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- De Gruyter (22)
1. "Sole or Whole" – Quilting the Racialized Subject Calgary feminist and scholar Aruna Srivastava tackles the complex question of what it means to be "mixed-race/mixedblood/halfbreed/mestizo/hybrid/hyphenated?" in her editorial to Hyphe Nation (1996). In response to her question, this study of contemporary African-Canadian literature suggests that mixed-race Canadians are often constructed as the Other in Canadian society. In consequence, constructions of "racial hybridity" in African-Canadian literature usually aim at carving out a space that doesnt marginalize "racial" mixing but eviscerates restrictive Manichean constructions of identity in order to promulgate concepts of wholeness and self-definition. In consequence, African-Canadian mixed-race writers create hybrid identities that are infinite, multilayered, fragmented and yet whole. They reflect the processes of shifting, overlapping and re-creation in the process of creating identity and can hence be read as representations of complex, de-central, non-hierarchical identities. They are quilting multidimensional racialized subjects. 2. Signifying the In-Between: "Race", "Racial Hybridity" and Questions of Belonging "Race" is not a biological category. Rather it represents a social construction predicated upon the interpretation of difference. It was designed to establish, justify or perpetuate hegemonic social structures and is adherent to the principle of white supremacy. Contemporary "race" theory often neglects the experiences of racially mixed individuals because it fails to offer flexible models of identity in which bi- and multiracial people find themselves represented. This thesis argues in favor of a poetics of difference that accepts and recognizes the heterogeneity of subjectivities while taking into consideration the various dimensions of class, gender, sexuality and ethnicity. Accordingly, constructions of racial hybridity in contemporary African-Canadian literature demonstrate that racism must be acknowledged as an ideology in which people believe and upon which people act. Thus identities often bear the stamp of various histories of resistance and domination, while tackling the question of belonging and re-defining Canadianness. 3. African-Canadian Borderlands References to interracial contacts and the existence of bi- and multiracial people have been omitted from the official founding narratives of the Canadian nation. African-Canadian writers have therefore been successful chroniclers of the past and filled blanks in Canadian historiography in order to shed light on hitherto repressed or erased knowledge. Part of this process is also the inscription of the mixed-race experience into Canadas past. Along this line, bi- and multiracial Canadians often criticize that the state-proclaimed policy of multiculturalism fails to take their manifold racial and ethnic subjectivities into account. 4. "From Sole to Whole" – African-Canadian Mixed-Race Poetics Mixed-race characters in US-American literature often appear in the literary motif of the "tragic mulatto" and it is often implicitly suggested that the bi- or multiracial protagonist is categorized as black. In contrast, African-Canadian constructions of racial hybridity less frequently adhere to the stereotype of the "tragic mulatto" and leave more space for employing alternative modes of racial and ethnic identification. Canadian writers of mixed descent have created a mixed-race poetics that calls attention to contexts, relationships, intersections and wholes. They encourage sites of inclusiveness, incessant shifting and discontinuity in the process of constructing identities. Nevertheless, modes of identification among racially hybrid writers in Canada vary, ranging from detesting whiteness to claiming a Black Nationalist stance. In general, however, they support the idea of fluid and flexible identities. The answer to the initial question of Srivastava is hence given by a vast variety of African-Canadian subject positions. An essentially "black" or "racially mixed" Canadian subject does not exist. Instead, constructions of racial hybridity in African-Canadian literature offer a holistic view of identity and aim at re-conceptualizing the various senses of self and community in Canada. This strategy provides a significant means of self-empowerment and self-reclamation – making racially mixed African-Canadians "whole" instead of "sole".
Until today most social, historical and cultural studies of the American postwar era have contributed to the myth of a relatively homogeneous society and culture. Even though they understood these years as a turning point for modern American society, they failed to encompass the polyvalence and heterogeneity of American society. Focussing mostly on white and middle class males, these studies formed a onedimensional picture of sociocultural conformity, a picture in which issues of gender, race and class were largely absent. Crossing the boundaries of feminist, cultural and historical studies this dissertation starts from identifying the gaps and problems in current academic research. Those sociopolitical structures that affected non-white women are then juxtaposed with the dominant postwar discourse of womanhood. The literary texts by women of color show them grappling with the conflicting demands of socioecnomic realities and pervasive role definitions. On the surface these literary interventions seemed to submit to dominant ideologies while opposing them at the same time. Thus they are both anticipatory and antagonistic. The dissent and criticism in writings by women of color seem to have become a catalyst for the deep social transformations in the following decades.
The thesis is about ideological change of political parties and the way parties gather information, learn by updating their beliefs and ultimately make "rational choices". Analyzing 1451 policy moves of 137 parties in 22 OECD-countries from 1950 to 2013 it is a story about rational learning, about emulating other parties abroad and chasing public opinion. Yet, the "internal life" of a party conditions the effects when activists have some influence over the formation of party policy. As volunteers facing a scarcity of time and resources, members of the party on the ground have a different information horizon, and may arrive at the opposite decision where to move than party elites which (can) rest their decision on a broader set of information resources. In some parties the party on the ground thus constitutes an "internal wall of resistance" to the strategy party elites would choose, if they were free from constraints.
Microbial infections can be either caused by a single species or complex multi-species consortia. One of the most prominent opportunistic human pathogens leading to mono- or mixed-species infections is the Gram-negative bacterium Pseudomonas aeruginosa. Understanding the molecular basis of its adaptation to infection-related stresses is an essential prerequisite for the prevention and treatment of P. aeruginosa infections. We therefore employed state-of-the-art proteomics approaches to elucidate the molecular adaptation mechanisms of P. aeruginosa to infection-related conditions. Moreover, structure, function and interaction of complex microbial consortia containing P. aeruginosa and causing catheter-associated urinary tract infections were investigated by metaproteomics analyses. Our investigations revealed that the adaptation of P. aeruginosa during infection is either based on gene expression changes caused by environmental signal integration or by gene mutations leading to a selective advantage in a particular host environment. In study I, investigating the proteome response of P. aeruginosa biofilms to the clinical relevant antibiotic ciprofloxacin, global changes in the protein profile were observed. Ciprofloxacin induced the expression of proteins involved in the Lex-induced SOS-response, drug efflux pumps and gene products of the ciprofloxacin-responsive prophage cluster and repressed the expression of porins and DNA-binding proteins. In study II the transcriptome and proteome of two clonal P. aeruginosa lineages during long-term colonization of cystic fibrosis (CF) patient’s lungs were analyzed. Point mutations in global regulator genes, i.e. retS, gacS, and gacA, were identified by genomic sequencing. Inactivation of RetS, found two years after the initial colonization, induced the expression of genes involved in chronic infections and coding for the type 6-secretion system (T6SS). Additional mutations in the GacS/GacA two-component regulatory system (TCS) were found to repress the expression of T6SS proteins and to induce the expression of proteins belonging to the type 3-secretion system (T3SS). In study III we elucidated the niche-specific adaptation of P. aeruginosa isolates from different infection sites by investigating their protein expression patterns and glucose metabolic fluxes. We could show that isolates from the urinary tract express a higher amount of proteins involved in the acquisition of micronutrients (i.e. iron) and carbohydrates compared to isolates from the CF lung. In study IV 16S rDNA sequencing and metaproteomics were employed to demonstrate that the investigated CAUTI-related biofilms consisted of two to five different species with one or two species dominating the mixed community. Following this line of research, we investigated in study V structure and function of a biofilm of a long-term catheterized patient, which was predominantly composed of P. aeruginosa and Morganella morganii, but also contained a minor proportion of the obligate anaerobe Bacteroides sp.. The comparison of in vivo and in vitro protein expression profiles of P. aeruginosa and M. morganii indicated that iron and carbohydrates are the major growth-limiting factors in the bladder. These results indicate different nutritional strategies of the two pathogens in the bladder environment. A comparison of urinary protein profiles of healthy persons and catheterized patients suggested that the human innate immune system is induced by CAUTIs. Moreover, numerous proteins involved in nutritional immunity, e.g. iron-, calcium- and magnesium-binding proteins, were found to be more abundant in the urine of catheterized patients. A follow-up (meta)proteomics study (study VI) aiming at the elucidation of interspecies interactions during multi-species infections indicated that the urease-positive uropathogen Proteus mirabilis induces the precipitation of metal ions by urine alkalization and thereby limits the availability of these important micronutrients for other co-infecting bacteria. This limitation seems to be sensed by the P. aeruginosa PhoP-PhoQ two-component system (TCS) leading to an increased resistance to antimicrobial peptides and biofilm-forming capacity of the pathogen. Also during co-cultivation of P. aeruginosa with Staphylococcus aureus a slight increase in the expression of the PhoP-PhoQ TCS and the alkaline protease could be observed (study VII). In study VIII a combined metagenomics and metaproteomics approach was employed to investigate structure and function of the lichen Lobaria pulmonaria, a complex consortium consisting of a fungus, an algal partner, cyanobacteria, and a highly diverse bacterial microbiome. The results presented in this work contribute to a better understanding of the manifold and complex bacterial adaptation mechanisms to infection-related and environmental stress and thereby foster the development of novel treatment and prevention strategies.
