316 results on '"Bruse P"'
Search Results
2. Users prefer Jpegli over same-sized libjpeg-turbo or MozJPEG
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Bruse, Martin, Versari, Luca, Szabadka, Zoltan, and Alakuijala, Jyrki
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,I.4.2 - Abstract
We performed pairwise comparisons by human raters of JPEG images from MozJPEG, libjpeg-turbo and our new Jpegli encoder. When compressing images at a quality similar to libjpeg-turbo quality 95, the Jpegli images were 54% likely to be preferred over both libjpeg-turbo and MozJPEG images, but used only 2.8 bits per pixel compared to libjpeg-turbo and MozJPEG that used 3.8 and 3.5 bits per pixel respectively. The raw ratings and source images are publicly available for further analysis and study.
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- 2024
3. GUIDANCE: eine prospektive, biomarkerstratifizierte Phase-II-Studie zur PARP-Inhibition im kleinzelligen Lungenkarzinom
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John, Felix, Büttner, Reinhard, Merkelbach-Bruse, Sabine, and Wolf, Jürgen
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- 2024
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4. Endometriumkarzinom: molekulare Klassifikation in der Routinepathologie
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Siebolts, Udo, Schömig-Markiefka, Birgid, Siemanowski-Hrach, Janna, and Merkelbach-Bruse, Sabine
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- 2024
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5. High success rate of first proficiency testing for RET fusions and RET mutations in lung and thyroid cancer samples by various methods
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Siebolts, Udo, Pappesch, Roberto, Bauer, Marcus, Dietmaier, Wolfgang, Ernst, Mareike, Haak, Anja, Hartmann, Nils, Ilm, Katharina, Kalbourtzis, Stavros, Krause, Thomas, Kazdal, Daniel, Schorle, Hubert, Utpatel, Kirsten, and Merkelbach-Bruse, Sabine
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- 2024
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6. Benchmark of screening markers for KEAP1/NFE2L2 mutations and joint analysis with the K1N2-score
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Arolt, Christoph, Scheel, Andreas H., Dugan, Margaret, Wild, Robert, Richartz, Vanessa, Holz, Barbara, Brägelmann, Johannes, Wagener-Ryczek, Svenja, Merkelbach-Bruse, Sabine, Wolf, Juergen, Buettner, Reinhard, Catanzariti, Luigi, Scheffler, Matthias, and Hillmer, Axel M.
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- 2024
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7. Multinational proficiency tests for EGFR exon 20 insertions reveal that the assay design matters
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Ihle, Michaela A., Heydt, Carina, Schultheis, Anne Maria, Stöhr, Robert, Haller, Florian, Herold, Sylvia, Aust, Daniela, Dietmaier, Wolfgang, Evert, Matthias, Eszlinger, Markus, Haak, Anja, Laßmann, Silke, Vorholt, Daniela, Breitenbücher, Frank, Werner, Martin, Streubel, Anna, Mairinger, Thomas, Grassow-Narlik, Maja, and Merkelbach-Bruse, Sabine
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- 2024
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8. TERT RNAscope analysis of sub-centimetric papillary thyroid carcinomas and synchronous lymph node metastases
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Eich, Marie-Lisa, Jeske, Wiebke, Zenz, Uschi, Chiapponi, Costanza, Alidousty, Christina, Merkelbach-Bruse, Sabine, Büttner, Reinhard, and Schultheis, Anne M.
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- 2024
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9. Phenotype-specific therapeutic efficacy of ilofotase alfa in patients with sepsis-associated acute kidney injury
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Bruse, Niklas, Pardali, Katerina, Kraan, Maarten, Kox, Matthijs, and Pickkers, Peter
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- 2024
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10. Benchmark of screening markers for KEAP1/NFE2L2 mutations and joint analysis with the K1N2-score
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Christoph Arolt, Andreas H. Scheel, Margaret Dugan, Robert Wild, Vanessa Richartz, Barbara Holz, Johannes Brägelmann, Svenja Wagener-Ryczek, Sabine Merkelbach-Bruse, Juergen Wolf, Reinhard Buettner, Luigi Catanzariti, Matthias Scheffler, and Axel M. Hillmer
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Our recently published K1N2-score robustly predicts KEAP1/NFE2L2-mutations and pathway activation status, while its accessibility might be limited. We tested if the RNA expression data of six pathway-related genes and NQO1-IHC might be a reliable alternative using 348 KEAP1/NFE2L2 mutation-enriched NSCLC. While TXNRD1 RNA testing was the best-performing single-gene test, the combination of single-gene screening and validation with the K1N2-score achieved the highest performance when predicting mutation status or pathway activation.
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- 2024
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11. Verifying And Interpreting Neural Networks using Finite Automata
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Sälzer, Marco, Alsmann, Eric, Bruse, Florian, and Lange, Martin
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Computer Science - Formal Languages and Automata Theory ,Computer Science - Machine Learning - Abstract
Verifying properties and interpreting the behaviour of deep neural networks (DNN) is an important task given their ubiquitous use in applications, including safety-critical ones, and their black-box nature. We propose an automata-theoric approach to tackling problems arising in DNN analysis. We show that the input-output behaviour of a DNN can be captured precisely by a (special) weak B\"uchi automaton and we show how these can be used to address common verification and interpretation tasks of DNN like adversarial robustness or minimum sufficient reasons.
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- 2022
12. Multinational proficiency tests for EGFR exon 20 insertions reveal that the assay design matters
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Michaela A. Ihle, Carina Heydt, Anne Maria Schultheis, Robert Stöhr, Florian Haller, Sylvia Herold, Daniela Aust, Wolfgang Dietmaier, Matthias Evert, Markus Eszlinger, Anja Haak, Silke Laßmann, Daniela Vorholt, Frank Breitenbücher, Martin Werner, Anna Streubel, Thomas Mairinger, Maja Grassow-Narlik, and Sabine Merkelbach-Bruse
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Medicine ,Science - Abstract
Abstract Insertion mutations in exon 20 of the epidermal growth factor receptor gene (EGFR exon20ins) are rare, heterogeneous alterations observed in non-small cell lung cancer (NSCLC). With a few exceptions, they are associated with primary resistance to established EGFR tyrosine kinase inhibitors (TKIs). As patients carrying EGFR exon20ins may be eligible for treatment with novel therapeutics—the bispecific antibody amivantamab, the TKI mobocertinib, or potential future innovations—they need to be identified reliably in clinical practice for which quality-based routine genetic testing is crucial. Spearheaded by the German Quality Assurance Initiative Pathology two international proficiency tests were run, assessing the performance of 104 participating institutes detecting EGFR exon20ins in tissue and/or plasma samples. EGFR exon20ins were most reliably identified using next-generation sequencing (NGS). Interestingly, success rates of institutes using commercially available mutation-/allele-specific quantitative (q)PCR were below 30% for tissue samples and 0% for plasma samples. Most of these mutation-/allele-specific (q)PCR assays are not designed to detect the whole spectrum of EGFR exon20ins mutations leading to false negative results. These data suggest that NGS is a suitable method to detect EGFR exon20ins in various types of patient samples and is superior to the detection spectrum of commercially available assays.
