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Die Fähigkeit der spezifischen und kontextabhängigen zellulären Adaption auf intrinsische und/oder extrinsische Signale ist das Fundament zellulärer Homöostase. Verschiedene Signale werden von Membranrezeptoren oder intrazellulären Rezeptoren erkannt und ermöglichen die molekulare Anpassung zellulärer Prozesse. Komplexe, ineinandergreifende Proteinnetzwerke sind dabei elementar in der Regulation der Zelle. Proteine und deren Funktionen werden dabei nach Bedarf reguliert und unterliegen einem ständigen proteolytischen Umsatz.
Die stimulusabhängige Gentranskription und/oder Proteintranslation nimmt hier eine zentrale Stellung ein, da die zugrundeliegende Maschinerie die Komposition und Funktion der Proteinnetzwerke entsprechend anpassen kann. Zusätzlich zur Regulation der Proteinabundanz werden Proteine posttranslational modifiziert, um deren Eigenschaften rasch zu ändern. Zu posttranslationalen Modifikationen zählen die Ubiquitinierung und/oder Phosphorylierung, welche die Proteinfunktionen hochdynamisch regulieren. Deregulierte Proteinnetzwerke werden oft mit Neurodegeneration und Autoimmun- oder Krebserkrankungen assoziiert. Auch Infektionen mit humanpathogenen Bakterien greifen stark in den Regulierungsprozess von Proteinnetzwerken und deren Funktionen ein. Die zelluläre Homöostase wird dadurch herausgefordert.
Bakterien der Gattung Salmonella sind zoonotische, gramnegative, fakultativ intrazelluläre Pathogene, welche weltweit millionenfach Salmonellen-erkrankungen hervorrufen. Von besonderer Bedeutung ist dabei Salmonella enterica serovar Typhimurium (hiernach Salmonella), welches im Menschen, meist durch mangelnde Hygienemaßnahmen, Gastroenteritis auslöst.
Immunität in Epithelzellen wird über das angeborene Immunsystem vermittelt und dient der Pathogenerkennung und -bekämpfung. Die Toll-like Rezeptoren (TLR) gehören zu den Mustererkennungsrezeptoren (pattern recognition receptors), welche spezifische mikrobielle Strukturen detektieren und eine kontextabhängige zelluläre Antwort generieren. Danger-Rezeptoren erkennen hingegen nicht direkt das Pathogen, sondern zelluläre Perturbationen, welche durch Zellschäden oder bakterielle Invasionen verursacht werden. Die intrinsische Fähigkeit der Wirtszelle, sich gegen Infektionen/Gefahren zu wehren wird dabei als zellautonome Immunität bezeichnet. Dabei nehmen induzierte proinflammatorische Signalwege und zelluläre Stressantworten eine wichtige Stellung ein. Die zelluläre Stressantwort aktiviert unter anderem die selektive Autophagie. Diese kann spezifisch aberrante Organelle, Proteine und invasive Pathogene abbauen. Ein weiterer Stresssignalweg ist die integrated stress response (ISR), welche eine selektive Proteintranslation erlaubt und damit die Auflösung des proteintoxischen Stresses ermöglicht.
Zur Penetration von Epithelzellen benötigt Salmonella ein komplexes System an Virulenzfaktoren, welches die bakterielle Internalisierung und Proliferation in der Wirtszelle ermöglicht. Salmonella nutzt dazu ein Typ-III-Sekretionssystem. Das System sekretiert bakterielle Virulenzfaktoren in die Zelle, sodass eine hochspezifische Modulierung des Wirtes erzwungen wird.
