that cpCARs form a reversible chemical bond to molecules containing a diketone-group and therefore can be programmed to acquire multiple specificities. We programmed cpCAR T cells with hapten-like compounds against integrins αvβ3 and α4β1 as well as the folate receptor. We observed tumour cell lysis, IFN ɣ and IL-2 production and proliferation of programmed cpCAR T cells against tumour cells expressing the respective target antigen in vitro.
As a reference to cpCARs programmed against αvβ3, we further introduced novel conventional αvβ3-CARs. These CARs, based on humanised variants of monoclonal antibody LM609 (hLM609), directly bind to integrin αvβ3 via their scFv. The four αvβ3-CAR constructs comprised either an scFv with higher affinity (hLM609v7) or lower affinity (hLM609v11) against αvβ3 integrin and either a long (IgG4 hinge, CH2, CH3) or short (IgG4 hinge) extracellular spacer. We selected the hLM609v7-CAR with short spacer, which showed potent anti-tumour reactivity both in vitro and in a murine xenograft model, for comparison with the cpCAR programmed against αvβ3. Our data show specific lysis of αvβ3-positive tumour cells, cytokine production and proliferation of both hLM609-CAR T cells and cpCAR T cells in vitro. However, conventional hLM609-CAR T cells mediated stronger anti-tumour effects compared to cpCAR T cells in the same amount of time. In line with the in vitro data, complete destruction of tumour lesions in a murine melanoma xenograft model was only observed for mice treated with conventional αvβ3-CAR T cells.
Collectively, we introduce a cpCAR, which can be programmed against multiple tumour antigens, and hLM609-CARs specific for the integrin αvβ3. The cpCAR technology bears the potential to counteract current limitations, e.g. antigen loss, of current monospecific CAR T cell therapy. Targeting αvβ3 integrin with CAR T cells could have clinical applications in the treatment of solid malignancies, because αvβ3 is not only expressed on a variety of solid malignancies, but also on tumour-associated vasculature and fibroblast.
DNA damage occurs frequently during normal cellular progresses or by environmental factors. To preserve the genome integrity, DNA damage response (DDR) has evolved to repair DNA and the non-properly repaired DNA induces human diseases like immune deficiency and cancer. Since a large number of proteins involved in DDR are enzymes of ubiquitin system, it is critical to investigate how the ubiquitin system regulates cellular response to DNA damage. Hereby, we reveal a novel mechanism for DDR regulation via activation of SCF ubiquitin ligase upon DNA damage.
As an essential step for DNA damage-induced inhibition of DNA replication, Cdc25A degradation by the E3 ligase β-TrCP upon DNA damage requires the deubiquitinase Usp28. Usp28 deubiquitinates β-TrCP in response to DNA damage, thereby promotes its dimerization, which is required for its activity in substrate ubiquitination and degradation. Particularly, ubiquitination at a specific lysine on β-TrCP suppresses dimerization.
The key mediator protein of DDR, 53BP1, forms oligomers and associates with β-TrCP to inhibit its activity in unstressed cells. Upon DNA damage, 53BP1 is degraded in the nucleoplasm, which requires oligomerization and is promoted by Usp28 in a β-TrCP-dependent manner. Consequently, 53BP1 destruction releases and activates β-TrCP during DNA damage response.
Moreover, 53BP1 deletion and DNA damage promote β-TrCP dimerization and recruitment to chromatin sites that locate in the vicinity of putative replication origins. Subsequently, the chromatin-associated Cdc25A is degraded by β-TrCP at the origins. The stimulation of β-TrCP binding to the origins upon DNA damage is accompanied by unloading of Cdc45, a crucial component of pre-initiation complexes for replication. Loading of Cdc45 to origins is a key Cdk2-dependent step for DNA replication initiation, indicating that localized Cdc25A degradation by β-TrCP at origins inactivates Cdk2, thereby inhibits the initiation of DNA replication.
Collectively, this study suggests a novel mechanism for the regulation of DNA replication upon DNA damage, which involves 53BP1- and Usp28-dependent activation of the SCF(β-TrCP) ligase in Cdc25A degradation.