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- 2024
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13. TERT RNAscope analysis of sub-centimetric papillary thyroid carcinomas and synchronous lymph node metastases
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Marie-Lisa Eich, Wiebke Jeske, Uschi Zenz, Costanza Chiapponi, Christina Alidousty, Sabine Merkelbach-Bruse, Reinhard Büttner, and Anne M. Schultheis
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TERT ,Sub-centimetric papillary thyroid carcinoma ,RNAscope® ,Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
Abstract Background Sub-centrimetric papillary thyroid carcinomas usually have a good prognosis with a cancer specific survival of > 99%, however in up to 65% of patients, lymph node metastases can be observed. Molecular alterations in BRAF, TERT and TP53 are associated with worse clinicopathological outcome in patients with papillary thyroid carcinoma. Material and methods Twenty-two cases of papillary thyroid carcinomas measuring ≤ 1 cm with synchronous lymph node metastases were examined regarding morphological patterns and immunohistochemical status of p53, Ki-67, and BRAF V600E status. TERT RNA expression in lymph node metastases were evaluated by RNAScope®. Results Morphological patterns were heterogeneous in both primary tumors and lymph node metastases. Proliferation indices measured by Ki-67 were low. Both primary and lymph node metastases were wild type for p53 by immunohistochemical analysis. No lymph node metastasis showed TERT expression by RNAScope®. Conclusions Our data indicate that TERT expression is not involved in the development early lymph node metastasis in patients with sub-centimetric PTC.
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- 2024
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14. Capturing Bisimulation-Invariant Exponential-Time Complexity Classes
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Bruse, Florian, Kronenberger, David, and Lange, Martin
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Computer Science - Logic in Computer Science ,Computer Science - Computational Complexity - Abstract
Otto's Theorem characterises the bisimulation-invariant PTIME queries over graphs as exactly those that can be formulated in the polyadic mu-calculus, hinging on the Immerman-Vardi Theorem which characterises PTIME (over ordered structures) by First-Order Logic with least fixpoints. This connection has been extended to characterise bisimulation-invariant EXPTIME by an extension of the polyadic mu-calculus with functions on predicates, making use of Immerman's characterisation of EXPTIME by Second-Order Logic with least fixpoints. In this paper we show that the bisimulation-invariant versions of all classes in the exponential time hierarchy have logical counterparts which arise as extensions of the polyadic mu-calculus by higher-order functions. This makes use of the characterisation of k-EXPTIME by Higher-Order Logic (of order k+1) with least fixpoints, due to Freire and Martins., Comment: In Proceedings GandALF 2022, arXiv:2209.09333
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- 2022
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15. Verification system based on long-range iris and Graph Siamese Neural Networks
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Zola, Francesco, Fernandez-Carrasco, Jose Alvaro, Bruse, Jan Lukas, Galar, Mikel, and Geradts, Zeno
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Biometric systems represent valid solutions in tasks like user authentication and verification, since they are able to analyze physical and behavioural features with high precision. However, especially when physical biometrics are used, as is the case of iris recognition, they require specific hardware such as retina scanners, sensors, or HD cameras to achieve relevant results. At the same time, they require the users to be very close to the camera to extract high-resolution information. For this reason, in this work, we propose a novel approach that uses long-range (LR) distance images for implementing an iris verification system. More specifically, we present a novel methodology for converting LR iris images into graphs and then use Graph Siamese Neural Networks (GSNN) to predict whether two graphs belong to the same person. In this study, we not only describe this methodology but also evaluate how the spectral components of these images can be used for improving the graph extraction and the final classification task. Results demonstrate the suitability of this approach, encouraging the community to explore graph application in biometric systems., Comment: Accepted to 2022 3rd Symposium on Pattern Recognition and Applications
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- 2022
16. Testing for deficient mismatch repair and microsatellite instability: A focused update
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Rüschoff, Josef, Schildhaus, Hans-Ulrich, Rüschoff, Jan Hendrik, Jöhrens, Korinna, Bocker Edmonston, Tina, Dietmaier, Wolfgang, Bläker, Hendrik, Baretton, Gustavo, Horst, David, Dietel, Manfred, Hartmann, Arndt, Klauschen, Frederick, Merkelbach-Bruse, Sabine, Stenzinger, Albrecht, Schöniger, Sandra, Tiemann, Markus, Weichert, Wilko, and Büttner, Reinhard
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- 2023
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17. Digital droplet PCR-based quantification of ccfHPV-DNA as liquid biopsy in HPV-driven cervical and vulvar cancer
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Thangarajah, Fabinshy, Busshoff, Jana, Salamon, Janina, Pruss, Marie-Sandrine, Lenz, Caroline, Morgenstern, Bernd, Hellmich, Martin, Schlößer, Hans Anton, Lenz, Maximilian, Domröse, Christian, Mallmann, Michael R., Mallmann, Peter, Weiß, Jonathan, Franzen, Fabian, Merkelbach-Bruse, Sabine, Binot, Elke, Eich, Marie-Lisa, Büttner, Reinhardt, Schultheis, Anne Maria, and Alidousty, Christina
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- 2023
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18. ArchABM: an agent-based simulator of human interaction with the built environment. $CO_2$ and viral load analysis for indoor air quality
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Martinez, Iñigo, Bruse, Jan L., Florez-Tapia, Ane M., Viles, Elisabeth, and Olaizola, Igor G.
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Computer Science - Multiagent Systems ,Computer Science - Artificial Intelligence ,Computer Science - Computers and Society - Abstract
Recent evidence suggests that SARS-CoV-2, which is the virus causing a global pandemic in 2020, is predominantly transmitted via airborne aerosols in indoor environments. This calls for novel strategies when assessing and controlling a building's indoor air quality (IAQ). IAQ can generally be controlled by ventilation and/or policies to regulate human-building-interaction. However, in a building, occupants use rooms in different ways, and it may not be obvious which measure or combination of measures leads to a cost- and energy-effective solution ensuring good IAQ across the entire building. Therefore, in this article, we introduce a novel agent-based simulator, ArchABM, designed to assist in creating new or adapt existing buildings by estimating adequate room sizes, ventilation parameters and testing the effect of policies while taking into account IAQ as a result of complex human-building interaction patterns. A recently published aerosol model was adapted to calculate time-dependent carbon dioxide ($CO_2$) and virus quanta concentrations in each room and inhaled $CO_2$ and virus quanta for each occupant over a day as a measure of physiological response. ArchABM is flexible regarding the aerosol model and the building layout due to its modular architecture, which allows implementing further models, any number and size of rooms, agents, and actions reflecting human-building interaction patterns. We present a use case based on a real floor plan and working schedules adopted in our research center. This study demonstrates how advanced simulation tools can contribute to improving IAQ across a building, thereby ensuring a healthy indoor environment., Comment: 28 pages, 15 figures, 5 tables. Accepted on Building and Environment Journal, Special Issue on Human interaction with the built environment
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- 2021
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19. Understanding the influence of surgical parameters on craniofacial surgery outcomes: a computational study
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K. H. He, J. L. Bruse, N. Rodriguez-Florez, D. Dunaway, O. Jeelani, S. Schievano, and A. Borghi
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craniosynostosis ,finite-element modelling ,pre-operative planning ,design of experiments ,craniofacial surgery ,Science - Abstract
Sagittal craniosynostosis (SC) is a congenital condition whereby the newborn skull develops abnormally owing to the premature ossification of the sagittal suture. Spring-assisted cranioplasty (SAC) is a minimally invasive surgical technique to treat SC, where metallic distractors are used to reshape the newborn’s head. Although safe and effective, SAC outcomes remain uncertain owing to the limited understanding of skull−distractor interaction and the limited information provided by the analysis of single surgical cases. In this work, an SC population-averaged skull model was created and used to simulate spring insertion by means of the finite-element analysis using a previously developed modelling framework. Surgical parameters were varied to assess the effect of osteotomy and spring positioning, as well as distractor combinations, on the final skull dimensions. Simulation trends were compared with retrospective measurements from clinical imaging (X-ray and three-dimensional photogrammetry scans). It was found that the on-table post-implantation head shape change is more sensitive to spring stiffness than to the other surgical parameters. However, the overall end-of-treatment head shape is more sensitive to spring positioning and osteotomy size parameters. The results of this work suggest that SAC surgical planning should be performed in view of long-term results, rather than immediate on-table reshaping outcomes.