Die Virulenzfaktoren SopE und SopE2 spielen dabei eine Schlüsselrolle, da sie die Pathogenität von Salmonella maßgeblich vermitteln. Durch molekulare Mimikry von Wirts GTP (Guanosintriphosphat) -Austauschfaktoren aktivieren SopE und SopE2 die Rho GTPasen CDC42 und Rac1. GTP-geladenes CDC42 und Rac1 wiederum aktivieren das Aktinzytoskelett und stimulieren die Polymerisierung von Aktinfilamenten über den Arp2/3-Komplex an der Invasionsstelle. Das Pathogen wird dadurch in ein membranumhülltes Vesikel, die sogenannte Salmonella-containing Vakuole (SCV), aufgenommen. Die SCV stellt eine protektive, replikative, intrazelluläre Nische des Pathogens dar und wird permanent durch verschiedene Virulenzfaktoren moduliert.
Im Allgemeinen führt die Aktivierung von Mustererkennungsrezeptoren und Danger-Rezeptoren also zu einer zellulären Stressantwort und Entzündungsreaktion, wodurch es zur Bekämpfung der Infektion kommt. Inflammatorische Signalwege werden meist über den zentralen Transkriptionsfaktor NF-κB (nuclear factor 'kappa-light-chain-enhancer' of activated B-cells) vermittelt. NF-κB bewirkt die Induktion von proinflammatorischen Effektoren und Stressgenen. Zellautonome Immunität wird zusätzlich durch antibakterielle Autophagie ermöglicht, wobei Salmonella selektiv über das lysosomale System abgebaut werden. Das bakterielle Typ-III-Sekretionssystem verursacht an einigen wenigen SCVs Membranschäden, sodass Salmonella das Wirtszytosol penetrieren. Zytosolische Bakterien werden dabei spezifisch ubiquitiniert. Dies erlaubt die Erkennung durch die Autophagie-Maschinerie.
In der vorliegenden Arbeit wurde die zellautonome Immunität von Epithelzellen während einer akuten Salmonella Infektion durch quantitative Proteomik untersucht...
5-Lipoxygenase (5-LO) catalysis is positively regulated by Ca2+ ions and phospholipids that both act via the N-terminal C2-like domain of 5-LO. Previously, we have shown that 1-oleoyl-2-acetylglycerol (OAG) functions as an agonist for human polymorphonuclear leukocytes (PMNL) in stimulating 5-LO product formation. Here we have demonstrated that OAG directly stimulates 5-LO catalysis in vitro. In the absence of Ca2+ (chelated using EDTA), OAG strongly and concentration-dependently stimulated crude 5-LO in 100,000 x g supernatants as well as purified 5-LO enzyme from PMNL. Also, the monoglyceride 1-O-oleyl-rac-glycerol and 1,2-dioctanoyl-sn-glycerol were effective, whereas various phospholipids did not stimulate 5-LO. However, in the presence of Ca2+, OAG caused no stimulation of 5-LO. Also, phospholipids or cellular membranes abolished the effects of OAG. As found previously for Ca2+, OAG renders 5-LO activity resistant against inhibition by glutathione peroxidase activity, and this effect of OAG is reversed by phospholipids. Intriguingly, a 5-LO mutant lacking tryptophan residues (Trp-13, -75, and -102) important for the binding of the 5-LO C2-like domain to phospholipids was not stimulated by OAG. We conclude that OAG directly stimulates 5-LO by acting at a phospholipid binding site located within the C2-like domain.
The SARS-CoV-2 (SCoV-2) virus is the causative agent of the ongoing COVID-19 pandemic. It contains a positive sense single-stranded RNA genome and belongs to the genus of Betacoronaviruses. The 5′- and 3′-genomic ends of the 30 kb SCoV-2 genome are potential antiviral drug targets. Major parts of these sequences are highly conserved among Betacoronaviruses and contain cis-acting RNA elements that affect RNA translation and replication. The 31 nucleotide (nt) long highly conserved stem-loop 5a (SL5a) is located within the 5′-untranslated region (5′-UTR) important for viral replication. SL5a features a U-rich asymmetric bulge and is capped with a 5′-UUUCGU-3′ hexaloop, which is also found in stem-loop 5b (SL5b). We herein report the extensive 1H, 13C and 15N resonance assignment of SL5a as basis for in-depth structural studies by solution NMR spectroscopy.
