Universitätspublikationen
Refine
Year of publication
- 2020 (2512) (remove)
Document Type
- Article (1454)
- Doctoral Thesis (233)
- Part of Periodical (215)
- Preprint (169)
- Contribution to a Periodical (140)
- Working Paper (115)
- Book (88)
- Review (58)
- Bachelor Thesis (11)
- Master's Thesis (11)
Language
- English (1715)
- German (765)
- Portuguese (11)
- French (6)
- Spanish (4)
- Italian (3)
- Multiple languages (3)
- slo (3)
- Turkish (2)
Keywords
- Capital Markets Union (25)
- Financial Markets (25)
- Coronavirus (24)
- ECB (24)
- COVID-19 (23)
- inflammation (18)
- SARS-CoV-2 (15)
- coronavirus (15)
- Financial Institutions (13)
- Banking Regulation (12)
Institute
- Medizin (742)
- Präsidium (278)
- Physik (264)
- Wirtschaftswissenschaften (214)
- Sustainable Architecture for Finance in Europe (SAFE) (167)
- Biowissenschaften (159)
- Frankfurt Institute for Advanced Studies (FIAS) (149)
- Informatik (116)
- Biochemie, Chemie und Pharmazie (104)
- Neuere Philologien (95)
Objective: Clostridial gas gangrene (GG) or clostridial myonecrosis is a very rare but life‐threatening necrotizing soft tissue infection (NSTI) caused by anaerobic, spore‐forming, and gas‐producing clostridium subspecies. It is the most rapidly spreading and lethal infection in humans, also affecting muscle tissue. The high mortality, of up to 100%, in clostridial GG is mediated by potent bacterial exotoxins. Necrotizing fasciitis (NF) is an important differential diagnosis, most often caused by group A streptococci, primarily not affecting musculature but the subcutaneous tissue and fascia. In the early stages of the infection, it is difficult to distinguish between GG and NF. Therefore, we compare both infection types, identify relevant differences in initial clinical presentation and later course, and present the results of our patients in a retrospective review.
Methods: Patients diagnosed with GG from 2008 to 2018 in our level one trauma center were identified. Their charts were reviewed retrospectively and data analyzed in terms of demographic information, microbiological and histological results, therapeutic course, outcome, and mortality rates. The laboratory risk indicator for NF (LRINEC) score was applied on the first blood work acquired. Results were compared to those of a second group diagnosed with NF.
Results: Five patients with GG and nine patients with NF were included in the present study. Patients with GG had a mortality rate of 80% compared to 0% in patients with NF. In eight patients with NF, affected limbs could be salvaged; one NF underwent amputation. LRINEC did not show significant differences between the groups; however, C‐reactive protein was significantly increased (P = 0.009) and hemoglobin (Hb) was significantly decreased (P = 0.02) in patients with GG. Interleukin‐6 and procalcitonin levels did not show significant difference. Patients with GG were older (70.2 vs 50 years). Of the isolated bacteria, 86% were sensitive to the initial calculated antibiotic treatment with ampicillin‐sulbactam or imipenem plus metronidazole plus clindamycin.
Conclusion: Both GG and NF need full‐scale surgical, antibiotic, and intensive care treatment, especially within the first days. Among patients with NSTI, those with clostridial GG have a significantly increased mortality risk due to early septic shock caused by clostridial toxins. In the initial stages, clinical differences are hardly detectable. Immediate surgical debridement is the key to successful therapy for NSTI and needs to be performed as early as possible. However, patients should be treated in a center with an experienced interdisciplinary intensive care team based on a predetermined treatment plan.
Purpose: The Masquelet technique for the treatment of large bone defects is a two-stage procedure based on an induced membrane. Compared to mature periosteum, the induced membrane differs significantly. However, both play a crucial role in bone regeneration. As part of a histological and radiological post-evaluation of an earlier project, we analyzed the influence of the granule size of the bone void filler Herafill® on development of periosteum regrowth in a critical size defect.
Methods: We compared three different sizes of Herafill® granules (Heraeus Medical GmbH, Wehrheim) in vivo in a rat femoral critical size defect (10 mm) treated with the induced membrane technique. After 8 weeks healing time, femurs were harvested and taken for histological and radiological analysis.
Results: A significantly increased regrowth of periosteum into the defect was found when small granules were used. Large granules showed significantly increased occurrence of bone capping. Small granules lead to significant increase in callus formation in the vicinity to the membrane.
Conclusion: The size of Herafill® granules has significant impact on the development of periosteal-like structures around the defect using Masquelet’s induced membrane technique. Small granules show significantly increased regrowth of periosteum and improved bone formation adjacent to the induced membrane.
Dieses Buch ist so Mindfuck. [...] [D]ieses Buch lebt davon, dass man keinen Plan hat. Dass man, genau wie der Protagonist, keine Ahnung hat, was da eigentlich abgeht. [...] Wie der Protagonist hinterfragt man das, was man kennt, denkt sich zwischendurch »wtf« und ist sich einschließlich des Endes nie so ganz sicher, was jetzt eigentlich Sache ist. (Weltentraeumerin 2019)
Dieses Urteil der LovelyBooks-Rezensentin Weltentraeumerin über Patrick Ness’ Mehr als das (engl. EA More Than This) ist insofern repräsentativ, als fast alle der etwas ausführlicheren Rezensionen auf der Plattform hervorheben, dass die Lektüre dieses Buches mehr Fragen aufwirft als sie beantwortet...
Inhomogeneous phases in the Gross-Neveu model in 1 + 1 dimensions at finite number of flavors
(2020)
We explore the thermodynamics of the 1+1-dimensional Gross-Neveu (GN) model at a finite number of fermion flavors Nf, finite temperature, and finite chemical potential using lattice field theory. In the limit Nf→∞ the model has been solved analytically in the continuum. In this limit three phases exist: a massive phase, in which a homogeneous chiral condensate breaks chiral symmetry spontaneously; a massless symmetric phase with vanishing condensate; and most interestingly an inhomogeneous phase with a condensate, which oscillates in the spatial direction. In the present work we use chiral lattice fermions (naive fermions and SLAC fermions) to simulate the GN model with 2, 8, and 16 flavors. The results obtained with both discretizations are in agreement. Similarly as for Nf→∞ we find three distinct regimes in the phase diagram, characterized by a qualitatively different behavior of the two-point function of the condensate field. For Nf=8 we map out the phase diagram in detail and obtain an inhomogeneous region smaller as in the limit Nf→∞, where quantum fluctuations are suppressed. We also comment on the existence or absence of Goldstone bosons related to the breaking of translation invariance in 1+1 dimensions.
Systemic inflammation is associated with alterations in complex brain functions such as learning and memory. However, diagnostic approaches to functionally assess and quantify inflammation-associated alterations in synaptic plasticity are not well-established. In previous work, we demonstrated that bacterial lipopolysaccharide (LPS)-induced systemic inflammation alters the ability of hippocampal neurons to express synaptic plasticity, i.e., the long-term potentiation (LTP) of excitatory neurotransmission. Here, we tested whether synaptic plasticity induced by repetitive magnetic stimulation (rMS), a non-invasive brain stimulation technique used in clinical practice, is affected by LPS-induced inflammation. Specifically, we explored brain tissue cultures to learn more about the direct effects of LPS on neural tissue, and we tested for the plasticity-restoring effects of the anti-inflammatory cytokine interleukin 10 (IL10). As shown previously, 10 Hz repetitive magnetic stimulation (rMS) of organotypic entorhino-hippocampal tissue cultures induced a robust increase in excitatory neurotransmission onto CA1 pyramidal neurons. Furthermore, LPS-treated tissue cultures did not express rMS-induced synaptic plasticity. Live-cell microscopy in tissue cultures prepared from a novel transgenic reporter mouse line [C57BL/6-Tg(TNFa-eGFP)] confirms that ex vivo LPS administration triggers microglial tumor necrosis factor alpha (TNFα) expression, which is ameliorated in the presence of IL10. Consistent with this observation, IL10 hampers the LPS-induced increase in TNFα, IL6, IL1β, and IFNγ and restores the ability of neurons to express rMS-induced synaptic plasticity in the presence of LPS. These findings establish organotypic tissue cultures as a suitable model for studying inflammation-induced alterations in synaptic plasticity, thus providing a biological basis for the diagnostic use of transcranial magnetic stimulation in the context of brain inflammation.