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- 2024
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20. Separating the Expressive Power of Propositional Dynamic and Modal Fixpoint Logics
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Alsmann, Eric, Bruse, Florian, and Lange, Martin
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Computer Science - Logic in Computer Science - Abstract
We investigate the expressive power of the two main kinds of program logics for complex, non-regular program properties found in the literature: those extending propositional dynamic logic (PDL), and those extending the modal mu-calculus. This is inspired by the recent discovery of a decidable program logic called Visibly Pushdown Fixpoint Logic with Chop which extends both the modal mu-calculus and PDL over visibly pushdown languages, which, so far, constituted the ends of two pillars of decidable program logics. Here we show that this logic is not only more expressive than either of its two fragments, but in fact even more expressive than their union. Hence, the decidability border amongst program logics has been properly pushed up. We complete the picture by providing results separating all the PDL-based and modal fixpoint logics with regular, visibly pushdown and arbitrary context-free constructions., Comment: In Proceedings EXPRESS/SOS 2021, arXiv:2108.09624
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- 2021
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21. Testung auf Mismatch-Reparatur-Defizienz und Mikrosatelliteninstabilität: Eine fokussierte Aktualisierung
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Rüschoff, Josef, Schildhaus, Hans-Ulrich, Rüschoff, Jan Hendrik, Jöhrens, Korinna, Bocker-Edmonston, Tina, Dietmaier, Wolfgang, Bläker, Hendrik, Baretton, Gustavo, Horst, David, Dietel, Manfred, Hartmann, Arndt, Klauschen, Frederick, Merkelbach-Bruse, Sabine, Stenzinger, Albrecht, Schöniger, Sandra, Tiemann, Markus, Weichert, Wilko, and Büttner, Reinhard
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- 2023
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22. Temporal graph-based approach for behavioural entity classification
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Zola, Francesco, Segurola, Lander, Bruse, Jan Lukas, and Idoate, Mikel Galar
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Computer Science - Machine Learning ,Computer Science - Information Theory - Abstract
Graph-based analyses have gained a lot of relevance in the past years due to their high potential in describing complex systems by detailing the actors involved, their relations and their behaviours. Nevertheless, in scenarios where these aspects are evolving over time, it is not easy to extract valuable information or to characterize correctly all the actors. In this study, a two phased approach for exploiting the potential of graph structures in the cybersecurity domain is presented. The main idea is to convert a network classification problem into a graph-based behavioural one. We extract these graph structures that can represent the evolution of both normal and attack entities and apply a temporal dissection approach in order to highlight their micro-dynamics. Further, three clustering techniques are applied to the normal entities in order to aggregate similar behaviours, mitigate the imbalance problem and reduce noisy data. Our approach suggests the implementation of two promising deep learning paradigms for entity classification based on Graph Convolutional Networks.
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- 2021
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23. Genomic ALK alterations in primary and relapsed neuroblastoma
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Rosswog, Carolina, Fassunke, Jana, Ernst, Angela, Schömig-Markiefka, Birgid, Merkelbach-Bruse, Sabine, Bartenhagen, Christoph, Cartolano, Maria, Ackermann, Sandra, Theissen, Jessica, Blattner-Johnson, Mirjam, Jones, Barbara, Schramm, Kathrin, Altmüller, Janine, Nürnberg, Peter, Ortmann, Monika, Berthold, Frank, Peifer, Martin, Büttner, Reinhard, Westermann, Frank, Schulte, Johannes H., Simon, Thorsten, Hero, Barbara, and Fischer, Matthias
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- 2023
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24. Simultaneous multislice diffusion-weighted imaging versus standard diffusion-weighted imaging in whole-body PET/MRI
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Furtado, Felipe S., Mercaldo, Nathaniel D., Vahle, Thomas, Benkert, Thomas, Bradley, William R., Ratanaprasatporn, Lisa, Seethamraju, Ravi Teja, Harisinghani, Mukesh G., Lee, Susanna, Suarez-Weiss, Krista, Umutlu, Lale, Catana, Ciprian, Pomykala, Kelsey L., Domachevsky, Liran, Bernstine, Hanna, Groshar, David, Rosen, Bruse R., and Catalano, Onofrio Antonio
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- 2023
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25. Proficiency testing of PIK3CA mutations in HR+/HER2-breast cancer on liquid biopsy and tissue
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Vollbrecht, Claudia, Hoffmann, Inga, Lehmann, Annika, Merkelbach-Bruse, Sabine, Fassunke, Jana, Wagener-Ryczek, Svenja, Ball, Markus, Dimitrova, Lora, Hartmann, Arndt, Stöhr, Robert, Erber, Ramona, Weichert, Wilko, Pfarr, Nicole, Bohlmann, Lisa, Jung, Andreas, Dietmaier, Wolfgang, Dietel, Manfred, Horst, David, and Hummel, Michael
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- 2023
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26. Aortic geometry and long-term outcome in patients with a repaired coarctation
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Alexander Hirsch, Jolien W Roos-Hesselink, Annemien E van den Bosch, Michiel Voskuil, Timion A Meijs, Isabella Kardys, Jolanda J Wentzel, Savine C S Minderhoud, Rick van Montfoort, Suze-Anne Korteland, and Jan L Bruse
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Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Objective This study aims to compare aortic morphology between repaired coarctation patients and controls, and to identify aortic morphological risk factors for hypertension and cardiovascular events (CVEs) in coarctation patients.Methods Repaired coarctation patients with computed tomography angiography (CTA) or magnetic resonance angiography (MRA) were included, followed-up and compared with sex-matched and age-matched controls. Three-dimensional aortic shape was reconstructed using patients’ CTA or MRA, or four-dimensional flow cardiovascular magnetic resonance in controls, and advanced geometrical characteristics were calculated and visualised using statistical shape modelling. In patients, we examined the association of geometrical characteristics with (1) baseline hypertension, using multivariable logistic regression; and (2) cardiovascular events (CVE, composite of aortic complications, coronary artery disease, ventricular arrhythmias, heart failure hospitalisation, stroke, transient ischaemic attacks and cardiovascular death), using multivariable Cox regression. The least absolute shrinkage and selection operator (LASSO) method selected the most informative multivariable model.Results Sixty-five repaired coarctation patients (23 years (IQR 19–38)) were included, of which 44 (68%) patients were hypertensive at baseline. After a median follow-up of 8.7 years (IQR 4.8–15.4), 27 CVEs occurred in 20 patients. Aortic arch dimensions were smaller in patients compared with controls (diameter p
