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The paper discusses the policy implications of the Wirecard scandal. The study finds that all lines of defense against corporate fraud, including internal control systems, external audits, the oversight bodies for financial reporting and auditing and the market supervisor, contributed to the scandal and are in need of reform. To ensure market integrity and investor protection in the future, the authors make eight suggestions for the market and institutional oversight architecture in Germany and in Europe.
Banks are not immune from COVID-19. The economic downturn may drive some banks to the point of non-viability (PONV). If so, is the resolution regime in the Euro-area ready to respond? No, for banks may not have the right amount of the right kind of liabilities to make bail-in work. That could lead to a banking crisis. The Euro area can avoid this risk, by arranging now for a recap later. This would plug the gap between what the failing bank has and what it would need to make bail-in work. To do so, banks would pay – possibly via the contributions they make to the Single Resolution Fund – a commitment fee to a European backstop authority for a mandatory, system-wide note issuance facility. This would compel each bank, as it approached or reached the PONV, to issue to the backstop, and the backstop to purchase from the bank, the obligations the failing bank needs in order to make bail-in work. Such obligations would take the form of “senior-most” non-preferred debt, and bail-in would stop with such debt. That would allow the SRB to use the bail-in tool to resolve the failed bank, reopen it and run it under a solvent wind-down strategy. That protects counterparties and customers and ensures the continuity of critical economic functions. It also keeps investors at risk and promotes market discipline. Above all, it preserves financial stability.
The turnover time of terrestrial carbon (τ) controls the global carbon cycle – climate feedback and, yet, is poorly simulated by the current Earth System Models (ESMs). In this study, by assessing apparent carbon turnover time as the ratio between carbon stocks and fluxes, we provide a new, updated ensemble of diagnostic terrestrial carbon turnover times and associated uncertainties on a global scale using multiple, state-of-the-art, observation-based datasets of soil organic carbon stock (Csoil), vegetation biomass (Cveg) and gross primary productivity (GPP). Using this new ensemble, we estimated the global average τ to be 42$% &' years when the full soil depth is considered, longer than the previous estimates of 23$) &* years. Only considering the top 1 m (assuming maximum active layer depth is up to 1 meter) of soil carbon in circumpolar regions yields a global τ of 35$) &' years. Csoil in circumpolar regions account for two thirds of the total uncertainty in global τ estimates, whereas Csoil in non-circumpolar contributes merely 9.38%. GPP (2.25%) and Cveg (0.05%) contribute even less to the total uncertainty. Therefore, the high uncertainty in Csoil is the main factor behind the uncertainty in global τ, as reflected in the larger range of full-depth Csoil (3152-4372 PgC). The uncertainty is especially high in circumpolar regions with a behaviour of ESMs which could contribute to uncertainty reductions in future projections of the carbon cycle - climate feedback. The dataset of the terrestrial turnover time ensemble (DOI: 10.17871/bgitau.201911) is openly available from the data portal: https://doi.org/10.17871/bgitau.201911 (Fan et al., 2019) uncertainty of 50% and the spatial correlations among different datasets are also low compared to other regions. Overall, we argue that current global datasets do not support robust estimates of τ globally, for which we need clarification on variations of Csoil with soil depth and stronger estimates of Csoil in circumpolar regions. Despite the large variation in both magnitude and spatial patterns of τ, we identified robust features in the spatial patterns of τ that emerge regardless of soil depth and differences in data sources of Csoil, Cveg and GPP. Our findings show that the latitudinal gradients of τ are consistent across different datasets and soil depth. Furthermore, there is a strong consensus on the negative correlation between τ and temperature along latitude that is stronger in temperate zones (30ºN-60ºN) than in subtropical and tropical zones (30ºS30ºN). The identified robust patterns can be used to infer the response of τ to climate and for constraining contemporaneous behaviour of ESMs which could contribute to uncertainty reductions in future projections of the carbon cycle - climate feedback. The dataset of the terrestrial turnover time ensemble (DOI:10.17871/bgitau.201911) is openly available from the data portal: https://doi.org/10.17871/bgitau.201911 (Fan et al., 2019).
The turnover time of terrestrial ecosystem carbon is an emergent ecosystem property that quantifies the strength of land surface on the global carbon cycle–climate feedback. However, observation- and modeling-based estimates of carbon turnover and its response to climate are still characterized by large uncertainties. In this study, by assessing the apparent whole ecosystem carbon turnover times (τ) as the ratio between carbon stocks and fluxes, we provide an update of this ecosystem level diagnostic and its associated uncertainties in high spatial resolution (0.083∘) using multiple, state-of-the-art, observation-based datasets of soil organic carbon stock (Csoil), vegetation biomass (Cveg) and gross primary productivity (GPP). Using this new ensemble of data, we estimated the global median τ to be 43+7−7 yr (median+difference to percentile 75−difference to percentile 25) when the full soil is considered, in contrast to limiting it to 1 m depth. Only considering the top 1 m of soil carbon in circumpolar regions (assuming maximum active layer depth is up to 1 m) yields a global median τ of 37+3−6 yr, which is longer than the previous estimates of 23+7−4 yr (Carvalhais et al., 2014). We show that the difference is mostly attributed to changes in global Csoil estimates. Csoil accounts for approximately 84 % of the total uncertainty in global τ estimates; GPP also contributes significantly (15 %), whereas Cveg contributes only marginally (less than 1 %) to the total uncertainty. The high uncertainty in Csoil is reflected in the large range across state-of-the-art data products, in which full-depth Csoil spans between 3362 and 4792 PgC. The uncertainty is especially high in circumpolar regions with an uncertainty of 50 % and a low spatial correlation between the different datasets (0.2<r<0.5) when compared to other regions (0.6<r<0.8). These uncertainties cast a shadow on current global estimates of τ in circumpolar regions, for which further geographical representativeness and clarification on variations in Csoil with soil depth are needed. Different GPP estimates contribute significantly to the uncertainties of τ mainly in semiarid and arid regions, whereas Cveg causes the uncertainties of τ in the subtropics and tropics. In spite of the large uncertainties, our findings reveal that the latitudinal gradients of τ are consistent across different datasets and soil depths. The current results show a strong ensemble agreement on the negative correlation between τ and temperature along latitude that is stronger in temperate zones (30–60∘ N) than in the subtropical and tropical zones (30∘ S–30∘ N). Additionally, while the strength of the τ–precipitation correlation was dependent on the Csoil data source, the latitudinal gradients also agree among different ensemble members. Overall, and despite the large variation in τ, we identified robust features in the spatial patterns of τ that emerge beyond the differences stemming from the data-driven estimates of Csoil, Cveg and GPP. These robust patterns, and associated uncertainties, can be used to infer τ–climate relationships and for constraining contemporaneous behavior of Earth system models (ESMs), which could contribute to uncertainty reductions in future projections of the carbon cycle–climate feedback. The dataset of τ is openly available at https://doi.org/10.17871/bgitau.201911 (Fan et al., 2019).
We construct a new equation of state for the baryonic matter under an intense magnetic field within the framework of covariant density functional theory. The composition of matter includes hyperons as well as Δ-resonances. The extension of the nucleonic functional to the hypernuclear sector is constrained by the experimental data on Λ and Ξ-hypernuclei. We find that the equation of state stiffens with the inclusion of the magnetic field, which increases the maximum mass of neutron star compared to the non-magnetic case. In addition, the strangeness fraction in the matter is enhanced. Several observables, like the Dirac effective mass, particle abundances, etc. show typical oscillatory behavior as a function of the magnetic field and/or density which is traced back to the occupation pattern of Landau levels.
Glia, the helper cells of the brain, are essential in maintaining neural resilience across time and varying challenges: By reacting to changes in neuronal health glia carefully balance repair or disposal of injured neurons. Malfunction of these interactions is implicated in many neurodegenerative diseases. We present a reductionist model that mimics repair-or-dispose decisions to generate a hypothesis for the cause of disease onset. The model assumes four tissue states: healthy and challenged tissue, primed tissue at risk of acute damage propagation, and chronic neurodegeneration. We discuss analogies to progression stages observed in the most common neurodegenerative conditions and to experimental observations of cellular signaling pathways of glia-neuron crosstalk. The model suggests that the onset of neurodegeneration can result as a compromise between two conflicting goals: short-term resilience to stressors versus long-term prevention of tissue damage.