Mechanistic understanding of dynamic membrane proteins such as transporters, receptors, and channels requires accurate depictions of conformational ensembles, and the manner in which they interchange as a function of environmental factors including substrates, lipids, and inhibitors. Spectroscopic techniques such as electron spin resonance (ESR) pulsed electron–electron double resonance (PELDOR), also known as double electron–electron resonance (DEER), provide a complement to atomistic structures obtained from x-ray crystallography or cryo-EM, since spectroscopic data reflect an ensemble and can be measured in more native solvents, unperturbed by a crystal lattice. However, attempts to interpret DEER data are frequently stymied by discrepancies with the structural data, which may arise due to differences in conditions, the dynamics of the protein, or the flexibility of the attached paramagnetic spin labels. Recently, molecular simulation techniques such as EBMetaD have been developed that create a conformational ensemble matching an experimental distance distribution while applying the minimal possible bias. Moreover, it has been proposed that the work required during an EBMetaD simulation to match an experimentally determined distribution could be used as a metric with which to assign conformational states to a given measurement. Here, we demonstrate the application of this concept for a sodium-coupled transport protein, BetP. Because the probe, protein, and lipid bilayer are all represented in atomic detail, the different contributions to the work, such as the extent of protein backbone movements, can be separated. This work therefore illustrates how ranking simulations based on EBMetaD can help to bridge the gap between structural and biophysical data and thereby enhance our understanding of membrane protein conformational mechanisms.
Electrical stimulation (EStim) has been shown to promote bone healing and regeneration both in animal experiments and clinical treatments. Therefore, incorporating EStim into promising new bone tissue engineering (BTE) therapies is a logical next step. The goal of current BTE research is to develop combinations of cells, scaffolds, and chemical and physical stimuli that optimize treatment outcomes. Recent studies demonstrating EStim’s positive osteogenic effects at the cellular and molecular level provide intriguing clues to the underlying mechanisms by which it promotes bone healing. In this review, we discuss results of recent in vitro and in vivo research focused on using EStim to promote bone healing and regeneration and consider possible strategies for its application to improve outcomes in BTE treatments. Technical aspects of exposing cells and tissues to EStim in in vitro and in vivo model systems are also discussed.
Finding subgroups in biomedical data is a key task in biomedical research and precision medicine. Already one-dimensional data, such as many different readouts from cell experiments, preclinical or human laboratory experiments or clinical signs, often reveal a more complex distribution than a single mode. Gaussian mixtures play an important role in the multimodal distribution of one-dimensional data. However, although fitting of Gaussian mixture models (GMM) is often aimed at obtaining the separate modes composing the mixture, current technical implementations, often using the Expectation Maximization (EM) algorithm, are not optimized for this task. This occasionally results in poorly separated modes that are unsuitable for determining a distinguishable group structure in the data. Here, we introduce “Distribution Optimization” an evolutionary algorithm to GMM fitting that uses an adjustable error function that is based on chi-square statistics and the probability density. The algorithm can be directly targeted at the separation of the modes of the mixture by employing additional criterion for the degree by which single modes overlap. The obtained GMM fits were comparable with those obtained with classical EM based fits, except for data sets where the EM algorithm produced unsatisfactory results with overlapping Gaussian modes. There, the proposed algorithm successfully separated the modes, providing a basis for meaningful group separation while fitting the data satisfactorily. Through its optimization toward mode separation, the evolutionary algorithm proofed particularly suitable basis for group separation in multimodally distributed data, outperforming alternative EM based methods.
Objective To evaluate the success of initiation of adjunctive brivaracetam in patients who required a change in antiepileptic drug (AED) regimen and substituted at least one AED with brivaracetam. Methods In this retrospective noninterventional study conducted in specialized epilepsy centers across Germany, patients initiated adjunctive brivaracetam between February 15, 2016, and August 31, 2016, as part of an intended change in AED regimen. The primary effectiveness variable was the proportion of patients who continued on brivaracetam after 3 months, and withdrew at least one AED either before or within 6 months after brivaracetam initiation. Results Five hundred and six patients had at least one brivaracetam dose and were included in the safety set (SS). Four hundred and seventy patients started to reduce the dose of one AED before/after brivaracetam initiation, had at least one concomitant AED at brivaracetam initiation, and were included in the full analysis set (FAS) for effectiveness analyses. At baseline, patients had a median of seven lifetime AEDs and a median of 3.8 seizures/28 days. In the SS, 85.2% of patients withdrew one AED before/after initiation of brivaracetam, most commonly levetiracetam (49.4%). 46.2% of patients substituted another AED with brivaracetam within 24 hours (fast withdrawal). The proportions of patients (FAS) who continued on brivaracetam after 3 and 6 months and withdrew one AED were 75.5% and 46.6%, respectively. After 6 months, 32.1% of patients were 50% responders; 13.0% were seizure‐free. In the SS, 34.6% of patients reported treatment‐emergent adverse events (TEAEs); 21.9% had TEAEs that were assessed by the treating physician as drug‐related. Incidences of behavioral AEs before (3‐month baseline) and after brivaracetam initiation in patients who withdrew levetiracetam were 19.2% and 8.0%, respectively (5.0% and 7.7% in patients who withdrew other AEDs). Significance Brivaracetam was effective and well‐tolerated in patients who required a change in AED drug regimen and initiated adjunctive brivaracetam in German clinical practice.
The design and operation of innovative nuclear systems requires a better knowledge of the capture and fission cross sections of the Pu isotopes. For the case of capture on 242Pu, a reduction of the uncertainty in the fast region down to 8-12% is required. Moreover, aiming at improving the evaluation of the fast energy range in terms of average parameters, the OECD NEA High Priority Request List (HPRL) requests high-resolution capture measurements with improved accuracy below 2 keV. The current uncertainties also affect the thermal point, where previous experiments deviate from each other by 20%. A fruitful collaboration betwen JGU Mainz and HZ Dresden-Rossendorf within the EC CHANDA project resulted in a 242Pu sample consisting of a stack of seven fission-like targets making a total of 95(4) mg of 242Pu electrodeposited on thin (11.5 μm) aluminum backings. This contribution presents the results of a set of measurements of the 242Pu(n, γ) cross section from thermal to 500 keV combining different neutron beams and techniques. The thermal point was determined at the Budapest Research Reactor by means of Neutron Activation Analysis and Prompt Gamma Analysis, and the resolved (1 eV - 4 keV) and unresolved (1 - 500 keV) resonance regions were measured using a set of four Total Energy detectors at the CERN n_TOF-EAR1.
During the first two days of August 2016 a seismic crisis occurred on Brava, Cabo Verde, which – according to observations based on a local seismic network – was characterized by more than a thousand volcano-seismic signals. Brava is considered an active volcanic island, although it has not experienced any historic eruptions. Seismicity significantly exceeded the usual level during the crisis. We report on results based on data from a temporary seismic-array deployment on the neighbouring island of Fogo at a distance of about 35 km. The array was in operation from October 2015 to December 2016 and recorded a total of 1343 earthquakes in the region of Fogo and Brava; 355 thereof were localized. On 1 and 2 August we observed 54 earthquakes, 25 of which could be located beneath Brava. We further evaluate the observations with regards to possible precursors to the crisis and its continuation. Our analysis shows a significant variation in seismicity around Brava, but no distinct precursory pattern. However, the observations suggest that similar earthquake swarms commonly occur close to Brava. The results further confirm the advantages of seismic arrays as tools for the remote monitoring of regions with limited station coverage or access.
During the first two days of August 2016 a seismic crisis occurred on Brava, Cape Verde, which – according to observations based on a local seismic network – was characterized by more than thousand volcano–seismic signals. Brava is considered an active volcanic island, although it has not experienced any historic eruptions. Seismicity significantly exceeded the usual level during the crisis. We report on results based on data from a temporary seismic–array deployment on the neighbouring island of Fogo at a distance of about 35 km. The array was in operation from October 2015 to December 2016 and recorded a total of 1343 earthquakes, 355 thereof were localized. On 1 and 2 August we observed 54 earthquakes, 25 of which could be located beneath Brava. We further evaluate the observations with regards to possible precursors to the crisis and its continuation. Our analysis shows a migration of seismicity around Brava, but no distinct precursory pattern. However, the observations suggest that similar earthquake swarms commonly occur close to Brava. The results further confirm the advantages of seismic arrays as tools for the remote monitoring of regions with limited station coverage or access.
Using an original dataset on professional networks of directors sitting on the boards of large US corporations, we examine how personal relationships are used by firms to improve job match quality in the high-skill segment of the labor market. Analyzing explicit social connection data between new hires and recruiters, we are able to test predictions of well established job referral models. We find that referred executive directors have a fifteen percent longer tenure than their non-referred counterparts. Referred executive directors also tend to be similar to their referrers on multiple dimensions, giving support to network homophily hypotheses.