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- 2024
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27. Pharmacological activation of constitutive androstane receptor induces female-specific modulation of hepatic metabolism
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Marine Huillet, Frédéric Lasserre, Marie-Pierre Gratacap, Beatrice Engelmann, Justine Bruse, Arnaud Polizzi, Tiffany Fougeray, Céline Marie Pauline Martin, Clémence Rives, Anne Fougerat, Claire Naylies, Yannick Lippi, Géraldine Garcia, Elodie Rousseau-Bacquie, Cécile Canlet, Laurent Debrauwer, Ulrike Rolle-Kampczyk, Martin von Bergen, Bernard Payrastre, Elisa Boutet-Robinet, Laurence Gamet-Payrastre, Hervé Guillou, Nicolas Loiseau, and Sandrine Ellero-Simatos
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Sexual dimorphism ,Hepatic xenobiotic metabolism ,Lipoprotein metabolism ,Platelet aggregation ,Trimethylamine-N-oxide ,Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Background & Aims: The constitutive androstane receptor (CAR) is a nuclear receptor that binds diverse xenobiotics and whose activation leads to the modulation of the expression of target genes involved in xenobiotic detoxification and energy metabolism. Although CAR hepatic activity is considered to be higher in women than in men, its sex-dependent response to an acute pharmacological activation has seldom been investigated. Methods: The hepatic transcriptome, plasma markers, and hepatic metabolome, were analysed in Car+/+ and Car-/- male and female mice treated either with the CAR-specific agonist 1,4-bis[2-(3,5-dichloropyridyloxy)]benzene (TCPOBOP) or with vehicle. Results: Although 90% of TCPOBOP-sensitive genes were modulated in a sex-independent manner, the remaining 10% showed almost exclusive female liver specificity. These female-specific CAR-sensitive genes were mainly involved in xenobiotic metabolism, inflammation, and extracellular matrix organisation. CAR activation also induced higher hepatic oxidative stress and hepatocyte cytolysis in females than in males. Hepatic expression of flavin monooxygenase 3 (Fmo3) was almost abolished and was associated with a decrease in hepatic trimethylamine-N-oxide (TMAO) concentration in TCPOBOP-treated females. In line with a potential role in the control of TMAO homeostasis, CAR activation decreased platelet hyper-responsiveness in female mice supplemented with dietary choline. Conclusions: More than 10% of CAR-sensitive genes are sex-specific and influence hepatic and systemic responses such as platelet aggregation. CAR activation may be an important mechanism of sexually-dimorphic drug-induced liver injury. Impact and implications: CAR is activated by many drugs and pollutants. Its pharmacological activation had a stronger impact on hepatic gene expression and metabolism in females than in males, and had a specific impact on liver toxicity and trimethylamine metabolism. Sexual dimorphism should be considered when testing and/or prescribing xenobiotics known to activate CAR.
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- 2024
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28. Local Higher-Order Fixpoint Iteration
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Bruse, Florian, Kreiker, Jörg, Lange, Martin, and Sälzer, Marco
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Computer Science - Logic in Computer Science - Abstract
Local fixpoint iteration describes a technique that restricts fixpoint iteration in function spaces to needed arguments only. It has been studied well for first-order functions in abstract interpretation and also in model checking. Here we consider the problem for least and greatest fixpoints of arbitrary type order. We define an abstract algebra of simply typed higher-order functions with fixpoints that can express fixpoint evaluation problems as they occur routinely in various applications, including program verification. We present an algorithm that realises local fixpoint iteration for such higher-order fixpoints, prove its correctness and study its optimisation potential in the context of several applications., Comment: In Proceedings GandALF 2020, arXiv:2009.09360
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- 2020
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29. Generative Adversarial Networks for Bitcoin Data Augmentation
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Zola, Francesco, Bruse, Jan Lukas, Barrio, Xabier Etxeberria, Galar, Mikel, and Urrutia, Raul Orduna
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
In Bitcoin entity classification, results are strongly conditioned by the ground-truth dataset, especially when applying supervised machine learning approaches. However, these ground-truth datasets are frequently affected by significant class imbalance as generally they contain much more information regarding legal services (Exchange, Gambling), than regarding services that may be related to illicit activities (Mixer, Service). Class imbalance increases the complexity of applying machine learning techniques and reduces the quality of classification results, especially for underrepresented, but critical classes. In this paper, we propose to address this problem by using Generative Adversarial Networks (GANs) for Bitcoin data augmentation as GANs recently have shown promising results in the domain of image classification. However, there is no "one-fits-all" GAN solution that works for every scenario. In fact, setting GAN training parameters is non-trivial and heavily affects the quality of the generated synthetic data. We therefore evaluate how GAN parameters such as the optimization function, the size of the dataset and the chosen batch size affect GAN implementation for one underrepresented entity class (Mining Pool) and demonstrate how a "good" GAN configuration can be obtained that achieves high similarity between synthetically generated and real Bitcoin address data. To the best of our knowledge, this is the first study presenting GANs as a valid tool for generating synthetic address data for data augmentation in Bitcoin entity classification., Comment: 8 pages, 5 figures, 4 tables
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- 2020
30. Apolipoprotein C3 induces inflammasome activation only in its delipidated form
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Hsu, Cheng-Chieh, Shao, Baohai, Kanter, Jenny E., He, Yi, Vaisar, Tomas, Witztum, Joseph L., Snell-Bergeon, Janet, McInnes, Gregory, Bruse, Shannon, Gottesman, Omri, Mullick, Adam E., and Bornfeldt, Karin E.