ZusammenfassungDigitales Lernen in religiösen Bildungsprozessen befasst sich besonders mit medienethischen Fragestellungen. Sexting und Cybermobbing werden als riskantes Mediennutzungsverhalten von Jugendlichen bewertet. Im Rahmen der schulischen Präventionsarbeit wird daher vor allem die Schuldfrage thematisiert. Die besondere Herausforderung für die Religionspädagogik besteht in der Wahrnehmung der Schamerfahrungen für die Identitätsentwicklung von Mädchen und Jungen in den erweiterten sozialen Räumen der digitalen Kommunikationsmittel. In Anlehnung an die Schamethik von Klaas Huizing und der medienweltorientierten Religionsdidaktik von Manfred Pirner verfolgt eine evangelische Mediennutzungsethik der Schamsensibilisierung (Kristian Fechtner) das Ziel der Kompetenzentwicklung von Mitgefühl und Widerstandsfähigkeit.
Growth, ageing and atherosclerotic plaque development alter the biomechanical forces acting on the vessel wall. However, monitoring the detailed local changes in wall shear stress (WSS) at distinct sites of the murine aortic arch over time has been challenging. Here, we studied the temporal and spatial changes in flow, WSS, oscillatory shear index (OSI) and elastic properties of healthy wildtype (WT, n = 5) and atherosclerotic apolipoprotein E-deficient (Apoe−/−, n = 6) mice during ageing and atherosclerosis using high-resolution 4D flow magnetic resonance imaging (MRI). Spatially resolved 2D projection maps of WSS and OSI of the complete aortic arch were generated, allowing the pixel-wise statistical analysis of inter- and intragroup hemodynamic changes over time and local correlations between WSS, pulse wave velocity (PWV), plaque and vessel wall characteristics. The study revealed converse differences of local hemodynamic profiles in healthy WT and atherosclerotic Apoe−/− mice, and we identified the circumferential WSS as potential marker of plaque size and composition in advanced atherosclerosis and the radial strain as a potential marker for vascular elasticity. Two-dimensional (2D) projection maps of WSS and OSI, including statistical analysis provide a powerful tool to monitor local aortic hemodynamics during ageing and atherosclerosis. The correlation of spatially resolved hemodynamics and plaque characteristics could significantly improve our understanding of the impact of hemodynamics on atherosclerosis, which may be key to understand plaque progression towards vulnerability.
Manipulating and utilizing plasmas becomes a more and more important task in various research fields of physics and in industrial developments. Especially in nowadays spacerelevant applications there are different ideas to modify plasmas concerning particular tasks.
One major point of interest is the ability to influence plasmas using magnetic fields. To study the underlying physical effects that were achieved by these magnetic fields for both scenarios Particle-in-Cell simulations were done. Two examples are discussed in this thesis.
The first example originates from an experiment performed by the European Space Agency ESA in collaboration with the German Space Agency DLR. To verify the possibility of heat-flux reduction by magnetic fields onto the thermal protection system of a space vehicle a simplified experiment on earth was developed. Most of the heat that is created during re-entry comes from compression of the air ahead of the hypersonic vehicle, as a result of the basic thermodynamic relation between temperature and pressure. The shock front, which builds up in front of the vehicle deflects most of the heat and prohibits the surface of the space vehicle from direct contact with the maximum flux. State of the art spacecrafts use highly developed materials like ceramics to handle the enormous heat. An attractive approach to reduce costs is to use magnetic fields for heat-flux reduction. This would allow the use of cheaper materials and thus reduce costs for the whole space mission. A partially-ionized Argon beam was used to create a certain heat-flux onto a target. The main finding of the experimental campaign was a large mitigation of heat-flux by applying a dipole-like magnetic field. The Particle-in-Cell method was able to reproduce experimental observations like the heat-flux reduction. An additionally implemented optical diagnostics module allowed to confirm the results of the spectroscopy done during the experiment. The underlying effect that is responsible for the heat-flux reduction was identified as a coupling between the modified plasma and the dominating neutral flux component. The plasma, that is guided towards the target, act as a shield in front of the target surface for arriving neutrals. These neutrals are slowed down by charge-exchange collisions. Furthermore the magnetic field induces an increased turbulent transport that is also needed to reach a reduction in heat-ux. The turbulent transport was also obtained by three-dimensional Direct Simulation Monte Carlo simulations. Unfortunately, such source driven turbulence can not be expected in space, so that a heat flux reduction in real space applications is questionable. Nevertheless, other effects like the induced turbulence by the rotating vehicle can compensate the missing source driven effect.
The second scenario in which a magnetic field is used to modify the heat flux of a plasma is the operation of the pulsed cathodic arc thruster. The same Particle-in-Cell code was used to simulate a typical pulse of this newly developed thruster of Neumann Space Pty Ltd. The typical behavior of the thruster could be reproduced numerically. The thrust is mainly produced by fast electrons. These electrons are accelerated by electric fields as a result of a plasma-beam instability. This plasma-beam instability was verified by a phase space diagnostics for the electrons. To demonstrate the influence of the magnetic field a simulation of the cathodic arc thruster without magnetic field and one with magnetic field were compared. It was shown that the use of a magnetic field leads to a ten times larger thrust by directing the heat ux. The resulting narrow plume is an additional Advantage of the particle guiding magnetic field. This narrowness of the plume reduces the danger of interaction with other components of the space vehicle.
Both scenarios demonstrate the different capabilities for electromagnetic fields to manipulate plasmas and especially the corresponding heat-flux with respect to certain tasks. The possibilities range from reducing the heat-flux onto a target to maximizing the thrust by directing the heat-ux. This thesis demonstrates that simulations are a great tool to support experiments and to deliver an improved physics understanding. They help to identify the basic physics principles in the different systems, because they can deliver information not accessible to experiments.
In particular, a better understanding of the influence of electromagnetic fields on the heat-flux distribution in space-relevant applications was obtained. This can be the basis for further simulation-guided optimization, e.g. for the design of more effective cathodic arc thrusters. Here, the goal is to minimize costs for prototypes by replacing the hardware by virtual prototypes in the simulations. This allows to test basic design ideas in advance and get more highly-optimized designs at a fraction of time and costs.
Over the last decades, thyroid hormone metabolites (THMs) received marked attention as it has been demonstrated that they are bioactive compounds. Their concentrations were determined by immunoassay or mass-spectrometry methods. Among those metabolites, 3,5-diiodothyronine (3,5-T2), occurs at low nanomolar concentrations in human serum, but might reach tissue concentrations similar to those of T4 and T3, at least based on data from rodent models. However, the immunoassay-based measurements in human sera revealed remarkable variations depending on antibodies used in the assays and thus need to be interpreted with caution. In clinical experimental approaches in euthyroid volunteers and hypothyroid patients using the immunoassay as the analytical tool no evidence of formation of 3,5-T2 from its putative precursors T4 or T3 was found, nor was any support found for the assumption that 3,5-T2 might represent a direct precursor for serum 3-T1-AM generated by combined deiodination and decarboxylation from 3,5-T2, as previously documented for mouse intestinal mucosa. We hypothesized that lowered endogenous production of 3,5-T2 in patients requiring T4 replacement therapy after thyroidectomy or for treatment of autoimmune thyroid disease, compared to production of 3,5-T2 in individuals with intact thyroid glands might contribute to the discontent seen in a subset of patients with this therapeutic regimen. So far, our observations do not support this assumption. However, the unexpected association between high serum 3,5-T2 and elevated urinary concentrations of metabolites related to coffee consumption requires further studies for an explanation. Elevated 3,5-T2 serum concentrations were found in several situations including impaired renal function, chronic dialysis, sepsis, non-survival in the ICU as well as post-operative atrial fibrillation (POAF) in studies using a monoclonal antibody-based chemoluminescence immunoassay. Pilot analysis of human sera using LC-linear-ion-trap-mass-spectrometry yielded 3,5-T2 concentrations below the limit of quantification in the majority of cases, thus the divergent results of both methods need to be reconciliated by further studies. Although positive anti-steatotic effects have been observed in rodent models, use of 3,5-T2 as a muscle anabolic, slimming or fitness drug, easily obtained without medical prescription, must be advised against, considering its potency in suppressing the HPT axis and causing adverse cardiac side effects. 3,5-T2 escapes regular detection by commercially available clinical routine assays used for thyroid function tests, which may be seriously disrupted in individuals self-administering 3,5-T2 obtained over-the counter or from other sources.
