MB-003, a plant-derived monoclonal antibody cocktail used effectively in treatment of Ebola virus infection in non-human primates, was unable to protect two of six animals when initiated 1 or 2 days post-infection. We characterized a mechanism of viral escape in one of the animals, after observation of two clusters of genomic mutations that resulted in five nonsynonymous mutations in the monoclonal antibody target sites. These mutations were linked to a reduction in antibody binding and later confirmed to be present in a viral isolate that was not neutralized in vitro. Retrospective evaluation of a second independent study allowed the identification of a similar case. Four SNPs in previously identified positions were found in this second fatality, suggesting that genetic drift could be a potential cause for treatment failure. These findings highlight the importance selecting different target domains for each component of the cocktail to minimize the potential for viral escape.
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http://dx.doi.org/10.1016/j.celrep.2015.08.038 | DOI Listing |
J Immunol Methods
January 2025
Institute of Biomedical Systems and Biotechnology, Peter the Great Saint Petersburg Polytechnic University, 29 Ulitsa Polytechnicheskaya, St. Petersburg 194064, Russia; Smorodintsev Research Institute of Influenza, Russian Ministry of Health, 15/17 Ulitsa Prof. Popova, St. Petersburg 197376, Russia; Institute of Experimental Medicine, 12 Ulitsa Akademika Pavlova, St. Petersburg 197376, Russia.
Background: Rapid vaccine platforms development is crucial for responding to epidemics and pandemics of emerging infectious diseases, such as Ebola. This study explores the potential of peptide vaccines that self-organize into amyloid-like fibrils, aiming to enhance immunogenicity while considering safety and cross-reactivity.
Methods: We synthesized two peptides, G33 and G31, corresponding to a segment of the Ebola virus GP2 protein, with G33 known to form amyloid-like fibrils.
Gene
January 2025
Department of Computer and Information Science (IDA), REAL, AIICS, Linköping University, Sweden; Department of Computer Science & Engineering, Techno International New Town, Kolkata, India. Electronic address:
The goal of this research work is to predict protein-protein interactions (PPIs) between the Ebola virus and the host who is at risk of infection. Since there are very limited databases available on the Ebola virus; we have prepared a comprehensive database of all the PPIs between the Ebola virus and human proteins (EbolaInt). Our work focuses on the finding of some new protein-protein interactions between humans and the Ebola virus using some state- of-the-arts machine learning techniques.
View Article and Find Full Text PDFComput Biol Chem
January 2025
Department of Mathematics, College of Science, Qassim University, Buraydah 51452, Saudi Arabia.
This study develops an Artificial Neural Network (ANN)-based framework to model the transmission dynamics and long-term disability outcomes of Ebola Virus Disease (EVD). Building on existing deterministic SEIR models, we extend the framework by introducing a disability compartment, capturing the progression of Ebola survivors to chronic health complications, such as post-Ebola syndrome. The proposed model stratifies the population into various epidemiological states, incorporating delays to better reflect the natural progression and intervention strategies associated with EVD.
View Article and Find Full Text PDFBackground: The interactions between virus and the host immune response are nuanced and intricate. The cytokine response arguably plays a central role in dictating the outcome of virus infection, balancing inflammation and healing, which is crucial to resolving infection without destructive immunopathologies.
Summary: Early innate immune responses are key to the generation of a beneficial or detrimental immune response.
Cell Host Microbe
January 2025
Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA. Electronic address:
Evidence suggests that bats are important hosts of filoviruses, yet the specific species involved remain largely unidentified. Niemann-Pick C1 (NPC1) is an essential entry receptor, with amino acid variations influencing viral susceptibility and species-specific tropism. Herein, we conducted combinatorial binding studies with seven filovirus glycoproteins (GPs) and NPC1 orthologs from 81 bat species.
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