The gamma rhythm has been implicated in neuronal communication, but causal evidence remains indirect. We measured spike output of local neuronal networks and emulated their synaptic input through optogenetics. Opsins provide currents through somato-dendritic membranes, similar to synapses, yet under experimental control with high temporal precision. We expressed Channelrhodopsin-2 in excitatory neurons of cat visual cortex and recorded neuronal responses to light with different temporal characteristics. Sine waves of different frequencies entrained neuronal responses with a reliability that peaked for input frequencies in the gamma band. Crucially, we also presented white-noise sequences, because their temporal unpredictability enables analysis of causality. Neuronal spike output was caused specifically by the input’s gamma component. This gamma-specific transfer function is likely an emergent property of in-vivo networks with feedback inhibition. The method described here could reveal the transfer function between the input to any one and the output of any other neuronal group.
Synchronization has been implicated in neuronal communication, but causal evidence remains indirect. We used optogenetics to generate depolarizing currents in pyramidal neurons of cat visual cortex, emulating excitatory synaptic inputs under precise temporal control, while measuring spike output. Cortex transformed constant excitation into strong gamma-band synchronization, revealing the well-known cortical resonance. Increasing excitation with ramps increased the strength and frequency of synchronization. Slow, symmetric excitation profiles revealed hysteresis of power and frequency. Crucially, white-noise input sequences enabled causal analysis of network transmission, establishing that cortical resonance selectively transmits coherent input components. Models composed of recurrently coupled excitatory and inhibitory units uncovered a crucial role of feedback inhibition and suggest that hysteresis can arise through spike-frequency adaptation. The presented approach provides a powerful means to investigate the resonance properties of local circuits and probe how these properties transform input and shape transmission.
The influence of biological maturity status (BMS) on talent identification and development within elite youth soccer is critically debated. During adolescence, maturity-related performance differences within the same age group may cause greater chances of being selected for early maturing players. Therefore, coaches need to consider players' BMS. While standard methods for assessing BMS in adolescents are expensive and time-consuming imaging techniques (i.e., X-ray and MRI), there also exist more pragmatic procedures. This study aimed to evaluate commonly used methods to assess BMS within a highly selected sample of youth soccer players. A total of N = 63 elite male soccer players (U12 and U14) within the German Soccer Association's talent promotion program completed a test battery assessing BMS outcomes. Utilizing MRI diagnostics, players' skeletal age (SAMRI) was determined by radiologists and served as the reference method. Further commonly used methods included skeletal age measured by an ultrasound device (SAUS), the maturity offset (MOMIR), and the percentage of adult height (PAHKR). The relation of these alternative BMS outcomes to SAMRI was examined using different perspectives: performing bivariate correlation analyses (1), modeling BMS as a latent variable (BMSlat) based on the multiple alternative diagnostics (2), and investigating individual differences in agreement (3). (1) Correlations of SAMRI and the further BMS variables ranked from r = 0.80 to r = 0.84 for the total sample and were lower for U12 (0.56 ≤ r ≤ 0.66), and U14 (0.61 ≤ r ≤ 0.74) (2). The latent structural equation modeling (SEM) (R2 = 51%) revealed a significant influence on BMSlat for MOMIR (β = 0.51, p <0.05). The additional contribution of PAHKR (β = 0.27, p = 0.06) and SAUS (β = −0.03, p = 0.90) was rather small (3). The investigation of individual differences between the reference method and alternative diagnostics indicated a significant bias for MOMIR (p <0.01). The results support the use of economical and time-efficient methods for assessing BMS within elite youth soccer. Bivariate correlation analyses as well as the multivariate latent variable approach highlight the measures' usefulness. However, the observed individual level differences for some of the utilized procedures led to the recommendation for practitioners to use at least two alternative assessment methods in order to receive more reliable information about players' BMS within the talent promotion process.
We use a set of hadronic equations of state derived from covariant density functional theory to study the impact of their high-density behavior on the properties of rapidly rotating Δ-resonance-admixed hyperonic compact stars. In particular, we explore systematically the effects of variations of the bulk energy isoscalar skewness, Qsat, and the symmetry energy slope, Lsym, on the masses of rapidly rotating compact stars. With models for equation of state satisfying all the modern astrophysical constraints, excessively large gravitational masses of around 2.5M⊙ are only obtained under three conditions: (a) strongly attractive Δ-resonance potential in nuclear matter, (b) maximally fast (Keplerian) rotation, and (c) parameter ranges Qsat≳500 MeV and Lsym≲50 MeV. These values of Qsat and Lsym have a rather small overlap with a large sample (total of about 260) parametrizations of covariant nucleonic density functionals. The extreme nature of requirements (a)-(c) reinforces the theoretical expectation that the secondary object involved in the GW190814 event is likely to be a low-mass black hole rather than a supramassive neutron star.
The layer‐by‐layer (LbL) method is a well‐established method for the growth of surface‐attached metal–organic frameworks (SURMOFs). Various experimental parameters, such as surface functionalization or temperature, have been identified as essential in the past. In this study, inspired by these recent insights regarding the LbL SURMOF growth mechanism, the impact of reactant solutions concentration on LbL growth of the Cu2(F4bdc)2(dabco) SURMOF (F4bdc2−=tetrafluorobenzene‐1,4‐dicarboxylate and dabco=1,4‐diazabicyclo‐[2.2.2]octane) in situ by using quartz‐crystal microbalance and ex situ with a combination of spectroscopic, diffraction and microscopy techniques was investigated. It was found that number, size, and morphology of MOF crystallites are strongly influenced by the reagent concentration. By adjusting the interplay of nucleation and growth, we were able to produce densely packed, yet thin films, which are highly desired for a variety of SURMOF applications.
This study proposes a novel multi-network architecture consisting of a multi-scale convolution neural network (MSCNN) with fully connected graph convolution network (GCN), named MSCNN-GCN, for the detection of musculoskeletal abnormalities via musculoskeletal radiographs. To obtain both detailed and contextual information for a better description of the characteristics of the radiographs, the designed MSCNN contains three subnetwork sequences (three different scales). It maintains high resolution in each sub-network, while fusing features with different resolutions. A GCN structure was employed to demonstrate global structure information of the images. Furthermore, both the outputs of MSCNN and GCN were fused through the concat of the two feature vectors from them, thus making the novel framework more discriminative. The effectiveness of this model was verified by comparing the performance of radiologists and three popular CNN models (DenseNet169, CapsNet, and MSCNN) with three evaluation metrics (Accuracy, F1 score, and Kappa score) using the MURA dataset (a large dataset of bone X-rays). Experimental results showed that the proposed framework not only reached the highest accuracy, but also demonstrated top scores on both F1 metric and kappa metric. This indicates that the proposed model achieves high accuracy and strong robustness in musculoskeletal radiographs, which presents strong potential for a feasible scheme with intelligent medical cases.
Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease causing dementia and poses significant health risks to middle-aged and elderly people. Brain magnetic resonance imaging (MRI) is the most widely used diagnostic method for AD. However, it is challenging to collect sufficient brain imaging data with high-quality annotations. Weakly supervised learning (WSL) is a machine learning technique aimed at learning effective feature representation from limited or low-quality annotations. In this paper, we propose a WSL-based deep learning (DL) framework (ADGNET) consisting of a backbone network with an attention mechanism and a task network for simultaneous image classification and image reconstruction to identify and classify AD using limited annotations. The ADGNET achieves excellent performance based on six evaluation metrics (Kappa, sensitivity, specificity, precision, accuracy, F1-score) on two brain MRI datasets (2D MRI and 3D MRI data) using fine-tuning with only 20% of the labels from both datasets. The ADGNET has an F1-score of 99.61% and sensitivity is 99.69%, outperforming two state-of-the-art models (ResNext WSL and SimCLR). The proposed method represents a potential WSL-based computer-aided diagnosis method for AD in clinical practice.
We present evidence on the way personal and institutional factors could together guide public company directors in decision-making concerning shareholders and stakeholders. In a sample comprising more than nine hundred directors originating from over fifty countries and serving in firms from twenty three countries, we confirm that directors around the world hold a principled, quasi-ideological stance towards shareholders and stakeholders, called shareholderism, on which they vary in line with their personal values. We theorize and find that in addition to personal values, directors’ shareholderism level associates with cultural norms that are conducive to entrepreneurship. Among legal factors, only creditor protection exhibits a negative correlation with shareholderism, while general legal origin and proxies for shareholder and employee protection are unrelated to it.