The miRNA biogenesis is tightly regulated to avoid dysfunction and consequent disease development. Here, we describe modulation of miRNA processing as a novel noncanonical function of the 5-lipoxygenase (5-LO) enzyme in monocytic cells. In differentiated Mono Mac 6 (MM6) cells, we found an in situ interaction of 5-LO with Dicer, a key enzyme in miRNA biogenesis. RNA sequencing of small noncoding RNAs revealed a functional impact, knockout of 5-LO altered the expression profile of several miRNAs. Effects of 5-LO could be observed at two levels. qPCR analyses thus indicated that (a) 5-LO promotes the transcription of the evolutionarily conserved miR-99b/let-7e/miR-125a cluster and (b) the 5-LO-Dicer interaction downregulates the processing of pre-let-7e, resulting in an increase in miR-125a and miR-99b levels by 5-LO without concomitant changes in let-7e levels in differentiated MM6 cells. Our observations suggest that 5-LO regulates the miRNA profile by modulating the Dicer-mediated processing of distinct pre-miRNAs. 5-LO inhibits the formation of let-7e which is a well-known inducer of cell differentiation, but promotes the generation of miR-99b and miR-125a known to induce cell proliferation and the maintenance of leukemic stem cell functions.
Inflation ist ein Konstrukt. Sie wird von unterschiedlichen Akteur*innen unterschiedlich wahrgenommen. Zum Teil passiert dies, weil Warenkörbe differieren, zum Teil weil Erwartungen unterschiedlich gebildet werden. Dieser Beitrag diskutiert die Heterogenität der Infl ation und ihrer Wahrnehmung und was dies für die Zielgröße der Zentralbankpolitik bedeutet.
Inflation ist ein Konstrukt. Sie wird von unterschiedlichen Akteuren unterschiedlich wahrgenommen. Zum Teil passiert dies, weil Warenkörbe differieren, zum Teil weil Erwartungen unterschiedlich gebildet werden. Dieser Beitrag diskutiert die Heterogenität der Inflation und ihrer Wahrnehmung und was dies für die Zielgröße der Zentralbankpolitik bedeutet.
The paper compares provision of public infrastructure via public-private partnerships (PPPs) with provision under government management. Due to soft budget constraints of government management, PPPs exert more effort and therefore have a cost advantage in building infrastructure. At the same time, hard budget constraints for PPPs introduce a bankruptcy risk and bankruptcy costs. Consequently, if bankruptcy costs are high, PPPs may be less efficient than public management, although this does not result from PPPs’ higher interest costs.
We develop a novel empirical approach to identify the effectiveness of policies against a pandemic. The essence of our approach is the insight that epidemic dynamics are best tracked over stages, rather than over time. We use a normalization procedure that makes the pre-policy paths of the epidemic identical across regions. The procedure uncovers regional variation in the stage of the epidemic at the time of policy implementation. This variation delivers clean identification of the policy effect based on the epidemic path of a leading region that serves as a counterfactual for other regions. We apply our method to evaluate the effectiveness of the nationwide stay-home policy enacted in Spain against the Covid-19 pandemic. We find that the policy saved 15.9% of lives relative to the number of deaths that would have occurred had it not been for the policy intervention. Its effectiveness evolves with the epidemic and is larger when implemented at earlier stages.
This essay argues for the philosophical standing of Walter Benjamin’s early work and posits a deeper continuity between this early work as a philosopher and the subsequent development of his work as a writer. When these fragments are read in proper relation to each other, they reveal for the first time many of the key innovations of Benjamin as a philosopher, as well as his points of influence on Horkheimer and Adorno. His early ‘Program’ critiques the Enlightenment conception of experience as a means for gaining empirical knowledge, and announces the need for a new concept of experience. Benjamin follows through on this program with a method of philosophical enquiry that is by turns fragmentary and constellational, developing a series of provisional notions of experience, which form a constellation with one another: perception, mimesis, language as a medium of experience, observation and memory.
Two main types of methods are used in gene therapy: integrating vectors and nuclease-based genome engineering. Nucleases are site-specific and are efficient for knock-outs, but inefficient at inserting long DNA sequences. Integrating vectors perform this task with high efficiency, but their insertion occurs at random genomic positions. This can result in transformation of target cells, which leads to severe adverse events in a gene therapy context. Thus, it is of great interest to develop novel genome engineering tools that combine the advantages of both technologies. The main focus of this thesis is on generating such a targetable integrating vector.
The integrating vector used in this project is the Sleeping Beauty (SB) transposon, a DNA transposon characterized by high activity across a wide range of cells. The SB transposase was combined with an RNA-guided Cas9 nuclease domain. This nuclease component was meant to direct transposase integration to specific targets defined by RNAs. The SB transposase was fused to cleavage-inactivated Cas9 (dCas9) to tether it to the target sites. In addition, adapter proteins consisting of dCas9 and domains non-covalently interacting with SB transposase or the SB transposon were generated. All constituent domains of these fusion proteins were tested in enzymatic assays and almost all enzymatic activities could be verified.
Combining the fusion protein dCas9-SB100X with a gRNA binding a sequence from the AluY repetitive element resulted in a weak, but statistically significant enrichment around sites bound by the gRNA. This enrichment was ca. 2-fold and occurred within a 300 bp window downstream of target sites, or within the AluY element.
Targeting with adapter proteins and targeting of other targets (L1 elements or single-copy targets) did not result in statistically significant effects. Single-copy targets tested included the HPRT gene and three specifically selected GSH targets that were known to be receptive to SB insertions. The combination with a more sequence-specific transposase mutant also failed to increase specificity to a level allowing targeting of single-copy loci. Genome-wide analysis of insertions however demonstrated, that dCas9-SB100X has a different insertion profile than SB100X, regardless of the gRNA used.
As low efficiency of retargeting is likely a consequence of the high background activity of the SB100X transposase in the fusion constructs, a SB mutant with reduced DNA affinity, SB(C42), was generated. For this mutant, transposition activity was partly dependent on a dCas9 domain being supplied with a multi-copy target gRNA, specifically a 2-fold increase in the presence of a AluY-directed gRNA. Whether using this mutant results in improved targeting remains to be determined.
In a side project, an attempt was made to direct SB insertions to ribosomal DNA by fusing the transposase to a nucleolar protein. This fusion transposase partially localized to nucleoli and insertions catalyzed by this transposase were found to be enriched in nucleolus organizer regions (NORs) and nucleolus-associated domains (NADs).
The aim of a second side project was increasing the ratio between homology-directed repair (HDR) and non-homologous end-joining (NHEJ) at Cas9-mediated double-strand breaks (DSBs). To achieve this, Cas9 was fused to DNA-interacting domains and corresponding binding sequences were fused to the homology donors. While an increased HDR/NHEJ ration could be observed for the fusion proteins, it was not dependent on the presence on the binding sequences in the donor molecules.
A Large Ion Collider Experiment (ALICE) is one of the four large experiments at the Large Hadron Collider (LHC) at the European Organization for Particle Physics (CERN). ALICE focuses on the physics of the strong interaction and in particular on the Quark-Gluon Plasma. This is a state of matter in which quarks are de-confined. It is believed that it existed in the earliest moments of the evolution of the universe. The ALICE detector studies the products of the collisions between heavy-nuclei, between protons, and between protons and heavy-nuclei. The sub-detector closest to the interaction point is the Inner Tracking System (ITS), which is used to measure the momentum and trajectory of the particles generated by the collisions and allows reconstructing primary and secondary interaction vertices. The ITS needs to have an accurate spatial resolution, together with a low material budget to limit the effect of multiple scattering on low-energetic particles to precisely reconstruct their trajectory. During the Long Shutdown 2 (2019-2020) of the LHC, the current ITS will be replaced by a completely redesigned sub-detector, which will improve readout rate and particle tracking performance especially at low-momentum.
The ALice PIxel DEtector (ALPIDE) chip was designed to meet the requirements of the upgraded ITS in terms of resolution, material budget, radiation hardness, and readout rate. The ALPIDE chip is a Monolithic Active Pixel Sensor (MAPS) realised in Complementary Metal-Oxide Semiconductor (CMOS) technology. Sensing element, analogue front-end, and its digital readout are integrated into the same silicon die. The readout architecture of the new ITS foresees that data is transmitted via a high-speed serial link directly from the ALPIDE to the off-detector electronics. The data is transmitted off-chip by a so-called Data Transmission Unit (DTU) which needs to be tolerant to Single-Event Effects induced by radiation, in order to guarantee reliable operation. The ALPIDE chip will operate in a radiation field with a High-Energy Hadron peak flux of 7.7·10^5 cm^-2s^-1.
The data are sent by the ALPIDE on copper cables to the readout system, which aggregates them and re-transmits them via optical fibres to the counting room. The position where the readout electronics will be placed is constrained by the maximum transmission distance reasonably achievable by the ALPIDE Data Transmission Unit and mechanical constraints of the ALICE experiment. The radiation field at that location is not negligible for its effects on electronics: the high-energy hadrons flux can reach 10^3 cm^-2s^-1. Static RAM (SRAM)-based Field Programmable Gate Arrays (FPGAs) are favoured over Application Specific Integrated Circuits (ASICs) or Radiation Hard by Design (RHBD) commercial devices because of cost effectiveness. Moreover, SRAM-based FPGAs are re-configurable and provide the data throughput required by the ITS. The main issue with SRAM-based FPGAs, for the intended application, is the susceptibility of their Configuration RAM (CRAM) to Single-Event Upsets: the number of CRAM bits is indeed much higher than the logic they configure. Total Ionizing Dose (TID) at the readout designed position is indeed still acceptable for Component Off The Shelf (COTS), provided that proper verification is carried out.
