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Landwirtschaft ist der Hauptmotor der westafrikanischen Wirtschaft und Kleinbauern liefern fast 70 % des Nahrungsmittelbedarfs. Traditionell wird hauptsächlich Regenfeldbau betrieben, der durch geringen Agrarinput und die Nutzung von einfachen Werkzeugen wie Hacke und Buschmesser gekennzeichnet ist. Die Ernteerträge sind gering und die Bodenfruchtbarkeit sinkt schnell nach einigen Anbaujahren. Infolgedessen werden Wald- und Weidefläche gerodet und die Landdegradation wird beschleunigt. Dies hat direkte Auswirkungen auf die landwirtschaftliche Produktivität und die Ernährungssicherheit der Kleinbauern.
Die vorliegende Arbeit hat sich das Ziel gesetzt, sozio-ökonomische und geo-ökologische Faktoren, die den Landnutzungswandel in zwei Agrarökosystemen der Atakora Gebirgskette steuern, aufzudecken. Schließlich sollen ortsangepasste Maßnahmen vorgeschlagen werden, um die Agrarökosysteme wiederherzustellen und ihre Dienstleistungen für Kleinbauern zu erhalten.
Haushaltsbefragungen und Gruppendiskussionen wurden während Geländeaufenthalten in den Jahren 2014 und 2015 in den Dörfern der beiden Ethnien durchgeführt. Die Landnutzung und ihr Wandel werden über knapp 30 Jahre anhand von Bildern des Satellitensystems LANDSAT aus den Jahren 1987, 2001 und 2015 ausgewertet. Eine überwachte Klassifikation nach dem „Maximum Likelihood“-Klassifkationsalgorithmus und Veränderungs-analysen wurden durchgeführt. Zum Erfassen der Variabilität der Agrarparameter der Böden wurden Bodenprofile nach dem Catena-Prinzip gegraben. Bodenproben wurden aus jedem Horizont genommen. Anschließend wurden einige physische Parameter und die Nährstoffgehalte vom Fachpersonal des bodenkundlichen Labors des Instituts für Physische Geographie (Geowissenschaften) bestimmt.
Innerhalb der knapp letzten dreißig Jahre (1987-2015) ist die natürliche Vegetation bei den beiden Ethnien zugunsten der Landwirtschaft und der bebauten bzw. vegetationsfreien Flächen zurückgegangen. Über die analysierten Zeiträume liegen mehr Flächen bei den Ditamari (47,24%) unter einer negativen Dynamik als bei den Éwé (36,41%). Die Untersuchung der Steuerungsfaktoren des Landnutzungswandels bringt heraus, dass der höhere Anteil an positiv veränderten Flächen bei den Éwé ist nicht durch bessere Landnutzungsstrategien begründet. Vielmehr stellt das Relief der begrenzende Faktor für die Ausdehnung der Ackerflächen und damit die bessere Erhaltung der natürlichen Vegetation bei den Éwé dar.
Die erste Annahme, dass Veränderungen in der Landnutzung die Landdegradation zur Folge haben, wird in den beiden Untersuchungsgebieten bestätigt. Die abnehmende Dichte der Vegetationsdecke begünstigt Prozesse der Flächen-, Rillen- und Rinnenspülung. Zudem werden die ökologischen Bodenfunktionen vermindert. Erscheinungen der Landdegradation bei den Ditamari sind die Ausdehnung von oberflächlich verkrusteten Arealen und die Verbreitung des Unkrautes Striga hermontica. Bei den Éwés tritt eine starke Profilverkürzung der Böden ein und das anstehende Gestein wird an mehreren Stellen freigelegt.
Die zweite Hypothese wird in Hinsicht auf die räumliche und ethnische Differenzierung der Folgen der Landdegradation bestätigt. Allerdings sind nicht, wie vermutet, die Ditamari verletzbarer als die Éwés. Die beiden Ethnien betreiben eine intensive Subsistenzwirtschaft und die Éwé entwickeln weniger Anpassungsstrategien als die Ditamari. Im Hinblick auf die globale Erwärmung könnte die Landdegradation in den beiden Gebieten fortschreiten und die Folgen auf der Landschaft und den Kleinbauern verschärfen. Die Éwé wären, anders als vermutet, verletzbarer als die Ditamari. Eine Fortschreitung der Landdegradation könnte bei den Kleinbauern Éwés langfristig den Zusammenbruch des Agrarökosystemen hervorrufen. Sie könnten langfristig die Grundlage ihrer Existenzsicherung verlieren.