Overexpression of polo-like kinase 1 (PLK1) has been found in many different types of cancers. With its essential role in cell proliferation, PLK1 has been determined to be a broad-spectrum anti-cancer target. In this study, 3D-QSAR, molecular docking, and molecular dynamics (MD) simulations were applied on a series of novel pteridinone derivatives as PLK1 inhibitors to discover anti-cancer drug candidates. In this work, three models—CoMFA (Q² = 0.67, R² = 0.992), CoMSIA/SHE (Q² = 0.69, R² = 0.974), and CoMSIA/SEAH (Q² = 0.66, R² = 0.975)—of pteridinone derivatives were established. The three models that were established gave R²(pred) = 0.683, R²(pred) = 0.758, and R²(pred) = 0.767, respectively. Thus, the predictive abilities of the three proposed models were successfully evaluated. The relations between the different champs and activities were well-demonstrated by the contour chart of the CoMFA and CoMSIA/SEAH models. The results of molecular docking indicated that residues R136, R57, Y133, L69, L82, and Y139 were the active sites of the PLK1 protein (PDB code: 2RKU), in which the more active ligands can inhibit the enzyme of PLK1. The results of the molecular dynamic MD simulation diagram were obtained to reinforce the previous molecular docking results, which showed that both inhibitors remained stable in the active sites of the PLK1 protein (PDB code: 2RKU) for 50 ns. Finally, a check of the ADME-Tox properties of the two most active molecules showed that molecular N° 28 could represent a good drug candidate for the therapy of prostate cancer diseases.
Until today, more than 17% of the population in Mecklenburg Western-Pomerania suffer from chronic kidney disease (CKD) which was revealed by the SHIP study (Study of Health in Pomerania). 20% of CKD cases can be traced back to glomerulopathies. One common characteristic of glomerulopathies is the morphologic change of the glomerular filtration barrier which consists of endothelial cells, the glomerular basement membrane and podocytes. Under healthy conditions, the foot processes of the podocytes interdigitate with the foot processes of the neighboring podocytes with a filtration slit in between. Apart from the slit membrane protein nephrin, typical adherens junction proteins like occludin or JAM-A are also expressed at this cell-cell junction. This junction is therefore considered to be a specialized type of adherens junction, necessary to maintain the size-selectivity of the filtration barrier. During podocyte injury, podocyte foot processes lose their characteristic morphology and the typical meandering filtration slit becomes linearized, a process which is described as foot process effacement.
Since morphological change is directly linked to change or loss of function, ultrastructural analysis of the foot processes is necessary for diagnostics and research. By using 3D-structured illumination microscopy (3D-SIM), we quantified these morphological changes as well as studied a possible biomarker, the tight junction protein claudin 5 (CLDN5). Our study showed a spatially restricted up-regulation of CLDN5 in effaced filtration slit areas in biopsies of patients suffering from minimal change disease (MCD), focal and segmental glomerulosclerosis (FSGS) as well as in mice after NTS injection and in the uninephrectomy DOCA-salt mouse model. CLDN5/nephrin ratios of biopsies from patients with glomerulopathies and of tissue received from NTS-treated mice were significantly higher compared to controls. We found that in patients the CLDN5/nephrin ratios were negatively correlated with the filtration slit density. Since CLDN5 up-regulation was observed in several areas of high filtration slit density, we hypothesized that CDLN5 upregulation preceded visible foot process effacement. Taken together, we suggest that CLDN5 could be a helpful biomarker to identify an early change of the foot process morphology in addition to filtration slit density measurement. Additionally, correlation analysis of foot process effacement with patient data showed a significant negative correlation of the filtration slit density with proteinuria in MCD patients.
40-Year Longitudinal Caries Development in German Adolescents in the Light of New Caries Measures
(2019)
This study assessed the 40-year longitudinal caries development in German adolescents in the light of the sixth National Oral Health Survey in Children (NOHSC, 2016) employing initial DMFT (IDMFT), Significant Caries Index (SiC) and Specific Affected Caries Index (SaC). On the basis of the current NOHSC (randomized cluster selection using school list or regional community school surveys, 55,956 12-year-old sixth-graders examined by 482 calibrated community/study dentists) DMFT, SiC, a novel IDMFT including initial lesions (IT) and the recently introduced SaC were calculated and also recalculated for national and international surveys from the last 4 decades. In 2016, 78.8% of children were caries-free (DMFT = 0), 65.5% including IT lesions. The mean DMFT was 0.44 (single components: DT = 0.14, MT = 0.02, FT = 0.29, IT = 0.52) showing a clear association with the school type as marker for the socio-economic status. The mean number of affected teeth in children with DMFT >0 was 2.07 (SaC) in comparison to almost 9 teeth in the 1970s. The current care index on the tooth level was 66.3%, leaving only 7.7% of children with restorative treatment needs. Longitudinally, a continuous caries decline of more than 80%, including the risk groups (SiC/SaC), to an internationally extremely low level was observed. In conclusion, the National Oral Health Surveys reveal a continuous caries decline to a very low caries level in 12-year-old 6th-graders in Germany even if IT lesions are included (IDMFT). In spite of proportional reductions in the risk groups (SiC/SaC), the polarized caries distribution according to socio-economic parameters reveals the need for targeted preventive programmes.
Abstract
Amphidiploid fungal Verticillium longisporum strains Vl43 and Vl32 colonize the plant host Brassica napus but differ in their ability to cause disease symptoms. These strains represent two V. longisporum lineages derived from different hybridization events of haploid parental Verticillium strains. Vl32 and Vl43 carry same‐sex mating‐type genes derived from both parental lineages. Vl32 and Vl43 similarly colonize and penetrate plant roots, but asymptomatic Vl32 proliferation in planta is lower than virulent Vl43. The highly conserved Vl43 and Vl32 genomes include less than 1% unique genes, and the karyotypes of 15 or 16 chromosomes display changed genetic synteny due to substantial genomic reshuffling. A 20 kb Vl43 lineage‐specific (LS) region apparently originating from the Verticillium dahliae‐related ancestor is specific for symptomatic Vl43 and encodes seven genes, including two putative transcription factors. Either partial or complete deletion of this LS region in Vl43 did not reduce virulence but led to induction of even more severe disease symptoms in rapeseed. This suggests that the LS insertion in the genome of symptomatic V. longisporum Vl43 mediates virulence‐reducing functions, limits damage on the host plant, and therefore tames Vl43 from being even more virulent.
Oral mucositis is the most common and severe non-hematological complication associated with cancer radiotherapy, chemotherapy, or their combination. Treatment of oral mucositis focuses on pain management and the use of natural anti-inflammatory, sometimes weakly antiseptic mouth rinses in combination with optimal oral cavity hygiene. To prevent negative effects of rinsing, accurate testing of oral care products is necessary. Due to their ability to mimic realistic in-vivo conditions, 3D models may be an appropriate option in compatibility testing of anti-inflammatory and antiseptically effective mouth rinses. We present a 3D model of oral mucosa based on the cell line TR-146 with a physical barrier, characterized by high transepithelial electrical resistance (TEER) and confirmed cell integrity. Histological characterization of the 3D mucosa model showed a stratified, non-keratinized multilayer of epithelial cells similar to that of human oral mucosa. By means of immuno-staining, tissue-specific expression of cytokeratin 13 and 14 was shown. Incubation of the 3D mucosa model with the rinses had no effects on cell viability, but TEER decreased 24h after incubation in all solutions except ProntOral®. Analogous to skin models, the established 3D model meets the quality control criteria of OECD guidelines and may therefore be suitable for comparing the cytocompatibility of oral rinses.
Abstract
Environmentally‐friendly processes for the manufacturing of valuable industrial compounds like ω‐hydroxy fatty acids (ω‐OHFAs) are highly desirable. Herein, we present such an approach by establishing a two‐step enzymatic cascade reaction for the production of 2,15,16‐trihydroxy hexadecanoic acid (THA). Starting with the easily accessible natural compound ustilagic acid (UA) that is secreted by the corn smut fungus Ustilago maydis, the recombinantly expressed esterase BS2 from Bacillus subtilis and the commercial β‐glucosidase from almonds were applied yielding 86 % product. Both hydrolases do not require expensive cofactors, making the process economically attractive. Additionally, no harmful solvents are required, so that the product THA can be labelled natural to be used in food and cosmetic products.
Introduction: It has been shown that Alzheimer’s disease (AD) is accompanied by marked structural brain changes that can be detected several years before clinical diagnosis via structural magnetic resonance (MR) imaging. In this study, we developed a structural MR-based biomarker for in vivo detection of AD using a supervised machine learning approach. Based on an individual’s pattern of brain atrophy a continuous AD score is assigned which measures the similarity with brain atrophy patterns seen in clinical cases of AD.
Methods: The underlying statistical model was trained with MR scans of patients and healthy controls from the Alzheimer’s Disease Neuroimaging Initiative (ADNI-1 screening). Validation was performed within ADNI-1 and in an independent patient sample from the Open Access Series of Imaging Studies (OASIS-1). In addition, our analyses included data from a large general population sample of the Study of Health in Pomerania (SHIP-Trend).