Although overexpression and hyperactivity of protein kinases are causative for a wide range of human cancers, protein kinase inhibitors currently approved as cancer drugs address only a limited number of these enzymes. To identify new chemotypes addressing alternative protein kinases, the basic structure of a known PLK1/VEGF-R2 inhibitor class was formally dissected and reassembled. The resulting 7-(2-anilinopyrimidin-4-yl)-1-benzazepin-2-ones were synthesized and proved to be dual inhibitors of Aurora A kinase and VEGF receptor kinases. Crystal structures of two representatives of the new chemotype in complex with Aurora A showed the ligand orientation in the ATP binding pocket and provided the basis for rational structural modifications. Congeners with attached sulfamide substituents retained Aurora A inhibitory activity. In vitro screening of two members of the new kinase inhibitor family against the cancer cell line panel of the National Cancer Institute (NCI) showed antiproliferative activity in the single-digit micromolar concentration range in the majority of the cell lines.
Persistent and, in particular, neuropathic pain is a major healthcare problem with still insufficient pharmacological treatment options. This triggered research activities aimed at finding analgesics with a novel mechanism of action. Results of these efforts will need to pass through the phases of drug development, in which experimental human pain models are established components e.g. implemented as chemical hyperalgesia induced by capsaicin. We aimed at ranking the various readouts of a human capsaicin–based pain model with respect to the most relevant information about the effects of a potential reference analgesic. In a placebo‐controlled, randomized cross‐over study, seven different pain‐related readouts were acquired in 16 healthy individuals before and after oral administration of 300 mg pregabalin. The sizes of the effect on pain induced by intradermal injection of capsaicin were quantified by calculating Cohen's d. While in four of the seven pain‐related parameters, pregabalin provided a small effect judged by values of Cohen's d exceeding 0.2, an item categorization technique implemented as computed ABC analysis identified the pain intensities in the area of secondary hyperalgesia and of allodynia as the most suitable parameters to quantify the analgesic effects of pregabalin. Results of this study provide further support for the ability of the intradermal capsaicin pain model to show analgesic effects of pregabalin. Results can serve as a basis for the designs of studies where the inclusion of this particular pain model and pregabalin is planned.
Organ-on-a-chip technology has the potential to accelerate pharmaceutical drug development, improve the clinical translation of basic research, and provide personalized intervention strategies. In the last decade, big pharma has engaged in many academic research cooperations to develop organ-on-a-chip systems for future drug discoveries. Although most organ-on-a-chip systems present proof-of-concept studies, miniaturized organ systems still need to demonstrate translational relevance and predictive power in clinical and pharmaceutical settings. This review explores whether microfluidic technology succeeded in paving the way for developing physiologically relevant human in vitro models for pharmacology and toxicology in biomedical research within the last decade. Individual organ-on-a-chip systems are discussed, focusing on relevant applications and highlighting their ability to tackle current challenges in pharmacological research.
Polo-like kinase 1 (PLK1) is a crucial regulator of cell cycle progression. It is established that the activation of PLK1 depends on the coordinated action of Aurora-A and Bora. Nevertheless, very little is known about the spatiotemporal regulation of PLK1 during G2, specifically, the mechanisms that keep cytoplasmic PLK1 inactive until shortly before mitosis onset. Here, we describe PLK1 dimerization as a new mechanism that controls PLK1 activation. During the early G2 phase, Bora supports transient PLK1 dimerization, thus fine-tuning the timely regulated activation of PLK1 and modulating its nuclear entry. At late G2, the phosphorylation of T210 by Aurora-A triggers dimer dissociation and generates active PLK1 monomers that support entry into mitosis. Interfering with this critical PLK1 dimer/monomer switch prevents the association of PLK1 with importins, limiting its nuclear shuttling, and causes nuclear PLK1 mislocalization during the G2-M transition. Our results suggest a novel conformational space for the design of a new generation of PLK1 inhibitors.