Die Studie zeigt auf, dass traditionell, zurückgezogen lebende Völker wie die Ditamari das Agrarökosystem nachhaltiger bewirtschaften und angesichts der Landdegradation anpassungsfähiger sind als tief umgewandelte Gesellschaften wie die Éwés. Sie bringt heraus, dass Kleinbauern Westafrikas keinesfalls als eine Einheit betrachtet werden sollten. Jede Ethnie ist durch Merkmale gekennzeichnet, die ihre Gestaltung der Landschaft beeinflussen. Diese Vielfältigkeit und Besonderheiten der kleinbäuerlichen Gesellschaften müssen in der Entwicklungszusammenarbeit stärker berücksichtigt werden.
In the 'Golden Age of Antibiotics', between 1940 and 1970, the global pharmaceutical companies discovered many antibiotics, such as cephalosporins, tetracyclines, aminoglycosides, glycopeptides, etc., as well as antifungal and antiparisitic agents. Due to several reasons, e.g. the steady re-discovery of already known NPs and the associated high costs, many pharmaceutical companies have significantly scaled back or totally abandoned their NP discovery programs since the late 20th century. Instead those companies started to focus on drug discovery based on combinatorial synthesis and thereby on the creation of enormous synthetic libraries containing small molecules. Unfortunately, this synthetic approach dealing with the optimization of existing NP or antibiotic has its limitations. As a result, leading pharmaceutical companies are re-conducting NPs research to discover new antimicrobials for the upcoming antimicrobial resistance threat. The Natural Product Center of Excellence, a collaboration between Sanofi-Aventis and Fraunhofer IME, is advancing in this context the discovery and development of novel antimicrobial agents for the treatment of infectious diseases through the testing of Sanofi's microbial extract library and strain collection. The aim of the present PhD thesis was the discovery and isolation of novel antimicrobial compounds with improved activities and/or novel MOAs as potential lead compound for a further drug discovery.
Cardiac trabeculation is one of the essential processes required for the formation of a competent ventricular wall, whereby clusters of ventricular cardiomyocytes (CMs) from a single layer delaminate and expand into the cardiac jelly to form sheet-like projections in the developing heart (Samsa et al., 2013). Several congenital heart diseases are associated with defects in the formation of these trabeculae and lead to embryonic lethality (Jenni et al., 1999; Zhang et al., 2013, Jenni et al., 2001; Towbin 2010). It has been experimentally shown that lack of Nrg1/ErbB2/ErbB4, Angipoetin1/Tie2, EphrinB2/B4, BMP10, or any component of the Notch signaling pathway can cause defective trabeculation. Moreover, changes in blood flow and/or contractility can also affect trabeculation (Samsa et al., 2013). Together, these observations demonstrate that cardiac trabeculation is a highly dynamic and regulated process.
Trabeculation is a morphogenetic process that requires control over cell shape changes and rearrangements, similar to those observed during EMT. Epithelial cells within an epithelium are polarized and establish cell-cell junctions with the neighboring cells (Ikenouchi et al., 2003; Ferrer-vaquer et al., 2010), thus epithelial cell polarity is an important feature to maintain cell shape and tissue structure. During developmental processes such as cell migration and cell division or in disease states epithelial polarity might be disrupted. As a consequence of this alteration, cells lose their tight cell-cell adhesions, undergo cytoskeletal rearrangements, change their shape and gain migratory properties becoming mesenchymal cells (Micalizzi et al., 2010). In epithelial cells, apicobasal polarity is regulated by a conserved set of core complexes, including the PAR, Scribble and Crumbs complexes (Kemphues et al., 1988; Bilder and Perrimon, 2000; Teppas et al., 1984). The polarity proteins composing these complexes interact in a well organized and coordinated-manner creating molecular asymmetry along the apicobasal axis of the cell. In turn, this crosstalk regulates the maturation and stabilization of the junctions between cells and cytoskeleton in order to strengthen cell polarization (Roignot et al., 2013). Amongst the different polarity complex, Crumbs has been shown to be a key regulator of apicobasal polarity during development in both vertebrates and invertebrates (Tepass et al., 1990; Fan et al., 2004).
