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This invention relates to recombinant Rift Valley fever (RVF) viruses containing deletions in one or more virulence genes. The recombinant RVF viruses, generated using a plasmid-based reverse genetics system, can be used as vaccines to prevent RVF infection in livestock and humans. The recombinant RVF viruses grow to high titers, provide protective immunity following a single injection, and allow for the differentiation between vaccinated animals and animals infected with wild-type RVF virus.

This invention pertains to nucleic acid-based assays for the detection of Aspergillus and other filamentous fungi. Assays cover the species-specific detection and diagnosis of infection by Aspergillus, Fusarium, Mucor, Penecillium, Rhizomucor, Absidia, Cunninghamella, Pseudallescheria or Sporthrix in a subject. This can reduce identification time from several days by conventional culture methods to a matter of hours.

This invention, entailsnucleic acid-based assays, for detecting the presence of pathogenic fungi such as Histoplasma capsulatum, Blastomyces dermatitidis, Coccidioides immitis, Pneumocystis brasiliensis, and/or Penicillium marneffei within a sample. Within a healthcare setting, this particular approach can greatly reduce pathogen identification time, better direct treatments and ultimately improve patient outcomes.

This invention relates to assays for the detection and species-specific identification of Aspergillus fungi. Accurate clinical diagnosis of Aspergillus species has become increasingly important as certain species, such as A. terreus and A. fumigatus, are resistant to specific commonly employed antifungal compounds. Most contemporary fungal diagnostic methods are time-consuming and inaccurate.

This invention pertains to the development of oligonucleotides for the rapid nucleic acid-based identification of Candida or Aspergillus fungi species in biological samples. This identification is accomplished by the targeting the internally transcribed spacer-2 (ITS2) region that are unique to various Candida species. The assay is sensitive, specific and rapid. Implementation of the technology will facilitate earlier specific diagnoses, and lead to better antifungal therapy implementation for infected patients.

This invention pertains to the development of oligonucleotides for the rapid nucleic acid-based identification of the Candida fungi species C. haemulonii, C. kefyr, C. lambica, C. lusitaniae, C. norvegensis, C. norvegica, C. rugosa, C. utilis, C. viswanathii, C. zeylanoides, C. dubliniensis, and C. pelliculosa within biological samples. This identification is accomplished by the targeting the internally transcribed spacer-2 (ITS2) region that are specific for each species.

This CDC invention relates to primers and probes that specifically hybridize with Heartland virus (HRTLDV), a unique member of the genus Phlebovirus. It further relates to polyclonal antibodies specific for HRTLDV proteins. Serological detection assays using HRTLDV nucleic acid molecules, proteins, probes, primers, and antibodies are provided. Importantly, the HRTLDV genome can be engineered using reverse genetics to be attenuated, allowing development of a vaccine for other viruses within the Phlebovirus genus or Bunyaviridae family.

This technology is directed to the discovery of specific microRNAs that target and downregulate enzymes within the cholesterol biosynthetic pathway and is currently being tested in vivo.

Scientists at NIAID have developed a method of treatment for virus-induced lung fibrosis using nebulized thrombin inhibitors. Since March 2020, the WHO estimates that 564 million people have been infected with SARS-CoV-2 world-wide. Lung fibrosis is a major factor associated with SARS-CoV-2 infections and can contribute to mortality. Additionally, severe SARS-CoV-2 cases can result in long-term pulmonary disease due to lung fibrosis. At present, attempts to treat lung fibrosis developed during a SARS-CoV-2 infection using intravenous heparin have been unsuccessful.

The invention pertains to software processes, additions, and docking approaches to Autodock Vina that speeds the rate and efficiency of analyzing ligand interactions with a receptor by cognate ligands and rewards conformations in the scoring algorithm for residue interactions that are based on the biological data. The score is multiplied by a weighting factor to control the degree of ligand-residue interactions that are considered. This multiplier is then added to the docking score for confirmation.