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- 2023
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31. Erratum zu: Testung auf Mismatch-Reparatur-Defizienz und Mikrosatelliteninstabilität
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Rüschoff, Josef, Schildhaus, Hans-Ulrich, Rüschoff, Jan Hendrik, Jöhrens, Korinna, Bocker-Edmonston, Tina, Dietmaier, Wolfgang, Bläker, Hendrik, Baretton, Gustavo, Horst, David, Dietel, Manfred, Hartmann, Arndt, Klauschen, Frederick, Merkelbach-Bruse, Sabine, Stenzinger, Albrecht, Schöniger, Sandra, Tiemann, Markus, Weichert, Wilko, and Büttner, Reinhard
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- 2023
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32. 970 Multiplex-immunofluorescence-based spatial characterization of the tumor-microenvironment of a large bicentric clinical non-small cell lung cancer cohort
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Reinhard Büttner, Sabine Merkelbach-Bruse, Sandip Ghosh, Alexander Quaas, Khosro Hekmat, Matthias Heldwein, Frederick Klauschen, Ulrich Keilholz, Angela Vasaturo, Nikolaj Frost, David Horst, Simon Schallenberg, Gabriel Dernbach, Sharon Ruane, Cornelius Böhm, Lukas Ruff, Kai Standvoss, Mihnea P Dragomir, Rebecca Fritz, Ines Koch, Corinna Friedrich, Kyrill Boschung, Winfried Randerath, Georg Schlachtenberger, Jens-Carsten Rückert, and Maximilian Alber
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Published
- 2023
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33. Somatic rearrangements causing oncogenic ectodomain deletions of FGFR1 in squamous cell lung cancer
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Florian Malchers, Lucia Nogova, Martijn H.A. van Attekum, Lukas Maas, Johannes Brägelmann, Christoph Bartenhagen, Luc Girard, Graziella Bosco, Ilona Dahmen, Sebastian Michels, Clare E. Weeden, Andreas H. Scheel, Lydia Meder, Kristina Golfmann, Philipp Schuldt, Janna Siemanowski, Jan Rehker, Sabine Merkelbach-Bruse, Roopika Menon, Oliver Gautschi, Johannes M. Heuckmann, Elisabeth Brambilla, Marie-Liesse Asselin-Labat, Thorsten Persigehl, John D. Minna, Henning Walczak, Roland T. Ullrich, Matthias Fischer, Hans Christian Reinhardt, Jürgen Wolf, Reinhard Büttner, Martin Peifer, Julie George, and Roman K. Thomas
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Genetics ,Oncology ,Medicine - Abstract
The discovery of frequent 8p11-p12 amplifications in squamous cell lung cancer (SQLC) has fueled hopes that FGFR1, located inside this amplicon, might be a therapeutic target. In a clinical trial, only 11% of patients with 8p11 amplification (detected by FISH) responded to FGFR kinase inhibitor treatment. To understand the mechanism of FGFR1 dependency, we performed deep genomic characterization of 52 SQLCs with 8p11-p12 amplification, including 10 tumors obtained from patients who had been treated with FGFR inhibitors. We discovered somatically altered variants of FGFR1 with deletion of exons 1–8 that resulted from intragenic tail-to-tail rearrangements. These ectodomain-deficient FGFR1 variants (ΔEC-FGFR1) were expressed in the affected tumors and were tumorigenic in both in vitro and in vivo models of lung cancer. Mechanistically, breakage-fusion-bridges were the source of 8p11-p12 amplification, resulting from frequent head-to-head and tail-to-tail rearrangements. Generally, tail-to-tail rearrangements within or in close proximity upstream of FGFR1 were associated with FGFR1 dependency. Thus, the genomic events shaping the architecture of the 8p11-p12 amplicon provide a mechanistic explanation for the emergence of FGFR1-driven SQLC. Specifically, we believe that FGFR1 ectodomain–deficient and FGFR1-centered amplifications caused by tail-to-tail rearrangements are a novel somatic genomic event that might be predictive of therapeutically relevant FGFR1 dependency.
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- 2023
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34. Cascading Machine Learning to Attack Bitcoin Anonymity
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Zola, Francesco, Eguimendia, Maria, Bruse, Jan Lukas, and Urrutia, Raul Orduna
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Computer Science - Cryptography and Security ,Computer Science - Machine Learning - Abstract
Bitcoin is a decentralized, pseudonymous cryptocurrency that is one of the most used digital assets to date. Its unregulated nature and inherent anonymity of users have led to a dramatic increase in its use for illicit activities. This calls for the development of novel methods capable of characterizing different entities in the Bitcoin network. In this paper, a method to attack Bitcoin anonymity is presented, leveraging a novel cascading machine learning approach that requires only a few features directly extracted from Bitcoin blockchain data. Cascading, used to enrich entities information with data from previous classifications, led to considerably improved multi-class classification performance with excellent values of Precision close to 1.0 for each considered class. Final models were implemented and compared using different machine learning models and showed significantly higher accuracy compared to their baseline implementation. Our approach can contribute to the development of effective tools for Bitcoin entity characterization, which may assist in uncovering illegal activities., Comment: 15 pages,7 figures, 4 tables, presented in 2019 IEEE International Conference on Blockchain (Blockchain)
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- 2019
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35. Committee Draft of JPEG XL Image Coding System
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Rhatushnyak, Alexander, Wassenberg, Jan, Sneyers, Jon, Alakuijala, Jyrki, Vandevenne, Lode, Versari, Luca, Obryk, Robert, Szabadka, Zoltan, Kliuchnikov, Evgenii, Comsa, Iulia-Maria, Potempa, Krzysztof, Bruse, Martin, Firsching, Moritz, Khasanova, Renata, van Asseldonk, Ruud, Boukortt, Sami, Gomez, Sebastian, and Fischbacher, Thomas
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Graphics ,94A08 ,I.4.2 - Abstract
JPEG XL is a practical approach focused on scalable web distribution and efficient compression of high-quality images. It provides various benefits compared to existing image formats: 60% size reduction at equivalent subjective quality; fast, parallelizable decoding and encoding configurations; features such as progressive, lossless, animation, and reversible transcoding of existing JPEG with 22% size reduction; support for high-quality applications including wide gamut, higher resolution/bit depth/dynamic range, and visually lossless coding. The JPEG XL architecture is traditional block-transform coding with upgrades to each component., Comment: Royalty-free, open-source reference implementation in Q4 2019. v3 fixes PDF links and paper size
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- 2019
36. Aortic Dissection is Determined by Specific Shape and Hemodynamic Interactions
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Williams, Jessica G., Marlevi, David, Bruse, Jan L., Nezami, Farhad R., Moradi, Hamed, Fortunato, Ronald N., Maiti, Spandan, Billaud, Marie, Edelman, Elazer R., and Gleason, Thomas G.
