Methods for the Simultaneous Detection of Multiple Analytes

CDC researchers have developed a method of simultaneously detecting and distinguishing multiple antigens within a biological sample. Epidemiological and vaccine studies require species serotype identification. Current methods of serotyping are labor intensive and can easily give subjective, errant results. This technology utilizes serotype specific antibodies bound to fluorescent beads, allowing for simultaneous single tube capture and detection of multiple antigens in one rapid, high-throughput flow cytometry assay.

Novel In Vitro Granuloma Model for Studying Tuberculosis and Drug Efficacy

CDC researchers have developed an in vitro model system designed to simulate early-stage Mycobacterium tuberculosis infection and induced granuloma formation. This modeling platform can be used for studying tuberculosis pathogenicity, identifying phenotypically-interesting clinical isolates, studying early-stage host cytokine/chemokine responses, and in vitro candidate-drug screening.

Novel Small Molecule Antimalarials for Elimination of Malaria Transmission

The transmission of malaria begins with injection of sporozoites into a human from the bite of a female anopheles mosquito, which initiates the malarial life cycle in humans. When a mosquito bites an infected human, the ingested male and female malaria gametocytes fuse to form a zygote that eventually becomes an oocyst. Each oocyst produces thousands of sporozoites which migrate to the mosquito salivary glands, ready to infect a new human host.

Role of Novel Hepatitis Delta Virus Variant in Sjogren’s Syndrome

Sjögren’s is a chronic autoimmune disease characterized by dry mouth and eyes, fatigue, and musculoskeletal pain resulting from the attack of the moisture-producing glands by the body’s own white blood cells. The subject invention is based on the discovery of an association between infection by a novel clade 1 variant of hepatitis delta virus (HDV) and primary Sjögren’s syndrome.

Local Positioning System for Position-Time-Condition Correlation, Data-logging and Analysis

This CDC-developed technology describes an automated system for monitoring worker hazard exposures by recording data about where and when hazards occur in a workplace or other environment. This allows the hazards to be avoided and harmful exposures and risks reduced. This field-tested technology consists of an integrated, hand-held electronics instrument and software system that will precisely correlate multiple exposure levels with position coordinates of the user and features real-time data acquisition.

MDCK-based Reporter System for Detection of Influenza Viruses, Antiviral Drug Screening, and Analysis of Neutralizing Antibodies

CDC researchers have developed a Madin-Darby Canine Kidney (MDCK) reporter cell line that is exceptionally permissive for influenza virus replication and provides a highly specific, sensitive approach for the simultaneous detection and isolation of influenza viruses. Simplified antibody neutralization assays and high-throughput antiviral drug screening can also be easily and efficiently implemented using this reporter system.

Improved Acoustic Plethysmograph System for Noninvasive Measurement of Pulmonary Function

CDC researchers have developed a novel acoustic whole body plethysmograph (AWBP) that allows measurement of tidal volume in lab animals, independent of gas compression in the lung. This system provides particular advantages over the traditional whole body plethysmograph (WBP) when measuring model animals with increased gas compression due to increased airway resistance or increased acceleration in the breathing pattern.

Focused Electrostatic Collection of Aerosol Particles for Chemical Analysis by Spectroscopic Techniques

This CDC-developed technology is an aerosol preconcentration unit (APU) designed for use with spectroscopic detection techniques, including emission, Raman, or infrared spectroscopies. Most existing pulsed microplasma techniques, such as laser-induced breakdown, for aerosols rely mainly on filter-based collection and suffer from poor accuracy, precision, and detection limits and require long sample collection times.