This dissertation focuses on two parts of the design of the readout system: the Data Transmission Unit of the ALPIDE chip and the design of fundamental modules for the SRAM-based FPGA of the readout electronics. In the first part, a module of the Data Transmission Unit is designed, optimising the trade-off between power consumption, radiation tolerance, and jitter performance. The design was tested and thoroughly characterised, including tests while under irradiation with a 30 MeV protons. Furthermore the Data Transmission Unit performance was validated after the integration into the first prototypes of ITS modules. In the second part, the problem of developing a radiation-tolerant SRAM-based FPGA design is investigated and a solution is provided. First, a general methodology for designing radiation-tolerant Finite State Machines in SRAM-based FPGAs is analysed, implemented, and verified. Later, the radiation-tolerant FPGA design for the ITS readout is described together with the radiation effects mitigation techniques that were selectively applied to the different modules. The design was tested with multiple irradiation tests and the results are stated below.
Proteine sind die Maschinen der Zellen. Um die Funktionalität von zahlreichen zellulären Prozessen zu gewährleisten, müssen Kommunikationssignale innerhalb von Proteinen weitergeleitet werden. Die Weiterleitung einer Störung an einem Ort im Protein zu einer entfernten Stelle, an welcher sie strukturelle und/oder dynamische Änderungen auslöst, wird Allosterie genannt. Zunächst wurde Allosterie hauptsächlich mit großräumigen Konformationsänderungen in Verbindung gebracht, aber später entwickelte sich ein dynamischerer Blickwinkel auf Allosterie in Abwesenheit dieser großräumigen Konformationsänderungen. Die Idee eines allosterischen Pfades bestehend aus konservierten und energetisch gekoppelten Aminosäuren, welche die Signalweiterleitung zwischen entfernten Stellen im Protein vermitteln, entstand. Diese allosterischen Pfade wurden durch zahlreiche theoretische Studien in Zusammenhang mit Pfaden effizienten anisotropen Energieflusses gebracht. Der Energiefluss entlang dieser Netzwerke verknüpft allosterische Signalübertragung mit Schwingungsenergietransfer (VET - vibrational energy transfer). Die Großzahl der Forschungsarbeiten über dynamische Allosterie basiert auf theoretischen Methoden, weil nur wenige geeignete experimentelle Verfahren existieren. Um diesen essentiellen biologischen Prozess der Informationsübertragung besser verstehen zu können, ist die Entwicklung neuer und leistungsstarker experimenteller Instrumente und Techniken daher dringend erforderlich. Die vorliegende Dissertation setzt sich dies zum Ziel.
VET in Proteinen ist aufgrund der Proteingeometrie inhärent anisotrop. Alle globulären Proteine besitzen Kanäle effizienten Energieflusses, von denen vermutet wird, dass sie wichtig für Proteinfunktionen, wie die schnelle Ableitung von überschüssiger Wärme, Ligandenbindung und allosterische Signalweiterleitung, sind. VET kann mit zeitaufgelöster Infrarot (IR) Spektroskopie untersucht werden, bei welcher ein Femtosekunden Anregepuls eines Lasers Schwingungsenergie in ein molekulares System an einer bestimmten Stelle injiziert und ein, nach einem veränderbarem Zeitintervall folgender, IR Abfragepuls die Ausbreitung dieser Schwingungsenergie detektiert. Ein protein-kompatibler und universell einsetzbarer Chromophor, der die Energie eines sichtbaren Photons in Schwingungsenergie konvertiert, wird als Heizelement benötigt um langreichweitige VET Pfade in Proteinen kartieren zu können. Der Azulen (Azu) Chromophor eignet sich dafür, weil er nach Photoanregung des ersten elektronischen Zustandes durch ultraschnelle interne Konversion fast die gesamte injizierte Energie innerhalb von einer Picosekunde in Schwingungsenergie umwandelt. Eingebettet in die nicht-kanonische Aminosäure (ncAA - non-canonical amino acid) ß-(1-Azulenyl)-L-Alanine (AzAla), kann der Azu Rest in Proteine eingebaut werden. Die Ankunft der injizierten Schwingungsenergie an einer bestimmten Stelle im Protein kann mithilfe eines IR Sensors detektiert werden. Die Kombination aus Azu als VET Heizelement und Azidohomoalanine (Aha) als VET Sensor mit transienter IR (TRIR) Spektroskopie wurde schon erfolgreich an kleinen Peptiden in der Dissertation von H. M. Müller-Werkmeister getestet, die der vorliegenden Dissertation in den Laboren der Bredenbeck Gruppe vorausging.
Die Schwingungsfrequenz chemischer Bindungen ist hochempfindlich auf selbst kleine Änderungen der Konformation und Dynamik in der unmittelbaren Umgebung und kann mit IR Spektroskopie gemessen werden, z. B. mit Fourier Transform IR (FTIR) Spektroskopie. IR Spektroskopie bietet eine außergewöhnlich gute Zeitauflösung, die es ermöglicht, dynamische Prozesse in Molekülen auf einer Zeitskala von wenigen Picosekunden zu beobachten, wie z. B. die ultraschnelle Weiterleitung von Schwingungsenergie. Mit zweidimensionaler (2D)-IR Spektroskopie können die Relaxation von schwingungsangeregten Zuständen und strukturelle Fluktuationen um die schwingende Bindung untersucht werden. Allerdings geht die herausragende Zeitauflösung mit limitierter spektraler Auflösung einher. In größeren Molekülen mit zahlreichen Bindungen überlagern sich die Schwingungsbanden und die Ortsauflösung geht verloren. Um diese Limitierung zu überwinden, können IR Marker benutzt werden, chemische Gruppen, die in einer spektral durchsichtigen Region des Protein/Wasser Spektrums (1800 bis 2500 cm-1) absorbieren. Als ncAA können sie kotranslational in Proteine an einer gewünschten Stelle eingebaut werden und so ortsspezifische Informationen aus dem Proteininneren liefern. Aufgrund ihrer geringen Größe, eines relativ großen Extinktionskoeffizientens (350-400 M-1cm-1) und einer hohen Empfindlichkeit auf Änderungen in der lokalen Umgebung sind organische Azide (N3) wie zum Beispiel Aha besonders geeignete IR Marker. Aha kann als Methionin Analogon ins Protein eingebaut werden.
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The role of radiation therapy in the treatment of (colo)-rectal cancer has changed dramatically over the past decades. Introduced with the aim of reducing the high rates of local recurrences after conventional surgery, major developments in imaging, surgical technique, systemic therapy and radiation delivery have now created a much more complex environment leading to a more personalized approach. Functional aspects including reduction of acute or late treatment-related side effects, sphincter or even organ-preservation and the unsolved problem of still high distant failure rates have become more important while local recurrence rates can be kept low in the vast majority of patients. This review summarizes the actual role of radiation therapy in different subgroups of patients with rectal cancer, including the current standard approach in different subgroups as well as recent developments focusing on neoadjuvant treatment intensification and/or non-operative treatment approaches aiming at organ-preservation.
The novel coronavirus infection (COVID-19) is caused by the new coronavirus SARS-CoV-2 and is characterized by an exaggerated inflammatory response that can lead to severe manifestations such as adult respiratory syndrome, sepsis, coagulopathy, and death in a proportion of patients. Among other factors and direct viral effects, the increase in the vasoconstrictor angiotensin II, the decrease in the vasodilator angiotensin, and the sepsis-induced release of cytokines can trigger a coagulopathy in COVID-19. A coagulopathy has been reported in up to 50% of patients with severe COVID-19 manifestations. An increase in d-dimer is the most significant change in coagulation parameters in severe COVID-19 patients, and progressively increasing values can be used as a prognostic parameter indicating a worse outcome. Limited data suggest a high incidence of deep vein thrombosis and pulmonary embolism in up to 40% of patients, despite the use of a standard dose of low-molecular-weight heparin (LMWH) in most cases. In addition, pulmonary microvascular thrombosis has been reported and may play a role in progressive lung failure. Prophylactic LMWH has been recommended by the International Society on Thrombosis and Haemostasis (ISTH) and the American Society of Hematology (ASH), but the best effective dosage is uncertain. Adapted to the individual risk of thrombosis and the d-dimer value, higher doses can be considered, especially since bleeding events in COVID-19 are rare. Besides the anticoagulant effect of LMWH, nonanticoagulant properties such as the reduction in interleukin 6 release have been shown to improve the complex picture of coagulopathy in patients with COVID-19.
