We investigated the genetic profiles of killer cell immunoglobulin-like receptors (KIRs) in Ebola virus-infected patients. We studied the relationship between KIR-human leukocyte antigen (HLA) combinations and the clinical outcomes of patients with Ebola virus disease (EVD). We genotyped KIRs and HLA class I alleles using DNA from uninfected controls, EVD survivors, and persons who died of EVD. The activating 2DS4-003 and inhibitory 2DL5 genes were significantly more common among persons who died of EVD; 2DL2 was more common among survivors. We used logistic regression analysis and Bayesian modeling to identify 2DL2, 2DL5, 2DS4-003, HLA-B-Bw4-Thr, and HLA-B-Bw4-Ile as probably having a significant relationship with disease outcome. Our findings highlight the importance of innate immune response against Ebola virus and show the association between KIRs and the clinical outcome of EVD.
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http://dx.doi.org/10.3201/eid2701.202177 | DOI Listing |
Dendritic cells connect innate and adaptive immune responses. This is a particularly important immune checkpoint in the case of emerging infections against which most of the population does not have preexisting antibody immunity. In this study, we sought to test whether antibody-based delivery of Ebola virus (EBOV) antigens to dendritic cells could be used as a vaccination strategy against Ebola virus disease.
View Article and Find Full Text PDFMar Drugs
January 2025
Nebraska Center for Virology, School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
Filoviruses, mainly consisting of the two genera of and , are enveloped negative-strand RNA viruses that can infect humans to cause severe hemorrhagic fevers and outbreaks with high mortality rates. However, we still do not have effective medicines for treating these diseases. To search for effective drugs, we have identified three marine indole alkaloids that exhibit potent activities against filovirus infection.
View Article and Find Full Text PDFGenes Genomics
January 2025
Department of Medicine, BioSystems Design Lab, College of Medicine, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Korea.
Background: This study explores the cross-fertilization of transgenic tobacco plants to produce dual-specific monoclonal antibodies (mAbs) targeting Ebola virus-like particles and HER2 proteins. We generated F plants by hybridizing individual transgenic lines expressing the anti-HER2 breast cancer VHH mAb (HV) and the H-13F6 human anti-Ebola large single chain mAb (EL).
Objective: Hybridizing transgenic plants to express dual-antibodies between different structures VHH and LSCK indicate the potential of transgenic plants as a cost-effective and scalable production system for dual targeting mAbs.
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.
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