Here, taking advantage of zebrafish as a model organism, I study in vivo at single cell resolution changes in CM apicobasal polarity during cardiac trabeculation. Moreover, I show which factors regulate CM apicobasal polarity during this process. In addition, I dissect the role of the polarity complex Crumbs in regulating CM junctional rearrangements and the formation of the trabecular network.
A necessary requirement for a pharmacological effect is that a drug molecule tightly interacts with its disease relevant target molecule in the patient. Kinases are regulatory, signal transmitting enzymes and are a large protein family that belongs to the most frequent targets of pharmaceutical industry, as deregulation of kinases has been associated with the development of a variety of diseases, including cancer. In drug discovery, equilibrium binding metrics such as the affinity (Ki, KD) or potency (IC50, EC50) are usually applied for the systematic profiling for potent and selective drug candidates. In recent years, dynamic binding parameters, the drugs association (kon) and dissociation (koff) rates for desired primary-targets and undesired off-targets, were discussed to be better predictors than steady-state affinity per se (KD = koff / kon) for the onset and duration of the drug-target complex in the open in vivo environment and thereby for the therapeutic effect and safety of the drug. It is yet unclear whether and when the binding kinetics parameters can influence drug action in the complex context of pharmacokinetics and pharmacodynamics and how the kinetic rate constants can be optimized rationally. One major obstacle for providing proof for the hypothesis that drug binding kinetics is of importance for drug action is the generation of large and comparable binding kinetic datasets.
The aim of this thesis was the comprehensive analysis of the binding kinetic and affinity parameters of a diverse spectrum of 270 small-molecule kinase inhibitors against a panel of pharmacologically relevant kinases to study the role played by binding kinetics for drug discovery: The generated dataset was utilized to assess the effect of chemical properties on drug binding kinetics, and to evaluate the impact of kinetic rate constants on the success of compounds in the drug discovery pipeline.
Large scale profiling was made possible by a recently developed “kinetic Probe Competition Assay” (kPCA), whose evaluation is based on Motulsky’s and Mahan’s “kinetics of competitive binding” theory. Monte Carlo analyses performed in this dissertation widened the theoretical knowledge of this theory, provided new insights into its limitations and allowed to derive recommendations about how to best design assays. It was demonstrated that kPCA is indeed high-throughput compatible and that it is comparable to other biochemical and biophysical assay formats in terms of precision and accuracy.
Multivariable linear regression for the description of the determined kinase inhibitors’ target binding characteristics (kon or koff or KD) using molecular properties and/or particular kinase-inhibitor interactions as descriptors supported the assumption that molecular properties of compounds might affect binding kinetics, generated new hypothesis about molecular determinants influencing binding kinetic parameters and provided a rational basis for following structure-kinetic relationship studies. Remarkably, the binding kinetic rate constants were better described by the established models than binding affinities.
Interestingly, the systematic, quantitative analysis of kinase inhibitors’ target binding kinetics indicated that a slow dissociation rate for the main target is a feature which is more frequently observed in inhibitors that reached approval or late stage clinical testing than in earlier phases of clinical development. In addition, it was demonstrated that binding kinetics of kinase inhibitors is a better predictor for the time course of target engagement in cells as compared to affinity per se. Furthermore, in some study cases simulations using a standard pharmacokinetics model and a modified model considering the inhibitors binding kinetics lead to different in vivo kinase occupancy time profiles. It was illustrated by simulations how the concept of kinetic selectivity can be applied to turn an unselective compound in equilibrium conditions into a more selective compound in the open in vivo situation, where the thermodynamic equilibrium of drug-target binding is not necessarily reached.
Thus the generated data and models provide evidence for the importance of binding kinetics in drug discovery and represent a valuable resource for future studies in this field.