Neutron total cross sections are an important source of experimental data in the evaluation of neutron-induced cross sections. The sum of all neutron-induced reaction cross sections can be determined with a precision of a few per cent in a relative measurement. The neutron spectrum of the photoneutron source nELBE extends in the fast region from about 100 keV to 10 MeV and has favourable conditions for transmission measurements due to the low instantaneous flux of neutrons and low gamma-flash background. Several materials of interest (in part included in the CIELO evaluation or on the HPRL of OECD/NEA) have been investigated: 197Au [1, 2], natFe [2], natW [2], 238U, natPt, 4He, natO, natNe, natXe. For gaseous targets high pressure gas cells with flat end-caps have been built that hold up to 200 bar pressure. The experimental setup will be presented including results from several transmission experiments and the data analysis leading to the total cross sections will be discussed.
Activations with neutrons in the keV energy range were routinely performed at the Karlsruhe Institute of Technology (KIT) in Germany in order to simulate stellar conditions for neutron-capture cross sections. A quasi-Maxwell-Boltzmann neutron spectrum of kT = 25 keV, being of interest for the astrophysical s-process, was produced by the 7Li(p,n) reaction utilizing a 1912 keV proton beam at the Karlsruhe Van de Graaff accelerator. Activated samples resulting in long-lived nuclear reaction products with half-lives in the order of yr 100 Myr were analyzed by Accelerator Mass Spectrometry (AMS). Comparison of the obtained reaction cross sections to literature data from previous Time-of-Flight (ToF) measurements showed that the selected AMS data are systematically lower than the ToF data. To investigate this discrepancy, 54Fe(n,γ)55Fe and 35Cl(n,γ)36Cl reaction cross sections were newly measured at the Frankfurt Neutron Source (FRANZ) in Germany. To complement the existing data, an additional neutron activation of 54Fe and 35Cl at a proton energy of 2 MeV was performed. The results will give implications for the stellar environment at kT = 90 keV, reaching the not yet experimentally explored high-energy s-process range. AMS measurements of the activated samples are scheduled.
Signaling pathways, depending on the second messenger molecule cAMP, modulate hippocampal cell signaling via influencing transcription factors like cAMP-regulated element-binding protein (CREB) or early growth response 1 EGR1/Krox24/zif268/ZENK (EGR1). Here, we investigated two reporter cell lines derived from an immortalized hippocampal neuronal cell line stably expressing a CRE- or EGR1-luciferase reporter gene (HT22CREluc and HT22EGR1luc, respectively). The cells were subjected to phosphodiesterase inhibitors and other cAMP-modulating agents to investigate dose- and time-dependent phosphodiesterase (PDE)-mediated fine-tuning of cAMP-dependent transcriptional signaling. The non-isoform-specific cyclic nucleotide phosphodiesterase (PDE) inhibitor isobutyl-methyl-xanthine (IBMX), as well as selective inhibitors of PDE3 (milrinone) and PDE4 (rolipram), were tested for their ability to elevate CRE- and EGR1-luciferase activity. Pharmacological parameters like onset of activity, maximum activity, and offset of activity were determined. In summary, phosphodiesterase inhibition appeared similarly potent in comparison to adenylate cyclase stimulation or direct activation of protein kinase A (PKA) via specific cAMP agonists and was at least partly mediated by PKA as shown by the selective PKA inhibitor <i>Rp</i>-8-Br-cAMPS. Moreover, transcriptional activation by PDE inhibition was also influenced by organic anion-exchanger action and interacted with fibroblast growth factor (FGF) receptor-mediated pathways.
Monitoring is an indispensable tool for the operation of any large installation of grid or cluster computing, be it high energy physics or elsewhere. Usually, monitoring is configured to collect a small amount of data, just enough to enable detection of abnormal conditions. Once detected, the abnormal condition is handled by gathering all information from the affected components. This data is processed by querying it in a manner similar to a database.
This contribution shows how the metaphor of a debugger (for software applications) can be transferred to a compute cluster. The concepts of variables, assertions and breakpoints that are used in debugging can be applied to monitoring by defining variables as the quantities recorded by monitoring and breakpoints as invariants formulated via these variables. It is found that embedding fragments of a data extracting and reporting tool such as the UNIX tool awk facilitates concise notations for commonly used variables since tools like awk are designed to process large event streams (in textual representations) with bounded memory. A functional notation similar to both the pipe notation used in the UNIX shell and the point-free style used in functional programming simplify the combination of variables that commonly occur when formulating breakpoints.
A concepção de indivíduo na sociedade administrada é analisada por Horkheimer e Adorno (1973), no ensaio Indivíduo no livro Temas Básicos da Sociologia, cujo método de exposição instiga à reflexão sobre a concepção de indivíduo e as possibilidades de formação e educação na sociedade administrada, demonstrando que a concepção de indivíduo na Filosofia ora tendia para uma ênfase na subjetividade em detrimento das condições objetivas sociais, ora tendia à totalidade social, negligenciando a singularidade do indivíduo. Em seguida, estabelecem articulações entre as diferentes esferas complementares (indivíduo e sociedade) e as consequências sobre a formação do indivíduo e a educação na contemporaneidade, problematizadas por Adorno (2000), em sua obra Educação e Emancipação, quanto às suas possibilidades e limites na sociedade administrada.
Neste artigo trataremos de entender quais foram as principais propostas de Theodor W. Adorno, filósofo alemão e membro da Escola de Frankfurt, para a educação de seu tempo. A partir de uma análise, mesmo que marginal, de parte do conjunto substancial de seus escritos, palestras, entrevistas e debates, sobretudo da obra em conjunto com Horkheimer, “Dialética do Esclarecimento” e dos ensaios de “Educação e Emancipação”, este texto evidencia os pressupostos do pensamento adorniano, pautado na teoria crítica da sociedade, e elucida suas reflexões na tentativa de propor que a educação fosse mais política e baseada no esclarecimento e na emancipação. Modicamente, buscamos pensar a atualidade e a urgência de suas reflexões para o campo educacional contemporâneo.
Comprehensive analysis of tumour sub-volumes for radiomic risk modelling in locally advanced HNSCC
(2020)
Simple Summary: Radiomic risk models are usually based on imaging features, which are extracted from the entire gross tumour volume (GTV entire ). This approach does not explicitly consider the complex biological structure of the tumours. Therefore, in this retrospective study, we investigated the prognostic value of radiomic analyses based on different tumour sub-volumes using computed tomography imaging of patients with locally advanced head and neck squamous cell carcinoma who were treated with primary radio-chemotherapy. The GTV entire was cropped by different margins to define the rim and corresponding core sub-volumes of the tumour. Furthermore, the best performing tumour rim sub-volume was extended into surrounding tissue with different margins. As a result, the models based on the 5 mm tumour rim and on the 3 mm extended rim sub-volume showed an improved performance compared to models based on the corresponding tumour core. This indicates that the consideration of tumour sub-volumes may help to improve radiomic risk models.
Abstract: Imaging features for radiomic analyses are commonly calculated from the entire gross tumour volume (GTVentire). However, tumours are biologically complex and the consideration of different tumour regions in radiomic models may lead to an improved outcome prediction. Therefore, we investigated the prognostic value of radiomic analyses based on different tumour sub-volumes using computed tomography imaging of patients with locally advanced head and neck squamous cell carcinoma. The GTVentire was cropped by different margins to define the rim and the corresponding core sub-volumes of the tumour. Subsequently, the best performing tumour rim sub-volume was extended into surrounding tissue with different margins. Radiomic risk models were developed and validated using a retrospective cohort consisting of 291 patients in one of the six Partner Sites of the German Cancer Consortium Radiation Oncology Group treated between 2005 and 2013. The validation concordance index (C-index) averaged over all applied learning algorithms and feature selection methods using the GTVentire achieved a moderate prognostic performance for loco-regional tumour control (C-index: 0.61 ± 0.04 (mean ± std)). The models based on the 5 mm tumour rim and on the 3 mm extended rim sub-volume showed higher median performances (C-index: 0.65 ± 0.02 and 0.64 ± 0.05, respectively), while models based on the corresponding tumour core volumes performed less (C-index: 0.59 ± 0.01). The difference in C-index between the 5 mm tumour rim and the corresponding core volume showed a statistical trend (p = 0.10). After additional prospective validation, the consideration of tumour sub-volumes may be a promising way to improve prognostic radiomic risk models.
