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In this paper we present first-order reversal curve (FORC) diagrams of ensembles of three-dimensional Co3Fe nanostructures as 2 × 2 arrays of nano-cubes and nano-trees. The structures are fabricated and investigated by an advanced platform of focused electron beam induced deposition combined with high-resolution detection of magnetic stray fields using a home-built micro-Hall magnetometer based on an AlGaAs/GaAs heterostructure. The experimental FORC diagrams are compared to macrospin simulations for both geometries at different angles of the externally applied magnetic field. The measured FORC diagrams are in good agreement with the simulated ones and reflect non-uniform magnetization reversal dominated by multi-vortex states within, and strong magnetic coupling between, the building blocks of our nanostructures. Thus, a FORC analysis of small arrays of 3D magnetic nanostructures provides more detailed insights into the mechanisms of magnetization reversal beyond standard major hysteresis loop measurements.
The p38α mitogen-activated protein kinase (MAPK) is activated through stress stimuli such as heat shock or hypoxia. In the nucleus, p38α modulates the activity of other kinases and transcription factors, a process that regulates the expression of specific target genes, most importantly pro-inflammatory cytokines. Dysregulation of p38α therefore plays a major role in the development of inflammatory diseases such as rheumatoid arthritis. Despite many years of intensive research, no p38 small-molecule inhibitors have been approved yet. Several inhibitor design strategies have been reported, leading to >100-fold selective compounds for α/β over the γ and δ isoforms. Achieving such a selectivity among the two structurally most related α and β isoforms, however, remains a challenging task. Targeting an inactive DFG-out conformation offers another strategy for the development of potent kinase inhibitors (type-II), exemplified by the BCR/ABL-inhibitor Imatinib. Achieving selectivity with type-II binders is challenging, because many kinases can adopt an inactive DFG-out conformation. This is exemplified by the p38 type-II inhibitor BIRB-796, which exhibits picomolar on-target affinity but only a poor kinome-wide selectivity. A potent and selective type-II chemical probe for p38α/β was still lacking at the start of this thesis.
The promising hit VPC-00628, was chosen for a combinatorial synthetic approach to develop a type-II chemical probe. The studies covered the optimization of the hinge-binding head group, the hydrophobic region I and the DFG-out deep pocket of the lead compound VPC-00628. Selectivity for the p38α and p38β isoforms was monitored during the optimization process, which identified several inhibitors with favorable isoform selectivity, providing valuable insights into the potential of isoform-selective inhibitor design for p38. A potent and highly selective p38 MAPK probe (SR-318) was discovered, which showed IC50 values in the low nanomolar range in HEK293T cells. An unusual P-loop conformation induced upon binding of SR-318 to p38α contributed most likely to the impressive selectivity profile within the kinome that surpassed both the parent compound and BIRB-796. A negative control compound, SR-321, was developed, to distinguish between on-target effects and non-specific effects due to cross-reactivity with other cellular proteins. Studies of the metabolic stability in human liver microsomes revealed a high stability of the compounds, with only a small amount of metabolites formed over several hours. Compound SR-318 also exhibited a good in vitro efficacy, quantitatively reducing the LPS-stimulated TNF-α release in whole blood. Taken together, SR-318 is a highly potent and selective type-II p38α/β chemical probe, which will help to gain a better understanding of the catalytic and non-catalytic functions of these key signaling kinases in physiology and pathology.
The next studies focused on the exploration of the highly dynamic allosteric back pocket of p38 MAPK, and allosteric BIRB-796 derived compounds for targeting the αC- and DFG-out pockets were synthesized. Kinase activities of allosteric pyrazole-urea fragments were analyzed against a comprehensive set of 47 diverse kinases by differential scanning fluorimetry (DSF), revealing that BIRB-796 off-targets remain a problem when targeting this back-pocket binding motif. Revisiting the recently published compound MCP-081, which combines the allosteric part of BIRB-796 with the active-site directed part of VPC-00628, showed that it displays a clean selectivity profile in our kinase panel. Because the potency of MCP-081 was slightly reduced compared with VPC-00628 and the allosteric tert-butyl pyrazole moiety seemed suboptimal, a set of VPC-00628 derivatives for targeting the αC-out pocket region was synthesized. Through structure-guided extension of the terminal amide of VPC-00628 toward this allosteric site, the potent and selective compound SR-43 was developed, which showed excellent cellular activity on p38 MAPK in NanoBRETTM assays (IC50 [p38α/β] = 14.0 ± 0.1/ 16.8 ± 0.1 nM). SR-43 showed a dose-dependent inhibition of activating phosphorylation of p38 in HCT-15 cells as well as inhibition of phosphorylation of p38 downstream substrates MK2 and Hsp27. In addition, SR-43 induced an anti-inflammatory response by blocking TNF-α release in whole blood and displayed a high metabolic stability. Selectivity profiling of SR-43 revealed a narrow selectivity for additional targets such as the discoidin domain receptor kinases (DDR1/2). DDR kinases play a central role in fibrotic disorders, such as renal and pulmonale fibrosis, atherosclerosis and different forms of cancer. Since selective and potent inhibitors for these important therapeutic targets are largely lacking and the existing inhibitors are of low scaffold diversity, the next study focused on the optimization of SR-43 toward DDR1/2 kinase inhibition. The synthetic work covered the optimization of the hinge-binding head group and the allosteric part of SR-43 toward DDR1/2 kinase inhibition. These studies provided novel insights into the P-loop folding process of p38 MAPK and how targeting of non-conserved amino acids affects inhibitor selectivity. Importantly, they led to the development of a selective dual DDR/p38 inhibitor probe, SR-302, with picomolar affinity for DDR2. SR-302 was efficient in vitro and showed a destabilizing effect on the surface adhesion protein E-cadherin in epithelial cells. In summary, SR-302 and its negative control SR-301 provide a valuable tool set for studying the phenotypic effects of DDR1/2 signaling, e.g., in cancer cell lines.