Cell fate clusters in ICM organoids arise from cell fate heredity and division: a modelling approach
(2020)
During the mammalian preimplantation phase, cells undergo two subsequent cell fate decisions. During the first decision, the trophectoderm and the inner cell mass are formed. Subsequently, the inner cell mass segregates into the epiblast and the primitive endoderm. Inner cell mass organoids represent an experimental model system, mimicking the second cell fate decision. It has been shown that cells of the same fate tend to cluster stronger than expected for random cell fate decisions. Three major processes are hypothesised to contribute to the cell fate arrangements: (1) chemical signalling; (2) cell sorting; and (3) cell proliferation. In order to quantify the influence of cell proliferation on the observed cell lineage type clustering, we developed an agent-based model accounting for mechanical cell–cell interaction, i.e. adhesion and repulsion, cell division, stochastic cell fate decision and cell fate heredity. The model supports the hypothesis that initial cell fate acquisition is a stochastically driven process, taking place in the early development of inner cell mass organoids. Further, we show that the observed neighbourhood structures can emerge solely due to cell fate heredity during cell division.
The formation of oligomers of the amyloid-β peptide plays a key role in the onset of Alzheimer's disease. We describe herein the investigation of disease-relevant small amyloid-β oligomers by mass spectrometry and ion mobility spectrometry, revealing functionally relevant structural attributes. In particular, we can show that amyloid-β oligomers develop in two distinct arrangements leading to either neurotoxic oligomers and fibrils or non-toxic amorphous aggregates. Comprehending the key-attributes responsible for those pathways on a molecular level is a pre-requisite to specifically target the peptide's tertiary structure with the aim to promote the emergence of non-toxic aggregates. Here, we show for two fibril inhibiting ligands, an ionic molecular tweezer and a hydrophobic peptide that despite their different interaction mechanisms, the suppression of the fibril pathway can be deduced from the disappearance of the corresponding structure of the first amyloid-β oligomers.
Duale Thrombozytenaggregationshemmung (‚dual antiplatelet therapy‘: DAPT) erhöht das Risiko für eine hämorrhagische Transformation (HT) von ischämischen Schlaganfällen nach Thrombolyse mit gewebespezifischem Plasminogenaktivator (‚tissue plasminogen activator‘: tPA). Bisherige klinische Studien waren jedoch nicht vollends eindeutig, ob diese erhöhte Blutungswahrscheinlichkeit tatsächlich zu einer schlechteren Ausgangssituation für Patienten führt. Viele sehen die initiale klinische Verschlechterung im Rahmen einer potenziellen HT durch den Nutzen der wiederhergestellten Rekanalisation verschlossener Gefäße aufgewogen. Aus diesem Grunde sollte tPA auch in Patienten angewendet werden, die einen Schlaganfall unter DAPT erleiden. Bisher sind der Pathomechanismus und die beteiligten Mediatoren der HT unverstanden. Allerdings könnte die Reduktion der tPA-assoziierten HT zu einer sichereren Anwendung der Thrombolyse beitragen und ihren Nutzen insgesamt weiter steigern. Daher war es Ziel dieser Studie, ein Schlaganfallmodell mit tPA-assoziierter HT in Mäusen unter DAPT zu etablieren, um damit erste Bewertungen therapeutischer Ansätze zur Begrenzung der HT zu ermöglichen.
Ein entscheidender Aspekt vorab war die Bestimmung der Thrombozytenfunktion in den behandelten Mäusen, um damit die Wirksamkeit der DAPT zu messen. Dies war besonders vor dem Hintergrund wichtig, dass DAPT bei Patienten unterschiedlich wirksam ist. So gibt es einen gewissen Anteil Patienten, der resistent gegenüber Aspirin und/oder anderen Thrombozytenaggregationshemmern wie Clopidogrel zu sein scheint. Daher galt es, dieses Phänomen in unserem Modell zu kontrollieren und etwaige Non-Responder zu identifizieren und gegebenenfalls auszuschließen. Dies ist bei herkömmlichen Methoden der Aggregometrie (dem Standardverfahren zur Messung der Thrombozytenfunktion und Therapieüberwachung von Thrombozytenaggregationshemmern) eine Herausforderung, da im Handel erhältliche Aggregometer Blutvolumina erfordern, die für eine Maus tödlich wären. Auch Schwanzblutungstests (sog. „tail bleeding tests“) versagen häufig, wenn sie nach einer experimentellen Schlaganfalloperation durchgeführt werden. Wir haben daher einen Durchflusszytometrie-basierten Ansatz zur Messung der in vitro Thrombozytenfunktion modifiziert, der nur geringe Blutvolumina erfordert und von uns erstmals in einem experimentellen Schlaganfallprotokoll eingesetzt wurde. Dieser zeigte eine signifikant reduzierte Thrombozytenfunktion nach DAPT mit Aspirin und Clopidogrel (ASA+CPG) an. Die Methode korrelierte gut mit Ergebnissen von zusätzlich durchgeführten Schwanzblutungstests und wird künftige präklinische Studien zur DAPT in Mäusen erleichtern. Obwohl es eine gewisse Variabilität in der Thrombozytenfunktion der behandelten Mäuse gab, identifizierten wir letztendlich keine Non-Responder.
Als nächstes zeigten wir erfolgreich, dass DAPT mit ASA+CPG in Mäusen beim experimentellen Schlaganfall zu vermehrter HT beiträgt. Wurde die DAPT mit einer tPA-Thrombolyse verbunden, erhöhte sich die HT-Rate sogar signifikant im Vergleich zu unbehandelten Mäusen mit und ohne tPA-Thrombolyse. Unser Modell kann nun genutzt werden, um die Mechanismen der HT weiter zu untersuchen. Noch wichtiger ist, dass die Einrichtung eines solchen Modells es Forschern ermöglicht, mögliche Strategien zur Minderung des Blutungsrisikos bei Patienten mit DAPT zu testen.
Zur Verringerung der HT wählten wir zwei verschiedene pharmakologische Strategien. Zunächst untersuchten wir die Reduktion der tPA Dosis, welche allerdings nicht erfolgreich vor hämorrhagischen Komplikationen schützen konnte. Danach fokussierten wir uns auf die Rolle der 12/15-Lipoxygenase (12/15-LOX) in unserem Modell. Verschiedene Vorarbeiten hatten gezeigt, dass die 12/15-LOX zum Untergang von Endothelzellen im ischämischen Gehirn beiträgt und damit wahrscheinlich eine ursächliche oder zumindest unterstützende Rolle in der Entstehung der HT hat. So wiederholten wir unsere Versuche der tPA-assoziierten HT unter DAPT in LOX-knockout Mäusen und inhibierten die 12/15-LOX pharmakologisch mit ML351. Wir zeigten erfolgreich, dass die Hemmung von 12/15-LOX in Wildtyp-Mäusen die Blutungsrate signifikant reduzierte und identifizierten die 12/15-LOX damit als geeigneten Kandidaten für weiterführende Studien zur Eindämmung sekundärer Schäden nach ischämischen Schlaganfall. Zudem wäre neben der therapeutischen, auch die prophylaktische Gabe von 12/15-LOX Inhibitoren in Hochrisikopatienten additiv zur Thrombolyse denkbar. Eine solche Blutungsprophylaxe könnte zu einer Indikationserweiterung der Lysetherapie beitragen und das funktionelle Langzeit-Ergebnis der Patienten verbessern.
Dual antiplatelet treatment (DAPT) increases the risk of tPA-associated hemorrhagic transformation (HT) in ischemic stroke. To investigate the effects of DAPT in rodents, reliable indicators of platelet function utilizing a minimally invasive procedure are required. We here established a fluorescence-based assay to monitor DAPT efficiency in a mouse model of ischemic stroke with HT. Male C57/BL6 mice were fed with aspirin and clopidogrel (ASA+CPG). Venous blood was collected, stimulated with thrombin, labeled with anti-CD41-FITC and anti-CD62P-PE, and analyzed by flow cytometry. Subsequently, animals were subjected to experimental stroke and tail bleeding tests. HT was quantified using NIH ImageJ software. In ASA+CPG mice, the platelet activation marker CD62P was reduced by 40.6 ± 4.2% (p < 0.0001) compared to controls. In vitro platelet function correlated inversely with tail bleeding tests (r = −0.8, p = 0.0033, n = 12). Twenty-four hours after drug withdrawal, platelet activation rates in ASA+CPG mice were still reduced by 20.2 ± 4.1% (p = 0.0026) compared to controls, while tail bleeding volumes were increased by 4.0 ± 1.4 μl (p = 0.004). Conventional tests using light transmission aggregometry require large amounts of blood and thus cannot be used in experimental stroke studies. In contrast, flow cytometry is a highly sensitive method that utilizes small volumes and can easily be incorporated into the experimental stroke workflow. Our test can be used to monitor the inhibitory effects of DAPT in mice. Reduced platelet activation is indicative of an increased risk for tPA-associated cerebral hemorrhage following experimental stroke. The test can be applied to individual animals and implemented flexibly prior and subsequent to experimental stroke.