Results: Based on the proposed AD score we were able to differentiate patients from healthy controls in ADNI-1 and OASIS-1 with an accuracy of 89% (AUC = 95%) and 87% (AUC = 93%), respectively. Moreover, we found the AD score to be significantly associated with cognitive functioning as assessed by the Mini-Mental State Examination in the OASIS-1 sample after correcting for diagnosis, age, sex, age·sex, and total intracranial volume (Cohen’s f2 = 0.13). Additional analyses showed that the prediction accuracy of AD status based on both the AD score and the MMSE score is significantly higher than when using just one of them. In SHIP-Trend we found the AD score to be weakly but significantly associated with a test of verbal memory consisting of an immediate and a delayed word list recall (again after correcting for age, sex, age·sex, and total intracranial volume, Cohen’s f2 = 0.009). This association was mainly driven by the immediate recall performance.
Discussion: In summary, our proposed biomarker well differentiated between patients and healthy controls in an independent test sample. It was associated with measures of cognitive functioning both in a patient sample and a general population sample. Our approach might be useful for defining robust MR-based biomarkers for other neurodegenerative diseases, too.
A Brief History of APIs
(2021)
Online platforms such as Facebook, YouTube and Twitter offer a wide range of data for scientific research. Since many of the social media providers have set up application programming interfaces (APIs), extensive volumes of data can be collected automatically (Jünger, 2018; Keyling & Jünger, 2016). Social media data are attractive, inter alia, because they not only include already available communication, such as that from public media, but they also make organisational and interpersonal communication visible (Ledford, 2020). In addition, these data are process-generated (Baur, 2011, p. 1234), meaning that they are generated independently of scientific research and thus promise an authentic insight into human behaviour. 1 A wide range of studies in the social sciences exploit APIs for data collection and analysis. Thus, the establishment and development of APIs has significant implications for science.
Nowadays, a challenge in wildlife management and nature conservation is to reach a state of human-wildlife coexistence, integrating wildlife into the human-dominated landscape. Achieving a state of coexistence is urgent as human-wildlife conflicts increase over time. Thus a "route guide" for researchers and conservation practitioners will be needed to identify if a human-wildlife interaction is heading towards conflict or coexistence, enabling them to conduct management activities, when possible, to achieve human-wildlife coexistence. Researchers have used different individual-based attributes as a proxy to measure support towards wildlife species by the general public. Different operationalizations from Environmental Economics and Environmental and Conservation Psychology research fields have been used to measure support. Examples of operationalization are the willingness-to-pay and Likert-type scale, or rating scale, from the first and second research fields. In the first, participants must indicate how much they would be willing to pay to protect a specific wildlife species population in a particular area and time. In the second, participants are asked to rate statements through, e.g., a five-point ordinal rating scale with opposite alternatives between, e.g., strongly agree and strongly disagree. In the human dimension of natural resources management research, variations of these methodologies have been used to measure support, not only for one wildlife species but for a set. For the willingness-to-pay variation, i.e., money allocation, participants must distribute a constant sum of money among a set of wildlife species. For the rating scale variation, each of the wildlife species in the set corresponds to a statement to be rated. The thesis aims to contrast these two variations, i.e., money allocation and rating scale, in their capacity to assess support changes towards a set of 12 native wildlife species from different taxa.
A survey was applied in 2018 (n: 368) and replicated in 2019 (n: 359) among urban dwellers who cohabit with the wildlife species set, in Valdivia, south of Chile. The surveys were applied before and after information disclosure and exposure in an experimental and longitudinal research design structure, respectively. As information disclosure, the threatened and endemic status of the wildlife species was presented to the participants. On the other hand, mass media coverage of a human-wildlife conflict involving one of the species included in study, the South American Sea Lion, was used for information exposure. The results indicate that the money allocation method identified support changes among the wildlife species to a greater extent than the rating scale for both types of information (Chapters 2, 3, and 4). The money allocation in the experimental design structure grouped the wildlife species based on their threatened and endemic status, while the rating scale did not come with the same results (Chapter 3). In the longitudinal design structure, the South American Sea Lion support decreased based on the average values of the money allocation and rating scale after the information exposure (Chapter 4). Differently, when the South American Sea Lion position support is compared with the other wildlife species, based on the money allocation, there was a descent, while the rating scale presented an ascent after the mass media coverage of the human-wildlife conflict (Chapter 4). This difference between the results of the two methods, in both research design structures, can be explained to a certain extent due to their scaling technique characteristics. The money allocation is a comparative scale; therefore, the support given to one wildlife species will affect the possible support given to the other species. In contrast, the rating scale is a non-comparative scale, i.e., the support given to a wildlife species is independent of the support given to the other wildlife species in the set. In the experimental research design structure (Chapters 2 and 3), to give or increase the support to a threatened or endemic wildlife species, a bill should be taken from another wildlife species, usually not threatened nor endemic. On the contrary, in the rating scale, there was no need to choose; the support could be increased for a wildlife species without decreasing the support for other wildlife species. In the longitudinal study design structure, the money allocation allows direct comparison between wildlife species from one year to another, while the rating scale does not. For the money allocation, the possible amount of support to be given to a wildlife species, i.e., 12 bills of 1,000 CLP each, did not vary from 2018 to 2019. For the rating scale, the values received among the wildlife species can vary within the rating scale from one year to another, misleading to incorrect interpretations. The money allocation method can be suitable for monitoring human-wildlife interactions, i.e., to position and visualize support shifts. The money allocation could be used as an overview of human-wildlife interactions in a specific area, working as a first assessment.
Pentathiepins are cyclic polysulfides that exert antiproliferative and cytotoxic activity in cancer cells, induce oxidative stress and apoptosis, and potently inhibit GPx1. These properties render this class of compounds promising candidates for the development of anticancer drugs. However, the biological effects and how they intertwine to promote high cytotoxicity have not been systematically assessed throughout a panel of cancer cell lines from distinct tissues of origin. In this thesis, six novel pentathiepins were analyzed and constitute the second generation of compounds with additional properties such as fluorescence or improved water solubility to facilitate cellular testing. All compounds underwent extensive biological evaluation in 14 human cancer cell lines. These studies included investigations of the inhibitory potential with regards to GPx1 and cell proliferation, examined the cytotoxicity in human cancer cell lines, as well as the induction of oxidative stress and DNA strand breaks. Furthermore, selected hallmarks of apoptosis, ferroptosis, and autophagy were studied. Experimental approaches regarding these cellular mechanisms included observing morphological changes, detecting phosphatidyl serine exposure and caspase activity, and quantifying cleaved PARP1 and levels of LC3B II. In addition, the analysis of the cell cycle aimed to identify aberrations or arrests in cell division.
Five of the six tested pentathiepins proved to be potent inhibitors of the GPx1, while all six exerted high cytotoxic and antiproliferative activity, although to different extents. There was a clear connection observed between the potential to provoke oxidative stress and damage to DNA in the form of single- and double-strand breaks both extra- and intracellularly. Furthermore, various experiments supported apoptosis but not ferroptosis as the mechanism of cell death in four different cell lines. In particular, the externalization of PS, the detection of activated caspases, and the cleavage of PARP1 corroborated this conclusion. Additionally, indications for autophagy were found, but more investigations are required to verify the current data. The findings of this dissertation are mainly in line with the postulated mechanism of action proposed for pentathiepins and a previous publication from our group that described their biological activity. However, the influence of modulators such as oxygen and GSH on the biological effects was ambiguous and dependent on the compound. The expression profile of the cell lines concerning GPx1 and CAT did not influence the cellular response toward the treatment, whereas the cell doubling time correlated with the cytotoxicity.
As the various pentathiepins give rise to different biological responses, modulation of the biological effects depends on the distinct chemical structures fused to the sulfur ring. This may allow for future optimization of the anticancer activity of pentathiepins. An analysis of the structure-activity relationships revealed that the piperazine scaffold was associated with superior biological activity compared to the pyrrolo-pyrazine backbone. Furthermore, substituents with electron-withdrawing properties or those providing a free electron pair, such as fluorine or morpholine, were advantageous. These findings should help design and synthesize the next generation of pentathiepins, thereby expanding the library of compounds, allowing for the further deduction of structure-activity relationships and an improved understanding of their mechanism of action.
Our goal was to provide a comprehensive overview of the antibody response to Staphylococcus aureus antigens in the general population as a basis for defining disease-specific profiles and diagnostic signatures. We tested the specific IgG and IgA responses to 79 staphylococcal antigens in 996 individuals from the population-based Study of Health in Pomerania. Using a dilution-based multiplex suspension array, we extended the dynamic range of specific antibody detection to seven orders of magnitude, allowing the precise quantification of high and low abundant antibody specificities in the same sample. The observed IgG and IgA antibody responses were highly heterogeneous with differences between individuals as well as between bacterial antigens that spanned several orders of magnitude. Some antigens elicited significantly more IgG than IgA and vice versa. We confirmed a strong influence of colonization on the antibody response and quantified the influence of sex, smoking, age, body mass index, and serum glucose on anti-staphylococcal IgG and IgA. However, all host parameters tested explain only a small part of the extensive variability in individual response to the different antigens of S. aureus.
