Stochastic foundations of dynamic trade and labor market models

This dissertation consists of three self-contained papers that are related to two main topics. In particular, the first and third studies focus on labor market modeling, whereas the second essay presents a dynamic international trade setup.rnrnIn Chapter "Expenses on Labor Market Reforms during Transitional Dynamics", we investigate the arising costs of a potential labor market reform from a government point of view. To analyze various effects of unemployment benefits system changes, this chapter develops a dynamic model with heterogeneous employed and unemployed workers.rn rnIn Chapter "Endogenous Markup Distributions", we study how markup distributions adjust when a closed economy opens up. In order to perform this analysis, we first present a closed-economy general-equilibrium industry dynamics model, where firms enter and exit markets, and then extend our analysis to the open-economy case.rn rnIn Chapter "Unemployment in the OECD - Pure Chance or Institutions?", we examine effects of aggregate shocks on the distribution of the unemployment rates in OECD member countries.rn rnIn all three chapters we model systems that behave randomly and operate on stochastic processes. We therefore exploit stochastic calculus that establishes clear methodological links between the chapters.

How different is water crystallization from polymer crystallization under confinement?

Ziel der vorliegenden Dissertation war es, Einblicke in das Kristallisationsverhalten weicher Materie („soft matter“), wie verschiedener Polymere oder Wasser, unter räumlicher Einschränkung („confinement“) zu erlangen. Dabei sollte untersucht werden, wie, weshalb und wann die Kristallisation in nanoporösen Strukturen eintritt. Desweiteren ist Kristallisation weicher Materie in nanoporösen Strukturen nicht nur aus Aspekten der Grundlagenforschung von großem Interesse, sondern es ergeben sich zahlreiche praktische Anwendungen. Durch die gezielte Steuerung der Kristallinität von Polymeren könnten somit Materialien mit verschiendenen mechanischen und optischen Eigenschaften erhalten werden. Desweiteren wurde auch räumlich eingeschränktes Wasser untersucht. Dieses spielt eine wichtige Rolle in der Molekularbiologie, z.B. für das globuläre Protein, und als Wolkenkondensationskeime in der Atmosphärenchemie und Physik. Auch im interstellaren Raum ist eingeschränktes Wasser in Form von Eispartikeln anzutreffen. Die Kristallisation von eingeschränktem Wasser zu verstehen und zu beeinflussen ist letztlich auch für die Haltbarkeit von Baumaterialien wie etwa Zement von großem Interesse.rnUm dies zu untersuchen wird Wasser in der Regel stark abgekühlt und das Kristallisationsverhalten in Abhängigkeit des Volumens untersucht. Dabei wurde beobachtet, dass Mikro- bzw. Nanometer große Volumina erst ab -38 °C bzw. -70 °C kristallisieren. Wasser unterliegt dabei in der Regel dem Prozess der homogenen Nukleation. In der Regel gefriert Wasser aber bei höheren Temperaturen, da durch Verunreinigungen eine vorzeitige, heterogene Nukleation eintritt.rnDie vorliegende