UCF researchers have discovered a rapid, cost-effective method to test samples for mycobacterial infection. This measurement can be obtained by assaying a biological sample from the subject, providing a more cost effective, less labor intensive testing process. Once a mycobacterium is identified, this method can be further used to monitor the infection after treatment with an antibiotic.
Bacterial infections are a major global healthcare problem. Mycobacterial infections are believed to be involved in the pathogenesis of many diseases, including inflammatory bowel disease (e.g., Crohn’s disease and ulcerative colitis), tuberculosis, Type 1 diabetes mellitus, and multiple sclerosis. A key challenge in obtaining more rapid diagnoses and providing subsequent treatment is that currently available detection methods of mycobacteria require several months of culture incubation and/or molecular techniques, such as polymerase chain reaction (PCR), requiring extensive time, labor, and costs, as well as delays any potential therapeutic intervention.
Mycobacterial infections can be detected in biological samples (bodily fluids or tissue sample) with standard detection methods such as high-performance liquid chromatography (HPLC), immunoassay, and colorimetric assay. These methods can be used to directly, as well as indirectly, detect the presence of selenium (HPLC) or selenoprotein (immunoassay or colorimetric assay).
Looking for Partners
Looking for a partner to validate testing, conduct pre-clinical and clinical testing, and commercialize the technology.
Stage of Development
Initial laboratory tested; pre-clinical and clinical validation
- Rapid test results
- Less labor intensive
- Pathology labs
- Dairy industries
- Beef industries