A lot of research data has become available since the outbreak of the COVID-19
pandemic in 2019. Connecting this data is essential for the understanding of the
SARS-CoV-2 virus and the fight against the pandemic.
Amongst biological and biomedical research data, computational models targeting
COVID-19 have been emerging and their number is growing constantly. They are a
central part of the field of Systems Biology, which aims to understand the mechanisms
and behaviour of biological systems. Model predictions help to understand the
mechanisms of the novel coronavirus and the life-threatening disease it is causing.
Both biomedical research data and modelling data regarding COVID-19 have
previously been stored in separated domain-specific graph databases. MaSyMoS,
short for Management System for Models and Simulations, is a graph database for
storing simulation studies of biological and biochemical systems. The CovidGraph
project integrates research data regarding COVID-19 and the coronavirus family
from various data resources in a knowledge graph.
In this thesis, we integrate simulation models from MaSyMoS, including models
targeting COVID-19, into the CovidGraph. Therefore, we present a concept for
the integration of simulation studies and the linkage through ontology terms and
reference publications in the CovidGraph. Ultimately, we connect data from the field
of systems biology and biomedical research data in a graph database.
Dengue virus (DV) is a positive-strand RNA virus of the Flavivirus genus. It is one of the most prevalent mosquito-borne viruses, infecting globally 390 million individuals per year. The clinical spectrum of DV infection ranges from an asymptomatic course to severe complications such as dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS), the latter because of severe plasma leakage. Given that the outcome of infection is likely determined by the kinetics of viral replication and the antiviral host cell immune response (HIR) it is of importance to understand the interaction between these two parameters. In this study, we use mathematical modeling to characterize and understand the complex interplay between intracellular DV replication and the host cells' defense mechanisms. We first measured viral RNA, viral protein, and virus particle production in Huh7 cells, which exhibit a notoriously weak intrinsic antiviral response. Based on these measurements, we developed a detailed intracellular DV replication model. We then measured replication in IFN competent A549 cells and used this data to couple the replication model with a model describing IFN activation and production of IFN stimulated genes (ISGs), as well as their interplay with DV replication. By comparing the cell line specific DV replication, we found that host factors involved in replication complex formation and virus particle production are crucial for replication efficiency. Regarding possible modes of action of the HIR, our model fits suggest that the HIR mainly affects DV RNA translation initiation, cytosolic DV RNA degradation, and naïve cell infection. We further analyzed the potential of direct acting antiviral drugs targeting different processes of the DV lifecycle in silico and found that targeting RNA synthesis and virus assembly and release are the most promising anti-DV drug targets.
Background: Previous studies suggest that blood donation impacts blood donors’ psychological state, with either positive or negative effects, such as feeling more energetic or more exhausted. It has not yet been described how long these effects last. Materials and Methods: This prospective cohort study consisted of a qualitative and a quantitative part: (1) Psychological characteristics which changed after blood donation were identified by structured interviews of regular whole blood donors (n = 42). Based on this, a questionnaire addressing 7 psychological dimensions was established. (2) The psychological state of 100 blood donors was assessed after blood donation by applying the questionnaire 15–30 min before and during donation, as well as 15–30 min, 6 h, 24 h, 72 h, 1 week, and 8 weeks after donation. The resulting changes were summarized to a score. Furthermore, potential correlations of the score with pre-donation blood pressure, hemoglobin, or body mass index were calculated. Results: Seven items were identified which changed in at least 25% of blood donors (mood, concentration, satisfaction, resilience, spirit of initiative, physical well-being, energy level). In the 100 blood donors, the well-being score increased (positive effects, n = 23), showed minor changes (n = 53), or decreased (negative effects, n = 24). The positive effects lasted for about 1 week and the negative effects for 3 days. Conclusion: While the frequency of psychological effects following blood donation identified by our study was comparable to others, the changes of the psychological state in our donors were traceable for a longer period than previously acknowledged.
We introduce PVSC-DTM (Parallel Vectorized Stencil Code for Dirac and Topological Materials), a library and code generator based on a domain-specific language tailored to implement the specific stencil-like algorithms that can describe Dirac and topological materials such as graphene and topological insulators in a matrix-free way. The generated hybrid-parallel (MPI+OpenMP) code is fully vectorized using Single Instruction Multiple Data (SIMD) extensions. It is significantly faster than matrix-based approaches on the node level and performs in accordance with the roofline model. We demonstrate the chip-level performance and distributed-memory scalability of basic building blocks such as sparse matrix-(multiple-) vector multiplication on modern multicore CPUs. As an application example, we use the PVSC-DTM scheme to (i) explore the scattering of a Dirac wave on an array of gate-defined quantum dots, to (ii) calculate a bunch of interior eigenvalues for strong topological insulators, and to (iii) discuss the photoemission spectra of a disordered Weyl semimetal.
The present experimental work investigates plasma turbulence in the edge region of magnetized high-temperature plasmas. A main topic is the turbulent dynamics parallel to the magnetic field, where hitherto only a small data basis existed, especially for very long scale lengths in the order of ten of meters. A second point of special interest is the coupling of the dynamics parallel and perpendicular to the magnetic field. This anisotropic turbulent dynamics is investigated by two different approaches. Firstly, spatially and temporally high-resolution measurements of fluctuating plasma parameters are investigated by means of two-point correlation analysis. Secondly, the propagation of signals externally imposed into the turbulent plasma background is studied. For both approaches, Langmuir probe arrays were utilized for diagnostic purposes. The main findings can be summarized as follows: Greatly elongated fluctuation structures exist in plasma edge turbulence. The structures are aligned along the confining magnetic field (k|| = 0). The correlation degree of fluctuations for a short connection length of 0.75m is greater than 80%. For much longer connection lengths of 23m and 66m, the correlation degree is reduced to approximately 40%. A conceptual interpretation of these observations is the coexistence of two different fluctuation components. One component has a correlation length parallel to the magnetic field below 20m and the other component a correlation length greater than 70m. Sine signals in the frequency range 1-100 kHz were injected into the turbulent plasma background. The propagation parallel and perpendicular to the magnetic field of the signals was studied. In poloidal direction, an asymmetry is observed, that can be explained by a copropagation of the signal with the background E × B-rotation of the plasma. The signal propagation parallel to the magnetic field shows no such asymmetry. As an advanced approach, spatio-temporal wave patters were injected into the edge plasma. The waves launched that way can be seen as test waves' in a turbulent background. The coupling strength of the imposed wave patterns to the background turbulence relies on the match of the imposed waves to the dynamics of turbulent structures. If the propagation direction of the imposed waves is parallel to the propagation direction of the background plasma, improved coupling is observed. This finding underlines the importance of the background plasma rotation for future attempts of controlling the plasma edge turbulence. Further optimization of frequency and wave vector of the imposed waves is probably a promising approach for achieving a significant and systematic influence of turbulence. Taking into account the present experimental state-of-the-art, for a deeper insight into the mechanism of the plasma edge turbulence of magnetized high-temperature plasmas a joint effort of numerical modeling and experimental results is a valuable approach. Such a cooperation should cover the explanation of the correlation observations as well as the experiments on signal injection into background turbulence. A quantitative comparison between the results presented in this work and a dedicated numerical drift wave simulation would be a significant step forward to a better understanding of plasma edge turbulence.
Background
The Federal Ministry of Education and Research of Germany (BMBF) funds a network of university medicines (NUM) to support COVID-19 and pandemic research at national level. The “COVID-19 Data Exchange Platform” (CODEX) as part of NUM establishes a harmonised infrastructure that supports research use of COVID-19 datasets. The broad consent (BC) of the Medical Informatics Initiative (MII) is agreed by all German federal states and forms the legal base for data processing. All 34 participating university hospitals (NUM sites) work upon a harmonised infrastructural as well as legal basis for their data protection-compliant collection and transfer of their research dataset to the central CODEX platform. Each NUM site ensures that the exchanged consent information conforms to the already-balloted HL7 FHIR consent profiles and the interoperability concept of the MII Task Force “Consent Implementation” (TFCI). The Independent Trusted Third-Party (TTP) of the University Medicine Greifswald supports data protection-compliant data processing and provides the consent management solutions gICS.
Methods
Based on a stakeholder dialogue a required set of FHIR-functionalities was identified and technically specified supported by official FHIR experts. Next, a “TTP-FHIR Gateway” for the HL7 FHIR-compliant exchange of consent information using gICS was implemented. A last step included external integration tests and the development of a pre-configured consent template for the BC for the NUM sites.
Results
A FHIR-compliant gICS-release and a corresponding consent template for the BC were provided to all NUM sites in June 2021. All FHIR functionalities comply with the already-balloted FHIR consent profiles of the HL7 Working Group Consent Management. The consent template simplifies the technical BC rollout and the corresponding implementation of the TFCI interoperability concept at the NUM sites.