Lyme disease (LD), which is caused by genospecies of the Borrelia burgdorferi sensu lato complex, is the most common vector-borne disease in the Northern hemisphere. Spirochetes are transmitted by Ixodes ticks and maintained in diverse vertebrate animal hosts. Following tick bite, spirochetes initially establish a localized infection in the skin. However, they may also disseminate hematogenously to several distal sites, including heart, joints, or the CNS. Because they need to survive in diverse microenvironments, from tick vector to mammalian hosts, spirochetes have developed multiple strategies to combat the numerous host defense mechanisms. One of these strategies includes the production of a number of complement-regulator acquiring surface proteins (CRASPs) which encompass CspA, CspZ, and OspE paralogs to blunt the complement pathway. These proteins are capable of preventing complement activation on the spirochete surface by binding to complement regulator Factor H. The genes encoding these CRASPs differ in their expression patterns during the tick-to-host infection cycle, implying that these proteins may exhibit different functions during infection. This review summarizes the recent published reports which investigated the roles that each of these molecules plays in conferring tick-borne transmission and dissemination in vertebrate hosts. These findings offer novel mechanistic insights into LD pathobiology and may facilitate the identification of new targets for preventive strategies against Lyme borreliosis.
Stellenwert der Teststreifen-basierten Analyse der INR für die Behandlung von Blutungskomplikationen
(2020)
Das Ziel der hier vorliegenden Studie war es einen Zusammenhang zwischen den Ergebnissen von konventioneller versus Teststreifen-basierter INR-Messung zu untersuchen und die Analysedauern der beiden Methoden zu vergleichen. Wir haben in dieser prospektiven Mono-Center Studie 24 hämorrhagische Patienten und Patientinnen inkludiert und aus infrastrukturellen Gesichtspunkten in zwei Gruppenkollektive aufgeteilt. Das eine Studienkollektiv bildeten 12 hämorrhagische Patientinnen der Klinik für Gynäkologie und Geburtshilfe des Universitätsklinikums Frankfurt. Die Blutproben dieser Patientinnen wurden mittels einem personengebundenen Transportdienst in das Zentrallabor der Universitätsklinik geliefert. Das zweite Gruppenkollektiv bildeten 12 Patienten aus dem Schockraum der zentralen Notaufnahme. Die Blutproben dieses Kollektivs wurden mittels Rohrpost direkt in das Zentrallabor übermittelt. Wir untersuchten mittels konventioneller Gerinnungsdiagnostik und mittels Teststreifen-basierter POC-Diagnostik (CoaguChek II Pro®, PT Test, Roche Diagnostics AG) die INR eines jeden Patienten. Zudem erfolgte die Erfassung von Transport- und Analysedauer. Für die Auswertung der Daten errechneten wir die Spearman-Korrelationskoeffizienten sowohl auf Gruppenebene als auch für das Gesamtkollektiv und führten eine Bland-Altman Analyse zum direkten Methodenvergleich durch.
Es zeigte sich, dass die mittels POCT ermittelte INR im Gesamtkollektiv signifikant mit den im Zentrallabor gemessenen Werten korreliert (r=0,79). Auch auf Gruppenebene zeigte sich in Gruppe 1 (Schockraum) r=0,91 und in Gruppe 2 (Kreißsaal) r=0,83 eine signifikante Korrelation. Die Bland-Altmann Analyse ergab, dass die Ergebnisse der Teststreifen-basierten POC-Methode um 0,082 (SD±0,19) niedriger waren als die Ergebnisse der konventionellen Gerinnungstests. Die Untersuchung der Analyse- und Transportzeiten brachte hervor, dass die Bereitstellungsdauer der POC-Messmethode signifikant kürzer war (2 (1,04/2,85) Minuten) als die Dauer bis zur elektronischen Ergebnisbereitstellung nach laboranalytischen Untersuchungen (58,2 (38,28/88) Minuten). Es ergab sich zudem, dass die Transportdauer mittels Rohrpost mit 8 (3,25/10,1) Minuten signifikant kürzer war als die des personengebundenen Transportdienstes 18,5 (14,5/33) Minuten (p<0,001).Die in der Studie ermittelten konsistenten Ergebnisse lassen vermuten, dass Teststreifen-basierte Systeme als Methoden zur Notfalldiagnostik hämorrhagischer Patienten geeignet sein können, weil ihre Messergebnisse verglichen mit der klassischen Gerinnungsdiagnostik im Zentrallabor deutlich schneller und mit vergleichbarer Ergebnisqualität vorliegen. Die Teststreifen-basierten Methoden können als diagnostische Elemente in Hämotherapie-Algorithmen eingesetzt werden und dazu beitragen, eine zeitnahe und zielgerichtete Hämotherapie umzusetzen, die sich positiv auf das klinische Ergebnis der Patienten auswirken kann.
Since the publication of Nikolas Rose’s ‘The Politics of Life Itself’ (2001) there has been vivid discussion about how biopolitical governance has changed over the last decades. This article uses what Rose terms ‘molecular politics’, a new socio-technical grip on the human body, as a contrasting background to ask anew his question ‘What, then, of biopolitics today?’ – albeit focusing not on advances in genetics, microbiology, and pharmaceutics, as he does, but on the rapid proliferation of wearables and other sensor-software gadgets. In both cases, new technologies providing information about the individual body are the common ground for governance and optimization, yet for the latter, the target is habits of moving, eating and drinking, sleeping, working and relaxing. The resulting profound differences are carved out along four lines: ‘somatic identities’ and a modified understanding of the body; the role of ‘expert knowledge’ compared to that of networks of peers and self-experimentation; the ‘types of intervention’ by which new technologies become effective in our everyday life; and the ‘post-discipline character’ of molecular biopolitics. It is argued that, taken together, these differences indicate a remarkable shift which could be termed aretaic: its focus is not ‘life itself’ but ‘life as it is lived’, and its modality are new everyday socio-technical entanglements and their more-than-human rationalities of (self-)governance.
Hintergrund
Obwohl Feedback ein wichtiges und gut untersuchtes Element der medizinischen Ausbildung darstellt, wird es trotz eines großen Bedarfs der Studierenden sowohl im Unterricht als auch in Prüfungssituationen nur selten angewendet. Die Frankfurter Medizinstudierenden beklagen besonders, dass sie zu ihren Objective Structured Clinical Examinations (OSCEs) als Abschlussprüfung im Fach Chirurgie bisher kein detailliertes Feedback erhalten. Auch die Prüfenden beklagen häufig, dass sie die Studierenden weder für herausragende Leistungen loben noch über auftretende Fehler informieren können.
Ziel dieser Arbeit ist deshalb die Erstellung und Implementierung eines strukturierten schriftlichen Feedbacks in eine bestehende OSCE-Prüfung im Fach Chirurgie, das an den Bedürfnissen sowohl der Studierenden als auch der Prüfenden orientiert ist.
Material und Methoden
Das Studiendesign war prospektiv. Im ersten Schritt wurde eine Befragung erfahrener OSCE-Prüfender durchgeführt, um zu erheben, welches Feedback sie gerne an Studierende weitergeben würden. Basierend hierauf wurde ein erster Feedbackbogen erstellt. Dieser umfasste neben vorformulierten Aussagen auch die Möglichkeit Freitextkommentare zu geben und wurde von den Prüfenden für jeden Studierenden in der Wechselzeit zwischen den OSCE-Stationen ausgefüllt. Die Feedbackbögen wurden anschließend eingescannt und per E- Mail an die Studierenden geschickt. Im Anschluss hieran erfolgte eine webbasierte Befragung der Studierenden und der OSCE-Prüfenden, sowie eine tiefergehende Befragung der Studierenden in Form von Fokusgruppen- Interviews.
Basierend auf den Ergebnissen der Umfragen und der Fokusgruppen wurden die Feedbackbögen nochmals grundlegend überarbeitet und im folgenden OSCE erneut angewendet. Die Zufriedenheit der Prüfenden und Studierenden wurde analog zur ersten Befragung erhoben.