Arbeit untersucht die sachdienlichen Phasendiagramme von kristallisierbaren Polymeren und Wasser unter räumlich eingeschränkten Bedingungen. Selbst ausgerichtetes Aluminiumoxid (AAO) mit Porengrößen im Bereich von 25 bis 400 nm wurden als räumliche Einschränkung sowohl für Polymere als auch für Wasser gewählt. Die AAO Nanoporen sind zylindrisch und parallel ausgerichtet. Außerdem besitzen sie eine gleichmäßige Porenlänge und einen gleichmäßigen Durchmesser. Daher eignen sie sich als Modelsystem um Kristallisationsprozesse unter wohldefinierter räumlicher Einschränkung zu untersuchen.rnEs wurden verschiedene halbkristalline Polymere verwendet, darunter Poly(ethylenoxid), Poly(ɛ-Caprolacton) und Diblockcopolymere aus PEO-b-PCL. Der Einfluss der Porengröße auf die Nukleation wurde aus verschiedenen Gesichtspunkten untersucht: (i) Einfluss auf den Nukleationmechanismus (heterogene gegenüber homogener Nukleation), (ii) Kristallorientierung und Kristallinitätsgrad und (iii) Zusammenhang zwischen Kristallisationstemperatur bei homogener Kristallisation und Glasübergangstemperatur.rnEs konnte gezeigt werden, dass die Kristallisation von Polymeren in Bulk durch heterogene Nukleation induziert wird und das die Kristallisation in kleinen Poren hauptsächlich über homogene Nukleation mit reduzierter und einstellbarer Kristallinität verläuft und eine hohe Kristallorientierung aufweist. Durch die AAOs konnte außerdem die kritische Keimgröße für die Kristallisation der Polymere abgeschätzt werden. Schließlich wurde der Einfluss der Polydispersität, von Oligomeren und anderen Zusatzstoffen auf den Nukleationsmechanismus untersucht.rn4rnDie Nukleation von Eis wurde in den selben AAOs untersucht und ein direkter Zusammenhang zwischen dem Nukleationstyp (heterogen bzw. homogen) und der gebildeten Eisphase konnte beobachtet werden. In größeren Poren verlief die Nukleation heterogen, wohingegen sie in kleineren Poren homogen verlief. Außerdem wurde eine Phasenumwandlung des Eises beobachtet. In den größeren Poren wurde hexagonales Eis nachgewiesen und unter einer Porengröße von 35 nm trat hauptsächlich kubisches Eis auf. Nennenswerter Weise handelte es sich bei dem kubischem Eis nicht um eine metastabile sondern eine stabile Phase. Abschließend wird ein Phasendiagramm für räumlich eingeschränktes Wasser vorgeschlagen. Dieses Phasendiagramm kann für technische Anwendungen von Bedeutung sein, so z.B. für Baumaterial wie Zement. Als weiteres Beispiel könnten AAOs, die die heterogene Nukleation unterdrücken (Porendurchmesser ≤ 35 nm) als Filter für Reinstwasser zum Einsatz kommen.rnNun zur Anfangs gestellten Frage: Wie unterschiedlich sind Wasser und Polymerkristallisation voneinander unter räumlicher Einschränkung? Durch Vergleich der beiden Phasendiagramme kommen wir zu dem Schluss, dass beide nicht fundamental verschieden sind. Dies ist zunächst verwunderlich, da Wasser ein kleines Molekül ist und wesentlich kleiner als die kleinste Porengröße ist. Wasser verfügt allerdings über starke Wasserstoffbrückenbindungen und verhält sich daher wie ein Polymer. Daher auch der Name „Polywasser“.