Conclusions
This article shows that a HL7 FHIR-compliant and interoperable nationwide exchange of consent information could be built using of the consent management software gICS and the provided TTP-FHIR Gateway. The initial functional scope of the solution covers the requirements identified in the NUM-CODEX setting. The semantic correctness of these functionalities was validated by project-partners from the Ludwig-Maximilian University in Munich. The production rollout of the solution package to all NUM sites has started successfully.
Diagenetic illite growth in porous sandstones leads to significant modifications of the initial pore system which result in tight reservoirs. Understanding and quantifying these changes provides insight into the porosity-permeability history of the reservoir and improves predictions on petrophysical behavior. To characterize the various stages of diagenetic alteration, a focused ion beam – scanning electron microscopy (FIB-SEM) study was undertaken on aeolian sandstones from the Bebertal outcrop of the Parchim Formation (Early Permian Upper Rotliegend group). Based on 3D microscopic reconstructions, three different textural types of illite crystals occur, common to many tight Rotliegend sandstones, namely (1) feldspar grain alterations and associated illite meshworks, (2) tangential grain coats, and (3) pore-filling laths and fibers. Reaction textures, pore structure quantifications, and numerical simulations of fluid transport have revealed that different generations of nano-porosity are connected to the diagenetic alteration of feldspars and the authigenic growth of pore-filling illites. The latter leads to the formation of microstructures that range from authigenic compact tangential grain coatings to highly porous, pore-filling structures. K-feldspar replacement and initial grain coatings of illite are composed primarily of disordered 1Md illite whereas the epitaxially grown illite lath- and fiber-shaped crystals occurring as pore-filling structures are of the trans-vacant 1Mtv polytype. Although all analyzed 3D structures offer connected pathways, the largest reduction in sandstone permeability occurred during the initial formation of the tangential illite coatings that sealed altered feldspars and the subsequent growth of pore-filling laths and fibrous illites. Analyses of both illite pore-size and crystallite-size distributions indicate that crystal growth occurred by a continuous nucleation and growth mechanism probably controlled by the multiple influx of potassium-rich fluids during late Triassic and Jurassic times. The detailed insight into the textural varieties of illite crystal growth and its calculated permeabilities provides important constraints for understanding the complexities of fluid-flow in tight reservoir sandstones.
Lacewings (Neuroptera) have predatory larvae with highly specialised mouthparts. Larvae of many groups within Neuroptera are well represented as fossils preserved in ambers; however, larvae of some groups are less often reported in the literature. Here we report such a rare case, a larva of the group Hemerobiidae, an aphidlion, preserved in a piece of Eocene Baltic amber (about 40 million years old). It is preserved together with three possible prey items, wingless aphids, most likely representatives of Germaraphis (or at least closely related to this group). The aphidlion can be identified based on the morphology of the antennae, simple curved and toothless stylets, well developed labial palps, and the absence of other mouth-part structures such as a protruding labrum or maxillary palps. A long, club-shaped distal element of the labial palps identifies the specimen as a larva of Hemerobiidae. The aphids can be identified based on their very long, beak-like mouth parts. This find is, to our knowledge, the first example of a lacewing larva preserved together with its potential prey. We briefly discuss other cases in which fossils preserved in amber allow us to reconstruct aspects of behaviour and interactions of fossil lacewing larvae.
Serbian Tertiary ultrapotassic province is part of widespread but not voluminous basaltic magmatism in Serbia. Two principal groups of ultrapotassic rocks are recognized; the lamproite affinity group (LAG) and the kamafugite affinity group (KAG). My results demonstrate three dominant low-pressure evolutional processes: magma mixing and fractional crystallization, analcimization and heteromorphism. The two suites of ultrapotassic rocks show large ranges of Sr and Nd isotopic values but a restricted variation of Pb isotopes. LAG is characterized by wide ranges of Sr and Nd isotopes (87Sr/86Sri 0.70735- 0.71299, 143Nd/144Ndi 0.51251-0.51216). KAG is isotopically homogeneous with a limited range of Sr-Nd isotopes (87Sr/86Sri 0.70599-0.70674, 143Nd/144Ndi 0.51263-0.51256). The Pb isotope compositions of both groups are similar (206Pb/204Pb 18.581-18.832, 207Pb/204Pb 15.624-15.696 and 208Pb/204Pb 38.744-38.987), and fall within the pelagic sediment field resembling Mesozoic flysch sediments from the Vardar ophiolitic composite suture zone. Highly variable Sr and Nd isotopic signatures of primitive-LAG rocks correlate with REE fractionation and enrichment of the HFSE. I explain this correlation using vein+wall-rock melting model, invoking the presence of different metasomatic domains (veins with phlogopite, Cpx and F-apatite) that are out of isotopic equilibrium with the peridotite wall rock. Relatively uniform Sr and Nd isotopic data of KAG rocks, similar trace element patterns and small but regular variations of HFSE ratios, indicate different degrees of melting of a relatively homogeneously metasomatized mantle source. Geochemical modelling implies the role of phlogopite, apatite and Ti-oxide in their mantle source.
For the characterization of Kv7.2/3 channel activators, several analytical methods are available that vary in effort and cost. In addition to the technically elaborate patch-clamp method, which serves as a reference method, there exist several medium to high-throughput screening methods including a rubidium efflux flame-atomic absorption spectrometry (F-AAS) assay and a commercial thallium uptake fluorescence-based assay. In this study, the general suitability of a graphite furnace atomic absorption spectrometry (GF-AAS)-based rubidium efflux assay as a screening method for Kv7.2/3 channel activators was demonstrated. With flupirtine serving as a reference compound, 16 newly synthesizedcompounds and the known Kv7.2/3 activator retigabine were first classified as either active or inactive by using the GF-AAS-based rubidium (Rb) efflux assay. Then, the results were compared with a thallium (Tl) uptake fluorescence-based fluorometric imaging plate reader (FLIPR) potassium assay. Overall, 16 of 17 compounds were classified by the GF-AAS-based assay in agreement with their channel-activating properties determined by the more expensive Tl uptake, fluorescence-based assay. Thus, the performance of the GF-AAS-based Rb assay for primary drug screening of Kv7.2/3-activating compounds was clearly demonstrated, as documented by the calculated Z’-factor of the GF-AAS-based method. Moreover, method development included optimization of the coating of the microtiter plates and the washing procedure, which extended the range of this assay to poorly adherent cells such as the HEK293 cells used in this study.
Forest ecosystems around the world and especially boreal forests, are facing
drastically changing climatic conditions. It is known that these changes could
challenge their functionality and vitality. Still, the exact impact is not fully
understood, as tree growth is a complex process and depends on countless
environmental and genetic factors. To estimate the effects of climate change
on tree growth and forest development precisely, we must learn more about
tree growth itself. A comprehensive approach is needed where trees and
forests are investigated on different scales and levels of detail, ranging from
global studies to studies on single individuals.
In this dissertation, I follow such a comprehensive approach, using the
North American conifer white spruce as an example. I present three papers
in the form of three chapters in which my co-authors and I studied the
growth and anatomy of white spruce (Picea glauca [Moench] Voss) and how
it is influenced by environmental, climatic, and genetic factors.
We used diverse approaches and methods on different spatial scales, ranging from
investigations on the landscape to the local scale. We established three paired
plots with forest and treeline sites (two cold-limited and one drought-limited).
as well as one additional forest site. In the first chapter, we concentrated
on the genetic diversity of white spruce within and between populations at
all study sites throughout Alaska. The genetic investigations were combined
with analyses on the individual growth response of trees to climatic conditions
to find whether genetic similarities or spatial proximity caused similarities
in growth and climatic sensitivity. In the second chapter, we studied the
direct and indirect effects of environmental conditions on the xylem tissue
of white spruce. We analyzed the impact of precipitation, temperature, and
tree height on four xylem anatomical traits in trees growing at the three
treelines. The investigated traits represented the main functions of xylem
tissue (i.e., water transport and structural support). In the third chapter,
we investigated similar xylem anatomical traits at one cold-limited treeline.
We compared xylem anatomy and annual increment between genetic groups
and individuals and between spatial groups to investigate whether spatial or
genetic grouping influenced the anatomy and growth of white spruce.
We found an overall high gene flow and high genetic diversity in white
spruce. However, the sensitivity of the growth and anatomical traits of white
spruce was driven mainly by spatial rather than genetic effects and differed
between study sites. Trees from the drought-limited site were more sensitive
towards precipitation and a moisture index, while trees from the cold-limited
sites were more sensitive towards temperature. A strong direct effect of tem-
perature was primarily found in latewood traits related to the structural sup-
port of the tree. Earlywood traits related to water transport, however, were
influenced mainly by tree height. Tree height itself was potentially affected
by diverse abiotic and biotic factors (e.g., (micro)climate, soil conditions,
and competition). Thus, traits related to water transport were indirectly
influenced by environmental conditions. Genetic effects in xylem anatomical
traits were found in the earlywood hydraulic diameter and latewood den-
sity, whereas in general, primarily spatial rather than genetic grouping was
influencing the anatomy of white spruce.