Articular cartilage is a highly specialized tissue which provides a lubricated gliding surface in joints and thereby enables low-friction movement. If damaged once it has a very low intrinsic healing capacity and there is still no treatment in the clinic which can restore healthy cartilage tissue. 3D biofabrication presents a promising perspective in the field by combining healthy cells and bioactive ink materials. Thereby, the composition of the applied bioink is crucial for defect restoration, as it needs to have the physical properties for the fabrication process and also suitable chemical cues to provide a supportive environment for embedded cells. In the last years, ink compositions with high polymer contents and crosslink densities were frequently used to provide 3D printability and construct stability. But these dense polymeric networks were often associated with restricted bioactivity and impaired cell processes like differentiation and the distribution of newly produced extracellular matrix (ECM), which is especially important in the field of cartilage engineering. Therefore, the aim of this thesis was the development of hyaluronic acid (HA)-based bioinks with a reduced polymer content which are 3D printable and additionally facilitate chondrogenic differentiation of mesenchymal stromal cells (MSCs) and the homogeneous distribution of newly produced ECM. Starting from not-printable hydrogels with high polymer contents and restricted bioactivity, distinct stepwise improvements were achieved regarding stand-alone 3D printability as well as MSC differentiation and homogeneous ECM distribution. All newly developed inks in this thesis made a valuable contribution in the field of cartilage regeneration and represent promising approaches for potential clinical applications. The underlying mechanisms and established ink design criteria can further be applied to other biofabricated tissues, emphasizing their importance also in a more general research setting.
Lack of acid sphingomyelinase (ASM) activity, either through genetic deficiency or through pharmacological inhibition, is linked with increased activity and frequency of Foxp3+ regulatory T cells (Treg) among cluster of differentiation (CD) 4+ T cells in mice in vivo and in vitro1. Thus, pharmacological blockade of ASM activity, which catalyzes the cleavage of sphingomyelin to ceramide and phosphocholine, might be used as a new therapeutic mechanism to correct numeric and/ or functional Treg de-ficiencies in diseases like multiple sclerosis or major depression.
In the present study, the effect of pharmacological inhibition of ASM in humans, in vitro and in vivo, was analyzed. In the in vitro experiments, peripheral blood mono-nuclear cells (PBMC) of healthy human blood donors were treated with two widely prescribed antidepressants with high (sertraline, Ser) or low (citalopram, Cit) capaci-ty to inhibit ASM activity. Similar to the findings in mice an increase in the frequency of Treg among human CD4+ T cells upon inhibition of ASM activity was observed. For the analysis in vivo, a prospective study of the composition of the CD4+ T cell com-partment of patients treated for major depression was done. The data show that pharmacological inhibition of ASM activity was superior to antidepressants with little or no ASM-inhibitory activity in increasing CD45RA- CD25high effector Treg (efTreg) frequencies among CD4+ T cells to normal levels. Independently of ASM inhibition, correlating the data with the clinical response, i.e. improvement of the Hamilton rat-ing scale for depression (HAMD) by at least 50 per cent (%) after four weeks of treatment, it was found that an increase in efTreg frequencies among CD4+ cells dur-ing the first week of treatment identified patients with a clinical response.
Regarding the underlying mechanism, it could be found that the positive effect of ASM inhibition on Treg required CD28 co-stimulation suggesting that enhanced CD28 co-stimulation was the driver of the observed increase in the frequency of Treg among human CD4+ T cells. Inhibition of ASM activity was further associated with changes in the expression and shuttling of CTLA-4, a key inhibitory molecule ex-pressed by Treg, between cellular compartments but the suppressive activity of CTLA-4 through its transendocytosis activity was unaffected by the inhibition of ASM activity.
In summary, the frequency of (effector) Treg among CD4+ T cells in mice and in hu-mans is increased after inhibition of ASM activity suggesting that ASM blockade might beneficially modulate autoimmune diseases and depression-promoting in-flammation.