CGC aktuell 01/2020
(2020)
Simple Summary: Therapeutic antibodies are an integral part of treatment regimens for metastasized colorectal cancer. In KRAS wildtype tumors both bevacizumab and cetuximab are active. While bevacizumab has previously been shown to induce tumor hypoxia, we here report that EGFR inhibition by cetuximab protects colon cancer cells from hypoxia-induced cell death. This effect appears to be responsible for the inferior efficacy of a treatment sequence of bevacizumab followed by cetuximab versus an inverse sequence that we observed in a colorectal cancer mouse model. It also offers a mechanistic explanation for effects observed in clinical trials such as underadditive or even detrimental effects when combining bevacizumab and cetuximab (CAIRO2 trial) and the superior efficacy of first line cetuximab (FIRE-3 trial) under chemotherapy backbones in colorectal cancer.
Abstract: Monoclonal antibodies like cetuximab, targeting the epidermal growth factor receptor (EGFR), and bevacizumab, targeting the vascular endothelial growth factor (VEGF), are an integral part of treatment regimens for metastasized colorectal cancer. However, inhibition of the EGFR has been shown to protect human glioma cells from cell death under hypoxic conditions. In colon carcinoma cells, the consequences of EGFR blockade in hypoxia (e.g., induced by bevacizumab) have not been evaluated yet. LIM1215 and SW948 colon carcinoma and LNT-229 glioblastoma cells were treated with cetuximab, PD153035, and erlotinib and analyzed for cell density and viability. The sequential administration of either cetuximab followed by bevacizumab (CET->BEV) or bevacizumab followed by cetuximab (BEV->CET) was investigated in a LIM1215 (KRAS wildtype) and SW948 (KRAS mutant) xenograft mouse model. In vitro, cetuximab protected from hypoxia. In the LIM1215 model, a survival benefit with cetuximab and bevacizumab monotherapy was observed, but only the sequence CET->BEV showed an additional benefit. This effect was confirmed in the SW948 model. Our observations support the hypothesis that bevacizumab modulates the tumor microenvironment (e.g., by inducing hypoxia) where cetuximab could trigger protective effects when administered later on. The sequence CET->BEV therefore seems to be superior as possible mutual adverse effects are bypassed.
Background: Hyperhomocysteinemia is considered a possible contributor to the complex pathology of Alzheimer’s disease (AD). For years, researchers in this field have discussed the apparent detrimental effects of the endogenous amino acid homocysteine in the brain. In this study, the roles of hyperhomocysteinemia driven by vitamin B deficiency, as well as potentially beneficial dietary interventions, were investigated in the novel AppNL-G-F knock-in mouse model for AD, simulating an early stage of the disease. Methods: Urine and serum samples were analyzed using a validated LC-MS/MS method and the impact of different experimental diets on cognitive performance was studied in a comprehensive behavioral test battery. Finally, we analyzed brain samples immunohistochemically in order to assess amyloid-β (Aβ) plaque deposition. Results: Behavioral testing data indicated subtle cognitive deficits in AppNL-G-F compared to C57BL/6J wild type mice. Elevation of homocysteine and homocysteic acid, as well as counteracting dietary interventions, mostly did not result in significant effects on learning and memory performance, nor in a modified Aβ plaque deposition in 35-week-old AppNL-G-F mice. Conclusion: Despite prominent Aβ plaque deposition, the AppNL-G-F model merely displays a very mild AD-like phenotype at the investigated age. Older AppNL-G-F mice should be tested in order to further investigate potential effects of hyperhomocysteinemia and dietary interventions.
Pathogenic variants in PRRT2, encoding the proline-rich transmembrane protein 2, have been associated with an evolving spectrum of paroxysmal neurologic disorders. Based on a cohort of children with PRRT2-related infantile epilepsy, this study aimed at delineating the broad clinical spectrum of PRRT2-associated phenotypes in these children and their relatives. Only a few recent larger cohort studies are on record and findings from single reports were not confirmed so far. We collected detailed genetic and phenotypic data of 40 previously unreported patients from 36 families. All patients had benign infantile epilepsy and harbored pathogenic variants in PRRT2 (core cohort). Clinical data of 62 family members were included, comprising a cohort of 102 individuals (extended cohort) with PRRT2-associated neurological disease. Additional phenotypes in the cohort of patients with benign sporadic and familial infantile epilepsy consist of movement disorders with paroxysmal kinesigenic dyskinesia in six patients, infantile-onset movement disorders in 2 of 40 individuals, and episodic ataxia after mild head trauma in one girl with bi-allelic variants in PRRT2. The same girl displayed a focal cortical dysplasia upon brain imaging. Familial hemiplegic migraine and migraine with aura were reported in nine families. A single individual developed epilepsy with continuous spikes and waves during sleep. In addition to known variants, we report the novel variant c.843G>T, p.(Trp281Cys) that co-segregated with benign infantile epilepsy and migraine in one family. Our study highlights the variability of clinical presentations of patients harboring pathogenic PRRT2 variants and expands the associated phenotypic spectrum.
Iron deprivation activates mitophagy and extends lifespan in nematodes. In patients suffering from Parkinson’s disease (PD), PINK1-PRKN mutations via deficient mitophagy trigger iron accumulation and reduce lifespan. To evaluate molecular effects of iron chelator drugs as a potential PD therapy, we assessed fibroblasts by global proteome profiles and targeted transcript analyses. In mouse cells, iron shortage decreased protein abundance for iron-binding nucleotide metabolism enzymes (prominently XDH and ferritin homolog RRM2). It also decreased the expression of factors with a role for nucleotide surveillance, which associate with iron-sulfur-clusters (ISC), and are important for growth and survival. This widespread effect included prominently Nthl1-Ppat-Bdh2, but also mitochondrial Glrx5-Nfu1-Bola1, cytosolic Aco1-Abce1-Tyw5, and nuclear Dna2-Elp3-Pold1-Prim2. Incidentally, upregulated Pink1-Prkn levels explained mitophagy induction, the downregulated expression of Slc25a28 suggested it to function in iron export. The impact of PINK1 mutations in mouse and patient cells was pronounced only after iron overload, causing hyperreactive expression of ribosomal surveillance factor Abce1 and of ferritin, despite ferritin translation being repressed by IRP1. This misregulation might be explained by the deficiency of the ISC-biogenesis factor GLRX5. Our systematic survey suggests mitochondrial ISC-biogenesis and post-transcriptional iron regulation to be important in the decision, whether organisms undergo PD pathogenesis or healthy aging.
Mobile genetic elements (MGEs), especially multidrug-resistance plasmids, are major vehicles for the dissemination of antimicrobial resistance determinants. Herein, we analyse the MGEs in three extensively drug-resistant (XDR) Klebsiella pneumoniae isolates from Germany. Whole genome sequencing (WGS) is performed using Illumina and MinION platforms followed by core-genome multi-locus sequence typing (MLST). The plasmid content is analysed by conjugation, S1-pulsed-field gel electrophoresis (S1-PFGE) and Southern blot experiments. The K. pneumoniae isolates belong to the international high-risk clone ST147 and form a cluster of closely related isolates. They harbour the blaOXA-181 carbapenemase on a ColKP3 plasmid, and 12 antibiotic resistance determinants on an multidrug-resistant (MDR) IncR plasmid with a recombinogenic nature and encoding a large number of insertion elements. The IncR plasmids within the three isolates share a high degree of homology, but present also genetic variations, such as inversion or deletion of genetic regions in close proximity to MGEs. In addition, six plasmids not harbouring any antibiotic resistance determinants are present in each isolate. Our study indicates that genetic variations can be observed within a cluster of closely related isolates, due to the dynamic nature of MGEs. The mobilome of the K. pneumoniae isolates combined with the emergence of the XDR ST147 high-risk clone have the potential to become a major challenge for global healthcare.
Photorhabdus and Xenorhabdus bacteria live in a highly specific symbiosis with nematodes that belong to the genus of Heterorhabditis and Steinernema, respectively. These cruiser type nematodes actively search for soil-dwelling insects and infect them via natural openings. Inside of the insect, the bacteria are released into the hemocoel where they start producing an array of secondary metabolites to bypass the insect immune system and kill the prey within 48 hours. Many of those natural products possess bioactivities against other bacteria, fungi, protozoa or insects, which makes them interesting candidates for pharmaceutical applications. Even though advanced molecular biological methods in combination with bioinformatics tools can now be used to predict biosynthetic gene clusters (BGCs) and their products, there are still many BGCs with unknown products. Even for the plethora of natural products that were successfully identified in the last couple of years, the exact ecological function often remains elusive, as laboratory conditions can vary considerably from the natural environment of the bacteria. Knowledge about the natural conditions that stimulate, or repress production of certain natural products and their underlying regulatory mechanisms yield new approaches for natural product research and enables possibilities for selective manipulations of the regulatory cascades.