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- 2022
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37. Attacking Bitcoin anonymity: generative adversarial networks for improving Bitcoin entity classification
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Zola, Francesco, Segurola-Gil, Lander, Bruse, Jan L., Galar, Mikel, and Orduna-Urrutia, Raul
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- 2022
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38. ROS1: Rearrangements und Analytik
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Siebolts, Udo and Merkelbach-Bruse, Sabine
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- 2023
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39. Clinical sepsis phenotypes in critically ill COVID-19 patients
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Niklas Bruse, Emma J. Kooistra, Aron Jansen, Rombout B. E. van Amstel, Nicolette F. de Keizer, Jason N. Kennedy, Christopher Seymour, Lonneke A. van Vught, Peter Pickkers, and Matthijs Kox
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COVID-19 ,Phenotypes ,Personalized medicine ,Sepsis ,Dexamethasone ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Abstract Background A greater understanding of disease heterogeneity may facilitate precision medicine for coronavirus disease 2019 (COVID-19). Previous work identified four distinct clinical phenotypes associated with outcome and treatment responses in non-COVID-19 sepsis patients, but it is unknown if and how these phenotypes are recapitulated in COVID-19 sepsis patients. Methods We applied the four non-COVID-19 sepsis phenotypes to a total of 52,274 critically ill patients, comprising two cohorts of COVID-19 sepsis patients (admitted before and after the introduction of dexamethasone as standard treatment) and three non-COVID-19 sepsis cohorts (non-COVID-19 viral pneumonia sepsis, bacterial pneumonia sepsis, and bacterial sepsis of non-pulmonary origin). Differences in proportions of phenotypes and their associated mortality were determined across these cohorts. Results Phenotype distribution was highly similar between COVID-19 and non-COVID-19 viral pneumonia sepsis cohorts, whereas the proportion of patients with the δ-phenotype was greater in both bacterial sepsis cohorts compared to the viral sepsis cohorts. The introduction of dexamethasone treatment was associated with an increased proportion of patients with the δ-phenotype (6% vs. 11% in the pre- and post-dexamethasone COVID-19 cohorts, respectively, p
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- 2022
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40. Ex vivo and in vitro Monocyte Responses Do Not Reflect in vivo Immune Responses and Tolerance
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Aron Jansen, Niklas Bruse, Nicole Waalders, Jelle Gerretsen, Daniëlle Rijbroek, Peter Pickkers, and Matthijs Kox
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sepsis ,endotoxin tolerance ,cytokines ,ex vivo ,inflammation ,monocytes ,Medicine ,Internal medicine ,RC31-1245 - Abstract
Cytokine production by ex vivo (EV)-stimulated leukocytes is commonly used to gauge immune function and frequently proposed to guide immunomodulatory therapy. However, whether EV cytokine production capacity accurately reflects the in vivo (IV) immune status is largely unknown. We investigated relationships between EV monocyte cytokine responses and IV cytokine responses in a large cohort of healthy volunteers using a highly standardized IV model of short-lived LPS-induced systemic inflammation, which captures hallmarks of both hyperinflammation and immunological tolerance. Therefore, 110 healthy volunteers were intravenously challenged with 1 ng/kg LPS twice: on day 0 to determine the extent of the IV (hyper)inflammatory response and on day 7 to determine the degree of IV endotoxin tolerance. Baseline EV monocyte cytokine production capacity was assessed prior to LPS administration. Short-term and long-term EV tolerance was assessed in monocytes isolated 4 h and 7 days after LPS administration, respectively. No robust correlations were observed between baseline EV cytokine production capacity and IV cytokine responses following LPS administration. However, highly robust inverse correlations were observed between IV cytokine responses and EV cytokine responses of monocytes isolated 4 h after IV LPS administration. No correlations between IV and EV tolerance were found. In conclusion, attenuated EV cytokine production capacity reflects ongoing IV inflammation rather than immune suppression. Results of EV assays should be interpreted with caution at the risk of improper use of immunostimulatory drugs.
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- 2022
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41. Evaluation of the TruSight Tumor 170 Assay and Its Value in Clinical Diagnostics
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Carina Heydt, Roberto Pappesch, Katrin Stecker, Martin März, and Sabine Merkelbach-Bruse
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TruSight Tumor 170 ,NGS ,FFPE ,tumor ,Pathology ,RB1-214 - Abstract
Background: Parallel sequencing technologies have become integrated into clinical practice. This study evaluated the TruSight Tumor 170 assay for the simultaneous detection of somatic gene mutations (SNPs and indels), gene fusions and CNVs, and its implementation into routine diagnostics. Methods: Forty-four formalin-fixed, paraffin-embedded tissue samples analyzed previously with validated methods were evaluated with the TruSight Tumor 170 assay (Illumina). For data analysis the TruSight Tumor 170 app, the BaseSpace Variant Interpreter (Illumina), and the Molecular Health Guide Software (Molecular Health) were used. Results: All somatic gene mutations were identified when covered by the assay. Two high-level MET amplifications were detected by CNV analysis. Focal MET amplifications with a copy number below 10 were not reliably detected at the DNA-level. Twenty-one of 31 fusions and splice variants were confirmed with the assay on the RNA-level. The remaining eight aberrations were incorrect by previous methods. In two cases, no splicing was observed. Conclusions: The TruSight Tumor 170 gives reliable results even if low DNA and RNA concentrations are applied in comparison to other methods and can be used in a routine workflow to detect somatic gene mutations, gene fusions, and splice variants. However, we were not able to detect most focal gene amplifications/deletions.
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- 2022
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42. Experiencias de la educación a distancia durante la pandemia de Covid 19 en Holguín
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Andria Torres Guerra, María Victoria Stuart Bruse, Edilio Reynaldo Gabriel Aguilera, Teresa Lisset Carcasses Sánchez, Odalis Juana Pupo, and Madelaine Almaguer Sosa
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Medicine (General) ,R5-920 - Abstract