Ergebnisse
Insgesamt nahmen 351 Studierende und 51 Prüfende in beiden OSCEs an der Studie teil. In der abschließenden Online-Evaluation gaben 87,5% der Studierenden und 91,6% der Prüfenden an, dass sie zustimmen oder eher zustimmen, dass das schriftliche Feedback in zukünftigen OSCE-Prüfungen weiterhin angewendet werden soll. Mehr als 50% der Studierenden gaben jedoch an, dass das Feedback noch nicht konkret genug sei.
Mehr als ein Viertel der Prüfenden gab an, dass das Ausfüllen der Feedbackbögen zeitlich herausfordernd sei. In allen Fokusgruppen wurde das schriftliche Feedback durch die Studierenden befürwortet.
Schlussfolgerung
Die Implementierung eines strukturierten schriftlichen Feedbacks in einen OSCE ist problemlos möglich. Das schriftliche Feedback wird sowohl von den Prüfenden als auch von den Studierenden als nützlich empfunden.
Ferroptosis, a newly discovered form of cell death mediated by reactive oxygen species (ROS) and lipid peroxidation, has recently been shown to have an impact on various cancer types; however, so far there are only few studies about its role in hepatocellular carcinoma (HCC). The delicate equilibrium of ROS in cancer cells has found to be crucial for cell survival, thus increased levels may trigger ferroptosis in HCC.In our study, we investigated the effect of different ROS modulators and ferroptosis inducers on a human HCC cell line and a human hepatoblastoma cell line. We identified a novel synergistic cell death induction by the combination of Auranofin and buthionine sulfoxime (BSO) or by Erastin and BSO at subtoxic concentrations. We found a caspase-independent, redox-regulated cell death, which could be rescued by different inhibitors of ferroptosis. Both cotreatments stimulated lipid peroxidation. All these findings indicated ferroptotic cell death. Both cotreatments affected the canonical ferroptosis pathway through GPX4 downregulation. We also found an accumulation of Nrf2 and HO-1, indicating an additional effect on the non-canonical pathway. Our results implicate that targeting these two main ferroptotic pathways simultaneously can overcome chemotherapy resistance in HCC.
Participation in further education is a central success factor for economic growth and societal as well as individual development. This is especially true today because in most industrialized countries, labor markets and work processes are changing rapidly. Data on further education, however, show that not everybody participates and that different social groups participate to different degrees. Activities in continuous vocational education and training (CVET) are mainly differentiated as formal, non-formal and informal CVET, whereby further differences between offers of non-formal and informal CVET are seldom elaborated. Furthermore, reasons for participation or non-participation are often neglected. In this study, we therefore analyze and compare predictors for participation in both forms of CVET, namely, non-formal and informal. To learn more about the reasons for participation, we focus on the individual perspective of employees (invidual factors, job-related factors, and learning biography) and additionally integrate institutional characteristics (workplace and company-based characteristics). The results mainly show that non-formal CVET is still strongly influenced by institutional settings. In the case of informal CVET, on the other hand, the learning biography plays a central role.
Signal transfer of visual stimuli to V4 occurs in gamma-rhythmic, pulsed information packages
(2020)
Summary Selective visual attention allows the brain to focus on behaviorally relevant information while ignoring irrelevant signals. As a possible mechanism, routing by synchronization was proposed: neural populations sending attended signals align their gamma-rhythmic activities with receiving populations, such that spikes from the senders arrive at excitability peaks of the receivers, enhancing signal transfer. Conversely, the non-attended signals arrive unaligned to the receiver’s oscillation, reducing signal transfer. Therefore, visual signals should be transferred through periodically pulsed information packages, resulting in a modulation of the stimulus content within the receiver’s activity by its gamma phase and amplitude. To test this prediction, we quantified gamma phase-specific stimulus content within neural activity from area V4 of macaques performing a visual attention task. For the attended stimulus we find enhanced stimulus content reaching its maximum near excitability peaks, with effect magnitude increasing with oscillation amplitude, establishing a functional link between selective processing and gamma activity.
Introduction: In the development of bio-enabling formulations, innovative in vivo predictive tools to understand and predict the in vivo performance of such formulations are needed. Etravirine, a non-nucleoside reverse transcriptase inhibitor, is currently marketed as an amorphous solid dispersion (Intelence® tablets). The aims of this study were 1) to investigate and discuss the advantages of using biorelevant in vitro setups in simulating the in vivo performance of Intelence® 100 mg and 200 mg tablets, in the fed state, 2) to build a Physiologically Based Pharmacokinetic (PBPK) model by combining experimental data and literature information with the commercially available in silico software Simcyp® Simulator V17.1 (Certara UK Ltd.), and 3) to discuss the challenges when predicting the in vivo performance of an amorphous solid dispersion and identify the parameters which influence the pharmacokinetics of etravirine most.
Methods: Solubility, dissolution and transfer experiments were performed in various biorelevant media simulating the fasted and fed state environment in the gastrointestinal tract. An in silico PBPK model for healthy volunteers was developed in the Simcyp® Simulator, using in vitro results and data available from the literature as input. The impact of pre- and post-absorptive parameters on the pharmacokinetics of etravirine was investigated using simulations of various scenarios.
Results: In vitro experiments indicated a large effect of naturally occurring solubilizing agents on the solubility of etravirine. Interestingly, supersaturated concentrations of etravirine were observed over the entire duration of dissolution experiments on Intelence® tablets. Coupling the in vitro results with the PBPK model provided the opportunity to investigate two possible absorption scenarios, i.e. with or without implementation of precipitation. The results from the simulations suggested that a scenario in which etravirine does not precipitate is more representative of the in vivo data. On the post-absorptive side, it appears that the concentration dependency of the unbound fraction of etravirine in plasma has a significant effect on etravirine pharmacokinetics.
Conclusions: The present study underlines the importance of combining in vitro and in silico biopharmaceutical tools to advance our knowledge in the field of bio-enabling formulations. Future studies on other bio-enabling formulations can be used to further explore this approach to support rational formulation design as well as robust prediction of clinical outcomes.
Die Forschung beschrieben in dieser Dissertation ist ein Teil der "European Research and Innovation Programme - PEARRL", und wurde von Horizon 2020 Marie Sklodowska-Curie actions der Europäischen Union, unter Förderungsnummer 674909 unterstützt.
In den letzten Jahren, wurde Senkung der Intensität der pharmazeutischen Forschung und Entwicklung beobachtet, da die Weiterentwicklung der Wirkstoffmolekülen hinzu einer "handlichen" Formulierung viele Schwierigkeiten aufweist. Meiste der neuen Wirkstoffkandidaten, die sich in Entwicklung befinden, haben suboptimale Eigenschaften in Bezug zur Löslichkeit und Auflösung und zeigen schlechte Bioverfügbarkeit, wenn eingenommen. Deswegen verlangen meiste neue Wirkstoffkandidate einen besonderen Ansatz in Bezug auf Formulierung, um akzeptable orale Bioverfügbarkeit zu erreichen. Diese neue Formulierungen werden meistens als “bio-enabling” Formulierungen bezeichnet und werden in Heilmittelentwicklung immer häufiger verwendet.
Hauptziel dieser Dissertation ist zu erforschen ob, durch Verbinden von biorelevanten in vitro Werkzeugen mit in silico Modeling und Simulationen, die in vitro Löslichkeit und Auflösung von bio-enabling Formulierungen mechanistisch erkläert und besser verstanden werden kann und somit eine erfolgreiche Simulation von in vivo Leistung erreicht werden kann.
Als Erstes wurden die physiologische Parameter, die die pharmakokinetik oraler Formulierungen beeinflüssen, identifiziert, indem die Auswirkung der Wirkstoffe, die zur Behandlung Magen-Darm-Krankheiten genutzt werden, sowie deren Pharmakokinetik, beurteilt wurde. Unter anderem wurde pH als einer der entscheinenden phyisiologischen Parameter erkannt, da es die Pharmakokinetik peroral verabreichter Stoffe signifikant beeinflüssen kann.