Guanosine triphosphate (GTP) cyclohydrolase I (GCH1) catalyzes the conversion of GTP to dihydroneopterin triphosphate (H2NTP), the initiating step in the biosynthesis of tetrahydrobiopterin (BH4). Besides other roles, BH4 functions as cofactor in neurotransmitter biosynthesis. The BH4 biosynthetic pathway and GCH1 have been identified as promising targets to treat pain disorders in patients. The function of mammalian GCH1s is regulated by a metabolic sensing mechanism involving a regulator protein, GCH1 feedback regulatory protein (GFRP). GFRP binds to GCH1 to form inhibited or activated complexes dependent on availability of cofactor ligands, BH4 and phenylalanine, respectively. We determined high-resolution structures of human GCH1−GFRP complexes by cryoelectron microscopy (cryo-EM). Cryo-EM revealed structural flexibility of specific and relevant surface lining loops, which previously was not detected by X-ray crystallography due to crystal packing effects. Further, we studied allosteric regulation of isolated GCH1 by X-ray crystallography. Using the combined structural information, we are able to obtain a comprehensive picture of the mechanism of allosteric regulation. Local rearrangements in the allosteric pocket upon BH4 binding result in drastic changes in the quaternary structure of the enzyme, leading to a more compact, tense form of the inhibited protein, and translocate to the active site, leading to an open, more flexible structure of its surroundings. Inhibition of the enzymatic activity is not a result of hindrance of substrate binding, but rather a consequence of accelerated substrate binding kinetics as shown by saturation transfer difference NMR (STD-NMR) and site-directed mutagenesis. We propose a dissociation rate controlled mechanism of allosteric, noncompetitive inhibition.
A novel thiazol‐based ratiometric dye for the detection of local pH values is synthesized, and its properties are characterized by a combination of optical spectroscopy, solid‐state NMR and DNP (dynamic nuclear polarization)‐enhanced solid‐state NMR. This novel dye covers a completely different sensitivity range with its acidic pKa value of 3.5 compared to other established dyes for ratiometric pH detection, such as SNARF. The dye is grafted to the surfaces of mesoporous silica materials, which enables, for the first time, direct in situ measurements of the local pH values in silica mesopores by a simple UV‐vis spectroscopy method. The obtained results, which are in good agreement with previous indirect techniques, indicate a background electrolyte‐dependent pKa shift of at least one pH unit under nanoconfined conditions compared to the pKa of the dye in bulk solution.
CO2 has been electrochemically reduced to the intermediate formate, which was subsequently used as sole substrate for the production of the polymer polyhydroxybutyrate (PHB) by the microorganism Cupriavidus necator. Faradaic efficiencies (FE) up to 54 % have been reached with Sn‐based gas‐diffusion electrodes in physiological electrolyte. The formate containing electrolyte can be used directly as drop‐in solution in the following biological polymer production by resting cells. 56 mg PHB L−1 and a ratio of 34 % PHB per cell dry weight were achieved. The calculated overall FE for the process was as high as 4 %. The direct use of the electrolyte as drop‐in media in the bioconversion enables simplified processes with a minimum of intermediate purification effort. Thus, an optimal coupling between electrochemical and biotechnological processes can be realized.