Introducción: La aparición abrupta de la pandemia ocasionada por el coronavirus SARS-COV-2 ha generado profundos cambios sociales en el orden económico, político, ambiental, cultural, sanitario y educacional a escala global. En Cuba la Educación Médica Superior, al igual que la mayoría de los países, estimula las experiencias de la educación a distancia simultaneadas con el Trabajo Comunitario Integrado (la pesquisa activa) como parte de las soluciones de emergencia a dicha crisis. Objetivo: Socializar las experiencias de la educación a distancia como alternativa de la enseñanza aprendizaje en tiempos de pandemia del departamento de Marxismo Leninismo e Historia de la Universidad de Ciencias Médicas de Holguín. Métodos: La aplicación del análisis y crítica de fuentes consultadas, el empleo de la observación científica, la entrevista a informantes clave favoreció la triangulación de la información obtenida. Resultados: Las propuestas desarrolladas por el colectivo contribuyeron a materializar la concepción del Plan Estudios (E) de Medicina al favorecer la comprensión de los contenidos impartidos, el desarrollo de competencias para la resolución de problemas docentes, la promoción del aprendizaje autónomo que generó cambios significativos de las percepciones, actitudes y valores manifiestos en el comportamiento de los educandos. Conclusiones: Potenciar nuevas formas de experiencias de educación profesional a distancia en pregrado y sistematizar las de postgrados. La actual situación sanitaria es una oportunidad para apoyar el desarrollo de la identidad profesional de los estudiantes y contribuir afianzar la responsabilidad que se deriva de ella. Palabras clave: Educación Médica Superior, educación profesional, aprendizaje a distancia, enseñanza semipresencial, covid-19
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- 2023
43. Genetic inactivation of ANGPTL4 improves glucose homeostasis and is associated with reduced risk of diabetes
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Gusarova, Viktoria, O’Dushlaine, Colm, Teslovich, Tanya M, Benotti, Peter N, Mirshahi, Tooraj, Gottesman, Omri, Van Hout, Cristopher V, Murray, Michael F, Mahajan, Anubha, Nielsen, Jonas B, Fritsche, Lars, Wulff, Anders Berg, Gudbjartsson, Daniel F, Sjögren, Marketa, Emdin, Connor A, Scott, Robert A, Lee, Wen-Jane, Small, Aeron, Kwee, Lydia C, Dwivedi, Om Prakash, Prasad, Rashmi B, Bruse, Shannon, Lopez, Alexander E, Penn, John, Marcketta, Anthony, Leader, Joseph B, Still, Christopher D, Kirchner, H Lester, Mirshahi, Uyenlinh L, Wardeh, Amr H, Hartle, Cassandra M, Habegger, Lukas, Fetterolf, Samantha N, Tusie-Luna, Teresa, Morris, Andrew P, Holm, Hilma, Steinthorsdottir, Valgerdur, Sulem, Patrick, Thorsteinsdottir, Unnur, Rotter, Jerome I, Chuang, Lee-Ming, Damrauer, Scott, Birtwell, David, Brummett, Chad M, Khera, Amit V, Natarajan, Pradeep, Orho-Melander, Marju, Flannick, Jason, Lotta, Luca A, Willer, Cristen J, Holmen, Oddgeir L, Ritchie, Marylyn D, Ledbetter, David H, Murphy, Andrew J, Borecki, Ingrid B, Reid, Jeffrey G, Overton, John D, Hansson, Ola, Groop, Leif, Shah, Svati H, Kraus, William E, Rader, Daniel J, Chen, Yii-Der I, Hveem, Kristian, Wareham, Nicholas J, Kathiresan, Sekar, Melander, Olle, Stefansson, Kari, Nordestgaard, Børge G, Tybjærg-Hansen, Anne, Abecasis, Goncalo R, Altshuler, David, Florez, Jose C, Boehnke, Michael, McCarthy, Mark I, Yancopoulos, George D, Carey, David J, Shuldiner, Alan R, Baras, Aris, Dewey, Frederick E, and Gromada, Jesper
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Diabetes ,Atherosclerosis ,Cardiovascular ,Metabolic and endocrine ,Amino Acid Substitution ,Angiopoietin-Like Protein 4 ,Animals ,Blood Glucose ,Case-Control Studies ,Diabetes Mellitus ,Type 2 ,Female ,Gene Silencing ,Genetic Association Studies ,Genetic Variation ,Heterozygote ,Homeostasis ,Humans ,Insulin Resistance ,Lipoprotein Lipase ,Male ,Mice ,Mice ,Inbred C57BL ,Mice ,Knockout ,Risk Factors ,Exome Sequencing - Abstract
Angiopoietin-like 4 (ANGPTL4) is an endogenous inhibitor of lipoprotein lipase that modulates lipid levels, coronary atherosclerosis risk, and nutrient partitioning. We hypothesize that loss of ANGPTL4 function might improve glucose homeostasis and decrease risk of type 2 diabetes (T2D). We investigate protein-altering variants in ANGPTL4 among 58,124 participants in the DiscovEHR human genetics study, with follow-up studies in 82,766 T2D cases and 498,761 controls. Carriers of p.E40K, a variant that abolishes ANGPTL4 ability to inhibit lipoprotein lipase, have lower odds of T2D (odds ratio 0.89, 95% confidence interval 0.85-0.92, p = 6.3 × 10-10), lower fasting glucose, and greater insulin sensitivity. Predicted loss-of-function variants are associated with lower odds of T2D among 32,015 cases and 84,006 controls (odds ratio 0.71, 95% confidence interval 0.49-0.99, p = 0.041). Functional studies in Angptl4-deficient mice confirm improved insulin sensitivity and glucose homeostasis. In conclusion, genetic inactivation of ANGPTL4 is associated with improved glucose homeostasis and reduced risk of T2D.
- Published
- 2018
44. Clinical sepsis phenotypes in critically ill COVID-19 patients
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Bruse, Niklas, Kooistra, Emma J., Jansen, Aron, van Amstel, Rombout B. E., de Keizer, Nicolette F., Kennedy, Jason N., Seymour, Christopher, van Vught, Lonneke A., Pickkers, Peter, and Kox, Matthijs
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- 2022
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45. Clonal dynamics of BRAF-driven drug resistance in EGFR-mutant lung cancer
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Diana Schaufler, David F. Ast, Hannah L. Tumbrink, Nima Abedpour, Lukas Maas, Ayla E. Schwäbe, Inga Spille, Stefanie Lennartz, Jana Fassunke, Mihaela Aldea, Benjamin Besse, David Planchard, Lucia Nogova, Sebastian Michels, Carsten Kobe, Thorsten Persigehl, Theresa Westphal, Sophia Koleczko, Rieke Fischer, Jan-Phillip Weber, Janine Altmüller, Roman K. Thomas, Sabine Merkelbach-Bruse, Oliver Gautschi, Laura Mezquita, Reinhard Büttner, Jürgen Wolf, Martin Peifer, Johannes Brägelmann, Matthias Scheffler, and Martin L. Sos
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Activation of MAPK signaling via BRAF mutations may limit the activity of EGFR inhibitors in EGFR-mutant lung cancer patients. However, the impact of BRAF mutations on the selection and fitness of emerging resistant clones during anti-EGFR therapy remains elusive. We tracked the evolution of subclonal mutations by whole-exome sequencing and performed clonal analyses of individual metastases during therapy. Complementary functional analyses of polyclonal EGFR-mutant cell pools showed a dose-dependent enrichment of BRAF V600E and a loss of EGFR inhibitor susceptibility. The clones remain stable and become vulnerable to combined EGFR, RAF, and MEK inhibition. Moreover, only osimertinib/trametinib combination treatment, but not monotherapy with either of these drugs, leads to robust tumor shrinkage in EGFR-driven xenograft models harboring BRAF V600E mutations. These data provide insights into the dynamics of clonal evolution of EGFR-mutant tumors and the therapeutic implications of BRAF co-mutations that may facilitate the development of treatment strategies to improve the prognosis of these patients.
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- 2021
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46. MSI testing: What’s new? What should be considered?