Meat adulteration is a global problem which undermines market fairness and harms people with allergies or certain religious beliefs. In this study, a novel framework in which a one-dimensional convolutional neural network (1DCNN) serves as a backbone and a random forest regressor (RFR) serves as a regressor, named 1DCNN-RFR, is proposed for the quantitative detection of beef adulterated with pork using electronic nose (E-nose) data. The 1DCNN backbone extracted a sufficient number of features from a multichannel input matrix converted from the raw E-nose data. The RFR improved the regression performance due to its strong prediction ability. The effectiveness of the 1DCNN-RFR framework was verified by comparing it with four other models (support vector regression model (SVR), RFR, backpropagation neural network (BPNN), and 1DCNN). The proposed 1DCNN-RFR framework performed best in the quantitative detection of beef adulterated with pork. This study indicated that the proposed 1DCNN-RFR framework could be used as an effective tool for the quantitative detection of meat adulteration.
Computational oral absorption models, in particular PBBM models, provide a powerful tool for researchers and pharmaceutical scientists in drug discovery and formulation development, as they mimic and can describe the physiologically processes relevant to the oral absorption. PBBM models provide in vivo context to in vitro data experiments and allow for a dynamic understanding of in vivo drug disposition that is not typically provided by data from standard in vitro assays. Investigations using these models permit informed decision-making, especially regarding to formulation strategies in drug development. PBBM models, but can also be used to investigate and provide insight into mechanisms responsible for complex phenomena such as food effect in drug absorption. Although there are obviously still some gaps regarding the in silico construction of the gastrointestinal environment, ongoing research in the area of oral drug absorption (e.g. the UNGAP, AGE-POP and InPharma projects) will increase knowledge and enable improvement of these models.
PBBM can nowadays provide an alternative approach to the development of in vitro–in vivo correlations. The case studies presented in this thesis demonstrate how PBBM can address a mechanistic understanding of the negative food effect and be used to set clinically relevant dissolution specification for zolpidem immediate release tablets. In both cases, we demonstrated the importance of integrating drug properties with physiological variables to mechanistically understand and observe the impact of these parameters on oral drug absorption.
Various complex physiological processes are initiated upon food consumption, which can enhance or reduce a drug’s dissolution, solubility, and permeability and thus lead to changes in drug absorption. With improvements in modeling and simulation software and design of in vitro studies, PBBM modeling of food effects may eventually serve as a surrogate for clinical food effect studies for new doses and formulations or drugs. Furthermore, the application of these models may be even more critical in case of compounds where execution of clinical studies in healthy volunteers would be difficult (e.g., oncology drugs).
In the fourth chapter we have demonstrated the establishment of the link between biopredictive in vitro dissolution testing (QC or biorelevant method) PBBM coupled with PD modeling opens the opportunity to set truly clinically relevant specifications for drug release. This approach can be extended to other drugs regardless of its classification according to the BCS.
With the increased adoption of PBBM, we expect that best practices in development and verification of these models will be established that can eventually inform a regulatory guidance. Therefore, the application of Physiologically Based Biopharmaceutical Modelling is an area with great potential to streamline late-stage drug development and impact on regulatory approval procedures.
Non-alcoholic steatohepatitis (NASH) - a hepatic manifestation of the metabolic syndrome - is a multifactorial disease with alarming global prevalence. It involves steatosis, inflammation and fibrosis in the liver, thus demanding multiple modes of action for robust therapeutic efficacy. Aiming to fuse complementary validated anti-NASH strategies in a single molecule, we have designed and systematically optimized a scaffold for triple activation of farnesoid X receptor (FXR), peroxisome proliferator-activated receptor (PPAR) α and PPARδ. Pilot profiling of the resulting triple modulator demonstrated target engagement in native cellular settings and in mice, rendering it a suitable tool to probe the triple modulator concept in vivo. In DIO NASH in mice, the triple agonist counteracted hepatic inflammation and reversed hepatic fibrosis highlighting the potential of designed polypharmacology in NASH.