Marburg Virus

2016 ◽  
pp. 535-546
Keyword(s):  
Marburg Virus

scholarly journals Determining the Patchwork Lattice of Ebola and Marburg Virus Matrix Layers Using Cryo-Electron Tomography

2021 ◽  
Vol 27 (S1) ◽  
pp. 1884-1884
Author(s):  
William Wan ◽  
Mairi Clarke ◽  
Michael Norris ◽  
Larissa Kolesnikova ◽  
Alexander Koehler ◽  
...  
Keyword(s):  
Electron Tomography ◽  
Marburg Virus ◽  
Cryo Electron Tomography

scholarly journals Combination therapy protects macaques against advanced Marburg virus disease

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Robert W. Cross ◽  
Zachary A. Bornholdt ◽  
Abhishek N. Prasad ◽  
Viktoriya Borisevich ◽  
Krystle N. Agans ◽  
...  
Keyword(s):  
Combination Therapy ◽  
Rhesus Monkeys ◽  
Viral Infections ◽  
Virus Disease ◽  
Marburg Virus ◽  
Therapeutic Window ◽  
Post Inoculation ◽  
Primate Model ◽  
Lethal Infection ◽  
Human Primate

AbstractMonoclonal antibodies (mAbs) and remdesivir, a small-molecule antiviral, are promising monotherapies for many viruses, including members of the genera Marburgvirus and Ebolavirus (family Filoviridae), and more recently, SARS-CoV-2. One of the major challenges of acute viral infections is the treatment of advanced disease. Thus, extending the window of therapeutic intervention is critical. Here, we explore the benefit of combination therapy with a mAb and remdesivir in a non-human primate model of Marburg virus (MARV) disease. While rhesus monkeys are protected against lethal infection when treatment with either a human mAb (MR186-YTE; 100%), or remdesivir (80%), is initiated 5 days post-inoculation (dpi) with MARV, no animals survive when either treatment is initiated alone beginning 6 dpi. However, by combining MR186-YTE with remdesivir beginning 6 dpi, significant protection (80%) is achieved, thereby extending the therapeutic window. These results suggest value in exploring combination therapy in patients presenting with advanced filovirus disease.

scholarly journals Deep learning-based recognition of cell structures in fluorescence microscopy sequences with respect to their morphology on cells infected with Marburg virus

2020 ◽  
Vol 6 (3) ◽  
pp. 501-504
Author(s):  
Dennis Schmidt ◽  
Andreas Rausch ◽  
Thomas Schanze
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Infected Cell ◽  
Network Architecture ◽  
Image Sequences ◽  
Marburg Virus ◽  
Microscopic Image ◽  
Cell Structures ◽  
Fast Recognition ◽  
Subviral Particles

AbstractThe Institute of Virology at the Philipps-Universität Marburg is currently researching possible drugs to combat the Marburg virus. This involves classifying cell structures based on fluoroscopic microscopic image sequences. Conventionally, membranes of cells must be marked for better analysis, which is time consuming. In this work, an approach is presented to identify cell structures in images that are marked for subviral particles. It could be shown that there is a correlation between the distribution of subviral particles in an infected cell and the position of the cell’s structures. The segmentation is performed with a "Mask-R-CNN" algorithm, presented in this work. The model (a region-based convolutional neural network) is applied to enable a robust and fast recognition of cell structures. Furthermore, the network architecture is described. The proposed method is tested on data evaluated by experts. The results show a high potential and demonstrate that the method is suitable.

scholarly journals Fractal Dimensions of Subviral Particle Movement

2018 ◽  
Vol 4 (1) ◽  
pp. 79-82 ◽  
Author(s):  
Andreas Rausch ◽  
Thomas Schanze
Keyword(s):  
Virus Disease ◽  
Fractal Dimensions ◽  
Real Data ◽  
Marburg Virus ◽  
Virus Infections ◽  
Fluorescence Image ◽  
Good Potential ◽  
Infected Cells ◽  
Subviral Particle ◽  
Subviral Particles

AbstractThe development of new medicines against virus infections like the Marburg virus disease requires an accurate knowledge of the respective pathogens. Conventionally, this process is very time expensive. In cooperation with the Virology of the Philipps-University in Marburg an automatic tracking algorithm for subviral particles in fluorescence image sequences was developed and programmed. To expand the benefit for the pharmaceutical researchers, also the trackevaluations need to be widely automated. In this work, a new parameterizing-method facing the fractal dimensions of spline interpolated subviral particle tracks is presented and tested with simulated and real data. The results reveal a good potential to classify tracks and, thus, types of subviral particles in infected cells.

scholarly journals Marburg virus survivor immune responses are Th1 skewed with limited neutralizing antibody responses

2017 ◽  
Vol 214 (9) ◽  
pp. 2563-2572 ◽  
Author(s):  
Spencer W. Stonier ◽  
Andrew S. Herbert ◽  
Ana I. Kuehne ◽  
Ariel Sobarzo ◽  
Polina Habibulin ◽  
...  
Keyword(s):  
T Cell ◽  
Immune Responses ◽  
Ebola Virus ◽  
T Cell Responses ◽  
Neutralizing Antibody ◽  
Cd8 T Cell ◽  
Marburg Virus ◽  
Antibody Responses ◽  
Cd4 T Cell ◽  
Cell Responses

Until recently, immune responses in filovirus survivors remained poorly understood. Early studies revealed IgM and IgG responses to infection with various filoviruses, but recent outbreaks have greatly expanded our understanding of filovirus immune responses. Immune responses in survivors of Ebola virus (EBOV) and Sudan virus (SUDV) infections have provided the most insight, with T cell responses as well as detailed antibody responses having been characterized. Immune responses to Marburg virus (MARV), however, remain almost entirely uncharacterized. We report that immune responses in MARV survivors share characteristics with EBOV and SUDV infections but have some distinct differences. MARV survivors developed multivariate CD4+ T cell responses but limited CD8+ T cell responses, more in keeping with SUDV survivors than EBOV survivors. In stark contrast to SUDV survivors, rare neutralizing antibody responses in MARV survivors diminished rapidly after the outbreak. These results warrant serious consideration for any vaccine or therapeutic that seeks to be broadly protective, as different filoviruses may require different immune responses to achieve immunity.

scholarly journals Marburg Virus Reverse Genetics Systems

Viruses ◽  
2016 ◽  
Vol 8 (6) ◽  
pp. 178 ◽  
Author(s):  
Kristina Schmidt ◽  
Elke Mühlberger
Keyword(s):  
Reverse Genetics ◽  
Marburg Virus
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