Cell-free expression represents an attractive method to produce large quantities of selectively labeled protein for NMR applications. Here, cell-free expression was used to label specific regions of the growth hormone secretagogue receptor (GHSR) with NMR-active isotopes. The GHSR is a member of the class A family of G protein-coupled receptors. A cell-free expression system was established to produce the GHSR in the precipitated form. The solubilized receptor was refolded in vitro and reconstituted into DMPC lipid membranes. Methionines, arginines, and histidines were chosen for 13C-labeling as they are representative for the transmembrane domains, the loops and flanking regions of the transmembrane α-helices, and the C-terminus of the receptor, respectively. The dynamics of the isotopically labeled residues was characterized by solid-state NMR measuring motionally averaged 1H-13C dipolar couplings, which were converted into molecular order parameters. Separated local field DIPSHIFT experiments under magic-angle spinning conditions using either varying cross polarization contact times or direct excitation provided order parameters for these residues showing that the C-terminus was the segment with the highest motional amplitude. The loop regions and helix ends as well as the transmembrane regions of the GHSR represent relatively rigid segments in the overall very flexible receptor molecule. Although no site resolution could be achieved in the experiments, the previously reported highly dynamic character of the receptor concluded from uniformly 13C labeled receptor samples could be further specified by this segmental labeling approach, leading to a more diversified understanding. of the receptor dynamics under equilibrium conditions
Background: Physiologically-based population pharmacokinetic modeling (popPBPK) coupled with in vitro biopharmaceutics tools such as biorelevant dissolution testing can serve as a powerful tool to establish virtual bioequivalence and set clinically relevant specifications. One of several applications of popPBPK modeling is in the emerging field of virtual bioequivalence (VBE), where it can be used to streamline drug development by implementing model-informed formulation design and to inform regulatory decision-making e.g., with respect to evaluating the possibility of extending BCS-based biowaivers beyond BCS Class I and III compounds in certain cases.
Methods: In this study, Naproxen, a BCS class II weak acid was chosen as the model compound. In vitro biorelevant solubility and dissolution experiments were performed and the resulting data were used as an input to the PBPK model, following a stepwise workflow for the confirmation of the biopharmaceutical parameters. The naproxen PBPK model was developed by implementing a middle-out approach and verified against clinical data obtained from the literature. Once confidence in the performance of the model was achieved, several in vivo dissolution scenarios, based on model-based analysis of the in vitro data, were used to simulate clinical trials in healthy adults. Inter-occasion variability (IOV) was also added to critical physiological parameters and mechanistically propagated through the simulations. The various trials were simulated on a “worst/best case” dissolution scenario and average bioequivalence was assessed according to Cmax, AUC and tmax.
Results: VBE results demonstrated that naproxen products with in vitro dissolution reaching 85% dissolved within 90 minutes would lie comfortably within the bioequivalence limits for Cmax and AUC. Based on the establishment of VBE, a dissolution “safe space” was designed and a clinically relevant specification for naproxen products was proposed. The interplay between formulation-related and drug-specific PK parameters (e.g., t1/2) to predict the in vivo performance was also investigated.
Conclusion: Over a wide range of values, the in vitro dissolution rate is not critical for the clinical performance of naproxen products and therefore naproxen could be eligible for BCS-based biowaivers based on in vitro dissolution under intestinal conditions. This approach may also be applicable to other poorly soluble acidic compounds with long half-lives, providing an opportunity to streamline drug development and regulatory decision-making without putting the patient at a risk.
Hepatocyte nuclear factor 4α (HNF4α) is a ligand-sensing transcription factor and presents as a potential drug target in metabolic diseases and cancer. In humans, mutations in the HNF4α gene cause maturity-onset diabetes of the young (MODY), and the elevated activity of this protein has been associated with gastrointestinal cancers. Despite the high therapeutic potential, available ligands and structure–activity relationship knowledge for this nuclear receptor are scarce. Here, we disclose a chemically diverse collection of orthogonally validated fragment-like activators as well as inverse agonists, which modulate HNF4α activity in a low micromolar range. These compounds demonstrate the druggability of HNF4α and thus provide a starting point for medicinal chemistry as well as an early tool for chemogenomics.
The layer‐by‐layer (LbL) method is a well‐established method for the growth of surface‐attached metal–organic frameworks (SURMOFs). Various experimental parameters, such as surface functionalization or temperature, have been identified as essential in the past. In this study, inspired by these recent insights regarding the LbL SURMOF growth mechanism, the impact of reactant solutions concentration on LbL growth of the Cu2(F4bdc)2(dabco) SURMOF (F4bdc2−=tetrafluorobenzene‐1,4‐dicarboxylate and dabco=1,4‐diazabicyclo‐[2.2.2]octane) in situ by using quartz‐crystal microbalance and ex situ with a combination of spectroscopic, diffraction and microscopy techniques was investigated. It was found that number, size, and morphology of MOF crystallites are strongly influenced by the reagent concentration. By adjusting the interplay of nucleation and growth, we were able to produce densely packed, yet thin films, which are highly desired for a variety of SURMOF applications.
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.