The overarching goal of this work was to examine the regulatory networks in Photorhabdus and Xenorhabdus strains. The first part of this work focused on the Hfq-dependent regulation of specialized metabolite production. In those genera, the RNA chaperone, Hfq, represses expression of hexA, which encodes for a global transcriptional regulator that acts as the master repressor for SM production. Multiple global approaches were used to identify the sRNA ArcZ, which targets a specific region in the 5’-untranslated region of the hexA mRNA and ultimately guides Hfq in order to repress its expression. It was shown that a deletion of arcZ led to a drastic reduction of SM production in Photorhabdus and Xenorhabdus, consistent with the phenotype of their respective hfq deletion mutants. Transcriptomic profiling revealed far-reaching effects on the transcriptome, with up to 735 coding sequences significantly affected in the arcZ deletion strain. Finally, it was shown that the resulting chemical background, devoid of SMs, in combination with targeted promotor exchange can be used to exclusively overproduce a desired natural product, representing an alternative route of genetic manipulation.
The second part of this work focused on the influence and identification of insect related compounds that affect SM production in P. laumondii, X. szentirmaii and X. nematophila. Insect homogenate was generated from G. mellonella larvae, a model host for these bacteria. Supplementation of the cultivation medium with homogenate induced considerable shifts in the SM profiles of those bacteria. A global effect on the transcriptional output was determined by transcriptomic profiling. The core response to the simulation of an insect environment consisted of ten CDS, eight of which are involved in the degradation of fatty acids or the import of maltose and maltodextrin into the cells. Two abundant components in the insect homogenate, trehalose and putrescin, were added to the cultivation medium of those strains and subsequent HPLC-MS analysis revealed a direct correlation of their concentration in the medium and the production titres of certain SMs. These results indicated that the bacteria sense the insect environment via different insect specific components in order to initiate a metabolic adjustment, which is probably required for adaptation to the insect host.
The last part of this work examined the influence of other, so far not directly related genes on SM production, based on the isolation of P. laumondii transposon-insertion mutants with clear phenotypic alterations. Re-sequencing and SM profiling of the mutant strains revealed that a transposon-insertion in the gene encoding for a putative DNA-adenine methyltransferase affected SM production. The phenotype was confirmed by deleting this gene. Based on Single-Molecule Real-Time sequencing, the complete methylome of the WT, deletion- and complementation mutant were analysed (experimental work performed by Sacha J. Pidot, Melbourne, Australia). No obvious alterations were detected in the methylation patterns of the strains, indicating that the dam gene product does not methylate the adenine in GATC-motifs, as it was described in literature for E. coli. This data raises the question what the function of the putative DNA-adenine methyltransferase is in P. laumondii and how it can influence the secondary metabolism. Even though there is currently no clear evidence, the potential role of epigenetic gene regulation mechanisms should be considered in further work.
Die Aufdeckung krankheitsbedingter Unterschiede und die Identifizierung neuer Biomarker sind essenziell für Diagnose und Behandlung verschiedener Erkrankungen. Unterschiede zwischen Erkrankungen können u.a. durch Analyse des Lipidprofils aufgedeckt werden, da dieses eng mit dem Phänotyp verknüpft ist. Ein unvoreingenommenes Screening gewährt einen umfassenderen Einblick in den metabolischen Zustand als eine gezielte Untersuchung weniger Analyten und kann neue Hypothesen generieren. Deshalb wurde im Rahmen dieser Arbeit eine Screening-Methode zur untargeted Untersuchung des Lipidoms in biologischen Proben entwickelt. Durch die Kombination aus Umkehrphasenchromatographie und hochauflösender Massenspektrometrie mit datenabhängiger Aufnahme von MS/MS-Spektren konnten in Humanplasma 440 Lipide aus mehr als 15 Lipidklassen identifiziert werden. Die mehrstufige Identifizierung der Analyten, basierend auf der exakten Masse ±5 ppm, der Isotopenverteilung, der MS/MS-Fragmentierungsmuster in beiden Ionisationsmodi sowie der chromatographischen Auftrennung von Isomeren und Isobaren, erfolgte mit hoher Selektivität. Mit der vorgestellten Methode können sowohl Lipidklassen als auch einzelne Lipide relativ zu den internen Standards quantifiziert werden.
Der Probendurchsatz wurde erhöht, um den Einsatz der Methode im Rahmen größerer klinischer Studien zu ermöglichen und vorhandene Ressourcen effizient einzusetzen. Dabei wurden die Inkubationszeiten während der Flüssig-Flüssig-Extraktion mit MTBE:Methanol deutlich reduziert und die Handhabung vereinfacht bei gleichbleibend hoher Wiederfindung. Der hohe Probendurchsatz wird weiter unterstützt durch die kurze chromatographische Laufzeit von 17 min pro Ionisationsmodus. Die Auswertung der Ergebnisse ist der heikelste und zeitintensivste Schritt bei der Entwicklung und Anwendung von Screening-Methoden, deshalb wurde der Arbeitsablauf zur univariaten Analyse durch Entwicklung von R Skripten vereinfacht und beschleunigt.
Die Qualität und Reproduzierbarkeit der Ergebnisse sind essenziell. Aus diesem Grund wurde die Qualität der entwickelten Methode, angelehnt an den strikten Vorgaben der FDA und EMA zur Validierung von quantitativen Methoden, sichergestellt, obwohl eine Methodenüberprüfung im Bereich von untargeted Methoden nicht verbreitet ist. Die Reproduzierbarkeit der relativen Lipidkonzentrationen konnte z.B. durch die Messung von Kontrollplasmaproben über einen Zeitraum von 10 Monaten gezeigt werden. Außerdem wurde die Linearität der Verdünnung von Plasmaproben bestätigt und eine Verschleppung in darauffolgende Proben ausgeschlossen. Die Stabilität der Proben muss in jeder Messphase inklusive der Präanalytik durch geeignete Untersuchungen und Maßnahmen sichergestellt werden. Anhand einer Studie zur präanalytischen Stabilität humaner Blutproben konnte ein Protokoll zur Probennahme und -vorbereitung für weitere klinische Studien erarbeitet werden. Die Stabilität des Lipidoms in Vollblut und Plasma konnte durch den Einsatz von Natriumfluorid/Citrat als Antikoagulans verbessert werden. Auch die Stabilität der Proben während der Lipidextraktion und Messung konnte gezeigt werden. Es wurden 16 verschiedene Probenarten analysiert, darunter Plasmaproben, verschiedene Mausgewebe und Zellpellets.
Mit der entwickelten Methode wurden die Unterschiede im Lipidprofil im Plasma und Gewebe von Mäusen mit einer akuten Entzündung durch LPS bzw. Zymosan-Injektion aufgedeckt. Dabei wurden die Ether-Phosphatidylcholine als potenzielle Entzündungsmarker identifiziert. Die entwickelte Methode wurde außerdem erfolgreich im Rahmen anderer Arbeiten für die Untersuchung verschiedener Erkrankungen angewendet.
In der vorliegenden Arbeit wird demnach eine schnelle, reproduzierbare und vor allem selektive LC-MS-Screening-Methode vorgestellt, die Veränderungen des Lipidstoffwechsels aufdecken und potenzielle Biomarker identifizieren kann.
The two main phytocannabinoids—delta-9-tetrahydrocannabinol (THC) and cannabidiol (CBD)—have been extensively studied, and it has been shown that THC can induce transient psychosis. At the same time, CBD appears to have no psychotomimetic potential. On the contrary, emerging evidence for CBD's antipsychotic properties suggests that it may attenuate effects induced by THC. Thus, we investigated and compared the effects of THC and CBD administration on emotion, cognition, and attention as well as the impact of CBD pre-treatment on THC effects in healthy volunteers. We performed a placebo-controlled, double-blind, experimental trial (GEI-TCP II; ClinicalTrials.gov identifier: NCT02487381) with 60 healthy volunteers randomly allocated to four parallel intervention groups, receiving either placebo, 800 mg CBD, 20 mg THC, or both cannabinoids. Subjects underwent neuropsychological tests assessing working memory (Letter Number Sequencing test), cognitive processing speed (Digit Symbol Coding task), attention (d2 Test of Attention), and emotional state (adjective mood rating scale [EWL]). Administration of CBD alone did not influence the emotional state, cognitive performance, and attention. At the same time, THC affected two of six emotional categories—more precisely, the performance-related activity and extraversion—, reduced the cognitive processing speed and impaired the performance on the d2 Test of Attention. Interestingly, pre-treatment with CBD did not attenuate the effects induced by THC. These findings show that the acute intake of CBD itself has no effect per se in healthy volunteers and that a single dose of CBD prior to THC administration was insufficient to mitigate the detrimental impact of THC in the given setting. This is in support of a complex interaction between CBD and THC whose effects are not counterbalanced by CBD under all circumstances.
