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Heparin is an anticoagulant drug. It is important in the treatment of deep vein thrombosis,pulmonary embolism and during surgeries. Heparin-induced thrombocytopenia (HIT) is a severe adverse reaction caused by the formation of ultralarge complexes of platelet factor 4 (PF4) with unfractionated heparin (UFH). It can lead to limb loss or fatal events like stroke, myocardial infarction or pulmonary embolism. HIT has an incidence of about 3% in patients receiving anticoagulative heparin treatment. PF4 is a tetrameric protein, released from the α-granules of platelets upon activation. PF4 is known to form antigenic complexes with UFH accompanied by structural changes of PF4. In this thesis, the size and size distribution of PF4 and PF4/heparin complexes were analyzed using asymmetrical flow field-flow-fractionation (AF4), photon correlation spectroscopy (PCS) and atomic force microscopy (AFM). PF4 tends to form auto-aggregates and to adsorb to different surfaces, including regenerated cellulose, polyethersulfone, quartz and glass. The aggregates are less pronounced in solutions at isotonic NaCl concentration. Arginine and Tween 20 were identified as possible ingredients to hinder the auto-aggregation of PF4. Also, it is shown by combining circular dichroism (CD) spectroscopy, atomic force microscopy (AFM) and isothermal titration calorimetry (ITC) with UFH and defined chain length (16-, 8-, 6-, 5-mer) heparins that structural changes (i.e., increase in β-sheets) alone are not sufficient to induce antigenicity. While UFH, 16-, 8-, and 6-mer heparins all induced an increase in the antiparallel β-sheet content to > 30% (as determined by CD spectroscopy), complex antigenicity as measured by anti-PF4/heparin antibody binding in an enzyme-linked immunosorbent assay (EIA) was only induced by UFH and 16-mer heparin. Fondaparinux (5-mer heparin), which forms in vitro non-antigenic complexes with PF4, did not induce structural changes of PF4. Interestingly, the structural changes induced by antigenic UFH and 16-mer heparin but not by non-antigenic shorter heparins were reversible at higher heparin concentrations. Furthermore, the complexes formed by PF4 with longer heparins were larger than those formed with shorter heparins as shown by atomic force microscopy (AFM). UFH, HO16 and HO08 are able to form ultralarge multimolecular complexes with PF4. ITC data indicated strong electrostatic interactions and energetically unfavorable conformational changes of PF4 with longer heparins, while for the short heparins, favorable conformational changes in the structure of PF4 are induced. This explains the reversibility of the structural changes seen for UFH and HO16 upon addition of an over-saturating amount of heparin. Finally, using differential scanning calorimetry (DSC) the thermal stability of PF4 and PF4/heparin complexes was assessed. Despite its tendency to form auto-aggregates, PF4 is a heat-stable protein. This stability is, length dependently, even increased in complex with heparins. This work shows important differences in the binding between PF4 and heparins of different chain length and might be relevant for the understanding of other biological functions of heparins (e.g., involvement in allergic and inflammatory reactions).
In course of the recent results from Wendelstein 7-X, stellarators are on the brink for assessing their maturity as a fusion reactor. To this end, stellarator specific transport regimes need detailed exploration both with appropriate systematic experimental investigations and models. A way to enhance the efficiency of this process is seen in an systematic evaluation of existing experimental data. We propose appropriate tools developed in information theory for examining large datasets. Information entropy calculations, that have proven to assist the systematic assessment of datasets in many other scientific fields, are used for novelty detection.
Potentially, as a first use-case of this holistic process, this thesis attempts to link and to develop approaches to examine the stellarator specific core-electron-root-confinement (CERC) regime. The specific interest for CERC emerges from the behavior of the radial electric field. While ion-root conditions exhibit negative radial electric fields, CERC’s positive field in the very core of fusion grade plasmas adds an outward thermodynamic force to high-Z impurities and could add to potential actuators to control impurity influx as to be examined for full-metal wall operation in large stellarators. Recently, this feature received revived intent for reactor scale stellarators.
Also, in this work, parameter regions close to the transition from ion-root to CERC are
examined. At lower rotational transform (a characteristic feature of the magnetic field confining fusion grade plasmas), transitions were detected when the plasma current evolved. As in smaller stellarators, it is concluded that low-order rationals and magnetic islands are related to the transitions. This is widely supported by extensive MHD simulations which finally provide indications for the role of zonal flow oscillations. As one of the outcomes, gyrokinetic instabilities are seen interacting for the first time with the neoclassical mechanisms in experiments.
In order to cope with the vast number of highly sampled spatio-temporal plasma data, new
techniques for novelty detection are required. Fundamental prerequisites for the detailed
physics investigations were the feasibility study of entropy-based data analysis techniques, and their adaptation to detect previously unrevealed transition mechanisms. These tools were applied to multivariate bulk plasma emissivity data, which allowed the exploration of large parameter spaces and provided insights in the spatio-temporal dynamics of CERC transitions.
In this manner, this research highlights the feasibility of information flow measure analysis in fusion studies. Applications of different entropy-based complexity measures are explored and this work sheds light on the capabilities, added value and limitations of these techniques. This investigation presents the integration of information flow measures to gain deeper understanding of plasma transport phenomena, by providing an approach to fast systematic data mining suited for real-time analysis. This work paves the way for further development and implementation of information-theoretic methods for plasma data analysis.
In summary, this research highlights the gained insight on CERC transitions, while showcasing the feasibility, added values and limitations of information flow measure analysis for fusion studies, to induce theory based analysis revealing new insights in fundamental, stellarator-specific transport mechanisms.