Als zweiter Schritt, mit besonderer Beachtung auf die Verwendung der biorelevanten in vitro Werkzeugen für die Erforschung der in vivo Auflösungsprozesse von bio-enabling Formulierungen, Fokus auf die biorelevante Medien und in vitro Apparaturen, die mögliche Prezipitationskinetik einschätzen können, wurde gesetzt. Biorelevante Medien sind wässrige Flüssigkeiten, die die Zusammensetzung der gastrointestinaler Flüssigkeiten nachmachen und für die Auflösungsuntersuchungen genutzt werden. Bis heute beinhalten die Aspirationsstudien die wichtigsten Hinweise und Informationen für den Design biorelevanter Medien. Es wurde beobachtet, dass die berichteten Werte mancher phyisiologisher Parameter erhebliche Unterschiede zwischen den Aspirationsstudien zeigen. Deswegen wurde untersucht, ob die Ergebnisse durch die Auswahl an Methodologie, die für die Entnahme und die Auswertung der Proben genutzt worden sind, beeinflusst werden können, wobei besondere Aufmerksamkeit den pH und der Pufferkapazität geschenkt wurde. Es wurde gezeigt, dass Unterschiede im Prozess der Probenhandhabung, z.B. Zentrifugieren und Lagerung einen deutlichen Einfluss auf die gemessenen Werte haben kann. Ausserdem, wurden in dieser Arbeit die in vitro Setups, die bisher in der Literatur zur Beurteilung der Übersättigung u.o. Ausfällung von Arzneimitteln im oberen Magen-Darm-Trakt vorgeschlagen wurden, überprüft und ihre Nützlichkeit und aktuelle Anwendung bewertet.
Nach Behebung der oben genannten Probleme, wurden zwei Fallbeispielformulierungen ausgewählt, um die Haupthypothese zu untersuchen. Die erste Formulierung ist auf den Markt unter dem Namen EMEND® und enthält den Wirkstoff in Nanoform. Die zweite Formulierung wird als INTELENCE® vermarktet und ist eine amorphe feste Dispersion des Wirkstoffs Etravirin. Durch die Wahl zwei unterschiedlicher Formulierungsansätzen konnten unterschiedliche Fallszenarien untersucht werden, wodurch umfassendere Vorschläge für die Bewältigung der Herausforderungen bei in vitro Experimenten und in silico Modelling mit bio-enabling Formulierungen möglich waren.
Bezogen auf den in dieser Dissertation beschriebenen Ansatz, ein mechanistisches Verständnis des in vivo Absorptionsprozesses, sowie eine erfolgreiche Simulation der nach der Verabreichung resultierenden Plasmaprofile einer bio-enabling-Formulierung der Nanoskala- und einer amorphen festen Dispersion wurde erreicht. Darüber hinaus wurden mögliche Wege vorgeschlagen, um einige Herausforderungen im Hinblick auf die Entwicklung von PBPK-Modellen für biofähige Formulierungen anzugehen. Diese Arbeit zeigt die mögliche Anwendung und Bedeutung der Absorptionsmodellierung für die rationale Formulierungsentwicklung und für die Stärkung des Wissens über Bio-Heilmittel in Bezug auf bio-enabling Formulierungen. Mithilfe dieses Ansatzes können die wesentlichen Parameter identifiziert werden, die das pharmakokinetische Verhalten schwerlöslicher Wirkstoffe beeinflussen, die als bio-enabling Formulierungen formuliert sind, und ermöglichen wiederum eine robuste Vorhersage der klinischen Ergebnisse.
Drug resistance is an obstacle in the therapy of acute lymphoblastic leukemia (ALL). Whether the physical properties such as the motility of the cells contribute to the survival of ALL cells after drug treatment has recently been of increasing interest, as they could potentially allow the metastasis of solid tumor cells and the migration of leukemia cells. We hypothesized that chemotherapeutic treatment may alter these physical cellular properties. To investigate the motility of chemotherapeutics-treated B-cell ALL (B-ALL) cells, patient-derived B-ALL cells were treated with chemotherapy for 7 days and left for 12 h without chemotherapeutic treatment. Two parameters of motility were studied, velocity and migration distance, using a time-lapse imaging system. The study revealed that compared to non-chemotherapeutically treated B-ALL cells, B-ALL cells that survived chemotherapy treatment after 7 days showed reduced motility. We had previously shown that Tysabri and P5G10, antibodies against the adhesion molecules integrins α4 and α6, respectively, may overcome drug resistance mediated through leukemia cell adhesion to bone marrow stromal cells. Therefore, we tested the effect of integrin α4 or α6 blockade on the motility of chemotherapeutics-treated ALL cells. Only integrin α4 blockade decreased the motility and velocity of two chemotherapeutics-treated ALL cell lines. Interestingly, integrin α6 blockade did not affect the velocity of chemoresistant ALL cells. This study explores the physical properties of the movements of chemoresistant B-ALL cells and highlights a potential link to integrins. Further studies to investigate the underlying mechanism are warranted.
An increasing number of individuals work in jobs with little standardization and repetition, that is, with high levels of job non‐routinization. At the same time, demands for creativity are high, which raises the question of how employees can use job non‐routinization to develop creativity. Acknowledging the importance of social processes for creativity, we propose that transformational leaders raise feelings of organizational identification in followers and that this form of identification then helps individuals to develop creativity in jobs with little routinization. This is because organizational members evaluate and promote those ideas as more creative, which are in line with a shared understanding of creativity within the organization. To investigate these relationships, we calculated a mediated moderation model with 173 leader–follower dyads from China. Results confirm our hypotheses that transformational leadership moderates the relationship between job non‐routinization on employee creativity through organizational identification. We conclude that raising feelings of social identity is a key task for leaders today, especially when working in uncertain and fast developing environments with little repetition and the constant need to develop creative ideas.
Natural science is only just beginning to understand the complex processes surrounding transcription. Epitranscriptional regulation is in large parts conveyed by transcription factors (TFs) and two recently discovered small RNA (smRNA) species: microRNAs (miRNAs) and transfer RNA fragments (tRFs). As opposed to the fairly well-characterised function of TFs in shaping the phenotype of the cell, the effects and mechanism of action of smRNA species is less well understood. In particular, the multi-levelled combinatorial interaction (many-to-many) of smRNAs presents new challenges to molecular biology. This dissertation contributes to the study of smRNA dynamics in mammalian cells in several ways, which are presented in three main chapters.
I) The exhaustive analysis of the many-to-many network of smRNA regulation is reliant on bioinformatic support. Here, I describe the development of an integrative database capable of fast and efficient computation of complex multi-levelled transcriptional interactions, named miRNeo. This infrastructure is then applied to two use cases. II) To elucidate smRNA dynamics of cholinergic systems and their relevance to psychiatric disease, an integrative transcriptomics analysis is performed on patient brain sample data, single-cell sequencing data, and two closely related in vitro human cholinergic cellular models reflecting male and female phenotypes. III) The dynamics between small and large RNA transcripts in the blood of stroke victims are analysed via a combination of sequencing, analysis of sorted blood cell populations, and bioinformatic methods based on the miRNeo infrastructure. Particularly, importance and practicality of smRNA:TF:gene feedforward loops are assessed.
In both analytic scenarios, I identify the most pertinent regulators of disease-relevant processes and biological pathways implicated in either pathogenesis or responses to the disease. While the examples described in chapters three and four of this dissertation are disease-specific applications of miRNeo, the database and methods described have been developed to be applicable to the whole genome and all known smRNAs.
Background: Physiologically-based population pharmacokinetic modeling (popPBPK) coupled with in vitro biopharmaceutics tools such as biorelevant dissolution testing can serve as a powerful tool to establish virtual bioequivalence and set clinically relevant specifications. One of several applications of popPBPK modeling is in the emerging field of virtual bioequivalence (VBE), where it can be used to streamline drug development by implementing model-informed formulation design and to inform regulatory decision-making e.g., with respect to evaluating the possibility of extending BCS-based biowaivers beyond BCS Class I and III compounds in certain cases.
Methods: In this study, Naproxen, a BCS class II weak acid was chosen as the model compound. In vitro biorelevant solubility and dissolution experiments were performed and the resulting data were used as an input to the PBPK model, following a stepwise workflow for the confirmation of the biopharmaceutical parameters. The naproxen PBPK model was developed by implementing a middle-out approach and verified against clinical data obtained from the literature. Once confidence in the performance of the model was achieved, several in vivo dissolution scenarios, based on model-based analysis of the in vitro data, were used to simulate clinical trials in healthy adults. Inter-occasion variability (IOV) was also added to critical physiological parameters and mechanistically propagated through the simulations. The various trials were simulated on a “worst/best case” dissolution scenario and average bioequivalence was assessed according to Cmax, AUC and tmax.
Results: VBE results demonstrated that naproxen products with in vitro dissolution reaching 85% dissolved within 90 minutes would lie comfortably within the bioequivalence limits for Cmax and AUC. Based on the establishment of VBE, a dissolution “safe space” was designed and a clinically relevant specification for naproxen products was proposed. The interplay between formulation-related and drug-specific PK parameters (e.g., t1/2) to predict the in vivo performance was also investigated.