Overall, white spruce showed to be a genetically diverse species with a
high gene flow. The effects of spatial proximity and spatial grouping on the
sensitivity and anatomy of white spruce indicate high phenotypic plastic-
ity. This high phenotypic plasticity combined with the vast genetic diversity
translates into an immense potential for the species to adjust (phenotypically)
and possibly adapt (genetically) to changing conditions. Thus, in terms of
climate change, white spruce may be a rather persistent species that manages
to cope with the drastic changes. Though additional work might be needed to
draw a more solid conclusion, the presented work shows how a comprehensive
study approach can help to interpret and understand the growth and ecology
of a tree species. It may be an inspiration for future studies to broaden their
approaches and to use comprehensive methods on different levels of detail to
not only observe trees but to explore and understand them.
Fast screening of enzyme variants is crucial for tailoring biocatalysts for the asymmetric synthesis of non-natural chiral chemicals, such as amines. However, most existing screening methods either are limited by the throughput or require specialized equipment. Herein, we report a simple, high-throughput, low-equipment dependent, and generally applicable growth selection system for engineering amine-forming or converting enzymes and apply it to improve biocatalysts belonging to three different enzyme classes. This results in (i) an amine transaminase variant with 110-fold increased specific activity for the asymmetric synthesis of the chiral amine intermediate of Linagliptin; (ii) a 270-fold improved monoamine oxidase to prepare the chiral amine intermediate of Cinacalcet by deracemization; and (iii) an ammonia lyase variant with a 26-fold increased activity in the asymmetric synthesis of a non-natural amino acid. Our growth selection system is adaptable to different enzyme classes, varying levels of enzyme activities, and thus a flexible tool for various stages of an engineering campaign.
The vast majority of RNA splicing in today‘s organisms is achieved by the highly regulated and precise removal of introns from pre-mRNAs via the spliceosome. Here we present a model of how RNA splicing may have occurred in earlier life forms. We have designed a hairpin ribozyme derived spliceozyme that mediates two RNA cleavages and one ligation event at specific positions and thus cuts a segment (intron) out of a parent RNA and ligates the remaining fragments (exons). The cut-out intron then performs a downstream function, acting as a positive regulator of the activity of a bipartite DNAzyme. This simple scenario shows how small RNAs can perform complex RNA processing dynamics, involving the generation of new phenotypes by restructuring segments of given RNA species, as well as delivering small RNAs that may play a functional role in downstream processes.
In the present work high density helicon plasma discharges are created and characterized as a promising concept towards the realization of plasma wakefield accelerators to build up electric fields in the order of GV/m to accelerate electrons to energies in the TeV range with proton driving bunches. For such a concept plasma sources are needed that are able to maintain discharges with plasma densities of n_e = 7E20 m^-3 over long distances with a low variation in plasma density. Measurements at the PROMETHEUS-A device are performed for variable parameters, like magnetic induction, RF heating power and filling gas pressure. A CO2 laser interferometer, a laser induced fluorescence (LIF) diagnostic and a reaction rate model are combined to give a full picture. It is shown that in most cases the plasma density is centrally peaked with a high density region +- 5 mm from the center. The peak plasma density increases with increasing filling gas pressure, RF heating power and magnetic induction, limited by the number of neutral particles in low pressure discharges, by the transferred heating power and the increasing recombination and electron quenching rates of argon ions in high filling pressure cases. The increase in plasma density with increasing magnetic induction correlates to the direct proportionality in the helicon dispersion relation. For all investigated operational parameters the time evolution of the helicon discharge shows the same characteristics and is reliably reproducable inside the error bars. The electron temperature is determined by combining the collisional radiative model with line ratio measurements of two spontaneously emitted LIF lines. The low electron temperature regime of 1.2 eV < T_e < 1.4 eV and the electron temperature profiles are consistent with helicon wave heating via collisional power dissipation. The maximum plasma density of n_e = (6 +- 1)E20 m^-3 is measured at high RF power of P_RF = 24 kW, p_0 = 9 Pa filling gas pressure and a magnetic induction of B = 105 mT with a maximum electron temperature at 1.4 eV. At these operational parameters the plasma density peaking time and width are determined to be 270E-6 s and 50E-6 s, respectively. This shows that specific plasma density requirements for the use of a wakefield accelerator are reachable and the duration of the peak plasma density is more than sufficient for a relativistic particle to pass a 1 km long plasma cell. Additionally time-resolved LIF profile measurements for neutral and singly ionized argon were conducted to complement the previously evaluated measurements. The time resolution of the LIF diagnostic was chosen in a way to adequately represent the evolution of densities and to allow full profile measurements over one day. A resolution of 200E-6 s was chosen. The time-resolved neutral and ion metastable densities show hollow profiles with high densities at the edges over the first ms indicating higher ionization levels and increasing electron quenching rates. The metastable densities are highly determined by electron temperature, RF heating power and filling neutral gas pressure and do not reflect the neutral argon evolution. To investigate the influence of neutral depletion on the density evolution and maximum plasma density, the argon neutral and ion ground state densities are determined. Both time-resolved density profiles show a hollow profile with highest densities at the edges over a longer time interval of 3-4 ms. The penetration depths (ionization mean-free paths) indicate increased ionization of neutral argon while dissipating inwards, corresponding well to the theoretical value of lambda = 20 mm. This results in a depletion of neutrals in the center of the discharge, leading to a limitation and a fast decrease of plasma density after the neutrals are partially ionized. The shown refilling effect of neutral argon is too slow to have an important impact. At operation parameters for highest plasma density, the calculated ground states also show a fast increase in density at the end of the discharge after the RF-heating is switched off. This indicates recombination effects to these atomic states and higher ionization levels than ArII in the helicon discharge.
The human brain is distinguished by its remarkable size, high energy consumption, and cognitive abilities compared to all other mammals and non-human primates. However, little is known about what has accelerated brain evolution in the human lineage. One possible explanation is that the appearance of advanced communication skills and language has been a driving force of human brain development. The phenotypic adaptations in brain structure and function which occurred on the way to modern humans may be associated with specific molecular signatures in today’s human genome and/or transcriptome. Genes that have been linked to language, reading, and/or autism spectrum disorders are prime candidates when searching for genes for human-specific communication abilities. The database and genome-wide expression analyses we present here revealed a clustering of such communication-associated genes (COAG) on human chromosomes X and 7, in particular chromosome 7q31-q36. Compared to the rest of the genome, we found a high number of COAG to be differentially expressed in the cortices of humans and non-human primates (chimpanzee, baboon, and/or marmoset). The role of X-linked genes for the development of human-specific cognitive abilities is well known. We now propose that chromosome 7q31-q36 also represents a hot spot for the evolution of human-specific communication abilities. Selective pressure on the T cell receptor beta locus on chromosome 7q34, which plays a pivotal role in the immune system, could have led to rapid dissemination of positive gene variants in hitchhiking COAG.
A highly stereoselective recombinant alcohol dehydrogenase aus 'Pseudomonas fluorescens' DSM50106
(2005)
The alcohol dehydrogenase was biochemically characterized. A broad range of arylaliphatic ketones is efficiently reduced to the corresponding optically active (R)-alcohols by a recombinant alcohol dehydrogenase (PF-ADH) produced by overexpression in 'Escherichia coli'. PF-ADH shows high activity and stereoselectivity in the reduction of acetophenone and various derivatives (45-99%), as well as in the reduction of 3-oxy-butyric acid methyl ester and 3-oxy-butyric acid methyl ester and 3-oxy-hexanoic acid ethyl ester (>99%). The highest activity was observed between 10 and 20°C. The copfactor NADH can be efficiently recycled by the addition of 10-20% of iso-propanol. A flow-through-polarimetry-based assay to determine oxidoreductase activity and stereoselectivity is described.
Target proteins in biotechnological applications are highly diverse. Therefore, versatile flexible expression systems for their functional overproduction are required. In order to find the right heterologous gene expression strategy, suitable host-vector systems, which combine different genetic circuits, are useful. In this study, we designed a novel Bacillus subtilis expression toolbox, which allows the overproduction and secretion of potentially toxic enzymes. This toolbox comprises a set of 60 expression vectors, which combine two promoter variants, four strong secretion signals, a translation-enhancing downstream box, and three plasmid backbones. This B. subtilis toolbox is based on a tailor-made, clean deletion mutant strain, which is protease and sporulation deficient and exhibits reduced autolysis and secondary metabolism. The appropriateness of this alternative expression platform was tested for the overproduction of two difficult-to-produce eukaryotic model proteins. These included the sulfhydryl oxidase Sox from Saccharomyces cerevisiae, which forms reactive hydrogen peroxide and undesired cross-linking of functional proteins, and the human interleukin-1β, a pro-inflammatory cytokine. For the best performing Sox and interleukin, overproducing and secreting variants of these new B. subtilis toolbox fermentation strategies were developed and tested. This study demonstrates the suitability of the prokaryotic B. subtilis host-vector system for the extracellular production of two eukaryotic proteins with biotechnological relevance.