Optische Experimente zur Untersuchung der Nichtgleichgewichtsdynamik kolloidaler Suspensionen

In der vorliegenden Forschungsarbeit wird die Konkurrenz von Kristallisation und Verglasung in metastabilen kolloidalen Hart-Kugel(HK)-Modellsystemen mit dynamischer und zeitaufgelöster statischer Lichtstreuung untersucht. Durch gleichzeitige Messungen mit beiden Methoden an derselben Probe gelang es, mit hoher Genauigkeit und aussagekräftiger Statistik nachzuweisen, dass in beiden Systemklassen eine starke Korrelation der strukturellen und dynamischen Eigenschaften vorliegt und diese Korrelation zu quantifizieren. Ein zentraler Teil der Arbeit bestand in dem Aufbau einer geeigneten Lichtstreuanlage mit der erstmalig Messungen der Dynamik und der Struktur simultan an derselben nicht-ergodischen Probe durchgeführt werden konnten. Für die dynamische Lichtstreuung wurde ein Flächendetektor (CCD-Kamera) verwendet. In Kombination mit einer speziellen Detektionsoptik ermöglicht dies, die gleichzeitige Detektion von Streulicht aus unterschiedlichen Probenbereichen (Subensembles). Damit kann gleichzeitig die Dynamik in unterschiedlichen Subensembles mit einer Auflösung von 15,8x15,8µm2 untersucht werden. Die Lichtstreuanlage wurde ausführlich charakterisiert und ihre korrekte Funktionsweise mithilfe von Vergleichsmessungen an etablierten Lichtstreuanlagen bestätigt. Die zeitliche Entwicklung der Dynamik und der Struktur von metastabilen Proben wurde unterhalb, am und oberhalb des Glasübergangs quantifiziert. Dabei zeigte das untersuchte kolloidale HK-Modellsystem alle typischen Eigenschaften eines HK-Systems. Die kristallisierenden Proben zeigten das etablierte zweistufige Kristallisationsszenario mit entsprechender Kristallisationskinetik und die Glasproben zeigten das erwartete Alterungsverhalten. Bei dem zweistufigen Kristallisationsszenario kommt es zuerst zur Nukleation einer metastabilen Zwischenphase von sogenannten Precursorn. In einer zweiten Stufe bilden sich Kristallite innerhalb dieser Precursor. Durch Vergleich zwischen kristallisierenden und verglasenden Proben konnte auch während der Verglasung die Bildung von Precursorn beobachtet werden. Die Korrelation zwischen der Anzahl an Precursorn und der Partikeldynamik legt die Vermutung nahe, dass das immer noch unverstandene Phänomen der Alterung von Gläsern mit der Bildung von Precursorn zusammenhängt. Verhinderte Kristallisation führt zu einer starken Verlangsamung der Partikeldynamik. Die Partikeldynamik einer Probe am Glasübergang zeigt, dass die Probe vor Einsetzen der Kristallisation eine glasartige Dynamik aufwies. Dies legt die Vermutung nahe, dass einkomponentige kolloidale HK-Gläser den Gleichgewichtszustand (Kristall) auf langen Zeitskalen erreichen können. Durch die Untersuchung der Partikeldynamik von metastabilen Proben in einzelnen Subensembles konnte eine heterogene Verteilung der Partikeldynamik nachgewiesen werden. Es existieren Bereiche, in denen die Partikeldynamik schneller oder langsamer ist als in anderen Bereichen. Gleichzeitig zeigen die Messungen der strukturellen Eigenschaften, dass metastabile Proben auch heterogen bezüglich ihrer Struktur sind. Mithilfe dieser Messungen konnte die zeitliche Entwicklung des Anteils an langsamen Partikeln und des Anteils an Partikeln innerhalb von Objekten höherer Ordnung (Precursor/Kristallite) bestimmt werden. Es zeigte sich eine direkte Korrelation zwischen dem Anteil an langsamen Partikeln und dem Anteil an Partikeln in Objekten höherer Ordnung. Die Untersuchung der Dynamik und der Struktur in einzelnen Subensembles lieferte einen weiteren Hinweis darauf, dass Subensembles, in denen eine stärker ausgeprägte strukturelle Ordnung vorliegt, auch bevorzugt eine langsamere Partikeldynamik aufweisen.

Analyzing spatio-temporal patterns of genuine cross-correlations

In multivariate time series analysis, the equal-time cross-correlation is a classic and computationally efficient measure for quantifying linear interrelations between data channels. When the cross-correlation coefficient is estimated using a finite amount of data points, its non-random part may be strongly contaminated by a sizable random contribution, such that no reliable conclusion can be drawn about genuine mutual interdependencies. The random correlations are determined by the signals' frequency content and the amount of data points used. Here, we introduce adjusted correlation matrices that can be employed to disentangle random from non-random contributions to each matrix element independently of the signal frequencies. Extending our previous work these matrices allow analyzing spatial patterns of genuine cross-correlation in multivariate data regardless of confounding influences. The performance is illustrated by example of model systems with known interdependence patterns. Finally, we apply the methods to electroencephalographic (EEG) data with epileptic seizure activity.