Pain is the most frequent cause triggering patients to visit a physician. The worldwide incidence of chronic pain is in the range of 20% of adults, and chronic pain conditions are frequently associated with several comorbidities and a drastic decrease in patients’ quality of life. Although several approved analgesics are available, such therapy is often not satisfying due to insufficient efficacy and/or severe side effects. Therefore, novel strategies for the development of safe and highly efficacious pain killers are urgently needed. To reach this goal, it is necessary to clarify the causes and signal transduction cascades underlying the onset and progression of the different types of chronic pain. The papers in this Special Issue cover a wide variety of mechanisms involved in different pain types such as inflammatory, neuropathic or cancer pain. Therefore, the results summarized here might contribute to a better understanding of the mechanisms in chronic pain and thereby to the development of novel therapeutic strategies for pain patients.
Severe acute respiratory syndrome virus 2 (SARS-CoV-2) is the cause of the current coronavirus disease 19 (COVID-19) pandemic. Protease inhibitors are under consideration as virus entry inhibitors that prevent the cleavage of the coronavirus spike (S) protein by cellular proteases. Herein, we showed that the protease inhibitor aprotinin (but not the protease inhibitor SERPINA1/alpha-1 antitrypsin) inhibited SARS-CoV-2 replication in therapeutically achievable concentrations. An analysis of proteomics and translatome data indicated that SARS-CoV-2 replication is associated with a downregulation of host cell protease inhibitors. Hence, aprotinin may compensate for downregulated host cell proteases during later virus replication cycles. Aprotinin displayed anti-SARS-CoV-2 activity in different cell types (Caco2, Calu-3, and primary bronchial epithelial cell air–liquid interface cultures) and against four virus isolates. In conclusion, therapeutic aprotinin concentrations exert anti-SARS-CoV-2 activity. An approved aprotinin aerosol may have potential for the early local control of SARS-CoV-2 replication and the prevention of COVID-19 progression to a severe, systemic disease.
Fruiting body-forming members of the Basidiomycota maintain their ecological fitness against various antagonists like ascomycetous mycoparasites. To achieve that, they produce myriads of bioactive compounds, some of which are now being used as agrochemicals or pharmaceutical lead structures. Here, we screened ethyl acetate crude extracts from cultures of thirty-five mushroom species for antifungal bioactivity, for their effect on the ascomycete Saccharomyces cerevisiae and the basidiomycete Ustilago maydis. One extract that inhibited the growth of S. cerevisiae much stronger than that of U. maydis was further analyzed. For bioactive compound identification, we performed bioactivity-guided HPLC/MS fractionation. Fractions showing inhibition against S. cerevisiae but reduced activity against U. maydis were further analyzed. NMR-based structure elucidation from one such fraction revealed the polyyne we named feldin, which displays prominent antifungal bioactivity. Future studies with additional mushroom-derived eukaryotic toxic compounds or antifungals will show whether U. maydis could be used as a suitable host to shortcut an otherwise laborious production of such mushroom compounds, as could recently be shown for heterologous sesquiterpene production in U. maydis.
Simple Summary: Pseudoprogression detection in glioblastoma patients remains a challenging task. Although pseudoprogression has only a moderate prevalence of 10–30% following first-line treatment of glioblastoma patients, it bears critical implications for affected patients. Non-invasive techniques, such as amino acid PET imaging using the tracer O-(2-[18F]-fluoroethyl)-L-tyrosine (FET), expose features that have been shown to provide useful information to distinguish tumor progression from pseudoprogression. The usefulness of FET-PET in IDH-wildtype glioblastoma exclusively, however, has not been investigated so far. Recently, machine learning (ML) algorithms have been shown to offer great potential particularly when multiparametric data is available. In this preliminary study, a Linear Discriminant Analysis-based ML algorithm was deployed in a cohort of newly diagnosed IDH-wildtype glioblastoma patients (n = 44) and demonstrated a significantly better diagnostic performance than conventional ROC analysis. This preliminary study is the first to assess the performance of ML in FET-PET for diagnosing pseudoprogression exclusively in IDH-wildtype glioblastoma and demonstrates its potential.
Abstract: Pseudoprogression (PSP) detection in glioblastoma remains challenging and has important clinical implications. We investigated the potential of machine learning (ML) in improving the performance of PET using O-(2-[18F]-fluoroethyl)-L-tyrosine (FET) for differentiation of tumor progression from PSP in IDH-wildtype glioblastoma. We retrospectively evaluated the PET data of patients with newly diagnosed IDH-wildtype glioblastoma following chemoradiation. Contrast-enhanced MRI suspected PSP/TP and all patients underwent subsequently an additional dynamic FET-PET scan. The modified Response Assessment in Neuro-Oncology (RANO) criteria served to diagnose PSP. We trained a Linear Discriminant Analysis (LDA)-based classifier using FET-PET derived features on a hold-out validation set. The results of the ML model were compared with a conventional FET-PET analysis using the receiver-operating-characteristic (ROC) curve. Of the 44 patients included in this preliminary study, 14 patients were diagnosed with PSP. The mean (TBRmean) and maximum tumor-to-brain ratios (TBRmax) were significantly higher in the TP group as compared to the PSP group (p = 0.014 and p = 0.033, respectively). The area under the ROC curve (AUC) for TBRmax and TBRmean was 0.68 and 0.74, respectively. Using the LDA-based algorithm, the AUC (0.93) was significantly higher than the AUC for TBRmax. This preliminary study shows that in IDH-wildtype glioblastoma, ML-based PSP detection leads to better diagnostic performance.
Background: Due to the difficulties in the definite diagnosis, data on brain imaging in pediatric patients with central nervous system (CNS)-invasive mold infection (IMD) are scarce. Our aim was to describe brain imaging abnormalities seen in immunocompromised children with CNS-IMD, and to analyze retrospectively whether specific imaging findings and sequences have a prognostic value. Methods: In a retrospective study of 19 pediatric patients with proven or probable CNS-IMD, magnetic resonance imaging (MRI)-findings were described and analyzed. The results were correlated with outcome, namely death, severe sequelae, or no neurological sequelae. Results: 11 children and 8 adolescents (11/8 with proven/probable CNS-IMD) were included. Seven of the patients died and 12/19 children survived (63%): seven without major neurological sequelae and five with major neurological sequelae. Multifocal ring enhancement and diffusion restriction were the most common brain MRI changes. Diffusion restriction was mostly seen at the core of the lesion. No patient with disease limited to one lobe died. Perivascular microbleeding seen on susceptibility weighted imaging (SWI) and/or gradient-echo/T2* images, as well as infarction, were associated with poor prognosis. Conclusions: The presence of infarction was related to poor outcome. As early microbleeding seems to be associated with poor prognosis, we suggest including SWI in routine diagnostic evaluation of immunocompromised children with suspected CNS-IMD.
Functional circuit training (FCT) has been demonstrated to acutely enhance cognitive performance (CP). However, the moderators of this observation are unknown. This study aimed to elucidate the role of exercise intensity. According to an a priori sample size calculation, n = 24 healthy participants (26 ± 3 years, 13 females), in randomized order, performed a single 15-min bout of FCT with low (20–39% of the heart rate reserve/HRR), moderate (40–59% HRR) or high intensity (maximal effort). Immediately pre- and post-workout, CP was measured by use of the Digit Span test, Stroop test and Trail Making test. Non-parametric data analyses did not reveal significant differences between conditions (p > 0.05) although parameter-free 95% confidence intervals showed pre-post improvements in some outcomes at moderate and high intensity only. The effort level does not seem to be a major effect modifier regarding short-term increases in CP following HCT in young active adults.
Perceptual-cognitive function and unplanned athletic movement task performance: a systematic review
(2020)
The performance of choice-reaction tasks during athletic movement has been demonstrated to evoke unfavorable biomechanics in the lower limb. However, the mechanism of this observation is unknown. We conducted a systematic review examining the association between (1) the biomechanical and functional safety of unplanned sports-related movements (e.g., jumps/runs with a spontaneously indicated landing leg/cutting direction) and (2) markers of perceptual–cognitive function (PCF). A literature search in three databases (PubMed, ScienceDirect and Google Scholar) identified five relevant articles. The study quality, rated by means of a modified Downs and Black checklist, was moderate to high (average: 13/16 points). Four of five papers, in at least one parameter, found either an association of PCF with task safety or significantly reduced task safety in low vs. high PCF performers. However, as (a) the outcomes, populations and statistical methods of the included trials were highly heterogeneous and (b) only two out of five studies had an adequate control condition (pre-planned movement task), the evidence was classified as conflicting. In summary, PCF may represent a factor affecting injury risk and performance during unplanned sports-related movements, but future research strengthening the evidence for this association is warranted.
