Ebola virus (EBOV), an emerging pathogen, is the causative agent of a rapidly progressive hemorrhagic fever with high mortality rates. There are currently no approved vaccines or treatments available for Ebola hemorrhagic fever. Standard plaque assays are currently the only reliable techniques for enumerating the virus. Effective drug-discovery screening as well as target identification and validation require simple and more rapid detection methods. This report describes the development of a rapid ELISA that measures virus release with high sensitivity. This assay detects both Ebola virus and EBOV-like particles (VLPs) directly from cell-culture supernatants with the VP40 matrix protein serving as antigen. Using this assay, the contribution of the EBOV nucleocapsid (NC) proteins in VLP release was determined. These findings indicate that a combination of NC proteins together with the envelope components is optimal for VLP formation and release, a finding that is important for vaccination with Ebola VLPs. Furthermore, this assay can be used in surrogate models in non-biocontainment environment, facilitating both basic research on the mechanism of EBOV assembly and budding as well as drug-discovery research.
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http://dx.doi.org/10.1016/j.jviromet.2005.02.015 | DOI Listing |
Viruses
December 2024
Gilead Sciences, Inc., Foster City, CA 94404, USA.
Ebola virus (EBOV) causes severe disease in humans, with mortality as high as 90%. The small-molecule antiviral drug remdesivir (RDV) has demonstrated a survival benefit in EBOV-exposed rhesus macaques. Here, we characterize the efficacy of multiple intravenous RDV dosing regimens on survival of rhesus macaques 42 days after intramuscular EBOV exposure.
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November 2024
Viral Immunology Branch, Virology Division, U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA.
The Ebola virus (EBOV) causes severe disease in humans, and animal models are needed to evaluate the efficacy of vaccines and therapeutics. While non-human primate (NHP) and rodent EBOV infection models have been well characterized, there is a growing need for an intermediate model. Here, we provide the first report of a small-particle aerosol (AE) EBOV ferret model and disease progression compared with the intramuscular (IM) EBOV ferret model.
View Article and Find Full Text PDFVaccines (Basel)
December 2024
IAVI, 125 Broad St, New York, NY 10004, USA.
: Orthoebolaviruses and orthomarburgviruses are filoviruses that can cause viral hemorrhagic fever and significant morbidity and mortality in humans. The evaluation and deployment of vaccines to prevent and control Ebola and Marburg outbreaks must be informed by an understanding of the transmission and natural history of the causative infections, but little is known about the burden of asymptomatic infection or undiagnosed disease. This systematic review of the published literature examined the seroprevalence of antibodies to orthoebolaviruses and orthomarburgviruses in sub-Saharan Africa.
View Article and Find Full Text PDFMicroorganisms
November 2024
Biology Department, University of Puerto Rico-Rio Piedras, San Juan 00931, Puerto Rico.
'Frozen' virus genome sequences are sampled from outbreaks and have unusually low sequence divergence when compared to genome sequences from historical strains. A growing number of 'frozen' virus genome sequences are being reported as virus genome sequencing becomes more common. Examples of 'frozen' sequences include the 1977 H1N1 'Russian' flu; Venezuelan Equine Encephalitis Virus from Venezuela and Colombia in 1995; E71 sequences from a Hand, Foot and Mouth outbreak in 2007-2009 in China; and a polio strain isolated in 2014 from Anhui, China.
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
January 2025
Department of Mathematics, Faculty of Mathematics, Statistics and Computer Sciences, Semnan University, Semnan, Iran.
This paper presents a fractional-order model using the Caputo differential operator to study Ebola Virus Disease (EVD) dynamics, calibrated with Liberian data. The model demonstrates improved accuracy over integer-order counterparts, particularly in capturing behavioral changes during outbreaks. Stability analysis, Lyapunov functions, and a validated numerical method strengthen its mathematical foundation.
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