The Search for Low Energy Conformational Families of Small Peptides: Searching for Active Conformations of Small Peptides in the Absence of a Known Receptor

Breast cancer is the most common cancer among women. Tamoxifen is the preferred drug for estrogen receptor-positive breast cancer treatment, yet many of these cancers are intrinsically resistant to tamoxifen or acquire resistance during treatment. Therefore, scientists are searching for breast cancer drugs that have different molecular targets. Previous work revealed that 8-mer and cyclic 9-mer peptides inhibit breast cancer in mouse and rat model systems, interacting with an unknown receptor, while peptides smaller than eight amino acids did not inhibit breast cancer. We have shown that the use of replica exchange molecular dynamics predicts structure and dynamics of active peptides, leading to the discovery of smaller peptides with full biological activity. These simulations identified smaller peptide analogs with a conserved turn, a β-turn formed in the larger peptides. These analogs inhibit estrogen-dependent cell growth in a mouse uterine growth assay, a test showing reliable correlation with human breast cancer inhibition. We outline the computational methods that were tried and used with the experimental information that led to the successful completion of this research.

Molecular mechanisms of muscle plasticity with exercise

The skeletal muscle phenotype is subject to considerable malleability depending on use. Low-intensity endurance type exercise leads to qualitative changes of muscle tissue characterized mainly by an increase in structures supporting oxygen delivery and consumption. High-load strength-type exercise leads to growth of muscle fibers dominated by an increase in contractile proteins. In low-intensity exercise, stress-induced signaling leads to transcriptional upregulation of a multitude of genes with Ca2+ signaling and the energy status of the muscle cells sensed through AMPK being major input determinants. Several parallel signaling pathways converge on the transcriptional co-activator PGC-1α, perceived as being the coordinator of much of the transcriptional and posttranscriptional processes. High-load training is dominated by a translational upregulation controlled by mTOR mainly influenced by an insulin/growth factor-dependent signaling cascade as well as mechanical and nutritional cues. Exercise-induced muscle growth is further supported by DNA recruitment through activation and incorporation of satellite cells. Crucial nodes of strength and endurance exercise signaling networks are shared making these training modes interdependent. Robustness of exercise-related signaling is the consequence of signaling being multiple parallel with feed-back and feed-forward control over single and multiple signaling levels. We currently have a good descriptive understanding of the molecular mechanisms controlling muscle phenotypic plasticity. We lack understanding of the precise interactions among partners of signaling networks and accordingly models to predict signaling outcome of entire networks. A major current challenge is to verify and apply available knowledge gained in model systems to predict human phenotypic plasticity.

Phosphocreatine interacts with phospholipids, affects membrane properties and exerts membrane-protective effects

A broad spectrum of beneficial effects has been ascribed to creatine (Cr), phosphocreatine (PCr) and their cyclic analogues cyclo-(cCr) and phospho-cyclocreatine (PcCr). Cr is widely used as nutritional supplement in sports and increasingly also as adjuvant treatment for pathologies such as myopathies and a plethora of neurodegenerative diseases. Additionally, Cr and its cyclic analogues have been proposed for anti-cancer treatment. The mechanisms involved in these pleiotropic effects are still controversial and far from being understood. The reversible conversion of Cr and ATP into PCr and ADP by creatine kinase, generating highly diffusible PCr energy reserves, is certainly an important element. However, some protective effects of Cr and analogues cannot be satisfactorily explained solely by effects on the cellular energy state. Here we used mainly liposome model systems to provide evidence for interaction of PCr and PcCr with different zwitterionic phospholipids by applying four independent, complementary biochemical and biophysical assays: (i) chemical binding assay, (ii) surface plasmon resonance spectroscopy (SPR), (iii) solid-state (31)P-NMR, and (iv) differential scanning calorimetry (DSC). SPR revealed low affinity PCr/phospholipid interaction that additionally induced changes in liposome shape as indicated by NMR and SPR. Additionally, DSC revealed evidence for membrane packing effects by PCr, as seen by altered lipid phase transition. Finally, PCr efficiently protected against membrane permeabilization in two different model systems: liposome-permeabilization by the membrane-active peptide melittin, and erythrocyte hemolysis by the oxidative drug doxorubicin, hypoosmotic stress or the mild detergent saponin. These findings suggest a new molecular basis for non-energy related functions of PCr and its cyclic analogue. PCr/phospholipid interaction and alteration of membrane structure may not only protect cellular membranes against various insults, but could have more general implications for many physiological membrane-related functions that are relevant for health and disease.