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Rüschoff, Josef, Baretton, Gustavo, Bläker, Hendrik, Dietmaier, Wolfgang, Dietel, Manfred, Hartmann, Arndt, Horn, Lars-Christian, Jöhrens, Korinna, Kirchner, Thomas, Knüchel, Ruth, Mayr, Doris, Merkelbach-Bruse, Sabine, Schildhaus, Hans-Ulrich, Schirmacher, Peter, Tiemann, Markus, Tiemann, Katharina, Weichert, Wilko, and Büttner, Reinhard
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- 2021
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47. Alternation Is Strict For Higher-Order Modal Fixpoint Logic
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Bruse, Florian
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Computer Science - Logic in Computer Science ,Computer Science - Formal Languages and Automata Theory - Abstract
We study the expressive power of Alternating Parity Krivine Automata (APKA), which provide operational semantics to Higher-Order Modal Fixpoint Logic (HFL). APKA consist of ordinary parity automata extended by a variation of the Krivine Abstract Machine. We show that the number and parity of priorities available to an APKA form a proper hierarchy of expressive power as in the modal mu-calculus. This also induces a strict alternation hierarchy on HFL. The proof follows Arnold's (1999) encoding of runs into trees and subsequent use of the Banach Fixpoint Theorem., Comment: In Proceedings GandALF 2016, arXiv:1609.03648
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- 2016
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48. A Canonical Model Construction for Iteration-Free PDL with Intersection
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Bruse, Florian, Kernberger, Daniel, and Lange, Martin
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Computer Science - Logic in Computer Science - Abstract
We study the axiomatisability of the iteration-free fragment of Propositional Dynamic Logic with Intersection and Tests. The combination of program composition, intersection and tests makes its proof-theory rather difficult. We develop a normal form for formulae which minimises the interaction between these operators, as well as a refined canonical model construction. From these we derive an axiom system and a proof of its strong completeness., Comment: In Proceedings GandALF 2016, arXiv:1609.03648
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- 2016
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49. Dexamethasone and tocilizumab treatment considerably reduces the value of C-reactive protein and procalcitonin to detect secondary bacterial infections in COVID-19 patients
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Emma J. Kooistra, Miranda van Berkel, Noortje F. van Kempen, Celine R. M. van Latum, Niklas Bruse, Tim Frenzel, Maarten J. W. van den Berg, Jeroen A. Schouten, Matthijs Kox, and Peter Pickkers
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COVID-19 ,Procalcitonin ,c-reactive protein ,Prediction ,Dexamethasone ,Tocilizumab ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Abstract Background Procalcitonin (PCT) and C-reactive protein (CRP) were previously shown to have value for the detection of secondary infections in critically ill COVID-19 patients. However, since the introduction of immunomodulatory therapy, the value of these biomarkers is unclear. We investigated PCT and CRP kinetics in critically ill COVID-19 patients treated with dexamethasone with or without tocilizumab, and assessed the value of these biomarkers to detect secondary bacterial infections. Methods In this prospective study, 190 critically ill COVID-19 patients were divided into three treatment groups: no dexamethasone, no tocilizumab (D−T−), dexamethasone, no tocilizumab (D+T−), and dexamethasone and tocilizumab (D+T+). Serial data of PCT and CRP were aligned on the last day of dexamethasone treatment, and kinetics of these biomarkers were analyzed between 6 days prior to cessation of dexamethasone and 10 days afterwards. Furthermore, the D+T− and D+T+ groups were subdivided into secondary infection and no-secondary infection groups to analyze differences in PCT and CRP kinetics and calculate detection accuracy of these biomarkers for the occurrence of a secondary infection. Results Following cessation of dexamethasone, there was a rebound in PCT and CRP levels, most pronounced in the D+T− group. Upon occurrence of a secondary infection, no significant increase in PCT and CRP levels was observed in the D+T− group (p = 0.052 and p = 0.08, respectively). Although PCT levels increased significantly in patients of the D+T+ group who developed a secondary infection (p = 0.0003), this rise was only apparent from day 2 post-infection onwards. CRP levels remained suppressed in the D+T+ group. Receiver operating curve analysis of PCT and CRP levels yielded area under the curves of 0.52 and 0.55, respectively, which are both markedly lower than those found in the group of COVID-19 patients not treated with immunomodulatory drugs (0.80 and 0.76, respectively, with p values for differences between groups of 0.001 and 0.02, respectively). Conclusions Cessation of dexamethasone in critically ill COVID-19 patients results in a rebound increase in PCT and CRP levels unrelated to the occurrence of secondary bacterial infections. Furthermore, immunomodulatory treatment with dexamethasone and tocilizumab considerably reduces the value of PCT and CRP for detection of secondary infections in COVID-19 patients.
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- 2021
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50. Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease
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Dewey, Frederick E, Gusarova, Viktoria, Dunbar, Richard L, O'Dushlaine, Colm, Schurmann, Claudia, Gottesman, Omri, McCarthy, Shane, Van Hout, Cristopher V, Bruse, Shannon, Dansky, Hayes M, Leader, Joseph B, Murray, Michael F, Ritchie, Marylyn D, Kirchner, H Lester, Habegger, Lukas, Lopez, Alex, Penn, John, Zhao, An, Shao, Weiping, Stahl, Neil, Murphy, Andrew J, Hamon, Sara, Bouzelmat, Aurelie, Zhang, Rick, Shumel, Brad, Pordy, Robert, Gipe, Daniel, Herman, Gary A, Sheu, Wayne HH, Lee, I-Te, Liang, Kae-Woei, Guo, Xiuqing, Rotter, Jerome I, Chen, Yii-Der I, Kraus, William E, Shah, Svati H, Damrauer, Scott, Small, Aeron, Rader, Daniel J, Wulff, Anders Berg, Nordestgaard, Børge G, Tybjærg-Hansen, Anne, van den Hoek, Anita M, Princen, Hans MG, Ledbetter, David H, Carey, David J, Overton, John D, Reid, Jeffrey G, Sasiela, William J, Banerjee, Poulabi, Shuldiner, Alan R, Borecki, Ingrid B, Teslovich, Tanya M, Yancopoulos, George D, Mellis, Scott J, Gromada, Jesper, and Baras, Aris
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Genetics ,Heart Disease ,Clinical Research ,Atherosclerosis ,Heart Disease - Coronary Heart Disease ,Cardiovascular ,Aetiology ,2.1 Biological and endogenous factors ,Good Health and Well Being ,Aged ,Angiopoietin-Like Protein 3 ,Angiopoietin-like Proteins ,Angiopoietins ,Animals ,Antibodies ,Monoclonal ,Cardiovascular Diseases ,Coronary Artery Disease ,Disease Models ,Animal ,Dose-Response Relationship ,Drug ,Double-Blind Method ,Dyslipidemias ,Female ,Humans ,Lipid Metabolism ,Lipids ,Male ,Mice ,Mice ,Inbred Strains ,Middle Aged ,Mutation ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundLoss-of-function variants in the angiopoietin-like 3 gene (ANGPTL3) have been associated with decreased plasma levels of triglycerides, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol. It is not known whether such variants or therapeutic antagonism of ANGPTL3 are associated with a reduced risk of atherosclerotic cardiovascular disease.MethodsWe sequenced the exons of ANGPTL3 in 58,335 participants in the DiscovEHR human genetics study. We performed tests of association for loss-of-function variants in ANGPTL3 with lipid levels and with coronary artery disease in 13,102 case patients and 40,430 controls from the DiscovEHR study, with follow-up studies involving 23,317 case patients and 107,166 controls from four population studies. We also tested the effects of a human monoclonal antibody, evinacumab, against Angptl3 in dyslipidemic mice and against ANGPTL3 in healthy human volunteers with elevated levels of triglycerides or LDL cholesterol.ResultsIn the DiscovEHR study, participants with heterozygous loss-of-function variants in ANGPTL3 had significantly lower serum levels of triglycerides, HDL cholesterol, and LDL cholesterol than participants without these variants. Loss-of-function variants were found in 0.33% of case patients with coronary artery disease and in 0.45% of controls (adjusted odds ratio, 0.59; 95% confidence interval, 0.41 to 0.85; P=0.004). These results were confirmed in the follow-up studies. In dyslipidemic mice, inhibition of Angptl3 with evinacumab resulted in a greater decrease in atherosclerotic lesion area and necrotic content than a control antibody. In humans, evinacumab caused a dose-dependent placebo-adjusted reduction in fasting triglyceride levels of up to 76% and LDL cholesterol levels of up to 23%.ConclusionsGenetic and therapeutic antagonism of ANGPTL3 in humans and of Angptl3 in mice was associated with decreased levels of all three major lipid fractions and decreased odds of atherosclerotic cardiovascular disease. (Funded by Regeneron Pharmaceuticals and others; ClinicalTrials.gov number, NCT01749878 .).
- Published
- 2017
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