For the normal development of pregnancy, a balance between immune tolerance and defense is crucial. However, the mechanisms mediating such a balance are not fully understood. CD83 is a transmembrane protein whose expression has been linked to anti-inflammatory functions of T and B cells. The soluble form of CD83, released by cleavage of the membrane-bound protein, has strong anti-inflammatory properties and was successfully tested in different mouse models. It is assumed that this molecule contributes to the establishment of immune tolerance. Therefore, we postulated that the expression of CD83 is crucial for immune tolerance during pregnancy in mice. Here, we demonstrated that the membrane-bound form of CD83 was upregulated in T and B cells during allogeneic murine pregnancies. An upregulation was also evident in the main splenic B cell subtypes: marginal zone, follicular zone, and transitional B cells. We also showed that there was an augmentation in the number of CD83+ cells toward the end of pregnancy within splenic B and CD4+ T cells, while CD83+ dendritic cells were reduced in spleen and inguinal lymph nodes of pregnant mice. Additionally, B lymphocytes in late-pregnancy presented a markedly higher sensitivity to LPS in terms of CD83 expression and sCD83 release. Progesterone induced a dosis-dependent upregulation of CD83 on T cells. Our data suggest that the regulation of CD83 expression represents a novel pathway of fetal tolerance and protection against inflammatory threats during pregnancy.
Abstract
Non‐native invasive species are threatening ecosystems and biodiversity worldwide. High genetic variation is thought to be a critical factor for invasion success. Accordingly, the global invasion of a few clonal lineages of the gastropod Potamopyrgus antipodarum is thus both puzzling and has the potential to help illuminate why some invasions succeed while others fail. Here, we used SNP markers and a geographically broad sampling scheme (N = 1617) including native New Zealand populations and invasive North American and European populations to provide the first widescale population genetic assessment of the relationships between and among native and invasive P. antipodarum. We used a combination of traditional and Bayesian molecular analyses to demonstrate that New Zealand populations harbour very high diversity relative to the invasive populations and are the source of the two main European genetic lineages. One of these two European lineages was in turn the source of at least one of the two main North American genetic clusters of invasive P. antipodarum, located in Lake Ontario. The other widespread North American group had a more complex origin that included the other European lineage and two New Zealand clusters. Altogether, our analyses suggest that just a small handful of clonal lineages of P. antipodarum were responsible for invasion across continents. Our findings provide critical information for prevention of additional invasions and control of existing invasive populations and are of broader relevance towards understanding the establishment and evolution of asexual populations and the forces driving biological invasion.
Abstract
Background
Twenty five‐hydroxy vitamin D (25OHD) levels have been proposed to protect against periodontitis based on in vitro and observational studies but evidence from long‐term randomized controlled trials (RCTs) is lacking. This study tested whether genetically proxied 25OHD is associated with periodontitis using Mendelian randomization (MR).
Methods
Genetic variants strongly associated with 25OHD in a genome‐wide association study (GWAS) of 417,580 participants of European ancestry were used as instrumental variables, and linked to GWAS summary data of 17,353 periodontitis cases and 28,210 controls. In addition to the main analysis using an inverse variance weighted (IVW) model, we applied additional robust methods to control for pleiotropy. We also undertook sensitivity analyses excluding single nucleotide polymorphisms (SNPs) used as instruments with potential pleiotropic effects and used a second 25OHD GWAS for replication. We identified 288 SNPs to be genome‐wide significant for 25OHD, explaining 7.0% of the variance of 25OHD levels and providing ≥90% power to detect an odds ratio (OR) of ≤ 0.97.
Results
MR analysis suggested that a 1 standard deviation increase in natural log‐transformed 25OHD was not associated with periodontitis risk (IVW OR = 1.04; 95% confidence interval (CI): 0.97–1.12; P‐value = 0.297). The robust models, replication, and sensitivity analyses were coherent with the primary analysis.
Conclusions
Collectively, our findings suggest that 25OHD levels are unlikely to have a substantial effect on the risk of periodontitis, but large long‐term RCTs are needed to derive definitive evidence on the causal role of 25OHD in periodontitis.
A Metabolic Labeling Strategy for Relative Protein Quantification in Clostridioides difficile
(2018)
Introduction
Neurofilament light (NfL) can be detected in blood of healthy individuals and at elevated levels in those with different neurological diseases. We investigated if the choice of biological matrix can affect results when using NfL as biomarker in epidemiological studies.
Method
We obtained paired serum and EDTA-plasma samples of 299 individuals aged 37–67 years (BiDirect study) and serum samples of 373 individuals aged 65–83 years (MEMO study). In BiDirect, Passing–Bablok analyses were performed to assess proportional and systematic differences between biological matrices. Associations between serum or EDTA-plasma NfL and renal function (serum creatinine, serum cystatin C, glomerular filtration rate, and kidney disease) were investigated using linear or logistic regression, respectively. All regression coefficients were estimated (1) per one ng/L increase and (2) per one standard deviation increase (standardization using z-scores). In MEMO, regression coefficients were estimated (1) per one ng/L increase of serum or calculated EDTA-plasma NfL and (2) per one standard deviation increase providing a comparison to the results from BiDirect.
Results
We found proportional and systematic differences between paired NfL measurements in BiDirect, i.e., serum NfL [ng/L] = −0.33 [ng/L] + 1.11 × EDTA-plasma NfL [ng/L]. Linear regression coefficients for the associations between NfL and renal function did not vary between the different NfL measurements. In MEMO, one standard deviation increase in serum NfL was associated with greater changes in the outcomes than in BiDirect.
Conclusion
Although there are differences between serum and EDTA-plasma NfL, results can be used interchangeably if standardized values are used.
Background
Pycnogonida (sea spiders) is the sister group of all other extant chelicerates (spiders, scorpions and relatives) and thus represents an important taxon to inform early chelicerate evolution. Notably, phylogenetic analyses have challenged traditional hypotheses on the relationships of the major pycnogonid lineages (families), indicating external morphological traits previously used to deduce inter-familial affinities to be highly homoplastic. This erodes some of the support for phylogenetic information content in external morphology and calls for the study of additional data classes to test and underpin in-group relationships advocated in molecular analyses. In this regard, pycnogonid internal anatomy remains largely unexplored and taxon coverage in the studies available is limited.
Results
Based on micro-computed X-ray tomography and 3D reconstruction, we created a comprehensive atlas of in-situ representations of the central nervous system and midgut layout in all pycnogonid families. Beyond that, immunolabeling for tubulin and synapsin was used to reveal selected details of ganglionic architecture. The ventral nerve cord consistently features an array of separate ganglia, but some lineages exhibit extended composite ganglia, due to neuromere fusion. Further, inter-ganglionic distances and ganglion positions relative to segment borders vary, with an anterior shift in several families. Intersegmental nerves target longitudinal muscles and are lacking if the latter are reduced. Across families, the midgut displays linear leg diverticula. In Pycnogonidae, however, complex multi-branching diverticula occur, which may be evolutionarily correlated with a reduction of the heart.
Conclusions
Several gross neuroanatomical features are linked to external morphology, including intersegmental nerve reduction in concert with trunk segment fusion, or antero-posterior ganglion shifts in partial correlation to trunk elongation/compaction. Mapping on a recent phylogenomic phylogeny shows disjunct distributions of these traits. Other characters show no such dependency and help to underpin closer affinities in sub-branches of the pycnogonid tree, as exemplified by the tripartite subesophageal ganglion of Pycnogonidae and Rhynchothoracidae. Building on this gross anatomical atlas, future studies should now aim to leverage the full potential of neuroanatomy for phylogenetic interrogation by deciphering pycnogonid nervous system architecture in more detail, given that pioneering work on neuron subsets revealed complex character sets with unequivocal homologies across some families.
Liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics experiments have become increasingly popular because of the wide range of metabolites that can be analyzed and the possibility to measure novel compounds. LC-MS instrumentation and analysis conditions can differ substantially among laboratories and experiments, thus resulting in non-standardized datasets demanding customized annotation workflows. We present an ecosystem of R packages, centered around the MetaboCoreUtils, MetaboAnnotation and CompoundDb packages that together provide a modular infrastructure for the annotation of untargeted metabolomics data. Initial annotation can be performed based on MS1 properties such as m/z and retention times, followed by an MS2-based annotation in which experimental fragment spectra are compared against a reference library. Such reference databases can be created and managed with the CompoundDb package. The ecosystem supports data from a variety of formats, including, but not limited to, MSP, MGF, mzML, mzXML, netCDF as well as MassBank text files and SQL databases. Through its highly customizable functionality, the presented infrastructure allows to build reproducible annotation workflows tailored for and adapted to most untargeted LC-MS-based datasets. All core functionality, which supports base R data types, is exported, also facilitating its re-use in other R packages. Finally, all packages are thoroughly unit-tested and documented and are available on GitHub and through Bioconductor.