Kinetic assessment of persistent halogenated xenobiotics in cell culture models: comparison of mono- and poly-halogenated compounds

We evaluated the suitability of single and multiple cell type cultures as model systems to characterise cellular kinetics of highly lipophilic compounds with potential ecotoxicological impact. Confluent mono-layers of human skin fibroblasts, rat astrocytoma C6 cells, non-differentiated and differentiated mouse 3T3 cells were kept in culture medium supplemented with 10% foetal calf serum. For competitive uptake experiments up to four different cell types, grown on glass sectors, were exposed for 3h to (14)C-labelled model compounds, dissolved either in organic solvents or incorporated into unilamellar lecithin liposomes. Bromo-, or chloro-benzenes, decabromodiphenylether (DBP), and dichlorodiphenyl ethylene (DDE) were tested in rather high concentration of 20 microM. Cellular toxicity was low. Compound levels were related to protein, DNA, and triglyceride contents. Cellular uptake was fast and dependent on physico-chemical properties of the compounds (lipophilicity, molecular size), formulation, and cell type. Mono-halogenated benzenes showed low and similar uptake levels (=low accumulation compounds). DBP and DDE showed much higher cellular accumulations (=high accumulation compounds) except for DBP in 3T3 cells. Uptake from liposomal formulations was mostly higher than if compounds were dissolved in organic solvents. The extent of uptake correlated with the cellular content of triglycerides, except for DBP. Uptake competition between different cell types was studied in a sectorial multi-cell culture model. For low accumulation compounds negligible differences were found among C6 cells and fibroblasts. Uptake of DDE was slightly and that of DBP highly increased in fibroblasts. Well-defined cell culture systems, especially the sectorial model, are appropriate to screen for bioaccumulation and cytotoxicity of (unknown) chemical entities in vitro.

Platelet collagen receptors: a new target for inhibition?

Collagen is a major component of extracellular matrix and a wide variety of types exist. Cells recognise collagen in different ways depending on sequence and structure. They can recognise predominantly primary sequence, they may require triple-helical structure or they can require fibrillar structures. Since collagens are major constituents of the subendothelium that determine the thrombogenicity of the injured or pathological vessel wall, a major role is induction of platelet activation and aggregation as the start of repair processes. Platelets have at least two direct and one indirect (via von Willebrand factor) receptors for collagen, and collagen has specific recognition motifs for these receptors. These receptors and recognition motifs are under intensive investigation in the search for possible methods to control platelet activation in vivo. A wide range of proteins has been identified and, in part, characterised from both haematophageous insects and invertebrates but also from snake venoms that inhibit platelet activation by collagen or induce platelet activation via collagen receptors on platelets. These will provide model systems to test the effect of inhibition of specific collagen-platelet receptor interactions for both effectiveness as well as for side effects and should provide assay systems for the development of small molecule inhibitors. Since platelet inhibitors for long-term prophylaxis of cardiovascular diseases are still in clinical trials there are many unanswered questions about long-term effects both positive and negative. The major problem which still has to be definitively solved about these alternative approaches to inhibition of platelet activation is whether they will show advantages in terms of dose-response curves while offering decreased risks of bleeding problems. Preliminary studies would seem to suggest that this is indeed the case.

Inducible endothelial cell-specific gene expression in transgenic mouse embryos and adult mice

Utilizing both the TET-OFF and TET-ON systems in combination with transcriptional control elements of the Tie-2 gene, we have established a series of transgenic activator and responder mice for TET-regulated endothelial cell-specific transgene expression in double transgenic mouse embryos and in adult mice. TET-regulated expression of LacZ reporter genes could be achieved in virtually all endothelia in mid gestation stage mouse embryos. In contrast in adult mice, using the very same Tie-2 tTA activator mouse strain, we observed striking differences of TET-induced gene expression from various inducible expression constructs in different vascular beds. Non-endothelial expression was never detected. The prominent differences in completeness of TET-induced endothelial expression highlight the still underestimated critical role of the responder mouse lines for uniform TET-induced gene expression in heterogeneous cell populations such as endothelial cells. Interestingly, in double transgenic mice inducibly expressing several different adhesion molecules, no adverse effects were observed even though these proteins were robustly expressed on endothelial cells in adult tissues. These transgenic model systems provide versatile tools for the TET-regulated manipulation of endothelial cell-specific gene expression in the entire embryonic vasculature and distinct vascular beds in adult mice.