Baseline presence of NAFLD predicts weight loss after gastric bypass surgery for morbid obesity
(2020)
Background. Bariatric surgery is a widely used treatment for morbid obesity. Prediction of postoperative weight loss currently relies on prediction models, which mostly overestimate patients’ weight loss. Data about the influence of Non-alcoholic fatty liver disease (NAFLD) on early postoperative weight loss are scarce. Methods. This prospective, single-center cohort study included 143 patients receiving laparoscopic gastric bypass surgery (One Anastomosis-Mini Gastric Bypass (OAGB-MGB) or Roux-en-Y Gastric Bypass (RYGB)). Liver biopsies were acquired at surgery. NAFLD activity score (NAS) assigned patients to “No NAFLD”, “NAFL” or “NASH”. Follow up data were collected at 3, 6 and 12 months. Results. In total, 49.7% of patients had NASH, while 41.3% had NAFL. Compared with the No NAFLD group, NAFL and NASH showed higher body-mass-index (BMI) at follow-up (6 months: 31.0 kg/m2 vs. 36.8 kg/m2 and 36.1 kg/m2, 12 months: 27.0 kg/m2 vs. 34.4 and 32.8 kg/m2) and lower percentage of total body weight loss (%TBWL): (6 months: 27.1% vs. 23.3% and 24.4%; 12 months: 38.5% vs. 30.1 and 32.6%). Linear regression of NAS points significantly predicts percentage of excessive weight loss (%EWL) after 6 months (Cologne-weight-loss-prediction-score). Conclusions. Histopathological presence of NAFLD might lead to inferior postoperative weight reduction after gastric bypass surgery. The mechanisms underlying this observation should be further studied.
Simple Summary: Targeted therapies are of growing interest to physicians in cancer treatment. These drugs target specific genes and proteins involved in the growth and survival of cancer cells. Brain tumor therapy is complicated by the fact that not all drugs can penetrate the blood brain barrier and reach their target. We explored the non-invasive method, Magnetic Resonance Spectroscopy, for monitoring drug penetration and its effects in live animals bearing brain tumors. We were able to show the presence of the investigated drug in mouse brains and its on-target activity.
Abstract: Background: BAY1436032 is a fluorine-containing inhibitor of the R132X-mutant isocitrate dehydrogenase (mIDH1). It inhibits the mIDH1-mediated production of 2-hydroxyglutarate (2-HG) in glioma cells. We investigated brain penetration of BAY1436032 and its effects using 1H/19F-Magnetic Resonance Spectroscopy (MRS). Methods: 19F-Nuclear Magnetic Resonance (NMR) Spectroscopy was conducted on serum samples from patients treated with BAY1436032 (NCT02746081 trial) in order to analyze 19F spectroscopic signal patterns and concentration-time dynamics of protein-bound inhibitor to facilitate their identification in vivo MRS experiments. Hereafter, 30 mice were implanted with three glioma cell lines (LNT-229, LNT-229 IDH1-R132H, GL261). Mice bearing the IDH-mutated glioma cells received 5 days of treatment with BAY1436032 between baseline and follow-up 1H/19F-MRS scan. All other animals underwent a single scan after BAY1436032 administration. Mouse brains were analyzed by liquid chromatography-mass spectrometry (LC-MS/MS). Results: Evaluation of 1H-MRS data showed a decrease in 2-HG/total creatinine (tCr) ratios from the baseline to post-treatment scans in the mIDH1 murine model. Whole brain concentration of BAY1436032, as determined by 19F-MRS, was similar to total brain tissue concentration determined by Liquid Chromatography with tandem mass spectrometry (LC-MS/MS), with a signal loss due to protein binding. Intratumoral drug concentration, as determined by LC-MS/MS, was not statistically different in models with or without R132X-mutant IDH1 expression. Conclusions: Non-invasive monitoring of mIDH1 inhibition by BAY1436032 in mIDH1 gliomas is feasible.
Remote sensing data are essential for monitoring the Earth’s surface waters, especially since the amount of publicly available in-situ data is declining. Satellite altimetry provides valuable information on the water levels and variations of lakes, reservoirs and rivers. In combination with satellite imagery, the derived time series allow the monitoring of lake storage changes and river discharge. However, satellite altimetry is limited in terms of its spatial resolution due to its measurement geometry, only providing information in the nadir direction beneath the satellite’s orbit. In a case study in the Mississippi River Basin (MRB), this study investigates the potential and limitations of past and current satellite missions for the monitoring of basin-wide storage changes. For that purpose, an automated target detection is developed and the extracted lake surfaces are merged with the satellites’ tracks. This reveals that the current altimeter configuration misses about 80% of all lakes larger than 0.1 km2 in the MRB and 20% of lakes larger than 10 km2, corresponding to 30% and 7% of the total water area, respectively. Past altimetry configurations perform even more poorly. From the larger water bodies represented by a global hydrology model, at least 91% of targets and 98% of storage changes are captured by the current altimeter configuration. This will improve significantly with the launch of the planned Surface Water and Ocean Topography (SWOT) mission.
Increases in water demand often result in unsustainable water use, leaving insufficient amounts of water for the environment. Therefore, water-saving strategies have been introduced to the environmental policy agenda in many (semi)-arid regions. As many such interventions failed to reach their objectives, a comprehensive tool is needed to assess them. We introduced a constructive framework to assess the proposed strategies by estimating five key components of the water balance in an area: (1) Demand; (2) Availability; (3) Withdrawal; (4) Depletion and (5) Outflow. The framework was applied to assess the Urmia Lake Restoration Program (ULRP) which aimed to increase the basin outflow to the lake to reach 3.1 × 109 m3 yr−1. Results suggested that ULRP could help to increase the Outflow by up to 57%. However, successful implementation of the ULRP was foreseen to be impeded because of three main reasons: (i) decreasing return flows; (ii) increased Depletion; (iii) the impact of climate change. Decreasing return flows and increasing Depletion were expected due to the introduction of technologies that increase irrigation efficiency, while climate change could decrease future water availability by an estimated 3–15%. We suggest that to reach the intervention target, strategies need to focus on reducing water depletion rather than water withdrawals. The framework can be used to comprehensively assess water-saving strategies, particularly in water-stressed basins.
leporello #6
(2020)
Characterization of a dual BET/HDAC inhibitor for treatment of pancreatic ductal adenocarcinoma
(2020)
Pancreatic ductal adenocarcinoma (PDAC) is resistant to virtually all chemo‐ and targeted therapeutic approaches. Epigenetic regulators represent a novel class of drug targets. Among them, BET and HDAC proteins are central regulators of chromatin structure and transcription, and preclinical evidence suggests effectiveness of combined BET and HDAC inhibition in PDAC. Here, we describe that TW9, a newly generated adduct of the BET inhibitor (+)‐JQ1 and class I HDAC inhibitor CI994, is a potent dual inhibitor simultaneously targeting BET and HDAC proteins. TW9 has a similar affinity to BRD4 bromodomains as (+)‐JQ1 and shares a conserved binding mode, but is significantly more active in inhibiting HDAC1 compared to the parental HDAC inhibitor CI994. TW9 was more potent in inhibiting tumor cell proliferation compared to (+)‐JQ1, CI994 alone or combined treatment of both inhibitors. Sequential administration of gemcitabine and TW9 showed additional synergistic antitumor effects. Microarray analysis revealed that dysregulation of a FOSL1‐directed transcriptional program contributed to the antitumor effects of TW9. Our results demonstrate the potential of a dual chromatin‐targeting strategy in the treatment of PDAC and provide a rationale for further development of multitarget inhibitors.
High glucosylceramides and low anandamide contribute to sensory loss and pain in Parkinson's disease
(2020)
Background: Parkinson's disease (PD) causes chronic pain in two‐thirds of patients, in part originating from sensory neuropathies. The aim of the present study was to describe the phenotype of PD‐associated sensory neuropathy and to evaluate its associations with lipid allostasis, the latter motivated by recent genetic studies associating mutations of glucocerebrosidase with PD onset and severity. Glucocerebrosidase catalyzes the metabolism of glucosylceramides.
Methods: We used quantitative sensory tests, pain ratings, and questionnaires and analyzed plasma levels of multiple bioactive lipid species using targeted lipidomic analyses. The study comprised 2 sets of patients and healthy controls: the first 128 Israeli PD patients and 224 young German healthy controls for exploration, the second 50/50 German PD patients and matched healthy controls for deeper analyses.
Results: The data showed a 70% prevalence of PD pain and sensory neuropathies with a predominant phenotype of thermal sensory loss plus mechanical hypersensitivity. Multivariate analyses of lipids revealed major differences between PD patients and healthy controls, mainly originating from glucosylceramides and endocannabinoids. Glucosylceramides were increased, whereas anandamide and lysophosphatidic acid 20:4 were reduced, stronger in patients with ongoing pain and with a linear relationship with pain intensity and sensory losses, particularly for glucosylceramide 18:1 and glucosylceramide 24:1.
Conclusions: Our data suggest that PD‐associated sensory neuropathies and PD pain are in part caused by accumulations of glucosylceramides, raising the intriguing possibility of reducing PD pain and sensory loss by glucocerebrosidase substituting or refolding approaches. © 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.