Conclusion: Over a wide range of values, the in vitro dissolution rate is not critical for the clinical performance of naproxen products and therefore naproxen could be eligible for BCS-based biowaivers based on in vitro dissolution under intestinal conditions. This approach may also be applicable to other poorly soluble acidic compounds with long half-lives, providing an opportunity to streamline drug development and regulatory decision-making without putting the patient at a risk.
Physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) models can serve as a powerful framework for predicting the influence as well as the interaction of formulation, genetic polymorphism and co-medication on the pharmacokinetics and pharmacodynamics of drug substances. In this study, flurbiprofen, a potent non-steroid anti-inflammatory drug, was chosen as a model drug. Flurbiprofen has absolute bioavailability of ~95% and linear pharmacokinetics in the dose range of 50–300 mg. Its absorption is considered variable and complex, often associated with double peak phenomena, and its pharmacokinetics are characterized by high inter-subject variability, mainly due to its metabolism by the polymorphic CYP2C9 (fmCYP2C9 ≥ 0.71). In this study, by leveraging in vitro, in silico and in vivo data, an integrated PBPK/PD model with mechanistic absorption was developed and evaluated against clinical data from PK, PD, drug-drug and gene-drug interaction studies. The PBPK model successfully predicted (within 2-fold) 36 out of 38 observed concentration-time profiles of flurbiprofen as well as the CYP2C9 genetic effects after administration of different intravenous and oral dosage forms over a dose range of 40–300 mg in both Caucasian and Chinese healthy volunteers. All model predictions for Cmax, AUCinf and CL/F were within two-fold of their respective mean or geometric mean values, while 90% of the predictions of Cmax, 81% of the predictions of AUCinf and 74% of the predictions of Cl/F were within 1.25 fold. In addition, the drug-drug and drug-gene interactions were predicted within 1.5-fold of the observed interaction ratios (AUC, Cmax ratios). The validated PBPK model was further expanded by linking it to an inhibitory Emax model describing the analgesic efficacy of flurbiprofen and applying it to explore the effect of formulation and genetic polymorphisms on the onset and duration of pain relief. This comprehensive PBPK/PD analysis, along with a detailed translational biopharmaceutic framework including appropriately designed biorelevant in vitro experiments and in vitro-in vivo extrapolation, provided mechanistic insight on the impact of formulation and genetic variations, two major determinants of the population variability, on the PK/PD of flurbiprofen. Clinically relevant specifications and potential dose adjustments were also proposed. Overall, the present work highlights the value of a translational PBPK/PD approach, tailored to target populations and genotypes, as an approach towards achieving personalized medicine.
In this review, we focus on the ubiquitination process within the endoplasmic reticulum associated protein degradation (ERAD) pathway. Approximately one third of all synthesized proteins in a cell are channeled into the endoplasmic reticulum (ER) lumen or are incorporated into the ER membrane. Since all newly synthesized proteins enter the ER in an unfolded manner, folding must occur within the ER lumen or co-translationally, rendering misfolding events a serious threat. To prevent the accumulation of misfolded protein in the ER, proteins that fail the quality control undergo retrotranslocation into the cytosol where they proceed with ubiquitination and degradation. The wide variety of misfolded targets requires on the one hand a promiscuity of the ubiquitination process and on the other hand a fast and highly processive mechanism. We present the various ERAD components involved in the ubiquitination process including the different E2 conjugating enzymes, E3 ligases, and E4 factors. The resulting K48-linked and K11-linked ubiquitin chains do not only represent a signal for degradation by the proteasome but are also recognized by the AAA+ ATPase Cdc48 and get in the process of retrotranslocation modified by enzymes bound to Cdc48. Lastly we discuss the conformations adopted in particular by K48-linked ubiquitin chains and their importance for degradation.
Central nervous hyperarousal is as a key component of current pathophysiological concepts of chronic insomnia disorder. However, there are still open questions regarding its exact nature and the mechanisms linking hyperarousal to sleep disturbance. Here, we aimed at studying waking state hyperarousal in insomnia by the perspective of resting-state vigilance dynamics. The VIGALL (Vigilance Algorithm Leipzig) algorithm has been developed to investigate resting-state vigilance dynamics, and it revealed, for example, enhanced vigilance stability in depressive patients. We hypothesized that patients with insomnia also show a more stable vigilance regulation. Thirty-four unmedicated patients with chronic insomnia and 25 healthy controls participated in a twenty-minute resting-state electroencephalography (EEG) measurement following a night of polysomnography. Insomnia patients showed enhanced EEG vigilance stability as compared to controls. The pattern of vigilance hyperstability differed from that reported previously in depressive patients. Vigilance hyperstability was also present in insomnia patients showing only mildly reduced sleep efficiency. In this subgroup, vigilance hyperstability correlated with measures of disturbed sleep continuity and arousal. Our data indicate that insomnia disorder is characterized by hyperarousal at night as well as during daytime.
Age-related diseases pose great challenges to health care systems worldwide. During aging, endothelial senescence increases the risk for cardiovascular disease. Recently, it was described that Phosphatase 1 Nuclear Targeting Subunit (PNUTS) has a central role in cardiomyocyte aging and homeostasis. Here, we determined the role of PNUTS in endothelial cell aging. We confirmed that PNUTS is repressed in senescent endothelial cells (ECs). Moreover, PNUTS silencing elicits several of the hallmarks of endothelial aging: senescence, reduced angiogenesis and loss of barrier function. To validate our findings in vivo, we generated an endothelial-specific inducible PNUTS-deficient mouse line (Cdh5-CreERT2;PNUTSfl/fl), termed PNUTSEC-KO. Two weeks after PNUTS deletion, PNUTSEC-KO mice presented severe multiorgan failure and vascular leakage. We showed that the PNUTS binding motif for protein phosphatase 1 (PP1) is essential to maintain endothelial barrier function. Transcriptomic analysis of PNUTS-silenced HUVECs and lungs of PNUTSEC-KO mice revealed that the PNUTS-PP1 axis tightly regulates the expression of semaphorin 3B (SEMA3B). Indeed, silencing of SEMA3B completely restored barrier function after PNUTS loss-of-function. These results reveal a pivotal role for PNUTS in endothelial homeostasis through a PP1-SEMA3B downstream pathway that provides a potential target against the effects of aging in ECs.
Background: A prototype of a noninvasive glucometer combining skin excitation by a mid-infrared quantum cascade laser with photothermal detection was evaluated in glucose correlation tests including 100 volunteers (41 people with diabetes and 59 healthy people).
Methods: Invasive reference measurements using a clinical glucometer and noninvasive measurements at a finger of the volunteer were simultaneously recorded in five-minute intervals starting from fasting glucose values for healthy subjects (low glucose values for diabetes patients) over a two-hour period. A glucose range from >50 to <350 mg/dL was covered. Machine learning algorithms were used to predict glucose values from the photothermal spectra. Data were analyzed for the average percent disagreement of the noninvasive measurements with the clinical reference measurement and visualized in consensus error grids.
Results: 98.8% (full data set) and 99.1% (improved algorithm) of glucose results were within Zones A and B of the grid, indicating the highest accuracy level. Less than 1% of the data were in Zone C, and none in Zone D or E. The mean and median percent differences between the invasive as a reference and the noninvasive method were 12.1% and 6.5%, respectively, for the full data set, and 11.3% and 6.4% with the improved algorithm.
Conclusions: Our results demonstrate that noninvasive blood glucose analysis combining mid-infrared spectroscopy and photothermal detection is feasible and comparable in accuracy with minimally invasive glucometers and finger pricking devices which use test strips. As a next step, a handheld version of the present device for diabetes patients is being developed.
Sphingosine 1-phosphate (S1P), derived from membrane sphingolipids, is a pleiotropic bioactive lipid mediator capable of evoking complex immune phenomena. Studies have highlighted its importance regarding intracellular signaling cascades as well as membrane-bound S1P receptor (S1PR) engagement in various clinical conditions. In neurological disorders, the S1P–S1PR axis is acknowledged in neurodegenerative, neuroinflammatory, and cerebrovascular disorders. Modulators of S1P signaling have enabled an immense insight into fundamental pathological pathways, which were pivotal in identifying and improving the treatment of human diseases. However, its intricate molecular signaling pathways initiated upon receptor ligation are still poorly elucidated. In this review, the authors highlight the current evidence for S1P signaling in neurodegenerative and neuroinflammatory disorders as well as stroke and present an array of drugs targeting the S1P signaling pathway, which are being tested in clinical trials. Further insights on how the S1P–S1PR axis orchestrates disease initiation, progression, and recovery may hold a remarkable potential regarding therapeutic options in these neurological disorders.