Effect of mesh distortion on the accuracy of high order vorticity-velocity CFD approaches

The numerical solution of the incompressible Navier-Stokes equations offers an alternative to experimental analysis of fluid-structure interaction (FSI). We would save a lot of time and effort and help cut back on costs, if we are able to accurately model systems by these numerical solutions. These advantages are even more obvious when considering huge structures like bridges, high rise buildings or even wind turbine blades with diameters as large as 200 meters. The modeling of such processes, however, involves complex multiphysics problems along with complex geometries. This thesis focuses on a novel vorticity-velocity formulation called the Kinematic Laplacian Equation (KLE) to solve the incompressible Navier-stokes equations for such FSI problems. This scheme allows for the implementation of robust adaptive ordinary differential equations (ODE) time integration schemes, allowing us to tackle each problem as a separate module. The current algortihm for the KLE uses an unstructured quadrilateral mesh, formed by dividing each triangle of an unstructured triangular mesh into three quadrilaterals for spatial discretization. This research deals with determining a suitable measure of mesh quality based on the physics of the problems being tackled. This is followed by exploring methods to improve the quality of quadrilateral elements obtained from the triangles and thereby improving the overall mesh quality. A series of numerical experiments were designed and conducted for this purpose and the results obtained were tested on different geometries with varying degrees of mesh density.

Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes

Research in autophagy continues to accelerate,(1) and as a result many new scientists are entering the field. Accordingly, it is important to establish a standard set of criteria for monitoring macroautophagy in different organisms. Recent reviews have described the range of assays that have been used for this purpose.(2,3) There are many useful and convenient methods that can be used to monitor macroautophagy in yeast, but relatively few in other model systems, and there is much confusion regarding acceptable methods to measure macroautophagy in higher eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers of autophagosomes versus those that measure flux through the autophagy pathway; thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from fully functional autophagy that includes delivery to, and degradation within, lysosomes (in most higher eukaryotes) or the vacuole (in plants and fungi). Here, we present a set of guidelines for the selection and interpretation of the methods that can be used by investigators who are attempting to examine macroautophagy and related processes, as well as by reviewers who need to provide realistic and reasonable critiques of papers that investigate these processes. This set of guidelines is not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to verify an autophagic response.

Predicting the Mechanical Properties of Carbon-Based Materials Using Molecular Dynamics

The development of innovative carbon-based materials can be greatly facilitated by molecular modeling techniques. Although molecular modeling has been used extensively to predict elastic properties of materials, modeling of more complex phenomenon such as fracture has only recently been possible with the development of new force fields such as ReaxFF, which is used in this work. It is not fully understood what molecular modeling parameters such as thermostat type, thermostat coupling, time step, system size, and strain rate are required for accurate modeling of fracture. Selection of modeling parameters to model fracture can be difficult and non-intuitive compared to modeling elastic properties using traditional force fields, and the errors generated by incorrect parameters may be non-obvious. These molecular modeling parameters are systematically investigated and their effects on the fracture of well-known carbon materials are analyzed. It is determined that for coupling coefficients of 250 fs and greater do not result in substantial differences in the stress-strain response of the materials using any thermostat type. A time step of 0.5 fs of smaller is required for accurate results. Strain rates greater than 2.2 ns-1 are sufficient to obtain repeatable results with slower strain rates for the materials studied. The results of this study indicate that further refinement of the Chenoweth parameter set is required to accurately predict the mechanical response of carbon-based systems. The ReaxFF has been used extensively to model systems in which bond breaking and formation occur. In particular ReaxFF has been used to model reactions of small molecules. Some elastic and fracture properties have been successfully modeled using ReaxFF in materials such as silicon and some metals. However, it is not clear if current parameterizations for ReaxFF are able to accurately reproduce the elastic and fracture properties of carbon materials. The stress-strain response of a new ReaxFF parameterization is compared to the previous parameterization and density functional theory results for well-known carbon materials. The new ReaxFF parameterization makes xv substantial improvements to the predicted mechanical response of carbon materials, and is found to be suitable for modeling the mechanical response of carbon materials. Finally, a new material composed of carbon nanotubes within an amorphous carbon (AC) matrix is modeled using the ReaxFF. Various parameters that may be experimentally controlled are investigated such as nanotube bundling, comparing multi-walled nanotube with single-walled nanotubes, and degree of functionalization of the nanotubes. Elastic and fracture properties are investigated for the composite systems and compared to results of pure-nanotube and pure-AC models. It is found that the arrangement of the nanotubes and degree of crosslinking may substantially affect the properties of the systems, particularly in the transverse directions.

Structural characterization and reliable biomechanical assessment of integrative cartilage repair

Structural and functional characterization of integrative cartilage repair in controlled model systems can play a key role in the development of innovative strategies to improve the long-term outcome of many cartilage repair procedures. In this work, we first developed a method to reproducibly generate geometrically defined disk/ring cartilage composites and to remove outgrown fibrous layers which can encapsulate cartilaginous tissues during culture. We then used the model system to test the hypothesis that such fibrous layers lead to an overestimation of biomechanical parameters of integration at the disk/ring interface. Transmission electron microscopy images of the composites after 6 weeks of culture indicated that collagen fibrils in the fibrous tissue layer were well integrated into the collagen network of the cartilage disk and ring, whereas molecular bridging between opposing disk/ring cartilage surfaces was less pronounced and restricted to regions with narrow interfacial regions (< 2 microm). Stress-strain profiles generated from mechanical push-out tests for composites with the layers removed displayed a single and distinct peak, whereas profiles for composites with the layers left intact consisted of multiple superimposed peaks. As compared to composites with removed layers, composites with intact layers had significantly higher adhesive strengths (161+/-9 vs. 71+/-11 kPa) and adhesion energies (15.0+/-0.7 vs. 2.7+/-0.4 mJ/mm2). By combining structural and functional analyses, we demonstrated that the outgrowing tissue formed during in vitro culture of cartilaginous specimens should be eliminated in order to reliably quantify biomechanical parameters related to integrative cartilage repair.

Homeopathic treatment of Arabidopsis thaliana plants infected with Pseudomonas syringae

Homeopathic basic research is still in the screening phase to identify promising model systems that are adapted to the needs and peculiarities of homeopathic medicine and pharmacy. We investigated the potential of a common plant-pathogen system, Arabidopsis thaliana infected with the virulent bacteria Pseudomonas syringae, regarding its response towards a homeopathic treatment. A. thaliana plants were treated with homeopathic preparations before and after infection. Outcome measure was the number of P. syringae bacteria in the leaves of A. thaliana, assessed in randomized and blinded experiments. After a screening of 30 homeopathic preparations, we investigated the effect of Carbo vegetabilis 30x, Magnesium phosphoricum 30x, Nosode 30x, Biplantol (a homeopathic complex remedy), and Biplantol 30x on the infection rate in five or six independent experiments in total. The screening yielded significant effects for four out of 30 tested preparations. In the repeated experimental series, only the homeopathic complex remedy Biplantol induced a significant reduction of the infection rate (p = 0.01; effect size, d = 0.38). None of the other four repeatedly tested preparations (Carbo vegetabilis 30x, Magnesium phosphoricum 30x, Nosode 30x, Biplantol 30x) yielded significant effects in the overall evaluation. This phytopathological model yielded a small to medium effect size and thus might be of interest for homeopathic basic research after further improvement. Compared to Bion (a common SAR inducer used as positive control), the magnitude of the treatment effect of Biplantol was about 50%. Thus, homeopathic formulations might have a potential for the treatment of plant diseases after further optimization. However, the ecological impact should be investigated more closely before widespread application.